From ad4de819c43997f2666b5bad95301f5c37f9018e Mon Sep 17 00:00:00 2001
From: victorca25 <victorca25@users.noreply.github.com>
Date: Sun, 9 Oct 2022 13:02:12 +0200
Subject: [PATCH 001/321] update ESRGAN architecture and model to support all
 ESRGAN models in the DB, BSRGAN and real-ESRGAN models

---
 modules/bsrgan_model.py      |  76 ------
 modules/bsrgan_model_arch.py | 102 --------
 modules/esrgam_model_arch.py |  80 ------
 modules/esrgan_model.py      | 178 +++++++++-----
 modules/esrgan_model_arch.py | 463 +++++++++++++++++++++++++++++++++++
 5 files changed, 585 insertions(+), 314 deletions(-)
 delete mode 100644 modules/bsrgan_model.py
 delete mode 100644 modules/bsrgan_model_arch.py
 delete mode 100644 modules/esrgam_model_arch.py
 create mode 100644 modules/esrgan_model_arch.py

diff --git a/modules/bsrgan_model.py b/modules/bsrgan_model.py
deleted file mode 100644
index 737e1a76..00000000
--- a/modules/bsrgan_model.py
+++ /dev/null
@@ -1,76 +0,0 @@
-import os.path
-import sys
-import traceback
-
-import PIL.Image
-import numpy as np
-import torch
-from basicsr.utils.download_util import load_file_from_url
-
-import modules.upscaler
-from modules import devices, modelloader
-from modules.bsrgan_model_arch import RRDBNet
-
-
-class UpscalerBSRGAN(modules.upscaler.Upscaler):
-    def __init__(self, dirname):
-        self.name = "BSRGAN"
-        self.model_name = "BSRGAN 4x"
-        self.model_url = "https://github.com/cszn/KAIR/releases/download/v1.0/BSRGAN.pth"
-        self.user_path = dirname
-        super().__init__()
-        model_paths = self.find_models(ext_filter=[".pt", ".pth"])
-        scalers = []
-        if len(model_paths) == 0:
-            scaler_data = modules.upscaler.UpscalerData(self.model_name, self.model_url, self, 4)
-            scalers.append(scaler_data)
-        for file in model_paths:
-            if "http" in file:
-                name = self.model_name
-            else:
-                name = modelloader.friendly_name(file)
-            try:
-                scaler_data = modules.upscaler.UpscalerData(name, file, self, 4)
-                scalers.append(scaler_data)
-            except Exception:
-                print(f"Error loading BSRGAN model: {file}", file=sys.stderr)
-                print(traceback.format_exc(), file=sys.stderr)
-        self.scalers = scalers
-
-    def do_upscale(self, img: PIL.Image, selected_file):
-        torch.cuda.empty_cache()
-        model = self.load_model(selected_file)
-        if model is None:
-            return img
-        model.to(devices.device_bsrgan)
-        torch.cuda.empty_cache()
-        img = np.array(img)
-        img = img[:, :, ::-1]
-        img = np.moveaxis(img, 2, 0) / 255
-        img = torch.from_numpy(img).float()
-        img = img.unsqueeze(0).to(devices.device_bsrgan)
-        with torch.no_grad():
-            output = model(img)
-        output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
-        output = 255. * np.moveaxis(output, 0, 2)
-        output = output.astype(np.uint8)
-        output = output[:, :, ::-1]
-        torch.cuda.empty_cache()
-        return PIL.Image.fromarray(output, 'RGB')
-
-    def load_model(self, path: str):
-        if "http" in path:
-            filename = load_file_from_url(url=self.model_url, model_dir=self.model_path, file_name="%s.pth" % self.name,
-                                          progress=True)
-        else:
-            filename = path
-        if not os.path.exists(filename) or filename is None:
-            print(f"BSRGAN: Unable to load model from {filename}", file=sys.stderr)
-            return None
-        model = RRDBNet(in_nc=3, out_nc=3, nf=64, nb=23, gc=32, sf=4)  # define network
-        model.load_state_dict(torch.load(filename), strict=True)
-        model.eval()
-        for k, v in model.named_parameters():
-            v.requires_grad = False
-        return model
-
diff --git a/modules/bsrgan_model_arch.py b/modules/bsrgan_model_arch.py
deleted file mode 100644
index cb4d1c13..00000000
--- a/modules/bsrgan_model_arch.py
+++ /dev/null
@@ -1,102 +0,0 @@
-import functools
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torch.nn.init as init
-
-
-def initialize_weights(net_l, scale=1):
-    if not isinstance(net_l, list):
-        net_l = [net_l]
-    for net in net_l:
-        for m in net.modules():
-            if isinstance(m, nn.Conv2d):
-                init.kaiming_normal_(m.weight, a=0, mode='fan_in')
-                m.weight.data *= scale  # for residual block
-                if m.bias is not None:
-                    m.bias.data.zero_()
-            elif isinstance(m, nn.Linear):
-                init.kaiming_normal_(m.weight, a=0, mode='fan_in')
-                m.weight.data *= scale
-                if m.bias is not None:
-                    m.bias.data.zero_()
-            elif isinstance(m, nn.BatchNorm2d):
-                init.constant_(m.weight, 1)
-                init.constant_(m.bias.data, 0.0)
-
-
-def make_layer(block, n_layers):
-    layers = []
-    for _ in range(n_layers):
-        layers.append(block())
-    return nn.Sequential(*layers)
-
-
-class ResidualDenseBlock_5C(nn.Module):
-    def __init__(self, nf=64, gc=32, bias=True):
-        super(ResidualDenseBlock_5C, self).__init__()
-        # gc: growth channel, i.e. intermediate channels
-        self.conv1 = nn.Conv2d(nf, gc, 3, 1, 1, bias=bias)
-        self.conv2 = nn.Conv2d(nf + gc, gc, 3, 1, 1, bias=bias)
-        self.conv3 = nn.Conv2d(nf + 2 * gc, gc, 3, 1, 1, bias=bias)
-        self.conv4 = nn.Conv2d(nf + 3 * gc, gc, 3, 1, 1, bias=bias)
-        self.conv5 = nn.Conv2d(nf + 4 * gc, nf, 3, 1, 1, bias=bias)
-        self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
-
-        # initialization
-        initialize_weights([self.conv1, self.conv2, self.conv3, self.conv4, self.conv5], 0.1)
-
-    def forward(self, x):
-        x1 = self.lrelu(self.conv1(x))
-        x2 = self.lrelu(self.conv2(torch.cat((x, x1), 1)))
-        x3 = self.lrelu(self.conv3(torch.cat((x, x1, x2), 1)))
-        x4 = self.lrelu(self.conv4(torch.cat((x, x1, x2, x3), 1)))
-        x5 = self.conv5(torch.cat((x, x1, x2, x3, x4), 1))
-        return x5 * 0.2 + x
-
-
-class RRDB(nn.Module):
-    '''Residual in Residual Dense Block'''
-
-    def __init__(self, nf, gc=32):
-        super(RRDB, self).__init__()
-        self.RDB1 = ResidualDenseBlock_5C(nf, gc)
-        self.RDB2 = ResidualDenseBlock_5C(nf, gc)
-        self.RDB3 = ResidualDenseBlock_5C(nf, gc)
-
-    def forward(self, x):
-        out = self.RDB1(x)
-        out = self.RDB2(out)
-        out = self.RDB3(out)
-        return out * 0.2 + x
-
-
-class RRDBNet(nn.Module):
-    def __init__(self, in_nc=3, out_nc=3, nf=64, nb=23, gc=32, sf=4):
-        super(RRDBNet, self).__init__()
-        RRDB_block_f = functools.partial(RRDB, nf=nf, gc=gc)
-        self.sf = sf
-
-        self.conv_first = nn.Conv2d(in_nc, nf, 3, 1, 1, bias=True)
-        self.RRDB_trunk = make_layer(RRDB_block_f, nb)
-        self.trunk_conv = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        #### upsampling
-        self.upconv1 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        if self.sf==4:
-            self.upconv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        self.HRconv = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        self.conv_last = nn.Conv2d(nf, out_nc, 3, 1, 1, bias=True)
-
-        self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
-
-    def forward(self, x):
-        fea = self.conv_first(x)
-        trunk = self.trunk_conv(self.RRDB_trunk(fea))
-        fea = fea + trunk
-
-        fea = self.lrelu(self.upconv1(F.interpolate(fea, scale_factor=2, mode='nearest')))
-        if self.sf==4:
-            fea = self.lrelu(self.upconv2(F.interpolate(fea, scale_factor=2, mode='nearest')))
-        out = self.conv_last(self.lrelu(self.HRconv(fea)))
-
-        return out
\ No newline at end of file
diff --git a/modules/esrgam_model_arch.py b/modules/esrgam_model_arch.py
deleted file mode 100644
index e413d36e..00000000
--- a/modules/esrgam_model_arch.py
+++ /dev/null
@@ -1,80 +0,0 @@
-# this file is taken from https://github.com/xinntao/ESRGAN
-
-import functools
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-
-def make_layer(block, n_layers):
-    layers = []
-    for _ in range(n_layers):
-        layers.append(block())
-    return nn.Sequential(*layers)
-
-
-class ResidualDenseBlock_5C(nn.Module):
-    def __init__(self, nf=64, gc=32, bias=True):
-        super(ResidualDenseBlock_5C, self).__init__()
-        # gc: growth channel, i.e. intermediate channels
-        self.conv1 = nn.Conv2d(nf, gc, 3, 1, 1, bias=bias)
-        self.conv2 = nn.Conv2d(nf + gc, gc, 3, 1, 1, bias=bias)
-        self.conv3 = nn.Conv2d(nf + 2 * gc, gc, 3, 1, 1, bias=bias)
-        self.conv4 = nn.Conv2d(nf + 3 * gc, gc, 3, 1, 1, bias=bias)
-        self.conv5 = nn.Conv2d(nf + 4 * gc, nf, 3, 1, 1, bias=bias)
-        self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
-
-        # initialization
-        # mutil.initialize_weights([self.conv1, self.conv2, self.conv3, self.conv4, self.conv5], 0.1)
-
-    def forward(self, x):
-        x1 = self.lrelu(self.conv1(x))
-        x2 = self.lrelu(self.conv2(torch.cat((x, x1), 1)))
-        x3 = self.lrelu(self.conv3(torch.cat((x, x1, x2), 1)))
-        x4 = self.lrelu(self.conv4(torch.cat((x, x1, x2, x3), 1)))
-        x5 = self.conv5(torch.cat((x, x1, x2, x3, x4), 1))
-        return x5 * 0.2 + x
-
-
-class RRDB(nn.Module):
-    '''Residual in Residual Dense Block'''
-
-    def __init__(self, nf, gc=32):
-        super(RRDB, self).__init__()
-        self.RDB1 = ResidualDenseBlock_5C(nf, gc)
-        self.RDB2 = ResidualDenseBlock_5C(nf, gc)
-        self.RDB3 = ResidualDenseBlock_5C(nf, gc)
-
-    def forward(self, x):
-        out = self.RDB1(x)
-        out = self.RDB2(out)
-        out = self.RDB3(out)
-        return out * 0.2 + x
-
-
-class RRDBNet(nn.Module):
-    def __init__(self, in_nc, out_nc, nf, nb, gc=32):
-        super(RRDBNet, self).__init__()
-        RRDB_block_f = functools.partial(RRDB, nf=nf, gc=gc)
-
-        self.conv_first = nn.Conv2d(in_nc, nf, 3, 1, 1, bias=True)
-        self.RRDB_trunk = make_layer(RRDB_block_f, nb)
-        self.trunk_conv = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        #### upsampling
-        self.upconv1 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        self.upconv2 = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        self.HRconv = nn.Conv2d(nf, nf, 3, 1, 1, bias=True)
-        self.conv_last = nn.Conv2d(nf, out_nc, 3, 1, 1, bias=True)
-
-        self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
-
-    def forward(self, x):
-        fea = self.conv_first(x)
-        trunk = self.trunk_conv(self.RRDB_trunk(fea))
-        fea = fea + trunk
-
-        fea = self.lrelu(self.upconv1(F.interpolate(fea, scale_factor=2, mode='nearest')))
-        fea = self.lrelu(self.upconv2(F.interpolate(fea, scale_factor=2, mode='nearest')))
-        out = self.conv_last(self.lrelu(self.HRconv(fea)))
-
-        return out
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py
index 3970e6e4..a49e2258 100644
--- a/modules/esrgan_model.py
+++ b/modules/esrgan_model.py
@@ -5,68 +5,115 @@ import torch
 from PIL import Image
 from basicsr.utils.download_util import load_file_from_url
 
-import modules.esrgam_model_arch as arch
+import modules.esrgan_model_arch as arch
 from modules import shared, modelloader, images, devices
 from modules.upscaler import Upscaler, UpscalerData
 from modules.shared import opts
 
 
-def fix_model_layers(crt_model, pretrained_net):
-    # this code is adapted from https://github.com/xinntao/ESRGAN
-    if 'conv_first.weight' in pretrained_net:
-        return pretrained_net
 
-    if 'model.0.weight' not in pretrained_net:
-        is_realesrgan = "params_ema" in pretrained_net and 'body.0.rdb1.conv1.weight' in pretrained_net["params_ema"]
-        if is_realesrgan:
-            raise Exception("The file is a RealESRGAN model, it can't be used as a ESRGAN model.")
-        else:
-            raise Exception("The file is not a ESRGAN model.")
+def mod2normal(state_dict):
+    # this code is copied from https://github.com/victorca25/iNNfer
+    if 'conv_first.weight' in state_dict:
+        crt_net = {}
+        items = []
+        for k, v in state_dict.items():
+            items.append(k)
 
-    crt_net = crt_model.state_dict()
-    load_net_clean = {}
-    for k, v in pretrained_net.items():
-        if k.startswith('module.'):
-            load_net_clean[k[7:]] = v
-        else:
-            load_net_clean[k] = v
-    pretrained_net = load_net_clean
+        crt_net['model.0.weight'] = state_dict['conv_first.weight']
+        crt_net['model.0.bias'] = state_dict['conv_first.bias']
 
-    tbd = []
-    for k, v in crt_net.items():
-        tbd.append(k)
+        for k in items.copy():
+            if 'RDB' in k:
+                ori_k = k.replace('RRDB_trunk.', 'model.1.sub.')
+                if '.weight' in k:
+                    ori_k = ori_k.replace('.weight', '.0.weight')
+                elif '.bias' in k:
+                    ori_k = ori_k.replace('.bias', '.0.bias')
+                crt_net[ori_k] = state_dict[k]
+                items.remove(k)
 
-    # directly copy
-    for k, v in crt_net.items():
-        if k in pretrained_net and pretrained_net[k].size() == v.size():
-            crt_net[k] = pretrained_net[k]
-            tbd.remove(k)
+        crt_net['model.1.sub.23.weight'] = state_dict['trunk_conv.weight']
+        crt_net['model.1.sub.23.bias'] = state_dict['trunk_conv.bias']
+        crt_net['model.3.weight'] = state_dict['upconv1.weight']
+        crt_net['model.3.bias'] = state_dict['upconv1.bias']
+        crt_net['model.6.weight'] = state_dict['upconv2.weight']
+        crt_net['model.6.bias'] = state_dict['upconv2.bias']
+        crt_net['model.8.weight'] = state_dict['HRconv.weight']
+        crt_net['model.8.bias'] = state_dict['HRconv.bias']
+        crt_net['model.10.weight'] = state_dict['conv_last.weight']
+        crt_net['model.10.bias'] = state_dict['conv_last.bias']
+        state_dict = crt_net
+    return state_dict
 
-    crt_net['conv_first.weight'] = pretrained_net['model.0.weight']
-    crt_net['conv_first.bias'] = pretrained_net['model.0.bias']
 
-    for k in tbd.copy():
-        if 'RDB' in k:
-            ori_k = k.replace('RRDB_trunk.', 'model.1.sub.')
-            if '.weight' in k:
-                ori_k = ori_k.replace('.weight', '.0.weight')
-            elif '.bias' in k:
-                ori_k = ori_k.replace('.bias', '.0.bias')
-            crt_net[k] = pretrained_net[ori_k]
-            tbd.remove(k)
+def resrgan2normal(state_dict, nb=23):
+    # this code is copied from https://github.com/victorca25/iNNfer
+    if "conv_first.weight" in state_dict and "body.0.rdb1.conv1.weight" in state_dict:
+        crt_net = {}
+        items = []
+        for k, v in state_dict.items():
+            items.append(k)
 
-    crt_net['trunk_conv.weight'] = pretrained_net['model.1.sub.23.weight']
-    crt_net['trunk_conv.bias'] = pretrained_net['model.1.sub.23.bias']
-    crt_net['upconv1.weight'] = pretrained_net['model.3.weight']
-    crt_net['upconv1.bias'] = pretrained_net['model.3.bias']
-    crt_net['upconv2.weight'] = pretrained_net['model.6.weight']
-    crt_net['upconv2.bias'] = pretrained_net['model.6.bias']
-    crt_net['HRconv.weight'] = pretrained_net['model.8.weight']
-    crt_net['HRconv.bias'] = pretrained_net['model.8.bias']
-    crt_net['conv_last.weight'] = pretrained_net['model.10.weight']
-    crt_net['conv_last.bias'] = pretrained_net['model.10.bias']
+        crt_net['model.0.weight'] = state_dict['conv_first.weight']
+        crt_net['model.0.bias'] = state_dict['conv_first.bias']
+
+        for k in items.copy():
+            if "rdb" in k:
+                ori_k = k.replace('body.', 'model.1.sub.')
+                ori_k = ori_k.replace('.rdb', '.RDB')
+                if '.weight' in k:
+                    ori_k = ori_k.replace('.weight', '.0.weight')
+                elif '.bias' in k:
+                    ori_k = ori_k.replace('.bias', '.0.bias')
+                crt_net[ori_k] = state_dict[k]
+                items.remove(k)
+
+        crt_net[f'model.1.sub.{nb}.weight'] = state_dict['conv_body.weight']
+        crt_net[f'model.1.sub.{nb}.bias'] = state_dict['conv_body.bias']
+        crt_net['model.3.weight'] = state_dict['conv_up1.weight']
+        crt_net['model.3.bias'] = state_dict['conv_up1.bias']
+        crt_net['model.6.weight'] = state_dict['conv_up2.weight']
+        crt_net['model.6.bias'] = state_dict['conv_up2.bias']
+        crt_net['model.8.weight'] = state_dict['conv_hr.weight']
+        crt_net['model.8.bias'] = state_dict['conv_hr.bias']
+        crt_net['model.10.weight'] = state_dict['conv_last.weight']
+        crt_net['model.10.bias'] = state_dict['conv_last.bias']
+        state_dict = crt_net
+    return state_dict
+
+
+def infer_params(state_dict):
+    # this code is copied from https://github.com/victorca25/iNNfer
+    scale2x = 0
+    scalemin = 6
+    n_uplayer = 0
+    plus = False
+
+    for block in list(state_dict):
+        parts = block.split(".")
+        n_parts = len(parts)
+        if n_parts == 5 and parts[2] == "sub":
+            nb = int(parts[3])
+        elif n_parts == 3:
+            part_num = int(parts[1])
+            if (part_num > scalemin
+                and parts[0] == "model"
+                and parts[2] == "weight"):
+                scale2x += 1
+            if part_num > n_uplayer:
+                n_uplayer = part_num
+                out_nc = state_dict[block].shape[0]
+        if not plus and "conv1x1" in block:
+            plus = True
+
+    nf = state_dict["model.0.weight"].shape[0]
+    in_nc = state_dict["model.0.weight"].shape[1]
+    out_nc = out_nc
+    scale = 2 ** scale2x
+
+    return in_nc, out_nc, nf, nb, plus, scale
 
-    return crt_net
 
 class UpscalerESRGAN(Upscaler):
     def __init__(self, dirname):
@@ -109,20 +156,39 @@ class UpscalerESRGAN(Upscaler):
             print("Unable to load %s from %s" % (self.model_path, filename))
             return None
 
-        pretrained_net = torch.load(filename, map_location='cpu' if devices.device_esrgan.type == 'mps' else None)
-        crt_model = arch.RRDBNet(3, 3, 64, 23, gc=32)
+        state_dict = torch.load(filename, map_location='cpu' if devices.device_esrgan.type == 'mps' else None)
 
-        pretrained_net = fix_model_layers(crt_model, pretrained_net)
-        crt_model.load_state_dict(pretrained_net)
-        crt_model.eval()
+        if "params_ema" in state_dict:
+            state_dict = state_dict["params_ema"]
+        elif "params" in state_dict:
+            state_dict = state_dict["params"]
+            num_conv = 16 if "realesr-animevideov3" in filename else 32
+            model = arch.SRVGGNetCompact(num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=num_conv, upscale=4, act_type='prelu')
+            model.load_state_dict(state_dict)
+            model.eval()
+            return model
 
-        return crt_model
+        if "body.0.rdb1.conv1.weight" in state_dict and "conv_first.weight" in state_dict:
+            nb = 6 if "RealESRGAN_x4plus_anime_6B" in filename else 23
+            state_dict = resrgan2normal(state_dict, nb)
+        elif "conv_first.weight" in state_dict:
+            state_dict = mod2normal(state_dict)
+        elif "model.0.weight" not in state_dict:
+            raise Exception("The file is not a recognized ESRGAN model.")
+
+        in_nc, out_nc, nf, nb, plus, mscale = infer_params(state_dict)
+
+        model = arch.RRDBNet(in_nc=in_nc, out_nc=out_nc, nf=nf, nb=nb, upscale=mscale, plus=plus)
+        model.load_state_dict(state_dict)
+        model.eval()
+
+        return model
 
 
 def upscale_without_tiling(model, img):
     img = np.array(img)
     img = img[:, :, ::-1]
-    img = np.moveaxis(img, 2, 0) / 255
+    img = np.ascontiguousarray(np.transpose(img, (2, 0, 1))) / 255
     img = torch.from_numpy(img).float()
     img = img.unsqueeze(0).to(devices.device_esrgan)
     with torch.no_grad():
diff --git a/modules/esrgan_model_arch.py b/modules/esrgan_model_arch.py
new file mode 100644
index 00000000..bc9ceb2a
--- /dev/null
+++ b/modules/esrgan_model_arch.py
@@ -0,0 +1,463 @@
+# this file is adapted from https://github.com/victorca25/iNNfer
+
+import math
+import functools
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+
+####################
+# RRDBNet Generator
+####################
+
+class RRDBNet(nn.Module):
+    def __init__(self, in_nc, out_nc, nf, nb, nr=3, gc=32, upscale=4, norm_type=None,
+            act_type='leakyrelu', mode='CNA', upsample_mode='upconv', convtype='Conv2D',
+            finalact=None, gaussian_noise=False, plus=False):
+        super(RRDBNet, self).__init__()
+        n_upscale = int(math.log(upscale, 2))
+        if upscale == 3:
+            n_upscale = 1
+
+        self.resrgan_scale = 0
+        if in_nc % 16 == 0:
+            self.resrgan_scale = 1
+        elif in_nc != 4 and in_nc % 4 == 0:
+            self.resrgan_scale = 2
+
+        fea_conv = conv_block(in_nc, nf, kernel_size=3, norm_type=None, act_type=None, convtype=convtype)
+        rb_blocks = [RRDB(nf, nr, kernel_size=3, gc=32, stride=1, bias=1, pad_type='zero',
+            norm_type=norm_type, act_type=act_type, mode='CNA', convtype=convtype,
+            gaussian_noise=gaussian_noise, plus=plus) for _ in range(nb)]
+        LR_conv = conv_block(nf, nf, kernel_size=3, norm_type=norm_type, act_type=None, mode=mode, convtype=convtype)
+
+        if upsample_mode == 'upconv':
+            upsample_block = upconv_block
+        elif upsample_mode == 'pixelshuffle':
+            upsample_block = pixelshuffle_block
+        else:
+            raise NotImplementedError('upsample mode [{:s}] is not found'.format(upsample_mode))
+        if upscale == 3:
+            upsampler = upsample_block(nf, nf, 3, act_type=act_type, convtype=convtype)
+        else:
+            upsampler = [upsample_block(nf, nf, act_type=act_type, convtype=convtype) for _ in range(n_upscale)]
+        HR_conv0 = conv_block(nf, nf, kernel_size=3, norm_type=None, act_type=act_type, convtype=convtype)
+        HR_conv1 = conv_block(nf, out_nc, kernel_size=3, norm_type=None, act_type=None, convtype=convtype)
+
+        outact = act(finalact) if finalact else None
+
+        self.model = sequential(fea_conv, ShortcutBlock(sequential(*rb_blocks, LR_conv)),
+            *upsampler, HR_conv0, HR_conv1, outact)
+
+    def forward(self, x, outm=None):
+        if self.resrgan_scale == 1:
+            feat = pixel_unshuffle(x, scale=4)
+        elif self.resrgan_scale == 2:
+            feat = pixel_unshuffle(x, scale=2)
+        else:
+            feat = x
+
+        return self.model(feat)
+
+
+class RRDB(nn.Module):
+    """
+    Residual in Residual Dense Block
+    (ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks)
+    """
+
+    def __init__(self, nf, nr=3, kernel_size=3, gc=32, stride=1, bias=1, pad_type='zero',
+            norm_type=None, act_type='leakyrelu', mode='CNA', convtype='Conv2D',
+            spectral_norm=False, gaussian_noise=False, plus=False):
+        super(RRDB, self).__init__()
+        # This is for backwards compatibility with existing models
+        if nr == 3:
+            self.RDB1 = ResidualDenseBlock_5C(nf, kernel_size, gc, stride, bias, pad_type,
+                    norm_type, act_type, mode, convtype, spectral_norm=spectral_norm,
+                    gaussian_noise=gaussian_noise, plus=plus)
+            self.RDB2 = ResidualDenseBlock_5C(nf, kernel_size, gc, stride, bias, pad_type,
+                    norm_type, act_type, mode, convtype, spectral_norm=spectral_norm,
+                    gaussian_noise=gaussian_noise, plus=plus)
+            self.RDB3 = ResidualDenseBlock_5C(nf, kernel_size, gc, stride, bias, pad_type,
+                    norm_type, act_type, mode, convtype, spectral_norm=spectral_norm,
+                    gaussian_noise=gaussian_noise, plus=plus)
+        else:
+            RDB_list = [ResidualDenseBlock_5C(nf, kernel_size, gc, stride, bias, pad_type,
+                                              norm_type, act_type, mode, convtype, spectral_norm=spectral_norm,
+                                              gaussian_noise=gaussian_noise, plus=plus) for _ in range(nr)]
+            self.RDBs = nn.Sequential(*RDB_list)
+
+    def forward(self, x):
+        if hasattr(self, 'RDB1'):
+            out = self.RDB1(x)
+            out = self.RDB2(out)
+            out = self.RDB3(out)
+        else:
+            out = self.RDBs(x)
+        return out * 0.2 + x
+
+
+class ResidualDenseBlock_5C(nn.Module):
+    """
+    Residual Dense Block
+    The core module of paper: (Residual Dense Network for Image Super-Resolution, CVPR 18)
+    Modified options that can be used:
+        - "Partial Convolution based Padding" arXiv:1811.11718
+        - "Spectral normalization" arXiv:1802.05957
+        - "ICASSP 2020 - ESRGAN+ : Further Improving ESRGAN" N. C. 
+            {Rakotonirina} and A. {Rasoanaivo}
+    """
+
+    def __init__(self, nf=64, kernel_size=3, gc=32, stride=1, bias=1, pad_type='zero',
+            norm_type=None, act_type='leakyrelu', mode='CNA', convtype='Conv2D',
+            spectral_norm=False, gaussian_noise=False, plus=False):
+        super(ResidualDenseBlock_5C, self).__init__()
+
+        self.noise = GaussianNoise() if gaussian_noise else None
+        self.conv1x1 = conv1x1(nf, gc) if plus else None
+
+        self.conv1 = conv_block(nf, gc, kernel_size, stride, bias=bias, pad_type=pad_type,
+            norm_type=norm_type, act_type=act_type, mode=mode, convtype=convtype,
+            spectral_norm=spectral_norm)
+        self.conv2 = conv_block(nf+gc, gc, kernel_size, stride, bias=bias, pad_type=pad_type,
+            norm_type=norm_type, act_type=act_type, mode=mode, convtype=convtype,
+            spectral_norm=spectral_norm)
+        self.conv3 = conv_block(nf+2*gc, gc, kernel_size, stride, bias=bias, pad_type=pad_type,
+            norm_type=norm_type, act_type=act_type, mode=mode, convtype=convtype,
+            spectral_norm=spectral_norm)
+        self.conv4 = conv_block(nf+3*gc, gc, kernel_size, stride, bias=bias, pad_type=pad_type,
+            norm_type=norm_type, act_type=act_type, mode=mode, convtype=convtype,
+            spectral_norm=spectral_norm)
+        if mode == 'CNA':
+            last_act = None
+        else:
+            last_act = act_type
+        self.conv5 = conv_block(nf+4*gc, nf, 3, stride, bias=bias, pad_type=pad_type,
+            norm_type=norm_type, act_type=last_act, mode=mode, convtype=convtype,
+            spectral_norm=spectral_norm)
+
+    def forward(self, x):
+        x1 = self.conv1(x)
+        x2 = self.conv2(torch.cat((x, x1), 1))
+        if self.conv1x1:
+            x2 = x2 + self.conv1x1(x)
+        x3 = self.conv3(torch.cat((x, x1, x2), 1))
+        x4 = self.conv4(torch.cat((x, x1, x2, x3), 1))
+        if self.conv1x1:
+            x4 = x4 + x2
+        x5 = self.conv5(torch.cat((x, x1, x2, x3, x4), 1))
+        if self.noise:
+            return self.noise(x5.mul(0.2) + x)
+        else:
+            return x5 * 0.2 + x
+
+
+####################
+# ESRGANplus
+####################
+
+class GaussianNoise(nn.Module):
+    def __init__(self, sigma=0.1, is_relative_detach=False):
+        super().__init__()
+        self.sigma = sigma
+        self.is_relative_detach = is_relative_detach
+        self.noise = torch.tensor(0, dtype=torch.float)
+
+    def forward(self, x):
+        if self.training and self.sigma != 0:
+            self.noise = self.noise.to(x.device)
+            scale = self.sigma * x.detach() if self.is_relative_detach else self.sigma * x
+            sampled_noise = self.noise.repeat(*x.size()).normal_() * scale
+            x = x + sampled_noise
+        return x 
+
+def conv1x1(in_planes, out_planes, stride=1):
+    return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False)
+
+
+####################
+# SRVGGNetCompact
+####################
+
+class SRVGGNetCompact(nn.Module):
+    """A compact VGG-style network structure for super-resolution.
+    This class is copied from https://github.com/xinntao/Real-ESRGAN
+    """
+
+    def __init__(self, num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu'):
+        super(SRVGGNetCompact, self).__init__()
+        self.num_in_ch = num_in_ch
+        self.num_out_ch = num_out_ch
+        self.num_feat = num_feat
+        self.num_conv = num_conv
+        self.upscale = upscale
+        self.act_type = act_type
+
+        self.body = nn.ModuleList()
+        # the first conv
+        self.body.append(nn.Conv2d(num_in_ch, num_feat, 3, 1, 1))
+        # the first activation
+        if act_type == 'relu':
+            activation = nn.ReLU(inplace=True)
+        elif act_type == 'prelu':
+            activation = nn.PReLU(num_parameters=num_feat)
+        elif act_type == 'leakyrelu':
+            activation = nn.LeakyReLU(negative_slope=0.1, inplace=True)
+        self.body.append(activation)
+
+        # the body structure
+        for _ in range(num_conv):
+            self.body.append(nn.Conv2d(num_feat, num_feat, 3, 1, 1))
+            # activation
+            if act_type == 'relu':
+                activation = nn.ReLU(inplace=True)
+            elif act_type == 'prelu':
+                activation = nn.PReLU(num_parameters=num_feat)
+            elif act_type == 'leakyrelu':
+                activation = nn.LeakyReLU(negative_slope=0.1, inplace=True)
+            self.body.append(activation)
+
+        # the last conv
+        self.body.append(nn.Conv2d(num_feat, num_out_ch * upscale * upscale, 3, 1, 1))
+        # upsample
+        self.upsampler = nn.PixelShuffle(upscale)
+
+    def forward(self, x):
+        out = x
+        for i in range(0, len(self.body)):
+            out = self.body[i](out)
+
+        out = self.upsampler(out)
+        # add the nearest upsampled image, so that the network learns the residual
+        base = F.interpolate(x, scale_factor=self.upscale, mode='nearest')
+        out += base
+        return out
+
+
+####################
+# Upsampler
+####################
+
+class Upsample(nn.Module):
+    r"""Upsamples a given multi-channel 1D (temporal), 2D (spatial) or 3D (volumetric) data.
+    The input data is assumed to be of the form
+    `minibatch x channels x [optional depth] x [optional height] x width`.
+    """
+
+    def __init__(self, size=None, scale_factor=None, mode="nearest", align_corners=None):
+        super(Upsample, self).__init__()
+        if isinstance(scale_factor, tuple):
+            self.scale_factor = tuple(float(factor) for factor in scale_factor)
+        else:
+            self.scale_factor = float(scale_factor) if scale_factor else None
+        self.mode = mode
+        self.size = size
+        self.align_corners = align_corners
+
+    def forward(self, x):
+        return nn.functional.interpolate(x, size=self.size, scale_factor=self.scale_factor, mode=self.mode, align_corners=self.align_corners)
+
+    def extra_repr(self):
+        if self.scale_factor is not None:
+            info = 'scale_factor=' + str(self.scale_factor)
+        else:
+            info = 'size=' + str(self.size)
+        info += ', mode=' + self.mode
+        return info
+
+
+def pixel_unshuffle(x, scale):
+    """ Pixel unshuffle.
+    Args:
+        x (Tensor): Input feature with shape (b, c, hh, hw).
+        scale (int): Downsample ratio.
+    Returns:
+        Tensor: the pixel unshuffled feature.
+    """
+    b, c, hh, hw = x.size()
+    out_channel = c * (scale**2)
+    assert hh % scale == 0 and hw % scale == 0
+    h = hh // scale
+    w = hw // scale
+    x_view = x.view(b, c, h, scale, w, scale)
+    return x_view.permute(0, 1, 3, 5, 2, 4).reshape(b, out_channel, h, w)
+
+
+def pixelshuffle_block(in_nc, out_nc, upscale_factor=2, kernel_size=3, stride=1, bias=True,
+                        pad_type='zero', norm_type=None, act_type='relu', convtype='Conv2D'):
+    """
+    Pixel shuffle layer
+    (Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional
+    Neural Network, CVPR17)
+    """
+    conv = conv_block(in_nc, out_nc * (upscale_factor ** 2), kernel_size, stride, bias=bias,
+                        pad_type=pad_type, norm_type=None, act_type=None, convtype=convtype)
+    pixel_shuffle = nn.PixelShuffle(upscale_factor)
+
+    n = norm(norm_type, out_nc) if norm_type else None
+    a = act(act_type) if act_type else None
+    return sequential(conv, pixel_shuffle, n, a)
+
+
+def upconv_block(in_nc, out_nc, upscale_factor=2, kernel_size=3, stride=1, bias=True,
+                pad_type='zero', norm_type=None, act_type='relu', mode='nearest', convtype='Conv2D'):
+    """ Upconv layer """
+    upscale_factor = (1, upscale_factor, upscale_factor) if convtype == 'Conv3D' else upscale_factor
+    upsample = Upsample(scale_factor=upscale_factor, mode=mode)
+    conv = conv_block(in_nc, out_nc, kernel_size, stride, bias=bias,
+                        pad_type=pad_type, norm_type=norm_type, act_type=act_type, convtype=convtype)
+    return sequential(upsample, conv)
+
+
+
+
+
+
+
+
+####################
+# Basic blocks
+####################
+
+
+def make_layer(basic_block, num_basic_block, **kwarg):
+    """Make layers by stacking the same blocks.
+    Args:
+        basic_block (nn.module): nn.module class for basic block. (block)
+        num_basic_block (int): number of blocks. (n_layers)
+    Returns:
+        nn.Sequential: Stacked blocks in nn.Sequential.
+    """
+    layers = []
+    for _ in range(num_basic_block):
+        layers.append(basic_block(**kwarg))
+    return nn.Sequential(*layers)
+
+
+def act(act_type, inplace=True, neg_slope=0.2, n_prelu=1, beta=1.0):
+    """ activation helper """
+    act_type = act_type.lower()
+    if act_type == 'relu':
+        layer = nn.ReLU(inplace)
+    elif act_type in ('leakyrelu', 'lrelu'):
+        layer = nn.LeakyReLU(neg_slope, inplace)
+    elif act_type == 'prelu':
+        layer = nn.PReLU(num_parameters=n_prelu, init=neg_slope)
+    elif act_type == 'tanh':  # [-1, 1] range output
+        layer = nn.Tanh()
+    elif act_type == 'sigmoid':  # [0, 1] range output
+        layer = nn.Sigmoid()
+    else:
+        raise NotImplementedError('activation layer [{:s}] is not found'.format(act_type))
+    return layer
+
+
+class Identity(nn.Module):
+    def __init__(self, *kwargs):
+        super(Identity, self).__init__()
+
+    def forward(self, x, *kwargs):
+        return x
+
+
+def norm(norm_type, nc):
+    """ Return a normalization layer """
+    norm_type = norm_type.lower()
+    if norm_type == 'batch':
+        layer = nn.BatchNorm2d(nc, affine=True)
+    elif norm_type == 'instance':
+        layer = nn.InstanceNorm2d(nc, affine=False)
+    elif norm_type == 'none':
+        def norm_layer(x): return Identity()
+    else:
+        raise NotImplementedError('normalization layer [{:s}] is not found'.format(norm_type))
+    return layer
+
+
+def pad(pad_type, padding):
+    """ padding layer helper """
+    pad_type = pad_type.lower()
+    if padding == 0:
+        return None
+    if pad_type == 'reflect':
+        layer = nn.ReflectionPad2d(padding)
+    elif pad_type == 'replicate':
+        layer = nn.ReplicationPad2d(padding)
+    elif pad_type == 'zero':
+        layer = nn.ZeroPad2d(padding)
+    else:
+        raise NotImplementedError('padding layer [{:s}] is not implemented'.format(pad_type))
+    return layer
+
+
+def get_valid_padding(kernel_size, dilation):
+    kernel_size = kernel_size + (kernel_size - 1) * (dilation - 1)
+    padding = (kernel_size - 1) // 2
+    return padding
+
+
+class ShortcutBlock(nn.Module):
+    """ Elementwise sum the output of a submodule to its input """
+    def __init__(self, submodule):
+        super(ShortcutBlock, self).__init__()
+        self.sub = submodule
+
+    def forward(self, x):
+        output = x + self.sub(x)
+        return output
+
+    def __repr__(self):
+        return 'Identity + \n|' + self.sub.__repr__().replace('\n', '\n|')
+
+
+def sequential(*args):
+    """ Flatten Sequential. It unwraps nn.Sequential. """
+    if len(args) == 1:
+        if isinstance(args[0], OrderedDict):
+            raise NotImplementedError('sequential does not support OrderedDict input.')
+        return args[0]  # No sequential is needed.
+    modules = []
+    for module in args:
+        if isinstance(module, nn.Sequential):
+            for submodule in module.children():
+                modules.append(submodule)
+        elif isinstance(module, nn.Module):
+            modules.append(module)
+    return nn.Sequential(*modules)
+
+
+def conv_block(in_nc, out_nc, kernel_size, stride=1, dilation=1, groups=1, bias=True,
+               pad_type='zero', norm_type=None, act_type='relu', mode='CNA', convtype='Conv2D',
+               spectral_norm=False):
+    """ Conv layer with padding, normalization, activation """
+    assert mode in ['CNA', 'NAC', 'CNAC'], 'Wrong conv mode [{:s}]'.format(mode)
+    padding = get_valid_padding(kernel_size, dilation)
+    p = pad(pad_type, padding) if pad_type and pad_type != 'zero' else None
+    padding = padding if pad_type == 'zero' else 0
+
+    if convtype=='PartialConv2D':
+        c = PartialConv2d(in_nc, out_nc, kernel_size=kernel_size, stride=stride, padding=padding,
+               dilation=dilation, bias=bias, groups=groups)
+    elif convtype=='DeformConv2D':
+        c = DeformConv2d(in_nc, out_nc, kernel_size=kernel_size, stride=stride, padding=padding,
+               dilation=dilation, bias=bias, groups=groups)
+    elif convtype=='Conv3D':
+        c = nn.Conv3d(in_nc, out_nc, kernel_size=kernel_size, stride=stride, padding=padding,
+                dilation=dilation, bias=bias, groups=groups)
+    else:
+        c = nn.Conv2d(in_nc, out_nc, kernel_size=kernel_size, stride=stride, padding=padding,
+                dilation=dilation, bias=bias, groups=groups)
+
+    if spectral_norm:
+        c = nn.utils.spectral_norm(c)
+
+    a = act(act_type) if act_type else None
+    if 'CNA' in mode:
+        n = norm(norm_type, out_nc) if norm_type else None
+        return sequential(p, c, n, a)
+    elif mode == 'NAC':
+        if norm_type is None and act_type is not None:
+            a = act(act_type, inplace=False)
+        n = norm(norm_type, in_nc) if norm_type else None
+        return sequential(n, a, p, c)

From 6e4f5566b58e36aede83427df6c69eba8517af28 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 15 Oct 2022 23:53:49 +0800
Subject: [PATCH 002/321] sorting files

---
 javascript/images_history.js | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/javascript/images_history.js b/javascript/images_history.js
index f7d052c3..7f0d8f42 100644
--- a/javascript/images_history.js
+++ b/javascript/images_history.js
@@ -96,7 +96,7 @@ function images_history_get_current_img(tabname, image_path, files){
     ];
 }
 
-function images_history_delete(del_num, tabname, img_path, img_file_name, page_index, filenames, image_index){
+function images_history_delete(del_num, tabname, img_file_name, page_index, filenames, image_index){
     image_index = parseInt(image_index);
     var tab = gradioApp().getElementById(tabname + '_images_history');
     var set_btn = tab.querySelector(".images_history_set_index");
@@ -132,12 +132,12 @@ function images_history_delete(del_num, tabname, img_path, img_file_name, page_i
     return [del_num, tabname, img_path, img_file_name, page_index, filenames, image_index];
 }
 
-function images_history_turnpage(img_path, page_index, image_index, tabname){
+function images_history_turnpage(img_path, page_index, image_index, tabname, date_from, date_to){
     var buttons = gradioApp().getElementById(tabname + '_images_history').querySelectorAll(".gallery-item");
     buttons.forEach(function(elem) {
         elem.style.display = 'block';
     })
-    return [img_path, page_index, image_index, tabname];
+    return [img_path, page_index, image_index, tabname, date_from, date_to];
 }
 
 function images_history_enable_del_buttons(){

From 763b893f319cee280b86e63025eb55e7c16b02e7 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sun, 16 Oct 2022 10:03:09 +0800
Subject: [PATCH 003/321] images history sorting files by date

---
 javascript/images_history.js |  12 +-
 modules/images_history.py    | 261 ++++++++++++++++++++++++++---------
 2 files changed, 202 insertions(+), 71 deletions(-)

diff --git a/javascript/images_history.js b/javascript/images_history.js
index 7f0d8f42..ac5834c7 100644
--- a/javascript/images_history.js
+++ b/javascript/images_history.js
@@ -88,10 +88,10 @@ function images_history_set_image_info(button){
     
 }
 
-function images_history_get_current_img(tabname, image_path, files){
+function images_history_get_current_img(tabname, img_index, files){
     return [
-        gradioApp().getElementById(tabname + '_images_history_set_index').getAttribute("img_index"), 
-        image_path, 
+        tabname, 
+        gradioApp().getElementById(tabname + '_images_history_set_index').getAttribute("img_index"),         
         files
     ];
 }
@@ -129,7 +129,7 @@ function images_history_delete(del_num, tabname, img_file_name, page_index, file
         setTimeout(function(btn){btn.click()}, 30, btn);
     }
     images_history_disabled_del();  
-    return [del_num, tabname, img_path, img_file_name, page_index, filenames, image_index];
+    return [del_num, tabname, img_file_name, page_index, filenames, image_index];
 }
 
 function images_history_turnpage(img_path, page_index, image_index, tabname, date_from, date_to){
@@ -170,8 +170,8 @@ function images_history_init(){
         }    
         tabs_box.classList.add(images_history_tab_list[0]);
 
-        // same as above, at page load
-        //load_txt2img_button.click();
+        // same as above, at page load-- load very fast now
+        load_txt2img_button.click();
     } else {
         setTimeout(images_history_init, 500);
     } 
diff --git a/modules/images_history.py b/modules/images_history.py
index f5ef44fe..533cf51b 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -1,33 +1,74 @@
 import os
 import shutil
+import time
+import hashlib
+import gradio
+show_max_dates_num = 3
+system_bak_path = "webui_log_and_bak"
+def is_valid_date(date):
+    try:
+        time.strptime(date, "%Y%m%d")
+        return True
+    except:
+        return False
 
+def reduplicative_file_move(src, dst):
+    def same_name_file(basename, path):
+        name, ext = os.path.splitext(basename)
+        f_list = os.listdir(path)
+        max_num = 0
+        for f in f_list:
+            if len(f) <= len(basename):
+                continue
+            f_ext = f[-len(ext):] if len(ext) > 0 else ""
+            if f[:len(name)] == name and f_ext == ext:                
+                if f[len(name)] == "(" and f[-len(ext)-1] == ")":
+                    number = f[len(name)+1:-len(ext)-1]
+                    if number.isdigit():
+                        if int(number) > max_num:
+                            max_num = int(number)
+        return f"{name}({max_num + 1}){ext}"
+    name = os.path.basename(src)
+    save_name = os.path.join(dst, name)
+    if not os.path.exists(save_name):
+        shutil.move(src, dst)
+    else:
+        name = same_name_file(name, dst)
+        shutil.move(src, os.path.join(dst, name))
 
-def traverse_all_files(output_dir, image_list, curr_dir=None):
-    curr_path = output_dir if curr_dir is None else os.path.join(output_dir, curr_dir)
+def traverse_all_files(curr_path, image_list, all_type=False):
     try:
         f_list = os.listdir(curr_path)
     except:
-        if curr_dir[-10:].rfind(".") > 0 and curr_dir[-4:] != ".txt":
-            image_list.append(curr_dir)
+        if all_type or curr_path[-10:].rfind(".") > 0 and curr_path[-4:] != ".txt":
+            image_list.append(curr_path)
         return image_list
     for file in f_list:
-        file = file if curr_dir is None else os.path.join(curr_dir, file)
-        file_path = os.path.join(curr_path, file)
-        if file[-4:] == ".txt":
+        file = os.path.join(curr_path, file)
+        if (not all_type) and file[-4:] == ".txt":
             pass
-        elif os.path.isfile(file_path) and file[-10:].rfind(".") > 0:
+        elif os.path.isfile(file) and file[-10:].rfind(".") > 0:
             image_list.append(file)
         else:
-            image_list = traverse_all_files(output_dir, image_list, file)
+            image_list = traverse_all_files(file, image_list)
     return image_list
 
-
-def get_recent_images(dir_name, page_index, step, image_index, tabname):
-    page_index = int(page_index)
-    f_list = os.listdir(dir_name)
+def get_recent_images(dir_name, page_index, step, image_index, tabname, date_from, date_to):
+    #print(f"turn_page {page_index}",date_from)
+    if date_from is None or date_from == "":
+        return None, 1, None, ""
     image_list = []
-    image_list = traverse_all_files(dir_name, image_list)
-    image_list = sorted(image_list, key=lambda file: -os.path.getctime(os.path.join(dir_name, file)))
+    date_list = auto_sorting(dir_name)
+    page_index = int(page_index)
+    today = time.strftime("%Y%m%d",time.localtime(time.time()))
+    for date in date_list:
+        if date >= date_from and date <= date_to:
+            path = os.path.join(dir_name, date)
+            if date == today and not os.path.exists(path):
+                continue
+            image_list = traverse_all_files(path, image_list)
+
+    image_list = sorted(image_list, key=lambda file: -os.path.getctime(file))
     num = 48 if tabname != "extras" else 12
     max_page_index = len(image_list) // num + 1
     page_index = max_page_index if page_index == -1 else page_index + step
@@ -38,40 +79,101 @@ def get_recent_images(dir_name, page_index, step, image_index, tabname):
     image_index = int(image_index)
     if image_index < 0 or image_index > len(image_list) - 1:
         current_file = None
-        hidden = None
     else:
-        current_file = image_list[int(image_index)]
-        hidden = os.path.join(dir_name, current_file)
-    return [os.path.join(dir_name, file) for file in image_list], page_index, image_list, current_file, hidden, ""
+        current_file = image_list[image_index]
+    return image_list, page_index, image_list,  ""
+
+def auto_sorting(dir_name):
+    #print(f"auto sorting")
+    bak_path = os.path.join(dir_name, system_bak_path)
+    if not os.path.exists(bak_path):
+        os.mkdir(bak_path)
+    log_file = None 
+    files_list = []    
+    f_list = os.listdir(dir_name)
+    for file in f_list:   
+        if file == system_bak_path:
+            continue     
+        file_path = os.path.join(dir_name, file)
+        if not is_valid_date(file):
+            if file[-10:].rfind(".") > 0:
+                files_list.append(file_path)
+            else:
+                files_list = traverse_all_files(file_path, files_list, all_type=True)
+
+    for file in files_list:        
+        date_str = time.strftime("%Y%m%d",time.localtime(os.path.getctime(file)))
+        file_path = os.path.dirname(file)
+        hash_path = hashlib.md5(file_path.encode()).hexdigest()
+        path = os.path.join(dir_name, date_str, hash_path)
+        if not os.path.exists(path):
+            os.makedirs(path)
+        if log_file is None:
+            log_file = open(os.path.join(bak_path,"path_mapping.csv"),"a") 
+        log_file.write(f"{hash_path},{file_path}\n")
+        reduplicative_file_move(file, path)
+       
+    date_list = []
+    f_list = os.listdir(dir_name)
+    for f in f_list:
+        if is_valid_date(f):
+            date_list.append(f)
+        elif f == system_bak_path:
+            continue
+        else:
+            reduplicative_file_move(os.path.join(dir_name, f), bak_path)           
+            
+    today = time.strftime("%Y%m%d",time.localtime(time.time()))
+    if today not in date_list:
+        date_list.append(today)
+    return sorted(date_list)
 
 
-def first_page_click(dir_name, page_index, image_index, tabname):
-    return get_recent_images(dir_name, 1, 0, image_index, tabname)
+
+def archive_images(dir_name):
+    date_list = auto_sorting(dir_name)
+    date_from = date_list[-show_max_dates_num] if len(date_list) > show_max_dates_num else date_list[0]
+    return (
+        gradio.update(visible=False), 
+        gradio.update(visible=True), 
+        gradio.Dropdown.update(choices=date_list, value=date_list[-1]),
+        gradio.Dropdown.update(choices=date_list, value=date_from)
+    )
+
+def date_to_change(dir_name, page_index, image_index, tabname, date_from, date_to):
+    #print("date_to", date_to)
+    date_list = auto_sorting(dir_name)
+    date_from_list = [date for date in date_list if date <= date_to]
+    date_from = date_from_list[0] if len(date_from_list) < show_max_dates_num else date_from_list[-show_max_dates_num]
+    image_list, page_index, image_list, _  =get_recent_images(dir_name, 1, 0, image_index, tabname, date_from, date_to)
+    return image_list, page_index, image_list, _, gradio.Dropdown.update(choices=date_from_list, value=date_from)
+
+def first_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
+    return get_recent_images(dir_name, 1, 0, image_index, tabname, date_from, date_to)
 
 
-def end_page_click(dir_name, page_index, image_index, tabname):
-    return get_recent_images(dir_name, -1, 0, image_index, tabname)
+def end_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
+    return get_recent_images(dir_name, -1, 0, image_index, tabname, date_from, date_to)
 
 
-def prev_page_click(dir_name, page_index, image_index, tabname):
-    return get_recent_images(dir_name, page_index, -1, image_index, tabname)
+def prev_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
+    return get_recent_images(dir_name, page_index, -1, image_index, tabname, date_from, date_to)
 
 
-def next_page_click(dir_name, page_index, image_index, tabname):
-    return get_recent_images(dir_name, page_index, 1, image_index, tabname)
+def next_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
+    return get_recent_images(dir_name, page_index, 1, image_index, tabname, date_from, date_to)
 
 
-def page_index_change(dir_name, page_index, image_index, tabname):
-    return get_recent_images(dir_name, page_index, 0, image_index, tabname)
+def page_index_change(dir_name, page_index, image_index, tabname, date_from, date_to):
+    return get_recent_images(dir_name, page_index, 0, image_index, tabname, date_from, date_to)
 
 
-def show_image_info(num, image_path, filenames):
-    # print(f"select image {num}")
+def show_image_info(tabname_box, num, filenames):
+    # #print(f"select image {num}")
     file = filenames[int(num)]
-    return file, num, os.path.join(image_path, file)
+    return file, num, file
 
-
-def delete_image(delete_num, tabname, dir_name, name, page_index, filenames, image_index):
+def delete_image(delete_num, tabname, name, page_index, filenames, image_index):
     if name == "":
         return filenames, delete_num
     else:
@@ -81,21 +183,19 @@ def delete_image(delete_num, tabname, dir_name, name, page_index, filenames, ima
         new_file_list = []
         for name in filenames:
             if i >= index and i < index + delete_num:
-                path = os.path.join(dir_name, name)
-                if os.path.exists(path):
-                    print(f"Delete file {path}")
-                    os.remove(path)
-                    txt_file = os.path.splitext(path)[0] + ".txt"
+                if os.path.exists(name):
+                    #print(f"Delete file {name}")
+                    os.remove(name)
+                    txt_file = os.path.splitext(name)[0] + ".txt"
                     if os.path.exists(txt_file):
                         os.remove(txt_file)
                 else:
-                    print(f"Not exists file {path}")
+                    #print(f"Not exists file {name}")
             else:
                 new_file_list.append(name)
             i += 1
     return new_file_list, 1
 
-
 def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
     if tabname == "txt2img":
         dir_name = opts.outdir_txt2img_samples
@@ -107,16 +207,32 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
     dir_name = d[0]
     for p in d[1:]:
         dir_name = os.path.join(dir_name, p)
-    with gr.Row():
-        renew_page = gr.Button('Renew Page', elem_id=tabname + "_images_history_renew_page")
-        first_page = gr.Button('First Page')
-        prev_page = gr.Button('Prev Page')
-        page_index = gr.Number(value=1, label="Page Index")
-        next_page = gr.Button('Next Page')
-        end_page = gr.Button('End Page')
-    with gr.Row(elem_id=tabname + "_images_history"):
+
+    f_list = os.listdir(dir_name)
+    sorted_flag = os.path.exists(os.path.join(dir_name, system_bak_path)) or len(f_list) == 0 
+    date_list, date_from, date_to = None, None, None
+    if sorted_flag:
+        #print(sorted_flag)
+        date_list = auto_sorting(dir_name)
+        date_to = date_list[-1]
+        date_from = date_list[-show_max_dates_num] if len(date_list) > show_max_dates_num else date_list[0] 
+
+    with gr.Column(visible=sorted_flag) as page_panel:
         with gr.Row():
+            renew_page = gr.Button('Refresh', elem_id=tabname + "_images_history_renew_page", interactive=sorted_flag)
+            first_page = gr.Button('First Page')
+            prev_page = gr.Button('Prev Page')
+            page_index = gr.Number(value=1, label="Page Index")
+            next_page = gr.Button('Next Page')
+            end_page = gr.Button('End Page')
+
+        with gr.Row(elem_id=tabname + "_images_history"):
             with gr.Column(scale=2):
+                with gr.Row():
+                    newest = gr.Button('Newest')
+                    date_to = gr.Dropdown(choices=date_list, value=date_to, label="Date to")
+                    date_from = gr.Dropdown(choices=date_list, value=date_from, label="Date from")                    
+
                 history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=6)
                 with gr.Row():
                     delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next")
@@ -128,22 +244,31 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
                 with gr.Row():
                     with gr.Column():
                         img_file_info = gr.Textbox(label="Generate Info", interactive=False)
-                        img_file_name = gr.Textbox(label="File Name", interactive=False)
-                with gr.Row():
+                        img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
                     # hiden items
+                    with gr.Row(visible=False):
+                        img_path = gr.Textbox(dir_name)
+                        tabname_box = gr.Textbox(tabname)
+                        image_index = gr.Textbox(value=-1)
+                        set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
+                        filenames = gr.State()
+                        hidden = gr.Image(type="pil")
+                        info1 = gr.Textbox()
+                        info2 = gr.Textbox()
+    with gr.Column(visible=not sorted_flag) as init_warning:
+        with gr.Row():
+            gr.Textbox("The system needs to archive the files according to the date. This requires changing the directory structure of the files",
+             label="Waring",
+             css="")
+        with gr.Row():
+            sorted_button = gr.Button('Confirme')
 
-                    img_path = gr.Textbox(dir_name.rstrip("/"), visible=False)
-                    tabname_box = gr.Textbox(tabname, visible=False)
-                    image_index = gr.Textbox(value=-1, visible=False)
-                    set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index", visible=False)
-                    filenames = gr.State()
-                    hidden = gr.Image(type="pil", visible=False)
-                    info1 = gr.Textbox(visible=False)
-                    info2 = gr.Textbox(visible=False)
-
+                  
+           
+   
     # turn pages
-    gallery_inputs = [img_path, page_index, image_index, tabname_box]
-    gallery_outputs = [history_gallery, page_index, filenames, img_file_name, hidden, img_file_name]
+    gallery_inputs = [img_path, page_index, image_index, tabname_box, date_from, date_to]
+    gallery_outputs = [history_gallery, page_index, filenames, img_file_name]
 
     first_page.click(first_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
     next_page.click(next_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
@@ -154,15 +279,21 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
     # page_index.change(page_index_change, inputs=[tabname_box, img_path,  page_index], outputs=[history_gallery, page_index])
 
     # other funcitons
-    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, img_path, filenames], outputs=[img_file_name, image_index, hidden])
+    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, filenames], outputs=[img_file_name, image_index, hidden])
     img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None)
-    delete.click(delete_image, _js="images_history_delete", inputs=[delete_num, tabname_box, img_path, img_file_name, page_index, filenames, image_index], outputs=[filenames, delete_num])
+    delete.click(delete_image, _js="images_history_delete", inputs=[delete_num, tabname_box, img_file_name, page_index, filenames, image_index], outputs=[filenames, delete_num])
     hidden.change(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2])
-
+    date_to.change(date_to_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs + [date_from])
     # pnginfo.click(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2])
     switch_dict["fn"](pnginfo_send_to_txt2img, switch_dict["t2i"], img_file_info, 'switch_to_txt2img')
     switch_dict["fn"](pnginfo_send_to_img2img, switch_dict["i2i"], img_file_info, 'switch_to_img2img_img2img')
 
+    sorted_button.click(archive_images, inputs=[img_path], outputs=[init_warning, page_panel, date_to, date_from])
+    newest.click(archive_images, inputs=[img_path], outputs=[init_warning, page_panel, date_to, date_from])
+   
+    
+    
+
 
 def create_history_tabs(gr, opts, run_pnginfo, switch_dict):
     with gr.Blocks(analytics_enabled=False) as images_history:

From f62905fdf928b54aa76765e5cbde8d538d494e49 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sun, 16 Oct 2022 21:22:38 +0800
Subject: [PATCH 004/321] images history speed up

---
 javascript/images_history.js |  39 +++---
 modules/images_history.py    | 248 ++++++++++++++++++-----------------
 2 files changed, 146 insertions(+), 141 deletions(-)

diff --git a/javascript/images_history.js b/javascript/images_history.js
index ac5834c7..fb1356d9 100644
--- a/javascript/images_history.js
+++ b/javascript/images_history.js
@@ -20,7 +20,7 @@ var images_history_click_image = function(){
 var images_history_click_tab = function(){
     var tabs_box = gradioApp().getElementById("images_history_tab");
     if (!tabs_box.classList.contains(this.getAttribute("tabname"))) {
-        gradioApp().getElementById(this.getAttribute("tabname") + "_images_history_renew_page").click();
+        gradioApp().getElementById(this.getAttribute("tabname") + "_images_history_start").click();
         tabs_box.classList.add(this.getAttribute("tabname"))
     }                
 }
@@ -96,7 +96,7 @@ function images_history_get_current_img(tabname, img_index, files){
     ];
 }
 
-function images_history_delete(del_num, tabname, img_file_name, page_index, filenames, image_index){
+function images_history_delete(del_num, tabname, image_index){
     image_index = parseInt(image_index);
     var tab = gradioApp().getElementById(tabname + '_images_history');
     var set_btn = tab.querySelector(".images_history_set_index");
@@ -107,6 +107,7 @@ function images_history_delete(del_num, tabname, img_file_name, page_index, file
         }
     });    
     var img_num = buttons.length / 2;
+    del_num = Math.min(img_num - image_index, del_num)    
     if (img_num <= del_num){
         setTimeout(function(tabname){
             gradioApp().getElementById(tabname + '_images_history_renew_page').click();
@@ -114,30 +115,29 @@ function images_history_delete(del_num, tabname, img_file_name, page_index, file
     } else {
         var next_img  
         for (var i = 0; i < del_num; i++){
-            if (image_index + i < image_index + img_num){
-                buttons[image_index + i].style.display = 'none';
-                buttons[image_index + img_num + 1].style.display = 'none';
-                next_img = image_index + i + 1
-            }
+            buttons[image_index + i].style.display = 'none';
+            buttons[image_index + i + img_num].style.display = 'none';
+            next_img = image_index + i + 1
         }
         var bnt;
         if (next_img  >= img_num){
-            btn = buttons[image_index - del_num];
+            btn = buttons[image_index - 1];
         } else {            
             btn = buttons[next_img];          
         } 
         setTimeout(function(btn){btn.click()}, 30, btn);
     }
     images_history_disabled_del();  
-    return [del_num, tabname, img_file_name, page_index, filenames, image_index];
+   
 }
 
-function images_history_turnpage(img_path, page_index, image_index, tabname, date_from, date_to){
+function images_history_turnpage(tabname){
+    console.log("del_button")
+    gradioApp().getElementById(tabname + '_images_history_del_button').setAttribute('disabled','disabled');
     var buttons = gradioApp().getElementById(tabname + '_images_history').querySelectorAll(".gallery-item");
     buttons.forEach(function(elem) {
         elem.style.display = 'block';
-    })
-    return [img_path, page_index, image_index, tabname, date_from, date_to];
+    })   
 }
 
 function images_history_enable_del_buttons(){
@@ -147,7 +147,7 @@ function images_history_enable_del_buttons(){
 }
 
 function images_history_init(){ 
-    var load_txt2img_button = gradioApp().getElementById('txt2img_images_history_renew_page')
+    var load_txt2img_button = gradioApp().getElementById('saved_images_history_start')
     if (load_txt2img_button){        
         for (var i in images_history_tab_list ){
             tab = images_history_tab_list[i];
@@ -166,7 +166,8 @@ function images_history_init(){
 
             // this refreshes history upon tab switch
             // until the history is known to work well, which is not the case now, we do not do this at startup
-            //tab_btns[i].addEventListener('click', images_history_click_tab);
+            // -- load page very fast now,  so better user experience by automatically activating pages
+            tab_btns[i].addEventListener('click', images_history_click_tab);
         }    
         tabs_box.classList.add(images_history_tab_list[0]);
 
@@ -177,7 +178,7 @@ function images_history_init(){
     } 
 }
 
-var images_history_tab_list = ["txt2img", "img2img", "extras"];
+var images_history_tab_list = ["saved", "txt2img", "img2img", "extras"];
 setTimeout(images_history_init, 500);
 document.addEventListener("DOMContentLoaded", function() {
     var mutationObserver = new MutationObserver(function(m){
@@ -188,18 +189,16 @@ document.addEventListener("DOMContentLoaded", function() {
                 bnt.addEventListener('click', images_history_click_image, true);
             });
 
-            // same as load_txt2img_button.click() above
-            /*
             var cls_btn = gradioApp().getElementById(tabname + '_images_history_gallery').querySelector("svg");
             if (cls_btn){
                 cls_btn.addEventListener('click', function(){
-                    gradioApp().getElementById(tabname + '_images_history_renew_page').click();
+                    gradioApp().getElementById(tabname + '_images_history_del_button').setAttribute('disabled','disabled');
                 }, false);
-            }*/
+            }
 
         }     
     });
-    mutationObserver.observe( gradioApp(), { childList:true, subtree:true });
+    mutationObserver.observe(gradioApp(), { childList:true, subtree:true });
 
 });
 
diff --git a/modules/images_history.py b/modules/images_history.py
index 7fd75005..ae0b4e40 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -3,8 +3,10 @@ import shutil
 import time
 import hashlib
 import gradio
-show_max_dates_num = 3
+
 system_bak_path = "webui_log_and_bak"
+loads_files_num = 216
+num_of_imgs_per_page = 36
 def is_valid_date(date):
     try:
         time.strptime(date, "%Y%m%d")
@@ -53,38 +55,7 @@ def traverse_all_files(curr_path, image_list, all_type=False):
             image_list = traverse_all_files(file, image_list)
     return image_list
 
-def get_recent_images(dir_name, page_index, step, image_index, tabname, date_from, date_to):
-    #print(f"turn_page {page_index}",date_from)
-    if date_from is None or date_from == "":
-        return None, 1, None, ""
-    image_list = []
-    date_list = auto_sorting(dir_name)
-    page_index = int(page_index)
-    today = time.strftime("%Y%m%d",time.localtime(time.time()))
-    for date in date_list:
-        if date >= date_from and date <= date_to:
-            path = os.path.join(dir_name, date)
-            if date == today and not os.path.exists(path):
-                continue
-            image_list = traverse_all_files(path, image_list)
-
-    image_list = sorted(image_list, key=lambda file: -os.path.getctime(file))
-    num = 48 if tabname != "extras" else 12
-    max_page_index = len(image_list) // num + 1
-    page_index = max_page_index if page_index == -1 else page_index + step
-    page_index = 1 if page_index < 1 else page_index
-    page_index = max_page_index if page_index > max_page_index else page_index
-    idx_frm = (page_index - 1) * num
-    image_list = image_list[idx_frm:idx_frm + num]
-    image_index = int(image_index)
-    if image_index < 0 or image_index > len(image_list) - 1:
-        current_file = None
-    else:
-        current_file = image_list[image_index]
-    return image_list, page_index, image_list,  ""
-
-def auto_sorting(dir_name):
-    #print(f"auto sorting")
+def auto_sorting(dir_name):    
     bak_path = os.path.join(dir_name, system_bak_path)
     if not os.path.exists(bak_path):
         os.mkdir(bak_path)
@@ -126,102 +97,131 @@ def auto_sorting(dir_name):
     today = time.strftime("%Y%m%d",time.localtime(time.time()))
     if today not in date_list:
         date_list.append(today)
-    return sorted(date_list)
+    return sorted(date_list, reverse=True)
 
 
 
-def archive_images(dir_name):
+def archive_images(dir_name, date_to):
     date_list = auto_sorting(dir_name)
-    date_from = date_list[-show_max_dates_num] if len(date_list) > show_max_dates_num else date_list[0]
+    today = time.strftime("%Y%m%d",time.localtime(time.time()))
+    date_to = today if date_to is None  or date_to == "" else date_to
+    filenames = []
+    for date in date_list:
+        if date <= date_to:
+            path = os.path.join(dir_name, date)
+            if date == today and not os.path.exists(path):
+                continue
+            filenames = traverse_all_files(path, filenames)
+        if len(filenames) > loads_files_num:            
+            break
+    filenames = sorted(filenames, key=lambda file: -os.path.getctime(file))
+    _, image_list, _, visible_num = get_recent_images(1, 0, filenames)
     return (
         gradio.update(visible=False), 
         gradio.update(visible=True), 
-        gradio.Dropdown.update(choices=date_list, value=date_list[-1]),
-        gradio.Dropdown.update(choices=date_list, value=date_from)
+        gradio.Dropdown.update(choices=date_list, value=date_to),
+        date,
+        filenames,        
+        1,
+        image_list,
+        "",
+        visible_num
     )
+def system_init(dir_name):
+    ret =  [x for x in  archive_images(dir_name, None)]
+    ret += [gradio.update(visible=False)]
+    return ret    
 
-def date_to_change(dir_name, page_index, image_index, tabname, date_from, date_to):
-    #print("date_to", date_to)
-    date_list = auto_sorting(dir_name)
-    date_from_list = [date for date in date_list if date <= date_to]
-    date_from = date_from_list[0] if len(date_from_list) < show_max_dates_num else date_from_list[-show_max_dates_num]
-    image_list, page_index, image_list, _  =get_recent_images(dir_name, 1, 0, image_index, tabname, date_from, date_to)
-    return image_list, page_index, image_list, _, gradio.Dropdown.update(choices=date_from_list, value=date_from)
+def newest_click(dir_name,  date_to):
+    if date_to == "start":
+         return  True,  False, "start", None, None, 1, None, ""
+    else:
+        return archive_images(dir_name, time.strftime("%Y%m%d",time.localtime(time.time())))
 
-def first_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
-    return get_recent_images(dir_name, 1, 0, image_index, tabname, date_from, date_to)
-
-
-def end_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
-    return get_recent_images(dir_name, -1, 0, image_index, tabname, date_from, date_to)
-
-
-def prev_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
-    return get_recent_images(dir_name, page_index, -1, image_index, tabname, date_from, date_to)
-
-
-def next_page_click(dir_name, page_index, image_index, tabname, date_from, date_to):
-    return get_recent_images(dir_name, page_index, 1, image_index, tabname, date_from, date_to)
-
-
-def page_index_change(dir_name, page_index, image_index, tabname, date_from, date_to):
-    return get_recent_images(dir_name, page_index, 0, image_index, tabname, date_from, date_to)
-
-
-def show_image_info(tabname_box, num, filenames):
-    # #print(f"select image {num}")
-    file = filenames[int(num)]
-    return file, num, file
-
-def delete_image(delete_num, tabname, name, page_index, filenames, image_index):
+def delete_image(delete_num, name, filenames, image_index, visible_num):
     if name == "":
         return filenames, delete_num
     else:
         delete_num = int(delete_num)
+        visible_num = int(visible_num)
+        image_index = int(image_index)
         index = list(filenames).index(name)
         i = 0
         new_file_list = []
         for name in filenames:
             if i >= index and i < index + delete_num:
                 if os.path.exists(name):
-                    #print(f"Delete file {name}")
+                    if visible_num == image_index:
+                        new_file_list.append(name)
+                        continue                    
+                    print(f"Delete file {name}")
                     os.remove(name)
+                    visible_num -= 1
                     txt_file = os.path.splitext(name)[0] + ".txt"
                     if os.path.exists(txt_file):
                         os.remove(txt_file)
                 else:
-                    #print(f"Not exists file {name}")
+                    print(f"Not exists file {name}")
             else:
                 new_file_list.append(name)
             i += 1
-    return new_file_list, 1
+    return new_file_list, 1, visible_num
+
+def get_recent_images(page_index, step, filenames):
+    page_index = int(page_index)
+    max_page_index = len(filenames) // num_of_imgs_per_page + 1
+    page_index = max_page_index if page_index == -1 else page_index + step
+    page_index = 1 if page_index < 1 else page_index
+    page_index = max_page_index if page_index > max_page_index else page_index
+    idx_frm = (page_index - 1) * num_of_imgs_per_page
+    image_list = filenames[idx_frm:idx_frm + num_of_imgs_per_page]
+    length = len(filenames)
+    visible_num = num_of_imgs_per_page if  idx_frm + num_of_imgs_per_page <= length else length % num_of_imgs_per_page 
+    visible_num = num_of_imgs_per_page if visible_num == 0 else visible_num
+    return page_index, image_list,  "", visible_num
+
+def first_page_click(page_index, filenames):
+    return get_recent_images(1, 0, filenames)
+
+def end_page_click(page_index, filenames):
+    return get_recent_images(-1, 0, filenames)
+
+def prev_page_click(page_index, filenames):
+    return get_recent_images(page_index, -1, filenames)
+
+def next_page_click(page_index, filenames):
+    return get_recent_images(page_index, 1, filenames)
+
+def page_index_change(page_index, filenames):
+    return get_recent_images(page_index, 0, filenames)
+
+def show_image_info(tabname_box, num, page_index, filenames):
+    file = filenames[int(num) + int((page_index - 1) * num_of_imgs_per_page)] 
+    return file, num, file
 
 def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
-    if opts.outdir_samples != "":
-        dir_name = opts.outdir_samples
-    elif tabname == "txt2img":
+    if tabname == "txt2img":
         dir_name = opts.outdir_txt2img_samples
     elif tabname == "img2img":
         dir_name = opts.outdir_img2img_samples
     elif tabname == "extras":
         dir_name = opts.outdir_extras_samples
+    elif tabname == "saved":
+        dir_name = opts.outdir_save
+        if not os.path.exists(dir_name):
+            os.makedirs(dir_name)
     d = dir_name.split("/")
-    dir_name = "/" if dir_name.startswith("/") else d[0]
+    dir_name = d[0]
     for p in d[1:]:
         dir_name = os.path.join(dir_name, p)
 
     f_list = os.listdir(dir_name)
     sorted_flag = os.path.exists(os.path.join(dir_name, system_bak_path)) or len(f_list) == 0 
     date_list, date_from, date_to = None, None, None
-    if sorted_flag:
-        #print(sorted_flag)
-        date_list = auto_sorting(dir_name)
-        date_to = date_list[-1]
-        date_from = date_list[-show_max_dates_num] if len(date_list) > show_max_dates_num else date_list[0] 
 
     with gr.Column(visible=sorted_flag) as page_panel:
         with gr.Row():
-            renew_page = gr.Button('Refresh', elem_id=tabname + "_images_history_renew_page", interactive=sorted_flag)
+            #renew_page = gr.Button('Refresh')
             first_page = gr.Button('First Page')
             prev_page = gr.Button('Prev Page')
             page_index = gr.Number(value=1, label="Page Index")
@@ -231,9 +231,9 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
         with gr.Row(elem_id=tabname + "_images_history"):
             with gr.Column(scale=2):
                 with gr.Row():
-                    newest = gr.Button('Newest')
-                    date_to = gr.Dropdown(choices=date_list, value=date_to, label="Date to")
-                    date_from = gr.Dropdown(choices=date_list, value=date_from, label="Date from")                    
+                    newest = gr.Button('Refresh', elem_id=tabname + "_images_history_start")                    
+                    date_from = gr.Textbox(label="Date from", interactive=False)  
+                    date_to = gr.Dropdown(value="start" if not sorted_flag else None, label="Date to")                  
 
                 history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=6)
                 with gr.Row():
@@ -247,66 +247,72 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
                     with gr.Column():
                         img_file_info = gr.Textbox(label="Generate Info", interactive=False)
                         img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
+                        
                     # hiden items
-                    with gr.Row(visible=False):
+                    with gr.Row(visible=False):   
+                        visible_img_num = gr.Number()                     
                         img_path = gr.Textbox(dir_name)
                         tabname_box = gr.Textbox(tabname)
                         image_index = gr.Textbox(value=-1)
                         set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
                         filenames = gr.State()
+                        all_images_list = gr.State()
                         hidden = gr.Image(type="pil")
                         info1 = gr.Textbox()
                         info2 = gr.Textbox()
+
     with gr.Column(visible=not sorted_flag) as init_warning:
         with gr.Row():
-            gr.Textbox("The system needs to archive the files according to the date. This requires changing the directory structure of the files",
-             label="Waring",
-             css="")
+            warning = gr.Textbox(
+                label="Waring",
+                value=f"The system needs to archive the files according to the date. This requires changing the directory structure of the files.If you have doubts about this operation, you can first back up the files in the '{dir_name}' directory"
+            )
+            warning.style(height=100, width=50)
         with gr.Row():
             sorted_button = gr.Button('Confirme')
 
-                  
-           
+    change_date_output = [init_warning, page_panel, date_to, date_from, filenames, page_index, history_gallery, img_file_name, visible_img_num]           
+    sorted_button.click(system_init, inputs=[img_path], outputs=change_date_output + [sorted_button]) 
+    newest.click(newest_click, inputs=[img_path, date_to], outputs=change_date_output)
+    date_to.change(archive_images, inputs=[img_path, date_to], outputs=change_date_output) 
+    date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+    newest.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+
+    delete.click(delete_image, inputs=[delete_num, img_file_name, filenames, image_index, visible_img_num], outputs=[filenames, delete_num, visible_img_num])
+    delete.click(fn=None, _js="images_history_delete", inputs=[delete_num, tabname_box, image_index], outputs=None)  
+    
    
     # turn pages
-    gallery_inputs = [img_path, page_index, image_index, tabname_box, date_from, date_to]
-    gallery_outputs = [history_gallery, page_index, filenames, img_file_name]
+    gallery_inputs = [page_index, filenames]
+    gallery_outputs = [page_index, history_gallery, img_file_name, visible_img_num]
 
-    first_page.click(first_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
-    next_page.click(next_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
-    prev_page.click(prev_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
-    end_page.click(end_page_click, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
-    page_index.submit(page_index_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
-    renew_page.click(page_index_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs)
-    # page_index.change(page_index_change, inputs=[tabname_box, img_path,  page_index], outputs=[history_gallery, page_index])
+    first_page.click(first_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
+    next_page.click(next_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
+    prev_page.click(prev_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
+    end_page.click(end_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
+    page_index.submit(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
+
+    first_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+    next_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+    prev_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+    end_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+    page_index.submit(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
 
     # other funcitons
-    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, filenames], outputs=[img_file_name, image_index, hidden])
-    img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None)
-    delete.click(delete_image, _js="images_history_delete", inputs=[delete_num, tabname_box, img_file_name, page_index, filenames, image_index], outputs=[filenames, delete_num])
+    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, page_index, filenames], outputs=[img_file_name, image_index, hidden])
+    img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None)   
     hidden.change(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2])
-    date_to.change(date_to_change, _js="images_history_turnpage", inputs=gallery_inputs, outputs=gallery_outputs + [date_from])
-    # pnginfo.click(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2])
+
     switch_dict["fn"](pnginfo_send_to_txt2img, switch_dict["t2i"], img_file_info, 'switch_to_txt2img')
     switch_dict["fn"](pnginfo_send_to_img2img, switch_dict["i2i"], img_file_info, 'switch_to_img2img_img2img')
 
-    sorted_button.click(archive_images, inputs=[img_path], outputs=[init_warning, page_panel, date_to, date_from])
-    newest.click(archive_images, inputs=[img_path], outputs=[init_warning, page_panel, date_to, date_from])
-   
-    
-    
 
 
 def create_history_tabs(gr, opts, run_pnginfo, switch_dict):
     with gr.Blocks(analytics_enabled=False) as images_history:
         with gr.Tabs() as tabs:
-            with gr.Tab("txt2img history"):
-                with gr.Blocks(analytics_enabled=False) as images_history_txt2img:
-                    show_images_history(gr, opts, "txt2img", run_pnginfo, switch_dict)
-            with gr.Tab("img2img history"):
-                with gr.Blocks(analytics_enabled=False) as images_history_img2img:
-                    show_images_history(gr, opts, "img2img", run_pnginfo, switch_dict)
-            with gr.Tab("extras history"):
-                with gr.Blocks(analytics_enabled=False) as images_history_img2img:
-                    show_images_history(gr, opts, "extras", run_pnginfo, switch_dict)
+            for tab in ["saved", "txt2img", "img2img", "extras"]:
+                with gr.Tab(tab):
+                    with gr.Blocks(analytics_enabled=False) as images_history_img2img:
+                        show_images_history(gr, opts, tab, run_pnginfo, switch_dict) 
     return images_history

From a4de699e3c235d83b5a957d08779cb41cb0781bc Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sun, 16 Oct 2022 22:37:12 +0800
Subject: [PATCH 005/321] Images history speed up

---
 javascript/images_history.js | 1 +
 modules/images_history.py    | 7 +++++--
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/javascript/images_history.js b/javascript/images_history.js
index fb1356d9..9d9d04fb 100644
--- a/javascript/images_history.js
+++ b/javascript/images_history.js
@@ -108,6 +108,7 @@ function images_history_delete(del_num, tabname, image_index){
     });    
     var img_num = buttons.length / 2;
     del_num = Math.min(img_num - image_index, del_num)    
+    console.log(del_num, img_num)
     if (img_num <= del_num){
         setTimeout(function(tabname){
             gradioApp().getElementById(tabname + '_images_history_renew_page').click();
diff --git a/modules/images_history.py b/modules/images_history.py
index ae0b4e40..94bd16a8 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -153,6 +153,7 @@ def delete_image(delete_num, name, filenames, image_index, visible_num):
                 if os.path.exists(name):
                     if visible_num == image_index:
                         new_file_list.append(name)
+                        i += 1
                         continue                    
                     print(f"Delete file {name}")
                     os.remove(name)
@@ -221,7 +222,7 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
 
     with gr.Column(visible=sorted_flag) as page_panel:
         with gr.Row():
-            #renew_page = gr.Button('Refresh')
+            renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
             first_page = gr.Button('First Page')
             prev_page = gr.Button('Prev Page')
             page_index = gr.Number(value=1, label="Page Index")
@@ -231,7 +232,7 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
         with gr.Row(elem_id=tabname + "_images_history"):
             with gr.Column(scale=2):
                 with gr.Row():
-                    newest = gr.Button('Refresh', elem_id=tabname + "_images_history_start")                    
+                    newest = gr.Button('Reload', elem_id=tabname + "_images_history_start")                    
                     date_from = gr.Textbox(label="Date from", interactive=False)  
                     date_to = gr.Dropdown(value="start" if not sorted_flag else None, label="Date to")                  
 
@@ -291,12 +292,14 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
     prev_page.click(prev_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
     end_page.click(end_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
     page_index.submit(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
+    renew_page.click(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
 
     first_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
     next_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
     prev_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
     end_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
     page_index.submit(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
+    renew_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
 
     # other funcitons
     set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, page_index, filenames], outputs=[img_file_name, image_index, hidden])

From 9d702b16f01795c3af900e0ebd70faf4b25200f6 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 17 Oct 2022 16:11:03 +0800
Subject: [PATCH 006/321] fix two little bug

---
 modules/images_history.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/images_history.py b/modules/images_history.py
index 23045df1..1ae168ca 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -133,7 +133,7 @@ def archive_images(dir_name, date_to):
             date = sort_array[loads_num][2]
             filenames = [x[1] for x in sort_array]
         else:
-            date =  sort_array[loads_num][2]
+            date =  sort_array[-1][2]
             filenames = [x[1] for x in sort_array]
         filenames = [x[1] for x in sort_array if x[2]>= date]
     _, image_list, _, visible_num = get_recent_images(1, 0, filenames)
@@ -334,6 +334,6 @@ def create_history_tabs(gr, sys_opts, run_pnginfo, switch_dict):
                 with gr.Tab(tab):
                     with gr.Blocks(analytics_enabled=False) as images_history_img2img:
                         show_images_history(gr, opts, tab, run_pnginfo, switch_dict) 
-        gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_reconstruct_directory") #, visible=False)
+        gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_reconstruct_directory", visible=False)
     
     return images_history

From c408a0b41cfffde184cad35b2d97346342947d83 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 17 Oct 2022 22:28:43 +0800
Subject: [PATCH 007/321] fix two bug

---
 launch.py                 | 1 -
 modules/images_history.py | 4 ++--
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/launch.py b/launch.py
index 7520cfee..088eada1 100644
--- a/launch.py
+++ b/launch.py
@@ -11,7 +11,6 @@ python = sys.executable
 git = os.environ.get('GIT', "git")
 index_url = os.environ.get('INDEX_URL', "")
 
-
 def extract_arg(args, name):
     return [x for x in args if x != name], name in args
 
diff --git a/modules/images_history.py b/modules/images_history.py
index 1ae168ca..10e5b970 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -181,7 +181,8 @@ def delete_image(delete_num, name, filenames, image_index, visible_num):
     return new_file_list, 1, visible_num
 
 def save_image(file_name):
-    shutil.copy2(file_name, opts.outdir_save)
+    if file_name is not None and os.path.exists(file_name):
+        shutil.copy2(file_name, opts.outdir_save)
 
 def get_recent_images(page_index, step, filenames):
     page_index = int(page_index)
@@ -327,7 +328,6 @@ def create_history_tabs(gr, sys_opts, run_pnginfo, switch_dict):
     opts = sys_opts
     loads_files_num = int(opts.images_history_num_per_page)
     num_of_imgs_per_page = int(opts.images_history_num_per_page * opts.images_history_pages_num)
-    backup_flag = opts.images_history_backup
     with gr.Blocks(analytics_enabled=False) as images_history:
         with gr.Tabs() as tabs:
             for tab in ["txt2img", "img2img", "extras", "saved"]:

From de179cf8fd8191e1a6d288e7c29a16f53da1be88 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 17 Oct 2022 22:38:46 +0800
Subject: [PATCH 008/321] fix two bug

---
 launch.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/launch.py b/launch.py
index 088eada1..7520cfee 100644
--- a/launch.py
+++ b/launch.py
@@ -11,6 +11,7 @@ python = sys.executable
 git = os.environ.get('GIT', "git")
 index_url = os.environ.get('INDEX_URL', "")
 
+
 def extract_arg(args, name):
     return [x for x in args if x != name], name in args
 

From 2272cf2f35fafd5cd486bfb4ee89df5bbc625b97 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 17 Oct 2022 23:04:42 +0800
Subject: [PATCH 009/321] fix two bug

---
 modules/images_history.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/images_history.py b/modules/images_history.py
index 10e5b970..1c1790a4 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -133,7 +133,7 @@ def archive_images(dir_name, date_to):
             date = sort_array[loads_num][2]
             filenames = [x[1] for x in sort_array]
         else:
-            date =  sort_array[-1][2]
+            date =  None if len(sort_array) == 0 else sort_array[-1][2]
             filenames = [x[1] for x in sort_array]
         filenames = [x[1] for x in sort_array if x[2]>= date]
     _, image_list, _, visible_num = get_recent_images(1, 0, filenames)

From 2b5b62e768d892773a7ec1d5e8d8cea23aae1254 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 17 Oct 2022 23:14:03 +0800
Subject: [PATCH 010/321] fix two bug

---
 modules/images_history.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/images_history.py b/modules/images_history.py
index 1c1790a4..20324557 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -44,7 +44,7 @@ def traverse_all_files(curr_path, image_list, all_type=False):
         return image_list
     for file in f_list:
         file = os.path.join(curr_path, file)
-        if (not all_type) and file[-4:] == ".txt":
+        if (not all_type) and (file[-4:] == ".txt" or file[-4:] == ".csv"):
             pass
         elif os.path.isfile(file) and file[-10:].rfind(".") > 0:
             image_list.append(file)
@@ -182,7 +182,7 @@ def delete_image(delete_num, name, filenames, image_index, visible_num):
 
 def save_image(file_name):
     if file_name is not None and os.path.exists(file_name):
-        shutil.copy2(file_name, opts.outdir_save)
+        shutil.copy(file_name, opts.outdir_save)
 
 def get_recent_images(page_index, step, filenames):
     page_index = int(page_index)

From 7651b84968f66dd0a5c3346520aad8dac6c4464e Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 19:07:17 +0900
Subject: [PATCH 011/321] Initial KR support - WIP

Localization WIP
---
 ko-KR.json | 76 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 ko-KR.json

diff --git a/ko-KR.json b/ko-KR.json
new file mode 100644
index 00000000..f93b3e16
--- /dev/null
+++ b/ko-KR.json
@@ -0,0 +1,76 @@
+{
+  "txt2img": "텍스트→이미지",
+  "img2img": "이미지→이미지",
+  "Extras": "부가기능",
+  "PNG Info": "PNG 정보",
+  "History": "기록",
+  "Checkpoint Merger": "체크포인트 병합",
+  "Train": "훈련",
+  "Settings": "설정",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Hypernetwork": "하이퍼네트워크",
+  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
+  "Generate": "생성",
+  "Style 1": "스타일 1",
+  "Style 2": "스타일 2",
+  "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
+  "Save style": "스타일 저장",
+  "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
+  "Do not do anything special": "아무것도 하지 않기",
+  "Generate forever": "반복 생성",
+  "Cancel generate forever": "반복 생성 취소",
+  "Interrupt": "중단",
+  "Skip": "건너뛰기",
+  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
+  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
+  "Prompt": "프롬프트",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt": "네거티브 프롬프트",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Sampling method": "샘플링 방법",
+  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
+  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Width": "가로",
+  "Height": "세로",
+  "Restore faces": "얼굴 보정",
+  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
+  "Tiling": "타일링",
+  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Highres. fix": "고해상도 보정",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Firstpass width": "초기 가로길이",
+  "Firstpass height": "초기 세로길이",
+  "Denoising strength": "디노이즈 강도",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Batch count": "배치 수",
+  "Batch size": "배치 크기",
+  "How many batches of images to create": "생성할 이미지 배치 수",
+  "How many image to create in a single batch": "한 배치당 이미지 수",
+  "CFG Scale": "CFG 스케일",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Seed": "시드",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
+  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
+  "Extra": "고급",
+  "Variation seed": "바리에이션 시드",
+  "Variation strength": "바리에이션 강도",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
+  "Resize seed from height": "시드 리사이징 가로길이",
+  "Resize seed from width": "시드 리사이징 세로길이",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Script": "스크립트",
+  "Save": "저장",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "Send to img2img": "이미지→이미지로 전송",
+  "Send to inpaint": "인페인트로 전송",
+  "Send to extras": "부가기능으로 전송",
+  "Open images output directory": "이미지 저장 경로 열기",
+  "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Always save all generated images": "생성된 이미지 항상 저장하기"
+}
\ No newline at end of file

From 50e34cf194b3e3085bc99aeea4dbfd7758dc79c8 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 20:11:17 +0900
Subject: [PATCH 012/321] Update ko-KR.json

---
 localizations/ko-KR.json | 85 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 localizations/ko-KR.json

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
new file mode 100644
index 00000000..a4367dc5
--- /dev/null
+++ b/localizations/ko-KR.json
@@ -0,0 +1,85 @@
+{
+  "⤡": "⤡",
+  "⊞": "⊞",
+  "×": "×",
+  "❮": "❮",
+  "❯": "❯",
+  "Loading...": "로딩중...",
+  "view": "",
+  "api": "api",
+  "•": "•",
+  "txt2img": "텍스트→이미지",
+  "img2img": "이미지→이미지",
+  "Extras": "부가기능",
+  "PNG Info": "PNG 정보",
+  "History": "기록",
+  "Checkpoint Merger": "체크포인트 병합",
+  "Train": "훈련",
+  "Settings": "설정",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Hypernetwork": "하이퍼네트워크",
+  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
+  "Generate": "생성",
+  "Style 1": "스타일 1",
+  "Style 2": "스타일 2",
+  "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
+  "Save style": "스타일 저장",
+  "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
+  "Do not do anything special": "아무것도 하지 않기",
+  "Generate forever": "반복 생성",
+  "Cancel generate forever": "반복 생성 취소",
+  "Interrupt": "중단",
+  "Skip": "건너뛰기",
+  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
+  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
+  "Prompt": "프롬프트",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt": "네거티브 프롬프트",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Sampling method": "샘플링 방법",
+  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
+  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Width": "가로",
+  "Height": "세로",
+  "Restore faces": "얼굴 보정",
+  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
+  "Tiling": "타일링",
+  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Highres. fix": "고해상도 보정",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Firstpass width": "초기 가로길이",
+  "Firstpass height": "초기 세로길이",
+  "Denoising strength": "디노이즈 강도",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Batch count": "배치 수",
+  "Batch size": "배치 크기",
+  "How many batches of images to create": "생성할 이미지 배치 수",
+  "How many image to create in a single batch": "한 배치당 이미지 수",
+  "CFG Scale": "CFG 스케일",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Seed": "시드",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
+  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
+  "Extra": "고급",
+  "Variation seed": "바리에이션 시드",
+  "Variation strength": "바리에이션 강도",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
+  "Resize seed from height": "시드 리사이징 가로길이",
+  "Resize seed from width": "시드 리사이징 세로길이",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Script": "스크립트",
+  "Save": "저장",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "Send to img2img": "이미지→이미지로 전송",
+  "Send to inpaint": "인페인트로 전송",
+  "Send to extras": "부가기능으로 전송",
+  "Open images output directory": "이미지 저장 경로 열기",
+  "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Always save all generated images": "생성된 이미지 항상 저장하기"
+}
\ No newline at end of file

From 0530f07da3c77ed4bfa02f37de5c84562a37f470 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 20:12:54 +0900
Subject: [PATCH 013/321] Move ko-KR.json

---
 ko-KR.json | 76 ------------------------------------------------------
 1 file changed, 76 deletions(-)
 delete mode 100644 ko-KR.json

diff --git a/ko-KR.json b/ko-KR.json
deleted file mode 100644
index f93b3e16..00000000
--- a/ko-KR.json
+++ /dev/null
@@ -1,76 +0,0 @@
-{
-  "txt2img": "텍스트→이미지",
-  "img2img": "이미지→이미지",
-  "Extras": "부가기능",
-  "PNG Info": "PNG 정보",
-  "History": "기록",
-  "Checkpoint Merger": "체크포인트 병합",
-  "Train": "훈련",
-  "Settings": "설정",
-  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
-  "Hypernetwork": "하이퍼네트워크",
-  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
-  "Generate": "생성",
-  "Style 1": "스타일 1",
-  "Style 2": "스타일 2",
-  "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
-  "Save style": "스타일 저장",
-  "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
-  "Do not do anything special": "아무것도 하지 않기",
-  "Generate forever": "반복 생성",
-  "Cancel generate forever": "반복 생성 취소",
-  "Interrupt": "중단",
-  "Skip": "건너뛰기",
-  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
-  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
-  "Prompt": "프롬프트",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Negative prompt": "네거티브 프롬프트",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Sampling Steps": "샘플링 스텝 수",
-  "Sampling method": "샘플링 방법",
-  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
-  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
-  "Width": "가로",
-  "Height": "세로",
-  "Restore faces": "얼굴 보정",
-  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
-  "Tiling": "타일링",
-  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
-  "Highres. fix": "고해상도 보정",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
-  "Firstpass width": "초기 가로길이",
-  "Firstpass height": "초기 세로길이",
-  "Denoising strength": "디노이즈 강도",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
-  "Batch count": "배치 수",
-  "Batch size": "배치 크기",
-  "How many batches of images to create": "생성할 이미지 배치 수",
-  "How many image to create in a single batch": "한 배치당 이미지 수",
-  "CFG Scale": "CFG 스케일",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
-  "Seed": "시드",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
-  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
-  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
-  "Extra": "고급",
-  "Variation seed": "바리에이션 시드",
-  "Variation strength": "바리에이션 강도",
-  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
-  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
-  "Resize seed from height": "시드 리사이징 가로길이",
-  "Resize seed from width": "시드 리사이징 세로길이",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
-  "Script": "스크립트",
-  "Save": "저장",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
-  "Send to img2img": "이미지→이미지로 전송",
-  "Send to inpaint": "인페인트로 전송",
-  "Send to extras": "부가기능으로 전송",
-  "Open images output directory": "이미지 저장 경로 열기",
-  "Make Zip when Save?": "저장 시 Zip 생성하기",
-  "Always save all generated images": "생성된 이미지 항상 저장하기"
-}
\ No newline at end of file

From eb299527b1e5d1f83a14641647fca72e8fb305ac Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Tue, 18 Oct 2022 20:14:11 +0800
Subject: [PATCH 014/321] Image browser

---
 javascript/images_history.js |  19 ++-
 modules/images_history.py    | 223 +++++++++++++++++++++++------------
 modules/shared.py            |   7 +-
 modules/ui.py                |   2 +-
 uitest.bat                   |   2 +
 uitest.py                    | 124 +++++++++++++++++++
 6 files changed, 287 insertions(+), 90 deletions(-)
 create mode 100644 uitest.bat
 create mode 100644 uitest.py

diff --git a/javascript/images_history.js b/javascript/images_history.js
index 3c028bc6..182d730b 100644
--- a/javascript/images_history.js
+++ b/javascript/images_history.js
@@ -145,9 +145,10 @@ function images_history_enable_del_buttons(){
 }
 
 function images_history_init(){ 
-    var loaded = gradioApp().getElementById("images_history_reconstruct_directory")
-    if (loaded){  
-        var init_status = loaded.querySelector("input").checked       
+    // var loaded = gradioApp().getElementById("images_history_reconstruct_directory")
+    // if (loaded){  
+        // var init_status = loaded.querySelector("input").checked 
+    if (gradioApp().getElementById("images_history_finish_render")){      
         for (var i in images_history_tab_list ){
             tab = images_history_tab_list[i];
             gradioApp().getElementById(tab + '_images_history').classList.add("images_history_cantainor");
@@ -163,19 +164,17 @@ function images_history_init(){
         for (var i in images_history_tab_list){               
             var tabname = images_history_tab_list[i]
             tab_btns[i].setAttribute("tabname", tabname);
-            if (init_status){
-                tab_btns[i].addEventListener('click', images_history_click_tab);
-            }
-        }  
-        if (init_status){
-                tab_btns[0].click();
+            // if (!init_status){
+            //     tab_btns[i].addEventListener('click', images_history_click_tab);
+            // }
+            tab_btns[i].addEventListener('click', images_history_click_tab);
         }  
     } else {
         setTimeout(images_history_init, 500);
     } 
 }
 
-var images_history_tab_list = ["txt2img", "img2img", "extras", "saved"];
+var images_history_tab_list = ["custom", "txt2img", "img2img", "extras", "saved"];
 setTimeout(images_history_init, 500);
 document.addEventListener("DOMContentLoaded", function() {
     var mutationObserver = new MutationObserver(function(m){
diff --git a/modules/images_history.py b/modules/images_history.py
index 20324557..d56f3a25 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -4,6 +4,7 @@ import time
 import hashlib
 import gradio
 system_bak_path = "webui_log_and_bak"
+browser_tabname = "custom"
 def is_valid_date(date):
     try:
         time.strptime(date, "%Y%m%d")
@@ -99,13 +100,15 @@ def auto_sorting(dir_name):
         date_list.append(today)
     return sorted(date_list, reverse=True)
 
-def archive_images(dir_name, date_to): 
+def archive_images(dir_name, date_to):
+    
     filenames = []   
     loads_num =int(opts.images_history_num_per_page * opts.images_history_pages_num)
+    today = time.strftime("%Y%m%d",time.localtime(time.time()))
+    date_to = today if date_to is None  or date_to == "" else date_to
+    date_to_bak = date_to 
     if opts.images_history_reconstruct_directory:        
-        date_list = auto_sorting(dir_name)
-        today = time.strftime("%Y%m%d",time.localtime(time.time()))
-        date_to = today if date_to is None  or date_to == "" else date_to        
+        date_list = auto_sorting(dir_name)               
         for date in date_list:
             if date <= date_to:
                 path = os.path.join(dir_name, date)
@@ -120,7 +123,7 @@ def archive_images(dir_name, date_to):
         tmparray = [(os.path.getmtime(file), file) for file in filenames ]
         date_stamp = time.mktime(time.strptime(date_to, "%Y%m%d")) + 86400      
         filenames = []
-        date_list = {}
+        date_list = {date_to:None}
         date = time.strftime("%Y%m%d",time.localtime(time.time()))
         for t, f in tmparray:
             date = time.strftime("%Y%m%d",time.localtime(t))
@@ -133,22 +136,29 @@ def archive_images(dir_name, date_to):
             date = sort_array[loads_num][2]
             filenames = [x[1] for x in sort_array]
         else:
-            date =  None if len(sort_array) == 0 else sort_array[-1][2]
+            date =  date_to if len(sort_array) == 0 else sort_array[-1][2]
             filenames = [x[1] for x in sort_array]
-        filenames = [x[1] for x in sort_array if x[2]>= date]
-    _, image_list, _, visible_num = get_recent_images(1, 0, filenames)
+        filenames = [x[1] for x in sort_array if x[2]>= date]   
+    num = len(filenames)  
+    last_date_from = date_to_bak if num == 0 else time.strftime("%Y%m%d", time.localtime(time.mktime(time.strptime(date, "%Y%m%d")) - 1000))
+    date = date[:4] + "-" + date[4:6] + "-" + date[6:8]
+    date_to_bak = date_to_bak[:4] + "-" + date_to_bak[4:6] + "-" + date_to_bak[6:8]
+    load_info = f"Loaded {(num + 1) // opts.images_history_pages_num} pades, {num} images, during {date} - {date_to_bak}"
+    _, image_list, _, _, visible_num = get_recent_images(1, 0, filenames)
     return (
         gradio.Dropdown.update(choices=date_list, value=date_to),
-        date,
+        load_info,
         filenames,        
         1,
         image_list,
         "",
-        visible_num
+        "",
+        visible_num, 
+        last_date_from
     )
 
-def newest_click(dir_name,  date_to):
-        return archive_images(dir_name, time.strftime("%Y%m%d",time.localtime(time.time())))
+
+
 
 def delete_image(delete_num, name, filenames, image_index, visible_num):
     if name == "":
@@ -196,7 +206,29 @@ def get_recent_images(page_index, step, filenames):
     length = len(filenames)
     visible_num = num_of_imgs_per_page if  idx_frm + num_of_imgs_per_page <= length else length % num_of_imgs_per_page 
     visible_num = num_of_imgs_per_page if visible_num == 0 else visible_num
-    return page_index, image_list,  "", visible_num
+    return page_index, image_list,  "", "",  visible_num
+
+def newest_click(date_to):
+    if date_to is None:
+        return time.strftime("%Y%m%d",time.localtime(time.time())), []
+    else:
+        return None, []
+def forward_click(last_date_from, date_to_recorder):
+    if len(date_to_recorder) == 0:
+        return None, []
+    if last_date_from == date_to_recorder[-1]:
+        date_to_recorder = date_to_recorder[:-1]
+    if len(date_to_recorder) == 0:
+        return None, []
+    return date_to_recorder[-1], date_to_recorder[:-1]
+
+def backward_click(last_date_from, date_to_recorder):
+    if last_date_from is None or last_date_from == "":
+        return time.strftime("%Y%m%d",time.localtime(time.time())), []
+    if len(date_to_recorder) == 0 or last_date_from != date_to_recorder[-1]:
+        date_to_recorder.append(last_date_from)    
+    return last_date_from, date_to_recorder
+
 
 def first_page_click(page_index, filenames):
     return get_recent_images(1, 0, filenames)
@@ -214,13 +246,33 @@ def page_index_change(page_index, filenames):
     return get_recent_images(page_index, 0, filenames)
 
 def show_image_info(tabname_box, num, page_index, filenames):
-    file = filenames[int(num) + int((page_index - 1) * int(opts.images_history_num_per_page))]     
-    return file, num, file
+    file = filenames[int(num) + int((page_index - 1) * int(opts.images_history_num_per_page))]   
+    tm =   time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(os.path.getmtime(file)))
+    return file, tm, num, file
 
 def enable_page_buttons():
     return gradio.update(visible=True)
 
+def change_dir(img_dir, date_to):
+    warning = None
+    try:
+        if os.path.exists(img_dir):
+            try:
+                f = os.listdir(img_dir)                
+            except:
+                warning = f"'{img_dir} is not a directory"
+        else:
+            warning = "The directory is not exist"
+    except:
+        warning = "The format of the directory is incorrect"
+    if warning is None:        
+        today = time.strftime("%Y%m%d",time.localtime(time.time()))
+        return gradio.update(visible=False), gradio.update(visible=True), None,   None if date_to != today else today
+    else:
+        return gradio.update(visible=True), gradio.update(visible=False), warning, date_to
+
 def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
+    custom_dir = False
     if tabname == "txt2img":
         dir_name = opts.outdir_txt2img_samples
     elif tabname == "img2img":
@@ -229,69 +281,85 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
         dir_name = opts.outdir_extras_samples
     elif tabname == "saved":
         dir_name = opts.outdir_save
+    else:
+        custom_dir = True
+        dir_name = None
 
-    d = dir_name.split("/")
-    dir_name = d[0]
-    for p in d[1:]:
-        dir_name = os.path.join(dir_name, p)
-    if not os.path.exists(dir_name):
-        os.makedirs(dir_name)
+    if not custom_dir:
+        d = dir_name.split("/")
+        dir_name = d[0]
+        for p in d[1:]:
+            dir_name = os.path.join(dir_name, p)
+        if not os.path.exists(dir_name):
+            os.makedirs(dir_name)
 
-    with gr.Column() as page_panel:
-        with gr.Row(visible=False) as turn_page_buttons:
-            renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
-            first_page = gr.Button('First Page')
-            prev_page = gr.Button('Prev Page')
-            page_index = gr.Number(value=1, label="Page Index")
-            next_page = gr.Button('Next Page')
-            end_page = gr.Button('End Page')
+    with gr.Column() as page_panel:            
+            with gr.Row():  
+                img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory") 
+            with gr.Row(visible=False) as warning:                 
+                warning_box = gr.Textbox("Message", interactive=False)                        
 
-        with gr.Row(elem_id=tabname + "_images_history"):
-            with gr.Column(scale=2):
-                with gr.Row():
-                    newest = gr.Button('Reload', elem_id=tabname + "_images_history_start")                    
-                    date_from = gr.Textbox(label="Date from", interactive=False)  
-                    date_to = gr.Dropdown(label="Date to")                  
-
-                history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=6)
-                with gr.Row():
-                    delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next")
-                    delete = gr.Button('Delete', elem_id=tabname + "_images_history_del_button")
-                    
-            with gr.Column():
-                with gr.Row():
-                    if tabname != "saved":
-                        save_btn = gr.Button('Save')
-                    pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
-                    pnginfo_send_to_img2img = gr.Button('Send to img2img')
-                with gr.Row():
-                    with gr.Column():
-                        img_file_info = gr.Textbox(label="Generate Info", interactive=False)
-                        img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
+            with gr.Row(visible=not custom_dir, elem_id=tabname + "_images_history") as main_panel:
+                with gr.Column(scale=2):                   
+                    with gr.Row():                    
+                        backward = gr.Button('Backward')         
+                        date_to = gr.Dropdown(label="Date to") 
+                        forward = gr.Button('Forward')  
+                        newest = gr.Button('Reload', elem_id=tabname + "_images_history_start")   
+                    with gr.Row():
+                        load_info = gr.Textbox(show_label=False, interactive=False)  
+                    with gr.Row(visible=False) as turn_page_buttons:
+                        renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
+                        first_page = gr.Button('First Page')
+                        prev_page = gr.Button('Prev Page')
+                        page_index = gr.Number(value=1, label="Page Index")
+                        next_page = gr.Button('Next Page')
+                        end_page = gr.Button('End Page')                 
 
+                    history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=opts.images_history_grid_num)
+                    with gr.Row():
+                        delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next")
+                        delete = gr.Button('Delete', elem_id=tabname + "_images_history_del_button")
                         
-                    # hiden items
-                    with gr.Row(visible=False):   
-                        visible_img_num = gr.Number()                     
-                        img_path = gr.Textbox(dir_name)
-                        tabname_box = gr.Textbox(tabname)
-                        image_index = gr.Textbox(value=-1)
-                        set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
-                        filenames = gr.State()
-                        all_images_list = gr.State()
-                        hidden = gr.Image(type="pil")
-                        info1 = gr.Textbox()
-                        info2 = gr.Textbox()
+                with gr.Column():
+                    with gr.Row():
+                        if tabname != "saved":
+                            save_btn = gr.Button('Save')
+                        pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
+                        pnginfo_send_to_img2img = gr.Button('Send to img2img')
+                    with gr.Row():
+                        with gr.Column():
+                            img_file_info = gr.Textbox(label="Generate Info", interactive=False)
+                            img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
+                            img_file_time= gr.Textbox(value="", label="Create Time", interactive=False)
 
-    
+                            
+                        # hiden items
+                        with gr.Row(): #visible=False):   
+                            visible_img_num = gr.Number()                     
+                            date_to_recorder = gr.State([])
+                            last_date_from = gr.Textbox()
+                            tabname_box = gr.Textbox(tabname)
+                            image_index = gr.Textbox(value=-1)
+                            set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
+                            filenames = gr.State()
+                            all_images_list = gr.State()
+                            hidden = gr.Image(type="pil")
+                            info1 = gr.Textbox()
+                            info2 = gr.Textbox()
+
+    img_path.submit(change_dir, inputs=[img_path, date_to], outputs=[warning, main_panel, warning_box, date_to])
     #change date
-    change_date_output = [date_to, date_from, filenames, page_index, history_gallery, img_file_name, visible_img_num]  
-    newest.click(newest_click, inputs=[img_path, date_to], outputs=change_date_output)
-    date_to.change(archive_images, inputs=[img_path, date_to], outputs=change_date_output)     
-    newest.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    date_to.change(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])
-    newest.click(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])
+    change_date_output = [date_to, load_info, filenames, page_index, history_gallery, img_file_name, img_file_time, visible_img_num, last_date_from]  
+   
+    date_to.change(archive_images, inputs=[img_path, date_to], outputs=change_date_output)   
+    date_to.change(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])  
+    date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")  
+
+    newest.click(newest_click, inputs=[date_to], outputs=[date_to, date_to_recorder])
+    forward.click(forward_click, inputs=[last_date_from, date_to_recorder], outputs=[date_to, date_to_recorder])
+    backward.click(backward_click, inputs=[last_date_from, date_to_recorder], outputs=[date_to, date_to_recorder])
+
 
     #delete
     delete.click(delete_image, inputs=[delete_num, img_file_name, filenames, image_index, visible_img_num], outputs=[filenames, delete_num, visible_img_num])
@@ -301,7 +369,7 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
 
     #turn page
     gallery_inputs = [page_index, filenames]
-    gallery_outputs = [page_index, history_gallery, img_file_name, visible_img_num]
+    gallery_outputs = [page_index, history_gallery, img_file_name, img_file_time, visible_img_num]
     first_page.click(first_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
     next_page.click(next_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
     prev_page.click(prev_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
@@ -317,12 +385,14 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
     renew_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
 
     # other funcitons
-    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, page_index, filenames], outputs=[img_file_name, image_index, hidden])
+    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, page_index, filenames], outputs=[img_file_name, img_file_time, image_index, hidden])
     img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None)   
     hidden.change(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2])
     switch_dict["fn"](pnginfo_send_to_txt2img, switch_dict["t2i"], img_file_info, 'switch_to_txt2img')
     switch_dict["fn"](pnginfo_send_to_img2img, switch_dict["i2i"], img_file_info, 'switch_to_img2img_img2img')
 
+   
+
 def create_history_tabs(gr, sys_opts, run_pnginfo, switch_dict):
     global opts;
     opts = sys_opts
@@ -330,10 +400,11 @@ def create_history_tabs(gr, sys_opts, run_pnginfo, switch_dict):
     num_of_imgs_per_page = int(opts.images_history_num_per_page * opts.images_history_pages_num)
     with gr.Blocks(analytics_enabled=False) as images_history:
         with gr.Tabs() as tabs:
-            for tab in ["txt2img", "img2img", "extras", "saved"]:
+            for tab in [browser_tabname, "txt2img", "img2img", "extras", "saved"]:
                 with gr.Tab(tab):
-                    with gr.Blocks(analytics_enabled=False) as images_history_img2img:
+                    with gr.Blocks(analytics_enabled=False) :
                         show_images_history(gr, opts, tab, run_pnginfo, switch_dict) 
-        gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_reconstruct_directory", visible=False)
+        #gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_reconstruct_directory", visible=False)
+        gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_finish_render", visible=False)
     
     return images_history
diff --git a/modules/shared.py b/modules/shared.py
index c2ea4186..1811018d 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -309,10 +309,11 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
 }))
 
-options_templates.update(options_section(('images-history', "Images history"), {
-    "images_history_reconstruct_directory": OptionInfo(False, "Reconstruct output directory structure.This can greatly improve the speed of loading , but will change the original output directory structure"),
+options_templates.update(options_section(('images-history', "Images Browser"), {
+    #"images_history_reconstruct_directory": OptionInfo(False, "Reconstruct output directory structure.This can greatly improve the speed of loading , but will change the original output directory structure"),
     "images_history_num_per_page": OptionInfo(36, "Number of pictures displayed on each page"),
-    "images_history_pages_num": OptionInfo(6, "Maximum number of pages per load "),   
+    "images_history_pages_num": OptionInfo(6, "Minimum number of pages per load "),   
+    "images_history_grid_num": OptionInfo(6, "Number of grids in each row"),   
 
 }))
 
diff --git a/modules/ui.py b/modules/ui.py
index 43dc88fc..85abac4d 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1548,7 +1548,7 @@ Requested path was: {f}
         (img2img_interface, "img2img", "img2img"),
         (extras_interface, "Extras", "extras"),
         (pnginfo_interface, "PNG Info", "pnginfo"),
-        (images_history, "History", "images_history"),
+        (images_history, "Image Browser", "images_history"),
         (modelmerger_interface, "Checkpoint Merger", "modelmerger"),
         (train_interface, "Train", "ti"),
         (settings_interface, "Settings", "settings"),
diff --git a/uitest.bat b/uitest.bat
new file mode 100644
index 00000000..ae863af6
--- /dev/null
+++ b/uitest.bat
@@ -0,0 +1,2 @@
+venv\Scripts\python.exe uitest.py
+pause
diff --git a/uitest.py b/uitest.py
new file mode 100644
index 00000000..393e2d81
--- /dev/null
+++ b/uitest.py
@@ -0,0 +1,124 @@
+import os
+import threading
+import time
+import importlib
+import signal
+import threading
+
+from modules.paths import script_path
+
+from modules import devices, sd_samplers
+import modules.codeformer_model as codeformer
+import modules.extras
+import modules.face_restoration
+import modules.gfpgan_model as gfpgan
+import modules.img2img
+
+import modules.lowvram
+import modules.paths
+import modules.scripts
+import modules.sd_hijack
+import modules.sd_models
+import modules.shared as shared
+import modules.txt2img
+
+import modules.ui
+from modules import devices
+from modules import modelloader
+from modules.paths import script_path
+from modules.shared import cmd_opts
+
+modelloader.cleanup_models()
+modules.sd_models.setup_model()
+codeformer.setup_model(cmd_opts.codeformer_models_path)
+gfpgan.setup_model(cmd_opts.gfpgan_models_path)
+shared.face_restorers.append(modules.face_restoration.FaceRestoration())
+modelloader.load_upscalers()
+queue_lock = threading.Lock()
+
+
+def wrap_queued_call(func):
+    def f(*args, **kwargs):
+        with queue_lock:
+            res = func(*args, **kwargs)
+
+        return res
+
+    return f
+
+
+def wrap_gradio_gpu_call(func, extra_outputs=None):
+    def f(*args, **kwargs):
+        devices.torch_gc()
+
+        shared.state.sampling_step = 0
+        shared.state.job_count = -1
+        shared.state.job_no = 0
+        shared.state.job_timestamp = shared.state.get_job_timestamp()
+        shared.state.current_latent = None
+        shared.state.current_image = None
+        shared.state.current_image_sampling_step = 0
+        shared.state.interrupted = False
+        shared.state.textinfo = None
+
+        with queue_lock:
+            res = func(*args, **kwargs)
+
+        shared.state.job = ""
+        shared.state.job_count = 0
+
+        devices.torch_gc()
+
+        return res
+
+    return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
+
+
+modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
+
+shared.sd_model = None #modules.sd_models.load_model()
+#shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
+
+
+def webui():
+    # make the program just exit at ctrl+c without waiting for anything
+    def sigint_handler(sig, frame):
+        print(f'Interrupted with signal {sig} in {frame}')
+        os._exit(0)
+
+    signal.signal(signal.SIGINT, sigint_handler)
+
+    while 1:
+
+        demo = modules.ui.create_ui(wrap_gradio_gpu_call=wrap_gradio_gpu_call)
+        
+        demo.launch(
+            share=cmd_opts.share,
+            server_name="0.0.0.0" if cmd_opts.listen else None,
+            server_port=cmd_opts.port,
+            debug=cmd_opts.gradio_debug,
+            auth=[tuple(cred.split(':')) for cred in cmd_opts.gradio_auth.strip('"').split(',')] if cmd_opts.gradio_auth else None,
+            inbrowser=cmd_opts.autolaunch,
+            prevent_thread_lock=True
+        )
+
+        while 1:
+            time.sleep(0.5)
+            if getattr(demo, 'do_restart', False):
+                time.sleep(0.5)
+                demo.close()
+                time.sleep(0.5)
+                break
+
+        sd_samplers.set_samplers()
+
+        print('Reloading Custom Scripts')
+        modules.scripts.reload_scripts(os.path.join(script_path, "scripts"))
+        print('Reloading modules: modules.ui')
+        importlib.reload(modules.ui)
+        print('Restarting Gradio')
+
+
+
+if __name__ == "__main__":
+    webui()
\ No newline at end of file

From c6f778d9b19d7116ffb82718f6ca0b867e2f4445 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Tue, 18 Oct 2022 20:15:08 +0800
Subject: [PATCH 015/321] Image browser

---
 uitest.bat |   2 -
 uitest.py  | 124 -----------------------------------------------------
 2 files changed, 126 deletions(-)
 delete mode 100644 uitest.bat
 delete mode 100644 uitest.py

diff --git a/uitest.bat b/uitest.bat
deleted file mode 100644
index ae863af6..00000000
--- a/uitest.bat
+++ /dev/null
@@ -1,2 +0,0 @@
-venv\Scripts\python.exe uitest.py
-pause
diff --git a/uitest.py b/uitest.py
deleted file mode 100644
index 393e2d81..00000000
--- a/uitest.py
+++ /dev/null
@@ -1,124 +0,0 @@
-import os
-import threading
-import time
-import importlib
-import signal
-import threading
-
-from modules.paths import script_path
-
-from modules import devices, sd_samplers
-import modules.codeformer_model as codeformer
-import modules.extras
-import modules.face_restoration
-import modules.gfpgan_model as gfpgan
-import modules.img2img
-
-import modules.lowvram
-import modules.paths
-import modules.scripts
-import modules.sd_hijack
-import modules.sd_models
-import modules.shared as shared
-import modules.txt2img
-
-import modules.ui
-from modules import devices
-from modules import modelloader
-from modules.paths import script_path
-from modules.shared import cmd_opts
-
-modelloader.cleanup_models()
-modules.sd_models.setup_model()
-codeformer.setup_model(cmd_opts.codeformer_models_path)
-gfpgan.setup_model(cmd_opts.gfpgan_models_path)
-shared.face_restorers.append(modules.face_restoration.FaceRestoration())
-modelloader.load_upscalers()
-queue_lock = threading.Lock()
-
-
-def wrap_queued_call(func):
-    def f(*args, **kwargs):
-        with queue_lock:
-            res = func(*args, **kwargs)
-
-        return res
-
-    return f
-
-
-def wrap_gradio_gpu_call(func, extra_outputs=None):
-    def f(*args, **kwargs):
-        devices.torch_gc()
-
-        shared.state.sampling_step = 0
-        shared.state.job_count = -1
-        shared.state.job_no = 0
-        shared.state.job_timestamp = shared.state.get_job_timestamp()
-        shared.state.current_latent = None
-        shared.state.current_image = None
-        shared.state.current_image_sampling_step = 0
-        shared.state.interrupted = False
-        shared.state.textinfo = None
-
-        with queue_lock:
-            res = func(*args, **kwargs)
-
-        shared.state.job = ""
-        shared.state.job_count = 0
-
-        devices.torch_gc()
-
-        return res
-
-    return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
-
-
-modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
-
-shared.sd_model = None #modules.sd_models.load_model()
-#shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
-
-
-def webui():
-    # make the program just exit at ctrl+c without waiting for anything
-    def sigint_handler(sig, frame):
-        print(f'Interrupted with signal {sig} in {frame}')
-        os._exit(0)
-
-    signal.signal(signal.SIGINT, sigint_handler)
-
-    while 1:
-
-        demo = modules.ui.create_ui(wrap_gradio_gpu_call=wrap_gradio_gpu_call)
-        
-        demo.launch(
-            share=cmd_opts.share,
-            server_name="0.0.0.0" if cmd_opts.listen else None,
-            server_port=cmd_opts.port,
-            debug=cmd_opts.gradio_debug,
-            auth=[tuple(cred.split(':')) for cred in cmd_opts.gradio_auth.strip('"').split(',')] if cmd_opts.gradio_auth else None,
-            inbrowser=cmd_opts.autolaunch,
-            prevent_thread_lock=True
-        )
-
-        while 1:
-            time.sleep(0.5)
-            if getattr(demo, 'do_restart', False):
-                time.sleep(0.5)
-                demo.close()
-                time.sleep(0.5)
-                break
-
-        sd_samplers.set_samplers()
-
-        print('Reloading Custom Scripts')
-        modules.scripts.reload_scripts(os.path.join(script_path, "scripts"))
-        print('Reloading modules: modules.ui')
-        importlib.reload(modules.ui)
-        print('Restarting Gradio')
-
-
-
-if __name__ == "__main__":
-    webui()
\ No newline at end of file

From 684a31c4da673961ce9e3a384132fda5d1111ab8 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 21:50:34 +0900
Subject: [PATCH 016/321] update ko-KR.json

Translated all text on txt2img window, plus some extra
---
 localizations/ko-KR.json | 42 ++++++++++++++++++++++++++++++++++++----
 1 file changed, 38 insertions(+), 4 deletions(-)

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
index a4367dc5..c6e55bb1 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko-KR.json
@@ -4,9 +4,10 @@
   "×": "×",
   "❮": "❮",
   "❯": "❯",
-  "Loading...": "로딩중...",
-  "view": "",
-  "api": "api",
+  "Loading...": "",
+  "view": "api 보이기",
+  "hide": "api 숨기기",
+  "api": "",
   "•": "•",
   "txt2img": "텍스트→이미지",
   "img2img": "이미지→이미지",
@@ -50,7 +51,7 @@
   "Tiling": "타일링",
   "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
   "Highres. fix": "고해상도 보정",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Firstpass width": "초기 가로길이",
   "Firstpass height": "초기 세로길이",
   "Denoising strength": "디노이즈 강도",
@@ -81,5 +82,38 @@
   "Send to extras": "부가기능으로 전송",
   "Open images output directory": "이미지 저장 경로 열기",
   "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Prompt matrix": "프롬프트 매트릭스",
+  "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)": "(|)를 이용해 프롬프트를 분리할 시 첫 프롬프트를 제외하고 모든 프롬프트의 조합마다 이미지를 생성합니다. 첫 프롬프트는 모든 조합에 포함되게 됩니다.",
+  "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
+  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
+  "Show Textbox": "텍스트박스 보이기",
+  "File with inputs": "설정값 파일",
+  "Prompts": "프롬프트",
+  "X/Y plot": "X/Y 플롯",
+  "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
+  "X type": "X축",
+  "Y type": "Y축",
+  "X values": "X 설정값",
+  "Y values": "Y 설정값",
+  "Separate values for X axis using commas.": "쉼표로 X축에 적용할 값 분리",
+  "Separate values for Y axis using commas.": "쉼표로 Y축에 적용할 값 분리",
+  "Draw legend": "범례 그리기",
+  "Include Separate Images": "분리된 이미지 포함하기",
+  "Keep -1 for seeds": "시드값 -1로 유지",
+  "Var. seed": "바리에이션 시드",
+  "Var. strength": "바리에이션 강도",
+  "Steps": "스텝 수",
+  "Prompt S/R": "프롬프트 스타일 변경",
+  "Prompt order": "프롬프트 순서",
+  "Sampler": "샘플러",
+  "Checkpoint name": "체크포인트 이름",
+  "Hypernet str.": "하이퍼네트워크 강도",
+  "Sigma Churn": "시그마 섞기",
+  "Sigma min": "시그마 최솟값",
+  "Sigma max": "시그마 최댓값",
+  "Sigma noise": "시그마 노이즈",
+  "Clip skip": "클립 건너뛰기",
+  "Denoising": "디노이징",
+  "Nothing": "없음",
   "Always save all generated images": "생성된 이미지 항상 저장하기"
 }
\ No newline at end of file

From 4f4e7fed7e4910b165c651e7618eb8e47c57ddb5 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 22:12:41 +0900
Subject: [PATCH 017/321] update ko-KR.json

---
 localizations/ko-KR.json | 1 +
 1 file changed, 1 insertion(+)

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
index c6e55bb1..b263b13c 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko-KR.json
@@ -115,5 +115,6 @@
   "Clip skip": "클립 건너뛰기",
   "Denoising": "디노이징",
   "Nothing": "없음",
+  "Apply settings": "설정 적용하기",
   "Always save all generated images": "생성된 이미지 항상 저장하기"
 }
\ No newline at end of file

From b7e78ef692fe912916de6e54f6e2521b000d650c Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Tue, 18 Oct 2022 22:21:54 +0800
Subject: [PATCH 018/321] Image browser improve

---
 modules/images_history.py | 43 ++++++++++++++++++++-------------------
 1 file changed, 22 insertions(+), 21 deletions(-)

diff --git a/modules/images_history.py b/modules/images_history.py
index d56f3a25..a40cdc0e 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -100,14 +100,15 @@ def auto_sorting(dir_name):
         date_list.append(today)
     return sorted(date_list, reverse=True)
 
-def archive_images(dir_name, date_to):
-    
+def archive_images(dir_name, date_to):    
     filenames = []   
-    loads_num =int(opts.images_history_num_per_page * opts.images_history_pages_num)
+    batch_size =int(opts.images_history_num_per_page * opts.images_history_pages_num)
+    if batch_size <= 0:
+        batch_size = opts.images_history_num_per_page * 6
     today = time.strftime("%Y%m%d",time.localtime(time.time()))
     date_to = today if date_to is None  or date_to == "" else date_to
     date_to_bak = date_to 
-    if opts.images_history_reconstruct_directory:        
+    if False: #opts.images_history_reconstruct_directory:        
         date_list = auto_sorting(dir_name)               
         for date in date_list:
             if date <= date_to:
@@ -115,11 +116,13 @@ def archive_images(dir_name, date_to):
                 if date == today and not os.path.exists(path):
                     continue
                 filenames = traverse_all_files(path, filenames)
-            if len(filenames) > loads_num:            
+            if len(filenames) > batch_size:            
                 break
         filenames = sorted(filenames, key=lambda file: -os.path.getmtime(file))
     else:
-        filenames = traverse_all_files(dir_name, filenames)       
+        filenames = traverse_all_files(dir_name, filenames)  
+        total_num = len(filenames) 
+        batch_count = len(filenames) + 1 //  batch_size + 1
         tmparray = [(os.path.getmtime(file), file) for file in filenames ]
         date_stamp = time.mktime(time.strptime(date_to, "%Y%m%d")) + 86400      
         filenames = []
@@ -132,8 +135,8 @@ def archive_images(dir_name, date_to):
                 filenames.append((t, f ,date))
         date_list = sorted(list(date_list.keys()), reverse=True)
         sort_array = sorted(filenames, key=lambda x:-x[0])
-        if len(sort_array) > loads_num:
-            date = sort_array[loads_num][2]
+        if len(sort_array) > batch_size:
+            date = sort_array[batch_size][2]
             filenames = [x[1] for x in sort_array]
         else:
             date =  date_to if len(sort_array) == 0 else sort_array[-1][2]
@@ -141,9 +144,9 @@ def archive_images(dir_name, date_to):
         filenames = [x[1] for x in sort_array if x[2]>= date]   
     num = len(filenames)  
     last_date_from = date_to_bak if num == 0 else time.strftime("%Y%m%d", time.localtime(time.mktime(time.strptime(date, "%Y%m%d")) - 1000))
-    date = date[:4] + "-" + date[4:6] + "-" + date[6:8]
-    date_to_bak = date_to_bak[:4] + "-" + date_to_bak[4:6] + "-" + date_to_bak[6:8]
-    load_info = f"Loaded {(num + 1) // opts.images_history_pages_num} pades, {num} images, during {date} - {date_to_bak}"
+    date = date[:4] + "/" + date[4:6] + "/" + date[6:8]
+    date_to_bak = date_to_bak[:4] + "/" + date_to_bak[4:6] + "/" + date_to_bak[6:8]
+    load_info = f"{total_num} images in this directory. Loaded {num} images during {date} - {date_to_bak}, divided into {int((num + 1) // opts.images_history_num_per_page + 1)} pages"
     _, image_list, _, _, visible_num = get_recent_images(1, 0, filenames)
     return (
         gradio.Dropdown.update(choices=date_list, value=date_to),
@@ -154,12 +157,10 @@ def archive_images(dir_name, date_to):
         "",
         "",
         visible_num, 
-        last_date_from
+        last_date_from, 
+        #gradio.update(visible=batch_count > 1)
     )
 
-
-
-
 def delete_image(delete_num, name, filenames, image_index, visible_num):
     if name == "":
         return filenames, delete_num
@@ -295,16 +296,16 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
 
     with gr.Column() as page_panel:            
             with gr.Row():  
-                img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory") 
+                img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory", interactive=custom_dir) 
             with gr.Row(visible=False) as warning:                 
                 warning_box = gr.Textbox("Message", interactive=False)                        
 
             with gr.Row(visible=not custom_dir, elem_id=tabname + "_images_history") as main_panel:
                 with gr.Column(scale=2):                   
-                    with gr.Row():                    
-                        backward = gr.Button('Backward')         
-                        date_to = gr.Dropdown(label="Date to") 
-                        forward = gr.Button('Forward')  
+                    with gr.Row() as batch_panel:                    
+                        forward = gr.Button('Forward')        
+                        date_to = gr.Dropdown(label="Date to")
+                        backward = gr.Button('Backward')                           
                         newest = gr.Button('Reload', elem_id=tabname + "_images_history_start")   
                     with gr.Row():
                         load_info = gr.Textbox(show_label=False, interactive=False)  
@@ -335,7 +336,7 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
 
                             
                         # hiden items
-                        with gr.Row(): #visible=False):   
+                        with gr.Row(visible=False):   
                             visible_img_num = gr.Number()                     
                             date_to_recorder = gr.State([])
                             last_date_from = gr.Textbox()

From 538bc89c269743e56b07ef2b471d1ce0a39b6776 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Wed, 19 Oct 2022 11:27:51 +0800
Subject: [PATCH 019/321] Image browser improved

---
 javascript/images_history.js |  81 +++++++++++----------
 modules/images_history.py    | 133 +++++++++++++++++++----------------
 modules/shared.py            |   5 ++
 modules/ui.py                |   2 +-
 4 files changed, 119 insertions(+), 102 deletions(-)

diff --git a/javascript/images_history.js b/javascript/images_history.js
index 182d730b..c9aa76f8 100644
--- a/javascript/images_history.js
+++ b/javascript/images_history.js
@@ -17,14 +17,6 @@ var images_history_click_image = function(){
     images_history_set_image_info(this); 
 }
 
-var images_history_click_tab = function(){
-    var tabs_box = gradioApp().getElementById("images_history_tab");
-    if (!tabs_box.classList.contains(this.getAttribute("tabname"))) {
-        gradioApp().getElementById(this.getAttribute("tabname") + "_images_history_start").click();
-        tabs_box.classList.add(this.getAttribute("tabname"))
-    }                
-}
-
 function images_history_disabled_del(){
     gradioApp().querySelectorAll(".images_history_del_button").forEach(function(btn){
         btn.setAttribute('disabled','disabled');
@@ -145,57 +137,64 @@ function images_history_enable_del_buttons(){
 }
 
 function images_history_init(){ 
-    // var loaded = gradioApp().getElementById("images_history_reconstruct_directory")
-    // if (loaded){  
-        // var init_status = loaded.querySelector("input").checked 
-    if (gradioApp().getElementById("images_history_finish_render")){      
+    var tabnames = gradioApp().getElementById("images_history_tabnames_list")   
+    if (tabnames){  
+        images_history_tab_list = tabnames.querySelector("textarea").value.split(",")    
         for (var i in images_history_tab_list ){
-            tab = images_history_tab_list[i];
+            var tab = images_history_tab_list[i];
             gradioApp().getElementById(tab + '_images_history').classList.add("images_history_cantainor");
             gradioApp().getElementById(tab + '_images_history_set_index').classList.add("images_history_set_index");
             gradioApp().getElementById(tab + '_images_history_del_button').classList.add("images_history_del_button");
-            gradioApp().getElementById(tab + '_images_history_gallery').classList.add("images_history_gallery");            
-                     
+            gradioApp().getElementById(tab + '_images_history_gallery').classList.add("images_history_gallery");  
+             gradioApp().getElementById(tab + "_images_history_start").setAttribute("style","padding:20px;font-size:25px");           
         }
-        var tabs_box = gradioApp().getElementById("tab_images_history").querySelector("div").querySelector("div").querySelector("div");
-        tabs_box.setAttribute("id", "images_history_tab");        
-        var tab_btns = tabs_box.querySelectorAll("button"); 
 
-        for (var i in images_history_tab_list){               
-            var tabname = images_history_tab_list[i]
-            tab_btns[i].setAttribute("tabname", tabname);
-            // if (!init_status){
-            //     tab_btns[i].addEventListener('click', images_history_click_tab);
-            // }
-            tab_btns[i].addEventListener('click', images_history_click_tab);
-        }  
+        //preload
+        if (gradioApp().getElementById("images_history_preload").querySelector("input").checked ){
+            var tabs_box = gradioApp().getElementById("tab_images_history").querySelector("div").querySelector("div").querySelector("div");
+            tabs_box.setAttribute("id", "images_history_tab");        
+            var tab_btns = tabs_box.querySelectorAll("button"); 
+            for (var i in images_history_tab_list){               
+                var tabname = images_history_tab_list[i]
+                tab_btns[i].setAttribute("tabname", tabname);
+                tab_btns[i].addEventListener('click', function(){
+                    var tabs_box = gradioApp().getElementById("images_history_tab");
+                    if (!tabs_box.classList.contains(this.getAttribute("tabname"))) {
+                        gradioApp().getElementById(this.getAttribute("tabname") + "_images_history_start").click();
+                        tabs_box.classList.add(this.getAttribute("tabname"))
+                    }                
+                });
+            }            
+            tab_btns[0].click()
+        }
     } else {
         setTimeout(images_history_init, 500);
     } 
 }
 
-var images_history_tab_list = ["custom", "txt2img", "img2img", "extras", "saved"];
+var images_history_tab_list = "";
 setTimeout(images_history_init, 500);
 document.addEventListener("DOMContentLoaded", function() {
     var mutationObserver = new MutationObserver(function(m){
-        for (var i in images_history_tab_list ){
-            let tabname = images_history_tab_list[i]
-            var buttons = gradioApp().querySelectorAll('#' + tabname + '_images_history .gallery-item');
-            buttons.forEach(function(bnt){    
-                bnt.addEventListener('click', images_history_click_image, true);
-            });
+        if (images_history_tab_list != ""){
+            for (var i in images_history_tab_list ){
+                let tabname = images_history_tab_list[i]
+                var buttons = gradioApp().querySelectorAll('#' + tabname + '_images_history .gallery-item');
+                buttons.forEach(function(bnt){    
+                    bnt.addEventListener('click', images_history_click_image, true);
+                });
 
-            var cls_btn = gradioApp().getElementById(tabname + '_images_history_gallery').querySelector("svg");
-            if (cls_btn){
-                cls_btn.addEventListener('click', function(){
-                    gradioApp().getElementById(tabname + '_images_history_del_button').setAttribute('disabled','disabled');
-                }, false);
-            }
+                var cls_btn = gradioApp().getElementById(tabname + '_images_history_gallery').querySelector("svg");
+                if (cls_btn){
+                    cls_btn.addEventListener('click', function(){
+                        gradioApp().getElementById(tabname + '_images_history_renew_page').click();
+                    }, false);
+                }
 
-        }     
+            }     
+        }
     });
     mutationObserver.observe(gradioApp(), { childList:true, subtree:true });
-
 });
 
 
diff --git a/modules/images_history.py b/modules/images_history.py
index a40cdc0e..78fd0543 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -4,7 +4,9 @@ import time
 import hashlib
 import gradio
 system_bak_path = "webui_log_and_bak"
-browser_tabname = "custom"
+custom_tab_name = "custom fold"
+faverate_tab_name = "favorites"
+tabs_list = ["txt2img", "img2img", "extras", faverate_tab_name]
 def is_valid_date(date):
     try:
         time.strptime(date, "%Y%m%d")
@@ -122,7 +124,6 @@ def archive_images(dir_name, date_to):
     else:
         filenames = traverse_all_files(dir_name, filenames)  
         total_num = len(filenames) 
-        batch_count = len(filenames) + 1 //  batch_size + 1
         tmparray = [(os.path.getmtime(file), file) for file in filenames ]
         date_stamp = time.mktime(time.strptime(date_to, "%Y%m%d")) + 86400      
         filenames = []
@@ -146,10 +147,12 @@ def archive_images(dir_name, date_to):
     last_date_from = date_to_bak if num == 0 else time.strftime("%Y%m%d", time.localtime(time.mktime(time.strptime(date, "%Y%m%d")) - 1000))
     date = date[:4] + "/" + date[4:6] + "/" + date[6:8]
     date_to_bak = date_to_bak[:4] + "/" + date_to_bak[4:6] + "/" + date_to_bak[6:8]
-    load_info = f"{total_num} images in this directory. Loaded {num} images during {date} - {date_to_bak}, divided into {int((num + 1) // opts.images_history_num_per_page + 1)} pages"
+    load_info = "<div style='color:#999' align='center'>"
+    load_info += f"{total_num} images in this directory. Loaded {num} images during {date} - {date_to_bak}, divided into {int((num + 1) // opts.images_history_num_per_page + 1)} pages"
+    load_info += "</div>"
     _, image_list, _, _, visible_num = get_recent_images(1, 0, filenames)
     return (
-        gradio.Dropdown.update(choices=date_list, value=date_to),
+        date_to,
         load_info,
         filenames,        
         1,
@@ -158,7 +161,7 @@ def archive_images(dir_name, date_to):
         "",
         visible_num, 
         last_date_from, 
-        #gradio.update(visible=batch_count > 1)
+        gradio.update(visible=total_num > num)
     )
 
 def delete_image(delete_num, name, filenames, image_index, visible_num):
@@ -209,7 +212,7 @@ def get_recent_images(page_index, step, filenames):
     visible_num = num_of_imgs_per_page if visible_num == 0 else visible_num
     return page_index, image_list,  "", "",  visible_num
 
-def newest_click(date_to):
+def loac_batch_click(date_to):
     if date_to is None:
         return time.strftime("%Y%m%d",time.localtime(time.time())), []
     else:
@@ -248,7 +251,7 @@ def page_index_change(page_index, filenames):
 
 def show_image_info(tabname_box, num, page_index, filenames):
     file = filenames[int(num) + int((page_index - 1) * int(opts.images_history_num_per_page))]   
-    tm =   time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(os.path.getmtime(file)))
+    tm =   "<div style='color:#999' align='right'>" + time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(os.path.getmtime(file))) + "</div>"
     return file, tm, num, file
 
 def enable_page_buttons():
@@ -268,9 +271,9 @@ def change_dir(img_dir, date_to):
         warning = "The format of the directory is incorrect"
     if warning is None:        
         today = time.strftime("%Y%m%d",time.localtime(time.time()))
-        return gradio.update(visible=False), gradio.update(visible=True), None,   None if date_to != today else today
+        return gradio.update(visible=False), gradio.update(visible=True), None,   None if date_to != today else today, gradio.update(visible=True), gradio.update(visible=True)
     else:
-        return gradio.update(visible=True), gradio.update(visible=False), warning, date_to
+        return gradio.update(visible=True), gradio.update(visible=False), warning, date_to, gradio.update(visible=False), gradio.update(visible=False)
 
 def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
     custom_dir = False
@@ -280,7 +283,7 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
         dir_name = opts.outdir_img2img_samples
     elif tabname == "extras":
         dir_name = opts.outdir_extras_samples
-    elif tabname == "saved":
+    elif tabname == faverate_tab_name:
         dir_name = opts.outdir_save
     else:
         custom_dir = True
@@ -295,22 +298,26 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
             os.makedirs(dir_name)
 
     with gr.Column() as page_panel:            
-            with gr.Row():  
-                img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory", interactive=custom_dir) 
+            with gr.Row():                
+                with gr.Column(scale=1, visible=not custom_dir) as load_batch_box: 
+                    load_batch = gr.Button('Load', elem_id=tabname + "_images_history_start", full_width=True)    
+                with gr.Column(scale=4): 
+                    with gr.Row():                        
+                        img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory", interactive=custom_dir)  
+            with gr.Row():
+                with gr.Column(visible=False, scale=1) as batch_panel: 
+                    with gr.Row():
+                        forward = gr.Button('Prev batch')
+                        backward = gr.Button('Next batch')
+                with gr.Column(scale=3):
+                    load_info =  gr.HTML(visible=not custom_dir)   
             with gr.Row(visible=False) as warning:                 
                 warning_box = gr.Textbox("Message", interactive=False)                        
 
             with gr.Row(visible=not custom_dir, elem_id=tabname + "_images_history") as main_panel:
-                with gr.Column(scale=2):                   
-                    with gr.Row() as batch_panel:                    
-                        forward = gr.Button('Forward')        
-                        date_to = gr.Dropdown(label="Date to")
-                        backward = gr.Button('Backward')                           
-                        newest = gr.Button('Reload', elem_id=tabname + "_images_history_start")   
-                    with gr.Row():
-                        load_info = gr.Textbox(show_label=False, interactive=False)  
-                    with gr.Row(visible=False) as turn_page_buttons:
-                        renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
+                with gr.Column(scale=2):                     
+                    with gr.Row(visible=True) as turn_page_buttons:                        
+                        #date_to = gr.Dropdown(label="Date to")                          
                         first_page = gr.Button('First Page')
                         prev_page = gr.Button('Prev Page')
                         page_index = gr.Number(value=1, label="Page Index")
@@ -322,50 +329,54 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
                         delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next")
                         delete = gr.Button('Delete', elem_id=tabname + "_images_history_del_button")
                         
-                with gr.Column():
-                    with gr.Row():
-                        if tabname != "saved":
-                            save_btn = gr.Button('Save')
-                        pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
-                        pnginfo_send_to_img2img = gr.Button('Send to img2img')
+                with gr.Column():                    
                     with gr.Row():
                         with gr.Column():
-                            img_file_info = gr.Textbox(label="Generate Info", interactive=False)
+                            img_file_info = gr.Textbox(label="Generate Info", interactive=False, lines=6)
+                            gr.HTML("<hr>")                           
                             img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
-                            img_file_time= gr.Textbox(value="", label="Create Time", interactive=False)
-
+                            img_file_time= gr.HTML()
+                    with gr.Row():
+                        if tabname != faverate_tab_name:
+                            save_btn = gr.Button('Collect')
+                        pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
+                        pnginfo_send_to_img2img = gr.Button('Send to img2img')
+                           
                             
-                        # hiden items
-                        with gr.Row(visible=False):   
-                            visible_img_num = gr.Number()                     
-                            date_to_recorder = gr.State([])
-                            last_date_from = gr.Textbox()
-                            tabname_box = gr.Textbox(tabname)
-                            image_index = gr.Textbox(value=-1)
-                            set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
-                            filenames = gr.State()
-                            all_images_list = gr.State()
-                            hidden = gr.Image(type="pil")
-                            info1 = gr.Textbox()
-                            info2 = gr.Textbox()
+                    # hiden items
+                    with gr.Row(visible=False): 
+                        renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
+                        batch_date_to = gr.Textbox(label="Date to")  
+                        visible_img_num = gr.Number()                     
+                        date_to_recorder = gr.State([])
+                        last_date_from = gr.Textbox()
+                        tabname_box = gr.Textbox(tabname)
+                        image_index = gr.Textbox(value=-1)
+                        set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
+                        filenames = gr.State()
+                        all_images_list = gr.State()
+                        hidden = gr.Image(type="pil")
+                        info1 = gr.Textbox()
+                        info2 = gr.Textbox()
 
-    img_path.submit(change_dir, inputs=[img_path, date_to], outputs=[warning, main_panel, warning_box, date_to])
-    #change date
-    change_date_output = [date_to, load_info, filenames, page_index, history_gallery, img_file_name, img_file_time, visible_img_num, last_date_from]  
+    img_path.submit(change_dir, inputs=[img_path, batch_date_to], outputs=[warning, main_panel, warning_box, batch_date_to, load_batch_box, load_info])
+
+    #change batch
+    change_date_output = [batch_date_to, load_info, filenames, page_index, history_gallery, img_file_name, img_file_time, visible_img_num, last_date_from,  batch_panel]  
    
-    date_to.change(archive_images, inputs=[img_path, date_to], outputs=change_date_output)   
-    date_to.change(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])  
-    date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")  
+    batch_date_to.change(archive_images, inputs=[img_path, batch_date_to], outputs=change_date_output)   
+    batch_date_to.change(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])  
+    batch_date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")  
 
-    newest.click(newest_click, inputs=[date_to], outputs=[date_to, date_to_recorder])
-    forward.click(forward_click, inputs=[last_date_from, date_to_recorder], outputs=[date_to, date_to_recorder])
-    backward.click(backward_click, inputs=[last_date_from, date_to_recorder], outputs=[date_to, date_to_recorder])
+    load_batch.click(loac_batch_click, inputs=[batch_date_to], outputs=[batch_date_to, date_to_recorder])
+    forward.click(forward_click, inputs=[last_date_from, date_to_recorder], outputs=[batch_date_to, date_to_recorder])
+    backward.click(backward_click, inputs=[last_date_from, date_to_recorder], outputs=[batch_date_to, date_to_recorder])
 
 
     #delete
     delete.click(delete_image, inputs=[delete_num, img_file_name, filenames, image_index, visible_img_num], outputs=[filenames, delete_num, visible_img_num])
     delete.click(fn=None, _js="images_history_delete", inputs=[delete_num, tabname_box, image_index], outputs=None) 
-    if tabname != "saved": 
+    if tabname != faverate_tab_name: 
         save_btn.click(save_image, inputs=[img_file_name], outputs=None)     
 
     #turn page
@@ -394,18 +405,20 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
 
    
 
-def create_history_tabs(gr, sys_opts, run_pnginfo, switch_dict):
+def create_history_tabs(gr, sys_opts, cmp_ops, run_pnginfo, switch_dict):
     global opts;
     opts = sys_opts
     loads_files_num = int(opts.images_history_num_per_page)
     num_of_imgs_per_page = int(opts.images_history_num_per_page * opts.images_history_pages_num)
+    if cmp_ops.browse_all_images:
+        tabs_list.append(custom_tab_name)
     with gr.Blocks(analytics_enabled=False) as images_history:
         with gr.Tabs() as tabs:
-            for tab in [browser_tabname, "txt2img", "img2img", "extras", "saved"]:
+            for tab in tabs_list:
                 with gr.Tab(tab):
                     with gr.Blocks(analytics_enabled=False) :
-                        show_images_history(gr, opts, tab, run_pnginfo, switch_dict) 
-        #gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_reconstruct_directory", visible=False)
-        gradio.Checkbox(opts.images_history_reconstruct_directory, elem_id="images_history_finish_render", visible=False)
-    
+                        show_images_history(gr, opts, tab, run_pnginfo, switch_dict)
+        gradio.Checkbox(opts.images_history_preload, elem_id="images_history_preload", visible=False)         
+        gradio.Textbox(",".join(tabs_list), elem_id="images_history_tabnames_list", visible=False)    
+        
     return images_history
diff --git a/modules/shared.py b/modules/shared.py
index 1811018d..4d735414 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -74,6 +74,10 @@ parser.add_argument("--disable-console-progressbars", action='store_true', help=
 parser.add_argument("--enable-console-prompts", action='store_true', help="print prompts to console when generating with txt2img and img2img", default=False)
 parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencoders model', default=None)
 parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
+parser.add_argument("--browse-all-images", action='store_true', help="Allow browsing all images by Image Browser", default=False)
+
+
+cmd_opts = parser.parse_args()
 
 
 cmd_opts = parser.parse_args()
@@ -311,6 +315,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
 
 options_templates.update(options_section(('images-history', "Images Browser"), {
     #"images_history_reconstruct_directory": OptionInfo(False, "Reconstruct output directory structure.This can greatly improve the speed of loading , but will change the original output directory structure"),
+    "images_history_preload": OptionInfo(False, "Preload images at startup"),
     "images_history_num_per_page": OptionInfo(36, "Number of pictures displayed on each page"),
     "images_history_pages_num": OptionInfo(6, "Minimum number of pages per load "),   
     "images_history_grid_num": OptionInfo(6, "Number of grids in each row"),   
diff --git a/modules/ui.py b/modules/ui.py
index 85abac4d..88f46659 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1150,7 +1150,7 @@ def create_ui(wrap_gradio_gpu_call):
         "i2i":img2img_paste_fields
     }
 
-    images_history = img_his.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
+    images_history = img_his.create_history_tabs(gr, opts, cmd_opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
 
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):

From abeec4b63029c2c4151a78fc395d312113881845 Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Wed, 19 Oct 2022 03:18:26 -0700
Subject: [PATCH 020/321] Add auto focal point cropping to Preprocess images

This algorithm plots a bunch of points of interest on the source
image and averages their locations to find a center.

Most points come from OpenCV.  One point comes from an
entropy model. OpenCV points account for 50% of the weight and the
entropy based point is the other 50%.

The center of all weighted points is calculated and a bounding box
is drawn as close to centered over that point as possible.
---
 modules/textual_inversion/preprocess.py | 151 +++++++++++++++++++++++-
 1 file changed, 146 insertions(+), 5 deletions(-)

diff --git a/modules/textual_inversion/preprocess.py b/modules/textual_inversion/preprocess.py
index 886cf0c3..168bfb09 100644
--- a/modules/textual_inversion/preprocess.py
+++ b/modules/textual_inversion/preprocess.py
@@ -1,5 +1,7 @@
 import os
-from PIL import Image, ImageOps
+import cv2
+import numpy as np
+from PIL import Image, ImageOps, ImageDraw
 import platform
 import sys
 import tqdm
@@ -11,7 +13,7 @@ if cmd_opts.deepdanbooru:
     import modules.deepbooru as deepbooru
 
 
-def preprocess(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False):
+def preprocess(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False, process_entropy_focus=False):
     try:
         if process_caption:
             shared.interrogator.load()
@@ -21,7 +23,7 @@ def preprocess(process_src, process_dst, process_width, process_height, process_
             db_opts[deepbooru.OPT_INCLUDE_RANKS] = False
             deepbooru.create_deepbooru_process(opts.interrogate_deepbooru_score_threshold, db_opts)
 
-        preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru)
+        preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru, process_entropy_focus)
 
     finally:
 
@@ -33,7 +35,7 @@ def preprocess(process_src, process_dst, process_width, process_height, process_
 
 
 
-def preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False):
+def preprocess_work(process_src, process_dst, process_width, process_height, process_flip, process_split, process_caption, process_caption_deepbooru=False, process_entropy_focus=False):
     width = process_width
     height = process_height
     src = os.path.abspath(process_src)
@@ -93,6 +95,8 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
         is_tall = ratio > 1.35
         is_wide = ratio < 1 / 1.35
 
+        processing_option_ran = False
+
         if process_split and is_tall:
             img = img.resize((width, height * img.height // img.width))
 
@@ -101,6 +105,8 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
 
             bot = img.crop((0, img.height - height, width, img.height))
             save_pic(bot, index)
+
+            processing_option_ran = True
         elif process_split and is_wide:
             img = img.resize((width * img.width // img.height, height))
 
@@ -109,8 +115,143 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
 
             right = img.crop((img.width - width, 0, img.width, height))
             save_pic(right, index)
-        else:
+            
+            processing_option_ran = True
+
+        if process_entropy_focus and (is_tall or is_wide):
+            if is_tall:
+                img = img.resize((width, height * img.height // img.width))
+            else:
+                img = img.resize((width * img.width // img.height, height))
+
+            x_focal_center, y_focal_center = image_central_focal_point(img, width, height)
+
+            # take the focal point and turn it into crop coordinates that try to center over the focal
+            # point but then get adjusted back into the frame
+            y_half = int(height / 2)
+            x_half = int(width / 2)
+
+            x1 = x_focal_center - x_half
+            if x1 < 0:
+                x1 = 0
+            elif x1 + width > img.width:
+                x1 = img.width - width
+
+            y1 = y_focal_center - y_half
+            if y1 < 0:
+                y1 = 0
+            elif y1 + height > img.height:
+                y1 = img.height - height
+
+            x2 = x1 + width
+            y2 = y1 + height
+
+            crop = [x1, y1, x2, y2]
+
+            focal = img.crop(tuple(crop))
+            save_pic(focal, index)
+
+            processing_option_ran = True
+
+        if not processing_option_ran:
             img = images.resize_image(1, img, width, height)
             save_pic(img, index)
 
         shared.state.nextjob()
+
+
+def image_central_focal_point(im, target_width, target_height):
+    focal_points = []
+
+    focal_points.extend(
+        image_focal_points(im)
+    )
+
+    fp_entropy = image_entropy_point(im, target_width, target_height)
+    fp_entropy['weight'] = len(focal_points) + 1 # about half of the weight to entropy
+
+    focal_points.append(fp_entropy)
+
+    weight = 0.0
+    x = 0.0
+    y = 0.0
+    for focal_point in focal_points:
+        weight += focal_point['weight']
+        x += focal_point['x'] * focal_point['weight']
+        y += focal_point['y'] * focal_point['weight']
+    avg_x = round(x // weight)
+    avg_y = round(y // weight)
+
+    return avg_x, avg_y
+
+
+def image_focal_points(im):
+    grayscale = im.convert("L")
+
+    # naive attempt at preventing focal points from collecting at watermarks near the bottom
+    gd = ImageDraw.Draw(grayscale)
+    gd.rectangle([0, im.height*.9, im.width, im.height], fill="#999")
+
+    np_im = np.array(grayscale)
+
+    points = cv2.goodFeaturesToTrack(
+        np_im,
+        maxCorners=50,
+        qualityLevel=0.04,
+        minDistance=min(grayscale.width, grayscale.height)*0.05,
+        useHarrisDetector=False,
+    )
+
+    if points is None:
+        return []
+
+    focal_points = []
+    for point in points:
+        x, y = point.ravel()
+        focal_points.append({
+            'x': x,
+            'y': y,
+            'weight': 1.0
+        })
+
+    return focal_points
+
+
+def image_entropy_point(im, crop_width, crop_height):
+    img = im.copy()
+    # just make it easier to slide the test crop with images oriented the same way
+    if (img.size[0] < img.size[1]):
+        portrait = True
+        img = img.rotate(90, expand=1)
+
+    e_max = 0
+    crop_current = [0, 0, crop_width, crop_height]
+    crop_best = crop_current
+    while crop_current[2] < img.size[0]:
+        crop = img.crop(tuple(crop_current))
+        e = image_entropy(crop)
+
+        if (e_max < e):
+          e_max = e
+          crop_best = list(crop_current)
+
+        crop_current[0] += 4
+        crop_current[2] += 4
+
+    x_mid = int((crop_best[2] - crop_best[0])/2)
+    y_mid = int((crop_best[3] - crop_best[1])/2)
+
+    return {
+        'x': x_mid,
+        'y': y_mid,
+        'weight': 1.0
+    }
+
+
+def image_entropy(im):
+    # greyscale image entropy
+    band = np.asarray(im.convert("L"))
+    hist, _ = np.histogram(band, bins=range(0, 256))
+    hist = hist[hist > 0]
+    return -np.log2(hist / hist.sum()).sum()
+

From 087609ee181a91a523647435ffffa6288a317e2f Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Wed, 19 Oct 2022 03:19:35 -0700
Subject: [PATCH 021/321] UI changes for focal point image cropping

---
 modules/ui.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/modules/ui.py b/modules/ui.py
index 1ff7eb4f..b6be713b 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1234,6 +1234,7 @@ def create_ui(wrap_gradio_gpu_call):
                     with gr.Row():
                         process_flip = gr.Checkbox(label='Create flipped copies')
                         process_split = gr.Checkbox(label='Split oversized images into two')
+                        process_entropy_focus = gr.Checkbox(label='Create auto focal point crop')
                         process_caption = gr.Checkbox(label='Use BLIP for caption')
                         process_caption_deepbooru = gr.Checkbox(label='Use deepbooru for caption', visible=True if cmd_opts.deepdanbooru else False)
 
@@ -1318,7 +1319,8 @@ def create_ui(wrap_gradio_gpu_call):
                 process_flip,
                 process_split,
                 process_caption,
-                process_caption_deepbooru
+                process_caption_deepbooru,
+                process_entropy_focus
             ],
             outputs=[
                 ti_output,

From 41e3877be2c667316515c86037413763eb0ba4da Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Wed, 19 Oct 2022 13:44:59 -0700
Subject: [PATCH 022/321] fix entropy point calculation

---
 modules/textual_inversion/preprocess.py | 34 ++++++++++++++-----------
 1 file changed, 19 insertions(+), 15 deletions(-)

diff --git a/modules/textual_inversion/preprocess.py b/modules/textual_inversion/preprocess.py
index 168bfb09..7c1a594e 100644
--- a/modules/textual_inversion/preprocess.py
+++ b/modules/textual_inversion/preprocess.py
@@ -196,9 +196,9 @@ def image_focal_points(im):
 
     points = cv2.goodFeaturesToTrack(
         np_im,
-        maxCorners=50,
+        maxCorners=100,
         qualityLevel=0.04,
-        minDistance=min(grayscale.width, grayscale.height)*0.05,
+        minDistance=min(grayscale.width, grayscale.height)*0.07,
         useHarrisDetector=False,
     )
 
@@ -218,28 +218,32 @@ def image_focal_points(im):
 
 
 def image_entropy_point(im, crop_width, crop_height):
-    img = im.copy()
-    # just make it easier to slide the test crop with images oriented the same way
-    if (img.size[0] < img.size[1]):
-        portrait = True
-        img = img.rotate(90, expand=1)
+    landscape = im.height < im.width
+    portrait = im.height > im.width
+    if landscape:
+      move_idx = [0, 2]
+      move_max = im.size[0]
+    elif portrait:
+      move_idx = [1, 3]
+      move_max = im.size[1]
 
     e_max = 0
     crop_current = [0, 0, crop_width, crop_height]
     crop_best = crop_current
-    while crop_current[2] < img.size[0]:
-        crop = img.crop(tuple(crop_current))
+    while crop_current[move_idx[1]] < move_max:
+        crop = im.crop(tuple(crop_current))
         e = image_entropy(crop)
 
-        if (e_max < e):
+        if (e > e_max):
           e_max = e
           crop_best = list(crop_current)
 
-        crop_current[0] += 4
-        crop_current[2] += 4
+        crop_current[move_idx[0]] += 4
+        crop_current[move_idx[1]] += 4
+
+    x_mid = int(crop_best[0] + crop_width/2)
+    y_mid = int(crop_best[1] + crop_height/2)
 
-    x_mid = int((crop_best[2] - crop_best[0])/2)
-    y_mid = int((crop_best[3] - crop_best[1])/2)
 
     return {
         'x': x_mid,
@@ -250,7 +254,7 @@ def image_entropy_point(im, crop_width, crop_height):
 
 def image_entropy(im):
     # greyscale image entropy
-    band = np.asarray(im.convert("L"))
+    band = np.asarray(im.convert("1"))
     hist, _ = np.histogram(band, bins=range(0, 256))
     hist = hist[hist > 0]
     return -np.log2(hist / hist.sum()).sum()

From 59ed74438318af893d2cba552b0e28dbc2a9266c Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Wed, 19 Oct 2022 17:19:02 -0700
Subject: [PATCH 023/321] face detection algo, configurability, reusability

Try to move the crop in the direction of a face if it is present

More internal configuration options for choosing weights of each of the algorithm's findings

Move logic into its module
---
 modules/textual_inversion/autocrop.py   | 216 ++++++++++++++++++++++++
 modules/textual_inversion/preprocess.py | 150 ++--------------
 2 files changed, 230 insertions(+), 136 deletions(-)
 create mode 100644 modules/textual_inversion/autocrop.py

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
new file mode 100644
index 00000000..f858a958
--- /dev/null
+++ b/modules/textual_inversion/autocrop.py
@@ -0,0 +1,216 @@
+import cv2
+from collections import defaultdict
+from math import log, sqrt
+import numpy as np
+from PIL import Image, ImageDraw
+
+GREEN = "#0F0"
+BLUE = "#00F"
+RED = "#F00"
+
+def crop_image(im, settings):
+  """ Intelligently crop an image to the subject matter """
+  if im.height > im.width:
+      im = im.resize((settings.crop_width, settings.crop_height * im.height // im.width))
+  else:
+      im = im.resize((settings.crop_width * im.width // im.height, settings.crop_height))
+
+  focus = focal_point(im, settings)
+
+  # take the focal point and turn it into crop coordinates that try to center over the focal
+  # point but then get adjusted back into the frame
+  y_half = int(settings.crop_height / 2)
+  x_half = int(settings.crop_width / 2)
+
+  x1 = focus.x - x_half
+  if x1 < 0:
+      x1 = 0
+  elif x1 + settings.crop_width > im.width:
+      x1 = im.width - settings.crop_width
+
+  y1 = focus.y - y_half
+  if y1 < 0:
+      y1 = 0
+  elif y1 + settings.crop_height > im.height:
+      y1 = im.height - settings.crop_height
+
+  x2 = x1 + settings.crop_width
+  y2 = y1 + settings.crop_height
+
+  crop = [x1, y1, x2, y2]
+
+  if settings.annotate_image:
+    d = ImageDraw.Draw(im)
+    rect = list(crop)
+    rect[2] -= 1
+    rect[3] -= 1
+    d.rectangle(rect, outline=GREEN)
+    if settings.destop_view_image:
+      im.show()
+
+  return im.crop(tuple(crop))
+
+def focal_point(im, settings):
+    corner_points = image_corner_points(im, settings)
+    entropy_points = image_entropy_points(im, settings)
+    face_points = image_face_points(im, settings)
+
+    total_points = len(corner_points) + len(entropy_points) + len(face_points)
+
+    corner_weight = settings.corner_points_weight
+    entropy_weight = settings.entropy_points_weight
+    face_weight = settings.face_points_weight
+
+    weight_pref_total = corner_weight + entropy_weight + face_weight
+
+    # weight things
+    pois = []
+    if weight_pref_total == 0 or total_points == 0: 
+      return pois
+
+    pois.extend(
+      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (corner_weight/weight_pref_total) / (len(corner_points)/total_points) )) for p in corner_points ]
+    )
+    pois.extend(
+      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (entropy_weight/weight_pref_total) / (len(entropy_points)/total_points) )) for p in entropy_points ]
+    )
+    pois.extend(
+      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (face_weight/weight_pref_total) / (len(face_points)/total_points) )) for p in face_points ]
+    )
+
+    if settings.annotate_image:
+      d = ImageDraw.Draw(im)
+
+    average_point = poi_average(pois, settings, im=im)
+
+    if settings.annotate_image:
+      d.ellipse([average_point.x - 25, average_point.y - 25, average_point.x + 25, average_point.y + 25], outline=GREEN)
+      
+    return average_point
+
+
+def image_face_points(im, settings):
+    np_im = np.array(im)
+    gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
+    classifier = cv2.CascadeClassifier(f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml')
+
+    minsize = int(min(im.width, im.height) * 0.15) # at least N percent of the smallest side
+    faces = classifier.detectMultiScale(gray, scaleFactor=1.05,
+      minNeighbors=5, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
+
+    if len(faces) == 0:
+      return []
+
+    rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
+    if settings.annotate_image:
+      for f in rects:
+        d = ImageDraw.Draw(im)
+        d.rectangle(f, outline=RED)
+    
+    return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2) for r in rects]
+
+
+def image_corner_points(im, settings):
+    grayscale = im.convert("L")
+
+    # naive attempt at preventing focal points from collecting at watermarks near the bottom
+    gd = ImageDraw.Draw(grayscale)
+    gd.rectangle([0, im.height*.9, im.width, im.height], fill="#999")
+
+    np_im = np.array(grayscale)
+
+    points = cv2.goodFeaturesToTrack(
+        np_im,
+        maxCorners=100,
+        qualityLevel=0.04,
+        minDistance=min(grayscale.width, grayscale.height)*0.07,
+        useHarrisDetector=False,
+    )
+
+    if points is None:
+        return []
+
+    focal_points = []
+    for point in points:
+        x, y = point.ravel()
+        focal_points.append(PointOfInterest(x, y))
+
+    return focal_points
+
+
+def image_entropy_points(im, settings):
+    landscape = im.height < im.width
+    portrait = im.height > im.width
+    if landscape:
+      move_idx = [0, 2]
+      move_max = im.size[0]
+    elif portrait:
+      move_idx = [1, 3]
+      move_max = im.size[1]
+    else:
+      return []
+
+    e_max = 0
+    crop_current = [0, 0, settings.crop_width, settings.crop_height]
+    crop_best = crop_current
+    while crop_current[move_idx[1]] < move_max:
+        crop = im.crop(tuple(crop_current))
+        e = image_entropy(crop)
+
+        if (e > e_max):
+          e_max = e
+          crop_best = list(crop_current)
+
+        crop_current[move_idx[0]] += 4
+        crop_current[move_idx[1]] += 4
+
+    x_mid = int(crop_best[0] + settings.crop_width/2)
+    y_mid = int(crop_best[1] + settings.crop_height/2)
+
+    return [PointOfInterest(x_mid, y_mid)]
+
+
+def image_entropy(im):
+    # greyscale image entropy
+    band = np.asarray(im.convert("1"))
+    hist, _ = np.histogram(band, bins=range(0, 256))
+    hist = hist[hist > 0]
+    return -np.log2(hist / hist.sum()).sum()
+
+
+def poi_average(pois, settings, im=None):
+    weight = 0.0
+    x = 0.0
+    y = 0.0
+    for pois in pois:
+        if settings.annotate_image and im is not None:
+          w = 4 * 0.5 * sqrt(pois.weight)
+          d = ImageDraw.Draw(im)
+          d.ellipse([
+            pois.x - w, pois.y - w,
+            pois.x + w, pois.y + w ], fill=BLUE)
+        weight += pois.weight
+        x += pois.x * pois.weight
+        y += pois.y * pois.weight
+    avg_x = round(x / weight)
+    avg_y = round(y / weight)
+
+    return PointOfInterest(avg_x, avg_y)
+
+
+class PointOfInterest:
+  def __init__(self, x, y, weight=1.0):
+    self.x = x
+    self.y = y
+    self.weight = weight
+
+
+class Settings:
+  def __init__(self, crop_width=512, crop_height=512, corner_points_weight=0.5, entropy_points_weight=0.5, face_points_weight=0.5, annotate_image=False):
+    self.crop_width = crop_width
+    self.crop_height = crop_height
+    self.corner_points_weight = corner_points_weight
+    self.entropy_points_weight = entropy_points_weight
+    self.face_points_weight = entropy_points_weight
+    self.annotate_image = annotate_image
+    self.destop_view_image = False
\ No newline at end of file
diff --git a/modules/textual_inversion/preprocess.py b/modules/textual_inversion/preprocess.py
index 7c1a594e..0c79f012 100644
--- a/modules/textual_inversion/preprocess.py
+++ b/modules/textual_inversion/preprocess.py
@@ -1,7 +1,5 @@
 import os
-import cv2
-import numpy as np
-from PIL import Image, ImageOps, ImageDraw
+from PIL import Image, ImageOps
 import platform
 import sys
 import tqdm
@@ -9,6 +7,7 @@ import time
 
 from modules import shared, images
 from modules.shared import opts, cmd_opts
+from modules.textual_inversion import autocrop
 if cmd_opts.deepdanbooru:
     import modules.deepbooru as deepbooru
 
@@ -80,6 +79,7 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
         if process_flip:
             save_pic_with_caption(ImageOps.mirror(image), index)
 
+
     for index, imagefile in enumerate(tqdm.tqdm(files)):
         subindex = [0]
         filename = os.path.join(src, imagefile)
@@ -118,37 +118,16 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
             
             processing_option_ran = True
 
-        if process_entropy_focus and (is_tall or is_wide):
-            if is_tall:
-                img = img.resize((width, height * img.height // img.width))
-            else:
-                img = img.resize((width * img.width // img.height, height))
-
-            x_focal_center, y_focal_center = image_central_focal_point(img, width, height)
-
-            # take the focal point and turn it into crop coordinates that try to center over the focal
-            # point but then get adjusted back into the frame
-            y_half = int(height / 2)
-            x_half = int(width / 2)
-
-            x1 = x_focal_center - x_half
-            if x1 < 0:
-                x1 = 0
-            elif x1 + width > img.width:
-                x1 = img.width - width
-
-            y1 = y_focal_center - y_half
-            if y1 < 0:
-                y1 = 0
-            elif y1 + height > img.height:
-                y1 = img.height - height
-
-            x2 = x1 + width
-            y2 = y1 + height
-
-            crop = [x1, y1, x2, y2]
-
-            focal = img.crop(tuple(crop))
+        if process_entropy_focus and img.height != img.width:
+            autocrop_settings = autocrop.Settings(
+                crop_width = width,
+                crop_height = height,
+                face_points_weight = 0.9,
+                entropy_points_weight = 0.7,
+                corner_points_weight = 0.5,
+                annotate_image = False
+            )
+            focal = autocrop.crop_image(img, autocrop_settings)
             save_pic(focal, index)
 
             processing_option_ran = True
@@ -157,105 +136,4 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pro
             img = images.resize_image(1, img, width, height)
             save_pic(img, index)
 
-        shared.state.nextjob()
-
-
-def image_central_focal_point(im, target_width, target_height):
-    focal_points = []
-
-    focal_points.extend(
-        image_focal_points(im)
-    )
-
-    fp_entropy = image_entropy_point(im, target_width, target_height)
-    fp_entropy['weight'] = len(focal_points) + 1 # about half of the weight to entropy
-
-    focal_points.append(fp_entropy)
-
-    weight = 0.0
-    x = 0.0
-    y = 0.0
-    for focal_point in focal_points:
-        weight += focal_point['weight']
-        x += focal_point['x'] * focal_point['weight']
-        y += focal_point['y'] * focal_point['weight']
-    avg_x = round(x // weight)
-    avg_y = round(y // weight)
-
-    return avg_x, avg_y
-
-
-def image_focal_points(im):
-    grayscale = im.convert("L")
-
-    # naive attempt at preventing focal points from collecting at watermarks near the bottom
-    gd = ImageDraw.Draw(grayscale)
-    gd.rectangle([0, im.height*.9, im.width, im.height], fill="#999")
-
-    np_im = np.array(grayscale)
-
-    points = cv2.goodFeaturesToTrack(
-        np_im,
-        maxCorners=100,
-        qualityLevel=0.04,
-        minDistance=min(grayscale.width, grayscale.height)*0.07,
-        useHarrisDetector=False,
-    )
-
-    if points is None:
-        return []
-
-    focal_points = []
-    for point in points:
-        x, y = point.ravel()
-        focal_points.append({
-            'x': x,
-            'y': y,
-            'weight': 1.0
-        })
-
-    return focal_points
-
-
-def image_entropy_point(im, crop_width, crop_height):
-    landscape = im.height < im.width
-    portrait = im.height > im.width
-    if landscape:
-      move_idx = [0, 2]
-      move_max = im.size[0]
-    elif portrait:
-      move_idx = [1, 3]
-      move_max = im.size[1]
-
-    e_max = 0
-    crop_current = [0, 0, crop_width, crop_height]
-    crop_best = crop_current
-    while crop_current[move_idx[1]] < move_max:
-        crop = im.crop(tuple(crop_current))
-        e = image_entropy(crop)
-
-        if (e > e_max):
-          e_max = e
-          crop_best = list(crop_current)
-
-        crop_current[move_idx[0]] += 4
-        crop_current[move_idx[1]] += 4
-
-    x_mid = int(crop_best[0] + crop_width/2)
-    y_mid = int(crop_best[1] + crop_height/2)
-
-
-    return {
-        'x': x_mid,
-        'y': y_mid,
-        'weight': 1.0
-    }
-
-
-def image_entropy(im):
-    # greyscale image entropy
-    band = np.asarray(im.convert("1"))
-    hist, _ = np.histogram(band, bins=range(0, 256))
-    hist = hist[hist > 0]
-    return -np.log2(hist / hist.sum()).sum()
-
+        shared.state.nextjob()
\ No newline at end of file

From 0ddaf8d2028a7251e8c4ad93551a43b5d4700841 Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Thu, 20 Oct 2022 00:34:55 -0700
Subject: [PATCH 024/321] improve face detection a lot

---
 modules/textual_inversion/autocrop.py | 95 +++++++++++++++++----------
 1 file changed, 60 insertions(+), 35 deletions(-)

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
index f858a958..5a551c25 100644
--- a/modules/textual_inversion/autocrop.py
+++ b/modules/textual_inversion/autocrop.py
@@ -8,12 +8,18 @@ GREEN = "#0F0"
 BLUE = "#00F"
 RED = "#F00"
 
+
 def crop_image(im, settings):
   """ Intelligently crop an image to the subject matter """
   if im.height > im.width:
       im = im.resize((settings.crop_width, settings.crop_height * im.height // im.width))
-  else:
+  elif im.width > im.height:
       im = im.resize((settings.crop_width * im.width // im.height, settings.crop_height))
+  else:
+      im = im.resize((settings.crop_width, settings.crop_height))
+
+  if im.height == im.width:
+    return im
 
   focus = focal_point(im, settings)
 
@@ -78,13 +84,18 @@ def focal_point(im, settings):
       [ PointOfInterest( p.x, p.y, weight=p.weight * ( (face_weight/weight_pref_total) / (len(face_points)/total_points) )) for p in face_points ]
     )
 
+    average_point = poi_average(pois, settings)
+
     if settings.annotate_image:
       d = ImageDraw.Draw(im)
-
-    average_point = poi_average(pois, settings, im=im)
-
-    if settings.annotate_image:
-      d.ellipse([average_point.x - 25, average_point.y - 25, average_point.x + 25, average_point.y + 25], outline=GREEN)
+      for f in face_points:
+        d.rectangle(f.bounding(f.size), outline=RED)
+      for f in entropy_points:
+        d.rectangle(f.bounding(30), outline=BLUE)
+      for poi in pois:
+        w = max(4, 4 * 0.5 * sqrt(poi.weight))
+        d.ellipse(poi.bounding(w), fill=BLUE)
+      d.ellipse(average_point.bounding(25), outline=GREEN)
       
     return average_point
 
@@ -92,22 +103,32 @@ def focal_point(im, settings):
 def image_face_points(im, settings):
     np_im = np.array(im)
     gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
-    classifier = cv2.CascadeClassifier(f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml')
 
-    minsize = int(min(im.width, im.height) * 0.15) # at least N percent of the smallest side
-    faces = classifier.detectMultiScale(gray, scaleFactor=1.05,
-      minNeighbors=5, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
+    tries = [
+      [ f'{cv2.data.haarcascades}haarcascade_eye.xml', 0.01 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_profileface.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt2.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt_tree.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_eye_tree_eyeglasses.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_upperbody.xml', 0.05 ]
+    ]
 
-    if len(faces) == 0:
-      return []
+    for t in tries:
+      # print(t[0])
+      classifier = cv2.CascadeClassifier(t[0])
+      minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
+      try:
+        faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
+          minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
+      except:
+        continue
 
-    rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
-    if settings.annotate_image:
-      for f in rects:
-        d = ImageDraw.Draw(im)
-        d.rectangle(f, outline=RED)
-    
-    return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2) for r in rects]
+      if len(faces) > 0:
+        rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
+        return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2])) for r in rects]
+    return []
 
 
 def image_corner_points(im, settings):
@@ -132,8 +153,8 @@ def image_corner_points(im, settings):
 
     focal_points = []
     for point in points:
-        x, y = point.ravel()
-        focal_points.append(PointOfInterest(x, y))
+      x, y = point.ravel()
+      focal_points.append(PointOfInterest(x, y, size=4))
 
     return focal_points
 
@@ -167,31 +188,26 @@ def image_entropy_points(im, settings):
     x_mid = int(crop_best[0] + settings.crop_width/2)
     y_mid = int(crop_best[1] + settings.crop_height/2)
 
-    return [PointOfInterest(x_mid, y_mid)]
+    return [PointOfInterest(x_mid, y_mid, size=25)]
 
 
 def image_entropy(im):
     # greyscale image entropy
-    band = np.asarray(im.convert("1"))
+    # band = np.asarray(im.convert("L"))
+    band = np.asarray(im.convert("1"), dtype=np.uint8)
     hist, _ = np.histogram(band, bins=range(0, 256))
     hist = hist[hist > 0]
     return -np.log2(hist / hist.sum()).sum()
 
 
-def poi_average(pois, settings, im=None):
+def poi_average(pois, settings):
     weight = 0.0
     x = 0.0
     y = 0.0
-    for pois in pois:
-        if settings.annotate_image and im is not None:
-          w = 4 * 0.5 * sqrt(pois.weight)
-          d = ImageDraw.Draw(im)
-          d.ellipse([
-            pois.x - w, pois.y - w,
-            pois.x + w, pois.y + w ], fill=BLUE)
-        weight += pois.weight
-        x += pois.x * pois.weight
-        y += pois.y * pois.weight
+    for poi in pois:
+        weight += poi.weight
+        x += poi.x * poi.weight
+        y += poi.y * poi.weight
     avg_x = round(x / weight)
     avg_y = round(y / weight)
 
@@ -199,10 +215,19 @@ def poi_average(pois, settings, im=None):
 
 
 class PointOfInterest:
-  def __init__(self, x, y, weight=1.0):
+  def __init__(self, x, y, weight=1.0, size=10):
     self.x = x
     self.y = y
     self.weight = weight
+    self.size = size
+
+  def bounding(self, size):
+    return [
+      self.x - size//2,
+      self.y - size//2,
+      self.x + size//2,
+      self.y + size//2
+    ]
 
 
 class Settings:

From 21364c5c39b269497944b56dd6664792d779333b Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 20 Oct 2022 19:20:39 +0900
Subject: [PATCH 025/321] Updated file with basic template and added new
 translations

Translation done in txt2img-img2img windows and following scripts
---
 localizations/ko-KR.json | 498 +++++++++++++++++++++++++++++++--------
 1 file changed, 400 insertions(+), 98 deletions(-)

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
index b263b13c..7cc431c6 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko-KR.json
@@ -1,120 +1,422 @@
 {
-  "⤡": "⤡",
-  "⊞": "⊞",
   "×": "×",
+  "•": "•",
+  "⊞": "⊞",
   "❮": "❮",
   "❯": "❯",
-  "Loading...": "",
-  "view": "api 보이기",
-  "hide": "api 숨기기",
-  "api": "",
-  "•": "•",
-  "txt2img": "텍스트→이미지",
-  "img2img": "이미지→이미지",
-  "Extras": "부가기능",
-  "PNG Info": "PNG 정보",
-  "History": "기록",
-  "Checkpoint Merger": "체크포인트 병합",
-  "Train": "훈련",
-  "Settings": "설정",
-  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
-  "Hypernetwork": "하이퍼네트워크",
-  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
-  "Generate": "생성",
-  "Style 1": "스타일 1",
-  "Style 2": "스타일 2",
+  "⤡": "⤡",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
+  "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
+  "A merger of the two checkpoints will be generated in your": "A merger of the two checkpoints will be generated in your",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
   "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
-  "Save style": "스타일 저장",
+  "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+  "Add difference": "Add difference",
+  "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
+  "Add layer normalization": "Add layer normalization",
+  "Add model hash to generation information": "Add model hash to generation information",
+  "Add model name to generation information": "Add model name to generation information",
+  "Always print all generation info to standard output": "Always print all generation info to standard output",
+  "Always save all generated image grids": "Always save all generated image grids",
+  "Always save all generated images": "생성된 이미지 항상 저장하기",
+  "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
-  "Do not do anything special": "아무것도 하지 않기",
-  "Generate forever": "반복 생성",
-  "Cancel generate forever": "반복 생성 취소",
-  "Interrupt": "중단",
-  "Skip": "건너뛰기",
-  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
-  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
-  "Prompt": "프롬프트",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Negative prompt": "네거티브 프롬프트",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Sampling Steps": "샘플링 스텝 수",
-  "Sampling method": "샘플링 방법",
-  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
-  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
-  "Width": "가로",
-  "Height": "세로",
-  "Restore faces": "얼굴 보정",
-  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
-  "Tiling": "타일링",
-  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
-  "Highres. fix": "고해상도 보정",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
-  "Firstpass width": "초기 가로길이",
-  "Firstpass height": "초기 세로길이",
-  "Denoising strength": "디노이즈 강도",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Apply settings": "설정 적용하기",
+  "BSRGAN 4x": "BSRGAN 4x",
+  "Batch Process": "Batch Process",
   "Batch count": "배치 수",
+  "Batch from Directory": "Batch from Directory",
+  "Batch img2img": "이미지→이미지 배치",
   "Batch size": "배치 크기",
+  "CFG Scale": "CFG 스케일",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "Cancel generate forever": "반복 생성 취소",
+  "Check progress (first)": "Check progress (first)",
+  "Check progress": "Check progress",
+  "Checkpoint Merger": "체크포인트 병합",
+  "Checkpoint name": "체크포인트 이름",
+  "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Clip skip": "클립 건너뛰기",
+  "CodeFormer visibility": "CodeFormer visibility",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+  "Color variation": "색깔 다양성",
+  "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
+  "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
+  "Create embedding": "Create embedding",
+  "Create flipped copies": "Create flipped copies",
+  "Create hypernetwork": "Create hypernetwork",
+  "Crop and resize": "잘라낸 후 리사이징",
+  "Crop to fit": "Crop to fit",
+  "Custom Name (Optional)": "Custom Name (Optional)",
+  "DDIM": "DDIM",
+  "DPM adaptive": "DPM adaptive",
+  "DPM fast": "DPM fast",
+  "DPM2 Karras": "DPM2 Karras",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DPM2 a": "DPM2 a",
+  "DPM2": "DPM2",
+  "Dataset directory": "Dataset directory",
+  "Decode CFG scale": "디코딩 CFG 스케일",
+  "Decode steps": "디코딩 스텝 수",
+  "Delete": "Delete",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Denoising strength change factor": "디노이즈 강도 변경 배수",
+  "Denoising strength": "디노이즈 강도",
+  "Denoising": "디노이징",
+  "Destination directory": "Destination directory",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Directory for saving images using the Save button": "Directory for saving images using the Save button",
+  "Directory name pattern": "Directory name pattern",
+  "Do not add watermark to images": "Do not add watermark to images",
+  "Do not do anything special": "아무것도 하지 않기",
+  "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
+  "Do not show any images in results for web": "Do not show any images in results for web",
+  "Download localization template": "Download localization template",
+  "Draw legend": "범례 그리기",
+  "Draw mask": "마스크 직접 그리기",
+  "Drop File Here": "Drop File Here",
+  "Drop Image Here": "Drop Image Here",
+  "ESRGAN_4x": "ESRGAN_4x",
+  "Embedding": "Embedding",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
+  "Enable full page image viewer": "Enable full page image viewer",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+  "End Page": "End Page",
+  "Enter hypernetwork layer structure": "Enter hypernetwork layer structure",
+  "Eta noise seed delta": "Eta noise seed delta",
+  "Eta": "Eta",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Euler a": "Euler a",
+  "Euler": "Euler",
+  "Extra": "고급",
+  "Extras": "부가기능",
+  "Face restoration": "Face restoration",
+  "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
+  "File Name": "File Name",
+  "File format for grids": "File format for grids",
+  "File format for images": "File format for images",
+  "File with inputs": "설정값 파일",
+  "File": "File",
+  "Filename join string": "Filename join string",
+  "Filename word regex": "Filename word regex",
+  "Filter NSFW content": "Filter NSFW content",
+  "First Page": "First Page",
+  "Firstpass height": "초기 세로길이",
+  "Firstpass width": "초기 가로길이",
+  "Font for image grids that have text": "Font for image grids that have text",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
+  "GFPGAN visibility": "GFPGAN visibility",
+  "Generate Info": "Generate Info",
+  "Generate forever": "반복 생성",
+  "Generate": "생성",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
+  "Height": "세로",
+  "Heun": "Heun",
+  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
+  "Highres. fix": "고해상도 보정",
+  "History": "기록",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
-  "CFG Scale": "CFG 스케일",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
-  "Seed": "시드",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
-  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
-  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
-  "Extra": "고급",
-  "Variation seed": "바리에이션 시드",
-  "Variation strength": "바리에이션 강도",
-  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
+  "How many times to repeat processing an image and using it as input for the next iteration": "이미지를 생성 후 원본으로 몇 번 반복해서 사용할지 결정하는 값",
+  "How much to blur the mask before processing, in pixels.": "이미지 생성 전 마스크를 얼마나 블러처리할지 결정하는 값. 픽셀 단위",
   "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
+  "Hypernet str.": "하이퍼네트워크 강도",
+  "Hypernetwork strength": "Hypernetwork strength",
+  "Hypernetwork": "하이퍼네트워크",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "Image for img2img": "Image for img2img",
+  "Image for inpainting with mask": "Image for inpainting with mask",
+  "Image": "Image",
+  "Images filename pattern": "Images filename pattern",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
+  "Include Separate Images": "분리된 이미지 포함하기",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+  "Initialization text": "Initialization text",
+  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
+  "Inpaint at full resolution": "전체 해상도로 인페인트하기",
+  "Inpaint masked": "마스크만 처리",
+  "Inpaint not masked": "마스크 이외만 처리",
+  "Inpaint": "인페인트",
+  "Input directory": "인풋 이미지 경로",
+  "Interpolation Method": "Interpolation Method",
+  "Interrogate\nCLIP": "CLIP\n분석",
+  "Interrogate\nDeepBooru": "DeepBooru\n분석",
+  "Interrogate Options": "Interrogate Options",
+  "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
+  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
+  "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
+  "Interrogate: maximum description length": "Interrogate: maximum description length",
+  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
+  "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
+  "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+  "Interrupt": "중단",
+  "Just resize": "리사이징",
+  "Keep -1 for seeds": "시드값 -1로 유지",
+  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "LDSR": "LDSR",
+  "LMS Karras": "LMS Karras",
+  "LMS": "LMS",
+  "Label": "Label",
+  "Lanczos": "Lanczos",
+  "Learning rate": "Learning rate",
+  "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "Loading...": "로딩 중...",
+  "Localization (requires restart)": "Localization (requires restart)",
+  "Log directory": "Log directory",
+  "Loopback": "루프백",
+  "Loops": "루프 수",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
+  "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Mask blur": "마스크 블러",
+  "Mask mode": "Mask mode",
+  "Mask": "마스크",
+  "Masked content": "마스크된 부분",
+  "Masking mode": "Masking mode",
+  "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+  "Max steps": "Max steps",
+  "Modules": "Modules",
+  "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
+  "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - set to 0 to get model A",
+  "Name": "Name",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt": "네거티브 프롬프트",
+  "Next Page": "Next Page",
+  "None": "None",
+  "Nothing": "없음",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
+  "Number of vectors per token": "Number of vectors per token",
+  "Open images output directory": "이미지 저장 경로 열기",
+  "Open output directory": "Open output directory",
+  "Original negative prompt": "기존 네거티브 프롬프트",
+  "Original prompt": "기존 프롬프트",
+  "Outpainting direction": "아웃페인팅 방향",
+  "Outpainting mk2": "아웃페인팅 마크 2",
+  "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
+  "Output directory for images from extras tab": "Output directory for images from extras tab",
+  "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
+  "Output directory for img2img grids": "Output directory for img2img grids",
+  "Output directory for img2img images": "Output directory for img2img images",
+  "Output directory for txt2img grids": "Output directory for txt2img grids",
+  "Output directory for txt2img images": "Output directory for txt2img images",
+  "Output directory": "이미지 저장 경로",
+  "Override `Denoising strength` to 1?": "디노이즈 강도를 1로 적용할까요?",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
+  "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
+  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
+  "PLMS": "PLMS",
+  "PNG Info": "PNG 정보",
+  "Page Index": "Page Index",
+  "Path to directory where to write outputs": "Path to directory where to write outputs",
+  "Path to directory with input images": "Path to directory with input images",
+  "Paths for saving": "Paths for saving",
+  "Pixels to expand": "확장할 픽셀 수",
+  "Poor man's outpainting": "가난뱅이의 아웃페인팅",
+  "Preprocess images": "Preprocess images",
+  "Preprocess": "Preprocess",
+  "Prev Page": "Prev Page",
+  "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
+  "Primary model (A)": "Primary model (A)",
+  "Process an image, use it as an input, repeat.": "이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
+  "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
+  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Prompt S/R": "프롬프트 스타일 변경",
+  "Prompt matrix": "프롬프트 매트릭스",
+  "Prompt order": "프롬프트 순서",
+  "Prompt template file": "Prompt template file",
+  "Prompt": "프롬프트",
+  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
+  "Prompts": "프롬프트",
+  "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
+  "Quality for saved jpeg images": "Quality for saved jpeg images",
+  "Quicksettings list": "Quicksettings list",
+  "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+  "Randomness": "랜덤성",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
+  "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "Renew Page": "Renew Page",
+  "Request browser notifications": "Request browser notifications",
+  "Resize and fill": "리사이징 후 채우기",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
+  "Resize mode": "Resize mode",
   "Resize seed from height": "시드 리사이징 가로길이",
   "Resize seed from width": "시드 리사이징 세로길이",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
-  "Script": "스크립트",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
+  "Resize": "Resize",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+  "Restore faces": "얼굴 보정",
+  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
+  "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
+  "Run": "Run",
+  "SD upscale": "SD 업스케일링",
+  "Sampler parameters": "Sampler parameters",
+  "Sampler": "샘플러",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Sampling method": "샘플링 방법",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "Save a copy of embedding to log directory every N steps, 0 to disable",
+  "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
+  "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+  "Save an image to log directory every N steps, 0 to disable": "Save an image to log directory every N steps, 0 to disable",
+  "Save as float16": "Save as float16",
+  "Save grids to a subdirectory": "Save grids to a subdirectory",
+  "Save images to a subdirectory": "Save images to a subdirectory",
+  "Save images with embedding in PNG chunks": "Save images with embedding in PNG chunks",
+  "Save style": "스타일 저장",
+  "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
   "Save": "저장",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "Saving images/grids": "Saving images/grids",
+  "Saving to a directory": "Saving to a directory",
+  "Scale by": "Scale by",
+  "Scale to": "Scale to",
+  "Script": "스크립트",
+  "ScuNET GAN": "ScuNET GAN",
+  "ScuNET PSNR": "ScuNET PSNR",
+  "Secondary model (B)": "Secondary model (B)",
+  "See": "See",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "Seed": "시드",
+  "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
-  "Send to extras": "부가기능으로 전송",
-  "Open images output directory": "이미지 저장 경로 열기",
-  "Make Zip when Save?": "저장 시 Zip 생성하기",
-  "Prompt matrix": "프롬프트 매트릭스",
+  "Send to txt2img": "텍스트→이미지로 전송",
   "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)": "(|)를 이용해 프롬프트를 분리할 시 첫 프롬프트를 제외하고 모든 프롬프트의 조합마다 이미지를 생성합니다. 첫 프롬프트는 모든 조합에 포함되게 됩니다.",
-  "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
-  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
-  "Show Textbox": "텍스트박스 보이기",
-  "File with inputs": "설정값 파일",
-  "Prompts": "프롬프트",
-  "X/Y plot": "X/Y 플롯",
-  "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
-  "X type": "X축",
-  "Y type": "Y축",
-  "X values": "X 설정값",
-  "Y values": "Y 설정값",
   "Separate values for X axis using commas.": "쉼표로 X축에 적용할 값 분리",
   "Separate values for Y axis using commas.": "쉼표로 Y축에 적용할 값 분리",
-  "Draw legend": "범례 그리기",
-  "Include Separate Images": "분리된 이미지 포함하기",
-  "Keep -1 for seeds": "시드값 -1로 유지",
+  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "Settings": "설정",
+  "Show Textbox": "텍스트박스 보이기",
+  "Show generation progress in window title.": "Show generation progress in window title.",
+  "Show grid in results for web": "Show grid in results for web",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
+  "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
+  "Show progressbar": "Show progressbar",
+  "Show result images": "Show result images",
+  "Sigma Churn": "시그마 섞기",
+  "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
+  "Sigma max": "시그마 최댓값",
+  "Sigma min": "시그마 최솟값",
+  "Sigma noise": "시그마 노이즈",
+  "Single Image": "Single Image",
+  "Skip": "건너뛰기",
+  "Source directory": "Source directory",
+  "Source": "Source",
+  "Split oversized images into two": "Split oversized images into two",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Stable Diffusion": "Stable Diffusion",
+  "Steps": "스텝 수",
+  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
+  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
+  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
+  "Style 1": "스타일 1",
+  "Style 2": "스타일 2",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+  "SwinIR 4x": "SwinIR 4x",
+  "System": "System",
+  "Tertiary model (C)": "Tertiary model (C)",
+  "Textbox": "Textbox",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
+  "Tile overlap": "타일 겹침",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
+  "Tile size for all SwinIR.": "Tile size for all SwinIR.",
+  "Tiling": "타일링",
+  "Train Embedding": "Train Embedding",
+  "Train Hypernetwork": "Train Hypernetwork",
+  "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Train an embedding; must specify a directory with a set of 1:1 ratio images",
+  "Train": "훈련",
+  "Training": "Training",
+  "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
+  "Upload mask": "마스크 업로드하기",
+  "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
+  "Upscaler 2 visibility": "Upscaler 2 visibility",
+  "Upscaler for img2img": "Upscaler for img2img",
+  "Upscaler": "업스케일러",
+  "Upscaling": "Upscaling",
+  "Use BLIP for caption": "Use BLIP for caption",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
+  "Use deepbooru for caption": "Use deepbooru for caption",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
+  "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
+  "User interface": "User interface",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
   "Var. seed": "바리에이션 시드",
   "Var. strength": "바리에이션 강도",
-  "Steps": "스텝 수",
-  "Prompt S/R": "프롬프트 스타일 변경",
-  "Prompt order": "프롬프트 순서",
-  "Sampler": "샘플러",
-  "Checkpoint name": "체크포인트 이름",
-  "Hypernet str.": "하이퍼네트워크 강도",
-  "Sigma Churn": "시그마 섞기",
-  "Sigma min": "시그마 최솟값",
-  "Sigma max": "시그마 최댓값",
-  "Sigma noise": "시그마 노이즈",
-  "Clip skip": "클립 건너뛰기",
-  "Denoising": "디노이징",
-  "Nothing": "없음",
-  "Apply settings": "설정 적용하기",
-  "Always save all generated images": "생성된 이미지 항상 저장하기"
+  "Variation seed": "바리에이션 시드",
+  "Variation strength": "바리에이션 강도",
+  "Weighted sum": "Weighted sum",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
+  "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
+  "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
+  "Width": "가로",
+  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "X type": "X축",
+  "X values": "X 설정값",
+  "X/Y plot": "X/Y 플롯",
+  "Y type": "Y축",
+  "Y values": "Y 설정값",
+  "api": "",
+  "built with gradio": "gradio로 제작되었습니다",
+  "checkpoint": "checkpoint",
+  "directory.": "directory.",
+  "down": "아래쪽",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
+  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+  "extras history": "extras history",
+  "fill it with colors of the image": "이미지의 색상으로 채우기",
+  "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
+  "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
+  "fill": "채우기",
+  "for detailed explanation.": "for detailed explanation.",
+  "hide": "api 숨기기",
+  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
+  "img2img DDIM discretize": "img2img DDIM discretize",
+  "img2img alternative test": "이미지→이미지 대체버전 테스트",
+  "img2img history": "img2img history",
+  "img2img": "이미지→이미지",
+  "keep whatever was there originally": "이미지 원본 유지",
+  "latent noise": "잠재 노이즈",
+  "latent nothing": "잠재 공백",
+  "left": "왼쪽",
+  "number of images to delete consecutively next": "number of images to delete consecutively next",
+  "or": "or",
+  "original": "원본 유지",
+  "quad": "quad",
+  "right": "오른쪽",
+  "set_index": "set_index",
+  "should be 2 or lower.": "이 2 이하여야 합니다.",
+  "sigma churn": "sigma churn",
+  "sigma noise": "sigma noise",
+  "sigma tmin": "sigma tmin",
+  "txt2img history": "txt2img history",
+  "txt2img": "텍스트→이미지",
+  "uniform": "uniform",
+  "up": "위쪽",
+  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
+  "view": "api 보이기",
+  "wiki": "wiki"
 }
\ No newline at end of file

From d8acd34f66ab35a91f10d66330bcc95a83bfcac6 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Thu, 20 Oct 2022 23:43:03 +0900
Subject: [PATCH 026/321] generalized some functions and option for ignoring
 first layer

---
 modules/hypernetworks/hypernetwork.py | 23 +++++++++++++++--------
 1 file changed, 15 insertions(+), 8 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 7d617680..3a44b377 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -21,21 +21,27 @@ from modules.textual_inversion.learn_schedule import LearnRateScheduler
 
 class HypernetworkModule(torch.nn.Module):
     multiplier = 1.0
-
+    activation_dict = {"relu": torch.nn.ReLU, "leakyrelu": torch.nn.LeakyReLU, "elu": torch.nn.ELU,
+                       "swish": torch.nn.Hardswish}
+    
     def __init__(self, dim, state_dict=None, layer_structure=None, add_layer_norm=False, activation_func=None):
         super().__init__()
 
         assert layer_structure is not None, "layer_structure must not be None"
         assert layer_structure[0] == 1, "Multiplier Sequence should start with size 1!"
         assert layer_structure[-1] == 1, "Multiplier Sequence should end with size 1!"
-
+        
         linears = []
         for i in range(len(layer_structure) - 1):
             linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
-            if activation_func == "relu":
-                linears.append(torch.nn.ReLU())
-            if activation_func == "leakyrelu":
-                linears.append(torch.nn.LeakyReLU())
+            # if skip_first_layer because first parameters potentially contain negative values
+            if i < 1: continue
+            if activation_func in HypernetworkModule.activation_dict:
+                linears.append(HypernetworkModule.activation_dict[activation_func]())
+            else:
+                print("Invalid key {} encountered as activation function!".format(activation_func))
+            # if use_dropout: 
+            linears.append(torch.nn.Dropout(p=0.3))
             if add_layer_norm:
                 linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
@@ -46,7 +52,7 @@ class HypernetworkModule(torch.nn.Module):
             self.load_state_dict(state_dict)
         else:
             for layer in self.linear:
-                if not "ReLU" in layer.__str__():
+                if isinstance(layer, torch.nn.Linear):
                     layer.weight.data.normal_(mean=0.0, std=0.01)
                     layer.bias.data.zero_()
 
@@ -298,7 +304,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         return hypernetwork, filename
 
     scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
-    optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
+    # if optimizer == "Adam": or else Adam / AdamW / etc...
+    optimizer = torch.optim.Adam(weights, lr=scheduler.learn_rate)
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
     for i, entries in pbar:

From a71e0212363979c7cbbb797c9fbd5f8cd03b29d3 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Thu, 20 Oct 2022 23:48:52 +0900
Subject: [PATCH 027/321] only linear

---
 modules/hypernetworks/hypernetwork.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 3a44b377..905cbeef 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -35,13 +35,13 @@ class HypernetworkModule(torch.nn.Module):
         for i in range(len(layer_structure) - 1):
             linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
             # if skip_first_layer because first parameters potentially contain negative values
-            if i < 1: continue
+            # if i < 1: continue
             if activation_func in HypernetworkModule.activation_dict:
                 linears.append(HypernetworkModule.activation_dict[activation_func]())
             else:
                 print("Invalid key {} encountered as activation function!".format(activation_func))
             # if use_dropout: 
-            linears.append(torch.nn.Dropout(p=0.3))
+            # linears.append(torch.nn.Dropout(p=0.3))
             if add_layer_norm:
                 linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
@@ -80,7 +80,7 @@ class HypernetworkModule(torch.nn.Module):
     def trainables(self):
         layer_structure = []
         for layer in self.linear:
-            if not "ReLU" in layer.__str__():
+            if isinstance(layer, torch.nn.Linear):
                 layer_structure += [layer.weight, layer.bias]
         return layer_structure
 
@@ -304,8 +304,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         return hypernetwork, filename
 
     scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
-    # if optimizer == "Adam": or else Adam / AdamW / etc...
-    optimizer = torch.optim.Adam(weights, lr=scheduler.learn_rate)
+    # if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
+    optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
     for i, entries in pbar:

From d07cb46f34b3d9fe7a78b102f899ebef352ea56b Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Thu, 20 Oct 2022 23:58:52 +0800
Subject: [PATCH 028/321] inspiration pull request

---
 .gitignore                           |   3 +-
 javascript/imageviewer.js            |   1 -
 javascript/inspiration.js            |  42 +++++++++
 modules/inspiration.py               | 122 +++++++++++++++++++++++++++
 modules/shared.py                    |   1 +
 modules/ui.py                        |  13 +--
 scripts/create_inspiration_images.py |  45 ++++++++++
 webui.py                             |   5 ++
 8 files changed, 225 insertions(+), 7 deletions(-)
 create mode 100644 javascript/inspiration.js
 create mode 100644 modules/inspiration.py
 create mode 100644 scripts/create_inspiration_images.py

diff --git a/.gitignore b/.gitignore
index f9c3357c..434d50b7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -27,4 +27,5 @@ __pycache__
 notification.mp3
 /SwinIR
 /textual_inversion
-.vscode
\ No newline at end of file
+.vscode
+/inspiration
\ No newline at end of file
diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js
index 9e380c65..d4ab6984 100644
--- a/javascript/imageviewer.js
+++ b/javascript/imageviewer.js
@@ -116,7 +116,6 @@ function showGalleryImage() {
                 e.dataset.modded = true;
                 if(e && e.parentElement.tagName == 'DIV'){
                     e.style.cursor='pointer'
-                    e.style.userSelect='none'
                     e.addEventListener('click', function (evt) {
                         if(!opts.js_modal_lightbox) return;
                         modalZoomSet(gradioApp().getElementById('modalImage'), opts.js_modal_lightbox_initially_zoomed)
diff --git a/javascript/inspiration.js b/javascript/inspiration.js
new file mode 100644
index 00000000..e1c0e114
--- /dev/null
+++ b/javascript/inspiration.js
@@ -0,0 +1,42 @@
+function public_image_index_in_gallery(item, gallery){
+    var index;
+    var i = 0;
+    gallery.querySelectorAll("img").forEach(function(e){
+        if (e == item)
+            index = i;
+        i += 1;
+    });
+    return index;
+}
+
+function inspiration_selected(name, types, name_list){
+    var btn = gradioApp().getElementById("inspiration_select_button")
+    return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index"), types];
+}    
+var inspiration_image_click = function(){
+    var index =  public_image_index_in_gallery(this, gradioApp().getElementById("inspiration_gallery"));
+    var btn = gradioApp().getElementById("inspiration_select_button")
+    btn.setAttribute("img-index", index)
+    setTimeout(function(btn){btn.click();}, 10, btn)
+}
+
+document.addEventListener("DOMContentLoaded", function() {
+    var mutationObserver = new MutationObserver(function(m){
+        var gallery = gradioApp().getElementById("inspiration_gallery")
+        if (gallery) {
+            var node = gallery.querySelector(".absolute.backdrop-blur.h-full")
+            if (node) {
+                node.style.display = "None"; //parentNode.removeChild(node) 
+            }
+            
+            gallery.querySelectorAll('img').forEach(function(e){    
+                e.onclick = inspiration_image_click
+        }) 
+
+        }
+
+
+    });
+    mutationObserver.observe( gradioApp(), { childList:true, subtree:true });
+
+});
diff --git a/modules/inspiration.py b/modules/inspiration.py
new file mode 100644
index 00000000..456bfcb5
--- /dev/null
+++ b/modules/inspiration.py
@@ -0,0 +1,122 @@
+import os
+import random
+import gradio 
+inspiration_path = "inspiration"
+inspiration_system_path = os.path.join(inspiration_path, "system")
+def read_name_list(file):
+    if not os.path.exists(file):
+        return []
+    f = open(file, "r")
+    ret = []
+    line = f.readline()
+    while len(line) > 0:
+        line = line.rstrip("\n")
+        ret.append(line)
+    print(ret)
+    return ret
+
+def save_name_list(file, name): 
+    print(file)
+    f = open(file, "a")
+    f.write(name + "\n")
+
+def get_inspiration_images(source, types):   
+    path = os.path.join(inspiration_path , types) 
+    if source == "Favorites":
+        names = read_name_list(os.path.join(inspiration_system_path, types + "_faverites.txt"))
+        names = random.sample(names, 25)
+    elif source == "Abandoned":
+        names = read_name_list(os.path.join(inspiration_system_path, types + "_abondened.txt"))
+        names = random.sample(names, 25)
+    elif source == "Exclude abandoned":
+        abondened = read_name_list(os.path.join(inspiration_system_path, types + "_abondened.txt"))        
+        all_names = os.listdir(path)
+        names = []
+        while len(names) < 25:
+            name = random.choice(all_names)
+            if name not in abondened:
+                names.append(name)
+    else:
+        names = random.sample(os.listdir(path), 25)
+    names = random.sample(names, 25)
+    image_list = []
+    for a in names:
+        image_path = os.path.join(path, a)
+        images = os.listdir(image_path)        
+        image_list.append(os.path.join(image_path, random.choice(images)))
+    return image_list, names
+
+def select_click(index, types, name_list):
+    name = name_list[int(index)]
+    path = os.path.join(inspiration_path, types, name)
+    images = os.listdir(path)
+    return name, [os.path.join(path, x) for x in images]
+
+def give_up_click(name, types):
+    file = os.path.join(inspiration_system_path, types + "_abandoned.txt")
+    name_list = read_name_list(file)
+    if name not in name_list:
+        save_name_list(file, name)
+   
+def collect_click(name, types):
+    file = os.path.join(inspiration_system_path, types + "_faverites.txt")
+    print(file)
+    name_list = read_name_list(file)
+    print(name_list)
+    if name not in name_list:
+        save_name_list(file, name)
+
+def moveout_click(name, types):
+    file = os.path.join(inspiration_system_path, types + "_faverites.txt")
+    name_list = read_name_list(file)
+    if name not in name_list:
+        save_name_list(file, name)
+
+def source_change(source):
+    if source == "Abandoned" or source == "Favorites":
+        return gradio.Button.update(visible=True, value=f"Move out {source}")
+    else:
+        return gradio.Button.update(visible=False)
+
+def ui(gr, opts):     
+    with gr.Blocks(analytics_enabled=False) as inspiration:
+        flag = os.path.exists(inspiration_path)        
+        if flag:
+            types = os.listdir(inspiration_path)
+            types = [x for x in types if x != "system"]
+            flag = len(types) > 0
+        if not flag:
+            os.mkdir(inspiration_path)
+            gr.HTML("""
+                <div align='center' width="50%>You need get "inspiration" images first. You can create these images by run "Create inspiration images" script in txt2img page, or download zip file from here and unzip these file under fold "inpiration".</div>"
+                """)           
+            return inspiration
+        if not os.path.exists(inspiration_system_path):
+            os.mkdir(inspiration_system_path)
+        gallery, names = get_inspiration_images("Exclude abandoned", types[0])   
+        with gr.Row():
+            with gr.Column(scale=2):                
+                inspiration_gallery = gr.Gallery(gallery, show_label=False, elem_id="inspiration_gallery").style(grid=5, height='auto')
+            with gr.Column(scale=1):
+                types = gr.Dropdown(choices=types, value=types[0], label="Type", visible=len(types) > 1)
+                with gr.Row():                    
+                    source = gr.Dropdown(choices=["All", "Favorites", "Exclude abandoned", "Abandoned"], value="Exclude abandoned", label="Source")
+                    get_inspiration = gr.Button("Get inspiration")
+                name = gr.Textbox(show_label=False, interactive=False)
+                with gr.Row(): 
+                    send_to_txt2img = gr.Button('to txt2img')
+                    send_to_img2img = gr.Button('to img2img')
+                style_gallery = gr.Gallery(show_label=False, elem_id="inspiration_style_gallery").style(grid=2, height='auto')                          
+               
+                collect = gr.Button('Collect')     
+                give_up = gr.Button("Don't show any more")
+                moveout = gr.Button("Move out", visible=False)
+        with gr.Row():
+            select_button = gr.Button('set button', elem_id="inspiration_select_button")
+            name_list = gr.State(names)
+        source.change(source_change, inputs=[source], outputs=[moveout])
+        get_inspiration.click(get_inspiration_images, inputs=[source, types], outputs=[inspiration_gallery, name_list])
+        select_button.click(select_click, _js="inspiration_selected", inputs=[name, types, name_list], outputs=[name, style_gallery])
+        give_up.click(give_up_click, inputs=[name, types], outputs=None)
+        collect.click(collect_click, inputs=[name, types], outputs=None)
+    return inspiration
diff --git a/modules/shared.py b/modules/shared.py
index faede821..ae033710 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -78,6 +78,7 @@ parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencode
 parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
 parser.add_argument("--api", action='store_true', help="use api=True to launch the api with the webui")
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
+parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
 
 cmd_opts = parser.parse_args()
 restricted_opts = [
diff --git a/modules/ui.py b/modules/ui.py
index a2dbd41e..6a0a3c3b 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -41,7 +41,8 @@ from modules import prompt_parser
 from modules.images import save_image
 import modules.textual_inversion.ui
 import modules.hypernetworks.ui
-import modules.images_history as img_his
+import modules.images_history as images_history
+import modules.inspiration as inspiration
 
 # this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
 mimetypes.init()
@@ -1082,9 +1083,9 @@ def create_ui(wrap_gradio_gpu_call):
                                 upscaling_resize_w = gr.Number(label="Width", value=512, precision=0)
                                 upscaling_resize_h = gr.Number(label="Height", value=512, precision=0)
                             upscaling_crop = gr.Checkbox(label='Crop to fit', value=True)
-
+                
                 with gr.Group():
-                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
+                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers] , value=shared.sd_upscalers[0].name, type="index") 
 
                 with gr.Group():
                     extras_upscaler_2 = gr.Radio(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
@@ -1178,7 +1179,8 @@ def create_ui(wrap_gradio_gpu_call):
         "i2i":img2img_paste_fields
     }
 
-    images_history = img_his.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
+    browser_interface = images_history.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
+    inspiration_interface = inspiration.ui(gr, opts)
 
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):
@@ -1595,7 +1597,8 @@ Requested path was: {f}
         (img2img_interface, "img2img", "img2img"),
         (extras_interface, "Extras", "extras"),
         (pnginfo_interface, "PNG Info", "pnginfo"),
-        (images_history, "History", "images_history"),
+        (browser_interface, "History", "images_history"),
+        (inspiration_interface, "Inspiration", "inspiration"),
         (modelmerger_interface, "Checkpoint Merger", "modelmerger"),
         (train_interface, "Train", "ti"),
         (settings_interface, "Settings", "settings"),
diff --git a/scripts/create_inspiration_images.py b/scripts/create_inspiration_images.py
new file mode 100644
index 00000000..6a20def8
--- /dev/null
+++ b/scripts/create_inspiration_images.py
@@ -0,0 +1,45 @@
+import csv, os, shutil
+import modules.scripts as scripts
+from modules import processing, shared, sd_samplers, images
+from modules.processing import Processed
+
+
+class Script(scripts.Script):
+    def title(self):
+        return "Create artists style image"
+
+    def show(self, is_img2img):
+        return not is_img2img
+
+    def ui(self, is_img2img):
+       return []
+    def show(self, is_img2img):
+        return not is_img2img
+
+    def run(self, p): #, max_snapshoots_num):
+        path = os.path.join("style_snapshoot", "artist")
+        if not os.path.exists(path):
+            os.makedirs(path) 
+        p.do_not_save_samples = True
+        p.do_not_save_grid = True
+        p.negative_prompt = "portrait photo"
+        f = open('artists.csv')
+        f_csv = csv.reader(f)        
+        for row in f_csv:
+            name = row[0]
+            artist_path = os.path.join(path, name)  
+            if not os.path.exists(artist_path):
+                os.mkdir(artist_path)  
+            if len(os.listdir(artist_path)) > 0:
+                continue
+            print(name)
+            p.prompt = name
+            processed = processing.process_images(p)
+            for img in  processed.images:
+                i = 0
+                filename = os.path.join(artist_path,  format(0, "03d") + ".jpg")
+                while os.path.exists(filename):
+                    i += 1
+                    filename = os.path.join(artist_path,  format(i, "03d") + ".jpg")
+                img.save(filename, quality=70)
+        return processed
diff --git a/webui.py b/webui.py
index 177bef74..5923905f 100644
--- a/webui.py
+++ b/webui.py
@@ -72,6 +72,11 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
     return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
 
 def initialize():
+    if cmd_opts.ui_debug_mode:
+        class enmpty():
+            name = None
+        shared.sd_upscalers = [enmpty()]
+        return
     modelloader.cleanup_models()
     modules.sd_models.setup_model()
     codeformer.setup_model(cmd_opts.codeformer_models_path)

From 108be15500aac590b4e00420635d7b61fccfa530 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Fri, 21 Oct 2022 01:00:41 +0900
Subject: [PATCH 029/321] fix bugs and optimizations

---
 modules/hypernetworks/hypernetwork.py | 93 +++++++++++++++------------
 1 file changed, 53 insertions(+), 40 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 905cbeef..893ba110 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -36,14 +36,14 @@ class HypernetworkModule(torch.nn.Module):
             linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
             # if skip_first_layer because first parameters potentially contain negative values
             # if i < 1: continue
+            if add_layer_norm:
+                linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
             if activation_func in HypernetworkModule.activation_dict:
                 linears.append(HypernetworkModule.activation_dict[activation_func]())
             else:
                 print("Invalid key {} encountered as activation function!".format(activation_func))
             # if use_dropout: 
             # linears.append(torch.nn.Dropout(p=0.3))
-            if add_layer_norm:
-                linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
         self.linear = torch.nn.Sequential(*linears)
 
@@ -115,11 +115,24 @@ class Hypernetwork:
 
         for k, layers in self.layers.items():
             for layer in layers:
-                layer.train()
                 res += layer.trainables()
 
         return res
 
+    def eval(self):
+        for k, layers in self.layers.items():
+            for layer in layers:
+                layer.eval()
+        for items in self.weights():
+            items.requires_grad = False
+
+    def train(self):
+        for k, layers in self.layers.items():
+            for layer in layers:
+                layer.train()
+        for items in self.weights():
+            items.requires_grad = True
+
     def save(self, filename):
         state_dict = {}
 
@@ -290,10 +303,6 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         shared.sd_model.first_stage_model.to(devices.cpu)
 
     hypernetwork = shared.loaded_hypernetwork
-    weights = hypernetwork.weights()
-    for weight in weights:
-        weight.requires_grad = True
-
     losses = torch.zeros((32,))
 
     last_saved_file = "<none>"
@@ -304,10 +313,10 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         return hypernetwork, filename
 
     scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
-    # if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
-    optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
+    optimizer = torch.optim.AdamW(hypernetwork.weights(), lr=scheduler.learn_rate)
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
+    hypernetwork.train()
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
 
@@ -328,8 +337,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             losses[hypernetwork.step % losses.shape[0]] = loss.item()
 
-            optimizer.zero_grad()
+            optimizer.zero_grad(set_to_none=True)
             loss.backward()
+            del loss
             optimizer.step()
         mean_loss = losses.mean()
         if torch.isnan(mean_loss):
@@ -346,44 +356,47 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         })
 
         if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0:
+            torch.cuda.empty_cache()
             last_saved_image = os.path.join(images_dir, f'{hypernetwork_name}-{hypernetwork.step}.png')
+            with torch.no_grad():
+                hypernetwork.eval()
+                shared.sd_model.cond_stage_model.to(devices.device)
+                shared.sd_model.first_stage_model.to(devices.device)
 
-            optimizer.zero_grad()
-            shared.sd_model.cond_stage_model.to(devices.device)
-            shared.sd_model.first_stage_model.to(devices.device)
+                p = processing.StableDiffusionProcessingTxt2Img(
+                    sd_model=shared.sd_model,
+                    do_not_save_grid=True,
+                    do_not_save_samples=True,
+                )
 
-            p = processing.StableDiffusionProcessingTxt2Img(
-                sd_model=shared.sd_model,
-                do_not_save_grid=True,
-                do_not_save_samples=True,
-            )
+                if preview_from_txt2img:
+                    p.prompt = preview_prompt
+                    p.negative_prompt = preview_negative_prompt
+                    p.steps = preview_steps
+                    p.sampler_index = preview_sampler_index
+                    p.cfg_scale = preview_cfg_scale
+                    p.seed = preview_seed
+                    p.width = preview_width
+                    p.height = preview_height
+                else:
+                    p.prompt = entries[0].cond_text
+                    p.steps = 20
 
-            if preview_from_txt2img:
-                p.prompt = preview_prompt
-                p.negative_prompt = preview_negative_prompt
-                p.steps = preview_steps
-                p.sampler_index = preview_sampler_index
-                p.cfg_scale = preview_cfg_scale
-                p.seed = preview_seed
-                p.width = preview_width
-                p.height = preview_height
-            else:
-                p.prompt = entries[0].cond_text
-                p.steps = 20
+                preview_text = p.prompt
 
-            preview_text = p.prompt
+                processed = processing.process_images(p)
+                image = processed.images[0] if len(processed.images)>0 else None
 
-            processed = processing.process_images(p)
-            image = processed.images[0] if len(processed.images)>0 else None
+                if unload:
+                    shared.sd_model.cond_stage_model.to(devices.cpu)
+                    shared.sd_model.first_stage_model.to(devices.cpu)
 
-            if unload:
-                shared.sd_model.cond_stage_model.to(devices.cpu)
-                shared.sd_model.first_stage_model.to(devices.cpu)
+                if image is not None:
+                    shared.state.current_image = image
+                    image.save(last_saved_image)
+                    last_saved_image += f", prompt: {preview_text}"
 
-            if image is not None:
-                shared.state.current_image = image
-                image.save(last_saved_image)
-                last_saved_image += f", prompt: {preview_text}"
+            hypernetwork.train()
 
         shared.state.job_no = hypernetwork.step
 

From f89829ec3a0baceb445451ad98d4fb4323e922aa Mon Sep 17 00:00:00 2001
From: aria1th <35677394+aria1th@users.noreply.github.com>
Date: Fri, 21 Oct 2022 01:37:11 +0900
Subject: [PATCH 030/321] Revert "fix bugs and optimizations"

This reverts commit 108be15500aac590b4e00420635d7b61fccfa530.
---
 modules/hypernetworks/hypernetwork.py | 93 ++++++++++++---------------
 1 file changed, 40 insertions(+), 53 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 893ba110..905cbeef 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -36,14 +36,14 @@ class HypernetworkModule(torch.nn.Module):
             linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
             # if skip_first_layer because first parameters potentially contain negative values
             # if i < 1: continue
-            if add_layer_norm:
-                linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
             if activation_func in HypernetworkModule.activation_dict:
                 linears.append(HypernetworkModule.activation_dict[activation_func]())
             else:
                 print("Invalid key {} encountered as activation function!".format(activation_func))
             # if use_dropout: 
             # linears.append(torch.nn.Dropout(p=0.3))
+            if add_layer_norm:
+                linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
         self.linear = torch.nn.Sequential(*linears)
 
@@ -115,24 +115,11 @@ class Hypernetwork:
 
         for k, layers in self.layers.items():
             for layer in layers:
+                layer.train()
                 res += layer.trainables()
 
         return res
 
-    def eval(self):
-        for k, layers in self.layers.items():
-            for layer in layers:
-                layer.eval()
-        for items in self.weights():
-            items.requires_grad = False
-
-    def train(self):
-        for k, layers in self.layers.items():
-            for layer in layers:
-                layer.train()
-        for items in self.weights():
-            items.requires_grad = True
-
     def save(self, filename):
         state_dict = {}
 
@@ -303,6 +290,10 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         shared.sd_model.first_stage_model.to(devices.cpu)
 
     hypernetwork = shared.loaded_hypernetwork
+    weights = hypernetwork.weights()
+    for weight in weights:
+        weight.requires_grad = True
+
     losses = torch.zeros((32,))
 
     last_saved_file = "<none>"
@@ -313,10 +304,10 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         return hypernetwork, filename
 
     scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
-    optimizer = torch.optim.AdamW(hypernetwork.weights(), lr=scheduler.learn_rate)
+    # if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
+    optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
-    hypernetwork.train()
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
 
@@ -337,9 +328,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             losses[hypernetwork.step % losses.shape[0]] = loss.item()
 
-            optimizer.zero_grad(set_to_none=True)
+            optimizer.zero_grad()
             loss.backward()
-            del loss
             optimizer.step()
         mean_loss = losses.mean()
         if torch.isnan(mean_loss):
@@ -356,47 +346,44 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         })
 
         if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0:
-            torch.cuda.empty_cache()
             last_saved_image = os.path.join(images_dir, f'{hypernetwork_name}-{hypernetwork.step}.png')
-            with torch.no_grad():
-                hypernetwork.eval()
-                shared.sd_model.cond_stage_model.to(devices.device)
-                shared.sd_model.first_stage_model.to(devices.device)
 
-                p = processing.StableDiffusionProcessingTxt2Img(
-                    sd_model=shared.sd_model,
-                    do_not_save_grid=True,
-                    do_not_save_samples=True,
-                )
+            optimizer.zero_grad()
+            shared.sd_model.cond_stage_model.to(devices.device)
+            shared.sd_model.first_stage_model.to(devices.device)
 
-                if preview_from_txt2img:
-                    p.prompt = preview_prompt
-                    p.negative_prompt = preview_negative_prompt
-                    p.steps = preview_steps
-                    p.sampler_index = preview_sampler_index
-                    p.cfg_scale = preview_cfg_scale
-                    p.seed = preview_seed
-                    p.width = preview_width
-                    p.height = preview_height
-                else:
-                    p.prompt = entries[0].cond_text
-                    p.steps = 20
+            p = processing.StableDiffusionProcessingTxt2Img(
+                sd_model=shared.sd_model,
+                do_not_save_grid=True,
+                do_not_save_samples=True,
+            )
 
-                preview_text = p.prompt
+            if preview_from_txt2img:
+                p.prompt = preview_prompt
+                p.negative_prompt = preview_negative_prompt
+                p.steps = preview_steps
+                p.sampler_index = preview_sampler_index
+                p.cfg_scale = preview_cfg_scale
+                p.seed = preview_seed
+                p.width = preview_width
+                p.height = preview_height
+            else:
+                p.prompt = entries[0].cond_text
+                p.steps = 20
 
-                processed = processing.process_images(p)
-                image = processed.images[0] if len(processed.images)>0 else None
+            preview_text = p.prompt
 
-                if unload:
-                    shared.sd_model.cond_stage_model.to(devices.cpu)
-                    shared.sd_model.first_stage_model.to(devices.cpu)
+            processed = processing.process_images(p)
+            image = processed.images[0] if len(processed.images)>0 else None
 
-                if image is not None:
-                    shared.state.current_image = image
-                    image.save(last_saved_image)
-                    last_saved_image += f", prompt: {preview_text}"
+            if unload:
+                shared.sd_model.cond_stage_model.to(devices.cpu)
+                shared.sd_model.first_stage_model.to(devices.cpu)
 
-            hypernetwork.train()
+            if image is not None:
+                shared.state.current_image = image
+                image.save(last_saved_image)
+                last_saved_image += f", prompt: {preview_text}"
 
         shared.state.job_no = hypernetwork.step
 

From bb0f1a2cdae3410a41d06ae878f56e29b8154c41 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 22 Oct 2022 01:23:00 +0800
Subject: [PATCH 031/321] inspiration finished

---
 javascript/inspiration.js |  27 +++---
 modules/inspiration.py    | 192 +++++++++++++++++++++++++-------------
 modules/shared.py         |   6 ++
 modules/ui.py             |   2 +-
 webui.py                  |   3 +-
 5 files changed, 151 insertions(+), 79 deletions(-)

diff --git a/javascript/inspiration.js b/javascript/inspiration.js
index e1c0e114..791a80c9 100644
--- a/javascript/inspiration.js
+++ b/javascript/inspiration.js
@@ -1,25 +1,31 @@
 function public_image_index_in_gallery(item, gallery){
+    var imgs = gallery.querySelectorAll("img.h-full")
     var index;
     var i = 0;
-    gallery.querySelectorAll("img").forEach(function(e){
+    imgs.forEach(function(e){
         if (e == item)
             index = i;
         i += 1;
     });
+    var num = imgs.length / 2
+    index = (index < num) ? index : (index - num)
     return index;
 }
 
-function inspiration_selected(name, types, name_list){
+function inspiration_selected(name, name_list){
     var btn = gradioApp().getElementById("inspiration_select_button")
-    return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index"), types];
-}    
+    return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index")];
+}   
+function inspiration_click_get_button(){
+    gradioApp().getElementById("inspiration_get_button").click();
+}  
 var inspiration_image_click = function(){
     var index =  public_image_index_in_gallery(this, gradioApp().getElementById("inspiration_gallery"));
-    var btn = gradioApp().getElementById("inspiration_select_button")
-    btn.setAttribute("img-index", index)
-    setTimeout(function(btn){btn.click();}, 10, btn)
+    var btn = gradioApp().getElementById("inspiration_select_button");
+    btn.setAttribute("img-index", index);
+    setTimeout(function(btn){btn.click();}, 10, btn);
 }
-
+ 
 document.addEventListener("DOMContentLoaded", function() {
     var mutationObserver = new MutationObserver(function(m){
         var gallery = gradioApp().getElementById("inspiration_gallery")
@@ -27,11 +33,10 @@ document.addEventListener("DOMContentLoaded", function() {
             var node = gallery.querySelector(".absolute.backdrop-blur.h-full")
             if (node) {
                 node.style.display = "None"; //parentNode.removeChild(node) 
-            }
-            
+            } 
             gallery.querySelectorAll('img').forEach(function(e){    
                 e.onclick = inspiration_image_click
-        }) 
+            });
 
         }
 
diff --git a/modules/inspiration.py b/modules/inspiration.py
index 456bfcb5..f72ebf3a 100644
--- a/modules/inspiration.py
+++ b/modules/inspiration.py
@@ -1,122 +1,182 @@
 import os
 import random
-import gradio 
-inspiration_path = "inspiration"
-inspiration_system_path = os.path.join(inspiration_path, "system")
-def read_name_list(file):
+import gradio
+from modules.shared import opts
+inspiration_system_path = os.path.join(opts.inspiration_dir, "system")
+def read_name_list(file, types=None, keyword=None):
     if not os.path.exists(file):
         return []
-    f = open(file, "r")
     ret = []
+    f = open(file, "r")    
     line = f.readline()
     while len(line) > 0:
         line = line.rstrip("\n")
-        ret.append(line)
-    print(ret)
+        if types is not None:
+            dirname = os.path.split(line)
+            if dirname[0] in types and keyword in dirname[1]:
+                ret.append(line)
+        else:
+            ret.append(line)
+        line = f.readline()
     return ret
 
 def save_name_list(file, name): 
-    print(file)
-    f = open(file, "a")
-    f.write(name + "\n")
+    with open(file, "a") as f:
+        f.write(name + "\n")
 
-def get_inspiration_images(source, types):   
-    path = os.path.join(inspiration_path , types) 
+def get_types_list():
+    files = os.listdir(opts.inspiration_dir)
+    types = []
+    for x in files:
+        path = os.path.join(opts.inspiration_dir, x)
+        if x[0] == ".":
+            continue
+        if not os.path.isdir(path):
+            continue
+        if path == inspiration_system_path:
+            continue
+        types.append(x)
+    return types
+
+def get_inspiration_images(source, types, keyword):
+    get_num = int(opts.inspiration_rows_num * opts.inspiration_cols_num)
     if source == "Favorites":
-        names = read_name_list(os.path.join(inspiration_system_path, types + "_faverites.txt"))
-        names = random.sample(names, 25)
+        names = read_name_list(os.path.join(inspiration_system_path, "faverites.txt"), types, keyword)
+        names = random.sample(names, get_num) if len(names) > get_num else names
     elif source == "Abandoned":
-        names = read_name_list(os.path.join(inspiration_system_path, types + "_abondened.txt"))
-        names = random.sample(names, 25)
-    elif source == "Exclude abandoned":
-        abondened = read_name_list(os.path.join(inspiration_system_path, types + "_abondened.txt"))        
-        all_names = os.listdir(path)
-        names = []
-        while len(names) < 25:
-            name = random.choice(all_names)
-            if name not in abondened:
-                names.append(name)
+        names = read_name_list(os.path.join(inspiration_system_path, "abandoned.txt"), types, keyword)
+        print(names)
+        names = random.sample(names, get_num) if len(names) > get_num else names
+    elif source == "Exclude abandoned":        
+        abandoned = read_name_list(os.path.join(inspiration_system_path, "abandoned.txt"), types, keyword)  
+        all_names = []
+        for tp in types:
+            name_list = os.listdir(os.path.join(opts.inspiration_dir, tp))
+            all_names += [os.path.join(tp, x) for x in name_list if keyword in x]
+        
+        if len(all_names) > get_num:
+            names = []
+            while len(names) < get_num:
+                name = random.choice(all_names)
+                if name not in abandoned:
+                    names.append(name)
+        else:
+            names = all_names
     else:
-        names = random.sample(os.listdir(path), 25)
-    names = random.sample(names, 25)
+        all_names = []
+        for tp in types:
+            name_list = os.listdir(os.path.join(opts.inspiration_dir, tp))
+            all_names += [os.path.join(tp, x) for x in name_list if keyword in x]
+        names = random.sample(all_names, get_num) if len(all_names) > get_num else all_names
     image_list = []
     for a in names:
-        image_path = os.path.join(path, a)
+        image_path = os.path.join(opts.inspiration_dir, a)
         images = os.listdir(image_path)        
-        image_list.append(os.path.join(image_path, random.choice(images)))
-    return image_list, names
+        image_list.append((os.path.join(image_path, random.choice(images)), a))
+    return image_list, names, ""
 
-def select_click(index, types, name_list):
+def select_click(index, name_list):
     name = name_list[int(index)]
-    path = os.path.join(inspiration_path, types, name)
+    path = os.path.join(opts.inspiration_dir, name)
     images = os.listdir(path)
-    return name, [os.path.join(path, x) for x in images]
+    return name, [os.path.join(path, x) for x in images], ""
 
-def give_up_click(name, types):
-    file = os.path.join(inspiration_system_path, types + "_abandoned.txt")
+def give_up_click(name):
+    file = os.path.join(inspiration_system_path, "abandoned.txt")
     name_list = read_name_list(file)
     if name not in name_list:
         save_name_list(file, name)
+    return "Added to abandoned list"
    
-def collect_click(name, types):
-    file = os.path.join(inspiration_system_path, types + "_faverites.txt")
-    print(file)
+def collect_click(name):
+    file = os.path.join(inspiration_system_path, "faverites.txt")
     name_list = read_name_list(file)
-    print(name_list)
     if name not in name_list:
         save_name_list(file, name)
+    return "Added to faverite list"
 
-def moveout_click(name, types):
-    file = os.path.join(inspiration_system_path, types + "_faverites.txt")
+def moveout_click(name, source):
+    if source == "Abandoned":
+        file = os.path.join(inspiration_system_path, "abandoned.txt")
+    if source == "Favorites":
+        file = os.path.join(inspiration_system_path, "faverites.txt")
+    else:
+        return None
     name_list = read_name_list(file)
-    if name not in name_list:
-        save_name_list(file, name)
+    os.remove(file)
+    with open(file, "a") as f:
+        for a in name_list:
+            if a != name:
+                f.write(a)
+    return "Moved out {name} from {source} list"
 
 def source_change(source):
-    if source == "Abandoned" or source == "Favorites":
-        return gradio.Button.update(visible=True, value=f"Move out {source}")
+    if source in ["Abandoned", "Favorites"]:
+        return gradio.update(visible=True), []
     else:
-        return gradio.Button.update(visible=False)
+        return gradio.update(visible=False), []
+def add_to_prompt(name, prompt):
+    print(name, prompt)
+    name = os.path.basename(name)
+    return prompt + "," + name
 
-def ui(gr, opts):     
+def ui(gr, opts, txt2img_prompt, img2img_prompt):     
     with gr.Blocks(analytics_enabled=False) as inspiration:
-        flag = os.path.exists(inspiration_path)        
+        flag = os.path.exists(opts.inspiration_dir)        
         if flag:
-            types = os.listdir(inspiration_path)
-            types = [x for x in types if x != "system"]
+            types = get_types_list()
             flag = len(types) > 0
-        if not flag:
-            os.mkdir(inspiration_path)
+        else:
+            os.makedirs(opts.inspiration_dir)
+        if not flag:            
             gr.HTML("""
-                <div align='center' width="50%>You need get "inspiration" images first. You can create these images by run "Create inspiration images" script in txt2img page, or download zip file from here and unzip these file under fold "inpiration".</div>"
+                <div align='center' width="50%"><h2>To activate inspiration function, you need get "inspiration" images first. </h2><br>
+                You can create these images by run "Create inspiration images" script in txt2img page, <br> you can get the artists or art styles list from here<br>
+                <a>https://github.com/pharmapsychotic/clip-interrogator/tree/main/data</a><br>
+                download these files, and select these files in the "Create inspiration images" script UI<br>
+                There about 6000 artists and art styles in these files. <br>This takes server hours depending on your GPU type and how many pictures  you generate for each artist/style
+                <br>I suggest at least four images for each<br><br><br>
+                <h2>You can also download generated pictures from here:</h2><br>
+                <a>https://huggingface.co/datasets/yfszzx/inspiration</a><br>
+                unzip the file to the project directory of webui<br>
+                and restart webui, and enjoy the joy of creation!<br></div>
                 """)           
             return inspiration
         if not os.path.exists(inspiration_system_path):
             os.mkdir(inspiration_system_path)
-        gallery, names = get_inspiration_images("Exclude abandoned", types[0])   
         with gr.Row():
             with gr.Column(scale=2):                
-                inspiration_gallery = gr.Gallery(gallery, show_label=False, elem_id="inspiration_gallery").style(grid=5, height='auto')
+                inspiration_gallery = gr.Gallery(show_label=False, elem_id="inspiration_gallery").style(grid=opts.inspiration_cols_num, height='auto')
             with gr.Column(scale=1):
-                types = gr.Dropdown(choices=types, value=types[0], label="Type", visible=len(types) > 1)
+                print(types)
+                types = gr.CheckboxGroup(choices=types, value=types)
+                keyword = gr.Textbox("", label="Key word")                
                 with gr.Row():                    
                     source = gr.Dropdown(choices=["All", "Favorites", "Exclude abandoned", "Abandoned"], value="Exclude abandoned", label="Source")
-                    get_inspiration = gr.Button("Get inspiration")
+                    get_inspiration = gr.Button("Get inspiration", elem_id="inspiration_get_button")
                 name = gr.Textbox(show_label=False, interactive=False)
                 with gr.Row(): 
                     send_to_txt2img = gr.Button('to txt2img')
                     send_to_img2img = gr.Button('to img2img')
-                style_gallery = gr.Gallery(show_label=False, elem_id="inspiration_style_gallery").style(grid=2, height='auto')                          
-               
+                style_gallery = gr.Gallery(show_label=False).style(grid=2, height='auto') 
                 collect = gr.Button('Collect')     
-                give_up = gr.Button("Don't show any more")
+                give_up = gr.Button("Don't show again")
                 moveout = gr.Button("Move out", visible=False)
-        with gr.Row():
+                warning = gr.HTML()
+        with gr.Row(visible=False):
             select_button = gr.Button('set button', elem_id="inspiration_select_button")
-            name_list = gr.State(names)
-        source.change(source_change, inputs=[source], outputs=[moveout])
-        get_inspiration.click(get_inspiration_images, inputs=[source, types], outputs=[inspiration_gallery, name_list])
-        select_button.click(select_click, _js="inspiration_selected", inputs=[name, types, name_list], outputs=[name, style_gallery])
-        give_up.click(give_up_click, inputs=[name, types], outputs=None)
-        collect.click(collect_click, inputs=[name, types], outputs=None)
+            name_list = gr.State()
+        
+        get_inspiration.click(get_inspiration_images, inputs=[source, types, keyword], outputs=[inspiration_gallery, name_list, keyword])
+        source.change(source_change, inputs=[source], outputs=[moveout, style_gallery])
+        source.change(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
+        keyword.submit(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
+        select_button.click(select_click, _js="inspiration_selected", inputs=[name, name_list], outputs=[name, style_gallery, warning])
+        give_up.click(give_up_click, inputs=[name], outputs=[warning])
+        collect.click(collect_click, inputs=[name], outputs=[warning])
+        moveout.click(moveout_click, inputs=[name, source], outputs=[warning])
+        send_to_txt2img.click(add_to_prompt, inputs=[name, txt2img_prompt], outputs=[txt2img_prompt])
+        send_to_img2img.click(add_to_prompt, inputs=[name, img2img_prompt], outputs=[img2img_prompt])
+        send_to_txt2img.click(None, _js='switch_to_txt2img', inputs=None, outputs=None)
+        send_to_img2img.click(None, _js="switch_to_img2img_img2img", inputs=None, outputs=None)
     return inspiration
diff --git a/modules/shared.py b/modules/shared.py
index ae033710..564b1b8d 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -316,6 +316,12 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
 }))
 
+options_templates.update(options_section(('inspiration', "Inspiration"), {
+    "inspiration_dir": OptionInfo("inspiration", "Directory of inspiration", component_args=hide_dirs),
+    "inspiration_max_samples": OptionInfo(4, "Maximum number of samples, used to determine which folders to skip when continue running the create script", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
+    "inspiration_rows_num":  OptionInfo(4, "Rows of inspiration interface frame", gr.Slider, {"minimum": 4, "maximum": 16, "step": 1}),
+    "inspiration_cols_num":  OptionInfo(8, "Columns of inspiration interface frame", gr.Slider, {"minimum": 4, "maximum": 16, "step": 1}),
+}))
 
 class Options:
     data = None
diff --git a/modules/ui.py b/modules/ui.py
index 6a0a3c3b..b651eb9c 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1180,7 +1180,7 @@ def create_ui(wrap_gradio_gpu_call):
     }
 
     browser_interface = images_history.create_history_tabs(gr, opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
-    inspiration_interface = inspiration.ui(gr, opts)
+    inspiration_interface = inspiration.ui(gr, opts, txt2img_prompt, img2img_prompt)
 
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):
diff --git a/webui.py b/webui.py
index 5923905f..5ccae715 100644
--- a/webui.py
+++ b/webui.py
@@ -72,6 +72,7 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
     return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
 
 def initialize():
+    modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
     if cmd_opts.ui_debug_mode:
         class enmpty():
             name = None
@@ -84,7 +85,7 @@ def initialize():
     shared.face_restorers.append(modules.face_restoration.FaceRestoration())
     modelloader.load_upscalers()
 
-    modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
+    
 
     shared.sd_model = modules.sd_models.load_model()
     shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))

From 2797b2cbf29a928ea84522d8d9478d47c7feede9 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 22 Oct 2022 01:28:02 +0800
Subject: [PATCH 032/321] inspiration finished

---
 javascript/imageviewer.js | 1 +
 1 file changed, 1 insertion(+)

diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js
index d4ab6984..9e380c65 100644
--- a/javascript/imageviewer.js
+++ b/javascript/imageviewer.js
@@ -116,6 +116,7 @@ function showGalleryImage() {
                 e.dataset.modded = true;
                 if(e && e.parentElement.tagName == 'DIV'){
                     e.style.cursor='pointer'
+                    e.style.userSelect='none'
                     e.addEventListener('click', function (evt) {
                         if(!opts.js_modal_lightbox) return;
                         modalZoomSet(gradioApp().getElementById('modalImage'), opts.js_modal_lightbox_initially_zoomed)

From 58ee008f0f559a947cc280a552d97050e638d611 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 22 Oct 2022 01:30:12 +0800
Subject: [PATCH 033/321] inspiration finished

---
 scripts/create_inspiration_images.py | 76 ++++++++++++++++------------
 1 file changed, 44 insertions(+), 32 deletions(-)

diff --git a/scripts/create_inspiration_images.py b/scripts/create_inspiration_images.py
index 6a20def8..2fd30578 100644
--- a/scripts/create_inspiration_images.py
+++ b/scripts/create_inspiration_images.py
@@ -2,44 +2,56 @@ import csv, os, shutil
 import modules.scripts as scripts
 from modules import processing, shared, sd_samplers, images
 from modules.processing import Processed
-
-
+from modules.shared import opts
+import gradio
 class Script(scripts.Script):
     def title(self):
-        return "Create artists style image"
+        return "Create inspiration images"
 
     def show(self, is_img2img):
-        return not is_img2img
+        return True
 
     def ui(self, is_img2img):
-       return []
-    def show(self, is_img2img):
-        return not is_img2img
+        file = gradio.Files(label="Artist or styles name list. '.txt' files with one name per line",)
+        with gradio.Row():
+            prefix = gradio.Textbox("a painting in", label="Prompt words before artist or style name", file_count="multiple")
+            suffix= gradio.Textbox("style", label="Prompt words after artist or style name")
+        negative_prompt = gradio.Textbox("picture frame, portrait photo", label="Negative Prompt")
+        with gradio.Row():
+            batch_size = gradio.Number(1, label="Batch size")
+            batch_count = gradio.Number(2, label="Batch count")            
+        return [batch_size, batch_count, prefix, suffix, negative_prompt, file]
 
-    def run(self, p): #, max_snapshoots_num):
-        path = os.path.join("style_snapshoot", "artist")
-        if not os.path.exists(path):
-            os.makedirs(path) 
+    def run(self, p, batch_size, batch_count, prefix, suffix, negative_prompt, files):
+        p.batch_size = int(batch_size)
+        p.n_iterint = int(batch_count)
+        p.negative_prompt = negative_prompt        
         p.do_not_save_samples = True
-        p.do_not_save_grid = True
-        p.negative_prompt = "portrait photo"
-        f = open('artists.csv')
-        f_csv = csv.reader(f)        
-        for row in f_csv:
-            name = row[0]
-            artist_path = os.path.join(path, name)  
-            if not os.path.exists(artist_path):
-                os.mkdir(artist_path)  
-            if len(os.listdir(artist_path)) > 0:
-                continue
-            print(name)
-            p.prompt = name
-            processed = processing.process_images(p)
-            for img in  processed.images:
-                i = 0
-                filename = os.path.join(artist_path,  format(0, "03d") + ".jpg")
-                while os.path.exists(filename):
-                    i += 1
-                    filename = os.path.join(artist_path,  format(i, "03d") + ".jpg")
-                img.save(filename, quality=70)
+        p.do_not_save_grid = True        
+        for file in files:
+            tp = file.orig_name.split(".")[0]
+            print(tp)
+            path = os.path.join(opts.inspiration_dir, tp)
+            if not os.path.exists(path):
+                os.makedirs(path) 
+            f = open(file.name, "r")
+            line = f.readline() 
+            while len(line) > 0: 
+                name = line.rstrip("\n").split(",")[0]
+                line = f.readline() 
+                artist_path = os.path.join(path, name)  
+                if not os.path.exists(artist_path):
+                    os.mkdir(artist_path)  
+                if len(os.listdir(artist_path)) >= opts.inspiration_max_samples:
+                    continue
+                p.prompt = f"{prefix} {name} {suffix}"
+                print(p.prompt)
+                processed = processing.process_images(p)
+                for img in  processed.images:
+                    i = 0
+                    filename = os.path.join(artist_path,  format(0, "03d") + ".jpg")
+                    while os.path.exists(filename):
+                        i += 1
+                        filename = os.path.join(artist_path,  format(i, "03d") + ".jpg")
+                    img.save(filename, quality=80)
         return processed

From 57eb54b838faa383c10079e1bb5471b7bee6a695 Mon Sep 17 00:00:00 2001
From: Extraltodeus <extraltodeus@gmail.com>
Date: Sat, 22 Oct 2022 00:11:07 +0200
Subject: [PATCH 034/321] implement CUDA device selection by ID

---
 modules/devices.py | 21 ++++++++++++++++++---
 1 file changed, 18 insertions(+), 3 deletions(-)

diff --git a/modules/devices.py b/modules/devices.py
index eb422583..8a159282 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -1,7 +1,6 @@
+import sys, os, shlex
 import contextlib
-
 import torch
-
 from modules import errors
 
 # has_mps is only available in nightly pytorch (for now), `getattr` for compatibility
@@ -9,10 +8,26 @@ has_mps = getattr(torch, 'has_mps', False)
 
 cpu = torch.device("cpu")
 
+def extract_device_id(args, name):
+    for x in range(len(args)):
+        if name in args[x]: return args[x+1]
+    return None
 
 def get_optimal_device():
     if torch.cuda.is_available():
-        return torch.device("cuda")
+        # CUDA device selection support:
+        if "shared" not in sys.modules:
+            commandline_args = os.environ.get('COMMANDLINE_ARGS', "") #re-parse the commandline arguments because using the shared.py module creates an import loop.
+            sys.argv += shlex.split(commandline_args)
+            device_id = extract_device_id(sys.argv, '--device-id')
+        else:
+            device_id = shared.cmd_opts.device_id
+            
+        if device_id is not None:
+            cuda_device = f"cuda:{device_id}"
+            return torch.device(cuda_device)
+        else:
+            return torch.device("cuda")
 
     if has_mps:
         return torch.device("mps")

From 29bfacd63cb5c73b9643d94f255cca818fd49d9c Mon Sep 17 00:00:00 2001
From: Extraltodeus <extraltodeus@gmail.com>
Date: Sat, 22 Oct 2022 00:12:46 +0200
Subject: [PATCH 035/321] implement CUDA device selection, --device-id arg

---
 modules/shared.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/shared.py b/modules/shared.py
index 41d7f08e..03032a47 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -80,6 +80,7 @@ parser.add_argument('--vae-path', type=str, help='Path to Variational Autoencode
 parser.add_argument("--disable-safe-unpickle", action='store_true', help="disable checking pytorch models for malicious code", default=False)
 parser.add_argument("--api", action='store_true', help="use api=True to launch the api with the webui")
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
+parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
 
 cmd_opts = parser.parse_args()
 restricted_opts = [

From 40ddb6df61564684263c7442bacf61efe3882b87 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 22 Oct 2022 10:16:22 +0800
Subject: [PATCH 036/321] inspiration perfected

---
 javascript/inspiration.js | 19 ++++++-----
 modules/inspiration.py    | 71 +++++++++++++++++++++------------------
 2 files changed, 49 insertions(+), 41 deletions(-)

diff --git a/javascript/inspiration.js b/javascript/inspiration.js
index 791a80c9..39844544 100644
--- a/javascript/inspiration.js
+++ b/javascript/inspiration.js
@@ -1,5 +1,5 @@
 function public_image_index_in_gallery(item, gallery){
-    var imgs = gallery.querySelectorAll("img.h-full")
+    var imgs = gallery.querySelectorAll("img.h-full")    
     var index;
     var i = 0;
     imgs.forEach(function(e){
@@ -7,18 +7,23 @@ function public_image_index_in_gallery(item, gallery){
             index = i;
         i += 1;
     });
-    var num = imgs.length / 2
-    index = (index < num) ? index : (index - num)
+    var all_imgs = gallery.querySelectorAll("img")
+    if (all_imgs.length > imgs.length){
+        var num = imgs.length / 2
+        index = (index < num) ? index : (index - num)
+    }   
     return index;
 }
 
 function inspiration_selected(name, name_list){
     var btn = gradioApp().getElementById("inspiration_select_button")
     return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index")];
-}   
+}  
+
 function inspiration_click_get_button(){
     gradioApp().getElementById("inspiration_get_button").click();
 }  
+
 var inspiration_image_click = function(){
     var index =  public_image_index_in_gallery(this, gradioApp().getElementById("inspiration_gallery"));
     var btn = gradioApp().getElementById("inspiration_select_button");
@@ -32,16 +37,12 @@ document.addEventListener("DOMContentLoaded", function() {
         if (gallery) {
             var node = gallery.querySelector(".absolute.backdrop-blur.h-full")
             if (node) {
-                node.style.display = "None"; //parentNode.removeChild(node) 
+                node.style.display = "None";
             } 
             gallery.querySelectorAll('img').forEach(function(e){    
                 e.onclick = inspiration_image_click
             });
-
         }
-
-
     });
     mutationObserver.observe( gradioApp(), { childList:true, subtree:true });
-
 });
diff --git a/modules/inspiration.py b/modules/inspiration.py
index f72ebf3a..319183ab 100644
--- a/modules/inspiration.py
+++ b/modules/inspiration.py
@@ -13,7 +13,7 @@ def read_name_list(file, types=None, keyword=None):
         line = line.rstrip("\n")
         if types is not None:
             dirname = os.path.split(line)
-            if dirname[0] in types and keyword in dirname[1]:
+            if dirname[0] in types and keyword in dirname[1].lower():
                 ret.append(line)
         else:
             ret.append(line)
@@ -21,8 +21,10 @@ def read_name_list(file, types=None, keyword=None):
     return ret
 
 def save_name_list(file, name): 
-    with open(file, "a") as f:
-        f.write(name + "\n")
+    name_list = read_name_list(file)
+    if name not in name_list:
+        with open(file, "a") as f:
+            f.write(name + "\n")
 
 def get_types_list():
     files = os.listdir(opts.inspiration_dir)
@@ -39,20 +41,20 @@ def get_types_list():
     return types
 
 def get_inspiration_images(source, types, keyword):
+    keyword = keyword.strip(" ").lower()
     get_num = int(opts.inspiration_rows_num * opts.inspiration_cols_num)
     if source == "Favorites":
         names = read_name_list(os.path.join(inspiration_system_path, "faverites.txt"), types, keyword)
         names = random.sample(names, get_num) if len(names) > get_num else names
     elif source == "Abandoned":
         names = read_name_list(os.path.join(inspiration_system_path, "abandoned.txt"), types, keyword)
-        print(names)
         names = random.sample(names, get_num) if len(names) > get_num else names
     elif source == "Exclude abandoned":        
         abandoned = read_name_list(os.path.join(inspiration_system_path, "abandoned.txt"), types, keyword)  
         all_names = []
         for tp in types:
             name_list = os.listdir(os.path.join(opts.inspiration_dir, tp))
-            all_names += [os.path.join(tp, x) for x in name_list if keyword in x]
+            all_names += [os.path.join(tp, x) for x in name_list if keyword in x.lower()]
         
         if len(all_names) > get_num:
             names = []
@@ -66,14 +68,14 @@ def get_inspiration_images(source, types, keyword):
         all_names = []
         for tp in types:
             name_list = os.listdir(os.path.join(opts.inspiration_dir, tp))
-            all_names += [os.path.join(tp, x) for x in name_list if keyword in x]
+            all_names += [os.path.join(tp, x) for x in name_list if keyword in x.lower()]
         names = random.sample(all_names, get_num) if len(all_names) > get_num else all_names
     image_list = []
     for a in names:
         image_path = os.path.join(opts.inspiration_dir, a)
         images = os.listdir(image_path)        
         image_list.append((os.path.join(image_path, random.choice(images)), a))
-    return image_list, names, ""
+    return image_list, names
 
 def select_click(index, name_list):
     name = name_list[int(index)]
@@ -83,22 +85,18 @@ def select_click(index, name_list):
 
 def give_up_click(name):
     file = os.path.join(inspiration_system_path, "abandoned.txt")
-    name_list = read_name_list(file)
-    if name not in name_list:
-        save_name_list(file, name)
+    save_name_list(file, name)
     return "Added to abandoned list"
    
 def collect_click(name):
     file = os.path.join(inspiration_system_path, "faverites.txt")
-    name_list = read_name_list(file)
-    if name not in name_list:
-        save_name_list(file, name)
+    save_name_list(file, name)
     return "Added to faverite list"
 
 def moveout_click(name, source):
     if source == "Abandoned":
         file = os.path.join(inspiration_system_path, "abandoned.txt")
-    if source == "Favorites":
+    elif source == "Favorites":
         file = os.path.join(inspiration_system_path, "faverites.txt")
     else:
         return None
@@ -107,8 +105,8 @@ def moveout_click(name, source):
     with open(file, "a") as f:
         for a in name_list:
             if a != name:
-                f.write(a)
-    return "Moved out {name} from {source} list"
+                f.write(a + "\n")
+    return f"Moved out {name} from {source} list"
 
 def source_change(source):
     if source in ["Abandoned", "Favorites"]:
@@ -116,10 +114,12 @@ def source_change(source):
     else:
         return gradio.update(visible=False), []
 def add_to_prompt(name, prompt):
-    print(name, prompt)
     name = os.path.basename(name)
     return prompt + "," + name
 
+def clear_keyword():
+    return ""
+
 def ui(gr, opts, txt2img_prompt, img2img_prompt):     
     with gr.Blocks(analytics_enabled=False) as inspiration:
         flag = os.path.exists(opts.inspiration_dir)        
@@ -132,15 +132,15 @@ def ui(gr, opts, txt2img_prompt, img2img_prompt):
             gr.HTML("""
                 <div align='center' width="50%"><h2>To activate inspiration function, you need get "inspiration" images first. </h2><br>
                 You can create these images by run "Create inspiration images" script in txt2img page, <br> you can get the artists or art styles list from here<br>
-                <a>https://github.com/pharmapsychotic/clip-interrogator/tree/main/data</a><br>
+                <a href="https://github.com/pharmapsychotic/clip-interrogator/tree/main/data">https://github.com/pharmapsychotic/clip-interrogator/tree/main/data</a><br>
                 download these files, and select these files in the "Create inspiration images" script UI<br>
                 There about 6000 artists and art styles in these files. <br>This takes server hours depending on your GPU type and how many pictures  you generate for each artist/style
                 <br>I suggest at least four images for each<br><br><br>
                 <h2>You can also download generated pictures from here:</h2><br>
-                <a>https://huggingface.co/datasets/yfszzx/inspiration</a><br>
+                <a href="https://huggingface.co/datasets/yfszzx/inspiration">https://huggingface.co/datasets/yfszzx/inspiration</a><br>
                 unzip the file to the project directory of webui<br>
                 and restart webui, and enjoy the joy of creation!<br></div>
-                """)           
+                """)      
             return inspiration
         if not os.path.exists(inspiration_system_path):
             os.mkdir(inspiration_system_path)
@@ -148,35 +148,42 @@ def ui(gr, opts, txt2img_prompt, img2img_prompt):
             with gr.Column(scale=2):                
                 inspiration_gallery = gr.Gallery(show_label=False, elem_id="inspiration_gallery").style(grid=opts.inspiration_cols_num, height='auto')
             with gr.Column(scale=1):
-                print(types)
                 types = gr.CheckboxGroup(choices=types, value=types)
-                keyword = gr.Textbox("", label="Key word")                
-                with gr.Row():                    
-                    source = gr.Dropdown(choices=["All", "Favorites", "Exclude abandoned", "Abandoned"], value="Exclude abandoned", label="Source")
-                    get_inspiration = gr.Button("Get inspiration", elem_id="inspiration_get_button")
-                name = gr.Textbox(show_label=False, interactive=False)
                 with gr.Row(): 
+                    source = gr.Dropdown(choices=["All", "Favorites", "Exclude abandoned", "Abandoned"], value="Exclude abandoned", label="Source")
+                    keyword = gr.Textbox("", label="Key word")                                                
+                get_inspiration = gr.Button("Get inspiration", elem_id="inspiration_get_button")   
+                name = gr.Textbox(show_label=False, interactive=False)      
+                with gr.Row():                     
                     send_to_txt2img = gr.Button('to txt2img')
                     send_to_img2img = gr.Button('to img2img')
                 style_gallery = gr.Gallery(show_label=False).style(grid=2, height='auto') 
-                collect = gr.Button('Collect')     
-                give_up = gr.Button("Don't show again")
-                moveout = gr.Button("Move out", visible=False)
                 warning = gr.HTML()
+                with gr.Row():
+                    collect = gr.Button('Collect')     
+                    give_up = gr.Button("Don't show again")
+                moveout = gr.Button("Move out", visible=False)
+                
         with gr.Row(visible=False):
             select_button = gr.Button('set button', elem_id="inspiration_select_button")
             name_list = gr.State()
         
-        get_inspiration.click(get_inspiration_images, inputs=[source, types, keyword], outputs=[inspiration_gallery, name_list, keyword])
-        source.change(source_change, inputs=[source], outputs=[moveout, style_gallery])
-        source.change(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
+        get_inspiration.click(get_inspiration_images, inputs=[source, types, keyword], outputs=[inspiration_gallery, name_list])
         keyword.submit(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
+        source.change(source_change, inputs=[source], outputs=[moveout, style_gallery])
+        source.change(fn=clear_keyword, _js="inspiration_click_get_button", inputs=None, outputs=[keyword])       
+        types.change(fn=clear_keyword, _js="inspiration_click_get_button", inputs=None, outputs=[keyword])  
+
         select_button.click(select_click, _js="inspiration_selected", inputs=[name, name_list], outputs=[name, style_gallery, warning])
         give_up.click(give_up_click, inputs=[name], outputs=[warning])
         collect.click(collect_click, inputs=[name], outputs=[warning])
         moveout.click(moveout_click, inputs=[name, source], outputs=[warning])
+        moveout.click(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
+
         send_to_txt2img.click(add_to_prompt, inputs=[name, txt2img_prompt], outputs=[txt2img_prompt])
         send_to_img2img.click(add_to_prompt, inputs=[name, img2img_prompt], outputs=[img2img_prompt])
+        send_to_txt2img.click(collect_click, inputs=[name], outputs=[warning])
+        send_to_img2img.click(collect_click, inputs=[name], outputs=[warning])
         send_to_txt2img.click(None, _js='switch_to_txt2img', inputs=None, outputs=None)
         send_to_img2img.click(None, _js="switch_to_img2img_img2img", inputs=None, outputs=None)
     return inspiration

From d93ea5cdeb2fd3607b7265271ccab2c9bf4c1156 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 22 Oct 2022 10:21:21 +0800
Subject: [PATCH 037/321] inspiration perfected

---
 modules/inspiration.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/modules/inspiration.py b/modules/inspiration.py
index 319183ab..94ff139a 100644
--- a/modules/inspiration.py
+++ b/modules/inspiration.py
@@ -73,8 +73,11 @@ def get_inspiration_images(source, types, keyword):
     image_list = []
     for a in names:
         image_path = os.path.join(opts.inspiration_dir, a)
-        images = os.listdir(image_path)        
-        image_list.append((os.path.join(image_path, random.choice(images)), a))
+        images = os.listdir(image_path)
+        if len(images) > 0:        
+            image_list.append((os.path.join(image_path, random.choice(images)), a))
+        else:
+            print(image_path)
     return image_list, names
 
 def select_click(index, name_list):

From 67b78f0ea6f196bfdca49932da062631bb40d0b1 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Sat, 22 Oct 2022 10:29:23 +0800
Subject: [PATCH 038/321] inspiration perfected

---
 modules/inspiration.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/modules/inspiration.py b/modules/inspiration.py
index 94ff139a..29cf8297 100644
--- a/modules/inspiration.py
+++ b/modules/inspiration.py
@@ -160,12 +160,13 @@ def ui(gr, opts, txt2img_prompt, img2img_prompt):
                 with gr.Row():                     
                     send_to_txt2img = gr.Button('to txt2img')
                     send_to_img2img = gr.Button('to img2img')
-                style_gallery = gr.Gallery(show_label=False).style(grid=2, height='auto') 
-                warning = gr.HTML()
-                with gr.Row():
                     collect = gr.Button('Collect')     
                     give_up = gr.Button("Don't show again")
-                moveout = gr.Button("Move out", visible=False)
+                    moveout = gr.Button("Move out", visible=False)
+                warning = gr.HTML()
+                style_gallery = gr.Gallery(show_label=False).style(grid=2, height='auto') 
+                    
+               
                 
         with gr.Row(visible=False):
             select_button = gr.Button('set button', elem_id="inspiration_select_button")

From 2b91251637078e04472c91a06a8d9c4db9c1dcf0 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 12:23:45 +0300
Subject: [PATCH 039/321] removed aesthetic gradients as built-in added support
 for extensions

---
 .gitignore                        |   2 +-
 extensions/put extension here.txt |   0
 modules/aesthetic_clip.py         | 241 ------------------------------
 modules/images_history.py         |   2 +-
 modules/img2img.py                |   5 +-
 modules/processing.py             |  35 +++--
 modules/script_callbacks.py       |  42 ++++++
 modules/scripts.py                | 210 +++++++++++++++++++-------
 modules/sd_hijack.py              |   1 -
 modules/sd_models.py              |   7 +-
 modules/shared.py                 |  19 ---
 modules/txt2img.py                |   5 +-
 modules/ui.py                     |  83 ++--------
 webui.py                          |   7 +-
 14 files changed, 249 insertions(+), 410 deletions(-)
 create mode 100644 extensions/put extension here.txt
 delete mode 100644 modules/aesthetic_clip.py
 create mode 100644 modules/script_callbacks.py

diff --git a/.gitignore b/.gitignore
index f9c3357c..2f1e08ed 100644
--- a/.gitignore
+++ b/.gitignore
@@ -27,4 +27,4 @@ __pycache__
 notification.mp3
 /SwinIR
 /textual_inversion
-.vscode
\ No newline at end of file
+.vscode
diff --git a/extensions/put extension here.txt b/extensions/put extension here.txt
new file mode 100644
index 00000000..e69de29b
diff --git a/modules/aesthetic_clip.py b/modules/aesthetic_clip.py
deleted file mode 100644
index 8c828541..00000000
--- a/modules/aesthetic_clip.py
+++ /dev/null
@@ -1,241 +0,0 @@
-import copy
-import itertools
-import os
-from pathlib import Path
-import html
-import gc
-
-import gradio as gr
-import torch
-from PIL import Image
-from torch import optim
-
-from modules import shared
-from transformers import CLIPModel, CLIPProcessor, CLIPTokenizer
-from tqdm.auto import tqdm, trange
-from modules.shared import opts, device
-
-
-def get_all_images_in_folder(folder):
-    return [os.path.join(folder, f) for f in os.listdir(folder) if
-            os.path.isfile(os.path.join(folder, f)) and check_is_valid_image_file(f)]
-
-
-def check_is_valid_image_file(filename):
-    return filename.lower().endswith(('.png', '.jpg', '.jpeg', ".gif", ".tiff", ".webp"))
-
-
-def batched(dataset, total, n=1):
-    for ndx in range(0, total, n):
-        yield [dataset.__getitem__(i) for i in range(ndx, min(ndx + n, total))]
-
-
-def iter_to_batched(iterable, n=1):
-    it = iter(iterable)
-    while True:
-        chunk = tuple(itertools.islice(it, n))
-        if not chunk:
-            return
-        yield chunk
-
-
-def create_ui():
-    import modules.ui
-
-    with gr.Group():
-        with gr.Accordion("Open for Clip Aesthetic!", open=False):
-            with gr.Row():
-                aesthetic_weight = gr.Slider(minimum=0, maximum=1, step=0.01, label="Aesthetic weight",
-                                             value=0.9)
-                aesthetic_steps = gr.Slider(minimum=0, maximum=50, step=1, label="Aesthetic steps", value=5)
-
-            with gr.Row():
-                aesthetic_lr = gr.Textbox(label='Aesthetic learning rate',
-                                          placeholder="Aesthetic learning rate", value="0.0001")
-                aesthetic_slerp = gr.Checkbox(label="Slerp interpolation", value=False)
-                aesthetic_imgs = gr.Dropdown(sorted(shared.aesthetic_embeddings.keys()),
-                                             label="Aesthetic imgs embedding",
-                                             value="None")
-
-                modules.ui.create_refresh_button(aesthetic_imgs, shared.update_aesthetic_embeddings, lambda: {"choices": sorted(shared.aesthetic_embeddings.keys())}, "refresh_aesthetic_embeddings")
-
-            with gr.Row():
-                aesthetic_imgs_text = gr.Textbox(label='Aesthetic text for imgs',
-                                                 placeholder="This text is used to rotate the feature space of the imgs embs",
-                                                 value="")
-                aesthetic_slerp_angle = gr.Slider(label='Slerp angle', minimum=0, maximum=1, step=0.01,
-                                                  value=0.1)
-                aesthetic_text_negative = gr.Checkbox(label="Is negative text", value=False)
-
-    return aesthetic_weight, aesthetic_steps, aesthetic_lr, aesthetic_slerp, aesthetic_imgs, aesthetic_imgs_text, aesthetic_slerp_angle, aesthetic_text_negative
-
-
-aesthetic_clip_model = None
-
-
-def aesthetic_clip():
-    global aesthetic_clip_model
-
-    if aesthetic_clip_model is None or aesthetic_clip_model.name_or_path != shared.sd_model.cond_stage_model.wrapped.transformer.name_or_path:
-        aesthetic_clip_model = CLIPModel.from_pretrained(shared.sd_model.cond_stage_model.wrapped.transformer.name_or_path)
-        aesthetic_clip_model.cpu()
-
-    return aesthetic_clip_model
-
-
-def generate_imgs_embd(name, folder, batch_size):
-    model = aesthetic_clip().to(device)
-    processor = CLIPProcessor.from_pretrained(model.name_or_path)
-
-    with torch.no_grad():
-        embs = []
-        for paths in tqdm(iter_to_batched(get_all_images_in_folder(folder), batch_size),
-                          desc=f"Generating embeddings for {name}"):
-            if shared.state.interrupted:
-                break
-            inputs = processor(images=[Image.open(path) for path in paths], return_tensors="pt").to(device)
-            outputs = model.get_image_features(**inputs).cpu()
-            embs.append(torch.clone(outputs))
-            inputs.to("cpu")
-            del inputs, outputs
-
-        embs = torch.cat(embs, dim=0).mean(dim=0, keepdim=True)
-
-        # The generated embedding will be located here
-        path = str(Path(shared.cmd_opts.aesthetic_embeddings_dir) / f"{name}.pt")
-        torch.save(embs, path)
-
-        model.cpu()
-        del processor
-        del embs
-        gc.collect()
-        torch.cuda.empty_cache()
-        res = f"""
-        Done generating embedding for {name}!
-        Aesthetic embedding saved to {html.escape(path)}
-        """
-        shared.update_aesthetic_embeddings()
-        return gr.Dropdown.update(choices=sorted(shared.aesthetic_embeddings.keys()), label="Imgs embedding",
-                                  value="None"), \
-               gr.Dropdown.update(choices=sorted(shared.aesthetic_embeddings.keys()),
-                                  label="Imgs embedding",
-                                  value="None"), res, ""
-
-
-def slerp(low, high, val):
-    low_norm = low / torch.norm(low, dim=1, keepdim=True)
-    high_norm = high / torch.norm(high, dim=1, keepdim=True)
-    omega = torch.acos((low_norm * high_norm).sum(1))
-    so = torch.sin(omega)
-    res = (torch.sin((1.0 - val) * omega) / so).unsqueeze(1) * low + (torch.sin(val * omega) / so).unsqueeze(1) * high
-    return res
-
-
-class AestheticCLIP:
-    def __init__(self):
-        self.skip = False
-        self.aesthetic_steps = 0
-        self.aesthetic_weight = 0
-        self.aesthetic_lr = 0
-        self.slerp = False
-        self.aesthetic_text_negative = ""
-        self.aesthetic_slerp_angle = 0
-        self.aesthetic_imgs_text = ""
-
-        self.image_embs_name = None
-        self.image_embs = None
-        self.load_image_embs(None)
-
-    def set_aesthetic_params(self, p, aesthetic_lr=0, aesthetic_weight=0, aesthetic_steps=0, image_embs_name=None,
-                             aesthetic_slerp=True, aesthetic_imgs_text="",
-                             aesthetic_slerp_angle=0.15,
-                             aesthetic_text_negative=False):
-        self.aesthetic_imgs_text = aesthetic_imgs_text
-        self.aesthetic_slerp_angle = aesthetic_slerp_angle
-        self.aesthetic_text_negative = aesthetic_text_negative
-        self.slerp = aesthetic_slerp
-        self.aesthetic_lr = aesthetic_lr
-        self.aesthetic_weight = aesthetic_weight
-        self.aesthetic_steps = aesthetic_steps
-        self.load_image_embs(image_embs_name)
-
-        if self.image_embs_name is not None:
-            p.extra_generation_params.update({
-                "Aesthetic LR": aesthetic_lr,
-                "Aesthetic weight": aesthetic_weight,
-                "Aesthetic steps": aesthetic_steps,
-                "Aesthetic embedding": self.image_embs_name,
-                "Aesthetic slerp": aesthetic_slerp,
-                "Aesthetic text": aesthetic_imgs_text,
-                "Aesthetic text negative": aesthetic_text_negative,
-                "Aesthetic slerp angle": aesthetic_slerp_angle,
-            })
-
-    def set_skip(self, skip):
-        self.skip = skip
-
-    def load_image_embs(self, image_embs_name):
-        if image_embs_name is None or len(image_embs_name) == 0 or image_embs_name == "None":
-            image_embs_name = None
-            self.image_embs_name = None
-        if image_embs_name is not None and self.image_embs_name != image_embs_name:
-            self.image_embs_name = image_embs_name
-            self.image_embs = torch.load(shared.aesthetic_embeddings[self.image_embs_name], map_location=device)
-            self.image_embs /= self.image_embs.norm(dim=-1, keepdim=True)
-            self.image_embs.requires_grad_(False)
-
-    def __call__(self, z, remade_batch_tokens):
-        if not self.skip and self.aesthetic_steps != 0 and self.aesthetic_lr != 0 and self.aesthetic_weight != 0 and self.image_embs_name is not None:
-            tokenizer = shared.sd_model.cond_stage_model.tokenizer
-            if not opts.use_old_emphasis_implementation:
-                remade_batch_tokens = [
-                    [tokenizer.bos_token_id] + x[:75] + [tokenizer.eos_token_id] for x in
-                    remade_batch_tokens]
-
-            tokens = torch.asarray(remade_batch_tokens).to(device)
-
-            model = copy.deepcopy(aesthetic_clip()).to(device)
-            model.requires_grad_(True)
-            if self.aesthetic_imgs_text is not None and len(self.aesthetic_imgs_text) > 0:
-                text_embs_2 = model.get_text_features(
-                    **tokenizer([self.aesthetic_imgs_text], padding=True, return_tensors="pt").to(device))
-                if self.aesthetic_text_negative:
-                    text_embs_2 = self.image_embs - text_embs_2
-                    text_embs_2 /= text_embs_2.norm(dim=-1, keepdim=True)
-                img_embs = slerp(self.image_embs, text_embs_2, self.aesthetic_slerp_angle)
-            else:
-                img_embs = self.image_embs
-
-            with torch.enable_grad():
-
-                # We optimize the model to maximize the similarity
-                optimizer = optim.Adam(
-                    model.text_model.parameters(), lr=self.aesthetic_lr
-                )
-
-                for _ in trange(self.aesthetic_steps, desc="Aesthetic optimization"):
-                    text_embs = model.get_text_features(input_ids=tokens)
-                    text_embs = text_embs / text_embs.norm(dim=-1, keepdim=True)
-                    sim = text_embs @ img_embs.T
-                    loss = -sim
-                    optimizer.zero_grad()
-                    loss.mean().backward()
-                    optimizer.step()
-
-                zn = model.text_model(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
-                if opts.CLIP_stop_at_last_layers > 1:
-                    zn = zn.hidden_states[-opts.CLIP_stop_at_last_layers]
-                    zn = model.text_model.final_layer_norm(zn)
-                else:
-                    zn = zn.last_hidden_state
-                model.cpu()
-                del model
-                gc.collect()
-                torch.cuda.empty_cache()
-            zn = torch.concat([zn[77 * i:77 * (i + 1)] for i in range(max(z.shape[1] // 77, 1))], 1)
-            if self.slerp:
-                z = slerp(z, zn, self.aesthetic_weight)
-            else:
-                z = z * (1 - self.aesthetic_weight) + zn * self.aesthetic_weight
-
-        return z
diff --git a/modules/images_history.py b/modules/images_history.py
index 78fd0543..bc5cf11f 100644
--- a/modules/images_history.py
+++ b/modules/images_history.py
@@ -310,7 +310,7 @@ def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
                         forward = gr.Button('Prev batch')
                         backward = gr.Button('Next batch')
                 with gr.Column(scale=3):
-                    load_info =  gr.HTML(visible=not custom_dir)   
+                    load_info =     gr.HTML(visible=not custom_dir)
             with gr.Row(visible=False) as warning:                 
                 warning_box = gr.Textbox("Message", interactive=False)                        
 
diff --git a/modules/img2img.py b/modules/img2img.py
index eea5199b..8d9f7cf9 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -56,7 +56,7 @@ def process_batch(p, input_dir, output_dir, args):
                 processed_image.save(os.path.join(output_dir, filename))
 
 
-def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, init_img, init_img_with_mask, init_img_inpaint, init_mask_inpaint, mask_mode, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, aesthetic_lr=0, aesthetic_weight=0, aesthetic_steps=0, aesthetic_imgs=None, aesthetic_slerp=False, aesthetic_imgs_text="", aesthetic_slerp_angle=0.15, aesthetic_text_negative=False, *args):
+def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, init_img, init_img_with_mask, init_img_inpaint, init_mask_inpaint, mask_mode, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, *args):
     is_inpaint = mode == 1
     is_batch = mode == 2
 
@@ -109,7 +109,8 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro
         inpainting_mask_invert=inpainting_mask_invert,
     )
 
-    shared.aesthetic_clip.set_aesthetic_params(p, float(aesthetic_lr), float(aesthetic_weight), int(aesthetic_steps), aesthetic_imgs, aesthetic_slerp, aesthetic_imgs_text, aesthetic_slerp_angle, aesthetic_text_negative)
+    p.scripts = modules.scripts.scripts_txt2img
+    p.script_args = args
 
     if shared.cmd_opts.enable_console_prompts:
         print(f"\nimg2img: {prompt}", file=shared.progress_print_out)
diff --git a/modules/processing.py b/modules/processing.py
index ff1ec4c9..372489f7 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -104,6 +104,12 @@ class StableDiffusionProcessing():
             self.seed_resize_from_h = 0
             self.seed_resize_from_w = 0
 
+        self.scripts = None
+        self.script_args = None
+        self.all_prompts = None
+        self.all_seeds = None
+        self.all_subseeds = None
+
 
     def init(self, all_prompts, all_seeds, all_subseeds):
         pass
@@ -350,32 +356,35 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
     shared.prompt_styles.apply_styles(p)
 
     if type(p.prompt) == list:
-        all_prompts = p.prompt
+        p.all_prompts = p.prompt
     else:
-        all_prompts = p.batch_size * p.n_iter * [p.prompt]
+        p.all_prompts = p.batch_size * p.n_iter * [p.prompt]
 
     if type(seed) == list:
-        all_seeds = seed
+        p.all_seeds = seed
     else:
-        all_seeds = [int(seed) + (x if p.subseed_strength == 0 else 0) for x in range(len(all_prompts))]
+        p.all_seeds = [int(seed) + (x if p.subseed_strength == 0 else 0) for x in range(len(p.all_prompts))]
 
     if type(subseed) == list:
-        all_subseeds = subseed
+        p.all_subseeds = subseed
     else:
-        all_subseeds = [int(subseed) + x for x in range(len(all_prompts))]
+        p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]
 
     def infotext(iteration=0, position_in_batch=0):
-        return create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration, position_in_batch)
+        return create_infotext(p, p.all_prompts, p.all_seeds, p.all_subseeds, comments, iteration, position_in_batch)
 
     if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings:
         model_hijack.embedding_db.load_textual_inversion_embeddings()
 
+    if p.scripts is not None:
+        p.scripts.run_alwayson_scripts(p)
+
     infotexts = []
     output_images = []
 
     with torch.no_grad(), p.sd_model.ema_scope():
         with devices.autocast():
-            p.init(all_prompts, all_seeds, all_subseeds)
+            p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
 
         if state.job_count == -1:
             state.job_count = p.n_iter
@@ -387,9 +396,9 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
             if state.interrupted:
                 break
 
-            prompts = all_prompts[n * p.batch_size:(n + 1) * p.batch_size]
-            seeds = all_seeds[n * p.batch_size:(n + 1) * p.batch_size]
-            subseeds = all_subseeds[n * p.batch_size:(n + 1) * p.batch_size]
+            prompts = p.all_prompts[n * p.batch_size:(n + 1) * p.batch_size]
+            seeds = p.all_seeds[n * p.batch_size:(n + 1) * p.batch_size]
+            subseeds = p.all_subseeds[n * p.batch_size:(n + 1) * p.batch_size]
 
             if (len(prompts) == 0):
                 break
@@ -490,10 +499,10 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
                 index_of_first_image = 1
 
             if opts.grid_save:
-                images.save_image(grid, p.outpath_grids, "grid", all_seeds[0], all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True)
+                images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True)
 
     devices.torch_gc()
-    return Processed(p, output_images, all_seeds[0], infotext() + "".join(["\n\n" + x for x in comments]), subseed=all_subseeds[0], all_prompts=all_prompts, all_seeds=all_seeds, all_subseeds=all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
+    return Processed(p, output_images, p.all_seeds[0], infotext() + "".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], all_prompts=p.all_prompts, all_seeds=p.all_seeds, all_subseeds=p.all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
 
 
 class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
new file mode 100644
index 00000000..866b7acd
--- /dev/null
+++ b/modules/script_callbacks.py
@@ -0,0 +1,42 @@
+
+callbacks_model_loaded = []
+callbacks_ui_tabs = []
+
+
+def clear_callbacks():
+    callbacks_model_loaded.clear()
+    callbacks_ui_tabs.clear()
+
+
+def model_loaded_callback(sd_model):
+    for callback in callbacks_model_loaded:
+        callback(sd_model)
+
+
+def ui_tabs_callback():
+    res = []
+
+    for callback in callbacks_ui_tabs:
+        res += callback() or []
+
+    return res
+
+
+def on_model_loaded(callback):
+    """register a function to be called when the stable diffusion model is created; the model is
+    passed as an argument"""
+    callbacks_model_loaded.append(callback)
+
+
+def on_ui_tabs(callback):
+    """register a function to be called when the UI is creating new tabs.
+    The function must either return a None, which means no new tabs to be added, or a list, where
+    each element is a tuple:
+        (gradio_component, title, elem_id)
+
+    gradio_component is a gradio component to be used for contents of the tab (usually gr.Blocks)
+    title is tab text displayed to user in the UI
+    elem_id is HTML id for the tab
+    """
+    callbacks_ui_tabs.append(callback)
+
diff --git a/modules/scripts.py b/modules/scripts.py
index 1039fa9c..65f25f49 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -1,86 +1,153 @@
 import os
 import sys
 import traceback
+from collections import namedtuple
 
 import modules.ui as ui
 import gradio as gr
 
 from modules.processing import StableDiffusionProcessing
-from modules import shared
+from modules import shared, paths, script_callbacks
+
+AlwaysVisible = object()
+
 
 class Script:
     filename = None
     args_from = None
     args_to = None
+    alwayson = False
+
+    infotext_fields = None
+    """if set in ui(), this is a list of pairs of gradio component + text; the text will be used when
+    parsing infotext to set the value for the component; see ui.py's txt2img_paste_fields for an example
+    """
 
-    # The title of the script. This is what will be displayed in the dropdown menu.
     def title(self):
+        """this function should return the title of the script. This is what will be displayed in the dropdown menu."""
+
         raise NotImplementedError()
 
-    # How the script is displayed in the UI. See https://gradio.app/docs/#components
-    # for the different UI components you can use and how to create them.
-    # Most UI components can return a value, such as a boolean for a checkbox.
-    # The returned values are passed to the run method as parameters.
     def ui(self, is_img2img):
+        """this function should create gradio UI elements. See https://gradio.app/docs/#components
+        The return value should be an array of all components that are used in processing.
+        Values of those returned componenbts will be passed to run() and process() functions.
+        """
+
         pass
 
-    # Determines when the script should be shown in the dropdown menu via the 
-    # returned value. As an example:
-    # is_img2img is True if the current tab is img2img, and False if it is txt2img.
-    # Thus, return is_img2img to only show the script on the img2img tab.
     def show(self, is_img2img):
+        """
+        is_img2img is True if this function is called for the img2img interface, and Fasle otherwise
+
+        This function should return:
+         - False if the script should not be shown in UI at all
+         - True if the script should be shown in UI if it's scelected in the scripts drowpdown
+         - script.AlwaysVisible if the script should be shown in UI at all times
+         """
+
         return True
 
-    # This is where the additional processing is implemented. The parameters include
-    # self, the model object "p" (a StableDiffusionProcessing class, see
-    # processing.py), and the parameters returned by the ui method.
-    # Custom functions can be defined here, and additional libraries can be imported 
-    # to be used in processing. The return value should be a Processed object, which is
-    # what is returned by the process_images method.
-    def run(self, *args):
+    def run(self, p, *args):
+        """
+        This function is called if the script has been selected in the script dropdown.
+        It must do all processing and return the Processed object with results, same as
+        one returned by processing.process_images.
+
+        Usually the processing is done by calling the processing.process_images function.
+
+        args contains all values returned by components from ui()
+        """
+
         raise NotImplementedError()
 
-    # The description method is currently unused.
-    # To add a description that appears when hovering over the title, amend the "titles" 
-    # dict in script.js to include the script title (returned by title) as a key, and 
-    # your description as the value.
+    def process(self, p, *args):
+        """
+        This function is called before processing begins for AlwaysVisible scripts.
+        scripts. You can modify the processing object (p) here, inject hooks, etc.
+        """
+
+        pass
+
     def describe(self):
+        """unused"""
         return ""
 
 
+current_basedir = paths.script_path
+
+
+def basedir():
+    """returns the base directory for the current script. For scripts in the main scripts directory,
+    this is the main directory (where webui.py resides), and for scripts in extensions directory
+    (ie extensions/aesthetic/script/aesthetic.py), this is extension's directory (extensions/aesthetic)
+    """
+    return current_basedir
+
+
 scripts_data = []
+ScriptFile = namedtuple("ScriptFile", ["basedir", "filename", "path"])
+ScriptClassData = namedtuple("ScriptClassData", ["script_class", "path", "basedir"])
 
 
-def load_scripts(basedir):
-    if not os.path.exists(basedir):
-        return
+def list_scripts(scriptdirname, extension):
+    scripts_list = []
 
-    for filename in sorted(os.listdir(basedir)):
-        path = os.path.join(basedir, filename)
+    basedir = os.path.join(paths.script_path, scriptdirname)
+    if os.path.exists(basedir):
+        for filename in sorted(os.listdir(basedir)):
+            scripts_list.append(ScriptFile(paths.script_path, filename, os.path.join(basedir, filename)))
 
-        if os.path.splitext(path)[1].lower() != '.py':
-            continue
+    extdir = os.path.join(paths.script_path, "extensions")
+    if os.path.exists(extdir):
+        for dirname in sorted(os.listdir(extdir)):
+            dirpath = os.path.join(extdir, dirname)
+            if not os.path.isdir(dirpath):
+                continue
 
-        if not os.path.isfile(path):
-            continue
+            for filename in sorted(os.listdir(os.path.join(dirpath, scriptdirname))):
+                scripts_list.append(ScriptFile(dirpath, filename, os.path.join(dirpath, scriptdirname, filename)))
 
+    scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
+
+    return scripts_list
+
+
+def load_scripts():
+    global current_basedir
+    scripts_data.clear()
+    script_callbacks.clear_callbacks()
+
+    scripts_list = list_scripts("scripts", ".py")
+
+    syspath = sys.path
+
+    for scriptfile in sorted(scripts_list):
         try:
-            with open(path, "r", encoding="utf8") as file:
+            if scriptfile.basedir != paths.script_path:
+                sys.path = [scriptfile.basedir] + sys.path
+            current_basedir = scriptfile.basedir
+
+            with open(scriptfile.path, "r", encoding="utf8") as file:
                 text = file.read()
 
             from types import ModuleType
-            compiled = compile(text, path, 'exec')
-            module = ModuleType(filename)
+            compiled = compile(text, scriptfile.path, 'exec')
+            module = ModuleType(scriptfile.filename)
             exec(compiled, module.__dict__)
 
             for key, script_class in module.__dict__.items():
                 if type(script_class) == type and issubclass(script_class, Script):
-                    scripts_data.append((script_class, path))
+                    scripts_data.append(ScriptClassData(script_class, scriptfile.path, scriptfile.basedir))
 
         except Exception:
-            print(f"Error loading script: {filename}", file=sys.stderr)
+            print(f"Error loading script: {scriptfile.filename}", file=sys.stderr)
             print(traceback.format_exc(), file=sys.stderr)
 
+        finally:
+            sys.path = syspath
+            current_basedir = paths.script_path
+
 
 def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
     try:
@@ -96,56 +163,80 @@ def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
 class ScriptRunner:
     def __init__(self):
         self.scripts = []
+        self.selectable_scripts = []
+        self.alwayson_scripts = []
         self.titles = []
+        self.infotext_fields = []
 
     def setup_ui(self, is_img2img):
-        for script_class, path in scripts_data:
+        for script_class, path, basedir in scripts_data:
             script = script_class()
             script.filename = path
 
-            if not script.show(is_img2img):
-                continue
+            visibility = script.show(is_img2img)
 
-            self.scripts.append(script)
+            if visibility == AlwaysVisible:
+                self.scripts.append(script)
+                self.alwayson_scripts.append(script)
+                script.alwayson = True
 
-        self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.scripts]
+            elif visibility:
+                self.scripts.append(script)
+                self.selectable_scripts.append(script)
 
-        dropdown = gr.Dropdown(label="Script", choices=["None"] + self.titles, value="None", type="index")
-        dropdown.save_to_config = True
-        inputs = [dropdown]
+        self.titles = [wrap_call(script.title, script.filename, "title") or f"{script.filename} [error]" for script in self.selectable_scripts]
 
-        for script in self.scripts:
+        inputs = [None]
+        inputs_alwayson = [True]
+
+        def create_script_ui(script, inputs, inputs_alwayson):
             script.args_from = len(inputs)
             script.args_to = len(inputs)
 
             controls = wrap_call(script.ui, script.filename, "ui", is_img2img)
 
             if controls is None:
-                continue
+                return
 
             for control in controls:
                 control.custom_script_source = os.path.basename(script.filename)
-                control.visible = False
+                if not script.alwayson:
+                    control.visible = False
+
+            if script.infotext_fields is not None:
+                self.infotext_fields += script.infotext_fields
 
             inputs += controls
+            inputs_alwayson += [script.alwayson for _ in controls]
             script.args_to = len(inputs)
 
+        for script in self.alwayson_scripts:
+            with gr.Group():
+                create_script_ui(script, inputs, inputs_alwayson)
+
+        dropdown = gr.Dropdown(label="Script", choices=["None"] + self.titles, value="None", type="index")
+        dropdown.save_to_config = True
+        inputs[0] = dropdown
+
+        for script in self.selectable_scripts:
+            create_script_ui(script, inputs, inputs_alwayson)
+
         def select_script(script_index):
-            if 0 < script_index <= len(self.scripts):
-                script = self.scripts[script_index-1]
+            if 0 < script_index <= len(self.selectable_scripts):
+                script = self.selectable_scripts[script_index-1]
                 args_from = script.args_from
                 args_to = script.args_to
             else:
                 args_from = 0
                 args_to = 0
 
-            return [ui.gr_show(True if i == 0 else args_from <= i < args_to) for i in range(len(inputs))]
+            return [ui.gr_show(True if i == 0 else args_from <= i < args_to or is_alwayson) for i, is_alwayson in enumerate(inputs_alwayson)]
 
         def init_field(title):
             if title == 'None':
                 return
             script_index = self.titles.index(title)
-            script = self.scripts[script_index]
+            script = self.selectable_scripts[script_index]
             for i in range(script.args_from, script.args_to):
                 inputs[i].visible = True
 
@@ -164,7 +255,7 @@ class ScriptRunner:
         if script_index == 0:
             return None
 
-        script = self.scripts[script_index-1]
+        script = self.selectable_scripts[script_index-1]
 
         if script is None:
             return None
@@ -176,6 +267,15 @@ class ScriptRunner:
 
         return processed
 
+    def run_alwayson_scripts(self, p):
+        for script in self.alwayson_scripts:
+            try:
+                script_args = p.script_args[script.args_from:script.args_to]
+                script.process(p, *script_args)
+            except Exception:
+                print(f"Error running alwayson script: {script.filename}", file=sys.stderr)
+                print(traceback.format_exc(), file=sys.stderr)
+
     def reload_sources(self):
         for si, script in list(enumerate(self.scripts)):
             with open(script.filename, "r", encoding="utf8") as file:
@@ -197,19 +297,21 @@ class ScriptRunner:
                         self.scripts[si].args_from = args_from
                         self.scripts[si].args_to = args_to
 
+
 scripts_txt2img = ScriptRunner()
 scripts_img2img = ScriptRunner()
 
+
 def reload_script_body_only():
     scripts_txt2img.reload_sources()
     scripts_img2img.reload_sources()
 
 
-def reload_scripts(basedir):
+def reload_scripts():
     global scripts_txt2img, scripts_img2img
 
-    scripts_data.clear()
-    load_scripts(basedir)
+    load_scripts()
 
     scripts_txt2img = ScriptRunner()
     scripts_img2img = ScriptRunner()
+
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 1f8587d1..0f10828e 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -332,7 +332,6 @@ class FrozenCLIPEmbedderWithCustomWords(torch.nn.Module):
                     multipliers.append([1.0] * 75)
 
             z1 = self.process_tokens(tokens, multipliers)
-            z1 = shared.aesthetic_clip(z1, remade_batch_tokens)
             z = z1 if z is None else torch.cat((z, z1), axis=-2)
 
             remade_batch_tokens = rem_tokens
diff --git a/modules/sd_models.py b/modules/sd_models.py
index d99dbce8..f9b3063d 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -7,7 +7,7 @@ from omegaconf import OmegaConf
 
 from ldm.util import instantiate_from_config
 
-from modules import shared, modelloader, devices
+from modules import shared, modelloader, devices, script_callbacks
 from modules.paths import models_path
 from modules.sd_hijack_inpainting import do_inpainting_hijack, should_hijack_inpainting
 
@@ -238,6 +238,9 @@ def load_model(checkpoint_info=None):
     sd_hijack.model_hijack.hijack(sd_model)
 
     sd_model.eval()
+    shared.sd_model = sd_model
+
+    script_callbacks.model_loaded_callback(sd_model)
 
     print(f"Model loaded.")
     return sd_model
@@ -252,7 +255,7 @@ def reload_model_weights(sd_model, info=None):
 
     if sd_model.sd_checkpoint_info.config != checkpoint_info.config or should_hijack_inpainting(checkpoint_info) != should_hijack_inpainting(sd_model.sd_checkpoint_info):
         checkpoints_loaded.clear()
-        shared.sd_model = load_model(checkpoint_info)
+        load_model(checkpoint_info)
         return shared.sd_model
 
     if shared.cmd_opts.lowvram or shared.cmd_opts.medvram:
diff --git a/modules/shared.py b/modules/shared.py
index 0dbe360d..7d786f07 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -31,7 +31,6 @@ parser.add_argument("--no-half-vae", action='store_true', help="do not switch th
 parser.add_argument("--no-progressbar-hiding", action='store_true', help="do not hide progressbar in gradio UI (we hide it because it slows down ML if you have hardware acceleration in browser)")
 parser.add_argument("--max-batch-count", type=int, default=16, help="maximum batch count value for the UI")
 parser.add_argument("--embeddings-dir", type=str, default=os.path.join(script_path, 'embeddings'), help="embeddings directory for textual inversion (default: embeddings)")
-parser.add_argument("--aesthetic_embeddings-dir", type=str, default=os.path.join(models_path, 'aesthetic_embeddings'), help="aesthetic_embeddings directory(default: aesthetic_embeddings)")
 parser.add_argument("--hypernetwork-dir", type=str, default=os.path.join(models_path, 'hypernetworks'), help="hypernetwork directory")
 parser.add_argument("--localizations-dir", type=str, default=os.path.join(script_path, 'localizations'), help="localizations directory")
 parser.add_argument("--allow-code", action='store_true', help="allow custom script execution from webui")
@@ -109,21 +108,6 @@ os.makedirs(cmd_opts.hypernetwork_dir, exist_ok=True)
 hypernetworks = hypernetwork.list_hypernetworks(cmd_opts.hypernetwork_dir)
 loaded_hypernetwork = None
 
-
-os.makedirs(cmd_opts.aesthetic_embeddings_dir, exist_ok=True)
-aesthetic_embeddings = {}
-
-
-def update_aesthetic_embeddings():
-    global aesthetic_embeddings
-    aesthetic_embeddings = {f.replace(".pt", ""): os.path.join(cmd_opts.aesthetic_embeddings_dir, f) for f in
-                            os.listdir(cmd_opts.aesthetic_embeddings_dir) if f.endswith(".pt")}
-    aesthetic_embeddings = OrderedDict(**{"None": None}, **aesthetic_embeddings)
-
-
-update_aesthetic_embeddings()
-
-
 def reload_hypernetworks():
     global hypernetworks
 
@@ -415,9 +399,6 @@ sd_model = None
 
 clip_model = None
 
-from modules.aesthetic_clip import AestheticCLIP
-aesthetic_clip = AestheticCLIP()
-
 progress_print_out = sys.stdout
 
 
diff --git a/modules/txt2img.py b/modules/txt2img.py
index 1761cfa2..c9d5a090 100644
--- a/modules/txt2img.py
+++ b/modules/txt2img.py
@@ -7,7 +7,7 @@ import modules.processing as processing
 from modules.ui import plaintext_to_html
 
 
-def txt2img(prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, steps: int, sampler_index: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, enable_hr: bool, denoising_strength: float, firstphase_width: int, firstphase_height: int, aesthetic_lr=0, aesthetic_weight=0, aesthetic_steps=0, aesthetic_imgs=None, aesthetic_slerp=False, aesthetic_imgs_text="", aesthetic_slerp_angle=0.15, aesthetic_text_negative=False, *args):
+def txt2img(prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, steps: int, sampler_index: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, height: int, width: int, enable_hr: bool, denoising_strength: float, firstphase_width: int, firstphase_height: int, *args):
     p = StableDiffusionProcessingTxt2Img(
         sd_model=shared.sd_model,
         outpath_samples=opts.outdir_samples or opts.outdir_txt2img_samples,
@@ -36,7 +36,8 @@ def txt2img(prompt: str, negative_prompt: str, prompt_style: str, prompt_style2:
         firstphase_height=firstphase_height if enable_hr else None,
     )
 
-    shared.aesthetic_clip.set_aesthetic_params(p, float(aesthetic_lr), float(aesthetic_weight), int(aesthetic_steps), aesthetic_imgs, aesthetic_slerp, aesthetic_imgs_text, aesthetic_slerp_angle, aesthetic_text_negative)
+    p.scripts = modules.scripts.scripts_txt2img
+    p.script_args = args
 
     if cmd_opts.enable_console_prompts:
         print(f"\ntxt2img: {prompt}", file=shared.progress_print_out)
diff --git a/modules/ui.py b/modules/ui.py
index 70a9cf10..c977482c 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -23,10 +23,10 @@ import gradio as gr
 import gradio.utils
 import gradio.routes
 
-from modules import sd_hijack, sd_models, localization
+from modules import sd_hijack, sd_models, localization, script_callbacks
 from modules.paths import script_path
 
-from modules.shared import opts, cmd_opts, restricted_opts, aesthetic_embeddings
+from modules.shared import opts, cmd_opts, restricted_opts
 
 if cmd_opts.deepdanbooru:
     from modules.deepbooru import get_deepbooru_tags
@@ -44,7 +44,6 @@ from modules.images import save_image
 import modules.textual_inversion.ui
 import modules.hypernetworks.ui
 
-import modules.aesthetic_clip as aesthetic_clip
 import modules.images_history as img_his
 
 
@@ -662,8 +661,6 @@ def create_ui(wrap_gradio_gpu_call):
 
                 seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox = create_seed_inputs()
 
-                aesthetic_weight, aesthetic_steps, aesthetic_lr, aesthetic_slerp, aesthetic_imgs, aesthetic_imgs_text, aesthetic_slerp_angle, aesthetic_text_negative = aesthetic_clip.create_ui()
-
                 with gr.Group():
                     custom_inputs = modules.scripts.scripts_txt2img.setup_ui(is_img2img=False)
 
@@ -718,14 +715,6 @@ def create_ui(wrap_gradio_gpu_call):
                     denoising_strength,
                     firstphase_width,
                     firstphase_height,
-                    aesthetic_lr,
-                    aesthetic_weight,
-                    aesthetic_steps,
-                    aesthetic_imgs,
-                    aesthetic_slerp,
-                    aesthetic_imgs_text,
-                    aesthetic_slerp_angle,
-                    aesthetic_text_negative
                 ] + custom_inputs,
 
                 outputs=[
@@ -804,14 +793,7 @@ def create_ui(wrap_gradio_gpu_call):
                 (hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)),
                 (firstphase_width, "First pass size-1"),
                 (firstphase_height, "First pass size-2"),
-                (aesthetic_lr, "Aesthetic LR"),
-                (aesthetic_weight, "Aesthetic weight"),
-                (aesthetic_steps, "Aesthetic steps"),
-                (aesthetic_imgs, "Aesthetic embedding"),
-                (aesthetic_slerp, "Aesthetic slerp"),
-                (aesthetic_imgs_text, "Aesthetic text"),
-                (aesthetic_text_negative, "Aesthetic text negative"),
-                (aesthetic_slerp_angle, "Aesthetic slerp angle"),
+                *modules.scripts.scripts_txt2img.infotext_fields
             ]
 
             txt2img_preview_params = [
@@ -896,8 +878,6 @@ def create_ui(wrap_gradio_gpu_call):
 
                 seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox = create_seed_inputs()
 
-                aesthetic_weight_im, aesthetic_steps_im, aesthetic_lr_im, aesthetic_slerp_im, aesthetic_imgs_im, aesthetic_imgs_text_im, aesthetic_slerp_angle_im, aesthetic_text_negative_im = aesthetic_clip.create_ui()
-
                 with gr.Group():
                     custom_inputs = modules.scripts.scripts_img2img.setup_ui(is_img2img=True)
 
@@ -988,14 +968,6 @@ def create_ui(wrap_gradio_gpu_call):
                     inpainting_mask_invert,
                     img2img_batch_input_dir,
                     img2img_batch_output_dir,
-                    aesthetic_lr_im,
-                    aesthetic_weight_im,
-                    aesthetic_steps_im,
-                    aesthetic_imgs_im,
-                    aesthetic_slerp_im,
-                    aesthetic_imgs_text_im,
-                    aesthetic_slerp_angle_im,
-                    aesthetic_text_negative_im,
                 ] + custom_inputs,
                 outputs=[
                     img2img_gallery,
@@ -1087,14 +1059,7 @@ def create_ui(wrap_gradio_gpu_call):
                 (seed_resize_from_w, "Seed resize from-1"),
                 (seed_resize_from_h, "Seed resize from-2"),
                 (denoising_strength, "Denoising strength"),
-                (aesthetic_lr_im, "Aesthetic LR"),
-                (aesthetic_weight_im, "Aesthetic weight"),
-                (aesthetic_steps_im, "Aesthetic steps"),
-                (aesthetic_imgs_im, "Aesthetic embedding"),
-                (aesthetic_slerp_im, "Aesthetic slerp"),
-                (aesthetic_imgs_text_im, "Aesthetic text"),
-                (aesthetic_text_negative_im, "Aesthetic text negative"),
-                (aesthetic_slerp_angle_im, "Aesthetic slerp angle"),
+                *modules.scripts.scripts_img2img.infotext_fields
             ]
             token_button.click(fn=update_token_counter, inputs=[img2img_prompt, steps], outputs=[token_counter])
 
@@ -1217,9 +1182,9 @@ def create_ui(wrap_gradio_gpu_call):
         )
     #images history
     images_history_switch_dict = {
-        "fn":modules.generation_parameters_copypaste.connect_paste,
-        "t2i":txt2img_paste_fields,
-        "i2i":img2img_paste_fields
+        "fn": modules.generation_parameters_copypaste.connect_paste,
+        "t2i": txt2img_paste_fields,
+        "i2i": img2img_paste_fields
     }
 
     images_history = img_his.create_history_tabs(gr, opts, cmd_opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
@@ -1264,18 +1229,6 @@ def create_ui(wrap_gradio_gpu_call):
                         with gr.Column():
                             create_embedding = gr.Button(value="Create embedding", variant='primary')
 
-                with gr.Tab(label="Create aesthetic images embedding"):
-
-                    new_embedding_name_ae = gr.Textbox(label="Name")
-                    process_src_ae = gr.Textbox(label='Source directory')
-                    batch_ae = gr.Slider(minimum=1, maximum=1024, step=1, label="Batch size", value=256)
-                    with gr.Row():
-                        with gr.Column(scale=3):
-                            gr.HTML(value="")
-
-                        with gr.Column():
-                            create_embedding_ae = gr.Button(value="Create images embedding", variant='primary')
-
                 with gr.Tab(label="Create hypernetwork"):
                     new_hypernetwork_name = gr.Textbox(label="Name")
                     new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
@@ -1375,21 +1328,6 @@ def create_ui(wrap_gradio_gpu_call):
             ]
         )
 
-        create_embedding_ae.click(
-            fn=aesthetic_clip.generate_imgs_embd,
-            inputs=[
-                new_embedding_name_ae,
-                process_src_ae,
-                batch_ae
-            ],
-            outputs=[
-                aesthetic_imgs,
-                aesthetic_imgs_im,
-                ti_output,
-                ti_outcome,
-            ]
-        )
-
         create_hypernetwork.click(
             fn=modules.hypernetworks.ui.create_hypernetwork,
             inputs=[
@@ -1580,10 +1518,10 @@ Requested path was: {f}
         if not opts.same_type(value, opts.data_labels[key].default):
             return gr.update(visible=True), opts.dumpjson()
 
+        oldval = opts.data.get(key, None)
         if cmd_opts.hide_ui_dir_config and key in restricted_opts:
             return gr.update(value=oldval), opts.dumpjson()
 
-        oldval = opts.data.get(key, None)
         opts.data[key] = value
 
         if oldval != value:
@@ -1692,9 +1630,12 @@ Requested path was: {f}
         (images_history, "Image Browser", "images_history"),
         (modelmerger_interface, "Checkpoint Merger", "modelmerger"),
         (train_interface, "Train", "ti"),
-        (settings_interface, "Settings", "settings"),
     ]
 
+    interfaces += script_callbacks.ui_tabs_callback()
+
+    interfaces += [(settings_interface, "Settings", "settings")]
+
     with open(os.path.join(script_path, "style.css"), "r", encoding="utf8") as file:
         css = file.read()
 
diff --git a/webui.py b/webui.py
index 87589064..b1deca1b 100644
--- a/webui.py
+++ b/webui.py
@@ -71,6 +71,7 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
 
     return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs)
 
+
 def initialize():
     modelloader.cleanup_models()
     modules.sd_models.setup_model()
@@ -79,9 +80,9 @@ def initialize():
     shared.face_restorers.append(modules.face_restoration.FaceRestoration())
     modelloader.load_upscalers()
 
-    modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
+    modules.scripts.load_scripts()
 
-    shared.sd_model = modules.sd_models.load_model()
+    modules.sd_models.load_model()
     shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
     shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))
     shared.opts.onchange("sd_hypernetwork_strength", modules.hypernetworks.hypernetwork.apply_strength)
@@ -145,7 +146,7 @@ def webui():
         sd_samplers.set_samplers()
 
         print('Reloading Custom Scripts')
-        modules.scripts.reload_scripts(os.path.join(script_path, "scripts"))
+        modules.scripts.reload_scripts()
         print('Reloading modules: modules.ui')
         importlib.reload(modules.ui)
         print('Refreshing Model List')

From 6398dc9b1049f242576ca309f95a3fb1e654951c Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 13:34:49 +0300
Subject: [PATCH 040/321] further support for extensions

---
 .gitignore         |  1 +
 README.md          |  3 +--
 modules/scripts.py | 44 +++++++++++++++++++++++++++++++++++---------
 modules/ui.py      | 19 ++++++++++---------
 style.css          |  2 +-
 5 files changed, 48 insertions(+), 21 deletions(-)

diff --git a/.gitignore b/.gitignore
index 2f1e08ed..8fa05852 100644
--- a/.gitignore
+++ b/.gitignore
@@ -28,3 +28,4 @@ notification.mp3
 /SwinIR
 /textual_inversion
 .vscode
+/extensions
diff --git a/README.md b/README.md
index 5b5dc8ba..6853aea0 100644
--- a/README.md
+++ b/README.md
@@ -83,8 +83,7 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
 - Estimated completion time in progress bar
 - API
 - Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML. 
-- Aesthetic Gradients, a way to generate images with a specific aesthetic by using clip images embds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
-
+- via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
 
 ## Installation and Running
 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
diff --git a/modules/scripts.py b/modules/scripts.py
index 65f25f49..9323af3e 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -102,17 +102,39 @@ def list_scripts(scriptdirname, extension):
     if os.path.exists(extdir):
         for dirname in sorted(os.listdir(extdir)):
             dirpath = os.path.join(extdir, dirname)
-            if not os.path.isdir(dirpath):
+            scriptdirpath = os.path.join(dirpath, scriptdirname)
+
+            if not os.path.isdir(scriptdirpath):
                 continue
 
-            for filename in sorted(os.listdir(os.path.join(dirpath, scriptdirname))):
-                scripts_list.append(ScriptFile(dirpath, filename, os.path.join(dirpath, scriptdirname, filename)))
+            for filename in sorted(os.listdir(scriptdirpath)):
+                scripts_list.append(ScriptFile(dirpath, filename, os.path.join(scriptdirpath, filename)))
 
     scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
 
     return scripts_list
 
 
+def list_files_with_name(filename):
+    res = []
+
+    dirs = [paths.script_path]
+
+    extdir = os.path.join(paths.script_path, "extensions")
+    if os.path.exists(extdir):
+        dirs += [os.path.join(extdir, d) for d in sorted(os.listdir(extdir))]
+
+    for dirpath in dirs:
+        if not os.path.isdir(dirpath):
+            continue
+
+        path = os.path.join(dirpath, filename)
+        if os.path.isfile(filename):
+            res.append(path)
+
+    return res
+
+
 def load_scripts():
     global current_basedir
     scripts_data.clear()
@@ -276,7 +298,7 @@ class ScriptRunner:
                 print(f"Error running alwayson script: {script.filename}", file=sys.stderr)
                 print(traceback.format_exc(), file=sys.stderr)
 
-    def reload_sources(self):
+    def reload_sources(self, cache):
         for si, script in list(enumerate(self.scripts)):
             with open(script.filename, "r", encoding="utf8") as file:
                 args_from = script.args_from
@@ -286,9 +308,12 @@ class ScriptRunner:
 
                 from types import ModuleType
 
-                compiled = compile(text, filename, 'exec')
-                module = ModuleType(script.filename)
-                exec(compiled, module.__dict__)
+                module = cache.get(filename, None)
+                if module is None:
+                    compiled = compile(text, filename, 'exec')
+                    module = ModuleType(script.filename)
+                    exec(compiled, module.__dict__)
+                    cache[filename] = module
 
                 for key, script_class in module.__dict__.items():
                     if type(script_class) == type and issubclass(script_class, Script):
@@ -303,8 +328,9 @@ scripts_img2img = ScriptRunner()
 
 
 def reload_script_body_only():
-    scripts_txt2img.reload_sources()
-    scripts_img2img.reload_sources()
+    cache = {}
+    scripts_txt2img.reload_sources(cache)
+    scripts_img2img.reload_sources(cache)
 
 
 def reload_scripts():
diff --git a/modules/ui.py b/modules/ui.py
index c977482c..29986124 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1636,13 +1636,15 @@ Requested path was: {f}
 
     interfaces += [(settings_interface, "Settings", "settings")]
 
-    with open(os.path.join(script_path, "style.css"), "r", encoding="utf8") as file:
-        css = file.read()
+    css = ""
+
+    for cssfile in modules.scripts.list_files_with_name("style.css"):
+        with open(cssfile, "r", encoding="utf8") as file:
+            css += file.read() + "\n"
 
     if os.path.exists(os.path.join(script_path, "user.css")):
         with open(os.path.join(script_path, "user.css"), "r", encoding="utf8") as file:
-            usercss = file.read()
-            css += usercss
+            css += file.read() + "\n"
 
     if not cmd_opts.no_progressbar_hiding:
         css += css_hide_progressbar
@@ -1865,9 +1867,9 @@ def load_javascript(raw_response):
     with open(os.path.join(script_path, "script.js"), "r", encoding="utf8") as jsfile:
         javascript = f'<script>{jsfile.read()}</script>'
 
-    jsdir = os.path.join(script_path, "javascript")
-    for filename in sorted(os.listdir(jsdir)):
-        with open(os.path.join(jsdir, filename), "r", encoding="utf8") as jsfile:
+    scripts_list = modules.scripts.list_scripts("javascript", ".js")
+    for basedir, filename, path in scripts_list:
+        with open(path, "r", encoding="utf8") as jsfile:
             javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"
 
     if cmd_opts.theme is not None:
@@ -1885,6 +1887,5 @@ def load_javascript(raw_response):
     gradio.routes.templates.TemplateResponse = template_response
 
 
-reload_javascript = partial(load_javascript,
-                            gradio.routes.templates.TemplateResponse)
+reload_javascript = partial(load_javascript, gradio.routes.templates.TemplateResponse)
 reload_javascript()
diff --git a/style.css b/style.css
index 5d2bacc9..26ae36a5 100644
--- a/style.css
+++ b/style.css
@@ -477,7 +477,7 @@ input[type="range"]{
     padding: 0;
 }
 
-#refresh_sd_model_checkpoint, #refresh_sd_hypernetwork, #refresh_train_hypernetwork_name, #refresh_train_embedding_name, #refresh_localization, #refresh_aesthetic_embeddings{
+#refresh_sd_model_checkpoint, #refresh_sd_hypernetwork, #refresh_train_hypernetwork_name, #refresh_train_embedding_name, #refresh_localization{
     max-width: 2.5em;
     min-width: 2.5em;
     height: 2.4em;

From 5aa9525046b7520d39fe8fc8c5c6cc10ab4d5fdb Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 13:40:07 +0300
Subject: [PATCH 041/321] updated readme with info about Aesthetic Gradients

---
 README.md | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/README.md b/README.md
index 6853aea0..1a0e4f6a 100644
--- a/README.md
+++ b/README.md
@@ -85,6 +85,16 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
 - Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML. 
 - via extension: [Aesthetic Gradients](https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embds (implementation of [https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
 
+## Where are Aesthetic Gradients?!?!
+Aesthetic Gradients are now an extension. You can install it using git:
+
+```commandline
+git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients extensions/aesthetic-gradients
+```
+
+After running this command, make sure that you have `aesthetic-gradients` dir in webui's `extensions` directory and restart
+the UI. The interface for Aesthetic Gradients should appear exactly the same as it was.
+
 ## Installation and Running
 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
 

From 50b5504401e50b6c94eba41b37fe212b2f27b792 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 14:04:14 +0300
Subject: [PATCH 042/321] remove parsing command line from devices.py

---
 modules/devices.py | 14 +++++---------
 modules/lowvram.py |  9 ++++-----
 2 files changed, 9 insertions(+), 14 deletions(-)

diff --git a/modules/devices.py b/modules/devices.py
index 8a159282..dc1f3cdd 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -15,14 +15,10 @@ def extract_device_id(args, name):
 
 def get_optimal_device():
     if torch.cuda.is_available():
-        # CUDA device selection support:
-        if "shared" not in sys.modules:
-            commandline_args = os.environ.get('COMMANDLINE_ARGS', "") #re-parse the commandline arguments because using the shared.py module creates an import loop.
-            sys.argv += shlex.split(commandline_args)
-            device_id = extract_device_id(sys.argv, '--device-id')
-        else:
-            device_id = shared.cmd_opts.device_id
-            
+        from modules import shared
+
+        device_id = shared.cmd_opts.device_id
+
         if device_id is not None:
             cuda_device = f"cuda:{device_id}"
             return torch.device(cuda_device)
@@ -49,7 +45,7 @@ def enable_tf32():
 
 errors.run(enable_tf32, "Enabling TF32")
 
-device = device_interrogate = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = get_optimal_device()
+device = device_interrogate = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = None
 dtype = torch.float16
 dtype_vae = torch.float16
 
diff --git a/modules/lowvram.py b/modules/lowvram.py
index 7eba1349..f327c3df 100644
--- a/modules/lowvram.py
+++ b/modules/lowvram.py
@@ -1,9 +1,8 @@
 import torch
-from modules.devices import get_optimal_device
+from modules import devices
 
 module_in_gpu = None
 cpu = torch.device("cpu")
-device = gpu = get_optimal_device()
 
 
 def send_everything_to_cpu():
@@ -33,7 +32,7 @@ def setup_for_low_vram(sd_model, use_medvram):
         if module_in_gpu is not None:
             module_in_gpu.to(cpu)
 
-        module.to(gpu)
+        module.to(devices.device)
         module_in_gpu = module
 
     # see below for register_forward_pre_hook;
@@ -51,7 +50,7 @@ def setup_for_low_vram(sd_model, use_medvram):
     # send the model to GPU. Then put modules back. the modules will be in CPU.
     stored = sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model
     sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model = None, None, None
-    sd_model.to(device)
+    sd_model.to(devices.device)
     sd_model.cond_stage_model.transformer, sd_model.first_stage_model, sd_model.model = stored
 
     # register hooks for those the first two models
@@ -70,7 +69,7 @@ def setup_for_low_vram(sd_model, use_medvram):
         # so that only one of them is in GPU at a time
         stored = diff_model.input_blocks, diff_model.middle_block, diff_model.output_blocks, diff_model.time_embed
         diff_model.input_blocks, diff_model.middle_block, diff_model.output_blocks, diff_model.time_embed = None, None, None, None
-        sd_model.model.to(device)
+        sd_model.model.to(devices.device)
         diff_model.input_blocks, diff_model.middle_block, diff_model.output_blocks, diff_model.time_embed = stored
 
         # install hooks for bits of third model

From 0e8ca8e7af05be22d7d2c07a47c3c7febe0f0ab6 Mon Sep 17 00:00:00 2001
From: discus0434 <discus0434@gmail.com>
Date: Sat, 22 Oct 2022 11:07:00 +0000
Subject: [PATCH 043/321] add dropout

---
 modules/hypernetworks/hypernetwork.py | 70 ++++++++++++++++-----------
 modules/hypernetworks/ui.py           | 10 ++--
 modules/ui.py                         | 45 +++++++++--------
 3 files changed, 72 insertions(+), 53 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 905cbeef..e493f366 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -1,47 +1,60 @@
+import csv
 import datetime
 import glob
 import html
 import os
 import sys
 import traceback
-import tqdm
-import csv
 
-import torch
-
-from ldm.util import default
-from modules import devices, shared, processing, sd_models
-import torch
-from torch import einsum
-from einops import rearrange, repeat
 import modules.textual_inversion.dataset
+import torch
+import tqdm
+from einops import rearrange, repeat
+from ldm.util import default
+from modules import devices, processing, sd_models, shared
 from modules.textual_inversion import textual_inversion
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
+from torch import einsum
 
 
 class HypernetworkModule(torch.nn.Module):
     multiplier = 1.0
-    activation_dict = {"relu": torch.nn.ReLU, "leakyrelu": torch.nn.LeakyReLU, "elu": torch.nn.ELU,
-                       "swish": torch.nn.Hardswish}
-    
-    def __init__(self, dim, state_dict=None, layer_structure=None, add_layer_norm=False, activation_func=None):
+    activation_dict = {
+        "relu": torch.nn.ReLU,
+        "leakyrelu": torch.nn.LeakyReLU,
+        "elu": torch.nn.ELU,
+        "swish": torch.nn.Hardswish,
+    }
+
+    def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
         super().__init__()
 
         assert layer_structure is not None, "layer_structure must not be None"
         assert layer_structure[0] == 1, "Multiplier Sequence should start with size 1!"
         assert layer_structure[-1] == 1, "Multiplier Sequence should end with size 1!"
-        
+        assert activation_func not in self.activation_dict.keys() + "linear", f"Valid activation funcs: 'linear', 'relu', 'leakyrelu', 'elu', 'swish'"
+
         linears = []
         for i in range(len(layer_structure) - 1):
+
+            # Add a fully-connected layer
             linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
-            # if skip_first_layer because first parameters potentially contain negative values
-            # if i < 1: continue
-            if activation_func in HypernetworkModule.activation_dict:
-                linears.append(HypernetworkModule.activation_dict[activation_func]())
+
+            # Add an activation func
+            if activation_func == "linear":
+                pass
+            elif activation_func in self.activation_dict:
+                linears.append(self.activation_dict[activation_func]())
             else:
-                print("Invalid key {} encountered as activation function!".format(activation_func))
-            # if use_dropout: 
-            # linears.append(torch.nn.Dropout(p=0.3))
+                raise NotImplementedError(
+                    "Valid activation funcs: 'linear', 'relu', 'leakyrelu', 'elu', 'swish'"
+                )
+
+            # Add dropout
+            if use_dropout:
+                linears.append(torch.nn.Dropout(p=0.3))
+
+            # Add layer normalization
             if add_layer_norm:
                 linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
@@ -93,7 +106,7 @@ class Hypernetwork:
     filename = None
     name = None
 
-    def __init__(self, name=None, enable_sizes=None, layer_structure=None, add_layer_norm=False, activation_func=None):
+    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
         self.filename = None
         self.name = name
         self.layers = {}
@@ -101,13 +114,14 @@ class Hypernetwork:
         self.sd_checkpoint = None
         self.sd_checkpoint_name = None
         self.layer_structure = layer_structure
-        self.add_layer_norm = add_layer_norm
         self.activation_func = activation_func
+        self.add_layer_norm = add_layer_norm
+        self.use_dropout = use_dropout
 
         for size in enable_sizes or []:
             self.layers[size] = (
-                HypernetworkModule(size, None, self.layer_structure, self.add_layer_norm, self.activation_func),
-                HypernetworkModule(size, None, self.layer_structure, self.add_layer_norm, self.activation_func),
+                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
+                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
             )
 
     def weights(self):
@@ -129,8 +143,9 @@ class Hypernetwork:
         state_dict['step'] = self.step
         state_dict['name'] = self.name
         state_dict['layer_structure'] = self.layer_structure
-        state_dict['is_layer_norm'] = self.add_layer_norm
         state_dict['activation_func'] = self.activation_func
+        state_dict['is_layer_norm'] = self.add_layer_norm
+        state_dict['use_dropout'] = self.use_dropout
         state_dict['sd_checkpoint'] = self.sd_checkpoint
         state_dict['sd_checkpoint_name'] = self.sd_checkpoint_name
 
@@ -144,8 +159,9 @@ class Hypernetwork:
         state_dict = torch.load(filename, map_location='cpu')
 
         self.layer_structure = state_dict.get('layer_structure', [1, 2, 1])
-        self.add_layer_norm = state_dict.get('is_layer_norm', False)
         self.activation_func = state_dict.get('activation_func', None)
+        self.add_layer_norm = state_dict.get('is_layer_norm', False)
+        self.use_dropout = state_dict.get('use_dropout', False)
 
         for size, sd in state_dict.items():
             if type(size) == int:
diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py
index 1a5a27d8..5f6f17b6 100644
--- a/modules/hypernetworks/ui.py
+++ b/modules/hypernetworks/ui.py
@@ -3,14 +3,13 @@ import os
 import re
 
 import gradio as gr
-
-import modules.textual_inversion.textual_inversion
 import modules.textual_inversion.preprocess
-from modules import sd_hijack, shared, devices
+import modules.textual_inversion.textual_inversion
+from modules import devices, sd_hijack, shared
 from modules.hypernetworks import hypernetwork
 
 
-def create_hypernetwork(name, enable_sizes, layer_structure=None, add_layer_norm=False, activation_func=None):
+def create_hypernetwork(name, enable_sizes, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
     fn = os.path.join(shared.cmd_opts.hypernetwork_dir, f"{name}.pt")
     assert not os.path.exists(fn), f"file {fn} already exists"
 
@@ -21,8 +20,9 @@ def create_hypernetwork(name, enable_sizes, layer_structure=None, add_layer_norm
         name=name,
         enable_sizes=[int(x) for x in enable_sizes],
         layer_structure=layer_structure,
-        add_layer_norm=add_layer_norm,
         activation_func=activation_func,
+        add_layer_norm=add_layer_norm,
+        use_dropout=use_dropout,
     )
     hypernet.save(fn)
 
diff --git a/modules/ui.py b/modules/ui.py
index 716f14b8..d4b32c05 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -5,43 +5,44 @@ import json
 import math
 import mimetypes
 import os
+import platform
 import random
+import subprocess as sp
 import sys
 import tempfile
 import time
 import traceback
-import platform
-import subprocess as sp
 from functools import partial, reduce
 
+import gradio as gr
+import gradio.routes
+import gradio.utils
 import numpy as np
+import piexif
 import torch
 from PIL import Image, PngImagePlugin
-import piexif
 
-import gradio as gr
-import gradio.utils
-import gradio.routes
-
-from modules import sd_hijack, sd_models, localization
+from modules import localization, sd_hijack, sd_models
 from modules.paths import script_path
-from modules.shared import opts, cmd_opts, restricted_opts
+from modules.shared import cmd_opts, opts, restricted_opts
+
 if cmd_opts.deepdanbooru:
     from modules.deepbooru import get_deepbooru_tags
-import modules.shared as shared
-from modules.sd_samplers import samplers, samplers_for_img2img
-from modules.sd_hijack import model_hijack
-import modules.ldsr_model
-import modules.scripts
-import modules.gfpgan_model
+
 import modules.codeformer_model
-import modules.styles
 import modules.generation_parameters_copypaste
-from modules import prompt_parser
-from modules.images import save_image
-import modules.textual_inversion.ui
+import modules.gfpgan_model
 import modules.hypernetworks.ui
 import modules.images_history as img_his
+import modules.ldsr_model
+import modules.scripts
+import modules.shared as shared
+import modules.styles
+import modules.textual_inversion.ui
+from modules import prompt_parser
+from modules.images import save_image
+from modules.sd_hijack import model_hijack
+from modules.sd_samplers import samplers, samplers_for_img2img
 
 # this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
 mimetypes.init()
@@ -1223,8 +1224,9 @@ def create_ui(wrap_gradio_gpu_call):
                     new_hypernetwork_name = gr.Textbox(label="Name")
                     new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
                     new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
+                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu", "elu", "swish"])
                     new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
-                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu"])
+                    new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
 
                     with gr.Row():
                         with gr.Column(scale=3):
@@ -1308,8 +1310,9 @@ def create_ui(wrap_gradio_gpu_call):
                 new_hypernetwork_name,
                 new_hypernetwork_sizes,
                 new_hypernetwork_layer_structure,
-                new_hypernetwork_add_layer_norm,
                 new_hypernetwork_activation_func,
+                new_hypernetwork_add_layer_norm,
+                new_hypernetwork_use_dropout
             ],
             outputs=[
                 train_hypernetwork_name,

From 1cd3ed7def40198f46d30f74dd37d2906ebdbaa6 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 14:28:56 +0300
Subject: [PATCH 044/321] fix for extensions without style.css

---
 modules/ui.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/modules/ui.py b/modules/ui.py
index 29986124..d8d52db1 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1639,6 +1639,9 @@ Requested path was: {f}
     css = ""
 
     for cssfile in modules.scripts.list_files_with_name("style.css"):
+        if not os.path.isfile(cssfile):
+            continue
+
         with open(cssfile, "r", encoding="utf8") as file:
             css += file.read() + "\n"
 

From 7fd90128eb6d1820045bfe2c2c1269661023a712 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 14:48:43 +0300
Subject: [PATCH 045/321] added a guard for hypernet training that will stop
 early if weights are getting no gradients

---
 modules/hypernetworks/hypernetwork.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 47d91ea5..46039a49 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -310,6 +310,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
     optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
 
+    steps_without_grad = 0
+
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
@@ -332,8 +334,17 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
             losses[hypernetwork.step % losses.shape[0]] = loss.item()
 
             optimizer.zero_grad()
+            weights[0].grad = None
             loss.backward()
+
+            if weights[0].grad is None:
+                steps_without_grad += 1
+            else:
+                steps_without_grad = 0
+            assert steps_without_grad < 10, 'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
+
             optimizer.step()
+
         mean_loss = losses.mean()
         if torch.isnan(mean_loss):
             raise RuntimeError("Loss diverged.")

From fccba4729db341a299db3343e3264fecd9459a07 Mon Sep 17 00:00:00 2001
From: discus0434 <discus0434@gmail.com>
Date: Sat, 22 Oct 2022 12:02:41 +0000
Subject: [PATCH 046/321] add an option to avoid dying relu

---
 modules/hypernetworks/hypernetwork.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index b7a04038..3132a56c 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -32,7 +32,6 @@ class HypernetworkModule(torch.nn.Module):
         assert layer_structure is not None, "layer_structure must not be None"
         assert layer_structure[0] == 1, "Multiplier Sequence should start with size 1!"
         assert layer_structure[-1] == 1, "Multiplier Sequence should end with size 1!"
-        assert activation_func not in self.activation_dict.keys() + "linear", f"Valid activation funcs: 'linear', 'relu', 'leakyrelu', 'elu', 'swish'"
 
         linears = []
         for i in range(len(layer_structure) - 1):
@@ -43,12 +42,13 @@ class HypernetworkModule(torch.nn.Module):
             # Add an activation func
             if activation_func == "linear" or activation_func is None:
                 pass
+            # If ReLU, Skip adding it to the first layer to avoid dying ReLU
+            elif activation_func == "relu" and i < 1:
+                pass
             elif activation_func in self.activation_dict:
                 linears.append(self.activation_dict[activation_func]())
             else:
-                raise RuntimeError(
-                    "Valid activation funcs: 'linear', 'relu', 'leakyrelu', 'elu', 'swish'"
-                )
+                raise RuntimeError(f'hypernetwork uses an unsupported activation function: {activation_func}')
 
             # Add dropout
             if use_dropout:
@@ -166,8 +166,8 @@ class Hypernetwork:
         for size, sd in state_dict.items():
             if type(size) == int:
                 self.layers[size] = (
-                    HypernetworkModule(size, sd[0], self.layer_structure, self.add_layer_norm, self.activation_func),
-                    HypernetworkModule(size, sd[1], self.layer_structure, self.add_layer_norm, self.activation_func),
+                    HypernetworkModule(size, sd[0], self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
+                    HypernetworkModule(size, sd[1], self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
                 )
 
         self.name = state_dict.get('name', self.name)

From 7912acef725832debef58c4c7bf8ec22fb446c0b Mon Sep 17 00:00:00 2001
From: discus0434 <discus0434@gmail.com>
Date: Sat, 22 Oct 2022 13:00:44 +0000
Subject: [PATCH 047/321] small fix

---
 modules/hypernetworks/hypernetwork.py | 12 +++++-------
 modules/ui.py                         |  1 -
 2 files changed, 5 insertions(+), 8 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 3132a56c..7d12e0ff 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -42,22 +42,20 @@ class HypernetworkModule(torch.nn.Module):
             # Add an activation func
             if activation_func == "linear" or activation_func is None:
                 pass
-            # If ReLU, Skip adding it to the first layer to avoid dying ReLU
-            elif activation_func == "relu" and i < 1:
-                pass
             elif activation_func in self.activation_dict:
                 linears.append(self.activation_dict[activation_func]())
             else:
                 raise RuntimeError(f'hypernetwork uses an unsupported activation function: {activation_func}')
 
-            # Add dropout
-            if use_dropout:
-                linears.append(torch.nn.Dropout(p=0.3))
-
             # Add layer normalization
             if add_layer_norm:
                 linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
+            # Add dropout
+            if use_dropout:
+                p = 0.5 if 0 <= i <= len(layer_structure) - 3 else 0.2
+                linears.append(torch.nn.Dropout(p=p))
+
         self.linear = torch.nn.Sequential(*linears)
 
         if state_dict is not None:
diff --git a/modules/ui.py b/modules/ui.py
index cd118552..eca887ca 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1244,7 +1244,6 @@ def create_ui(wrap_gradio_gpu_call):
                     new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
                     new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
                     overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
-                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu"])
 
                     with gr.Row():
                         with gr.Column(scale=3):

From 6a4fa73a38935a18779ce1809892730fd1572bee Mon Sep 17 00:00:00 2001
From: discus0434 <discus0434@gmail.com>
Date: Sat, 22 Oct 2022 13:44:39 +0000
Subject: [PATCH 048/321] small fix

---
 modules/hypernetworks/hypernetwork.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 3372aae2..3bc71ee5 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -51,10 +51,9 @@ class HypernetworkModule(torch.nn.Module):
             if add_layer_norm:
                 linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
-            # Add dropout
-            if use_dropout:
-                p = 0.5 if 0 <= i <= len(layer_structure) - 3 else 0.2
-                linears.append(torch.nn.Dropout(p=p))
+            # Add dropout expect last layer
+            if use_dropout and i < len(layer_structure) - 3:
+                linears.append(torch.nn.Dropout(p=0.3))
 
         self.linear = torch.nn.Sequential(*linears)
 

From d37cfffd537cd29309afbcb192c4f979995c6a34 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 19:18:56 +0300
Subject: [PATCH 049/321] added callback for creating new settings in
 extensions

---
 modules/script_callbacks.py | 11 +++++++++++
 modules/shared.py           | 19 +++++++++++++++++--
 modules/ui.py               |  6 +++++-
 3 files changed, 33 insertions(+), 3 deletions(-)

diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 866b7acd..1270e50f 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -1,6 +1,7 @@
 
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
+callbacks_ui_settings = []
 
 
 def clear_callbacks():
@@ -22,6 +23,11 @@ def ui_tabs_callback():
     return res
 
 
+def ui_settings_callback():
+    for callback in callbacks_ui_settings:
+        callback()
+
+
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
     passed as an argument"""
@@ -40,3 +46,8 @@ def on_ui_tabs(callback):
     """
     callbacks_ui_tabs.append(callback)
 
+
+def on_ui_settings(callback):
+    """register a function to be called before UI  settingsare populated; add your settings
+    by using shared.opts.add_option(shared.OptionInfo(...)) """
+    callbacks_ui_settings.append(callback)
diff --git a/modules/shared.py b/modules/shared.py
index 5d83971e..d9cb65ef 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -165,13 +165,13 @@ def realesrgan_models_names():
 
 
 class OptionInfo:
-    def __init__(self, default=None, label="", component=None, component_args=None, onchange=None, show_on_main_page=False, refresh=None):
+    def __init__(self, default=None, label="", component=None, component_args=None, onchange=None, section=None, refresh=None):
         self.default = default
         self.label = label
         self.component = component
         self.component_args = component_args
         self.onchange = onchange
-        self.section = None
+        self.section = section
         self.refresh = refresh
 
 
@@ -327,6 +327,7 @@ options_templates.update(options_section(('images-history', "Images Browser"), {
 
 }))
 
+
 class Options:
     data = None
     data_labels = options_templates
@@ -389,6 +390,20 @@ class Options:
         d = {k: self.data.get(k, self.data_labels.get(k).default) for k in self.data_labels.keys()}
         return json.dumps(d)
 
+    def add_option(self, key, info):
+        self.data_labels[key] = info
+
+    def reorder(self):
+        """reorder settings so that all items related to section always go together"""
+
+        section_ids = {}
+        settings_items = self.data_labels.items()
+        for k, item in settings_items:
+            if item.section not in section_ids:
+                section_ids[item.section] = len(section_ids)
+
+        self.data_labels = {k: v for k, v in sorted(settings_items, key=lambda x: section_ids[x[1].section])}
+
 
 opts = Options()
 if os.path.exists(config_filename):
diff --git a/modules/ui.py b/modules/ui.py
index d8d52db1..2849b111 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1461,6 +1461,9 @@ def create_ui(wrap_gradio_gpu_call):
     components = []
     component_dict = {}
 
+    script_callbacks.ui_settings_callback()
+    opts.reorder()
+
     def open_folder(f):
         if not os.path.exists(f):
             print(f'Folder "{f}" does not exist. After you create an image, the folder will be created.')
@@ -1564,7 +1567,8 @@ Requested path was: {f}
 
                     previous_section = item.section
 
-                    gr.HTML(elem_id="settings_header_text_{}".format(item.section[0]), value='<h1 class="gr-button-lg">{}</h1>'.format(item.section[1]))
+                    elem_id, text = item.section
+                    gr.HTML(elem_id="settings_header_text_{}".format(elem_id), value='<h1 class="gr-button-lg">{}</h1>'.format(text))
 
                 if k in quicksettings_names:
                     quicksettings_list.append((i, k, item))

From dbc8ab65f6d496459a76547776b656c96ad1350d Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 19:19:17 +0300
Subject: [PATCH 050/321] typo

---
 modules/script_callbacks.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 1270e50f..5bcccd67 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -48,6 +48,6 @@ def on_ui_tabs(callback):
 
 
 def on_ui_settings(callback):
-    """register a function to be called before UI  settingsare populated; add your settings
+    """register a function to be called before UI settings are populated; add your settings
     by using shared.opts.add_option(shared.OptionInfo(...)) """
     callbacks_ui_settings.append(callback)

From 72383abacdc6a101704a6f73758ce4d0bb68c9d1 Mon Sep 17 00:00:00 2001
From: Greendayle <Greendayle>
Date: Sat, 22 Oct 2022 16:50:07 +0200
Subject: [PATCH 051/321] Deepdanbooru linux fix

---
 modules/deepbooru.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/deepbooru.py b/modules/deepbooru.py
index 8914662d..3c34ab7c 100644
--- a/modules/deepbooru.py
+++ b/modules/deepbooru.py
@@ -50,7 +50,8 @@ def create_deepbooru_process(threshold, deepbooru_opts):
     the tags.
     """
     from modules import shared  # prevents circular reference
-    shared.deepbooru_process_manager = multiprocessing.Manager()
+    context = multiprocessing.get_context("spawn")
+    shared.deepbooru_process_manager = context.Manager()
     shared.deepbooru_process_queue = shared.deepbooru_process_manager.Queue()
     shared.deepbooru_process_return = shared.deepbooru_process_manager.dict()
     shared.deepbooru_process_return["value"] = -1

From e38625011cd4955da4bc67fe95d1d0f4c0c53899 Mon Sep 17 00:00:00 2001
From: Greendayle <Greendayle>
Date: Sat, 22 Oct 2022 16:56:52 +0200
Subject: [PATCH 052/321] fix part2

---
 modules/deepbooru.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/deepbooru.py b/modules/deepbooru.py
index 3c34ab7c..8bbc90a4 100644
--- a/modules/deepbooru.py
+++ b/modules/deepbooru.py
@@ -55,7 +55,7 @@ def create_deepbooru_process(threshold, deepbooru_opts):
     shared.deepbooru_process_queue = shared.deepbooru_process_manager.Queue()
     shared.deepbooru_process_return = shared.deepbooru_process_manager.dict()
     shared.deepbooru_process_return["value"] = -1
-    shared.deepbooru_process = multiprocessing.Process(target=deepbooru_process, args=(shared.deepbooru_process_queue, shared.deepbooru_process_return, threshold, deepbooru_opts))
+    shared.deepbooru_process = context.Process(target=deepbooru_process, args=(shared.deepbooru_process_queue, shared.deepbooru_process_return, threshold, deepbooru_opts))
     shared.deepbooru_process.start()
 
 

From 7613ea12f267143ceb70a9aeb45eb20aca086e3e Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Fri, 21 Oct 2022 11:32:56 -0700
Subject: [PATCH 053/321] Fixed img2imgalt after inpainting update

---
 scripts/img2imgalt.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/scripts/img2imgalt.py b/scripts/img2imgalt.py
index d438175c..88abc093 100644
--- a/scripts/img2imgalt.py
+++ b/scripts/img2imgalt.py
@@ -34,6 +34,9 @@ def find_noise_for_image(p, cond, uncond, cfg_scale, steps):
         sigma_in = torch.cat([sigmas[i] * s_in] * 2)
         cond_in = torch.cat([uncond, cond])
 
+        image_conditioning = torch.cat([p.image_conditioning] * 2)
+        cond_in = {"c_concat": [image_conditioning], "c_crossattn": [cond_in]}
+
         c_out, c_in = [K.utils.append_dims(k, x_in.ndim) for k in dnw.get_scalings(sigma_in)]
         t = dnw.sigma_to_t(sigma_in)
 
@@ -78,6 +81,9 @@ def find_noise_for_image_sigma_adjustment(p, cond, uncond, cfg_scale, steps):
         sigma_in = torch.cat([sigmas[i - 1] * s_in] * 2)
         cond_in = torch.cat([uncond, cond])
 
+        image_conditioning = torch.cat([p.image_conditioning] * 2)
+        cond_in = {"c_concat": [image_conditioning], "c_crossattn": [cond_in]}
+
         c_out, c_in = [K.utils.append_dims(k, x_in.ndim) for k in dnw.get_scalings(sigma_in)]
 
         if i == 1:
@@ -194,7 +200,7 @@ class Script(scripts.Script):
             
             p.seed = p.seed + 1
             
-            return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning)
+            return sampler.sample_img2img(p, p.init_latent, noise_dt, conditioning, unconditional_conditioning, image_conditioning=p.image_conditioning)
 
         p.sample = sample_extra
 

From 96ee7d77077eb3c1eacff802e9ccf194adc04592 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 14:16:26 +0900
Subject: [PATCH 054/321] add ja localization

---
 localizations/ja_JP.json | 413 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 413 insertions(+)
 create mode 100644 localizations/ja_JP.json

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
new file mode 100644
index 00000000..5da28cb6
--- /dev/null
+++ b/localizations/ja_JP.json
@@ -0,0 +1,413 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "読み込み中...",
+    "view": "view",
+    "api": "api",
+    "•": "•",
+    "gradioで作ろう": "gradioで作ろう",
+    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "その他",
+    "PNG Info": "PNG Info",
+    "History": "履歴",
+    "Checkpoint Merger": "Checkpoint Merger",
+    "Train": "学習",
+    "Settings": "設定",
+    "Prompt": "プロンプト",
+    "Negative prompt": "ネガティブ プロンプト",
+    "Run": "実行",
+    "Skip": "スキップ",
+    "Interrupt": "中断",
+    "Generate": "生成！",
+    "Style 1": "スタイル 1",
+    "Style 2": "スタイル 2",
+    "Label": "Label",
+    "File": "ファイル",
+    "ここにファイルをドロップ": "ここにファイルをドロップ",
+    "-": "-",
+    "または": "または",
+    "クリックしてアップロード": "クリックしてアップロード",
+    "Image": "Image",
+    "Check progress": "Check progress",
+    "Check progress (first)": "Check progress (first)",
+    "Sampling Steps": "Sampling Steps",
+    "Sampling method": "Sampling method",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "幅",
+    "Height": "高さ",
+    "Restore faces": "顔修復",
+    "Tiling": "テクスチャ生成モード",
+    "Highres. fix": "*高解像度 fix",
+    "Firstpass width": "Firstpass width",
+    "Firstpass height": "Firstpass height",
+    "Denoising strength": "Denoising 強度",
+    "Batch count": "連続生成回数",
+    "Batch size": "同時生成枚数",
+    "CFG Scale": "CFG Scale",
+    "Seed": "Seed",
+    "Extra": "Extra",
+    "Variation seed": "Variation seed",
+    "Variation strength": "Variation 強度",
+    "Resize seed from width": "Resize seed from width",
+    "Resize seed from height": "Resize seed from height",
+    "Script": "Script",
+    "None": "None",
+    "Prompt matrix": "Prompt matrix",
+    "Prompts from file or textbox": "Prompts from file or textbox",
+    "X/Y plot": "X/Y plot",
+    "Put variable parts at start of prompt": "Put variable parts at start of prompt",
+    "Show Textbox": "Show Textbox",
+    "File with inputs": "File with inputs",
+    "Prompts": "Prompts",
+    "X type": "X type",
+    "Nothing": "Nothing",
+    "Var. seed": "Var. seed",
+    "Var. strength": "Var. 強度",
+    "Steps": "Steps",
+    "Prompt S/R": "Prompt S/R",
+    "Prompt order": "Prompt order",
+    "Sampler": "Sampler",
+    "Checkpoint name": "Checkpoint name",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernet 強度",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min",
+    "Sigma max": "Sigma max",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip skip",
+    "Denoising": "Denoising",
+    "X values": "X values",
+    "Y type": "Y type",
+    "Y values": "Y values",
+    "Draw legend": "Draw legend",
+    "Include Separate Images": "Include Separate Images",
+    "Keep -1 for seeds": "Keep -1 for seeds",
+    "ここに画像をドロップ": "ここに画像をドロップ",
+    "Save": "保存",
+    "Send to img2img": "img2imgに送る",
+    "Send to inpaint": "inpaintに送る",
+    "Send to extras": "その他タブに送る",
+    "Make Zip when Save?": "保存するときZipも同時に作る",
+    "Textbox": "Textbox",
+    "Interrogate\nCLIP": "Interrogate\nCLIP",
+    "Interrogate\nDeepBooru": "Interrogate\nDeepBooru",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Batch img2img",
+    "Image for img2img": "Image for img2img",
+    "Image for inpainting with mask": "Image for inpainting with mask",
+    "Mask": "Mask",
+    "Mask blur": "Mask blur",
+    "Mask mode": "Mask mode",
+    "Draw mask": "Draw mask",
+    "Upload mask": "Upload mask",
+    "Masking mode": "Masking mode",
+    "Inpaint masked": "Inpaint masked",
+    "Inpaint not masked": "Inpaint not masked",
+    "Masked content": "Masked content",
+    "fill": "fill",
+    "original": "original",
+    "latent noise": "latent noise",
+    "latent nothing": "latent nothing",
+    "Inpaint at full resolution": "Inpaint at full resolution",
+    "Inpaint at full resolution padding, pixels": "Inpaint at full resolution padding, pixels",
+    "Process images in a directory on the same machine where the server is running.": "Process images in a directory on the same machine where the server is running.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Use an empty output directory to save pictures normally instead of writing to the output directory.",
+    "Input directory": "Input directory",
+    "Output directory": "Output directory",
+    "Resize mode": "Resize mode",
+    "Just resize": "Just resize",
+    "Crop and resize": "Crop and resize",
+    "Resize and fill": "Resize and fill",
+    "img2img alternative test": "img2img alternative test",
+    "Loopback": "Loopback",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Poor man's outpainting",
+    "SD upscale": "SD upscale",
+    "should be 2 or lower.": "should be 2 or lower.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
+    "Original prompt": "Original prompt",
+    "Original negative prompt": "Original negative prompt",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
+    "Decode steps": "Decode steps",
+    "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
+    "Decode CFG scale": "Decode CFG scale",
+    "Randomness": "Randomness",
+    "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
+    "Loops": "Loops",
+    "Denoising strength change factor": "Denoising strength change factor",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
+    "Pixels to expand": "Pixels to expand",
+    "Outpainting direction": "Outpainting direction",
+    "left": "left",
+    "right": "right",
+    "up": "up",
+    "down": "down",
+    "Fall-off exponent (lower=higher detail)": "Fall-off exponent (lower=higher detail)",
+    "Color variation": "Color variation",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Will upscale the image to twice the dimensions; use width and height sliders to set tile size",
+    "Tile overlap": "Tile overlap",
+    "Upscaler": "Upscaler",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR 4x": "SwinIR 4x",
+    "Single Image": "Single Image",
+    "Batch Process": "Batch Process",
+    "Batch from Directory": "Batch from Directory",
+    "Source": "Source",
+    "Show result images": "Show result images",
+    "Scale by": "Scale by",
+    "Scale to": "Scale to",
+    "Resize": "Resize",
+    "Crop to fit": "Crop to fit",
+    "Upscaler 2": "Upscaler 2",
+    "Upscaler 2 visibility": "Upscaler 2 visibility",
+    "GFPGAN visibility": "GFPGAN visibility",
+    "CodeFormer visibility": "CodeFormer visibility",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
+    "Open output directory": "出力フォルダを開く",
+    "Send to txt2img": "Send to txt2img",
+    "txt2img history": "txt2img history",
+    "img2img history": "img2img history",
+    "extras history": "extras history",
+    "Renew Page": "Renew Page",
+    "First Page": "First Page",
+    "Prev Page": "Prev Page",
+    "Page Index": "Page Index",
+    "Next Page": "Next Page",
+    "End Page": "End Page",
+    "number of images to delete consecutively next": "number of images to delete consecutively next",
+    "Delete": "Delete",
+    "Generate Info": "Generate Info",
+    "File Name": "File Name",
+    "set_index": "set_index",
+    "A merger of the two checkpoints will be generated in your": "A merger of the two checkpoints will be generated in your",
+    "checkpoint": "checkpoint",
+    "directory.": "directory.",
+    "Primary model (A)": "Primary model (A)",
+    "Secondary model (B)": "Secondary model (B)",
+    "Tertiary model (C)": "Tertiary model (C)",
+    "Custom Name (Optional)": "Custom Name (Optional)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - set to 0 to get model A",
+    "Interpolation Method": "Interpolation Method",
+    "Weighted sum": "Weighted sum",
+    "Add difference": "Add difference",
+    "Save as float16": "Save as float16",
+    "See": "See",
+    "wiki": "wiki",
+    "for detailed explanation.": "for detailed explanation.",
+    "Create embedding": "Create embedding",
+    "Create hypernetwork": "Create hypernetwork",
+    "Preprocess images": "Preprocess images",
+    "Name": "Name",
+    "Initialization text": "Initialization text",
+    "Number of vectors per token": "Number of vectors per token",
+    "Modules": "Modules",
+    "Source directory": "Source directory",
+    "Destination directory": "Destination directory",
+    "Create flipped copies": "Create flipped copies",
+    "Split oversized images into two": "Split oversized images into two",
+    "Use BLIP for caption": "Use BLIP for caption",
+    "Use deepbooru for caption": "Use deepbooru for caption",
+    "Preprocess": "Preprocess",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Train an embedding; must specify a directory with a set of 1:1 ratio images",
+    "Embedding": "Embedding",
+    "Learning rate": "Learning rate",
+    "Dataset directory": "Dataset directory",
+    "Log directory": "Log directory",
+    "Prompt template file": "Prompt template file",
+    "Max steps": "Max steps",
+    "Save an image to log directory every N steps, 0 to disable": "Save an image to log directory every N steps, 0 to disable",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Save a copy of embedding to log directory every N steps, 0 to disable",
+    "Save images with embedding in PNG chunks": "Save images with embedding in PNG chunks",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
+    "Train Hypernetwork": "Train Hypernetwork",
+    "Train Embedding": "Train Embedding",
+    "Apply settings": "Apply settings",
+    "Saving images/grids": "Saving images/grids",
+    "Always save all generated images": "Always save all generated images",
+    "File format for images": "File format for images",
+    "Images filename pattern": "Images filename pattern",
+    "Always save all generated image grids": "Always save all generated image grids",
+    "File format for grids": "File format for grids",
+    "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
+    "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
+    "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
+    "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
+    "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
+    "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
+    "Quality for saved jpeg images": "Quality for saved jpeg images",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
+    "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
+    "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+    "Do not add watermark to images": "Do not add watermark to images",
+    "Paths for saving": "Paths for saving",
+    "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
+    "Output directory for txt2img images": "Output directory for txt2img images",
+    "Output directory for img2img images": "Output directory for img2img images",
+    "Output directory for images from extras tab": "Output directory for images from extras tab",
+    "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
+    "Output directory for txt2img grids": "Output directory for txt2img grids",
+    "Output directory for img2img grids": "Output directory for img2img grids",
+    "Directory for saving images using the Save button": "Directory for saving images using the Save button",
+    "Saving to a directory": "Saving to a directory",
+    "Save images to a subdirectory": "Save images to a subdirectory",
+    "Save grids to a subdirectory": "Save grids to a subdirectory",
+    "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
+    "Directory name pattern": "Directory name pattern",
+    "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+    "Upscaling": "Upscaling",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
+    "Tile size for all SwinIR.": "Tile size for all SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
+    "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+    "Upscaler for img2img": "Upscaler for img2img",
+    "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
+    "Face restoration": "Face restoration",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+    "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
+    "System": "System",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+    "Always print all generation info to standard output": "Always print all generation info to standard output",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+    "Training": "Training",
+    "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
+    "Filename word regex": "Filename word regex",
+    "Filename join string": "Filename join string",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+    "Hypernetwork strength": "Hypernetwork strength",
+    "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
+    "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+    "Filter NSFW content": "Filter NSFW content",
+    "Stop At last layers of CLIP model": "Stop At last layers of CLIP model",
+    "Interrogate Options": "Interrogate Options",
+    "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
+    "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
+    "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
+    "Interrogate: maximum description length": "Interrogate: maximum description length",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+    "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
+    "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
+    "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+    "User interface": "User interface",
+    "Show progressbar": "Show progressbar",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
+    "Show grid in results for web": "Show grid in results for web",
+    "Do not show any images in results for web": "Do not show any images in results for web",
+    "Add model hash to generation information": "Add model hash to generation information",
+    "Add model name to generation information": "Add model name to generation information",
+    "Font for image grids that have text": "Font for image grids that have text",
+    "Enable full page image viewer": "Enable full page image viewer",
+    "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
+    "Show generation progress in window title.": "Show generation progress in window title.",
+    "Quicksettings list": "Quicksettings list",
+    "Localization (requires restart)": "Localization (requires restart)",
+    "ja_JP": "ja_JP",
+    "Sampler parameters": "Sampler parameters",
+    "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
+    "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "uniform",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Request browser notifications",
+    "Download localization template": "Download localization template",
+    "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "ネガティブ プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
+    "Add a random artist to the prompt.": "Add a random artist to the prompt.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
+    "Save style": "Save style",
+    "Apply selected styles to current prompt": "Apply selected styles to current prompt",
+    "Stop processing current image and continue processing.": "Stop processing current image and continue processing.",
+    "Stop processing images and return any results accumulated so far.": "Stop processing images and return any results accumulated so far.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+    "Do not do anything special": "Do not do anything special",
+    "Which algorithm to use to produce the image": "Which algorithm to use to produce the image",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - best at inpainting",
+    "Produce an image that can be tiled.": "Produce an image that can be tiled.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
+    "How many batches of images to create": "How many batches of images to create",
+    "How many image to create in a single batch": "How many image to create in a single batch",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
+    "Set seed to -1, which will cause a new random number to be used every time": "Set seed to -1, which will cause a new random number to be used every time",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Reuse seed from last generation, mostly useful if it was randomed",
+    "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
+    "Separate values for X axis using commas.": "Separate values for X axis using commas.",
+    "Separate values for Y axis using commas.": "Separate values for Y axis using commas.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
+    "Open images output directory": "Open images output directory",
+    "How much to blur the mask before processing, in pixels.": "How much to blur the mask before processing, in pixels.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "What to put inside the masked area before processing it with Stable Diffusion.",
+    "fill it with colors of the image": "fill it with colors of the image",
+    "keep whatever was there originally": "keep whatever was there originally",
+    "fill it with latent space noise": "fill it with latent space noise",
+    "fill it with latent space zeroes": "fill it with latent space zeroes",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "How many times to repeat processing an image and using it as input for the next iteration",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.",
+    "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
+    "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
+    "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+    "Path to directory with input images": "Path to directory with input images",
+    "Path to directory where to write outputs": "Path to directory where to write outputs",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "Restore low quality faces using GFPGAN neural network": "Restore low quality faces using GFPGAN neural network",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing."
+}
\ No newline at end of file

From eb2dae196e5d901162d477f24c1ebb2597b13dfb Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 14:40:07 +0900
Subject: [PATCH 055/321] add ja translation

---
 localizations/ja_JP.json | 48 ++++++++++++++++++++--------------------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 5da28cb6..27bd342a 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -13,9 +13,9 @@
     "txt2img": "txt2img",
     "img2img": "img2img",
     "Extras": "その他",
-    "PNG Info": "PNG Info",
+    "PNG Info": "PNG内の情報を表示",
     "History": "履歴",
-    "Checkpoint Merger": "Checkpoint Merger",
+    "Checkpoint Merger": "Checkpointの統合",
     "Train": "学習",
     "Settings": "設定",
     "Prompt": "プロンプト",
@@ -35,8 +35,8 @@
     "Image": "Image",
     "Check progress": "Check progress",
     "Check progress (first)": "Check progress (first)",
-    "Sampling Steps": "Sampling Steps",
-    "Sampling method": "Sampling method",
+    "Sampling Steps": "サンプリング回数",
+    "Sampling method": "サンプリングアルゴリズム",
     "Euler a": "Euler a",
     "Euler": "Euler",
     "LMS": "LMS",
@@ -57,18 +57,18 @@
     "Highres. fix": "*高解像度 fix",
     "Firstpass width": "Firstpass width",
     "Firstpass height": "Firstpass height",
-    "Denoising strength": "Denoising 強度",
+    "Denoising strength": "ノイズ除去 強度",
     "Batch count": "連続生成回数",
     "Batch size": "同時生成枚数",
     "CFG Scale": "CFG Scale",
-    "Seed": "Seed",
-    "Extra": "Extra",
-    "Variation seed": "Variation seed",
+    "Seed": "シード値",
+    "Extra": "その他",
+    "Variation seed": "Variation シード値",
     "Variation strength": "Variation 強度",
     "Resize seed from width": "Resize seed from width",
     "Resize seed from height": "Resize seed from height",
-    "Script": "Script",
-    "None": "None",
+    "Script": "スクリプト",
+    "None": "なし",
     "Prompt matrix": "Prompt matrix",
     "Prompts from file or textbox": "Prompts from file or textbox",
     "X/Y plot": "X/Y plot",
@@ -84,7 +84,7 @@
     "Prompt S/R": "Prompt S/R",
     "Prompt order": "Prompt order",
     "Sampler": "Sampler",
-    "Checkpoint name": "Checkpoint name",
+    "Checkpoint name": "Checkpoint名",
     "Hypernetwork": "Hypernetwork",
     "Hypernet str.": "Hypernet 強度",
     "Sigma Churn": "Sigma Churn",
@@ -103,13 +103,13 @@
     "ここに画像をドロップ": "ここに画像をドロップ",
     "Save": "保存",
     "Send to img2img": "img2imgに送る",
-    "Send to inpaint": "inpaintに送る",
+    "Send to inpaint": "描き直しに送る",
     "Send to extras": "その他タブに送る",
     "Make Zip when Save?": "保存するときZipも同時に作る",
     "Textbox": "Textbox",
     "Interrogate\nCLIP": "Interrogate\nCLIP",
     "Interrogate\nDeepBooru": "Interrogate\nDeepBooru",
-    "Inpaint": "Inpaint",
+    "Inpaint": "描き直し(Inpaint)",
     "Batch img2img": "Batch img2img",
     "Image for img2img": "Image for img2img",
     "Image for inpainting with mask": "Image for inpainting with mask",
@@ -132,16 +132,16 @@
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Use an empty output directory to save pictures normally instead of writing to the output directory.",
     "Input directory": "Input directory",
     "Output directory": "Output directory",
-    "Resize mode": "Resize mode",
-    "Just resize": "Just resize",
-    "Crop and resize": "Crop and resize",
-    "Resize and fill": "Resize and fill",
+    "Resize mode": "リサイズモード",
+    "Just resize": "リサイズのみ",
+    "Crop and resize": "切り取ってからリサイズ",
+    "Resize and fill": "リサイズして埋める",
     "img2img alternative test": "img2img alternative test",
     "Loopback": "Loopback",
     "Outpainting mk2": "Outpainting mk2",
     "Poor man's outpainting": "Poor man's outpainting",
-    "SD upscale": "SD upscale",
-    "should be 2 or lower.": "should be 2 or lower.",
+    "SD upscale": "SD アップスケール",
+    "should be 2 or lower.": "2以下にすること",
     "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
     "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
     "Original prompt": "Original prompt",
@@ -370,19 +370,19 @@
     "Produce an image that can be tiled.": "Produce an image that can be tiled.",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
-    "How many batches of images to create": "How many batches of images to create",
-    "How many image to create in a single batch": "How many image to create in a single batch",
+    "How many batches of images to create": "バッチ処理を何回行うか",
+    "How many image to create in a single batch": "1回のバッチ処理で何枚の画像を生成するか",
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
     "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
-    "Set seed to -1, which will cause a new random number to be used every time": "Set seed to -1, which will cause a new random number to be used every time",
-    "Reuse seed from last generation, mostly useful if it was randomed": "Reuse seed from last generation, mostly useful if it was randomed",
+    "Set seed to -1, which will cause a new random number to be used every time": "シード値を -1 に設定するとランダムに生成します。",
+    "Reuse seed from last generation, mostly useful if it was randomed": "前回生成時のシード値を読み出す。(ランダム生成時に便利)",
     "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
     "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
     "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
     "Separate values for X axis using commas.": "Separate values for X axis using commas.",
     "Separate values for Y axis using commas.": "Separate values for Y axis using commas.",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
-    "Open images output directory": "Open images output directory",
+    "Open images output directory": "画像の出力フォルダを開く",
     "How much to blur the mask before processing, in pixels.": "How much to blur the mask before processing, in pixels.",
     "What to put inside the masked area before processing it with Stable Diffusion.": "What to put inside the masked area before processing it with Stable Diffusion.",
     "fill it with colors of the image": "fill it with colors of the image",

From 070fda592bf80fb348ffe8e17b7c71cc288db729 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 15:20:00 +0900
Subject: [PATCH 056/321] add ja translation

---
 localizations/ja_JP.json | 128 +++++++++++++++++++--------------------
 1 file changed, 64 insertions(+), 64 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 27bd342a..11f747b4 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -26,13 +26,13 @@
     "Generate": "生成！",
     "Style 1": "スタイル 1",
     "Style 2": "スタイル 2",
-    "Label": "Label",
+    "Label": "ラベル",
     "File": "ファイル",
     "ここにファイルをドロップ": "ここにファイルをドロップ",
     "-": "-",
     "または": "または",
     "クリックしてアップロード": "クリックしてアップロード",
-    "Image": "Image",
+    "Image": "画像",
     "Check progress": "Check progress",
     "Check progress (first)": "Check progress (first)",
     "Sampling Steps": "サンプリング回数",
@@ -54,12 +54,12 @@
     "Height": "高さ",
     "Restore faces": "顔修復",
     "Tiling": "テクスチャ生成モード",
-    "Highres. fix": "*高解像度 fix",
+    "Highres. fix": "(※)高解像度 fix",
     "Firstpass width": "Firstpass width",
     "Firstpass height": "Firstpass height",
     "Denoising strength": "ノイズ除去 強度",
-    "Batch count": "連続生成回数",
-    "Batch size": "同時生成枚数",
+    "Batch count": "バッチ生成回数",
+    "Batch size": "バッチあたり生成枚数",
     "CFG Scale": "CFG Scale",
     "Seed": "シード値",
     "Extra": "その他",
@@ -77,16 +77,16 @@
     "File with inputs": "File with inputs",
     "Prompts": "Prompts",
     "X type": "X type",
-    "Nothing": "Nothing",
+    "Nothing": "なし",
     "Var. seed": "Var. seed",
     "Var. strength": "Var. 強度",
-    "Steps": "Steps",
+    "Steps": "ステップ数",
     "Prompt S/R": "Prompt S/R",
     "Prompt order": "Prompt order",
-    "Sampler": "Sampler",
+    "Sampler": "サンプラー",
     "Checkpoint name": "Checkpoint名",
     "Hypernetwork": "Hypernetwork",
-    "Hypernet str.": "Hypernet 強度",
+    "Hypernet str.": "Hypernet強度",
     "Sigma Churn": "Sigma Churn",
     "Sigma min": "Sigma min",
     "Sigma max": "Sigma max",
@@ -192,78 +192,78 @@
     "txt2img history": "txt2img history",
     "img2img history": "img2img history",
     "extras history": "extras history",
-    "Renew Page": "Renew Page",
-    "First Page": "First Page",
-    "Prev Page": "Prev Page",
-    "Page Index": "Page Index",
-    "Next Page": "Next Page",
-    "End Page": "End Page",
+    "Renew Page": "更新",
+    "First Page": "最初のぺージへ",
+    "Prev Page": "前ページへ",
+    "Page Index": "ページ番号",
+    "Next Page": "次ページへ",
+    "End Page": "最後のページへ",
     "number of images to delete consecutively next": "number of images to delete consecutively next",
-    "Delete": "Delete",
+    "Delete": "削除",
     "Generate Info": "Generate Info",
     "File Name": "File Name",
     "set_index": "set_index",
-    "A merger of the two checkpoints will be generated in your": "A merger of the two checkpoints will be generated in your",
+    "A merger of the two checkpoints will be generated in your": "統合されたチェックポイントはあなたの",
     "checkpoint": "checkpoint",
-    "directory.": "directory.",
-    "Primary model (A)": "Primary model (A)",
-    "Secondary model (B)": "Secondary model (B)",
-    "Tertiary model (C)": "Tertiary model (C)",
-    "Custom Name (Optional)": "Custom Name (Optional)",
-    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - set to 0 to get model A",
+    "directory.": "フォルダに保存されます.",
+    "Primary model (A)": "1つめのmodel (A)",
+    "Secondary model (B)": "2つめのmodel (B)",
+    "Tertiary model (C)": "3つめのmodel (C)",
+    "Custom Name (Optional)": "Custom Name (任意)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) 0にすると完全にmodel Aとなります",
     "Interpolation Method": "Interpolation Method",
     "Weighted sum": "Weighted sum",
     "Add difference": "Add difference",
-    "Save as float16": "Save as float16",
-    "See": "See",
+    "Save as float16": "float16で保存",
+    "See": "詳細な説明については",
     "wiki": "wiki",
-    "for detailed explanation.": "for detailed explanation.",
-    "Create embedding": "Create embedding",
-    "Create hypernetwork": "Create hypernetwork",
-    "Preprocess images": "Preprocess images",
-    "Name": "Name",
+    "for detailed explanation.": "を見てください。",
+    "Create embedding": "Embeddingを作る",
+    "Create hypernetwork": "Hypernetworkを作る",
+    "Preprocess images": "画像の前処理",
+    "Name": "ファイル名",
     "Initialization text": "Initialization text",
     "Number of vectors per token": "Number of vectors per token",
     "Modules": "Modules",
-    "Source directory": "Source directory",
-    "Destination directory": "Destination directory",
-    "Create flipped copies": "Create flipped copies",
-    "Split oversized images into two": "Split oversized images into two",
-    "Use BLIP for caption": "Use BLIP for caption",
-    "Use deepbooru for caption": "Use deepbooru for caption",
-    "Preprocess": "Preprocess",
-    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Train an embedding; must specify a directory with a set of 1:1 ratio images",
+    "Source directory": "入力フォルダ",
+    "Destination directory": "出力フォルダ",
+    "Create flipped copies": "反転画像を生成する",
+    "Split oversized images into two": "大きすぎる画像を2分割する",
+    "Use BLIP for caption": "BLIPで説明をつける",
+    "Use deepbooru for caption": "deepbooruで説明をつける",
+    "Preprocess": "前処理開始",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "embeddingの学習をします;データセット内の画像は正方形でなければなりません。",
     "Embedding": "Embedding",
-    "Learning rate": "Learning rate",
-    "Dataset directory": "Dataset directory",
-    "Log directory": "Log directory",
+    "Learning rate": "学習率",
+    "Dataset directory": "データセットフォルダ",
+    "Log directory": "ログフォルダ",
     "Prompt template file": "Prompt template file",
-    "Max steps": "Max steps",
-    "Save an image to log directory every N steps, 0 to disable": "Save an image to log directory every N steps, 0 to disable",
-    "Save a copy of embedding to log directory every N steps, 0 to disable": "Save a copy of embedding to log directory every N steps, 0 to disable",
-    "Save images with embedding in PNG chunks": "Save images with embedding in PNG chunks",
+    "Max steps": "最大ステップ数",
+    "Save an image to log directory every N steps, 0 to disable": "指定したステップ数ごとに画像を生成し、ログに保存する。0で無効化。",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "指定したステップ数ごとにEmbeddingのコピーをログに保存する。0で無効化。",
+    "Save images with embedding in PNG chunks": "保存する画像にembeddingを埋め込む",
     "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
-    "Train Hypernetwork": "Train Hypernetwork",
-    "Train Embedding": "Train Embedding",
+    "Train Hypernetwork": "Hypernetworkの学習を開始",
+    "Train Embedding": "Embeddingの学習を開始",
     "Apply settings": "Apply settings",
-    "Saving images/grids": "Saving images/grids",
-    "Always save all generated images": "Always save all generated images",
-    "File format for images": "File format for images",
-    "Images filename pattern": "Images filename pattern",
-    "Always save all generated image grids": "Always save all generated image grids",
-    "File format for grids": "File format for grids",
-    "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
-    "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
-    "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
-    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
-    "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
-    "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
-    "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
-    "Quality for saved jpeg images": "Quality for saved jpeg images",
-    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
+    "Saving images/grids": "画像/グリッドの保存",
+    "Always save all generated images": "生成された画像をすべて保存する",
+    "File format for images": "画像ファイルの保存形式",
+    "Images filename pattern": "ファイル名のパターン",
+    "Always save all generated image grids": "グリッド画像を常に保存する",
+    "File format for grids": "グリッド画像の保存形式",
+    "Add extended info (seed, prompt) to filename when saving grid": "保存するグリッド画像のファイル名に追加情報(シード値、プロンプト)を加える",
+    "Do not save grids consisting of one picture": "1画像からなるグリッド画像は保存しない",
+    "Prevent empty spots in grid (when set to autodetect)": "(自動設定のとき)グリッドに空隙が生じるのを防ぐ",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "グリッドの列数; -1で自動設定、0でバッチ生成回数と同じにする",
+    "Save text information about generation parameters as chunks to png files": "生成に関するパラメーターをpng画像に含める",
+    "Create a text file next to every image with generation parameters.": "保存する画像とともに生成パラメータをテキストファイルで保存する",
+    "Save a copy of image before doing face restoration.": "顔修復を行う前にコピーを保存しておく。",
+    "Quality for saved jpeg images": "JPG保存時の画質",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG画像が4MBを超えるか、どちらか1辺の長さが4000を超えたなら、ダウンスケールしてコピーを別にJPGで保存する",
     "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
     "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
-    "Do not add watermark to images": "Do not add watermark to images",
+    "Do not add watermark to images": "電子透かしを画像に追加しない",
     "Paths for saving": "Paths for saving",
     "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
     "Output directory for txt2img images": "Output directory for txt2img images",
@@ -403,7 +403,7 @@
     "Path to directory with input images": "Path to directory with input images",
     "Path to directory where to write outputs": "Path to directory where to write outputs",
     "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "このオプションを有効にすると、作成された画像にウォーターマークが追加されなくなります。警告:ウォーターマークを追加しない場合、非倫理的な行動とみなされる場合があります。",
     "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
     "Restore low quality faces using GFPGAN neural network": "Restore low quality faces using GFPGAN neural network",
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",

From 7043f4eff3913ac1ed0ae1621f622c90437c6843 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 15:57:39 +0900
Subject: [PATCH 057/321] improve ja translation

---
 localizations/ja_JP.json | 92 ++++++++++++++++++++--------------------
 1 file changed, 46 insertions(+), 46 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 11f747b4..87809d72 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -54,7 +54,7 @@
     "Height": "高さ",
     "Restore faces": "顔修復",
     "Tiling": "テクスチャ生成モード",
-    "Highres. fix": "(※)高解像度 fix",
+    "Highres. fix": "高解像度 fix(マウスオーバーで詳細)",
     "Firstpass width": "Firstpass width",
     "Firstpass height": "Firstpass height",
     "Denoising strength": "ノイズ除去 強度",
@@ -75,7 +75,7 @@
     "Put variable parts at start of prompt": "Put variable parts at start of prompt",
     "Show Textbox": "Show Textbox",
     "File with inputs": "File with inputs",
-    "Prompts": "Prompts",
+    "Prompts": "プロンプト",
     "X type": "X type",
     "Nothing": "なし",
     "Var. seed": "Var. seed",
@@ -123,26 +123,26 @@
     "Inpaint not masked": "Inpaint not masked",
     "Masked content": "Masked content",
     "fill": "fill",
-    "original": "original",
+    "original": "オリジナル",
     "latent noise": "latent noise",
     "latent nothing": "latent nothing",
     "Inpaint at full resolution": "Inpaint at full resolution",
     "Inpaint at full resolution padding, pixels": "Inpaint at full resolution padding, pixels",
     "Process images in a directory on the same machine where the server is running.": "Process images in a directory on the same machine where the server is running.",
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Use an empty output directory to save pictures normally instead of writing to the output directory.",
-    "Input directory": "Input directory",
-    "Output directory": "Output directory",
+    "Input directory": "入力フォルダ",
+    "Output directory": "出力フォルダ",
     "Resize mode": "リサイズモード",
     "Just resize": "リサイズのみ",
     "Crop and resize": "切り取ってからリサイズ",
     "Resize and fill": "リサイズして埋める",
     "img2img alternative test": "img2img alternative test",
-    "Loopback": "Loopback",
+    "Loopback": "ループバック",
     "Outpainting mk2": "Outpainting mk2",
     "Poor man's outpainting": "Poor man's outpainting",
     "SD upscale": "SD アップスケール",
     "should be 2 or lower.": "2以下にすること",
-    "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
+    "Override `Sampling method` to Euler?(this method is built for it)": "サンプリングアルゴリズムをEulerに上書きする(そうすることを前提に設計されています)",
     "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
     "Original prompt": "Original prompt",
     "Original negative prompt": "Original negative prompt",
@@ -157,15 +157,15 @@
     "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
     "Pixels to expand": "Pixels to expand",
     "Outpainting direction": "Outpainting direction",
-    "left": "left",
-    "right": "right",
-    "up": "up",
-    "down": "down",
+    "left": "左",
+    "right": "右",
+    "up": "上",
+    "down": "下",
     "Fall-off exponent (lower=higher detail)": "Fall-off exponent (lower=higher detail)",
     "Color variation": "Color variation",
     "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Will upscale the image to twice the dimensions; use width and height sliders to set tile size",
     "Tile overlap": "Tile overlap",
-    "Upscaler": "Upscaler",
+    "Upscaler": "アップスケーラー",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
     "BSRGAN 4x": "BSRGAN 4x",
@@ -173,25 +173,25 @@
     "ScuNET GAN": "ScuNET GAN",
     "ScuNET PSNR": "ScuNET PSNR",
     "SwinIR 4x": "SwinIR 4x",
-    "Single Image": "Single Image",
-    "Batch Process": "Batch Process",
-    "Batch from Directory": "Batch from Directory",
-    "Source": "Source",
-    "Show result images": "Show result images",
-    "Scale by": "Scale by",
-    "Scale to": "Scale to",
-    "Resize": "Resize",
-    "Crop to fit": "Crop to fit",
-    "Upscaler 2": "Upscaler 2",
+    "Single Image": "単一画像",
+    "Batch Process": "バッチ処理",
+    "Batch from Directory": "フォルダからバッチ処理",
+    "Source": "入力",
+    "Show result images": "出力画像を表示",
+    "Scale by": "倍率指定",
+    "Scale to": "解像度指定",
+    "Resize": "倍率",
+    "Crop to fit": "合うように切り抜き",
+    "Upscaler 2": "アップスケーラー 2",
     "Upscaler 2 visibility": "Upscaler 2 visibility",
     "GFPGAN visibility": "GFPGAN visibility",
     "CodeFormer visibility": "CodeFormer visibility",
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
     "Open output directory": "出力フォルダを開く",
-    "Send to txt2img": "Send to txt2img",
-    "txt2img history": "txt2img history",
-    "img2img history": "img2img history",
-    "extras history": "extras history",
+    "Send to txt2img": "txt2imgに送る",
+    "txt2img history": "txt2imgの履歴",
+    "img2img history": "img2imgの履歴",
+    "extras history": "その他タブの履歴",
     "Renew Page": "更新",
     "First Page": "最初のぺージへ",
     "Prev Page": "前ページへ",
@@ -200,8 +200,8 @@
     "End Page": "最後のページへ",
     "number of images to delete consecutively next": "number of images to delete consecutively next",
     "Delete": "削除",
-    "Generate Info": "Generate Info",
-    "File Name": "File Name",
+    "Generate Info": "生成情報",
+    "File Name": "ファイル名",
     "set_index": "set_index",
     "A merger of the two checkpoints will be generated in your": "統合されたチェックポイントはあなたの",
     "checkpoint": "checkpoint",
@@ -265,27 +265,27 @@
     "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
     "Do not add watermark to images": "電子透かしを画像に追加しない",
     "Paths for saving": "Paths for saving",
-    "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
-    "Output directory for txt2img images": "Output directory for txt2img images",
-    "Output directory for img2img images": "Output directory for img2img images",
-    "Output directory for images from extras tab": "Output directory for images from extras tab",
-    "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
-    "Output directory for txt2img grids": "Output directory for txt2img grids",
-    "Output directory for img2img grids": "Output directory for img2img grids",
-    "Directory for saving images using the Save button": "Directory for saving images using the Save button",
-    "Saving to a directory": "Saving to a directory",
-    "Save images to a subdirectory": "Save images to a subdirectory",
-    "Save grids to a subdirectory": "Save grids to a subdirectory",
-    "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
-    "Directory name pattern": "Directory name pattern",
+    "Output directory for images; if empty, defaults to three directories below": "画像の保存先フォルダ(下項目のデフォルト値になります)",
+    "Output directory for txt2img images": "txt2imgで作った画像の保存先フォルダ",
+    "Output directory for img2img images": "img2imgで作った画像の保存先フォルダ",
+    "Output directory for images from extras tab": "その他タブで作った画像の保存先フォルダ",
+    "Output directory for grids; if empty, defaults to two directories below": "画像の保存先フォルダ(下項目のデフォルト値になります)",
+    "Output directory for txt2img grids": "txt2imgで作ったグリッドの保存先フォルダ",
+    "Output directory for img2img grids": "img2imgで作ったグリッドの保存先フォルダ",
+    "Directory for saving images using the Save button": "保存ボタンを押したときの画像の保存先フォルダ",
+    "Saving to a directory": "フォルダについて",
+    "Save images to a subdirectory": "画像をサブフォルダに保存する",
+    "Save grids to a subdirectory": "グリッドをサブフォルダに保存する",
+    "When using \"Save\" button, save images to a subdirectory": "保存ボタンを押した時、画像をサブフォルダに保存する",
+    "Directory name pattern": "フォルダ名のパターン",
     "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
-    "Upscaling": "Upscaling",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
+    "Upscaling": "アップスケール",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGANのタイルサイズ。0とするとタイルしない。",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGANのタイルの重複部分のピクセル数。少なくするとつなぎ目が見えやすくなる。",
     "Tile size for all SwinIR.": "Tile size for all SwinIR.",
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
     "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
-    "Upscaler for img2img": "Upscaler for img2img",
+    "Upscaler for img2img": "img2imgで使うアップスケーラー",
     "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
     "Face restoration": "Face restoration",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
@@ -368,7 +368,7 @@
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - best at inpainting",
     "Produce an image that can be tiled.": "Produce an image that can be tiled.",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "2ステップで、まず部分的に小さい解像度で画像を作成し、その後アップスケールすることで、構図を変えずにディテールが改善されます。",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
     "How many batches of images to create": "バッチ処理を何回行うか",
     "How many image to create in a single batch": "1回のバッチ処理で何枚の画像を生成するか",

From 0262bf64ddbf85e05ddd120929138d3c5dac3bac Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 16:38:31 +0900
Subject: [PATCH 058/321] improve ja translation

---
 localizations/ja_JP.json | 48 ++++++++++++++++++++--------------------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 87809d72..fc958656 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -282,19 +282,19 @@
     "Upscaling": "アップスケール",
     "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGANのタイルサイズ。0とするとタイルしない。",
     "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGANのタイルの重複部分のピクセル数。少なくするとつなぎ目が見えやすくなる。",
-    "Tile size for all SwinIR.": "Tile size for all SwinIR.",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
+    "Tile size for all SwinIR.": "SwinIRのタイルサイズ",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIRのタイルの重複部分のピクセル数。少なくするとつなぎ目が見えやすくなる。",
     "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
     "Upscaler for img2img": "img2imgで使うアップスケーラー",
-    "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
-    "Face restoration": "Face restoration",
-    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+    "Upscale latent space image when doing hires. fix": "高解像度 fix時に潜在空間(latent space)の画像をアップスケールする",
+    "Face restoration": "顔修復",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormerの重みパラメーター;0が最大で1が最小",
     "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
-    "System": "System",
+    "System": "システム設定",
     "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
-    "Always print all generation info to standard output": "Always print all generation info to standard output",
+    "Always print all generation info to standard output": "常にすべての生成に関する情報を標準出力(stdout)に出力する",
     "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
-    "Training": "Training",
+    "Training": "学習",
     "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
     "Filename word regex": "Filename word regex",
     "Filename join string": "Filename join string",
@@ -307,15 +307,15 @@
     "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
-    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "強調: (text)とするとモデルはtextをより強く扱い、[text]とするとモデルはtextをより弱く扱います。",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "古い強調の実装を使う。古い生成物を再現するのに使えます。",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
     "Filter NSFW content": "Filter NSFW content",
-    "Stop At last layers of CLIP model": "Stop At last layers of CLIP model",
-    "Interrogate Options": "Interrogate Options",
-    "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
-    "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+    "Stop At last layers of CLIP model": "最後から何層目でCLIPを止めるか(stop…layers of CLIP model)",
+    "Interrogate Options": "Interrogate 設定",
+    "Interrogate: keep models in VRAM": "Interrogate: モデルをVRAMに保持する",
+    "Interrogate: use artists from artists.csv": "Interrogate: artists.csvにある芸術家などの名称を利用する",
     "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
     "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
     "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
@@ -337,9 +337,9 @@
     "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
     "Show generation progress in window title.": "Show generation progress in window title.",
     "Quicksettings list": "Quicksettings list",
-    "Localization (requires restart)": "Localization (requires restart)",
+    "Localization (requires restart)": "言語 (プログラムの再起動が必要)",
     "ja_JP": "ja_JP",
-    "Sampler parameters": "Sampler parameters",
+    "Sampler parameters": "サンプラー parameters",
     "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
     "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
     "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
@@ -350,16 +350,16 @@
     "sigma tmin": "sigma tmin",
     "sigma noise": "sigma noise",
     "Eta noise seed delta": "Eta noise seed delta",
-    "Request browser notifications": "Request browser notifications",
-    "Download localization template": "Download localization template",
-    "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
-    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+    "Request browser notifications": "ブラウザ通知の許可を要求する",
+    "Download localization template": "ローカライゼーション用のテンプレートをダウンロードする",
+    "Reload custom script bodies (No ui updates, No restart)": "カスタムスクリプトを再読み込み (UIは変更されず、再起動もしません。)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradioを再起動してコンポーネントをリフレッシュする (Custom Scripts, ui.py, js, cssのみ影響を受ける)",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "ネガティブ プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Add a random artist to the prompt.": "Add a random artist to the prompt.",
     "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
-    "Save style": "Save style",
-    "Apply selected styles to current prompt": "Apply selected styles to current prompt",
+    "Save style": "スタイルを保存する",
+    "Apply selected styles to current prompt": "現在のプロンプトに選択したスタイルを適用する",
     "Stop processing current image and continue processing.": "Stop processing current image and continue processing.",
     "Stop processing images and return any results accumulated so far.": "Stop processing images and return any results accumulated so far.",
     "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
@@ -379,8 +379,8 @@
     "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
     "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
     "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
-    "Separate values for X axis using commas.": "Separate values for X axis using commas.",
-    "Separate values for Y axis using commas.": "Separate values for Y axis using commas.",
+    "Separate values for X axis using commas.": "X軸に用いる値をカンマ(,)で区切って入力してください。",
+    "Separate values for Y axis using commas.": "Y軸に用いる値をカンマ(,)で区切って入力してください。",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
     "Open images output directory": "画像の出力フォルダを開く",
     "How much to blur the mask before processing, in pixels.": "How much to blur the mask before processing, in pixels.",

From f613c6b8c532dbcfb3570cdbb3ce56a0d2821d0b Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 23:01:41 +0900
Subject: [PATCH 059/321] improve ja translation

---
 localizations/ja_JP.json | 66 ++++++++++++++++++++--------------------
 1 file changed, 33 insertions(+), 33 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index fc958656..a9f6cb20 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -163,7 +163,7 @@
     "down": "下",
     "Fall-off exponent (lower=higher detail)": "Fall-off exponent (lower=higher detail)",
     "Color variation": "Color variation",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Will upscale the image to twice the dimensions; use width and height sliders to set tile size",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "画像を2倍の大きさにアップスケールします。幅と高さのスライダーでタイルの大きさを設定します。",
     "Tile overlap": "Tile overlap",
     "Upscaler": "アップスケーラー",
     "Lanczos": "Lanczos",
@@ -210,10 +210,10 @@
     "Secondary model (B)": "2つめのmodel (B)",
     "Tertiary model (C)": "3つめのmodel (C)",
     "Custom Name (Optional)": "Custom Name (任意)",
-    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) 0にすると完全にmodel Aとなります",
-    "Interpolation Method": "Interpolation Method",
-    "Weighted sum": "Weighted sum",
-    "Add difference": "Add difference",
+    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) 0にすると完全にmodel Aとなります (ツールチップ参照)",
+    "Interpolation Method": "混合(Interpolation)方式",
+    "Weighted sum": "加重平均",
+    "Add difference": "差を加える",
     "Save as float16": "float16で保存",
     "See": "詳細な説明については",
     "wiki": "wiki",
@@ -289,7 +289,7 @@
     "Upscale latent space image when doing hires. fix": "高解像度 fix時に潜在空間(latent space)の画像をアップスケールする",
     "Face restoration": "顔修復",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormerの重みパラメーター;0が最大で1が最小",
-    "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
+    "Move face restoration model from VRAM into RAM after processing": "処理終了後、顔修復モデルをVRAMからRAMへと移動する",
     "System": "システム設定",
     "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
     "Always print all generation info to standard output": "常にすべての生成に関する情報を標準出力(stdout)に出力する",
@@ -301,9 +301,9 @@
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
     "Stable Diffusion": "Stable Diffusion",
-    "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+    "Checkpoints to cache in RAM": "RAMにキャッシュするCheckpoint数",
     "Hypernetwork strength": "Hypernetwork strength",
-    "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
+    "Apply color correction to img2img results to match original colors.": "元画像に合わせてimg2imgの結果を色補正する",
     "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
@@ -325,24 +325,24 @@
     "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
     "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
-    "User interface": "User interface",
-    "Show progressbar": "Show progressbar",
-    "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
-    "Show grid in results for web": "Show grid in results for web",
-    "Do not show any images in results for web": "Do not show any images in results for web",
-    "Add model hash to generation information": "Add model hash to generation information",
-    "Add model name to generation information": "Add model name to generation information",
-    "Font for image grids that have text": "Font for image grids that have text",
-    "Enable full page image viewer": "Enable full page image viewer",
-    "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
-    "Show generation progress in window title.": "Show generation progress in window title.",
+    "User interface": "UI設定",
+    "Show progressbar": "プログレスバーを表示",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "指定したステップ数ごとに画像の生成過程を表示する。0で無効化。",
+    "Show grid in results for web": "WebUI上でグリッド表示",
+    "Do not show any images in results for web": "WebUI上で一切画像を表示しない",
+    "Add model hash to generation information": "モデルのハッシュ値を生成情報に追加",
+    "Add model name to generation information": "モデルの名称を生成情報に追加",
+    "Font for image grids that have text": "画像グリッド内のテキストフォント",
+    "Enable full page image viewer": "フルページの画像ビューワーを有効化",
+    "Show images zoomed in by default in full page image viewer": "フルページ画像ビューアでデフォルトで画像を拡大して表示する",
+    "Show generation progress in window title.": "ウィンドウのタイトルで生成の進捗を表示",
     "Quicksettings list": "Quicksettings list",
     "Localization (requires restart)": "言語 (プログラムの再起動が必要)",
     "ja_JP": "ja_JP",
     "Sampler parameters": "サンプラー parameters",
-    "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
-    "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
-    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+    "Hide samplers in user interface (requires restart)": "使わないサンプリングアルゴリズムを隠す (再起動が必要)",
+    "eta (noise multiplier) for DDIM": "DDIMで用いるeta (noise multiplier)",
+    "eta (noise multiplier) for ancestral samplers": "ancestral サンプラーで用いるeta (noise multiplier)",
     "img2img DDIM discretize": "img2img DDIM discretize",
     "uniform": "uniform",
     "quad": "quad",
@@ -356,17 +356,17 @@
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradioを再起動してコンポーネントをリフレッシュする (Custom Scripts, ui.py, js, cssのみ影響を受ける)",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "ネガティブ プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
-    "Add a random artist to the prompt.": "Add a random artist to the prompt.",
+    "Add a random artist to the prompt.": "芸術家などの名称をプロンプトに追加",
     "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
     "Save style": "スタイルを保存する",
     "Apply selected styles to current prompt": "現在のプロンプトに選択したスタイルを適用する",
-    "Stop processing current image and continue processing.": "Stop processing current image and continue processing.",
-    "Stop processing images and return any results accumulated so far.": "Stop processing images and return any results accumulated so far.",
+    "Stop processing current image and continue processing.": "現在の処理を中断し、その後の処理は続ける",
+    "Stop processing images and return any results accumulated so far.": "処理を中断し、それまでに出来た結果を表示する",
     "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
-    "Do not do anything special": "Do not do anything special",
-    "Which algorithm to use to produce the image": "Which algorithm to use to produce the image",
-    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help",
-    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - best at inpainting",
+    "Do not do anything special": "特別なことをなにもしない",
+    "Which algorithm to use to produce the image": "どのアルゴリズムを使って生成するか",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常に独創的で、ステップ数によって全く異なる画像が得られる、ステップ数を30～40より高く設定しても効果がない。",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 描き直しには最適",
     "Produce an image that can be tiled.": "Produce an image that can be tiled.",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "2ステップで、まず部分的に小さい解像度で画像を作成し、その後アップスケールすることで、構図を変えずにディテールが改善されます。",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
@@ -397,15 +397,15 @@
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.",
     "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
-    "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
-    "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
-    "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+    "Leave blank to save images to the default path.": "空欄でデフォルトの場所へ画像を保存",
+    "Result = A * (1 - M) + B * M": "結果モデル = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "結果モデル = A + (B - C) * M",
     "Path to directory with input images": "Path to directory with input images",
     "Path to directory where to write outputs": "Path to directory where to write outputs",
     "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
     "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "このオプションを有効にすると、作成された画像にウォーターマークが追加されなくなります。警告:ウォーターマークを追加しない場合、非倫理的な行動とみなされる場合があります。",
     "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "Restore low quality faces using GFPGAN neural network": "Restore low quality faces using GFPGAN neural network",
+    "Restore low quality faces using GFPGAN neural network": "GFPGANを用いて低クオリティーの画像を修復",
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
     "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
     "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",

From 774be6d2f271415a82d9a83147e8ee8bbad018d0 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Tue, 18 Oct 2022 23:29:34 +0900
Subject: [PATCH 060/321] improve ja translation

---
 localizations/ja_JP.json | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index a9f6cb20..514b579e 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -76,7 +76,7 @@
     "Show Textbox": "Show Textbox",
     "File with inputs": "File with inputs",
     "Prompts": "プロンプト",
-    "X type": "X type",
+    "X type": "X軸の種類",
     "Nothing": "なし",
     "Var. seed": "Var. seed",
     "Var. strength": "Var. 強度",
@@ -94,12 +94,12 @@
     "Eta": "Eta",
     "Clip skip": "Clip skip",
     "Denoising": "Denoising",
-    "X values": "X values",
-    "Y type": "Y type",
-    "Y values": "Y values",
-    "Draw legend": "Draw legend",
+    "X values": "Xの値",
+    "Y type": "Y軸の種類",
+    "Y values": "Yの値",
+    "Draw legend": "凡例を描画",
     "Include Separate Images": "Include Separate Images",
-    "Keep -1 for seeds": "Keep -1 for seeds",
+    "Keep -1 for seeds": "シード値を-1で固定",
     "ここに画像をドロップ": "ここに画像をドロップ",
     "Save": "保存",
     "Send to img2img": "img2imgに送る",
@@ -295,7 +295,7 @@
     "Always print all generation info to standard output": "常にすべての生成に関する情報を標準出力(stdout)に出力する",
     "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
     "Training": "学習",
-    "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
+    "Unload VAE and CLIP from VRAM when training": "学習を行う際、VAEとCLIPをVRAMから削除する",
     "Filename word regex": "Filename word regex",
     "Filename join string": "Filename join string",
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
@@ -304,14 +304,14 @@
     "Checkpoints to cache in RAM": "RAMにキャッシュするCheckpoint数",
     "Hypernetwork strength": "Hypernetwork strength",
     "Apply color correction to img2img results to match original colors.": "元画像に合わせてimg2imgの結果を色補正する",
-    "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+    "Save a copy of image before applying color correction to img2img results": "色補正をする前の画像も保存する",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "img2imgでスライダーで指定されたステップ数を正確に実行する（通常は、ノイズ除去を少なくするためにより少ないステップ数で実行します）。",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "強調: (text)とするとモデルはtextをより強く扱い、[text]とするとモデルはtextをより弱く扱います。",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "古い強調の実装を使う。古い生成物を再現するのに使えます。",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
-    "Filter NSFW content": "Filter NSFW content",
+    "Filter NSFW content": "NSFW(≒R-18)なコンテンツを検閲する",
     "Stop At last layers of CLIP model": "最後から何層目でCLIPを止めるか(stop…layers of CLIP model)",
     "Interrogate Options": "Interrogate 設定",
     "Interrogate: keep models in VRAM": "Interrogate: モデルをVRAMに保持する",
@@ -321,10 +321,10 @@
     "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
     "Interrogate: maximum description length": "Interrogate: maximum description length",
     "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
-    "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
-    "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
-    "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
-    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+    "Interrogate: deepbooru score threshold": "Interrogate: deepbooruで拾う単語のスコア閾値",
+    "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooruで単語をアルファベット順に並べる",
+    "use spaces for tags in deepbooru": "deepbooruのタグでスペースを使う",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooruで括弧をエスケープする(\\) (強調を示す()ではなく、文字通りの()であることをモデルに示すため)",
     "User interface": "UI設定",
     "Show progressbar": "プログレスバーを表示",
     "Show image creation progress every N sampling steps. Set 0 to disable.": "指定したステップ数ごとに画像の生成過程を表示する。0で無効化。",

From 324c7c732dd9afc3d4c397c354797ae5d655b514 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 20:09:37 +0300
Subject: [PATCH 061/321] record First pass size as 0x0 for #3328

---
 modules/processing.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 372489f7..27c669b0 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -524,6 +524,8 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
             else:
                 state.job_count = state.job_count * 2
 
+            self.extra_generation_params["First pass size"] = f"{self.firstphase_width}x{self.firstphase_height}"
+
             if self.firstphase_width == 0 or self.firstphase_height == 0:
                 desired_pixel_count = 512 * 512
                 actual_pixel_count = self.width * self.height
@@ -545,7 +547,6 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
                     firstphase_width_truncated = self.firstphase_height * self.width / self.height
                     firstphase_height_truncated = self.firstphase_height
 
-            self.extra_generation_params["First pass size"] = f"{self.firstphase_width}x{self.firstphase_height}"
             self.truncate_x = int(self.firstphase_width - firstphase_width_truncated) // opt_f
             self.truncate_y = int(self.firstphase_height - firstphase_height_truncated) // opt_f
 

From 0df94d3fcf9d1fc47c4d39039352a3d5b3380c1f Mon Sep 17 00:00:00 2001
From: MrCheeze <fishycheeze@yahoo.ca>
Date: Sat, 22 Oct 2022 12:59:21 -0400
Subject: [PATCH 062/321] fix aesthetic gradients doing nothing after loading a
 different model

---
 modules/sd_models.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index f9b3063d..49dc3238 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -236,12 +236,11 @@ def load_model(checkpoint_info=None):
         sd_model.to(shared.device)
 
     sd_hijack.model_hijack.hijack(sd_model)
+    script_callbacks.model_loaded_callback(sd_model)
 
     sd_model.eval()
     shared.sd_model = sd_model
 
-    script_callbacks.model_loaded_callback(sd_model)
-
     print(f"Model loaded.")
     return sd_model
 
@@ -268,6 +267,7 @@ def reload_model_weights(sd_model, info=None):
     load_model_weights(sd_model, checkpoint_info)
 
     sd_hijack.model_hijack.hijack(sd_model)
+    script_callbacks.model_loaded_callback(sd_model)
 
     if not shared.cmd_opts.lowvram and not shared.cmd_opts.medvram:
         sd_model.to(devices.device)

From 321bacc6a9eaf4a25f31279f288fa752be507a20 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 20:15:12 +0300
Subject: [PATCH 063/321] call model_loaded_callback after setting
 shared.sd_model in case scripts refer to it using that

---
 modules/sd_models.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 49dc3238..e697bb72 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -236,11 +236,12 @@ def load_model(checkpoint_info=None):
         sd_model.to(shared.device)
 
     sd_hijack.model_hijack.hijack(sd_model)
-    script_callbacks.model_loaded_callback(sd_model)
 
     sd_model.eval()
     shared.sd_model = sd_model
 
+    script_callbacks.model_loaded_callback(sd_model)
+
     print(f"Model loaded.")
     return sd_model
 

From 24694e5983d0944b901892cb101878e6dec89a20 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 01:57:58 +0900
Subject: [PATCH 064/321] Update hypernetwork.py

---
 modules/hypernetworks/hypernetwork.py | 55 +++++++++++++++++++++------
 1 file changed, 44 insertions(+), 11 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 3bc71ee5..81132be4 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -16,6 +16,7 @@ from modules.textual_inversion import textual_inversion
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 from torch import einsum
 
+from statistics import stdev, mean
 
 class HypernetworkModule(torch.nn.Module):
     multiplier = 1.0
@@ -268,6 +269,32 @@ def stack_conds(conds):
     return torch.stack(conds)
 
 
+def log_statistics(loss_info:dict, key, value):
+    if key not in loss_info:
+        loss_info[key] = [value]
+    else:
+        loss_info[key].append(value)
+        if len(loss_info) > 1024:
+            loss_info.pop(0)
+
+
+def statistics(data):
+    total_information = f"loss:{mean(data):.3f}"+u"\u00B1"+f"({stdev(data)/ (len(data)**0.5):.3f})"
+    recent_data = data[-32:]
+    recent_information = f"recent 32 loss:{mean(recent_data):.3f}"+u"\u00B1"+f"({stdev(recent_data)/ (len(recent_data)**0.5):.3f})"
+    return total_information, recent_information
+
+
+def report_statistics(loss_info:dict):
+    keys = sorted(loss_info.keys(), key=lambda x: sum(loss_info[x]) / len(loss_info[x]))
+    for key in keys:
+        info, recent = statistics(loss_info[key])
+        print("Loss statistics for file " + key)
+        print(info)
+        print(recent)
+
+
+
 def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_hypernetwork_every, template_file, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
     # images allows training previews to have infotext. Importing it at the top causes a circular import problem.
     from modules import images
@@ -310,7 +337,11 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     for weight in weights:
         weight.requires_grad = True
 
-    losses = torch.zeros((32,))
+    size = len(ds.indexes)
+    loss_dict = {}
+    losses = torch.zeros((size,))
+    previous_mean_loss = 0
+    print("Mean loss of {} elements".format(size))
 
     last_saved_file = "<none>"
     last_saved_image = "<none>"
@@ -329,7 +360,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
-
+        if loss_dict and i % size == 0:
+            previous_mean_loss = sum(i[-1] for i in loss_dict.values()) / len(loss_dict)
+            
         scheduler.apply(optimizer, hypernetwork.step)
         if scheduler.finished:
             break
@@ -346,7 +379,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
             del c
 
             losses[hypernetwork.step % losses.shape[0]] = loss.item()
-
+            for entry in entries:
+                log_statistics(loss_dict, entry.filename, loss.item())
+                
             optimizer.zero_grad()
             weights[0].grad = None
             loss.backward()
@@ -359,10 +394,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             optimizer.step()
 
-        mean_loss = losses.mean()
-        if torch.isnan(mean_loss):
+        if torch.isnan(losses[hypernetwork.step % losses.shape[0]]):
             raise RuntimeError("Loss diverged.")
-        pbar.set_description(f"loss: {mean_loss:.7f}")
+        pbar.set_description(f"dataset loss: {previous_mean_loss:.7f}")
 
         if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
             # Before saving, change name to match current checkpoint.
@@ -371,7 +405,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
             hypernetwork.save(last_saved_file)
 
         textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
-            "loss": f"{mean_loss:.7f}",
+            "loss": f"{previous_mean_loss:.7f}",
             "learn_rate": scheduler.learn_rate
         })
 
@@ -420,14 +454,15 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
         shared.state.textinfo = f"""
 <p>
-Loss: {mean_loss:.7f}<br/>
+Loss: {previous_mean_loss:.7f}<br/>
 Step: {hypernetwork.step}<br/>
 Last prompt: {html.escape(entries[0].cond_text)}<br/>
 Last saved hypernetwork: {html.escape(last_saved_file)}<br/>
 Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
-
+        
+    report_statistics(loss_dict)
     checkpoint = sd_models.select_checkpoint()
 
     hypernetwork.sd_checkpoint = checkpoint.hash
@@ -438,5 +473,3 @@ Last saved image: {html.escape(last_saved_image)}<br/>
     hypernetwork.save(filename)
 
     return hypernetwork, filename
-
-

From 4fdb53c1e9962507fc8336dad9a0fabfe6c418c0 Mon Sep 17 00:00:00 2001
From: Unnoen <Unnoen@users.noreply.github.com>
Date: Wed, 19 Oct 2022 21:38:10 +1100
Subject: [PATCH 065/321] Generate grid preview for progress image

---
 modules/sd_samplers.py | 26 +++++++++++++++++++++++++-
 modules/shared.py      |  1 +
 modules/ui.py          |  5 ++++-
 3 files changed, 30 insertions(+), 2 deletions(-)

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index f58a29b9..74a480e5 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -7,7 +7,7 @@ import inspect
 import k_diffusion.sampling
 import ldm.models.diffusion.ddim
 import ldm.models.diffusion.plms
-from modules import prompt_parser, devices, processing
+from modules import prompt_parser, devices, processing, images
 
 from modules.shared import opts, cmd_opts, state
 import modules.shared as shared
@@ -89,6 +89,30 @@ def sample_to_image(samples):
     x_sample = x_sample.astype(np.uint8)
     return Image.fromarray(x_sample)
 
+def samples_to_image_grid(samples):
+    progress_images = []
+    for i in range(len(samples)):
+        # Decode the samples individually to reduce VRAM usage at the cost of a bit of speed.
+        x_sample = processing.decode_first_stage(shared.sd_model, samples[i:i+1])[0]
+        x_sample = torch.clamp((x_sample + 1.0) / 2.0, min=0.0, max=1.0)
+        x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
+        x_sample = x_sample.astype(np.uint8)
+        progress_images.append(Image.fromarray(x_sample))
+
+    return images.image_grid(progress_images)
+
+def samples_to_image_grid_combined(samples):
+    progress_images = []
+    # Decode all samples at once to increase speed at the cost of VRAM usage.
+    x_samples = processing.decode_first_stage(shared.sd_model, samples)
+    x_samples = torch.clamp((x_samples + 1.0) / 2.0, min=0.0, max=1.0)
+
+    for x_sample in x_samples:
+        x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
+        x_sample = x_sample.astype(np.uint8)
+        progress_images.append(Image.fromarray(x_sample))
+
+    return images.image_grid(progress_images)
 
 def store_latent(decoded):
     state.current_latent = decoded
diff --git a/modules/shared.py b/modules/shared.py
index d9cb65ef..95d6e225 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -294,6 +294,7 @@ options_templates.update(options_section(('interrogate', "Interrogate Options"),
 options_templates.update(options_section(('ui', "User interface"), {
     "show_progressbar": OptionInfo(True, "Show progressbar"),
     "show_progress_every_n_steps": OptionInfo(0, "Show image creation progress every N sampling steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
+    "progress_decode_combined": OptionInfo(False, "Decode all progress images at once. (Slighty speeds up progress generation but consumes significantly more VRAM with large batches.)"),
     "return_grid": OptionInfo(True, "Show grid in results for web"),
     "do_not_show_images": OptionInfo(False, "Do not show any images in results for web"),
     "add_model_hash_to_info": OptionInfo(True, "Add model hash to generation information"),
diff --git a/modules/ui.py b/modules/ui.py
index 56c233ab..de0abc7e 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -318,7 +318,10 @@ def check_progress_call(id_part):
         if shared.parallel_processing_allowed:
 
             if shared.state.sampling_step - shared.state.current_image_sampling_step >= opts.show_progress_every_n_steps and shared.state.current_latent is not None:
-                shared.state.current_image = modules.sd_samplers.sample_to_image(shared.state.current_latent)
+                if opts.progress_decode_combined:
+                    shared.state.current_image = modules.sd_samplers.samples_to_image_grid_combined(shared.state.current_latent)
+                else:
+                    shared.state.current_image = modules.sd_samplers.samples_to_image_grid(shared.state.current_latent)
                 shared.state.current_image_sampling_step = shared.state.sampling_step
 
         image = shared.state.current_image

From d213d6ca6f90094cb45c11e2f3cb37d25a8d1f94 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 20:48:13 +0300
Subject: [PATCH 066/321] removed the option to use 2x more memory when
 generating previews added an option to always only show one image in previews
 removed duplicate code

---
 modules/sd_samplers.py | 33 +++++++++------------------------
 modules/shared.py      |  2 +-
 modules/ui.py          |  6 +++---
 3 files changed, 13 insertions(+), 28 deletions(-)

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 74a480e5..0b408a70 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -71,6 +71,7 @@ sampler_extra_params = {
     'sample_dpm_2': ['s_churn', 's_tmin', 's_tmax', 's_noise'],
 }
 
+
 def setup_img2img_steps(p, steps=None):
     if opts.img2img_fix_steps or steps is not None:
         steps = int((steps or p.steps) / min(p.denoising_strength, 0.999)) if p.denoising_strength > 0 else 0
@@ -82,37 +83,21 @@ def setup_img2img_steps(p, steps=None):
     return steps, t_enc
 
 
-def sample_to_image(samples):
-    x_sample = processing.decode_first_stage(shared.sd_model, samples[0:1])[0]
+def single_sample_to_image(sample):
+    x_sample = processing.decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0]
     x_sample = torch.clamp((x_sample + 1.0) / 2.0, min=0.0, max=1.0)
     x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
     x_sample = x_sample.astype(np.uint8)
     return Image.fromarray(x_sample)
 
+
+def sample_to_image(samples):
+    return single_sample_to_image(samples[0])
+
+
 def samples_to_image_grid(samples):
-    progress_images = []
-    for i in range(len(samples)):
-        # Decode the samples individually to reduce VRAM usage at the cost of a bit of speed.
-        x_sample = processing.decode_first_stage(shared.sd_model, samples[i:i+1])[0]
-        x_sample = torch.clamp((x_sample + 1.0) / 2.0, min=0.0, max=1.0)
-        x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
-        x_sample = x_sample.astype(np.uint8)
-        progress_images.append(Image.fromarray(x_sample))
+    return images.image_grid([single_sample_to_image(sample) for sample in samples])
 
-    return images.image_grid(progress_images)
-
-def samples_to_image_grid_combined(samples):
-    progress_images = []
-    # Decode all samples at once to increase speed at the cost of VRAM usage.
-    x_samples = processing.decode_first_stage(shared.sd_model, samples)
-    x_samples = torch.clamp((x_samples + 1.0) / 2.0, min=0.0, max=1.0)
-
-    for x_sample in x_samples:
-        x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
-        x_sample = x_sample.astype(np.uint8)
-        progress_images.append(Image.fromarray(x_sample))
-
-    return images.image_grid(progress_images)
 
 def store_latent(decoded):
     state.current_latent = decoded
diff --git a/modules/shared.py b/modules/shared.py
index 95d6e225..25bfc895 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -294,7 +294,7 @@ options_templates.update(options_section(('interrogate', "Interrogate Options"),
 options_templates.update(options_section(('ui', "User interface"), {
     "show_progressbar": OptionInfo(True, "Show progressbar"),
     "show_progress_every_n_steps": OptionInfo(0, "Show image creation progress every N sampling steps. Set 0 to disable.", gr.Slider, {"minimum": 0, "maximum": 32, "step": 1}),
-    "progress_decode_combined": OptionInfo(False, "Decode all progress images at once. (Slighty speeds up progress generation but consumes significantly more VRAM with large batches.)"),
+    "show_progress_grid": OptionInfo(True, "Show previews of all images generated in a batch as a grid"),
     "return_grid": OptionInfo(True, "Show grid in results for web"),
     "do_not_show_images": OptionInfo(False, "Do not show any images in results for web"),
     "add_model_hash_to_info": OptionInfo(True, "Add model hash to generation information"),
diff --git a/modules/ui.py b/modules/ui.py
index de0abc7e..ffa14cac 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -318,10 +318,10 @@ def check_progress_call(id_part):
         if shared.parallel_processing_allowed:
 
             if shared.state.sampling_step - shared.state.current_image_sampling_step >= opts.show_progress_every_n_steps and shared.state.current_latent is not None:
-                if opts.progress_decode_combined:
-                    shared.state.current_image = modules.sd_samplers.samples_to_image_grid_combined(shared.state.current_latent)
-                else:
+                if opts.show_progress_grid:
                     shared.state.current_image = modules.sd_samplers.samples_to_image_grid(shared.state.current_latent)
+                else:
+                    shared.state.current_image = modules.sd_samplers.sample_to_image(shared.state.current_latent)
                 shared.state.current_image_sampling_step = shared.state.sampling_step
 
         image = shared.state.current_image

From be748e8b086bd9834d08bdd9160649a5e7700af7 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 22:05:22 +0300
Subject: [PATCH 067/321] add --freeze-settings commandline argument to disable
 changing settings

---
 modules/shared.py |  1 +
 modules/ui.py     | 11 +++++++++--
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/modules/shared.py b/modules/shared.py
index 25bfc895..b55371d3 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -64,6 +64,7 @@ parser.add_argument("--port", type=int, help="launch gradio with given server po
 parser.add_argument("--show-negative-prompt", action='store_true', help="does not do anything", default=False)
 parser.add_argument("--ui-config-file", type=str, help="filename to use for ui configuration", default=os.path.join(script_path, 'ui-config.json'))
 parser.add_argument("--hide-ui-dir-config", action='store_true', help="hide directory configuration from webui", default=False)
+parser.add_argument("--freeze-settings", action='store_true', help="disable editing settings", default=False)
 parser.add_argument("--ui-settings-file", type=str, help="filename to use for ui settings", default=os.path.join(script_path, 'config.json'))
 parser.add_argument("--gradio-debug",  action='store_true', help="launch gradio with --debug option")
 parser.add_argument("--gradio-auth", type=str, help='set gradio authentication like "username:password"; or comma-delimit multiple like "u1:p1,u2:p2,u3:p3"', default=None)
diff --git a/modules/ui.py b/modules/ui.py
index ffa14cac..2311572c 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -580,6 +580,9 @@ def apply_setting(key, value):
     if value is None:
         return gr.update()
 
+    if shared.cmd_opts.freeze_settings:
+        return gr.update()
+
     # dont allow model to be swapped when model hash exists in prompt
     if key == "sd_model_checkpoint" and opts.disable_weights_auto_swap:
         return gr.update()
@@ -1501,6 +1504,8 @@ Requested path was: {f}
     def run_settings(*args):
         changed = 0
 
+        assert not shared.cmd_opts.freeze_settings, "changing settings is disabled"
+
         for key, value, comp in zip(opts.data_labels.keys(), args, components):
             if comp != dummy_component and not opts.same_type(value, opts.data_labels[key].default):
                 return f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}", opts.dumpjson()
@@ -1530,6 +1535,8 @@ Requested path was: {f}
         return f'{changed} settings changed.', opts.dumpjson()
 
     def run_settings_single(value, key):
+        assert not shared.cmd_opts.freeze_settings, "changing settings is disabled"
+
         if not opts.same_type(value, opts.data_labels[key].default):
             return gr.update(visible=True), opts.dumpjson()
 
@@ -1582,7 +1589,7 @@ Requested path was: {f}
                     elem_id, text = item.section
                     gr.HTML(elem_id="settings_header_text_{}".format(elem_id), value='<h1 class="gr-button-lg">{}</h1>'.format(text))
 
-                if k in quicksettings_names:
+                if k in quicksettings_names and not shared.cmd_opts.freeze_settings:
                     quicksettings_list.append((i, k, item))
                     components.append(dummy_component)
                 else:
@@ -1615,7 +1622,7 @@ Requested path was: {f}
 
         def reload_scripts():
             modules.scripts.reload_script_body_only()
-            reload_javascript() # need to refresh the html page
+            reload_javascript()  # need to refresh the html page
 
         reload_script_bodies.click(
             fn=reload_scripts,

From ca5a9e79dc28eeaa3a161427a82e34703bf15765 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 22 Oct 2022 22:06:54 +0300
Subject: [PATCH 068/321] fix for img2img color correction in a batch #3218

---
 modules/processing.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 27c669b0..b1877b80 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -403,8 +403,6 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
             if (len(prompts) == 0):
                 break
 
-            #uc = p.sd_model.get_learned_conditioning(len(prompts) * [p.negative_prompt])
-            #c = p.sd_model.get_learned_conditioning(prompts)
             with devices.autocast():
                 uc = prompt_parser.get_learned_conditioning(shared.sd_model, len(prompts) * [p.negative_prompt], p.steps)
                 c = prompt_parser.get_multicond_learned_conditioning(shared.sd_model, prompts, p.steps)
@@ -716,6 +714,10 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             batch_images = np.expand_dims(imgs[0], axis=0).repeat(self.batch_size, axis=0)
             if self.overlay_images is not None:
                 self.overlay_images = self.overlay_images * self.batch_size
+
+            if self.color_corrections is not None and len(self.color_corrections) == 1:
+                self.color_corrections = self.color_corrections * self.batch_size
+
         elif len(imgs) <= self.batch_size:
             self.batch_size = len(imgs)
             batch_images = np.array(imgs)

From 48dbf99e84045ee7af55bc5b1b86492a240e631e Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 04:17:16 +0900
Subject: [PATCH 069/321] Allow tracking real-time loss

Someone had 6000 images in their dataset, and it was shown as 0, which was confusing.
This will allow tracking real time dataset-average loss for registered objects.
---
 modules/hypernetworks/hypernetwork.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 81132be4..99fd0f8f 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -360,7 +360,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
-        if loss_dict and i % size == 0:
+        if len(loss_dict) > 0:
             previous_mean_loss = sum(i[-1] for i in loss_dict.values()) / len(loss_dict)
             
         scheduler.apply(optimizer, hypernetwork.step)

From 1b4d04737ac513cbd55958bb60a4f85166f3484b Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sat, 22 Oct 2022 20:13:16 -0300
Subject: [PATCH 070/321] Remove unused imports

---
 modules/api/api.py | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 5b0c934e..a5136b4b 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,11 +1,9 @@
 from modules.api.processing import StableDiffusionProcessingAPI
 from modules.processing import StableDiffusionProcessingTxt2Img, process_images
 from modules.sd_samplers import all_samplers
-from modules.extras import run_pnginfo
 import modules.shared as shared
 import uvicorn
-from fastapi import Body, APIRouter, HTTPException
-from fastapi.responses import JSONResponse
+from fastapi import APIRouter, HTTPException
 from pydantic import BaseModel, Field, Json
 import json
 import io
@@ -18,7 +16,6 @@ class TextToImageResponse(BaseModel):
     parameters: Json
     info: Json
 
-
 class Api:
     def __init__(self, app, queue_lock):
         self.router = APIRouter()

From b02926df1393df311db734af149fb9faf4389cbe Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sat, 22 Oct 2022 20:24:04 -0300
Subject: [PATCH 071/321] Moved moodels to their own file and extracted base64
 conversion to its own function

---
 modules/api/api.py    | 17 ++++++-----------
 modules/api/models.py |  8 ++++++++
 2 files changed, 14 insertions(+), 11 deletions(-)
 create mode 100644 modules/api/models.py

diff --git a/modules/api/api.py b/modules/api/api.py
index a5136b4b..c17d7580 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -4,17 +4,17 @@ from modules.sd_samplers import all_samplers
 import modules.shared as shared
 import uvicorn
 from fastapi import APIRouter, HTTPException
-from pydantic import BaseModel, Field, Json
 import json
 import io
 import base64
+from modules.api.models import *
 
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
-class TextToImageResponse(BaseModel):
-    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-    parameters: Json
-    info: Json
+def img_to_base64(img):
+    buffer = io.BytesIO()
+    img.save(buffer, format="png")
+    return base64.b64encode(buffer.getvalue())
 
 class Api:
     def __init__(self, app, queue_lock):
@@ -41,15 +41,10 @@ class Api:
         with self.queue_lock:
             processed = process_images(p)
         
-        b64images = []
-        for i in processed.images:
-            buffer = io.BytesIO()
-            i.save(buffer, format="png")
-            b64images.append(base64.b64encode(buffer.getvalue()))
+        b64images = list(map(img_to_base64, processed.images))
 
         return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
         
-        
 
     def img2imgapi(self):
         raise NotImplementedError
diff --git a/modules/api/models.py b/modules/api/models.py
new file mode 100644
index 00000000..a7d247d8
--- /dev/null
+++ b/modules/api/models.py
@@ -0,0 +1,8 @@
+from pydantic import BaseModel, Field, Json
+
+class TextToImageResponse(BaseModel):
+    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
+    parameters: Json
+    info: Json
+
+    
\ No newline at end of file

From 28e26c2bef217ae82eb9e980cceb3f67ef22e109 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sat, 22 Oct 2022 23:13:32 -0300
Subject: [PATCH 072/321] Add "extra" single image operation

 - Separate extra modes into 3 endpoints so the user ddoesn't ahve to
handle so many unused parameters.
 - Add response model for codumentation
---
 modules/api/api.py    | 43 ++++++++++++++++++++++++++++++++++++++-----
 modules/api/models.py | 26 +++++++++++++++++++++++++-
 2 files changed, 63 insertions(+), 6 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index c17d7580..3b804373 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -8,20 +8,42 @@ import json
 import io
 import base64
 from modules.api.models import *
+from PIL import Image
+from modules.extras import run_extras
+
+def upscaler_to_index(name: str):
+    try:
+        return [x.name.lower() for x in shared.sd_upscalers].index(name.lower())
+    except:
+        raise HTTPException(status_code=400, detail="Upscaler not found")
 
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
-def img_to_base64(img):
+def img_to_base64(img: str):
     buffer = io.BytesIO()
     img.save(buffer, format="png")
     return base64.b64encode(buffer.getvalue())
 
+def base64_to_bytes(base64Img: str):
+    if "," in base64Img:
+        base64Img = base64Img.split(",")[1]
+    return io.BytesIO(base64.b64decode(base64Img))
+
+def base64_to_images(base64Imgs: list[str]):
+    imgs = []
+    for img in base64Imgs:
+        img = Image.open(base64_to_bytes(img))
+        imgs.append(img)
+    return imgs
+
+
 class Api:
     def __init__(self, app, queue_lock):
         self.router = APIRouter()
         self.app = app
         self.queue_lock = queue_lock
-        self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
+        self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"], response_model=TextToImageResponse)
+        self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -45,12 +67,23 @@ class Api:
 
         return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
         
-
     def img2imgapi(self):
         raise NotImplementedError
 
-    def extrasapi(self):
-        raise NotImplementedError
+    def extras_single_image_api(self, req: ExtrasSingleImageRequest):
+        upscaler1Index = upscaler_to_index(req.upscaler_1)
+        upscaler2Index = upscaler_to_index(req.upscaler_2)
+
+        reqDict = vars(req)
+        reqDict.pop('upscaler_1')
+        reqDict.pop('upscaler_2')
+
+        reqDict['image'] = base64_to_images([reqDict['image']])[0]
+
+        with self.queue_lock:
+            result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=0, image_folder="", input_dir="", output_dir="")
+
+        return ExtrasSingleImageResponse(image="data:image/png;base64,"+img_to_base64(result[0]), html_info_x=result[1], html_info=result[2])
 
     def pnginfoapi(self):
         raise NotImplementedError
diff --git a/modules/api/models.py b/modules/api/models.py
index a7d247d8..dcf1ab54 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -1,8 +1,32 @@
 from pydantic import BaseModel, Field, Json
+from typing_extensions import Literal
+from modules.shared import sd_upscalers
 
 class TextToImageResponse(BaseModel):
     images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
     parameters: Json
     info: Json
 
-    
\ No newline at end of file
+class ExtrasBaseRequest(BaseModel):
+    resize_mode: Literal[0, 1] = Field(default=0, title="Resize Mode", description="Sets the resize mode: 0 to upscale by upscaling_resize amount, 1 to upscale up to upscaling_resize_h x upscaling_resize_w.")
+    show_extras_results: bool = Field(default=True, title="Show results", description="Should the backend return the generated image?")
+    gfpgan_visibility: float = Field(default=0, title="GFPGAN Visibility", ge=0, le=1, allow_inf_nan=False, description="Sets the visibility of GFPGAN, values should be between 0 and 1.")
+    codeformer_visibility: float = Field(default=0, title="CodeFormer Visibility", ge=0, le=1, allow_inf_nan=False, description="Sets the visibility of CodeFormer, values should be between 0 and 1.")
+    codeformer_weight: float = Field(default=0, title="CodeFormer Weight", ge=0, le=1, allow_inf_nan=False, description="Sets the weight of CodeFormer, values should be between 0 and 1.")
+    upscaling_resize: float = Field(default=2, title="Upscaling Factor", ge=1, le=4, description="By how much to upscale the image, only used when resize_mode=0.")
+    upscaling_resize_w: int = Field(default=512, title="Target Width", ge=1, description="Target width for the upscaler to hit. Only used when resize_mode=1.")
+    upscaling_resize_h: int = Field(default=512, title="Target Height", ge=1, description="Target height for the upscaler to hit. Only used when resize_mode=1.")
+    upscaling_crop: bool = Field(default=True, title="Crop to fit", description="Should the upscaler crop the image to fit in the choosen size?")
+    upscaler_1: str = Field(default="None", title="Main upscaler", description=f"The name of the main upscaler to use, it has to be one of this list: {' , '.join([x.name for x in sd_upscalers])}")
+    upscaler_2: str = Field(default="None", title="Secondary upscaler", description=f"The name of the secondary upscaler to use, it has to be one of this list: {' , '.join([x.name for x in sd_upscalers])}")
+    extras_upscaler_2_visibility: float = Field(default=0, title="Secondary upscaler visibility", ge=0, le=1, allow_inf_nan=False, description="Sets the visibility of secondary upscaler, values should be between 0 and 1.")
+
+class ExtraBaseResponse(BaseModel):
+    html_info_x: str
+    html_info: str
+
+class ExtrasSingleImageRequest(ExtrasBaseRequest):
+    image: str = Field(default="", title="Image", description="Image to work on, must be a Base64 string containing the image's data.")
+
+class ExtrasSingleImageResponse(ExtraBaseResponse):
+    image: str = Field(default=None, title="Image", description="The generated image in base64 format.")
\ No newline at end of file

From 1fbfc052eb529d8cf8ce5baf578bcf93d0280c29 Mon Sep 17 00:00:00 2001
From: DepFA <35278260+dfaker@users.noreply.github.com>
Date: Sun, 23 Oct 2022 05:43:34 +0100
Subject: [PATCH 073/321] Update hypernetwork.py

---
 modules/hypernetworks/hypernetwork.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 99fd0f8f..98a7b62e 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -288,10 +288,13 @@ def statistics(data):
 def report_statistics(loss_info:dict):
     keys = sorted(loss_info.keys(), key=lambda x: sum(loss_info[x]) / len(loss_info[x]))
     for key in keys:
-        info, recent = statistics(loss_info[key])
-        print("Loss statistics for file " + key)
-        print(info)
-        print(recent)
+        try:
+            print("Loss statistics for file " + key)
+            info, recent = statistics(loss_info[key])
+            print(info)
+            print(recent)
+        except Exception as e:
+            print(e)
 
 
 

From a7c213d0f5ebb10722629b8490a5863f9ce6c4fa Mon Sep 17 00:00:00 2001
From: Stephen <farrenzo47@gmail.com>
Date: Fri, 21 Oct 2022 19:27:40 -0400
Subject: [PATCH 074/321] [API][Feature] - Add img2img API endpoint

---
 modules/api/api.py        | 58 +++++++++++++++++++++++++++++++++++----
 modules/api/processing.py | 11 ++++++--
 modules/processing.py     |  2 +-
 3 files changed, 63 insertions(+), 8 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 5b0c934e..a04f2428 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,5 +1,5 @@
-from modules.api.processing import StableDiffusionProcessingAPI
-from modules.processing import StableDiffusionProcessingTxt2Img, process_images
+from modules.api.processing import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
+from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.sd_samplers import all_samplers
 from modules.extras import run_pnginfo
 import modules.shared as shared
@@ -10,6 +10,7 @@ from pydantic import BaseModel, Field, Json
 import json
 import io
 import base64
+from PIL import Image
 
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
@@ -18,6 +19,11 @@ class TextToImageResponse(BaseModel):
     parameters: Json
     info: Json
 
+class ImageToImageResponse(BaseModel):
+    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
+    parameters: Json
+    info: Json
+
 
 class Api:
     def __init__(self, app, queue_lock):
@@ -25,8 +31,9 @@ class Api:
         self.app = app
         self.queue_lock = queue_lock
         self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
+        self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"])
 
-    def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
+    def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
         
         if sampler_index is None:
@@ -54,8 +61,49 @@ class Api:
         
         
 
-    def img2imgapi(self):
-        raise NotImplementedError
+    def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI):
+        sampler_index = sampler_to_index(img2imgreq.sampler_index)
+        
+        if sampler_index is None:
+            raise HTTPException(status_code=404, detail="Sampler not found") 
+
+
+        init_images = img2imgreq.init_images
+        if init_images is None:
+            raise HTTPException(status_code=404, detail="Init image not found") 
+
+        
+        populate = img2imgreq.copy(update={ # Override __init__ params
+            "sd_model": shared.sd_model, 
+            "sampler_index": sampler_index[0],
+            "do_not_save_samples": True,
+            "do_not_save_grid": True
+            }
+        )
+        p = StableDiffusionProcessingImg2Img(**vars(populate))
+
+        imgs = []
+        for img in init_images:
+            # if has a comma, deal with prefix
+            if "," in img:
+                img = img.split(",")[1]
+            # convert base64 to PIL image
+            img = base64.b64decode(img)
+            img = Image.open(io.BytesIO(img))
+            imgs = [img] * p.batch_size
+
+        p.init_images = imgs
+        # Override object param
+        with self.queue_lock:
+            processed = process_images(p)
+        
+        b64images = []
+        for i in processed.images:
+            buffer = io.BytesIO()
+            i.save(buffer, format="png")
+            b64images.append(base64.b64encode(buffer.getvalue()))
+
+        return ImageToImageResponse(images=b64images, parameters=json.dumps(vars(img2imgreq)), info=json.dumps(processed.info))
 
     def extrasapi(self):
         raise NotImplementedError
diff --git a/modules/api/processing.py b/modules/api/processing.py
index 4c541241..9f1d65c0 100644
--- a/modules/api/processing.py
+++ b/modules/api/processing.py
@@ -1,7 +1,8 @@
+from array import array
 from inflection import underscore
 from typing import Any, Dict, Optional
 from pydantic import BaseModel, Field, create_model
-from modules.processing import StableDiffusionProcessingTxt2Img
+from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img
 import inspect
 
 
@@ -92,8 +93,14 @@ class PydanticModelGenerator:
         DynamicModel.__config__.allow_mutation = True
         return DynamicModel
     
-StableDiffusionProcessingAPI = PydanticModelGenerator(
+StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
     "StableDiffusionProcessingTxt2Img", 
     StableDiffusionProcessingTxt2Img,
     [{"key": "sampler_index", "type": str, "default": "Euler"}]
+).generate_model()
+
+StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
+    "StableDiffusionProcessingImg2Img", 
+    StableDiffusionProcessingImg2Img,
+    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}]
 ).generate_model()
\ No newline at end of file
diff --git a/modules/processing.py b/modules/processing.py
index b1877b80..1557ed8c 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -623,7 +623,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
 class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
     sampler = None
 
-    def __init__(self, init_images=None, resize_mode=0, denoising_strength=0.75, mask=None, mask_blur=4, inpainting_fill=0, inpaint_full_res=True, inpaint_full_res_padding=0, inpainting_mask_invert=0, **kwargs):
+    def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: str=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs):
         super().__init__(**kwargs)
 
         self.init_images = init_images

From 9e1a8b7734a2881451a2efbf80def011ea41ba49 Mon Sep 17 00:00:00 2001
From: Stephen <farrenzo47@gmail.com>
Date: Sat, 22 Oct 2022 15:42:00 -0400
Subject: [PATCH 075/321] non-implemented mask with any type

---
 modules/api/api.py        | 4 ++++
 modules/api/processing.py | 2 +-
 modules/processing.py     | 2 +-
 3 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index a04f2428..3df6ff96 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -72,6 +72,10 @@ class Api:
         if init_images is None:
             raise HTTPException(status_code=404, detail="Init image not found") 
 
+        mask = img2imgreq.mask
+        if mask:
+            raise HTTPException(status_code=400, detail="Mask not supported yet") 
+
         
         populate = img2imgreq.copy(update={ # Override __init__ params
             "sd_model": shared.sd_model, 
diff --git a/modules/api/processing.py b/modules/api/processing.py
index 9f1d65c0..f551fa35 100644
--- a/modules/api/processing.py
+++ b/modules/api/processing.py
@@ -102,5 +102,5 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
 StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
     "StableDiffusionProcessingImg2Img", 
     StableDiffusionProcessingImg2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}]
+    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
 ).generate_model()
\ No newline at end of file
diff --git a/modules/processing.py b/modules/processing.py
index 1557ed8c..ff83023c 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -623,7 +623,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
 class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
     sampler = None
 
-    def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: str=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs):
+    def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: Any=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs):
         super().__init__(**kwargs)
 
         self.init_images = init_images

From 5dc0739ecdc1ade8fcf4eb77f2a503ef12489f32 Mon Sep 17 00:00:00 2001
From: Stephen <farrenzo47@gmail.com>
Date: Sat, 22 Oct 2022 17:10:28 -0400
Subject: [PATCH 076/321] working mask

---
 modules/api/api.py | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 3df6ff96..3caa83a4 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -33,6 +33,14 @@ class Api:
         self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
         self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"])
 
+    def __base64_to_image(self, base64_string):
+        # if has a comma, deal with prefix
+        if "," in base64_string:
+            base64_string = base64_string.split(",")[1]
+        imgdata = base64.b64decode(base64_string)
+        # convert base64 to PIL image
+        return Image.open(io.BytesIO(imgdata))
+
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
         
@@ -74,26 +82,22 @@ class Api:
 
         mask = img2imgreq.mask
         if mask:
-            raise HTTPException(status_code=400, detail="Mask not supported yet") 
+            mask = self.__base64_to_image(mask)
 
         
         populate = img2imgreq.copy(update={ # Override __init__ params
             "sd_model": shared.sd_model, 
             "sampler_index": sampler_index[0],
             "do_not_save_samples": True,
-            "do_not_save_grid": True
+            "do_not_save_grid": True, 
+            "mask": mask
             }
         )
         p = StableDiffusionProcessingImg2Img(**vars(populate))
 
         imgs = []
         for img in init_images:
-            # if has a comma, deal with prefix
-            if "," in img:
-                img = img.split(",")[1]
-            # convert base64 to PIL image
-            img = base64.b64decode(img)
-            img = Image.open(io.BytesIO(img))
+            img = self.__base64_to_image(img)
             imgs = [img] * p.batch_size
 
         p.init_images = imgs

From 1ef32c8b8fa3e16a1e7b287eb19d4fc943d1f2a5 Mon Sep 17 00:00:00 2001
From: kabachuha <artemkhrapov2001@yandex.ru>
Date: Sun, 23 Oct 2022 00:01:13 +0300
Subject: [PATCH 077/321] Add ru_RU localization

---
 localizations/ru_RU.json | 475 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 475 insertions(+)
 create mode 100644 localizations/ru_RU.json

diff --git a/localizations/ru_RU.json b/localizations/ru_RU.json
new file mode 100644
index 00000000..664d36ea
--- /dev/null
+++ b/localizations/ru_RU.json
@@ -0,0 +1,475 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Загрузка...",
+    "view": "просмотр",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "На основе Gradio",
+    "Stable Diffusion checkpoint": "Веса Stable Diffusion",
+    "txt2img": "текст-в-рисунок",
+    "img2img": "рисунок-в-рисунок",
+    "Extras": "Дополнения",
+    "PNG Info": "Информация о PNG",
+    "Image Browser": "Просмотр изображений",
+    "History": "Журнал",
+    "Checkpoint Merger": "Слияние весов",
+    "Train": "Обучение",
+    "Create aesthetic embedding": "Создать эмбеддинг эстетики",
+    "Settings": "Настройки",
+    "Prompt": "Запрос",
+    "Negative prompt": "Исключающий запрос",
+    "Run": "Запустить",
+    "Skip": "Пропустить",
+    "Interrupt": "Прервать",
+    "Generate": "Создать",
+    "Style 1": "Стиль 1",
+    "Style 2": "Стиль 2",
+    "Label": "Метка",
+    "File": "Файл",
+    "Drop File Here": "Перетащите файл сюда",
+    "-": "-",
+    "or": "или",
+    "Click to Upload": "Нажмите, чтобы загрузить",
+    "Image": "Рисунок",
+    "Check progress": "Узнать состояние",
+    "Check progress (first)": "Узнать состояние первого",
+    "Sampling Steps": "Шагов семплера",
+    "Sampling method": "Метод семплирования",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Ширина",
+    "Height": "Высота",
+    "Restore faces": "Восстановить лица",
+    "Tiling": "Замощение",
+    "Highres. fix": "HD-режим",
+    "Firstpass width": "Ширина первого прохода",
+    "Firstpass height": "Высота первого прохода",
+    "Denoising strength": "Сила шумоподавления",
+    "Batch count": "Рисунков подряд",
+    "Batch size": "Рисунков параллельно",
+    "CFG Scale": "Близость к запросу",
+    "Seed": "Семя",
+    "Extra": "Дополнения",
+    "Variation seed": "Вариация семени",
+    "Variation strength": "Вариация шумоподавления",
+    "Resize seed from width": "Поправка в семя от ширины",
+    "Resize seed from height": "Поправка в семя от высоты",
+    "Open for Clip Aesthetic!": "Clip-эстетика!",
+    "▼": "▼",
+    "Aesthetic weight": "Вес эстетики",
+    "Aesthetic steps": "Шагов эстетики",
+    "Aesthetic learning rate": "Скорость обучения эстетики",
+    "Slerp interpolation": "Slerp-интерполяция",
+    "Aesthetic imgs embedding": "Рисунки - эмбеддинги эстетики",
+    "None": "Ничего",
+    "Aesthetic text for imgs": "Имя эстетики рисунков",
+    "Slerp angle": "Угол slerp",
+    "Is negative text": "Это текст для исключения",
+    "Script": "Скрипт",
+    "Prompt matrix": "Матрица запросов",
+    "Prompts from file or textbox": "Запросы из файла или текста",
+    "X/Y plot": "X/Y-график",
+    "Put variable parts at start of prompt": "Переменное начало запроса",
+    "Show Textbox": "Показать текстовый ввод",
+    "File with inputs": "Файл входа",
+    "Prompts": "Запросы",
+    "X type": "Ось X",
+    "Nothing": "Ничего",
+    "Var. seed": "Вариация семени",
+    "Var. strength": "Вариация силы",
+    "Steps": "Число шагов",
+    "Prompt S/R": "Вариация запроса",
+    "Prompt order": "Порядок запросов",
+    "Sampler": "Семплер",
+    "Checkpoint name": "Имя файла весов",
+    "Hypernetwork": "Гиперсеть",
+    "Hypernet str.": "Строка гиперсети",
+    "Sigma Churn": "Возмущение сигмы",
+    "Sigma min": "Мин. сигма",
+    "Sigma max": "Макс. сигма",
+    "Sigma noise": "Сигма-шум",
+    "Eta": "Расчётное время",
+    "Clip skip": "Пропустить Clip",
+    "Denoising": "Шумоподавление",
+    "X values": "Значения X",
+    "Y type": "Тип Y",
+    "Y values": "Значения Y",
+    "Draw legend": "Легенда графика",
+    "Include Separate Images": "Включить отдельные рисунки",
+    "Keep -1 for seeds": "-1 для семени",
+    "Drop Image Here": "Перетащите рисунок сюда",
+    "Save": "Сохранить",
+    "Send to img2img": "В рисунок-в-рисунок",
+    "Send to inpaint": "В режим врисовывания",
+    "Send to extras": "В дополнения",
+    "Make Zip when Save?": "Создать zip при сохранении?",
+    "Textbox": "Текст",
+    "Interrogate\nCLIP": "Распознавание\nCLIP",
+    "Interrogate\nDeepBooru": "Распознавание\nDeepBooru",
+    "Inpaint": "врисовать",
+    "Batch img2img": "рисунок-в-рисунок (набор)",
+    "Image for img2img": "рисунок-в-рисунок (вход)",
+    "Image for inpainting with mask": "врисовать (вход с трафаретом)",
+    "Mask": "Трафарет",
+    "Mask blur": "Размытие трафарета",
+    "Mask mode": "Режим трафарета",
+    "Draw mask": "Нарисовать трафарет",
+    "Upload mask": "Загрузить трафарет",
+    "Masking mode": "Режим трафарета",
+    "Inpaint masked": "Внутри трафарета",
+    "Inpaint not masked": "Вне трафарета",
+    "Masked content": "Под трафаретом",
+    "fill": "залить",
+    "original": "сохранить",
+    "latent noise": "латентный шум",
+    "latent nothing": "латентная пустота",
+    "Inpaint at full resolution": "Врисовать при полном разрешении",
+    "Inpaint at full resolution padding, pixels": "Врисовать с достройкой до полного разрешения, в пикселях",
+    "Process images in a directory on the same machine where the server is running.": "Обрабатывать рисунки на том же компьютере, где сервер",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Использовать пустую папку вместо того, чтобы выводить в output",
+    "Disabled when launched with --hide-ui-dir-config.": "Выключено при запуске с  --hide-ui-dir-config",
+    "Input directory": "Папка входа",
+    "Output directory": "Папка выхода",
+    "Resize mode": "Масштабирование",
+    "Just resize": "Только сжать",
+    "Crop and resize": "Сжать и обрезать",
+    "Resize and fill": "Сжать и залить",
+    "img2img alternative test": "рисунок-в-рисунок (альтернатива)",
+    "Loopback": "Прокручивание",
+    "Outpainting mk2": "Обрисовыватель mk2",
+    "Poor man's outpainting": "Хоть какой-то обрисовыватель",
+    "SD upscale": "SD-апскейл",
+    "should be 2 or lower.": "должно быть меньше равно 2",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Сменить метод семплирования на метод Эйлера?(скрипт строился с его учётом)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Сменить `запрос` на `изначальный запрос`?(и `запрос-исключение`)",
+    "Original prompt": "Изначальный запрос",
+    "Original negative prompt": "Изначальный запрос-исключение",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Сменить число шагов на число шагов декодирования?",
+    "Decode steps": "Шагов декодирования",
+    "Override `Denoising strength` to 1?": "Сменить силу шумоподавления на 1?",
+    "Decode CFG scale": "Близость к запросу декодирования",
+    "Randomness": "Случайность",
+    "Sigma adjustment for finding noise for image": "Поправка к сигме подбора шума для рисунка",
+    "Loops": "Циклов",
+    "Denoising strength change factor": "Множитель силы шумоподавления",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Рекоммендуемые настройки： Число шагов：80-100，Метод：Euler a，Шумоподавление：0.8",
+    "Pixels to expand": "Пикселов расширить",
+    "Outpainting direction": "Направление обрисовывания",
+    "left": "влево",
+    "right": "вправо",
+    "up": "вверх",
+    "down": "вниз",
+    "Fall-off exponent (lower=higher detail)": "Степень затухания （меньше=больше деталей）",
+    "Color variation": "Вариация цвета",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Расширит рисунок дважды； ползунки ширины и высоты устанавливают размеры плиток",
+    "Tile overlap": "Перекрытие плиток",
+    "Upscaler": "Апскейлер",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR_4x": "SwinIR 4x",
+    "Single Image": "Один рисунок",
+    "Batch Process": "Набор рисунков",
+    "Batch from Directory": "Рисунки из папки",
+    "Source": "Вход",
+    "Show result images": "Показать результаты",
+    "Scale by": "Увеличить в",
+    "Scale to": "Увеличить до",
+    "Resize": "Масштабировать",
+    "Crop to fit": "Обрезать до рамки",
+    "Upscaler 2": "Апскейлер 2",
+    "Upscaler 2 visibility": "Видимость Апскейлера 2",
+    "GFPGAN visibility": "Видимость GFPGAN",
+    "CodeFormer visibility": "Видимость CodeFormer",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Вес CodeFormer (0 = максимальное действие, 1 = минимальное)",
+    "Open output directory": "Открыть папку выхода",
+    "Send to txt2img": "В текст-в-рисунок",
+    "txt2img history": "журнал текста-в-рисунок",
+    "img2img history": "журнал рисунка-в-рисунок",
+    "extras history": "журнал дополнений",
+    "Renew Page": "Обновить страницу",
+    "extras": "дополнения",
+    "favorites": "избранное",
+    "Load": "Загрузить",
+    "Images directory": "Папка с рисунками",
+    "Prev batch": "Пред. набор",
+    "Next batch": "След. набор",
+    "First Page": "Первая страница",
+    "Prev Page": "Пред. страница",
+    "Page Index": "Список страниц",
+    "Next Page": "След. страница",
+    "End Page": "Конец страницы",
+    "number of images to delete consecutively next": "сколько рисунков удалить подряд",
+    "Delete": "Удалить",
+    "Generate Info": "Сведения о генерации",
+    "File Name": "Имя файла",
+    "Collect": "Накопить",
+    "Refresh page": "Обновить страницу",
+    "Date to": "Дата",
+    "Number": "Число",
+    "set_index": "индекс",
+    "Checkbox": "Галочка",
+    "A merger of the two checkpoints will be generated in your": "Слияние весов будет создано, где хранятся",
+    "checkpoint": "ckpt",
+    "directory.": "веса",
+    "Primary model (A)": "Первичная модель (A)",
+    "Secondary model (B)": "Вторичная модель (B)",
+    "Tertiary model (C)": "Третичная модель (C)",
+    "Custom Name (Optional)": "Произвольное имя (необязательно)",
+    "Multiplier (M) - set to 0 to get model A": "Множитель (M) - 0 даст модель A",
+    "Interpolation Method": "Метод интерполяции",
+    "Weighted sum": "Взвешенная сумма",
+    "Add difference": "Сумма разностей",
+    "Save as float16": "Сохранить как float16",
+    "See": "См.",
+    "wiki": "вики",
+    "for detailed explanation.": "для подробных объяснений.",
+    "Create embedding": "Создать эмбеддинг",
+    "Create aesthetic images embedding": "Создать эмбеддинг эстетики по рисункам",
+    "Create hypernetwork": "Создать гиперсеть",
+    "Preprocess images": "Предобработать рисунки",
+    "Name": "Имя",
+    "Initialization text": "Соответствующий текст",
+    "Number of vectors per token": "Векторов на токен",
+    "Overwrite Old Embedding": "Перезаписать эмбеддинг",
+    "Source directory": "Исходная папка",
+    "Modules": "Модули",
+    "Enter hypernetwork layer structure": "Структура слоёв гиперсети",
+    "Add layer normalization": "Добавить нормализацию слоёв",
+    "Overwrite Old Hypernetwork": "Перезаписать гиперсеть",
+    "Select activation function of hypernetwork": "Функция активации гиперсети",
+    "linear": "линейная",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "Destination directory": "Папка назначения",
+    "Existing Caption txt Action": "Что делать с предыдущим текстом",
+    "ignore": "игнорировать",
+    "copy": "копировать",
+    "prepend": "в начало",
+    "append": "в конец",
+    "Create flipped copies": "Создать отражённые копии",
+    "Split oversized images into two": "Поделить слишком большие рисунки пополам",
+    "Split oversized images": "Поделить слишком большие рисунки",
+    "Use BLIP for caption": "Использовать BLIP для названий",
+    "Use deepbooru for caption": "Использовать deepbooru для тегов",
+    "Split image threshold": "Порог разделения рисунков",
+    "Split image overlap ratio": "Пропорции разделения рисунков",
+    "Preprocess": "Предобработка",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Обучить эмбеддинг； укажите папку рисунков с пропорциями 1:1",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Обучить эмбеддинг или гиперсеть； укажите папку рисунков с пропорциями 1:1",
+    "[wiki]": "[вики]",
+    "Embedding": "Эмбеддинг",
+    "Embedding Learning rate": "Скорость обучения эмбеддинга",
+    "Hypernetwork Learning rate": "Скорость обучения гиперсети",
+    "Learning rate": "Скорость обучения",
+    "Dataset directory": "Папка датасета",
+    "Log directory": "Папка журнала",
+    "Prompt template file": "Файл шаблона запроса",
+    "Max steps": "Макс. шагов",
+    "Save an image to log directory every N steps, 0 to disable": "Сохранять рисунок каждые N шагов, 0 чтобы отключить",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Сохранять эмбеддинг каждые N шагов, 0 чтобы отключить",
+    "Save images with embedding in PNG chunks": "Сохранить рисунок с эмбеддингом в виде PNG-фрагментов",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Считать параметры (запрос и т.д.) из вкладки текст-в-рисунок для предпросмотра",
+    "Train Hypernetwork": "Обучить гиперсеть",
+    "Train Embedding": "Обучить эмбеддинг",
+    "Create an aesthetic embedding out of any number of images": "Создать эмбеддинг эстетики по любому числу рисунков",
+    "Create images embedding": "Создать эмбеддинг рисунков",
+    "Apply settings": "Применить настройки",
+    "Saving images/grids": "Сохранение рисунков/таблиц",
+    "Always save all generated images": "Всегда сохранять созданные рисунки",
+    "File format for images": "Формат файла рисунков",
+    "Images filename pattern": "Формат имени файлов рисунков",
+    "Always save all generated image grids": "Всегда сохранять созданные таблицы",
+    "File format for grids": "Формат файла таблиц",
+    "Add extended info (seed, prompt) to filename when saving grid": "Вставлять доп. сведения (семя, запрос) в имя файла таблиц",
+    "Do not save grids consisting of one picture": "Не сохранять таблицы из одного рисунка",
+    "Prevent empty spots in grid (when set to autodetect)": "Не допускать пустоты в таблицах （автообнаружение）",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Число строк таблицы； -1, чтобы автоматически, 0 — размер набора",
+    "Save text information about generation parameters as chunks to png files": "Встроить сведения о генерации в файлы png",
+    "Create a text file next to every image with generation parameters.": "Создать текстовый файл для каждого рисунка с параметрами генерации",
+    "Save a copy of image before doing face restoration.": "Сохранить копию перед восстановлением лиц",
+    "Quality for saved jpeg images": "Качество jpeg-рисунков",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Если размер PNG больше 4МБ или рисунок шире 4000 пикселей, пересжать в JPEG",
+    "Use original name for output filename during batch process in extras tab": "Использовать исходное имя выходного файла для обработки набора во вкладке дополнений",
+    "When using 'Save' button, only save a single selected image": "Сохранять только один рисунок при нажатии кнопки Сохранить",
+    "Do not add watermark to images": "Не добавлять водяной знак",
+    "Paths for saving": "Папки сохранений",
+    "Output directory for images; if empty, defaults to three directories below": "Папка выхода рисунков; если пусто, использует те, что ниже",
+    "Output directory for txt2img images": "Папка выхода текста-в-рисунок",
+    "Output directory for img2img images": "Папка выхода рисунка-в-рисунок",
+    "Output directory for images from extras tab": "Папка выхода для дополнений",
+    "Output directory for grids; if empty, defaults to two directories below": "Папка выхода таблиц; если пусто, использует папки выше",
+    "Output directory for txt2img grids": "Папка выхода текста-в-рисунок",
+    "Output directory for img2img grids": "Папка выхода рисунка-в-рисунок",
+    "Directory for saving images using the Save button": "Папка выхода для кнопки Сохранить",
+    "Saving to a directory": "Сохранить в папку",
+    "Save images to a subdirectory": "Сохранить рисунки в подпапку",
+    "Save grids to a subdirectory": "Сохранить таблицы в подпапку",
+    "When using \"Save\" button, save images to a subdirectory": "При нажатии кнопки Сохранить, сложить рисунки в подпапку",
+    "Directory name pattern": "Шаблон имени папки",
+    "Max prompt words for [prompt_words] pattern": "Макс. число слов для шаблона [prompt_words]",
+    "Upscaling": "Апскейл",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Размер плитки для ESRGAN. 0 = нет замощения",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Наложение плиток ESRGAN, в пикселях. Меньше = выделеннее шов",
+    "Tile size for all SwinIR.": "Размер плиток SwinIR",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Наложение плиток SwinIR, в пикселях. Меньше = выделеннее шов",
+    "LDSR processing steps. Lower = faster": "Число шагов LDSR. Меньше = быстрее",
+    "Upscaler for img2img": "Апскейлер рисунка-в-рисунок",
+    "Upscale latent space image when doing hires. fix": "Апскейлить образ латентного пространства для HD-режима",
+    "Face restoration": "Восстановление лиц",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Вес CodeFormer； 0 = максимальное действие； 1 = минимальное",
+    "Move face restoration model from VRAM into RAM after processing": "Переместить модель восстановления лиц из ВОЗУ в ОЗУ после обработки",
+    "System": "Система",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Сколько раз в секунду следить за потреблением ВОЗУ. 0, чтобы отключить",
+    "Always print all generation info to standard output": "Выводить все сведения о генерации в стандартный вывод",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Вторая шкала прогресса для всей задачи",
+    "Training": "Обучение",
+    "Unload VAE and CLIP from VRAM when training": "Убрать VAE и CLIP из ВОЗУ на время обучения",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Переместить VAE и CLIP в ОЗУ на время обучения гиперсети. Сохраняет ВОЗУ",
+    "Filename word regex": "Regex имени файла",
+    "Filename join string": "Дополнить к имени файла",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Число повторов для каждого рисунка за эпоху; используется только, чтобы отобразить число эпохи",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Сохранять csv с параметром loss в папку журнала каждые N шагов, 0 - отключить",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Удерживать веса в ОЗУ",
+    "Hypernetwork strength": "Сила гиперсети",
+    "Apply color correction to img2img results to match original colors.": "Цветокоррекция вывода рисунка-в-рисунок, сохраняющая исходные цвета",
+    "Save a copy of image before applying color correction to img2img results": "Сохранить копию рисунка перед цветокоррекцией",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "В режиме рисунок-в-рисунок сделать ровно указанное ползунком число шагов (обычно шумоподавление их уменьшает)",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Включить квантование К-семплерах для более резких и чистых результатов. Может потребовать поменять семя. Требует перезапуска.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Скобки: (понятие) - больше внимания к тексту, [понятие] - меньше внимания к тексту",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Включить старую обработку скобок. Может потребоваться, чтобы воспроизвести старые семена.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Заставить семплеры K-diffusion производить тот же самый рисунок в наборе, как и в единичной генерации",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Увеличить связность, достраивая запрос от последней запятой до n токенов, когда используется свыше 75 токенов",
+    "Filter NSFW content": "Фильтровать небезопасный контент",
+    "Stop At last layers of CLIP model": "Остановиться на последних слоях модели CLIP",
+    "Interrogate Options": "Опции распознавания",
+    "Interrogate: keep models in VRAM": "Распознавание: хранить модели в ВОЗУ",
+    "Interrogate: use artists from artists.csv": "Распознавание: использовать художников из artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Распознавание: включить ранжирование совпавших тегов в результате (не работает для распознавателей-создателей заголовков)",
+    "Interrogate: num_beams for BLIP": "Распознавание: num_beams для BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Распознавание: минимальная длина описания (исключая художников и т.п.)",
+    "Interrogate: maximum description length": "Распознавание: максимальная длина описания",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: максимальное число строк в текстовом файле (0 = без ограничений)",
+    "Interrogate: deepbooru score threshold": "Распознавание: ограничение счёта deepbooru",
+    "Interrogate: deepbooru sort alphabetically": "Распознавание: сортировать deepbooru по алфавиту",
+    "use spaces for tags in deepbooru": "Пробелы для тегов deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "Использовать скобки в deepbooru как обычные скобки, а не для усиления",
+    "User interface": "Пользовательский интерфейс",
+    "Show progressbar": "Шкала прогресса",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Показывать процесс созданния рисунка каждые N шагов. 0 - отключить",
+    "Show grid in results for web": "Показать таблицу в выводе браузера",
+    "Do not show any images in results for web": "Не показывать выходные рисунки в браузере",
+    "Add model hash to generation information": "Добавить хеш весов к параметрам генерации",
+    "Add model name to generation information": "Добавить имя весов к параметрам генерации",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "При считывании параметров генерации из текста в интерфейс, не менять выбранную модель/веса.",
+    "Font for image grids that have text": "Шрифт для таблиц, содержащих текст",
+    "Enable full page image viewer": "Включить полноэкранный просмотр картинок",
+    "Show images zoomed in by default in full page image viewer": "По умолчанию увеличивать картинки в полноэкранном просмотре",
+    "Show generation progress in window title.": "Отображать прогресс в имени вкладки",
+    "Quicksettings list": "Список быстрых настроек",
+    "Localization (requires restart)": "Перевод （требует перезапуск）",
+    "Sampler parameters": "Параметры семплера",
+    "Hide samplers in user interface (requires restart)": "Убрать семплеры из интерфейса (требует перезапуск)",
+    "eta (noise multiplier) for DDIM": "eta (множитель шума) DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (множитель шума) для ancestral-семплеров",
+    "img2img DDIM discretize": "дискретизация DDIM для рисунка-в-рисунок",
+    "uniform": "однородная",
+    "quad": "квадратичная",
+    "sigma churn": "сигма-вариация",
+    "sigma tmin": "сигма-tmin",
+    "sigma noise": "сигма-шум",
+    "Eta noise seed delta": "Eta (дельта шума семени)",
+    "Images Browser": "Просмотр изображений",
+    "Preload images at startup": "Предзагружать рисунки во время запуска",
+    "Number of pictures displayed on each page": "Число рисунков на каждой странице",
+    "Minimum number of pages per load": "Мин. число загружаемых страниц",
+    "Number of grids in each row": "Число таблиц в каждой строке",
+    "Request browser notifications": "Запросить уведомления браузера",
+    "Download localization template": "Загрузить щаблон перевода",
+    "Reload custom script bodies (No ui updates, No restart)": "Перезагрузить пользовательские скрипты (не требует обновления интерфейса и перезапуска)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Перезагрузить Gradio и обновить компоненты (только пользовательские скрипты, ui.py, js и css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Запрос （нажмите Ctrl+Enter или Alt+Enter для генерации）",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Запрос-исключение （нажмите Ctrl+Enter или Alt+Enter для генерации）",
+    "Add a random artist to the prompt.": "Добавить случайного художника к запросу",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Считать параметры генерации из запроса или из предыдущей генерации в пользовательский интерфейс, если пусто",
+    "Save style": "Сохранить стиль",
+    "Apply selected styles to current prompt": "Применить выбранные стили к текущему промпту",
+    "Stop processing current image and continue processing.": "Прекратить обрабатывать текущий рисунок, но продолжить работу",
+    "Stop processing images and return any results accumulated so far.": "Прекратить обрабатку рисунков и вернуть всё, что успели сделать.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Стиль к применению; стили содержат как запрос, так и исключение, и применяют их оба",
+    "Do not do anything special": "Не делать ничего особенного",
+    "Which algorithm to use to produce the image": "Какой алгоритм использовать для того, чтобы произвести рисунок",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - очень творческий, в зависимости от числа шагов может привести совершенно к различным результатам, выше 30-40 лучше не ставить",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit модели - лучше всего для обрисовки",
+    "Produce an image that can be tiled.": "Сделать из рисунка непрерывную обёртку",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Применить двушаговый процесс, чтобы создать рисунок на меньшем разрешении, апскейлнуть, а затем улучшить детали без смены композиции",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Определяет, насколько сильно алгоритм будет опираться на содержание изображения. 0 - не меняет ничего, 1 - совсем не связанный выход. Меньше 1.0 процесс использует меньше шагов, чем указано их ползунком.",
+    "How many batches of images to create": "Сколько создать наборов из картинок",
+    "How many image to create in a single batch": "Сколько картинок создать в каждом наборе",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale: насколько сильно изображение должно соответсвтовать запросу — меньшие значения приведут к более свободным итогам",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Значение, которое определяет выход генератора случайных чисел — если вы создадите рисунок с теми же параметрами и семенем, как у другого изображения, вы получите тот же результат",
+    "Set seed to -1, which will cause a new random number to be used every time": "Установить семя в -1, что вызовет каждый раз случайное число",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Использовать семя предыдущей генерации, обычно полезно, если оно было случайным",
+    "Seed of a different picture to be mixed into the generation.": "Семя с другого рисунка, подмешенного в генерацию.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Насколько сильную вариацию произвести. При 0м значении действия не будет. Для 1 вы получите полноценный рисунок с семенем вариации (кроме ancestral-семплеров, где вы просто что-то получите).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Попытаться воспроизвести изображение, похожее на то, чтобы получилось с тем же семенем на выбранном разрешении",
+    "This text is used to rotate the feature space of the imgs embs": "Этот текст используется, чтобы произвести вращение пространства признаков из эмбеддинга рисунков",
+    "Separate values for X axis using commas.": "Отдельные значения оси X через запятую.",
+    "Separate values for Y axis using commas.": "Отдельные значения оси Y через запятую.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Записать изображение в папку (по-умолчанию - log/images), а параметры генерации - в csv файл",
+    "Open images output directory": "Открыть папку сохранения изображений",
+    "How much to blur the mask before processing, in pixels.": "Насколько пикселей размыть трафарет перед обработкой",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Что поместить в область под трафаретом перед обработкой Stable Diffusion",
+    "fill it with colors of the image": "залить цветами изображения",
+    "keep whatever was there originally": "сохранить то, что было до этого",
+    "fill it with latent space noise": "залить латентным шумом",
+    "fill it with latent space zeroes": "залить латентными нулями",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "апскейл до нужного разрешения, врисовка, сжатие до начального размера и вставка в исходный рисунок",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Масшабировать изображение до нужного разрешения. Если только высота и ширина не совпадают, вы получите неверное соотношение сторон.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Масштабировать изображение так, чтобы им заполнялось всё выбранное выходное разрешение. Обрезать выступающие части",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Масштабировать изображение так, всё изображение помещалось в выбранное выходное разрешение. Заполнить пустое место цветами изображения.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Сколько раз повторить обработку изображения и использовать её как вход для следующией итерации",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "В режиме прокрутки, для каждого цикла сила шумоподавления умножается на это значение. <1 уменьшает вариации так, чтобы последовательность сошлась на какой-то одной картинке. >1 увеличивает вариации, так что ваша последовательность станет всё более и более сумбурной.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Для SD-апскейла, как много перекрытия в пикселях должно быть между плитками. Плитки перекрываются таким образом, чтобы они могли сойтись обратно в единое изображение, без видимого шва.",
+    "A directory on the same machine where the server is running.": "Папка на той же машине, где запущен сервер",
+    "Leave blank to save images to the default path.": "Оставьте пустым, чтобы сохранить рисунки в папку по-умолчанию",
+    "Result = A * (1 - M) + B * M": "Выход = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Выход = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "1я и последняя цифры должны быть 1. напр.'1, 2, 1'",
+    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "как быстро будет происходить обучение. Меньшие значения увеличат время обучения, но высокие могут нарушить сходимость модели (не будет создавать должные результаты) и/или сломать эмбеддинг. (Это случилось, если вы видете Loss: nan в текстовом окне вывода обучения. В этом случае вам придётся восстанавливать эмбеддинг вручную из старой, не повреждённой резервной копии).\n\nВы также можете указать единичное значение или последовательность из нескольких, используя следующий синтаксис:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nБудет обучаться со скоростью 0.005 первые 100 шагов, затем 1e-3 до 1000 шагов, после 1e-5 для всех оставшихся шагов.",
+    "Path to directory with input images": "Путь к папке со входными изображениями",
+    "Path to directory where to write outputs": "Путь к папке, в которую записывать результаты",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Используйте следующие теги, чтобы определить, как подбираются названия файлов для изображений: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; если пусто, используется значение по-умолчанию",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Когда эта опция включена, на созданные изображения не будет добавляться водяной знак. Предупреждение: не добавляя водяной знак, вы, вероятно, ведёте себя аморально.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Используйте следующие теги, чтобы определить, как подбираются названия подпапок для рисунков и табоиц: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; если пусто, используется значение по-умолчанию",
+    "Restore low quality faces using GFPGAN neural network": "Восстановить низкокачественные лица, используя нейросеть GFPGAN",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Это регулярное выражение будет использовано, чтобы извлечь слова из имени файла, и они будут соединены с текстом в метке ниже как вход во время обучения. Оставьте пустым, чтобы сохранить имя файла как есть",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Эта строка будет использована, чтобы объединить разделённые слова в одну строку, если включена опция выше.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Список имён настроек, разделённый запятыми, предназначенных для быстрого доступа через панель наверху, а не через привычную вкладку настроек. Для применения требует перезапуска.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Если это значение не нулевое, оно будет добавлено к семени и использовано для инициалицации ГСЧ шума семплеров с параметром Eta. Вы можете использовать это, чтобы произвести ещё больше вариаций рисунков, либо же для того, чтобы подойти близко к результатам других программ, если знаете, что делаете.",
+    "Enable Autocomplete": "Включить автодополнение",
+    "Allowed categories for random artists selection when using the Roll button": "Разрешённые категории художников для случайного выбора при использовании кнопки + три",
+    "Roll three": "+ три",
+    "Generate forever": "Непрерывная генерация",
+    "Cancel generate forever": "Отключить непрерывную генерацию"
+}

From 696cb33e50faf3f37859ebfba70fff902f46b8fb Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 23 Oct 2022 16:46:54 +0900
Subject: [PATCH 078/321] after initial launch, disable --autolaunch for
 subsequent restarts

---
 webui.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/webui.py b/webui.py
index b1deca1b..a742c17d 100644
--- a/webui.py
+++ b/webui.py
@@ -135,6 +135,8 @@ def webui():
             inbrowser=cmd_opts.autolaunch,
             prevent_thread_lock=True
         )
+        # after initial launch, disable --autolaunch for subsequent restarts
+        cmd_opts.autolaunch = False
 
         app.add_middleware(GZipMiddleware, minimum_size=1000)
 

From 1be5933ba21a3badec42b7b2753d626f849b609d Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Sun, 23 Oct 2022 04:11:07 -0700
Subject: [PATCH 079/321] auto cropping now works with non square crops

---
 modules/textual_inversion/autocrop.py | 509 ++++++++++++++------------
 1 file changed, 269 insertions(+), 240 deletions(-)

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
index 5a551c25..b2f9241c 100644
--- a/modules/textual_inversion/autocrop.py
+++ b/modules/textual_inversion/autocrop.py
@@ -1,241 +1,270 @@
-import cv2
-from collections import defaultdict
-from math import log, sqrt
-import numpy as np
-from PIL import Image, ImageDraw
-
-GREEN = "#0F0"
-BLUE = "#00F"
-RED = "#F00"
-
-
-def crop_image(im, settings):
-  """ Intelligently crop an image to the subject matter """
-  if im.height > im.width:
-      im = im.resize((settings.crop_width, settings.crop_height * im.height // im.width))
-  elif im.width > im.height:
-      im = im.resize((settings.crop_width * im.width // im.height, settings.crop_height))
-  else:
-      im = im.resize((settings.crop_width, settings.crop_height))
-
-  if im.height == im.width:
-    return im
-
-  focus = focal_point(im, settings)
-
-  # take the focal point and turn it into crop coordinates that try to center over the focal
-  # point but then get adjusted back into the frame
-  y_half = int(settings.crop_height / 2)
-  x_half = int(settings.crop_width / 2)
-
-  x1 = focus.x - x_half
-  if x1 < 0:
-      x1 = 0
-  elif x1 + settings.crop_width > im.width:
-      x1 = im.width - settings.crop_width
-
-  y1 = focus.y - y_half
-  if y1 < 0:
-      y1 = 0
-  elif y1 + settings.crop_height > im.height:
-      y1 = im.height - settings.crop_height
-
-  x2 = x1 + settings.crop_width
-  y2 = y1 + settings.crop_height
-
-  crop = [x1, y1, x2, y2]
-
-  if settings.annotate_image:
-    d = ImageDraw.Draw(im)
-    rect = list(crop)
-    rect[2] -= 1
-    rect[3] -= 1
-    d.rectangle(rect, outline=GREEN)
-    if settings.destop_view_image:
-      im.show()
-
-  return im.crop(tuple(crop))
-
-def focal_point(im, settings):
-    corner_points = image_corner_points(im, settings)
-    entropy_points = image_entropy_points(im, settings)
-    face_points = image_face_points(im, settings)
-
-    total_points = len(corner_points) + len(entropy_points) + len(face_points)
-
-    corner_weight = settings.corner_points_weight
-    entropy_weight = settings.entropy_points_weight
-    face_weight = settings.face_points_weight
-
-    weight_pref_total = corner_weight + entropy_weight + face_weight
-
-    # weight things
-    pois = []
-    if weight_pref_total == 0 or total_points == 0: 
-      return pois
-
-    pois.extend(
-      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (corner_weight/weight_pref_total) / (len(corner_points)/total_points) )) for p in corner_points ]
-    )
-    pois.extend(
-      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (entropy_weight/weight_pref_total) / (len(entropy_points)/total_points) )) for p in entropy_points ]
-    )
-    pois.extend(
-      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (face_weight/weight_pref_total) / (len(face_points)/total_points) )) for p in face_points ]
-    )
-
-    average_point = poi_average(pois, settings)
-
-    if settings.annotate_image:
-      d = ImageDraw.Draw(im)
-      for f in face_points:
-        d.rectangle(f.bounding(f.size), outline=RED)
-      for f in entropy_points:
-        d.rectangle(f.bounding(30), outline=BLUE)
-      for poi in pois:
-        w = max(4, 4 * 0.5 * sqrt(poi.weight))
-        d.ellipse(poi.bounding(w), fill=BLUE)
-      d.ellipse(average_point.bounding(25), outline=GREEN)
-      
-    return average_point
-
-
-def image_face_points(im, settings):
-    np_im = np.array(im)
-    gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
-
-    tries = [
-      [ f'{cv2.data.haarcascades}haarcascade_eye.xml', 0.01 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_profileface.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt2.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt_tree.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_eye_tree_eyeglasses.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_upperbody.xml', 0.05 ]
-    ]
-
-    for t in tries:
-      # print(t[0])
-      classifier = cv2.CascadeClassifier(t[0])
-      minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
-      try:
-        faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
-          minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
-      except:
-        continue
-
-      if len(faces) > 0:
-        rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
-        return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2])) for r in rects]
-    return []
-
-
-def image_corner_points(im, settings):
-    grayscale = im.convert("L")
-
-    # naive attempt at preventing focal points from collecting at watermarks near the bottom
-    gd = ImageDraw.Draw(grayscale)
-    gd.rectangle([0, im.height*.9, im.width, im.height], fill="#999")
-
-    np_im = np.array(grayscale)
-
-    points = cv2.goodFeaturesToTrack(
-        np_im,
-        maxCorners=100,
-        qualityLevel=0.04,
-        minDistance=min(grayscale.width, grayscale.height)*0.07,
-        useHarrisDetector=False,
-    )
-
-    if points is None:
-        return []
-
-    focal_points = []
-    for point in points:
-      x, y = point.ravel()
-      focal_points.append(PointOfInterest(x, y, size=4))
-
-    return focal_points
-
-
-def image_entropy_points(im, settings):
-    landscape = im.height < im.width
-    portrait = im.height > im.width
-    if landscape:
-      move_idx = [0, 2]
-      move_max = im.size[0]
-    elif portrait:
-      move_idx = [1, 3]
-      move_max = im.size[1]
-    else:
-      return []
-
-    e_max = 0
-    crop_current = [0, 0, settings.crop_width, settings.crop_height]
-    crop_best = crop_current
-    while crop_current[move_idx[1]] < move_max:
-        crop = im.crop(tuple(crop_current))
-        e = image_entropy(crop)
-
-        if (e > e_max):
-          e_max = e
-          crop_best = list(crop_current)
-
-        crop_current[move_idx[0]] += 4
-        crop_current[move_idx[1]] += 4
-
-    x_mid = int(crop_best[0] + settings.crop_width/2)
-    y_mid = int(crop_best[1] + settings.crop_height/2)
-
-    return [PointOfInterest(x_mid, y_mid, size=25)]
-
-
-def image_entropy(im):
-    # greyscale image entropy
-    # band = np.asarray(im.convert("L"))
-    band = np.asarray(im.convert("1"), dtype=np.uint8)
-    hist, _ = np.histogram(band, bins=range(0, 256))
-    hist = hist[hist > 0]
-    return -np.log2(hist / hist.sum()).sum()
-
-
-def poi_average(pois, settings):
-    weight = 0.0
-    x = 0.0
-    y = 0.0
-    for poi in pois:
-        weight += poi.weight
-        x += poi.x * poi.weight
-        y += poi.y * poi.weight
-    avg_x = round(x / weight)
-    avg_y = round(y / weight)
-
-    return PointOfInterest(avg_x, avg_y)
-
-
-class PointOfInterest:
-  def __init__(self, x, y, weight=1.0, size=10):
-    self.x = x
-    self.y = y
-    self.weight = weight
-    self.size = size
-
-  def bounding(self, size):
-    return [
-      self.x - size//2,
-      self.y - size//2,
-      self.x + size//2,
-      self.y + size//2
-    ]
-
-
-class Settings:
-  def __init__(self, crop_width=512, crop_height=512, corner_points_weight=0.5, entropy_points_weight=0.5, face_points_weight=0.5, annotate_image=False):
-    self.crop_width = crop_width
-    self.crop_height = crop_height
-    self.corner_points_weight = corner_points_weight
-    self.entropy_points_weight = entropy_points_weight
-    self.face_points_weight = entropy_points_weight
-    self.annotate_image = annotate_image
+import cv2
+from collections import defaultdict
+from math import log, sqrt
+import numpy as np
+from PIL import Image, ImageDraw
+
+GREEN = "#0F0"
+BLUE = "#00F"
+RED = "#F00"
+
+
+def crop_image(im, settings):
+  """ Intelligently crop an image to the subject matter """
+
+  scale_by = 1
+  if is_landscape(im.width, im.height):
+    scale_by = settings.crop_height / im.height
+  elif is_portrait(im.width, im.height):
+    scale_by = settings.crop_width / im.width
+  elif is_square(im.width, im.height):
+    if is_square(settings.crop_width, settings.crop_height):
+      scale_by = settings.crop_width / im.width
+    elif is_landscape(settings.crop_width, settings.crop_height):
+      scale_by = settings.crop_width / im.width
+    elif is_portrait(settings.crop_width, settings.crop_height):
+      scale_by = settings.crop_height / im.height
+
+  im = im.resize((int(im.width * scale_by), int(im.height * scale_by)))
+
+  if im.width == settings.crop_width and im.height == settings.crop_height:
+    if settings.annotate_image:
+      d = ImageDraw.Draw(im)
+      rect = [0, 0, im.width, im.height]
+      rect[2] -= 1
+      rect[3] -= 1
+      d.rectangle(rect, outline=GREEN)
+      if settings.destop_view_image:
+        im.show()
+    return im
+
+  focus = focal_point(im, settings)
+
+  # take the focal point and turn it into crop coordinates that try to center over the focal
+  # point but then get adjusted back into the frame
+  y_half = int(settings.crop_height / 2)
+  x_half = int(settings.crop_width / 2)
+
+  x1 = focus.x - x_half
+  if x1 < 0:
+      x1 = 0
+  elif x1 + settings.crop_width > im.width:
+      x1 = im.width - settings.crop_width
+
+  y1 = focus.y - y_half
+  if y1 < 0:
+      y1 = 0
+  elif y1 + settings.crop_height > im.height:
+      y1 = im.height - settings.crop_height
+
+  x2 = x1 + settings.crop_width
+  y2 = y1 + settings.crop_height
+
+  crop = [x1, y1, x2, y2]
+
+  if settings.annotate_image:
+    d = ImageDraw.Draw(im)
+    rect = list(crop)
+    rect[2] -= 1
+    rect[3] -= 1
+    d.rectangle(rect, outline=GREEN)
+    if settings.destop_view_image:
+      im.show()
+
+  return im.crop(tuple(crop))
+
+def focal_point(im, settings):
+    corner_points = image_corner_points(im, settings)
+    entropy_points = image_entropy_points(im, settings)
+    face_points = image_face_points(im, settings)
+
+    total_points = len(corner_points) + len(entropy_points) + len(face_points)
+
+    corner_weight = settings.corner_points_weight
+    entropy_weight = settings.entropy_points_weight
+    face_weight = settings.face_points_weight
+
+    weight_pref_total = corner_weight + entropy_weight + face_weight
+
+    # weight things
+    pois = []
+    if weight_pref_total == 0 or total_points == 0: 
+      return pois
+
+    pois.extend(
+      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (corner_weight/weight_pref_total) / (len(corner_points)/total_points) )) for p in corner_points ]
+    )
+    pois.extend(
+      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (entropy_weight/weight_pref_total) / (len(entropy_points)/total_points) )) for p in entropy_points ]
+    )
+    pois.extend(
+      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (face_weight/weight_pref_total) / (len(face_points)/total_points) )) for p in face_points ]
+    )
+
+    average_point = poi_average(pois, settings)
+
+    if settings.annotate_image:
+      d = ImageDraw.Draw(im)
+      for f in face_points:
+        d.rectangle(f.bounding(f.size), outline=RED)
+      for f in entropy_points:
+        d.rectangle(f.bounding(30), outline=BLUE)
+      for poi in pois:
+        w = max(4, 4 * 0.5 * sqrt(poi.weight))
+        d.ellipse(poi.bounding(w), fill=BLUE)
+      d.ellipse(average_point.bounding(25), outline=GREEN)
+      
+    return average_point
+
+
+def image_face_points(im, settings):
+    np_im = np.array(im)
+    gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
+
+    tries = [
+      [ f'{cv2.data.haarcascades}haarcascade_eye.xml', 0.01 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_profileface.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt2.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt_tree.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_eye_tree_eyeglasses.xml', 0.05 ],
+      [ f'{cv2.data.haarcascades}haarcascade_upperbody.xml', 0.05 ]
+    ]
+
+    for t in tries:
+      # print(t[0])
+      classifier = cv2.CascadeClassifier(t[0])
+      minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
+      try:
+        faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
+          minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
+      except:
+        continue
+
+      if len(faces) > 0:
+        rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
+        return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2])) for r in rects]
+    return []
+
+
+def image_corner_points(im, settings):
+    grayscale = im.convert("L")
+
+    # naive attempt at preventing focal points from collecting at watermarks near the bottom
+    gd = ImageDraw.Draw(grayscale)
+    gd.rectangle([0, im.height*.9, im.width, im.height], fill="#999")
+
+    np_im = np.array(grayscale)
+
+    points = cv2.goodFeaturesToTrack(
+        np_im,
+        maxCorners=100,
+        qualityLevel=0.04,
+        minDistance=min(grayscale.width, grayscale.height)*0.07,
+        useHarrisDetector=False,
+    )
+
+    if points is None:
+        return []
+
+    focal_points = []
+    for point in points:
+      x, y = point.ravel()
+      focal_points.append(PointOfInterest(x, y, size=4))
+
+    return focal_points
+
+
+def image_entropy_points(im, settings):
+    landscape = im.height < im.width
+    portrait = im.height > im.width
+    if landscape:
+      move_idx = [0, 2]
+      move_max = im.size[0]
+    elif portrait:
+      move_idx = [1, 3]
+      move_max = im.size[1]
+    else:
+      return []
+
+    e_max = 0
+    crop_current = [0, 0, settings.crop_width, settings.crop_height]
+    crop_best = crop_current
+    while crop_current[move_idx[1]] < move_max:
+        crop = im.crop(tuple(crop_current))
+        e = image_entropy(crop)
+
+        if (e > e_max):
+          e_max = e
+          crop_best = list(crop_current)
+
+        crop_current[move_idx[0]] += 4
+        crop_current[move_idx[1]] += 4
+
+    x_mid = int(crop_best[0] + settings.crop_width/2)
+    y_mid = int(crop_best[1] + settings.crop_height/2)
+
+    return [PointOfInterest(x_mid, y_mid, size=25)]
+
+
+def image_entropy(im):
+    # greyscale image entropy
+    # band = np.asarray(im.convert("L"))
+    band = np.asarray(im.convert("1"), dtype=np.uint8)
+    hist, _ = np.histogram(band, bins=range(0, 256))
+    hist = hist[hist > 0]
+    return -np.log2(hist / hist.sum()).sum()
+
+
+def poi_average(pois, settings):
+    weight = 0.0
+    x = 0.0
+    y = 0.0
+    for poi in pois:
+        weight += poi.weight
+        x += poi.x * poi.weight
+        y += poi.y * poi.weight
+    avg_x = round(x / weight)
+    avg_y = round(y / weight)
+
+    return PointOfInterest(avg_x, avg_y)
+
+
+def is_landscape(w, h):
+  return w > h
+
+
+def is_portrait(w, h):
+  return h > w
+
+
+def is_square(w, h):
+  return w == h
+
+
+class PointOfInterest:
+  def __init__(self, x, y, weight=1.0, size=10):
+    self.x = x
+    self.y = y
+    self.weight = weight
+    self.size = size
+
+  def bounding(self, size):
+    return [
+      self.x - size//2,
+      self.y - size//2,
+      self.x + size//2,
+      self.y + size//2
+    ]
+
+
+class Settings:
+  def __init__(self, crop_width=512, crop_height=512, corner_points_weight=0.5, entropy_points_weight=0.5, face_points_weight=0.5, annotate_image=False):
+    self.crop_width = crop_width
+    self.crop_height = crop_height
+    self.corner_points_weight = corner_points_weight
+    self.entropy_points_weight = entropy_points_weight
+    self.face_points_weight = entropy_points_weight
+    self.annotate_image = annotate_image
     self.destop_view_image = False
\ No newline at end of file

From 705bbf327f54e26facc833ddf620425453358dbc Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Sun, 23 Oct 2022 22:37:40 +0900
Subject: [PATCH 080/321] Rename ko-KR.json to ko_KR.json

---
 localizations/{ko-KR.json => ko_KR.json} | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
 rename localizations/{ko-KR.json => ko_KR.json} (98%)

diff --git a/localizations/ko-KR.json b/localizations/ko_KR.json
similarity index 98%
rename from localizations/ko-KR.json
rename to localizations/ko_KR.json
index 7cc431c6..f665042e 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko_KR.json
@@ -419,4 +419,4 @@
   "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
   "view": "api 보이기",
   "wiki": "wiki"
-}
\ No newline at end of file
+}

From c729cd41303ee258e1fbca9d0dcf9e54c7f6993f Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Sun, 23 Oct 2022 22:38:49 +0900
Subject: [PATCH 081/321] Update ko_KR.json

Updated translation for everything except the Settings tab
---
 localizations/ko_KR.json | 381 ++++++++++++++++++++++-----------------
 1 file changed, 219 insertions(+), 162 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index f665042e..a48ece87 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -5,118 +5,158 @@
   "❮": "❮",
   "❯": "❯",
   "⤡": "⤡",
+  " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
+  " images during ": "개의 이미지를 불러왔고, 생성 기간은 ",
+  ", divided into ": "입니다. ",
+  " pages": "페이지로 나뉘어 표시합니다.",
   "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
-  "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
-  "A merger of the two checkpoints will be generated in your": "A merger of the two checkpoints will be generated in your",
+  "[wiki]": " [위키] 참조",
+  "A directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리를 선택해 주세요.",
+  "A merger of the two checkpoints will be generated in your": "체크포인트들이 병합된 결과물이 당신의",
   "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
   "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
   "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
-  "Add difference": "Add difference",
+  "Add difference": "차이점 추가",
   "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
-  "Add layer normalization": "Add layer normalization",
+  "Add layer normalization": "레이어 정규화(normalization) 추가",
   "Add model hash to generation information": "Add model hash to generation information",
   "Add model name to generation information": "Add model name to generation information",
+  "Aesthetic imgs embedding": "스타일 이미지 임베딩",
+  "Aesthetic learning rate": "스타일 학습 수",
+  "Aesthetic steps": "스타일 스텝 수",
+  "Aesthetic text for imgs": "스타일 텍스트",
+  "Aesthetic weight": "스타일 가중치",
   "Always print all generation info to standard output": "Always print all generation info to standard output",
   "Always save all generated image grids": "Always save all generated image grids",
   "Always save all generated images": "생성된 이미지 항상 저장하기",
+  "api": "",
+  "append": "뒤에 삽입",
   "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
-  "BSRGAN 4x": "BSRGAN 4x",
-  "Batch Process": "Batch Process",
   "Batch count": "배치 수",
-  "Batch from Directory": "Batch from Directory",
+  "Batch from Directory": "저장 경로로부터 여러장 처리",
   "Batch img2img": "이미지→이미지 배치",
+  "Batch Process": "이미지 여러장 처리",
   "Batch size": "배치 크기",
-  "CFG Scale": "CFG 스케일",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "BSRGAN 4x": "BSRGAN 4x",
+  "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
-  "Check progress (first)": "Check progress (first)",
+  "CFG Scale": "CFG 스케일",
   "Check progress": "Check progress",
+  "Check progress (first)": "Check progress (first)",
+  "checkpoint": " 체크포인트 ",
   "Checkpoint Merger": "체크포인트 병합",
   "Checkpoint name": "체크포인트 이름",
   "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
   "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Click to Upload": "Click to Upload",
   "Clip skip": "클립 건너뛰기",
-  "CodeFormer visibility": "CodeFormer visibility",
-  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "CodeFormer visibility": "CodeFormer 가시성",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
   "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
   "Color variation": "색깔 다양성",
+  "Collect": "즐겨찾기",
+  "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
-  "Create embedding": "Create embedding",
-  "Create flipped copies": "Create flipped copies",
-  "Create hypernetwork": "Create hypernetwork",
+  "Create aesthetic images embedding": "Create aesthetic images embedding",
+  "Create embedding": "임베딩 생성",
+  "Create flipped copies": "좌우로 뒤집은 복사본 생성",
+  "Create hypernetwork": "하이퍼네트워크 생성",
+  "Create images embedding": "Create images embedding",
   "Crop and resize": "잘라낸 후 리사이징",
-  "Crop to fit": "Crop to fit",
-  "Custom Name (Optional)": "Custom Name (Optional)",
+  "Crop to fit": "잘라내서 맞추기",
+  "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
+  "Dataset directory": "데이터셋 경로",
   "DDIM": "DDIM",
-  "DPM adaptive": "DPM adaptive",
-  "DPM fast": "DPM fast",
-  "DPM2 Karras": "DPM2 Karras",
-  "DPM2 a Karras": "DPM2 a Karras",
-  "DPM2 a": "DPM2 a",
-  "DPM2": "DPM2",
-  "Dataset directory": "Dataset directory",
   "Decode CFG scale": "디코딩 CFG 스케일",
   "Decode steps": "디코딩 스텝 수",
-  "Delete": "Delete",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
-  "Denoising strength change factor": "디노이즈 강도 변경 배수",
-  "Denoising strength": "디노이즈 강도",
+  "Delete": "삭제",
   "Denoising": "디노이징",
-  "Destination directory": "Destination directory",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Denoising strength": "디노이즈 강도",
+  "Denoising strength change factor": "디노이즈 강도 변경 배수",
+  "Destination directory": "결과물 저장 경로",
   "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
   "Directory for saving images using the Save button": "Directory for saving images using the Save button",
   "Directory name pattern": "Directory name pattern",
+  "directory.": "저장 경로에 저장됩니다.",
   "Do not add watermark to images": "Do not add watermark to images",
   "Do not do anything special": "아무것도 하지 않기",
   "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
   "Do not show any images in results for web": "Do not show any images in results for web",
+  "down": "아래쪽",
   "Download localization template": "Download localization template",
+  "Download": "다운로드",
+  "DPM adaptive": "DPM adaptive",
+  "DPM fast": "DPM fast",
+  "DPM2": "DPM2",
+  "DPM2 a": "DPM2 a",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DPM2 Karras": "DPM2 Karras",
   "Draw legend": "범례 그리기",
   "Draw mask": "마스크 직접 그리기",
   "Drop File Here": "Drop File Here",
   "Drop Image Here": "Drop Image Here",
-  "ESRGAN_4x": "ESRGAN_4x",
-  "Embedding": "Embedding",
+  "Embedding": "임베딩",
+  "Embedding Learning rate": "임베딩 학습률",
   "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
   "Enable full page image viewer": "Enable full page image viewer",
   "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
-  "End Page": "End Page",
-  "Enter hypernetwork layer structure": "Enter hypernetwork layer structure",
-  "Eta noise seed delta": "Eta noise seed delta",
+  "End Page": "마지막 페이지",
+  "Enter hypernetwork layer structure": "하이퍼네트워크 레이어 구조 입력",
+  "Error": "오류",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "ESRGAN_4x": "ESRGAN_4x",
   "Eta": "Eta",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
-  "Euler a": "Euler a",
+  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
+  "Eta noise seed delta": "Eta noise seed delta",
   "Euler": "Euler",
+  "Euler a": "Euler a",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
   "Extra": "고급",
   "Extras": "부가기능",
+  "extras history": "extras history",
   "Face restoration": "Face restoration",
   "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
-  "File Name": "File Name",
+  "favorites": "즐겨찾기",
+  "File": "File",
   "File format for grids": "File format for grids",
   "File format for images": "File format for images",
+  "File Name": "파일 이름",
   "File with inputs": "설정값 파일",
-  "File": "File",
   "Filename join string": "Filename join string",
   "Filename word regex": "Filename word regex",
+  "fill": "채우기",
+  "fill it with colors of the image": "이미지의 색상으로 채우기",
+  "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
+  "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
   "Filter NSFW content": "Filter NSFW content",
-  "First Page": "First Page",
+  "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
   "Font for image grids that have text": "Font for image grids that have text",
+  "for detailed explanation.": "를 참조하십시오.",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
-  "GFPGAN visibility": "GFPGAN visibility",
-  "Generate Info": "Generate Info",
-  "Generate forever": "반복 생성",
   "Generate": "생성",
+  "Generate forever": "반복 생성",
+  "Generate Info": "생성 정보",
+  "GFPGAN visibility": "GFPGAN 가시성",
   "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
   "Height": "세로",
   "Heun": "Heun",
+  "hide": "api 숨기기",
   "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
   "Highres. fix": "고해상도 보정",
   "History": "기록",
+  "Image Browser": "이미지 브라우저",
+  "Images directory": "이미지 경로",
+  "extras": "부가기능",
+  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
   "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
@@ -124,26 +164,32 @@
   "How much to blur the mask before processing, in pixels.": "이미지 생성 전 마스크를 얼마나 블러처리할지 결정하는 값. 픽셀 단위",
   "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
   "Hypernet str.": "하이퍼네트워크 강도",
-  "Hypernetwork strength": "Hypernetwork strength",
   "Hypernetwork": "하이퍼네트워크",
+  "Hypernetwork Learning rate": "하이퍼네트워크 학습률",
+  "Hypernetwork strength": "Hypernetwork strength",
   "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
   "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
   "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "ignore": "무시",
+  "Image": "Image",
   "Image for img2img": "Image for img2img",
   "Image for inpainting with mask": "Image for inpainting with mask",
-  "Image": "Image",
   "Images filename pattern": "Images filename pattern",
+  "img2img": "이미지→이미지",
+  "img2img alternative test": "이미지→이미지 대체버전 테스트",
+  "img2img DDIM discretize": "img2img DDIM discretize",
+  "img2img history": "img2img history",
   "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
   "Include Separate Images": "분리된 이미지 포함하기",
   "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
-  "Initialization text": "Initialization text",
-  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
+  "Initialization text": "초기화 텍스트",
+  "Inpaint": "인페인트",
   "Inpaint at full resolution": "전체 해상도로 인페인트하기",
+  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
-  "Inpaint": "인페인트",
   "Input directory": "인풋 이미지 경로",
-  "Interpolation Method": "Interpolation Method",
+  "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
   "Interrogate Options": "Interrogate Options",
@@ -156,49 +202,68 @@
   "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
   "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
   "Interrupt": "중단",
+  "Is negative text": "네거티브 텍스트일시 체크",
   "Just resize": "리사이징",
   "Keep -1 for seeds": "시드값 -1로 유지",
-  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
-  "LDSR": "LDSR",
-  "LMS Karras": "LMS Karras",
-  "LMS": "LMS",
+  "keep whatever was there originally": "이미지 원본 유지",
   "Label": "Label",
   "Lanczos": "Lanczos",
-  "Learning rate": "Learning rate",
-  "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
+  "Last prompt:": "Last prompt:",
+  "Last saved hypernetwork:": "Last saved hypernetwork:",
+  "Last saved image:": "Last saved image:",
+  "latent noise": "잠재 노이즈",
+  "latent nothing": "잠재 공백",
+  "LDSR": "LDSR",
+  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "leakyrelu": "leakyrelu",
+  "Leave blank to save images to the default path.": "기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
+  "left": "왼쪽",
+  "linear": "linear",
   "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "LMS": "LMS",
+  "LMS Karras": "LMS Karras",
+  "Load": "불러오기",
   "Loading...": "로딩 중...",
   "Localization (requires restart)": "Localization (requires restart)",
-  "Log directory": "Log directory",
+  "Log directory": "로그 경로",
   "Loopback": "루프백",
   "Loops": "루프 수",
+  "Loss:": "Loss:",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
   "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
   "Make Zip when Save?": "저장 시 Zip 생성하기",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Mask": "마스크",
   "Mask blur": "마스크 블러",
   "Mask mode": "Mask mode",
-  "Mask": "마스크",
   "Masked content": "마스크된 부분",
   "Masking mode": "Masking mode",
   "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
-  "Max steps": "Max steps",
-  "Modules": "Modules",
+  "Max steps": "최대 스텝 수",
+  "Modules": "모듈",
   "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
-  "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - set to 0 to get model A",
-  "Name": "Name",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
+  "Multiplier (M) - set to 0 to get model A": "배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
+  "Name": "이름",
   "Negative prompt": "네거티브 프롬프트",
-  "Next Page": "Next Page",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Next batch": "다음 묶음",
+  "Next Page": "다음 페이지",
   "None": "None",
   "Nothing": "없음",
+  "Nothing found in the image.": "Nothing found in the image.",
+  "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
-  "Number of vectors per token": "Number of vectors per token",
+  "Number of vectors per token": "토큰별 벡터 수",
+  "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
-  "Open output directory": "Open output directory",
+  "Open output directory": "저장 경로 열기",
+  "or": "or",
+  "original": "원본 유지",
   "Original negative prompt": "기존 네거티브 프롬프트",
   "Original prompt": "기존 프롬프트",
   "Outpainting direction": "아웃페인팅 방향",
   "Outpainting mk2": "아웃페인팅 마크 2",
+  "Output directory": "이미지 저장 경로",
   "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
   "Output directory for images from extras tab": "Output directory for images from extras tab",
   "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
@@ -206,46 +271,54 @@
   "Output directory for img2img images": "Output directory for img2img images",
   "Output directory for txt2img grids": "Output directory for txt2img grids",
   "Output directory for txt2img images": "Output directory for txt2img images",
-  "Output directory": "이미지 저장 경로",
   "Override `Denoising strength` to 1?": "디노이즈 강도를 1로 적용할까요?",
-  "Override `Sampling Steps` to the same value as `Decode steps`?": "샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
-  "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
   "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
-  "PLMS": "PLMS",
-  "PNG Info": "PNG 정보",
-  "Page Index": "Page Index",
+  "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
+  "Overwrite Old Embedding": "기존 임베딩 덮어쓰기",
+  "Overwrite Old Hypernetwork": "기존 하이퍼네트워크 덮어쓰기",
+  "Page Index": "페이지 인덱스",
+  "parameters": "설정값",
   "Path to directory where to write outputs": "Path to directory where to write outputs",
-  "Path to directory with input images": "Path to directory with input images",
+  "Path to directory with input images": "인풋 이미지가 있는 경로",
   "Paths for saving": "Paths for saving",
   "Pixels to expand": "확장할 픽셀 수",
+  "PLMS": "PLMS",
+  "PNG Info": "PNG 정보",
   "Poor man's outpainting": "가난뱅이의 아웃페인팅",
-  "Preprocess images": "Preprocess images",
-  "Preprocess": "Preprocess",
-  "Prev Page": "Prev Page",
+  "Preparing dataset from": "Preparing dataset from",
+  "prepend": "앞에 삽입",
+  "Preprocess": "전처리",
+  "Preprocess images": "이미지 전처리",
+  "Prev batch": "이전 묶음",
+  "Prev Page": "이전 페이지",
   "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
-  "Primary model (A)": "Primary model (A)",
+  "Primary model (A)": "주 모델 (A)",
   "Process an image, use it as an input, repeat.": "이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
   "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
   "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Prompt": "프롬프트",
   "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Prompt S/R": "프롬프트 스타일 변경",
   "Prompt matrix": "프롬프트 매트릭스",
   "Prompt order": "프롬프트 순서",
-  "Prompt template file": "Prompt template file",
-  "Prompt": "프롬프트",
-  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
+  "Prompt S/R": "프롬프트 스타일 변경",
+  "Prompt template file": "프롬프트 템플릿 파일 경로",
   "Prompts": "프롬프트",
+  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
   "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
+  "quad": "quad",
   "Quality for saved jpeg images": "Quality for saved jpeg images",
   "Quicksettings list": "Quicksettings list",
   "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
   "Randomness": "랜덤성",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
-  "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
   "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
   "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "relu": "relu",
   "Renew Page": "Renew Page",
   "Request browser notifications": "Request browser notifications",
+  "Resize": "리사이징 배수",
   "Resize and fill": "리사이징 후 채우기",
   "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
   "Resize mode": "Resize mode",
@@ -253,42 +326,43 @@
   "Resize seed from width": "시드 리사이징 세로길이",
   "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
   "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
-  "Resize": "Resize",
   "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
   "Restore faces": "얼굴 보정",
   "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
-  "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
-  "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+  "Result = A * (1 - M) + B * M": "결과물 = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "결과물 = A + (B - C) * M",
   "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
-  "Run": "Run",
-  "SD upscale": "SD 업스케일링",
-  "Sampler parameters": "Sampler parameters",
+  "right": "오른쪽",
+  "Run": "가동",
   "Sampler": "샘플러",
-  "Sampling Steps": "샘플링 스텝 수",
+  "Sampler parameters": "Sampler parameters",
   "Sampling method": "샘플링 방법",
-  "Save a copy of embedding to log directory every N steps, 0 to disable": "Save a copy of embedding to log directory every N steps, 0 to disable",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Save": "저장",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 임베딩을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
   "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
   "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
   "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
-  "Save an image to log directory every N steps, 0 to disable": "Save an image to log directory every N steps, 0 to disable",
-  "Save as float16": "Save as float16",
+  "Save an image to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 이미지를 저장합니다, 비활성화하려면 0으로 설정하십시오.",
+  "Save as float16": "float16으로 저장",
   "Save grids to a subdirectory": "Save grids to a subdirectory",
   "Save images to a subdirectory": "Save images to a subdirectory",
-  "Save images with embedding in PNG chunks": "Save images with embedding in PNG chunks",
+  "Save images with embedding in PNG chunks": "PNG 청크로 이미지에 임베딩을 포함시켜 저장",
   "Save style": "스타일 저장",
   "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
-  "Save": "저장",
   "Saving images/grids": "Saving images/grids",
   "Saving to a directory": "Saving to a directory",
-  "Scale by": "Scale by",
-  "Scale to": "Scale to",
+  "Scale by": "스케일링 배수 지정",
+  "Scale to": "스케일링 사이즈 지정",
   "Script": "스크립트",
   "ScuNET GAN": "ScuNET GAN",
   "ScuNET PSNR": "ScuNET PSNR",
-  "Secondary model (B)": "Secondary model (B)",
-  "See": "See",
-  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "SD upscale": "SD 업스케일링",
+  "Secondary model (B)": "2차 모델 (B)",
+  "See": "자세한 설명은",
   "Seed": "시드",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
@@ -297,26 +371,36 @@
   "Separate values for X axis using commas.": "쉼표로 X축에 적용할 값 분리",
   "Separate values for Y axis using commas.": "쉼표로 Y축에 적용할 값 분리",
   "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "set_index": "set_index",
   "Settings": "설정",
-  "Show Textbox": "텍스트박스 보이기",
+  "should be 2 or lower.": "이 2 이하여야 합니다.",
   "Show generation progress in window title.": "Show generation progress in window title.",
   "Show grid in results for web": "Show grid in results for web",
   "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
   "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
   "Show progressbar": "Show progressbar",
-  "Show result images": "Show result images",
-  "Sigma Churn": "시그마 섞기",
+  "Show result images": "이미지 결과 보이기",
+  "Show Textbox": "텍스트박스 보이기",
   "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
+  "Sigma Churn": "시그마 섞기",
+  "sigma churn": "sigma churn",
   "Sigma max": "시그마 최댓값",
   "Sigma min": "시그마 최솟값",
   "Sigma noise": "시그마 노이즈",
-  "Single Image": "Single Image",
+  "sigma noise": "sigma noise",
+  "sigma tmin": "sigma tmin",
+  "Single Image": "단일 이미지",
   "Skip": "건너뛰기",
-  "Source directory": "Source directory",
-  "Source": "Source",
-  "Split oversized images into two": "Split oversized images into two",
-  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Slerp angle": "구면 선형 보간 각도",
+  "Slerp interpolation": "구면 선형 보간",
+  "Source": "원본",
+  "Source directory": "원본 경로",
+  "Split image threshold": "Split image threshold",
+  "Split image overlap ratio": "Split image overlap ratio",
+  "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Step:": "Step:",
   "Steps": "스텝 수",
   "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
   "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
@@ -325,51 +409,65 @@
   "Style 2": "스타일 2",
   "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
   "SwinIR 4x": "SwinIR 4x",
+  "Sys VRAM:": "시스템 VRAM : ",
   "System": "System",
-  "Tertiary model (C)": "Tertiary model (C)",
+  "Tertiary model (C)": "3차 모델 (C)",
   "Textbox": "Textbox",
   "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
   "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "This text is used to rotate the feature space of the imgs embs": "이 텍스트는 이미지 임베딩의 특징 공간을 회전하는 데 사용됩니다.",
+  "Tile overlap": "타일 겹침",
   "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
   "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
-  "Tile overlap": "타일 겹침",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
   "Tile size for all SwinIR.": "Tile size for all SwinIR.",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
   "Tiling": "타일링",
-  "Train Embedding": "Train Embedding",
-  "Train Hypernetwork": "Train Hypernetwork",
-  "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Train an embedding; must specify a directory with a set of 1:1 ratio images",
+  "Time taken:": "소요 시간 : ",
+  "Torch active/reserved:": "활성화/예약된 Torch 양 : ",
+  "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).": "활성화된 Torch : 생성 도중 캐시된 데이터를 포함해 사용된 VRAM의 최대량\n예약된 Torch : 활성화되고 캐시된 모든 데이터를 포함해 Torch에게 할당된 VRAM의 최대량\n시스템 VRAM : 모든 어플리케이션에 할당된 VRAM 최대량 / 총 GPU VRAM (최고 이용도%)",
   "Train": "훈련",
+  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "임베딩이나 하이퍼네트워크를 훈련시킵니다. 1:1 비율의 이미지가 있는 경로를 지정해야 합니다.",
+  "Train Embedding": "임베딩 훈련",
+  "Train Hypernetwork": "하이퍼네트워크 훈련",
   "Training": "Training",
-  "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
+  "txt2img": "텍스트→이미지",
+  "txt2img history": "txt2img history",
+  "uniform": "uniform",
+  "up": "위쪽",
   "Upload mask": "마스크 업로드하기",
   "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
   "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
-  "Upscaler 2 visibility": "Upscaler 2 visibility",
-  "Upscaler for img2img": "Upscaler for img2img",
   "Upscaler": "업스케일러",
+  "Upscaler 1": "업스케일러 1",
+  "Upscaler 2": "업스케일러 2",
+  "Upscaler 2 visibility": "업스케일러 2 가시성",
+  "Upscaler for img2img": "Upscaler for img2img",
   "Upscaling": "Upscaling",
-  "Use BLIP for caption": "Use BLIP for caption",
   "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
-  "Use deepbooru for caption": "Use deepbooru for caption",
+  "Use BLIP for caption": "캡션에 BLIP 사용",
+  "Use deepbooru for caption": "캡션에 deepbooru 사용",
+  "Use dropout": "드롭아웃 사용",
   "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
   "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
   "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
   "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
+  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
   "User interface": "User interface",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
   "Var. seed": "바리에이션 시드",
   "Var. strength": "바리에이션 강도",
   "Variation seed": "바리에이션 시드",
   "Variation strength": "바리에이션 강도",
-  "Weighted sum": "Weighted sum",
+  "view": "api 보이기",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+  "Weighted sum": "가중 합",
   "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
   "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
   "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
   "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
   "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
   "Width": "가로",
+  "wiki": " 위키",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
   "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
@@ -377,46 +475,5 @@
   "X values": "X 설정값",
   "X/Y plot": "X/Y 플롯",
   "Y type": "Y축",
-  "Y values": "Y 설정값",
-  "api": "",
-  "built with gradio": "gradio로 제작되었습니다",
-  "checkpoint": "checkpoint",
-  "directory.": "directory.",
-  "down": "아래쪽",
-  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
-  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
-  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
-  "extras history": "extras history",
-  "fill it with colors of the image": "이미지의 색상으로 채우기",
-  "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
-  "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
-  "fill": "채우기",
-  "for detailed explanation.": "for detailed explanation.",
-  "hide": "api 숨기기",
-  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
-  "img2img DDIM discretize": "img2img DDIM discretize",
-  "img2img alternative test": "이미지→이미지 대체버전 테스트",
-  "img2img history": "img2img history",
-  "img2img": "이미지→이미지",
-  "keep whatever was there originally": "이미지 원본 유지",
-  "latent noise": "잠재 노이즈",
-  "latent nothing": "잠재 공백",
-  "left": "왼쪽",
-  "number of images to delete consecutively next": "number of images to delete consecutively next",
-  "or": "or",
-  "original": "원본 유지",
-  "quad": "quad",
-  "right": "오른쪽",
-  "set_index": "set_index",
-  "should be 2 or lower.": "이 2 이하여야 합니다.",
-  "sigma churn": "sigma churn",
-  "sigma noise": "sigma noise",
-  "sigma tmin": "sigma tmin",
-  "txt2img history": "txt2img history",
-  "txt2img": "텍스트→이미지",
-  "uniform": "uniform",
-  "up": "위쪽",
-  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
-  "view": "api 보이기",
-  "wiki": "wiki"
-}
+  "Y values": "Y 설정값"
+}
\ No newline at end of file

From 0523704dade0508bf3ae0c8cb799b1ae332d449b Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sun, 23 Oct 2022 12:27:50 -0300
Subject: [PATCH 082/321] Update run_extras to use the temp filename

In batch mode run_extras tries to preserve the original file name of the
images. The problem is that this makes no sense since the user only gets
a list of images in the UI, trying to manually save them shows that this
images have random temp names. Also, trying to keep "orig_name" in the
API is a hassle that adds complexity to the consuming UI since the
client has to use (or emulate) an input (type=file) element in a form.
Using the normal file name not only doesn't change the output and
functionality in the original UI but also helps keep the API simple.
---
 modules/extras.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/extras.py b/modules/extras.py
index 22c5a1c1..29ac312e 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -33,7 +33,7 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
         for img in image_folder:
             image = Image.open(img)
             imageArr.append(image)
-            imageNameArr.append(os.path.splitext(img.orig_name)[0])
+            imageNameArr.append(os.path.splitext(img.name)[0])
     elif extras_mode == 2:
         assert not shared.cmd_opts.hide_ui_dir_config, '--hide-ui-dir-config option must be disabled'
 

From 4ff852ffb50859f2eae75375cab94dd790a46886 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sun, 23 Oct 2022 13:07:59 -0300
Subject: [PATCH 083/321] Add batch processing "extras" endpoint

---
 modules/api/api.py    | 25 +++++++++++++++++++++++--
 modules/api/models.py | 15 ++++++++++++++-
 2 files changed, 37 insertions(+), 3 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 3b804373..528134a8 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -10,6 +10,7 @@ import base64
 from modules.api.models import *
 from PIL import Image
 from modules.extras import run_extras
+from gradio import processing_utils
 
 def upscaler_to_index(name: str):
     try:
@@ -44,6 +45,7 @@ class Api:
         self.queue_lock = queue_lock
         self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"], response_model=TextToImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
+        self.app.add_api_route("/sdapi/v1/extra-batch-image", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionProcessingAPI ):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -78,12 +80,31 @@ class Api:
         reqDict.pop('upscaler_1')
         reqDict.pop('upscaler_2')
 
-        reqDict['image'] = base64_to_images([reqDict['image']])[0]
+        reqDict['image'] = processing_utils.decode_base64_to_file(reqDict['image'])
 
         with self.queue_lock:
             result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=0, image_folder="", input_dir="", output_dir="")
 
-        return ExtrasSingleImageResponse(image="data:image/png;base64,"+img_to_base64(result[0]), html_info_x=result[1], html_info=result[2])
+        return ExtrasSingleImageResponse(image=processing_utils.encode_pil_to_base64(result[0]), html_info_x=result[1], html_info=result[2])
+
+    def extras_batch_images_api(self, req: ExtrasBatchImagesRequest):
+        upscaler1Index = upscaler_to_index(req.upscaler_1)
+        upscaler2Index = upscaler_to_index(req.upscaler_2)
+
+        reqDict = vars(req)
+        reqDict.pop('upscaler_1')
+        reqDict.pop('upscaler_2')
+
+        reqDict['image_folder'] = list(map(processing_utils.decode_base64_to_file, reqDict['imageList']))
+        reqDict.pop('imageList')
+
+        with self.queue_lock:
+            result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=1, image="", input_dir="", output_dir="")
+
+        return ExtrasBatchImagesResponse(images=list(map(processing_utils.encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])
+    
+    def extras_folder_processing_api(self):
+        raise NotImplementedError
 
     def pnginfoapi(self):
         raise NotImplementedError
diff --git a/modules/api/models.py b/modules/api/models.py
index dcf1ab54..bbd0ef53 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -29,4 +29,17 @@ class ExtrasSingleImageRequest(ExtrasBaseRequest):
     image: str = Field(default="", title="Image", description="Image to work on, must be a Base64 string containing the image's data.")
 
 class ExtrasSingleImageResponse(ExtraBaseResponse):
-    image: str = Field(default=None, title="Image", description="The generated image in base64 format.")
\ No newline at end of file
+    image: str = Field(default=None, title="Image", description="The generated image in base64 format.")
+
+class SerializableImage(BaseModel):
+  path: str = Field(title="Path", description="The image's path ()")
+
+class ImageItem(BaseModel):
+    data: str = Field(title="image data")
+    name: str = Field(title="filename")
+
+class ExtrasBatchImagesRequest(ExtrasBaseRequest):
+    imageList: list[str] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
+
+class ExtrasBatchImagesResponse(ExtraBaseResponse):
+    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
\ No newline at end of file

From e0ca4dfbc10e0af8dfc4185e5e758f33fd2f0d81 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sun, 23 Oct 2022 15:13:37 -0300
Subject: [PATCH 084/321] Update endpoints to use gradio's own utils functions

---
 modules/api/api.py    | 71 +++++++++++++++++++++----------------------
 modules/api/models.py |  4 +--
 2 files changed, 36 insertions(+), 39 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 3f490ce2..3acb1f36 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -20,27 +20,27 @@ def upscaler_to_index(name: str):
 
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
-def img_to_base64(img: str):
-    buffer = io.BytesIO()
-    img.save(buffer, format="png")
-    return base64.b64encode(buffer.getvalue())
+# def img_to_base64(img: str):
+#     buffer = io.BytesIO()
+#     img.save(buffer, format="png")
+#     return base64.b64encode(buffer.getvalue())
 
-def base64_to_bytes(base64Img: str):
-    if "," in base64Img:
-        base64Img = base64Img.split(",")[1]
-    return io.BytesIO(base64.b64decode(base64Img))
+# def base64_to_bytes(base64Img: str):
+#     if "," in base64Img:
+#         base64Img = base64Img.split(",")[1]
+#     return io.BytesIO(base64.b64decode(base64Img))
 
-def base64_to_images(base64Imgs: list[str]):
-    imgs = []
-    for img in base64Imgs:
-        img = Image.open(base64_to_bytes(img))
-        imgs.append(img)
-    return imgs
+# def base64_to_images(base64Imgs: list[str]):
+#     imgs = []
+#     for img in base64Imgs:
+#         img = Image.open(base64_to_bytes(img))
+#         imgs.append(img)
+#     return imgs
 
 class ImageToImageResponse(BaseModel):
     images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-    parameters: Json
-    info: Json
+    parameters: dict
+    info: str
 
 
 class Api:
@@ -49,17 +49,17 @@ class Api:
         self.app = app
         self.queue_lock = queue_lock
         self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"], response_model=TextToImageResponse)
-        self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"])
+        self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-batch-image", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
 
-    def __base64_to_image(self, base64_string):
-        # if has a comma, deal with prefix
-        if "," in base64_string:
-            base64_string = base64_string.split(",")[1]
-        imgdata = base64.b64decode(base64_string)
-        # convert base64 to PIL image
-        return Image.open(io.BytesIO(imgdata))
+    # def __base64_to_image(self, base64_string):
+    #     # if has a comma, deal with prefix
+    #     if "," in base64_string:
+    #         base64_string = base64_string.split(",")[1]
+    #     imgdata = base64.b64decode(base64_string)
+    #     # convert base64 to PIL image
+    #     return Image.open(io.BytesIO(imgdata))
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -79,11 +79,9 @@ class Api:
         with self.queue_lock:
             processed = process_images(p)
         
-        b64images = list(map(img_to_base64, processed.images))
-
-        return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
-        
+        b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))
         
+        return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=processed.info)
 
     def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI):
         sampler_index = sampler_to_index(img2imgreq.sampler_index)
@@ -98,7 +96,7 @@ class Api:
 
         mask = img2imgreq.mask
         if mask:
-            mask = self.__base64_to_image(mask)
+            mask = processing_utils.decode_base64_to_image(mask)
 
         
         populate = img2imgreq.copy(update={ # Override __init__ params
@@ -113,7 +111,7 @@ class Api:
 
         imgs = []
         for img in init_images:
-            img = self.__base64_to_image(img)
+            img = processing_utils.decode_base64_to_image(img)
             imgs = [img] * p.batch_size
 
         p.init_images = imgs
@@ -121,13 +119,12 @@ class Api:
         with self.queue_lock:
             processed = process_images(p)
         
-        b64images = []
-        for i in processed.images:
-            buffer = io.BytesIO()
-            i.save(buffer, format="png")
-            b64images.append(base64.b64encode(buffer.getvalue()))
-
-        return ImageToImageResponse(images=b64images, parameters=json.dumps(vars(img2imgreq)), info=json.dumps(processed.info))
+        b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))
+        # for i in processed.images:
+        #     buffer = io.BytesIO()
+        #     i.save(buffer, format="png")
+        #     b64images.append(base64.b64encode(buffer.getvalue()))
+        return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.info)
 
     def extras_single_image_api(self, req: ExtrasSingleImageRequest):
         upscaler1Index = upscaler_to_index(req.upscaler_1)
diff --git a/modules/api/models.py b/modules/api/models.py
index bbd0ef53..209f8af5 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -4,8 +4,8 @@ from modules.shared import sd_upscalers
 
 class TextToImageResponse(BaseModel):
     images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-    parameters: Json
-    info: Json
+    parameters: str
+    info: str
 
 class ExtrasBaseRequest(BaseModel):
     resize_mode: Literal[0, 1] = Field(default=0, title="Resize Mode", description="Sets the resize mode: 0 to upscale by upscaling_resize amount, 1 to upscale up to upscaling_resize_h x upscaling_resize_w.")

From 866b36d705a338d299aba385788729d60f7d48c8 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sun, 23 Oct 2022 15:35:49 -0300
Subject: [PATCH 085/321] Move processing's models into models.py

It didn't make sense to have two differente files for the same and
"models" is a more descriptive name.
---
 modules/api/api.py        |  59 ++++----------------
 modules/api/models.py     | 112 +++++++++++++++++++++++++++++++++++++-
 modules/api/processing.py | 106 ------------------------------------
 3 files changed, 120 insertions(+), 157 deletions(-)
 delete mode 100644 modules/api/processing.py

diff --git a/modules/api/api.py b/modules/api/api.py
index 3acb1f36..20e85e82 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,16 +1,11 @@
-from modules.api.processing import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
+import uvicorn
+from gradio import processing_utils
+from fastapi import APIRouter, HTTPException
+import modules.shared as shared
+from modules.api.models import *
 from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.sd_samplers import all_samplers
-import modules.shared as shared
-import uvicorn
-from fastapi import APIRouter, HTTPException
-import json
-import io
-import base64
-from modules.api.models import *
-from PIL import Image
 from modules.extras import run_extras
-from gradio import processing_utils
 
 def upscaler_to_index(name: str):
     try:
@@ -20,29 +15,6 @@ def upscaler_to_index(name: str):
 
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
-# def img_to_base64(img: str):
-#     buffer = io.BytesIO()
-#     img.save(buffer, format="png")
-#     return base64.b64encode(buffer.getvalue())
-
-# def base64_to_bytes(base64Img: str):
-#     if "," in base64Img:
-#         base64Img = base64Img.split(",")[1]
-#     return io.BytesIO(base64.b64decode(base64Img))
-
-# def base64_to_images(base64Imgs: list[str]):
-#     imgs = []
-#     for img in base64Imgs:
-#         img = Image.open(base64_to_bytes(img))
-#         imgs.append(img)
-#     return imgs
-
-class ImageToImageResponse(BaseModel):
-    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-    parameters: dict
-    info: str
-
-
 class Api:
     def __init__(self, app, queue_lock):
         self.router = APIRouter()
@@ -51,15 +23,7 @@ class Api:
         self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"], response_model=TextToImageResponse)
         self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
-        self.app.add_api_route("/sdapi/v1/extra-batch-image", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
-
-    # def __base64_to_image(self, base64_string):
-    #     # if has a comma, deal with prefix
-    #     if "," in base64_string:
-    #         base64_string = base64_string.split(",")[1]
-    #     imgdata = base64.b64decode(base64_string)
-    #     # convert base64 to PIL image
-    #     return Image.open(io.BytesIO(imgdata))
+        self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -81,7 +45,7 @@ class Api:
         
         b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))
         
-        return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=processed.info)
+        return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.info)
 
     def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI):
         sampler_index = sampler_to_index(img2imgreq.sampler_index)
@@ -120,10 +84,7 @@ class Api:
             processed = process_images(p)
         
         b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))
-        # for i in processed.images:
-        #     buffer = io.BytesIO()
-        #     i.save(buffer, format="png")
-        #     b64images.append(base64.b64encode(buffer.getvalue()))
+       
         return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.info)
 
     def extras_single_image_api(self, req: ExtrasSingleImageRequest):
@@ -134,12 +95,12 @@ class Api:
         reqDict.pop('upscaler_1')
         reqDict.pop('upscaler_2')
 
-        reqDict['image'] = processing_utils.decode_base64_to_file(reqDict['image'])
+        reqDict['image'] = processing_utils.decode_base64_to_image(reqDict['image'])
 
         with self.queue_lock:
             result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=0, image_folder="", input_dir="", output_dir="")
 
-        return ExtrasSingleImageResponse(image=processing_utils.encode_pil_to_base64(result[0]), html_info_x=result[1], html_info=result[2])
+        return ExtrasSingleImageResponse(image=processing_utils.encode_pil_to_base64(result[0][0]), html_info_x=result[1], html_info=result[2])
 
     def extras_batch_images_api(self, req: ExtrasBatchImagesRequest):
         upscaler1Index = upscaler_to_index(req.upscaler_1)
diff --git a/modules/api/models.py b/modules/api/models.py
index 209f8af5..362e6277 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -1,10 +1,118 @@
-from pydantic import BaseModel, Field, Json
+import inspect
+from pydantic import BaseModel, Field, Json, create_model
+from typing import Any, Optional
 from typing_extensions import Literal
+from inflection import underscore
+from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img
 from modules.shared import sd_upscalers
 
+API_NOT_ALLOWED = [
+    "self",
+    "kwargs",
+    "sd_model",
+    "outpath_samples",
+    "outpath_grids",
+    "sampler_index",
+    "do_not_save_samples",
+    "do_not_save_grid",
+    "extra_generation_params",
+    "overlay_images",
+    "do_not_reload_embeddings",
+    "seed_enable_extras",
+    "prompt_for_display",
+    "sampler_noise_scheduler_override",
+    "ddim_discretize"
+]
+
+class ModelDef(BaseModel):
+    """Assistance Class for Pydantic Dynamic Model Generation"""
+
+    field: str
+    field_alias: str
+    field_type: Any
+    field_value: Any
+
+
+class PydanticModelGenerator:
+    """
+    Takes in created classes and stubs them out in a way FastAPI/Pydantic is happy about:
+    source_data is a snapshot of the default values produced by the class
+    params are the names of the actual keys required by __init__
+    """
+
+    def __init__(
+        self,
+        model_name: str = None,
+        class_instance = None,
+        additional_fields = None,
+    ):
+        def field_type_generator(k, v):
+            # field_type = str if not overrides.get(k) else overrides[k]["type"]
+            # print(k, v.annotation, v.default)
+            field_type = v.annotation
+            
+            return Optional[field_type]
+        
+        def merge_class_params(class_):
+            all_classes = list(filter(lambda x: x is not object, inspect.getmro(class_)))
+            parameters = {}
+            for classes in all_classes:
+                parameters = {**parameters, **inspect.signature(classes.__init__).parameters}
+            return parameters
+            
+                
+        self._model_name = model_name
+        self._class_data = merge_class_params(class_instance)
+        self._model_def = [
+            ModelDef(
+                field=underscore(k),
+                field_alias=k,
+                field_type=field_type_generator(k, v),
+                field_value=v.default
+            )
+            for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
+        ]
+        
+        for fields in additional_fields:
+            self._model_def.append(ModelDef(
+                field=underscore(fields["key"]), 
+                field_alias=fields["key"], 
+                field_type=fields["type"],
+                field_value=fields["default"]))
+
+    def generate_model(self):
+        """
+        Creates a pydantic BaseModel
+        from the json and overrides provided at initialization
+        """
+        fields = {
+            d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias)) for d in self._model_def
+        }
+        DynamicModel = create_model(self._model_name, **fields)
+        DynamicModel.__config__.allow_population_by_field_name = True
+        DynamicModel.__config__.allow_mutation = True
+        return DynamicModel
+    
+StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
+    "StableDiffusionProcessingTxt2Img", 
+    StableDiffusionProcessingTxt2Img,
+    [{"key": "sampler_index", "type": str, "default": "Euler"}]
+).generate_model()
+
+StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
+    "StableDiffusionProcessingImg2Img", 
+    StableDiffusionProcessingImg2Img,
+    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
+).generate_model()
+
 class TextToImageResponse(BaseModel):
     images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-    parameters: str
+    parameters: dict
+    info: str
+
+class ImageToImageResponse(BaseModel):
+    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
+    parameters: dict
     info: str
 
 class ExtrasBaseRequest(BaseModel):
diff --git a/modules/api/processing.py b/modules/api/processing.py
deleted file mode 100644
index f551fa35..00000000
--- a/modules/api/processing.py
+++ /dev/null
@@ -1,106 +0,0 @@
-from array import array
-from inflection import underscore
-from typing import Any, Dict, Optional
-from pydantic import BaseModel, Field, create_model
-from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img
-import inspect
-
-
-API_NOT_ALLOWED = [
-    "self",
-    "kwargs",
-    "sd_model",
-    "outpath_samples",
-    "outpath_grids",
-    "sampler_index",
-    "do_not_save_samples",
-    "do_not_save_grid",
-    "extra_generation_params",
-    "overlay_images",
-    "do_not_reload_embeddings",
-    "seed_enable_extras",
-    "prompt_for_display",
-    "sampler_noise_scheduler_override",
-    "ddim_discretize"
-]
-
-class ModelDef(BaseModel):
-    """Assistance Class for Pydantic Dynamic Model Generation"""
-
-    field: str
-    field_alias: str
-    field_type: Any
-    field_value: Any
-
-
-class PydanticModelGenerator:
-    """
-    Takes in created classes and stubs them out in a way FastAPI/Pydantic is happy about:
-    source_data is a snapshot of the default values produced by the class
-    params are the names of the actual keys required by __init__
-    """
-
-    def __init__(
-        self,
-        model_name: str = None,
-        class_instance = None,
-        additional_fields = None,
-    ):
-        def field_type_generator(k, v):
-            # field_type = str if not overrides.get(k) else overrides[k]["type"]
-            # print(k, v.annotation, v.default)
-            field_type = v.annotation
-            
-            return Optional[field_type]
-        
-        def merge_class_params(class_):
-            all_classes = list(filter(lambda x: x is not object, inspect.getmro(class_)))
-            parameters = {}
-            for classes in all_classes:
-                parameters = {**parameters, **inspect.signature(classes.__init__).parameters}
-            return parameters
-            
-                
-        self._model_name = model_name
-        self._class_data = merge_class_params(class_instance)
-        self._model_def = [
-            ModelDef(
-                field=underscore(k),
-                field_alias=k,
-                field_type=field_type_generator(k, v),
-                field_value=v.default
-            )
-            for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
-        ]
-        
-        for fields in additional_fields:
-            self._model_def.append(ModelDef(
-                field=underscore(fields["key"]), 
-                field_alias=fields["key"], 
-                field_type=fields["type"],
-                field_value=fields["default"]))
-
-    def generate_model(self):
-        """
-        Creates a pydantic BaseModel
-        from the json and overrides provided at initialization
-        """
-        fields = {
-            d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias)) for d in self._model_def
-        }
-        DynamicModel = create_model(self._model_name, **fields)
-        DynamicModel.__config__.allow_population_by_field_name = True
-        DynamicModel.__config__.allow_mutation = True
-        return DynamicModel
-    
-StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
-    "StableDiffusionProcessingTxt2Img", 
-    StableDiffusionProcessingTxt2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}]
-).generate_model()
-
-StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
-    "StableDiffusionProcessingImg2Img", 
-    StableDiffusionProcessingImg2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
-).generate_model()
\ No newline at end of file

From 1e625624ba6ab3dfc167f0a5226780bb9b50fb58 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sun, 23 Oct 2022 16:01:16 -0300
Subject: [PATCH 086/321] Add folder processing endpoint

Also minor refactor
---
 modules/api/api.py    | 56 +++++++++++++++++++++++--------------------
 modules/api/models.py |  6 ++++-
 2 files changed, 35 insertions(+), 27 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 20e85e82..7b4fbe29 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,5 +1,5 @@
 import uvicorn
-from gradio import processing_utils
+from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image
 from fastapi import APIRouter, HTTPException
 import modules.shared as shared
 from modules.api.models import *
@@ -11,10 +11,18 @@ def upscaler_to_index(name: str):
     try:
         return [x.name.lower() for x in shared.sd_upscalers].index(name.lower())
     except:
-        raise HTTPException(status_code=400, detail="Upscaler not found")
+        raise HTTPException(status_code=400, detail=f"Invalid upscaler, needs to be on of these: {' , '.join([x.name for x in sd_upscalers])}")
 
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
+def setUpscalers(req: dict):
+    reqDict = vars(req)
+    reqDict['extras_upscaler_1'] = upscaler_to_index(req.upscaler_1)
+    reqDict['extras_upscaler_2'] = upscaler_to_index(req.upscaler_2)
+    reqDict.pop('upscaler_1')
+    reqDict.pop('upscaler_2')
+    return reqDict
+
 class Api:
     def __init__(self, app, queue_lock):
         self.router = APIRouter()
@@ -24,6 +32,7 @@ class Api:
         self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
+        self.app.add_api_route("/sdapi/v1/extra-folder-images", self.extras_folder_processing_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -43,7 +52,7 @@ class Api:
         with self.queue_lock:
             processed = process_images(p)
         
-        b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))
+        b64images = list(map(encode_pil_to_base64, processed.images))
         
         return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.info)
 
@@ -60,7 +69,7 @@ class Api:
 
         mask = img2imgreq.mask
         if mask:
-            mask = processing_utils.decode_base64_to_image(mask)
+            mask = decode_base64_to_image(mask)
 
         
         populate = img2imgreq.copy(update={ # Override __init__ params
@@ -75,7 +84,7 @@ class Api:
 
         imgs = []
         for img in init_images:
-            img = processing_utils.decode_base64_to_image(img)
+            img = decode_base64_to_image(img)
             imgs = [img] * p.batch_size
 
         p.init_images = imgs
@@ -83,43 +92,38 @@ class Api:
         with self.queue_lock:
             processed = process_images(p)
         
-        b64images = list(map(processing_utils.encode_pil_to_base64, processed.images))
+        b64images = list(map(encode_pil_to_base64, processed.images))
        
         return ImageToImageResponse(images=b64images, parameters=vars(img2imgreq), info=processed.info)
 
     def extras_single_image_api(self, req: ExtrasSingleImageRequest):
-        upscaler1Index = upscaler_to_index(req.upscaler_1)
-        upscaler2Index = upscaler_to_index(req.upscaler_2)
+        reqDict = setUpscalers(req)
 
-        reqDict = vars(req)
-        reqDict.pop('upscaler_1')
-        reqDict.pop('upscaler_2')
-
-        reqDict['image'] = processing_utils.decode_base64_to_image(reqDict['image'])
+        reqDict['image'] = decode_base64_to_image(reqDict['image'])
 
         with self.queue_lock:
-            result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=0, image_folder="", input_dir="", output_dir="")
+            result = run_extras(extras_mode=0, image_folder="", input_dir="", output_dir="", **reqDict)
 
-        return ExtrasSingleImageResponse(image=processing_utils.encode_pil_to_base64(result[0][0]), html_info_x=result[1], html_info=result[2])
+        return ExtrasSingleImageResponse(image=encode_pil_to_base64(result[0][0]), html_info_x=result[1], html_info=result[2])
 
     def extras_batch_images_api(self, req: ExtrasBatchImagesRequest):
-        upscaler1Index = upscaler_to_index(req.upscaler_1)
-        upscaler2Index = upscaler_to_index(req.upscaler_2)
+        reqDict = setUpscalers(req)
 
-        reqDict = vars(req)
-        reqDict.pop('upscaler_1')
-        reqDict.pop('upscaler_2')
-
-        reqDict['image_folder'] = list(map(processing_utils.decode_base64_to_file, reqDict['imageList']))
+        reqDict['image_folder'] = list(map(decode_base64_to_file, reqDict['imageList']))
         reqDict.pop('imageList')
 
         with self.queue_lock:
-            result = run_extras(**reqDict, extras_upscaler_1=upscaler1Index, extras_upscaler_2=upscaler2Index, extras_mode=1, image="", input_dir="", output_dir="")
+            result = run_extras(extras_mode=1, image="", input_dir="", output_dir="", **reqDict)
 
-        return ExtrasBatchImagesResponse(images=list(map(processing_utils.encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])
+        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])
     
-    def extras_folder_processing_api(self):
-        raise NotImplementedError
+    def extras_folder_processing_api(self, req:ExtrasFoldersRequest):
+        reqDict = setUpscalers(req)
+
+        with self.queue_lock:
+            result = run_extras(extras_mode=2, image=None, image_folder=None, **reqDict)
+
+        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])
 
     def pnginfoapi(self):
         raise NotImplementedError
diff --git a/modules/api/models.py b/modules/api/models.py
index 362e6277..6f096807 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -150,4 +150,8 @@ class ExtrasBatchImagesRequest(ExtrasBaseRequest):
     imageList: list[str] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
 
 class ExtrasBatchImagesResponse(ExtraBaseResponse):
-    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
\ No newline at end of file
+    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
+
+class ExtrasFoldersRequest(ExtrasBaseRequest):
+    input_dir: str = Field(title="Input directory", description="Directory path from where to take the images")
+    output_dir: str = Field(title="Output directory", description="Directory path to put the processsed images into")

From 90f02c75220d187e075203a4e3b450bfba392c4d Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sun, 23 Oct 2022 16:03:30 -0300
Subject: [PATCH 087/321] Remove unused field and class

---
 modules/api/api.py    | 6 +++---
 modules/api/models.py | 6 +-----
 2 files changed, 4 insertions(+), 8 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 7b4fbe29..799e3701 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -104,7 +104,7 @@ class Api:
         with self.queue_lock:
             result = run_extras(extras_mode=0, image_folder="", input_dir="", output_dir="", **reqDict)
 
-        return ExtrasSingleImageResponse(image=encode_pil_to_base64(result[0][0]), html_info_x=result[1], html_info=result[2])
+        return ExtrasSingleImageResponse(image=encode_pil_to_base64(result[0][0]), html_info=result[1])
 
     def extras_batch_images_api(self, req: ExtrasBatchImagesRequest):
         reqDict = setUpscalers(req)
@@ -115,7 +115,7 @@ class Api:
         with self.queue_lock:
             result = run_extras(extras_mode=1, image="", input_dir="", output_dir="", **reqDict)
 
-        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])
+        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
     
     def extras_folder_processing_api(self, req:ExtrasFoldersRequest):
         reqDict = setUpscalers(req)
@@ -123,7 +123,7 @@ class Api:
         with self.queue_lock:
             result = run_extras(extras_mode=2, image=None, image_folder=None, **reqDict)
 
-        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info_x=result[1], html_info=result[2])
+        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
 
     def pnginfoapi(self):
         raise NotImplementedError
diff --git a/modules/api/models.py b/modules/api/models.py
index 6f096807..e461d397 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -130,8 +130,7 @@ class ExtrasBaseRequest(BaseModel):
     extras_upscaler_2_visibility: float = Field(default=0, title="Secondary upscaler visibility", ge=0, le=1, allow_inf_nan=False, description="Sets the visibility of secondary upscaler, values should be between 0 and 1.")
 
 class ExtraBaseResponse(BaseModel):
-    html_info_x: str
-    html_info: str
+    html_info: str = Field(title="HTML info", description="A series of HTML tags containing the process info.")
 
 class ExtrasSingleImageRequest(ExtrasBaseRequest):
     image: str = Field(default="", title="Image", description="Image to work on, must be a Base64 string containing the image's data.")
@@ -139,9 +138,6 @@ class ExtrasSingleImageRequest(ExtrasBaseRequest):
 class ExtrasSingleImageResponse(ExtraBaseResponse):
     image: str = Field(default=None, title="Image", description="The generated image in base64 format.")
 
-class SerializableImage(BaseModel):
-  path: str = Field(title="Path", description="The image's path ()")
-
 class ImageItem(BaseModel):
     data: str = Field(title="image data")
     name: str = Field(title="filename")

From 6124575e1892259bf706db186de303acc9de47bf Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 24 Oct 2022 04:29:19 +0900
Subject: [PATCH 088/321] Translation complete

---
 localizations/ko_KR.json | 302 +++++++++++++++++++++------------------
 1 file changed, 160 insertions(+), 142 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index a48ece87..6889de46 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -15,23 +15,24 @@
   "A merger of the two checkpoints will be generated in your": "체크포인트들이 병합된 결과물이 당신의",
   "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
   "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
-  "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+  "Add a second progress bar to the console that shows progress for an entire job.": "콘솔에 전체 작업의 진행도를 보여주는 2번째 프로그레스 바 추가하기",
   "Add difference": "차이점 추가",
-  "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
+  "Add extended info (seed, prompt) to filename when saving grid": "그리드 저장 시 파일명에 추가 정보(시드, 프롬프트) 기입",
   "Add layer normalization": "레이어 정규화(normalization) 추가",
-  "Add model hash to generation information": "Add model hash to generation information",
-  "Add model name to generation information": "Add model name to generation information",
+  "Add model hash to generation information": "생성 정보에 모델 해시 추가",
+  "Add model name to generation information": "생성 정보에 모델 이름 추가",
   "Aesthetic imgs embedding": "스타일 이미지 임베딩",
   "Aesthetic learning rate": "스타일 학습 수",
   "Aesthetic steps": "스타일 스텝 수",
   "Aesthetic text for imgs": "스타일 텍스트",
   "Aesthetic weight": "스타일 가중치",
-  "Always print all generation info to standard output": "Always print all generation info to standard output",
-  "Always save all generated image grids": "Always save all generated image grids",
+  "Allowed categories for random artists selection when using the Roll button": "랜덤 버튼을 눌러 무작위 작가를 선택할 때 허용된 카테고리",
+  "Always print all generation info to standard output": "기본 아웃풋에 모든 생성 정보 항상 출력하기",
+  "Always save all generated image grids": "생성된 이미지 그리드 항상 저장하기",
   "Always save all generated images": "생성된 이미지 항상 저장하기",
   "api": "",
   "append": "뒤에 삽입",
-  "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
+  "Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
   "Batch count": "배치 수",
@@ -43,29 +44,29 @@
   "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
   "CFG Scale": "CFG 스케일",
-  "Check progress": "Check progress",
-  "Check progress (first)": "Check progress (first)",
+  "Check progress": "진행도 체크",
+  "Check progress (first)": "진행도 체크 (처음)",
   "checkpoint": " 체크포인트 ",
   "Checkpoint Merger": "체크포인트 병합",
   "Checkpoint name": "체크포인트 이름",
-  "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+  "Checkpoints to cache in RAM": "RAM에 캐싱할 체크포인트 수",
   "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
-  "Click to Upload": "Click to Upload",
+  "Click to Upload": "클릭해서 업로드하기",
   "Clip skip": "클립 건너뛰기",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP : 텍스트 파일 최대 라인 수 (0 = 제한 없음)",
   "CodeFormer visibility": "CodeFormer 가시성",
   "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
-  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 가중치 설정값 (0 = 최대 효과, 1 = 최소 효과)",
   "Color variation": "색깔 다양성",
   "Collect": "즐겨찾기",
   "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
-  "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
-  "Create aesthetic images embedding": "Create aesthetic images embedding",
+  "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
+  "Create aesthetic images embedding": "스타일 이미지 임베딩 생성하기",
   "Create embedding": "임베딩 생성",
   "Create flipped copies": "좌우로 뒤집은 복사본 생성",
   "Create hypernetwork": "하이퍼네트워크 생성",
-  "Create images embedding": "Create images embedding",
+  "Create images embedding": "이미지 임베딩 생성하기",
   "Crop and resize": "잘라낸 후 리사이징",
   "Crop to fit": "잘라내서 맞추기",
   "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
@@ -80,15 +81,15 @@
   "Denoising strength change factor": "디노이즈 강도 변경 배수",
   "Destination directory": "결과물 저장 경로",
   "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
-  "Directory for saving images using the Save button": "Directory for saving images using the Save button",
-  "Directory name pattern": "Directory name pattern",
+  "Directory for saving images using the Save button": "저장 버튼을 이용해 저장하는 이미지들의 저장 경로",
+  "Directory name pattern": "디렉토리명 패턴",
   "directory.": "저장 경로에 저장됩니다.",
-  "Do not add watermark to images": "Do not add watermark to images",
+  "Do not add watermark to images": "이미지에 워터마크 추가하지 않기",
   "Do not do anything special": "아무것도 하지 않기",
-  "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
-  "Do not show any images in results for web": "Do not show any images in results for web",
+  "Do not save grids consisting of one picture": "이미지가 1개뿐인 그리드는 저장하지 않기",
+  "Do not show any images in results for web": "웹에서 결과창에 아무 이미지도 보여주지 않기",
   "down": "아래쪽",
-  "Download localization template": "Download localization template",
+  "Download localization template": "현지화 템플릿 다운로드",
   "Download": "다운로드",
   "DPM adaptive": "DPM adaptive",
   "DPM fast": "DPM fast",
@@ -98,65 +99,67 @@
   "DPM2 Karras": "DPM2 Karras",
   "Draw legend": "범례 그리기",
   "Draw mask": "마스크 직접 그리기",
-  "Drop File Here": "Drop File Here",
-  "Drop Image Here": "Drop Image Here",
+  "Drop File Here": "파일을 끌어 놓으세요",
+  "Drop Image Here": "이미지를 끌어 놓으세요",
   "Embedding": "임베딩",
   "Embedding Learning rate": "임베딩 학습률",
-  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
-  "Enable full page image viewer": "Enable full page image viewer",
-  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "강조 : (텍스트)를 이용해 모델의 텍스트에 대한 가중치를 더 강하게 주고 [텍스트]를 이용해 더 약하게 줍니다.",
+  "Enable full page image viewer": "전체 페이지 이미지 뷰어 활성화",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "더 예리하고 깔끔한 결과물을 위해 K 샘플러들에 양자화를 적용합니다. 존재하는 시드가 변경될 수 있습니다. 재시작이 필요합니다.",
   "End Page": "마지막 페이지",
   "Enter hypernetwork layer structure": "하이퍼네트워크 레이어 구조 입력",
   "Error": "오류",
-  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooru에서 괄호를 역슬래시(\\)로 이스케이프 처리하기(가중치 강조가 아니라 실제 괄호로 사용되게 하기 위해)",
   "ESRGAN_4x": "ESRGAN_4x",
   "Eta": "Eta",
-  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
-  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
-  "Eta noise seed delta": "Eta noise seed delta",
+  "eta (noise multiplier) for ancestral samplers": "ancestral 샘플러를 위한 eta(노이즈 배수)값",
+  "eta (noise multiplier) for DDIM": "DDIM을 위한 eta(노이즈 배수)값",
+  "Eta noise seed delta": "Eta 노이즈 시드 변화",
   "Euler": "Euler",
   "Euler a": "Euler a",
   "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
   "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
   "Extra": "고급",
   "Extras": "부가기능",
-  "extras history": "extras history",
-  "Face restoration": "Face restoration",
+  "extras history": "부가기능 기록",
+  "Face restoration": "얼굴 보정",
+  "Face restoration model": "얼굴 보정 모델",
   "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
   "favorites": "즐겨찾기",
-  "File": "File",
-  "File format for grids": "File format for grids",
-  "File format for images": "File format for images",
+  "File": "파일",
+  "File format for grids": "그리드 이미지 파일 형식",
+  "File format for images": "이미지 파일 형식",
   "File Name": "파일 이름",
   "File with inputs": "설정값 파일",
-  "Filename join string": "Filename join string",
-  "Filename word regex": "Filename word regex",
+  "Filename join string": "파일명 병합 문자열",
+  "Filename word regex": "파일명 정규표현식",
   "fill": "채우기",
   "fill it with colors of the image": "이미지의 색상으로 채우기",
   "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
   "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
-  "Filter NSFW content": "Filter NSFW content",
+  "Filter NSFW content": "성인 컨텐츠 필터링하기",
   "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
-  "Font for image grids that have text": "Font for image grids that have text",
+  "Font for image grids that have text": "텍스트가 존재하는 그리드 이미지의 폰트",
   "for detailed explanation.": "를 참조하십시오.",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
   "Generate": "생성",
   "Generate forever": "반복 생성",
   "Generate Info": "생성 정보",
   "GFPGAN visibility": "GFPGAN 가시성",
-  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "그리드 세로줄 수 : -1로 설정 시 자동 감지/0으로 설정 시 배치 크기와 동일",
   "Height": "세로",
   "Heun": "Heun",
   "hide": "api 숨기기",
-  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
+  "Hide samplers in user interface (requires restart)": "사용자 인터페이스에서 숨길 샘플러 선택(재시작 필요)",
   "Highres. fix": "고해상도 보정",
   "History": "기록",
   "Image Browser": "이미지 브라우저",
+  "Images Browser": "이미지 브라우저",
   "Images directory": "이미지 경로",
   "extras": "부가기능",
-  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
+  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "훈련이 얼마나 빨리 이루어질지 정하는 값입니다. 값이 낮을수록 훈련 시간이 길어지고, 높은 값일수록 정확한 결과를 내는 데 실패하고 임베딩을 망가뜨릴 수 있습니다(임베딩이 망가진 경우에는 훈련 정보 텍스트박스에 손실(Loss) : nan 이라고 출력되게 됩니다. 이 경우에는 망가지지 않은 이전 백업본을 불러와야 합니다).\n\n학습률은 하나의 값으로 설정할 수도 있고, 다음 문법을 사용해 여러 값을 사용할 수도 있습니다 :\n\n학습률_1:최대 스텝수_1, 학습률_2:최대 스텝수_2, ...\n\n예 : 0.005:100, 1e-3:1000, 1e-5\n\n예의 설정값은 첫 100스텝동안 0.005의 학습률로, 그 이후 1000스텝까지는 1e-3으로, 남은 스텝은 1e-5로 훈련하게 됩니다.",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
   "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
@@ -166,111 +169,114 @@
   "Hypernet str.": "하이퍼네트워크 강도",
   "Hypernetwork": "하이퍼네트워크",
   "Hypernetwork Learning rate": "하이퍼네트워크 학습률",
-  "Hypernetwork strength": "Hypernetwork strength",
-  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
-  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
-  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "Hypernetwork strength": "하이퍼네트워크 강도",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG 이미지가 4MB보다 크거나 가로 또는 세로길이가 4000보다 클 경우, 다운스케일 후 JPG로 복사본 저장하기",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "이 옵션이 활성화되면 생성된 이미지에 워터마크가 추가되지 않습니다. 경고 : 워터마크를 추가하지 않는다면, 비윤리적인 행동을 하는 중일지도 모릅니다.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "이 값이 0이 아니라면, 시드에 해당 값이 더해지고, Eta가 있는 샘플러를 사용할 때 노이즈의 RNG 조정을 위해 해당 값이 사용됩니다. 이 설정으로 더 다양한 이미지를 생성하거나, 잘 알고 계시다면 특정 소프트웨어의 결과값을 재현할 수도 있습니다.",
   "ignore": "무시",
-  "Image": "Image",
+  "Image": "이미지",
   "Image for img2img": "Image for img2img",
-  "Image for inpainting with mask": "Image for inpainting with mask",
-  "Images filename pattern": "Images filename pattern",
+  "Image for inpainting with mask": "마스크로 인페인팅할 이미지",
+  "Images filename pattern": "이미지 파일명 패턴",
   "img2img": "이미지→이미지",
   "img2img alternative test": "이미지→이미지 대체버전 테스트",
-  "img2img DDIM discretize": "img2img DDIM discretize",
-  "img2img history": "img2img history",
+  "img2img DDIM discretize": "이미지→이미지 DDIM 이산화",
+  "img2img history": "이미지→이미지 기록",
   "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
   "Include Separate Images": "분리된 이미지 포함하기",
-  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "75개보다 많은 토큰을 사용시 마지막 쉼표로부터 N개의 토큰 이내에 패딩을 추가해 통일성 증가시키기",
   "Initialization text": "초기화 텍스트",
   "Inpaint": "인페인트",
   "Inpaint at full resolution": "전체 해상도로 인페인트하기",
-  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
+  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트시 패딩값(픽셀 단위)",
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
   "Input directory": "인풋 이미지 경로",
   "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
-  "Interrogate Options": "Interrogate Options",
-  "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
-  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
-  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
-  "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
-  "Interrogate: maximum description length": "Interrogate: maximum description length",
-  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
-  "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
-  "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+  "Interrogate Options": "분석 설정",
+  "Interrogate: deepbooru score threshold": "분석 : deepbooru 점수 임계값",
+  "Interrogate: deepbooru sort alphabetically": "분석 : deepbooru 알파벳 순서로 정렬하기",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "분석 : 결과물에 모델 태그의 랭크 포함하기 (캡션 바탕의 분석기에는 효과 없음)",
+  "Interrogate: keep models in VRAM": "분석 : VRAM에 모델 유지하기",
+  "Interrogate: maximum description length": "분석 : 설명 최대 길이",
+  "Interrogate: minimum description length (excluding artists, etc..)": "분석 : 설명 최소 길이(작가 등등..제외)",
+  "Interrogate: num_beams for BLIP": "분석 : BLIP의 num_beams값",
+  "Interrogate: use artists from artists.csv": "분석 : artists.csv의 작가들 사용하기",
   "Interrupt": "중단",
   "Is negative text": "네거티브 텍스트일시 체크",
   "Just resize": "리사이징",
   "Keep -1 for seeds": "시드값 -1로 유지",
   "keep whatever was there originally": "이미지 원본 유지",
-  "Label": "Label",
+  "Label": "라벨",
   "Lanczos": "Lanczos",
-  "Last prompt:": "Last prompt:",
-  "Last saved hypernetwork:": "Last saved hypernetwork:",
-  "Last saved image:": "Last saved image:",
+  "Last prompt:": "마지막 프롬프트 : ",
+  "Last saved hypernetwork:": "마지막으로 저장된 하이퍼네트워크 : ",
+  "Last saved image:": "마지막으로 저장된 이미지 : ",
   "latent noise": "잠재 노이즈",
   "latent nothing": "잠재 공백",
   "LDSR": "LDSR",
-  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "LDSR processing steps. Lower = faster": "LDSR 스텝 수. 낮은 값 = 빠른 속도",
   "leakyrelu": "leakyrelu",
   "Leave blank to save images to the default path.": "기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
   "left": "왼쪽",
   "linear": "linear",
-  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "설정 탭이 아니라 상단의 빠른 설정 바에 위치시킬 설정 이름을 쉼표로 분리해서 입력하십시오. 설정 이름은 modules/shared.py에서 찾을 수 있습니다. 재시작이 필요합니다.",
   "LMS": "LMS",
   "LMS Karras": "LMS Karras",
   "Load": "불러오기",
   "Loading...": "로딩 중...",
-  "Localization (requires restart)": "Localization (requires restart)",
+  "Localization (requires restart)": "현지화 (재시작 필요)",
   "Log directory": "로그 경로",
   "Loopback": "루프백",
   "Loops": "루프 수",
-  "Loss:": "Loss:",
+  "Loss:": "손실(Loss) : ",
   "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
-  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-diffusion 샘플러들이 단일 이미지를 생성하는 것처럼 배치에서도 동일한 이미지를 생성하게 하기",
   "Make Zip when Save?": "저장 시 Zip 생성하기",
   "Mask": "마스크",
   "Mask blur": "마스크 블러",
-  "Mask mode": "Mask mode",
+  "Mask mode": "마스크 모드",
   "Masked content": "마스크된 부분",
-  "Masking mode": "Masking mode",
-  "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+  "Masking mode": "마스킹 모드",
+  "Max prompt words for [prompt_words] pattern": "[prompt_words] 패턴의 최대 프롬프트 단어 수",
   "Max steps": "최대 스텝 수",
   "Modules": "모듈",
-  "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
-  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
+  "Move face restoration model from VRAM into RAM after processing": "처리가 완료되면 얼굴 보정 모델을 VRAM에서 RAM으로 옮기기",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "하이퍼네트워크 훈련 진행 시 VAE와 CLIP을 RAM으로 옮기기. VRAM이 절약됩니다.",
   "Multiplier (M) - set to 0 to get model A": "배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
   "Name": "이름",
   "Negative prompt": "네거티브 프롬프트",
   "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
   "Next batch": "다음 묶음",
   "Next Page": "다음 페이지",
-  "None": "None",
+  "None": "없음",
   "Nothing": "없음",
   "Nothing found in the image.": "Nothing found in the image.",
   "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
-  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
+  "Number of pictures displayed on each page": "각 페이지에 표시될 이미지 수",
+  "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
+  "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
   "Number of vectors per token": "토큰별 벡터 수",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
   "Open output directory": "저장 경로 열기",
-  "or": "or",
+  "or": "또는",
   "original": "원본 유지",
   "Original negative prompt": "기존 네거티브 프롬프트",
   "Original prompt": "기존 프롬프트",
   "Outpainting direction": "아웃페인팅 방향",
   "Outpainting mk2": "아웃페인팅 마크 2",
   "Output directory": "이미지 저장 경로",
-  "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
-  "Output directory for images from extras tab": "Output directory for images from extras tab",
-  "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
-  "Output directory for img2img grids": "Output directory for img2img grids",
-  "Output directory for img2img images": "Output directory for img2img images",
-  "Output directory for txt2img grids": "Output directory for txt2img grids",
-  "Output directory for txt2img images": "Output directory for txt2img images",
+  "Output directory for grids; if empty, defaults to two directories below": "그리드 이미지 저장 경로 - 비워둘 시 하단의 2가지 기본 경로로 설정됨",
+  "Output directory for images from extras tab": "부가기능 탭 저장 경로",
+  "Output directory for images; if empty, defaults to three directories below": "이미지 저장 경로 - 비워둘 시 하단의 3가지 기본 경로로 설정됨",
+  "Output directory for img2img grids": "이미지→이미지 그리드 저장 경로",
+  "Output directory for img2img images": "이미지→이미지 저장 경로",
+  "Output directory for txt2img grids": "텍스트→이미지 그리드 저장 경로",
+  "Output directory for txt2img images": "텍스트→이미지 저장 경로",
   "Override `Denoising strength` to 1?": "디노이즈 강도를 1로 적용할까요?",
   "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
   "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
@@ -279,20 +285,21 @@
   "Overwrite Old Hypernetwork": "기존 하이퍼네트워크 덮어쓰기",
   "Page Index": "페이지 인덱스",
   "parameters": "설정값",
-  "Path to directory where to write outputs": "Path to directory where to write outputs",
+  "Path to directory where to write outputs": "결과물을 출력할 경로",
   "Path to directory with input images": "인풋 이미지가 있는 경로",
-  "Paths for saving": "Paths for saving",
+  "Paths for saving": "저장 경로",
   "Pixels to expand": "확장할 픽셀 수",
   "PLMS": "PLMS",
   "PNG Info": "PNG 정보",
   "Poor man's outpainting": "가난뱅이의 아웃페인팅",
-  "Preparing dataset from": "Preparing dataset from",
+  "Preload images at startup": "WebUI 가동 시 이미지 프리로드하기",
+  "Preparing dataset from": "준비된 데이터셋 경로 : ",
   "prepend": "앞에 삽입",
   "Preprocess": "전처리",
   "Preprocess images": "이미지 전처리",
   "Prev batch": "이전 묶음",
   "Prev Page": "이전 페이지",
-  "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
+  "Prevent empty spots in grid (when set to autodetect)": "(자동 감지 사용시)그리드에 빈칸이 생기는 것 방지하기",
   "Primary model (A)": "주 모델 (A)",
   "Process an image, use it as an input, repeat.": "이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
   "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
@@ -307,26 +314,26 @@
   "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
   "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
   "quad": "quad",
-  "Quality for saved jpeg images": "Quality for saved jpeg images",
-  "Quicksettings list": "Quicksettings list",
+  "Quality for saved jpeg images": "저장된 jpeg 이미지들의 품질",
+  "Quicksettings list": "빠른 설정 리스트",
   "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
   "Randomness": "랜덤성",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
   "Read parameters (prompt, etc...) from txt2img tab when making previews": "프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
   "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
-  "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "Reload custom script bodies (No ui updates, No restart)": "커스텀 스크립트 리로드하기(UI 업데이트 없음, 재시작 없음)",
   "relu": "relu",
   "Renew Page": "Renew Page",
-  "Request browser notifications": "Request browser notifications",
+  "Request browser notifications": "브라우저 알림 권한 요청",
   "Resize": "리사이징 배수",
   "Resize and fill": "리사이징 후 채우기",
   "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
-  "Resize mode": "Resize mode",
+  "Resize mode": "리사이징 모드",
   "Resize seed from height": "시드 리사이징 가로길이",
   "Resize seed from width": "시드 리사이징 세로길이",
   "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
   "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio를 재시작하고 컴포넌트 새로고침하기 (커스텀 스크립트, ui.py, js, css만 해당됨)",
   "Restore faces": "얼굴 보정",
   "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
   "Result = A * (1 - M) + B * M": "결과물 = A * (1 - M) + B * M",
@@ -335,23 +342,23 @@
   "right": "오른쪽",
   "Run": "가동",
   "Sampler": "샘플러",
-  "Sampler parameters": "Sampler parameters",
+  "Sampler parameters": "샘플러 설정값",
   "Sampling method": "샘플링 방법",
   "Sampling Steps": "샘플링 스텝 수",
   "Save": "저장",
   "Save a copy of embedding to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 임베딩을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
-  "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
-  "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
-  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+  "Save a copy of image before applying color correction to img2img results": "이미지→이미지 결과물에 색상 보정을 진행하기 전 이미지의 복사본을 저장하기",
+  "Save a copy of image before doing face restoration.": "얼굴 보정을 진행하기 전 이미지의 복사본을 저장하기",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 손실(Loss)을 포함하는 csv 파일을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
   "Save an image to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 이미지를 저장합니다, 비활성화하려면 0으로 설정하십시오.",
   "Save as float16": "float16으로 저장",
-  "Save grids to a subdirectory": "Save grids to a subdirectory",
-  "Save images to a subdirectory": "Save images to a subdirectory",
+  "Save grids to a subdirectory": "그리드 이미지를 하위 디렉토리에 저장하기",
+  "Save images to a subdirectory": "이미지를 하위 디렉토리에 저장하기",
   "Save images with embedding in PNG chunks": "PNG 청크로 이미지에 임베딩을 포함시켜 저장",
   "Save style": "스타일 저장",
-  "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
-  "Saving images/grids": "Saving images/grids",
-  "Saving to a directory": "Saving to a directory",
+  "Save text information about generation parameters as chunks to png files": "이미지 생성 설정값을 PNG 청크에 텍스트로 저장",
+  "Saving images/grids": "이미지/그리드 저장",
+  "Saving to a directory": "디렉토리에 저장",
   "Scale by": "스케일링 배수 지정",
   "Scale to": "스케일링 사이즈 지정",
   "Script": "스크립트",
@@ -363,6 +370,7 @@
   "Seed": "시드",
   "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
   "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
+  "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "WebUI에 표시할 Real-ESRGAN 모델을 선택하십시오. (재시작 필요)",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
@@ -374,29 +382,30 @@
   "set_index": "set_index",
   "Settings": "설정",
   "should be 2 or lower.": "이 2 이하여야 합니다.",
-  "Show generation progress in window title.": "Show generation progress in window title.",
-  "Show grid in results for web": "Show grid in results for web",
-  "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
-  "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
-  "Show progressbar": "Show progressbar",
+  "Show generation progress in window title.": "창 타이틀에 생성 진행도 보여주기",
+  "Show grid in results for web": "웹에서 결과창에 그리드 보여주기",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "N번째 샘플링 스텝마다 이미지 생성 과정 보이기 - 비활성화하려면 0으로 설정",
+  "Show images zoomed in by default in full page image viewer": "전체 페이지 이미지 뷰어에서 기본값으로 이미지 확대해서 보여주기",
+  "Show progressbar": "프로그레스 바 보이기",
   "Show result images": "이미지 결과 보이기",
   "Show Textbox": "텍스트박스 보이기",
+  "Show previews of all images generated in a batch as a grid": "배치에서 생성된 모든 이미지의 미리보기를 그리드 형식으로 보여주기",
   "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
   "Sigma Churn": "시그마 섞기",
-  "sigma churn": "sigma churn",
+  "sigma churn": "시그마 섞기",
   "Sigma max": "시그마 최댓값",
   "Sigma min": "시그마 최솟값",
   "Sigma noise": "시그마 노이즈",
-  "sigma noise": "sigma noise",
-  "sigma tmin": "sigma tmin",
+  "sigma noise": "시그마 노이즈",
+  "sigma tmin": "시그마 tmin",
   "Single Image": "단일 이미지",
   "Skip": "건너뛰기",
   "Slerp angle": "구면 선형 보간 각도",
   "Slerp interpolation": "구면 선형 보간",
   "Source": "원본",
   "Source directory": "원본 경로",
-  "Split image threshold": "Split image threshold",
-  "Split image overlap ratio": "Split image overlap ratio",
+  "Split image threshold": "이미지 분할 임계값",
+  "Split image overlap ratio": "이미지 분할 겹침 비율",
   "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
   "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
@@ -407,20 +416,20 @@
   "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
   "Style 1": "스타일 1",
   "Style 2": "스타일 2",
-  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "적용할 스타일 - 스타일은 긍정/부정 프롬프트 모두에 대한 설정값을 가지고 있고 양쪽 모두에 적용 가능합니다.",
   "SwinIR 4x": "SwinIR 4x",
   "Sys VRAM:": "시스템 VRAM : ",
-  "System": "System",
+  "System": "시스템",
   "Tertiary model (C)": "3차 모델 (C)",
-  "Textbox": "Textbox",
-  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
-  "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "Textbox": "텍스트박스",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "이 정규표현식은 파일명으로부터 단어를 추출하는 데 사용됩니다. 추출된 단어들은 하단의 설정을 이용해 라벨 텍스트로 변환되어 훈련에 사용됩니다. 파일명 텍스트를 유지하려면 비워두십시오.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "이 문자열은 상단 설정이 활성화되어있을 때 분리된 단어들을 한 줄로 합치는 데 사용됩니다.",
   "This text is used to rotate the feature space of the imgs embs": "이 텍스트는 이미지 임베딩의 특징 공간을 회전하는 데 사용됩니다.",
   "Tile overlap": "타일 겹침",
-  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
-  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
-  "Tile size for all SwinIR.": "Tile size for all SwinIR.",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 업스케일러들의 타일 중첩 수치, 픽셀 단위. 낮은 값 = 눈에 띄는 이음매.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR의 타일 중첩 수치, 픽셀 단위. 낮은 값 = 눈에 띄는 이음매.",
+  "Tile size for all SwinIR.": "SwinIR의 타일 사이즈.",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 업스케일러들의 타일 사이즈. 0 = 타일링 없음.",
   "Tiling": "타일링",
   "Time taken:": "소요 시간 : ",
   "Torch active/reserved:": "활성화/예약된 Torch 양 : ",
@@ -429,51 +438,60 @@
   "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "임베딩이나 하이퍼네트워크를 훈련시킵니다. 1:1 비율의 이미지가 있는 경로를 지정해야 합니다.",
   "Train Embedding": "임베딩 훈련",
   "Train Hypernetwork": "하이퍼네트워크 훈련",
-  "Training": "Training",
+  "Training": "훈련",
   "txt2img": "텍스트→이미지",
-  "txt2img history": "txt2img history",
+  "txt2img history": "텍스트→이미지 기록",
   "uniform": "uniform",
   "up": "위쪽",
   "Upload mask": "마스크 업로드하기",
-  "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
+  "Upscale latent space image when doing hires. fix": "고해상도 보정 사용시 잠재 공간 이미지 업스케일하기",
   "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
   "Upscaler": "업스케일러",
   "Upscaler 1": "업스케일러 1",
   "Upscaler 2": "업스케일러 2",
   "Upscaler 2 visibility": "업스케일러 2 가시성",
-  "Upscaler for img2img": "Upscaler for img2img",
-  "Upscaling": "Upscaling",
+  "Upscaler for img2img": "이미지→이미지 업스케일러",
+  "Upscaling": "업스케일링",
   "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
   "Use BLIP for caption": "캡션에 BLIP 사용",
   "Use deepbooru for caption": "캡션에 deepbooru 사용",
   "Use dropout": "드롭아웃 사용",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
-  "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
-  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
-  "User interface": "User interface",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "옛 방식의 강조 구현을 사용합니다. 옛 시드를 재현하는 데 효과적일 수 있습니다.",
+  "Use original name for output filename during batch process in extras tab": "부가기능 탭에서 이미지를 여러장 처리 시 결과물 파일명에 기존 파일명 사용하기",
+  "use spaces for tags in deepbooru": "deepbooru에서 태그에 공백 사용",
+  "User interface": "사용자 인터페이스",
   "Var. seed": "바리에이션 시드",
   "Var. strength": "바리에이션 강도",
   "Variation seed": "바리에이션 시드",
   "Variation strength": "바리에이션 강도",
   "view": "api 보이기",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "생성 도중 초당 VRAM 사용량 폴링 수. 비활성화하려면 0으로 설정하십시오.",
   "Weighted sum": "가중 합",
   "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
-  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
-  "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
-  "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "PNG 정보나 붙여넣은 텍스트로부터 생성 설정값을 읽어올 때, 선택된 모델/체크포인트는 변경하지 않기.",
+  "When using \"Save\" button, save images to a subdirectory": "저장 버튼 사용시, 이미지를 하위 디렉토리에 저장하기",
+  "When using 'Save' button, only save a single selected image": "저장 버튼 사용시, 선택된 이미지 1개만 저장하기",
   "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
   "Width": "가로",
   "wiki": " 위키",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
-  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "이미지→이미지 진행 시, 슬라이더로 설정한 스텝 수를 정확히 실행하기 (일반적으로 디노이즈 강도가 낮을수록 실제 설정된 스텝 수보다 적게 진행됨)",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
   "X type": "X축",
   "X values": "X 설정값",
   "X/Y plot": "X/Y 플롯",
   "Y type": "Y축",
-  "Y values": "Y 설정값"
+  "Y values": "Y 설정값",
+  "step1 min/max": "스텝1 최소/최대",
+  "step2 min/max": "스텝2 최소/최대",
+  "step count": "스텝 변화 횟수",
+  "cfg1 min/max": "CFG1 최소/최대",
+  "cfg2 min/max": "CFG2 최소/최대",
+  "cfg count": "CFG 변화 횟수",
+  "x/y change": "X/Y축 변경",
+  "Random": "랜덤",
+  "Random grid": "랜덤 그리드"
 }
\ No newline at end of file

From 2ce44fc48e3ee6c73042ea83748772fe3eb45b1e Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 24 Oct 2022 04:38:16 +0900
Subject: [PATCH 089/321] Finalize ko_KR.json

---
 localizations/ko_KR.json | 44 ++++++++++++++++++++--------------------
 1 file changed, 22 insertions(+), 22 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 6889de46..ab12c37e 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -5,10 +5,10 @@
   "❮": "❮",
   "❯": "❯",
   "⤡": "⤡",
-  " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
   " images during ": "개의 이미지를 불러왔고, 생성 기간은 ",
-  ", divided into ": "입니다. ",
+  " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
   " pages": "페이지로 나뉘어 표시합니다.",
+  ", divided into ": "입니다. ",
   "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
   "[wiki]": " [위키] 참조",
   "A directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리를 선택해 주세요.",
@@ -43,7 +43,10 @@
   "BSRGAN 4x": "BSRGAN 4x",
   "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
+  "cfg count": "CFG 변화 횟수",
   "CFG Scale": "CFG 스케일",
+  "cfg1 min/max": "CFG1 최소/최대",
+  "cfg2 min/max": "CFG2 최소/최대",
   "Check progress": "진행도 체크",
   "Check progress (first)": "진행도 체크 (처음)",
   "checkpoint": " 체크포인트 ",
@@ -57,8 +60,8 @@
   "CodeFormer visibility": "CodeFormer 가시성",
   "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
   "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 가중치 설정값 (0 = 최대 효과, 1 = 최소 효과)",
-  "Color variation": "색깔 다양성",
   "Collect": "즐겨찾기",
+  "Color variation": "색깔 다양성",
   "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
@@ -89,8 +92,8 @@
   "Do not save grids consisting of one picture": "이미지가 1개뿐인 그리드는 저장하지 않기",
   "Do not show any images in results for web": "웹에서 결과창에 아무 이미지도 보여주지 않기",
   "down": "아래쪽",
-  "Download localization template": "현지화 템플릿 다운로드",
   "Download": "다운로드",
+  "Download localization template": "현지화 템플릿 다운로드",
   "DPM adaptive": "DPM adaptive",
   "DPM fast": "DPM fast",
   "DPM2": "DPM2",
@@ -121,6 +124,7 @@
   "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
   "Extra": "고급",
   "Extras": "부가기능",
+  "extras": "부가기능",
   "extras history": "부가기능 기록",
   "Face restoration": "얼굴 보정",
   "Face restoration model": "얼굴 보정 모델",
@@ -155,10 +159,6 @@
   "Hide samplers in user interface (requires restart)": "사용자 인터페이스에서 숨길 샘플러 선택(재시작 필요)",
   "Highres. fix": "고해상도 보정",
   "History": "기록",
-  "Image Browser": "이미지 브라우저",
-  "Images Browser": "이미지 브라우저",
-  "Images directory": "이미지 경로",
-  "extras": "부가기능",
   "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "훈련이 얼마나 빨리 이루어질지 정하는 값입니다. 값이 낮을수록 훈련 시간이 길어지고, 높은 값일수록 정확한 결과를 내는 데 실패하고 임베딩을 망가뜨릴 수 있습니다(임베딩이 망가진 경우에는 훈련 정보 텍스트박스에 손실(Loss) : nan 이라고 출력되게 됩니다. 이 경우에는 망가지지 않은 이전 백업본을 불러와야 합니다).\n\n학습률은 하나의 값으로 설정할 수도 있고, 다음 문법을 사용해 여러 값을 사용할 수도 있습니다 :\n\n학습률_1:최대 스텝수_1, 학습률_2:최대 스텝수_2, ...\n\n예 : 0.005:100, 1e-3:1000, 1e-5\n\n예의 설정값은 첫 100스텝동안 0.005의 학습률로, 그 이후 1000스텝까지는 1e-3으로, 남은 스텝은 1e-5로 훈련하게 됩니다.",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
@@ -175,8 +175,11 @@
   "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "이 값이 0이 아니라면, 시드에 해당 값이 더해지고, Eta가 있는 샘플러를 사용할 때 노이즈의 RNG 조정을 위해 해당 값이 사용됩니다. 이 설정으로 더 다양한 이미지를 생성하거나, 잘 알고 계시다면 특정 소프트웨어의 결과값을 재현할 수도 있습니다.",
   "ignore": "무시",
   "Image": "이미지",
+  "Image Browser": "이미지 브라우저",
   "Image for img2img": "Image for img2img",
   "Image for inpainting with mask": "마스크로 인페인팅할 이미지",
+  "Images Browser": "이미지 브라우저",
+  "Images directory": "이미지 경로",
   "Images filename pattern": "이미지 파일명 패턴",
   "img2img": "이미지→이미지",
   "img2img alternative test": "이미지→이미지 대체버전 테스트",
@@ -242,6 +245,7 @@
   "Masking mode": "마스킹 모드",
   "Max prompt words for [prompt_words] pattern": "[prompt_words] 패턴의 최대 프롬프트 단어 수",
   "Max steps": "최대 스텝 수",
+  "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
   "Modules": "모듈",
   "Move face restoration model from VRAM into RAM after processing": "처리가 완료되면 얼굴 보정 모델을 VRAM에서 RAM으로 옮기기",
   "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "하이퍼네트워크 훈련 진행 시 VAE와 CLIP을 RAM으로 옮기기. VRAM이 절약됩니다.",
@@ -254,10 +258,9 @@
   "None": "없음",
   "Nothing": "없음",
   "Nothing found in the image.": "Nothing found in the image.",
+  "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
   "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
   "Number of pictures displayed on each page": "각 페이지에 표시될 이미지 수",
-  "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
-  "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
   "Number of vectors per token": "토큰별 벡터 수",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
@@ -317,6 +320,8 @@
   "Quality for saved jpeg images": "저장된 jpeg 이미지들의 품질",
   "Quicksettings list": "빠른 설정 리스트",
   "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+  "Random": "랜덤",
+  "Random grid": "랜덤 그리드",
   "Randomness": "랜덤성",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
   "Read parameters (prompt, etc...) from txt2img tab when making previews": "프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
@@ -386,10 +391,10 @@
   "Show grid in results for web": "웹에서 결과창에 그리드 보여주기",
   "Show image creation progress every N sampling steps. Set 0 to disable.": "N번째 샘플링 스텝마다 이미지 생성 과정 보이기 - 비활성화하려면 0으로 설정",
   "Show images zoomed in by default in full page image viewer": "전체 페이지 이미지 뷰어에서 기본값으로 이미지 확대해서 보여주기",
+  "Show previews of all images generated in a batch as a grid": "배치에서 생성된 모든 이미지의 미리보기를 그리드 형식으로 보여주기",
   "Show progressbar": "프로그레스 바 보이기",
   "Show result images": "이미지 결과 보이기",
   "Show Textbox": "텍스트박스 보이기",
-  "Show previews of all images generated in a batch as a grid": "배치에서 생성된 모든 이미지의 미리보기를 그리드 형식으로 보여주기",
   "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
   "Sigma Churn": "시그마 섞기",
   "sigma churn": "시그마 섞기",
@@ -404,11 +409,14 @@
   "Slerp interpolation": "구면 선형 보간",
   "Source": "원본",
   "Source directory": "원본 경로",
-  "Split image threshold": "이미지 분할 임계값",
   "Split image overlap ratio": "이미지 분할 겹침 비율",
+  "Split image threshold": "이미지 분할 임계값",
   "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
   "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "step count": "스텝 변화 횟수",
+  "step1 min/max": "스텝1 최소/최대",
+  "step2 min/max": "스텝2 최소/최대",
   "Step:": "Step:",
   "Steps": "스텝 수",
   "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
@@ -482,16 +490,8 @@
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
   "X type": "X축",
   "X values": "X 설정값",
+  "x/y change": "X/Y축 변경",
   "X/Y plot": "X/Y 플롯",
   "Y type": "Y축",
-  "Y values": "Y 설정값",
-  "step1 min/max": "스텝1 최소/최대",
-  "step2 min/max": "스텝2 최소/최대",
-  "step count": "스텝 변화 횟수",
-  "cfg1 min/max": "CFG1 최소/최대",
-  "cfg2 min/max": "CFG2 최소/최대",
-  "cfg count": "CFG 변화 횟수",
-  "x/y change": "X/Y축 변경",
-  "Random": "랜덤",
-  "Random grid": "랜덤 그리드"
+  "Y values": "Y 설정값"
 }
\ No newline at end of file

From 124e44cf1eed1edc68954f63a2a9bc428aabbcec Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 09:51:56 +0800
Subject: [PATCH 090/321] remove browser to extension

---
 .gitignore                   |   1 -
 javascript/images_history.js | 200 -----------------
 javascript/inspiration.js    |  48 ----
 modules/images_history.py    | 424 -----------------------------------
 modules/inspiration.py       | 193 ----------------
 modules/script_callbacks.py  |   2 -
 modules/shared.py            |  15 --
 modules/ui.py                |  20 +-
 8 files changed, 4 insertions(+), 899 deletions(-)
 delete mode 100644 javascript/images_history.js
 delete mode 100644 javascript/inspiration.js
 delete mode 100644 modules/images_history.py
 delete mode 100644 modules/inspiration.py

diff --git a/.gitignore b/.gitignore
index 8d01bc6a..70660c51 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,5 +29,4 @@ notification.mp3
 /textual_inversion
 .vscode
 /extensions
- /inspiration
 
diff --git a/javascript/images_history.js b/javascript/images_history.js
deleted file mode 100644
index c9aa76f8..00000000
--- a/javascript/images_history.js
+++ /dev/null
@@ -1,200 +0,0 @@
-var images_history_click_image = function(){
-    if (!this.classList.contains("transform")){        
-        var gallery = images_history_get_parent_by_class(this, "images_history_cantainor");
-        var buttons = gallery.querySelectorAll(".gallery-item");
-        var i = 0;
-        var hidden_list = [];
-        buttons.forEach(function(e){
-            if (e.style.display == "none"){
-                hidden_list.push(i);
-            }
-            i += 1;
-        })
-        if (hidden_list.length > 0){
-            setTimeout(images_history_hide_buttons, 10, hidden_list, gallery);
-        }        
-    }    
-    images_history_set_image_info(this); 
-}
-
-function images_history_disabled_del(){
-    gradioApp().querySelectorAll(".images_history_del_button").forEach(function(btn){
-        btn.setAttribute('disabled','disabled');
-    }); 
-}
-
-function images_history_get_parent_by_class(item, class_name){
-    var parent = item.parentElement;
-    while(!parent.classList.contains(class_name)){
-        parent = parent.parentElement;
-    }
-    return parent;  
-}
-
-function images_history_get_parent_by_tagname(item, tagname){
-    var parent = item.parentElement;
-    tagname = tagname.toUpperCase()
-    while(parent.tagName != tagname){
-        parent = parent.parentElement;
-    }  
-    return parent;
-}
-
-function images_history_hide_buttons(hidden_list, gallery){
-    var buttons = gallery.querySelectorAll(".gallery-item");
-    var num = 0;
-    buttons.forEach(function(e){
-        if (e.style.display == "none"){
-            num += 1;
-        }
-    });
-    if (num == hidden_list.length){
-        setTimeout(images_history_hide_buttons, 10, hidden_list, gallery);
-    } 
-    for( i in hidden_list){
-        buttons[hidden_list[i]].style.display = "none";
-    }    
-}
-
-function images_history_set_image_info(button){
-    var buttons = images_history_get_parent_by_tagname(button, "DIV").querySelectorAll(".gallery-item");
-    var index = -1;
-    var i = 0;
-    buttons.forEach(function(e){
-        if(e == button){
-            index = i;
-        }
-        if(e.style.display != "none"){
-            i += 1;
-        }        
-    });
-    var gallery = images_history_get_parent_by_class(button, "images_history_cantainor");
-    var set_btn = gallery.querySelector(".images_history_set_index");
-    var curr_idx = set_btn.getAttribute("img_index", index);  
-    if (curr_idx != index) {
-        set_btn.setAttribute("img_index", index);        
-        images_history_disabled_del();
-    }
-    set_btn.click();
-    
-}
-
-function images_history_get_current_img(tabname, img_index, files){
-    return [
-        tabname, 
-        gradioApp().getElementById(tabname + '_images_history_set_index').getAttribute("img_index"),         
-        files
-    ];
-}
-
-function images_history_delete(del_num, tabname, image_index){
-    image_index = parseInt(image_index);
-    var tab = gradioApp().getElementById(tabname + '_images_history');
-    var set_btn = tab.querySelector(".images_history_set_index");
-    var buttons = [];
-    tab.querySelectorAll(".gallery-item").forEach(function(e){
-        if (e.style.display != 'none'){
-            buttons.push(e);
-        }
-    });    
-    var img_num = buttons.length / 2;
-    del_num = Math.min(img_num - image_index, del_num)    
-    if (img_num <= del_num){
-        setTimeout(function(tabname){
-            gradioApp().getElementById(tabname + '_images_history_renew_page').click();
-        }, 30, tabname); 
-    } else {
-        var next_img  
-        for (var i = 0; i < del_num; i++){
-            buttons[image_index + i].style.display = 'none';
-            buttons[image_index + i + img_num].style.display = 'none';
-            next_img = image_index + i + 1
-        }
-        var bnt;
-        if (next_img  >= img_num){
-            btn = buttons[image_index - 1];
-        } else {            
-            btn = buttons[next_img];          
-        } 
-        setTimeout(function(btn){btn.click()}, 30, btn);
-    }
-    images_history_disabled_del();  
-   
-}
-
-function images_history_turnpage(tabname){
-    gradioApp().getElementById(tabname + '_images_history_del_button').setAttribute('disabled','disabled');
-    var buttons = gradioApp().getElementById(tabname + '_images_history').querySelectorAll(".gallery-item");
-    buttons.forEach(function(elem) {
-        elem.style.display = 'block';
-    })   
-}
-
-function images_history_enable_del_buttons(){
-    gradioApp().querySelectorAll(".images_history_del_button").forEach(function(btn){
-        btn.removeAttribute('disabled');
-    })
-}
-
-function images_history_init(){ 
-    var tabnames = gradioApp().getElementById("images_history_tabnames_list")   
-    if (tabnames){  
-        images_history_tab_list = tabnames.querySelector("textarea").value.split(",")    
-        for (var i in images_history_tab_list ){
-            var tab = images_history_tab_list[i];
-            gradioApp().getElementById(tab + '_images_history').classList.add("images_history_cantainor");
-            gradioApp().getElementById(tab + '_images_history_set_index').classList.add("images_history_set_index");
-            gradioApp().getElementById(tab + '_images_history_del_button').classList.add("images_history_del_button");
-            gradioApp().getElementById(tab + '_images_history_gallery').classList.add("images_history_gallery");  
-             gradioApp().getElementById(tab + "_images_history_start").setAttribute("style","padding:20px;font-size:25px");           
-        }
-
-        //preload
-        if (gradioApp().getElementById("images_history_preload").querySelector("input").checked ){
-            var tabs_box = gradioApp().getElementById("tab_images_history").querySelector("div").querySelector("div").querySelector("div");
-            tabs_box.setAttribute("id", "images_history_tab");        
-            var tab_btns = tabs_box.querySelectorAll("button"); 
-            for (var i in images_history_tab_list){               
-                var tabname = images_history_tab_list[i]
-                tab_btns[i].setAttribute("tabname", tabname);
-                tab_btns[i].addEventListener('click', function(){
-                    var tabs_box = gradioApp().getElementById("images_history_tab");
-                    if (!tabs_box.classList.contains(this.getAttribute("tabname"))) {
-                        gradioApp().getElementById(this.getAttribute("tabname") + "_images_history_start").click();
-                        tabs_box.classList.add(this.getAttribute("tabname"))
-                    }                
-                });
-            }            
-            tab_btns[0].click()
-        }
-    } else {
-        setTimeout(images_history_init, 500);
-    } 
-}
-
-var images_history_tab_list = "";
-setTimeout(images_history_init, 500);
-document.addEventListener("DOMContentLoaded", function() {
-    var mutationObserver = new MutationObserver(function(m){
-        if (images_history_tab_list != ""){
-            for (var i in images_history_tab_list ){
-                let tabname = images_history_tab_list[i]
-                var buttons = gradioApp().querySelectorAll('#' + tabname + '_images_history .gallery-item');
-                buttons.forEach(function(bnt){    
-                    bnt.addEventListener('click', images_history_click_image, true);
-                });
-
-                var cls_btn = gradioApp().getElementById(tabname + '_images_history_gallery').querySelector("svg");
-                if (cls_btn){
-                    cls_btn.addEventListener('click', function(){
-                        gradioApp().getElementById(tabname + '_images_history_renew_page').click();
-                    }, false);
-                }
-
-            }     
-        }
-    });
-    mutationObserver.observe(gradioApp(), { childList:true, subtree:true });
-});
-
-
diff --git a/javascript/inspiration.js b/javascript/inspiration.js
deleted file mode 100644
index 39844544..00000000
--- a/javascript/inspiration.js
+++ /dev/null
@@ -1,48 +0,0 @@
-function public_image_index_in_gallery(item, gallery){
-    var imgs = gallery.querySelectorAll("img.h-full")    
-    var index;
-    var i = 0;
-    imgs.forEach(function(e){
-        if (e == item)
-            index = i;
-        i += 1;
-    });
-    var all_imgs = gallery.querySelectorAll("img")
-    if (all_imgs.length > imgs.length){
-        var num = imgs.length / 2
-        index = (index < num) ? index : (index - num)
-    }   
-    return index;
-}
-
-function inspiration_selected(name, name_list){
-    var btn = gradioApp().getElementById("inspiration_select_button")
-    return [gradioApp().getElementById("inspiration_select_button").getAttribute("img-index")];
-}  
-
-function inspiration_click_get_button(){
-    gradioApp().getElementById("inspiration_get_button").click();
-}  
-
-var inspiration_image_click = function(){
-    var index =  public_image_index_in_gallery(this, gradioApp().getElementById("inspiration_gallery"));
-    var btn = gradioApp().getElementById("inspiration_select_button");
-    btn.setAttribute("img-index", index);
-    setTimeout(function(btn){btn.click();}, 10, btn);
-}
- 
-document.addEventListener("DOMContentLoaded", function() {
-    var mutationObserver = new MutationObserver(function(m){
-        var gallery = gradioApp().getElementById("inspiration_gallery")
-        if (gallery) {
-            var node = gallery.querySelector(".absolute.backdrop-blur.h-full")
-            if (node) {
-                node.style.display = "None";
-            } 
-            gallery.querySelectorAll('img').forEach(function(e){    
-                e.onclick = inspiration_image_click
-            });
-        }
-    });
-    mutationObserver.observe( gradioApp(), { childList:true, subtree:true });
-});
diff --git a/modules/images_history.py b/modules/images_history.py
deleted file mode 100644
index bc5cf11f..00000000
--- a/modules/images_history.py
+++ /dev/null
@@ -1,424 +0,0 @@
-import os
-import shutil
-import time
-import hashlib
-import gradio
-system_bak_path = "webui_log_and_bak"
-custom_tab_name = "custom fold"
-faverate_tab_name = "favorites"
-tabs_list = ["txt2img", "img2img", "extras", faverate_tab_name]
-def is_valid_date(date):
-    try:
-        time.strptime(date, "%Y%m%d")
-        return True
-    except:
-        return False
-
-def reduplicative_file_move(src, dst):
-    def same_name_file(basename, path):
-        name, ext = os.path.splitext(basename)
-        f_list = os.listdir(path)
-        max_num = 0
-        for f in f_list:
-            if len(f) <= len(basename):
-                continue
-            f_ext = f[-len(ext):] if len(ext) > 0 else ""
-            if f[:len(name)] == name and f_ext == ext:                
-                if f[len(name)] == "(" and f[-len(ext)-1] == ")":
-                    number = f[len(name)+1:-len(ext)-1]
-                    if number.isdigit():
-                        if int(number) > max_num:
-                            max_num = int(number)
-        return f"{name}({max_num + 1}){ext}"
-    name = os.path.basename(src)
-    save_name = os.path.join(dst, name)
-    if not os.path.exists(save_name):
-        shutil.move(src, dst)
-    else:
-        name = same_name_file(name, dst)
-        shutil.move(src, os.path.join(dst, name))
-
-def traverse_all_files(curr_path, image_list, all_type=False):
-    try:
-        f_list = os.listdir(curr_path)
-    except:
-        if all_type or (curr_path[-10:].rfind(".") > 0 and curr_path[-4:] != ".txt" and curr_path[-4:] != ".csv"):
-            image_list.append(curr_path)
-        return image_list
-    for file in f_list:
-        file = os.path.join(curr_path, file)
-        if (not all_type) and (file[-4:] == ".txt" or file[-4:] == ".csv"):
-            pass
-        elif os.path.isfile(file) and file[-10:].rfind(".") > 0:
-            image_list.append(file)
-        else:
-            image_list = traverse_all_files(file, image_list)
-    return image_list
-
-def auto_sorting(dir_name):    
-    bak_path = os.path.join(dir_name, system_bak_path)
-    if not os.path.exists(bak_path):
-        os.mkdir(bak_path)
-    log_file = None 
-    files_list = []    
-    f_list = os.listdir(dir_name)
-    for file in f_list:   
-        if file == system_bak_path:
-            continue     
-        file_path = os.path.join(dir_name, file)
-        if not is_valid_date(file):
-            if file[-10:].rfind(".") > 0:
-                files_list.append(file_path)
-            else:
-                files_list = traverse_all_files(file_path, files_list, all_type=True)
-
-    for file in files_list:        
-        date_str = time.strftime("%Y%m%d",time.localtime(os.path.getmtime(file)))
-        file_path = os.path.dirname(file)
-        hash_path = hashlib.md5(file_path.encode()).hexdigest()
-        path = os.path.join(dir_name, date_str, hash_path)
-        if not os.path.exists(path):
-            os.makedirs(path)
-        if log_file is None:
-            log_file = open(os.path.join(bak_path,"path_mapping.csv"),"a") 
-        log_file.write(f"{hash_path},{file_path}\n")
-        reduplicative_file_move(file, path)
-       
-    date_list = []
-    f_list = os.listdir(dir_name)
-    for f in f_list:
-        if is_valid_date(f):
-            date_list.append(f)
-        elif f == system_bak_path:
-            continue
-        else:
-            try:
-                reduplicative_file_move(os.path.join(dir_name, f), bak_path)  
-            except:
-                pass         
-            
-    today = time.strftime("%Y%m%d",time.localtime(time.time()))
-    if today not in date_list:
-        date_list.append(today)
-    return sorted(date_list, reverse=True)
-
-def archive_images(dir_name, date_to):    
-    filenames = []   
-    batch_size =int(opts.images_history_num_per_page * opts.images_history_pages_num)
-    if batch_size <= 0:
-        batch_size = opts.images_history_num_per_page * 6
-    today = time.strftime("%Y%m%d",time.localtime(time.time()))
-    date_to = today if date_to is None  or date_to == "" else date_to
-    date_to_bak = date_to 
-    if False: #opts.images_history_reconstruct_directory:        
-        date_list = auto_sorting(dir_name)               
-        for date in date_list:
-            if date <= date_to:
-                path = os.path.join(dir_name, date)
-                if date == today and not os.path.exists(path):
-                    continue
-                filenames = traverse_all_files(path, filenames)
-            if len(filenames) > batch_size:            
-                break
-        filenames = sorted(filenames, key=lambda file: -os.path.getmtime(file))
-    else:
-        filenames = traverse_all_files(dir_name, filenames)  
-        total_num = len(filenames) 
-        tmparray = [(os.path.getmtime(file), file) for file in filenames ]
-        date_stamp = time.mktime(time.strptime(date_to, "%Y%m%d")) + 86400      
-        filenames = []
-        date_list = {date_to:None}
-        date = time.strftime("%Y%m%d",time.localtime(time.time()))
-        for t, f in tmparray:
-            date = time.strftime("%Y%m%d",time.localtime(t))
-            date_list[date] = None
-            if t <= date_stamp:
-                filenames.append((t, f ,date))
-        date_list = sorted(list(date_list.keys()), reverse=True)
-        sort_array = sorted(filenames, key=lambda x:-x[0])
-        if len(sort_array) > batch_size:
-            date = sort_array[batch_size][2]
-            filenames = [x[1] for x in sort_array]
-        else:
-            date =  date_to if len(sort_array) == 0 else sort_array[-1][2]
-            filenames = [x[1] for x in sort_array]
-        filenames = [x[1] for x in sort_array if x[2]>= date]   
-    num = len(filenames)  
-    last_date_from = date_to_bak if num == 0 else time.strftime("%Y%m%d", time.localtime(time.mktime(time.strptime(date, "%Y%m%d")) - 1000))
-    date = date[:4] + "/" + date[4:6] + "/" + date[6:8]
-    date_to_bak = date_to_bak[:4] + "/" + date_to_bak[4:6] + "/" + date_to_bak[6:8]
-    load_info = "<div style='color:#999' align='center'>"
-    load_info += f"{total_num} images in this directory. Loaded {num} images during {date} - {date_to_bak}, divided into {int((num + 1) // opts.images_history_num_per_page + 1)} pages"
-    load_info += "</div>"
-    _, image_list, _, _, visible_num = get_recent_images(1, 0, filenames)
-    return (
-        date_to,
-        load_info,
-        filenames,        
-        1,
-        image_list,
-        "",
-        "",
-        visible_num, 
-        last_date_from, 
-        gradio.update(visible=total_num > num)
-    )
-
-def delete_image(delete_num, name, filenames, image_index, visible_num):
-    if name == "":
-        return filenames, delete_num
-    else:
-        delete_num = int(delete_num)
-        visible_num = int(visible_num)
-        image_index = int(image_index)
-        index = list(filenames).index(name)
-        i = 0
-        new_file_list = []
-        for name in filenames:
-            if i >= index and i < index + delete_num:
-                if os.path.exists(name):
-                    if visible_num == image_index:
-                        new_file_list.append(name)
-                        i += 1
-                        continue                    
-                    print(f"Delete file {name}")
-                    os.remove(name)
-                    visible_num -= 1
-                    txt_file = os.path.splitext(name)[0] + ".txt"
-                    if os.path.exists(txt_file):
-                        os.remove(txt_file)
-                else:
-                    print(f"Not exists file {name}")
-            else:
-                new_file_list.append(name)
-            i += 1
-    return new_file_list, 1, visible_num
-
-def save_image(file_name):
-    if file_name is not None and os.path.exists(file_name):
-        shutil.copy(file_name, opts.outdir_save)
-
-def get_recent_images(page_index, step, filenames):
-    page_index = int(page_index)
-    num_of_imgs_per_page = int(opts.images_history_num_per_page)
-    max_page_index = len(filenames) // num_of_imgs_per_page + 1
-    page_index = max_page_index if page_index == -1 else page_index + step
-    page_index = 1 if page_index < 1 else page_index
-    page_index = max_page_index if page_index > max_page_index else page_index
-    idx_frm = (page_index - 1) * num_of_imgs_per_page
-    image_list = filenames[idx_frm:idx_frm + num_of_imgs_per_page]
-    length = len(filenames)
-    visible_num = num_of_imgs_per_page if  idx_frm + num_of_imgs_per_page <= length else length % num_of_imgs_per_page 
-    visible_num = num_of_imgs_per_page if visible_num == 0 else visible_num
-    return page_index, image_list,  "", "",  visible_num
-
-def loac_batch_click(date_to):
-    if date_to is None:
-        return time.strftime("%Y%m%d",time.localtime(time.time())), []
-    else:
-        return None, []
-def forward_click(last_date_from, date_to_recorder):
-    if len(date_to_recorder) == 0:
-        return None, []
-    if last_date_from == date_to_recorder[-1]:
-        date_to_recorder = date_to_recorder[:-1]
-    if len(date_to_recorder) == 0:
-        return None, []
-    return date_to_recorder[-1], date_to_recorder[:-1]
-
-def backward_click(last_date_from, date_to_recorder):
-    if last_date_from is None or last_date_from == "":
-        return time.strftime("%Y%m%d",time.localtime(time.time())), []
-    if len(date_to_recorder) == 0 or last_date_from != date_to_recorder[-1]:
-        date_to_recorder.append(last_date_from)    
-    return last_date_from, date_to_recorder
-
-
-def first_page_click(page_index, filenames):
-    return get_recent_images(1, 0, filenames)
-
-def end_page_click(page_index, filenames):
-    return get_recent_images(-1, 0, filenames)
-
-def prev_page_click(page_index, filenames):
-    return get_recent_images(page_index, -1, filenames)
-
-def next_page_click(page_index, filenames):
-    return get_recent_images(page_index, 1, filenames)
-
-def page_index_change(page_index, filenames):
-    return get_recent_images(page_index, 0, filenames)
-
-def show_image_info(tabname_box, num, page_index, filenames):
-    file = filenames[int(num) + int((page_index - 1) * int(opts.images_history_num_per_page))]   
-    tm =   "<div style='color:#999' align='right'>" + time.strftime("%Y-%m-%d %H:%M:%S",time.localtime(os.path.getmtime(file))) + "</div>"
-    return file, tm, num, file
-
-def enable_page_buttons():
-    return gradio.update(visible=True)
-
-def change_dir(img_dir, date_to):
-    warning = None
-    try:
-        if os.path.exists(img_dir):
-            try:
-                f = os.listdir(img_dir)                
-            except:
-                warning = f"'{img_dir} is not a directory"
-        else:
-            warning = "The directory is not exist"
-    except:
-        warning = "The format of the directory is incorrect"
-    if warning is None:        
-        today = time.strftime("%Y%m%d",time.localtime(time.time()))
-        return gradio.update(visible=False), gradio.update(visible=True), None,   None if date_to != today else today, gradio.update(visible=True), gradio.update(visible=True)
-    else:
-        return gradio.update(visible=True), gradio.update(visible=False), warning, date_to, gradio.update(visible=False), gradio.update(visible=False)
-
-def show_images_history(gr, opts, tabname, run_pnginfo, switch_dict):
-    custom_dir = False
-    if tabname == "txt2img":
-        dir_name = opts.outdir_txt2img_samples
-    elif tabname == "img2img":
-        dir_name = opts.outdir_img2img_samples
-    elif tabname == "extras":
-        dir_name = opts.outdir_extras_samples
-    elif tabname == faverate_tab_name:
-        dir_name = opts.outdir_save
-    else:
-        custom_dir = True
-        dir_name = None
-
-    if not custom_dir:
-        d = dir_name.split("/")
-        dir_name = d[0]
-        for p in d[1:]:
-            dir_name = os.path.join(dir_name, p)
-        if not os.path.exists(dir_name):
-            os.makedirs(dir_name)
-
-    with gr.Column() as page_panel:            
-            with gr.Row():                
-                with gr.Column(scale=1, visible=not custom_dir) as load_batch_box: 
-                    load_batch = gr.Button('Load', elem_id=tabname + "_images_history_start", full_width=True)    
-                with gr.Column(scale=4): 
-                    with gr.Row():                        
-                        img_path = gr.Textbox(dir_name, label="Images directory", placeholder="Input images directory", interactive=custom_dir)  
-            with gr.Row():
-                with gr.Column(visible=False, scale=1) as batch_panel: 
-                    with gr.Row():
-                        forward = gr.Button('Prev batch')
-                        backward = gr.Button('Next batch')
-                with gr.Column(scale=3):
-                    load_info =     gr.HTML(visible=not custom_dir)
-            with gr.Row(visible=False) as warning:                 
-                warning_box = gr.Textbox("Message", interactive=False)                        
-
-            with gr.Row(visible=not custom_dir, elem_id=tabname + "_images_history") as main_panel:
-                with gr.Column(scale=2):                     
-                    with gr.Row(visible=True) as turn_page_buttons:                        
-                        #date_to = gr.Dropdown(label="Date to")                          
-                        first_page = gr.Button('First Page')
-                        prev_page = gr.Button('Prev Page')
-                        page_index = gr.Number(value=1, label="Page Index")
-                        next_page = gr.Button('Next Page')
-                        end_page = gr.Button('End Page')                 
-
-                    history_gallery = gr.Gallery(show_label=False, elem_id=tabname + "_images_history_gallery").style(grid=opts.images_history_grid_num)
-                    with gr.Row():
-                        delete_num = gr.Number(value=1, interactive=True, label="number of images to delete consecutively next")
-                        delete = gr.Button('Delete', elem_id=tabname + "_images_history_del_button")
-                        
-                with gr.Column():                    
-                    with gr.Row():
-                        with gr.Column():
-                            img_file_info = gr.Textbox(label="Generate Info", interactive=False, lines=6)
-                            gr.HTML("<hr>")                           
-                            img_file_name = gr.Textbox(value="", label="File Name", interactive=False)
-                            img_file_time= gr.HTML()
-                    with gr.Row():
-                        if tabname != faverate_tab_name:
-                            save_btn = gr.Button('Collect')
-                        pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
-                        pnginfo_send_to_img2img = gr.Button('Send to img2img')
-                           
-                            
-                    # hiden items
-                    with gr.Row(visible=False): 
-                        renew_page = gr.Button('Refresh page', elem_id=tabname + "_images_history_renew_page")
-                        batch_date_to = gr.Textbox(label="Date to")  
-                        visible_img_num = gr.Number()                     
-                        date_to_recorder = gr.State([])
-                        last_date_from = gr.Textbox()
-                        tabname_box = gr.Textbox(tabname)
-                        image_index = gr.Textbox(value=-1)
-                        set_index = gr.Button('set_index', elem_id=tabname + "_images_history_set_index")
-                        filenames = gr.State()
-                        all_images_list = gr.State()
-                        hidden = gr.Image(type="pil")
-                        info1 = gr.Textbox()
-                        info2 = gr.Textbox()
-
-    img_path.submit(change_dir, inputs=[img_path, batch_date_to], outputs=[warning, main_panel, warning_box, batch_date_to, load_batch_box, load_info])
-
-    #change batch
-    change_date_output = [batch_date_to, load_info, filenames, page_index, history_gallery, img_file_name, img_file_time, visible_img_num, last_date_from,  batch_panel]  
-   
-    batch_date_to.change(archive_images, inputs=[img_path, batch_date_to], outputs=change_date_output)   
-    batch_date_to.change(enable_page_buttons, inputs=None, outputs=[turn_page_buttons])  
-    batch_date_to.change(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")  
-
-    load_batch.click(loac_batch_click, inputs=[batch_date_to], outputs=[batch_date_to, date_to_recorder])
-    forward.click(forward_click, inputs=[last_date_from, date_to_recorder], outputs=[batch_date_to, date_to_recorder])
-    backward.click(backward_click, inputs=[last_date_from, date_to_recorder], outputs=[batch_date_to, date_to_recorder])
-
-
-    #delete
-    delete.click(delete_image, inputs=[delete_num, img_file_name, filenames, image_index, visible_img_num], outputs=[filenames, delete_num, visible_img_num])
-    delete.click(fn=None, _js="images_history_delete", inputs=[delete_num, tabname_box, image_index], outputs=None) 
-    if tabname != faverate_tab_name: 
-        save_btn.click(save_image, inputs=[img_file_name], outputs=None)     
-
-    #turn page
-    gallery_inputs = [page_index, filenames]
-    gallery_outputs = [page_index, history_gallery, img_file_name, img_file_time, visible_img_num]
-    first_page.click(first_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
-    next_page.click(next_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
-    prev_page.click(prev_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
-    end_page.click(end_page_click, inputs=gallery_inputs, outputs=gallery_outputs)
-    page_index.submit(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
-    renew_page.click(page_index_change, inputs=gallery_inputs, outputs=gallery_outputs)
-
-    first_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    next_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    prev_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    end_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    page_index.submit(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-    renew_page.click(fn=None, inputs=[tabname_box], outputs=None, _js="images_history_turnpage")
-
-    # other funcitons
-    set_index.click(show_image_info, _js="images_history_get_current_img", inputs=[tabname_box, image_index, page_index, filenames], outputs=[img_file_name, img_file_time, image_index, hidden])
-    img_file_name.change(fn=None, _js="images_history_enable_del_buttons", inputs=None, outputs=None)   
-    hidden.change(fn=run_pnginfo, inputs=[hidden], outputs=[info1, img_file_info, info2])
-    switch_dict["fn"](pnginfo_send_to_txt2img, switch_dict["t2i"], img_file_info, 'switch_to_txt2img')
-    switch_dict["fn"](pnginfo_send_to_img2img, switch_dict["i2i"], img_file_info, 'switch_to_img2img_img2img')
-
-   
-
-def create_history_tabs(gr, sys_opts, cmp_ops, run_pnginfo, switch_dict):
-    global opts;
-    opts = sys_opts
-    loads_files_num = int(opts.images_history_num_per_page)
-    num_of_imgs_per_page = int(opts.images_history_num_per_page * opts.images_history_pages_num)
-    if cmp_ops.browse_all_images:
-        tabs_list.append(custom_tab_name)
-    with gr.Blocks(analytics_enabled=False) as images_history:
-        with gr.Tabs() as tabs:
-            for tab in tabs_list:
-                with gr.Tab(tab):
-                    with gr.Blocks(analytics_enabled=False) :
-                        show_images_history(gr, opts, tab, run_pnginfo, switch_dict)
-        gradio.Checkbox(opts.images_history_preload, elem_id="images_history_preload", visible=False)         
-        gradio.Textbox(",".join(tabs_list), elem_id="images_history_tabnames_list", visible=False)    
-        
-    return images_history
diff --git a/modules/inspiration.py b/modules/inspiration.py
deleted file mode 100644
index 29cf8297..00000000
--- a/modules/inspiration.py
+++ /dev/null
@@ -1,193 +0,0 @@
-import os
-import random
-import gradio
-from modules.shared import opts
-inspiration_system_path = os.path.join(opts.inspiration_dir, "system")
-def read_name_list(file, types=None, keyword=None):
-    if not os.path.exists(file):
-        return []
-    ret = []
-    f = open(file, "r")    
-    line = f.readline()
-    while len(line) > 0:
-        line = line.rstrip("\n")
-        if types is not None:
-            dirname = os.path.split(line)
-            if dirname[0] in types and keyword in dirname[1].lower():
-                ret.append(line)
-        else:
-            ret.append(line)
-        line = f.readline()
-    return ret
-
-def save_name_list(file, name): 
-    name_list = read_name_list(file)
-    if name not in name_list:
-        with open(file, "a") as f:
-            f.write(name + "\n")
-
-def get_types_list():
-    files = os.listdir(opts.inspiration_dir)
-    types = []
-    for x in files:
-        path = os.path.join(opts.inspiration_dir, x)
-        if x[0] == ".":
-            continue
-        if not os.path.isdir(path):
-            continue
-        if path == inspiration_system_path:
-            continue
-        types.append(x)
-    return types
-
-def get_inspiration_images(source, types, keyword):
-    keyword = keyword.strip(" ").lower()
-    get_num = int(opts.inspiration_rows_num * opts.inspiration_cols_num)
-    if source == "Favorites":
-        names = read_name_list(os.path.join(inspiration_system_path, "faverites.txt"), types, keyword)
-        names = random.sample(names, get_num) if len(names) > get_num else names
-    elif source == "Abandoned":
-        names = read_name_list(os.path.join(inspiration_system_path, "abandoned.txt"), types, keyword)
-        names = random.sample(names, get_num) if len(names) > get_num else names
-    elif source == "Exclude abandoned":        
-        abandoned = read_name_list(os.path.join(inspiration_system_path, "abandoned.txt"), types, keyword)  
-        all_names = []
-        for tp in types:
-            name_list = os.listdir(os.path.join(opts.inspiration_dir, tp))
-            all_names += [os.path.join(tp, x) for x in name_list if keyword in x.lower()]
-        
-        if len(all_names) > get_num:
-            names = []
-            while len(names) < get_num:
-                name = random.choice(all_names)
-                if name not in abandoned:
-                    names.append(name)
-        else:
-            names = all_names
-    else:
-        all_names = []
-        for tp in types:
-            name_list = os.listdir(os.path.join(opts.inspiration_dir, tp))
-            all_names += [os.path.join(tp, x) for x in name_list if keyword in x.lower()]
-        names = random.sample(all_names, get_num) if len(all_names) > get_num else all_names
-    image_list = []
-    for a in names:
-        image_path = os.path.join(opts.inspiration_dir, a)
-        images = os.listdir(image_path)
-        if len(images) > 0:        
-            image_list.append((os.path.join(image_path, random.choice(images)), a))
-        else:
-            print(image_path)
-    return image_list, names
-
-def select_click(index, name_list):
-    name = name_list[int(index)]
-    path = os.path.join(opts.inspiration_dir, name)
-    images = os.listdir(path)
-    return name, [os.path.join(path, x) for x in images], ""
-
-def give_up_click(name):
-    file = os.path.join(inspiration_system_path, "abandoned.txt")
-    save_name_list(file, name)
-    return "Added to abandoned list"
-   
-def collect_click(name):
-    file = os.path.join(inspiration_system_path, "faverites.txt")
-    save_name_list(file, name)
-    return "Added to faverite list"
-
-def moveout_click(name, source):
-    if source == "Abandoned":
-        file = os.path.join(inspiration_system_path, "abandoned.txt")
-    elif source == "Favorites":
-        file = os.path.join(inspiration_system_path, "faverites.txt")
-    else:
-        return None
-    name_list = read_name_list(file)
-    os.remove(file)
-    with open(file, "a") as f:
-        for a in name_list:
-            if a != name:
-                f.write(a + "\n")
-    return f"Moved out {name} from {source} list"
-
-def source_change(source):
-    if source in ["Abandoned", "Favorites"]:
-        return gradio.update(visible=True), []
-    else:
-        return gradio.update(visible=False), []
-def add_to_prompt(name, prompt):
-    name = os.path.basename(name)
-    return prompt + "," + name
-
-def clear_keyword():
-    return ""
-
-def ui(gr, opts, txt2img_prompt, img2img_prompt):     
-    with gr.Blocks(analytics_enabled=False) as inspiration:
-        flag = os.path.exists(opts.inspiration_dir)        
-        if flag:
-            types = get_types_list()
-            flag = len(types) > 0
-        else:
-            os.makedirs(opts.inspiration_dir)
-        if not flag:            
-            gr.HTML("""
-                <div align='center' width="50%"><h2>To activate inspiration function, you need get "inspiration" images first. </h2><br>
-                You can create these images by run "Create inspiration images" script in txt2img page, <br> you can get the artists or art styles list from here<br>
-                <a href="https://github.com/pharmapsychotic/clip-interrogator/tree/main/data">https://github.com/pharmapsychotic/clip-interrogator/tree/main/data</a><br>
-                download these files, and select these files in the "Create inspiration images" script UI<br>
-                There about 6000 artists and art styles in these files. <br>This takes server hours depending on your GPU type and how many pictures  you generate for each artist/style
-                <br>I suggest at least four images for each<br><br><br>
-                <h2>You can also download generated pictures from here:</h2><br>
-                <a href="https://huggingface.co/datasets/yfszzx/inspiration">https://huggingface.co/datasets/yfszzx/inspiration</a><br>
-                unzip the file to the project directory of webui<br>
-                and restart webui, and enjoy the joy of creation!<br></div>
-                """)      
-            return inspiration
-        if not os.path.exists(inspiration_system_path):
-            os.mkdir(inspiration_system_path)
-        with gr.Row():
-            with gr.Column(scale=2):                
-                inspiration_gallery = gr.Gallery(show_label=False, elem_id="inspiration_gallery").style(grid=opts.inspiration_cols_num, height='auto')
-            with gr.Column(scale=1):
-                types = gr.CheckboxGroup(choices=types, value=types)
-                with gr.Row(): 
-                    source = gr.Dropdown(choices=["All", "Favorites", "Exclude abandoned", "Abandoned"], value="Exclude abandoned", label="Source")
-                    keyword = gr.Textbox("", label="Key word")                                                
-                get_inspiration = gr.Button("Get inspiration", elem_id="inspiration_get_button")   
-                name = gr.Textbox(show_label=False, interactive=False)      
-                with gr.Row():                     
-                    send_to_txt2img = gr.Button('to txt2img')
-                    send_to_img2img = gr.Button('to img2img')
-                    collect = gr.Button('Collect')     
-                    give_up = gr.Button("Don't show again")
-                    moveout = gr.Button("Move out", visible=False)
-                warning = gr.HTML()
-                style_gallery = gr.Gallery(show_label=False).style(grid=2, height='auto') 
-                    
-               
-                
-        with gr.Row(visible=False):
-            select_button = gr.Button('set button', elem_id="inspiration_select_button")
-            name_list = gr.State()
-        
-        get_inspiration.click(get_inspiration_images, inputs=[source, types, keyword], outputs=[inspiration_gallery, name_list])
-        keyword.submit(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
-        source.change(source_change, inputs=[source], outputs=[moveout, style_gallery])
-        source.change(fn=clear_keyword, _js="inspiration_click_get_button", inputs=None, outputs=[keyword])       
-        types.change(fn=clear_keyword, _js="inspiration_click_get_button", inputs=None, outputs=[keyword])  
-
-        select_button.click(select_click, _js="inspiration_selected", inputs=[name, name_list], outputs=[name, style_gallery, warning])
-        give_up.click(give_up_click, inputs=[name], outputs=[warning])
-        collect.click(collect_click, inputs=[name], outputs=[warning])
-        moveout.click(moveout_click, inputs=[name, source], outputs=[warning])
-        moveout.click(fn=None, _js="inspiration_click_get_button", inputs=None, outputs=None)
-
-        send_to_txt2img.click(add_to_prompt, inputs=[name, txt2img_prompt], outputs=[txt2img_prompt])
-        send_to_img2img.click(add_to_prompt, inputs=[name, img2img_prompt], outputs=[img2img_prompt])
-        send_to_txt2img.click(collect_click, inputs=[name], outputs=[warning])
-        send_to_img2img.click(collect_click, inputs=[name], outputs=[warning])
-        send_to_txt2img.click(None, _js='switch_to_txt2img', inputs=None, outputs=None)
-        send_to_img2img.click(None, _js="switch_to_img2img_img2img", inputs=None, outputs=None)
-    return inspiration
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 5bcccd67..66666a56 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -1,4 +1,3 @@
-
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
@@ -16,7 +15,6 @@ def model_loaded_callback(sd_model):
 
 def ui_tabs_callback():
     res = []
-
     for callback in callbacks_ui_tabs:
         res += callback() or []
 
diff --git a/modules/shared.py b/modules/shared.py
index 0aaaadac..5dfd7927 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -321,21 +321,6 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
 }))
 
-options_templates.update(options_section(('inspiration', "Inspiration"), {
-    "inspiration_dir": OptionInfo("inspiration", "Directory of inspiration", component_args=hide_dirs),
-    "inspiration_max_samples": OptionInfo(4, "Maximum number of samples, used to determine which folders to skip when continue running the create script", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
-    "inspiration_rows_num":  OptionInfo(4, "Rows of inspiration interface frame", gr.Slider, {"minimum": 4, "maximum": 16, "step": 1}),
-    "inspiration_cols_num":  OptionInfo(8, "Columns of inspiration interface frame", gr.Slider, {"minimum": 4, "maximum": 16, "step": 1}),
-}))
-
-options_templates.update(options_section(('images-history', "Images Browser"), {
-    #"images_history_reconstruct_directory": OptionInfo(False, "Reconstruct output directory structure.This can greatly improve the speed of loading , but will change the original output directory structure"),
-    "images_history_preload": OptionInfo(False, "Preload images at startup"),
-    "images_history_num_per_page": OptionInfo(36, "Number of pictures displayed on each page"),
-    "images_history_pages_num": OptionInfo(6, "Minimum number of pages per load "),   
-    "images_history_grid_num": OptionInfo(6, "Number of grids in each row"),   
-
-}))
 
 class Options:
     data = None
diff --git a/modules/ui.py b/modules/ui.py
index a73175f5..fa42712e 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -49,14 +49,12 @@ from modules.sd_hijack import model_hijack
 from modules.sd_samplers import samplers, samplers_for_img2img
 import modules.textual_inversion.ui
 import modules.hypernetworks.ui
-import modules.images_history as images_history
-import modules.inspiration as inspiration
-
-
 
 # this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
 mimetypes.init()
 mimetypes.add_type('application/javascript', '.js')
+txt2img_paste_fields = []
+img2img_paste_fields = []
 
 
 if not cmd_opts.share and not cmd_opts.listen:
@@ -1193,16 +1191,7 @@ def create_ui(wrap_gradio_gpu_call):
             inputs=[image],
             outputs=[html, generation_info, html2],
         )
-    #images history
-    images_history_switch_dict = {
-        "fn": modules.generation_parameters_copypaste.connect_paste,
-        "t2i": txt2img_paste_fields,
-        "i2i": img2img_paste_fields
-    }
-
-    browser_interface = images_history.create_history_tabs(gr, opts, cmd_opts, wrap_gradio_call(modules.extras.run_pnginfo), images_history_switch_dict)
-    inspiration_interface = inspiration.ui(gr, opts, txt2img_prompt, img2img_prompt)
-
+   
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):
@@ -1651,8 +1640,6 @@ Requested path was: {f}
         (img2img_interface, "img2img", "img2img"),
         (extras_interface, "Extras", "extras"),
         (pnginfo_interface, "PNG Info", "pnginfo"),
-        (inspiration_interface, "Inspiration", "inspiration"),
-        (browser_interface , "Image Browser", "images_history"),
         (modelmerger_interface, "Checkpoint Merger", "modelmerger"),
         (train_interface, "Train", "ti"),
     ]
@@ -1896,6 +1883,7 @@ def load_javascript(raw_response):
         javascript = f'<script>{jsfile.read()}</script>'
 
     scripts_list = modules.scripts.list_scripts("javascript", ".js")
+    scripts_list += modules.scripts.list_scripts("scripts", ".js")
     for basedir, filename, path in scripts_list:
         with open(path, "r", encoding="utf8") as jsfile:
             javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"

From cef1b89aa2e6c7647db7e93a4cd4ec020da3f2da Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 10:10:33 +0800
Subject: [PATCH 091/321] remove browser to extension

---
 modules/script_callbacks.py          |  2 +
 modules/shared.py                    |  1 -
 modules/ui.py                        |  2 +-
 scripts/create_inspiration_images.py | 57 ----------------------------
 4 files changed, 3 insertions(+), 59 deletions(-)
 delete mode 100644 scripts/create_inspiration_images.py

diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 66666a56..f46d3d9a 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -1,3 +1,4 @@
+
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
@@ -15,6 +16,7 @@ def model_loaded_callback(sd_model):
 
 def ui_tabs_callback():
     res = []
+    
     for callback in callbacks_ui_tabs:
         res += callback() or []
 
diff --git a/modules/shared.py b/modules/shared.py
index 5dfd7927..6541e679 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -82,7 +82,6 @@ parser.add_argument("--api", action='store_true', help="use api=True to launch t
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
 parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
 parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
-parser.add_argument("--browse-all-images", action='store_true', help="Allow browsing all images by Image Browser", default=False)
 
 cmd_opts = parser.parse_args()
 restricted_opts = [
diff --git a/modules/ui.py b/modules/ui.py
index fa42712e..a32f7259 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1104,7 +1104,7 @@ def create_ui(wrap_gradio_gpu_call):
                             upscaling_crop = gr.Checkbox(label='Crop to fit', value=True)
                 
                 with gr.Group():
-                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers] , value=shared.sd_upscalers[0].name, type="index") 
+                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index") 
 
                 with gr.Group():
                     extras_upscaler_2 = gr.Radio(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
diff --git a/scripts/create_inspiration_images.py b/scripts/create_inspiration_images.py
deleted file mode 100644
index 2fd30578..00000000
--- a/scripts/create_inspiration_images.py
+++ /dev/null
@@ -1,57 +0,0 @@
-import csv, os, shutil
-import modules.scripts as scripts
-from modules import processing, shared, sd_samplers, images
-from modules.processing import Processed
-from modules.shared import opts
-import gradio
-class Script(scripts.Script):
-    def title(self):
-        return "Create inspiration images"
-
-    def show(self, is_img2img):
-        return True
-
-    def ui(self, is_img2img):
-        file = gradio.Files(label="Artist or styles name list. '.txt' files with one name per line",)
-        with gradio.Row():
-            prefix = gradio.Textbox("a painting in", label="Prompt words before artist or style name", file_count="multiple")
-            suffix= gradio.Textbox("style", label="Prompt words after artist or style name")
-        negative_prompt = gradio.Textbox("picture frame, portrait photo", label="Negative Prompt")
-        with gradio.Row():
-            batch_size = gradio.Number(1, label="Batch size")
-            batch_count = gradio.Number(2, label="Batch count")            
-        return [batch_size, batch_count, prefix, suffix, negative_prompt, file]
-
-    def run(self, p, batch_size, batch_count, prefix, suffix, negative_prompt, files):
-        p.batch_size = int(batch_size)
-        p.n_iterint = int(batch_count)
-        p.negative_prompt = negative_prompt        
-        p.do_not_save_samples = True
-        p.do_not_save_grid = True        
-        for file in files:
-            tp = file.orig_name.split(".")[0]
-            print(tp)
-            path = os.path.join(opts.inspiration_dir, tp)
-            if not os.path.exists(path):
-                os.makedirs(path) 
-            f = open(file.name, "r")
-            line = f.readline() 
-            while len(line) > 0: 
-                name = line.rstrip("\n").split(",")[0]
-                line = f.readline() 
-                artist_path = os.path.join(path, name)  
-                if not os.path.exists(artist_path):
-                    os.mkdir(artist_path)  
-                if len(os.listdir(artist_path)) >= opts.inspiration_max_samples:
-                    continue
-                p.prompt = f"{prefix} {name} {suffix}"
-                print(p.prompt)
-                processed = processing.process_images(p)
-                for img in  processed.images:
-                    i = 0
-                    filename = os.path.join(artist_path,  format(0, "03d") + ".jpg")
-                    while os.path.exists(filename):
-                        i += 1
-                        filename = os.path.join(artist_path,  format(i, "03d") + ".jpg")
-                    img.save(filename, quality=80)
-        return processed

From d7987ef9da2d89f146e091f0c727444a522245d9 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 11:06:58 +0800
Subject: [PATCH 092/321] add paste_fields to global

---
 extensions/inspiration                                | 1 +
 extensions/put extension here.txt                     | 0
 extensions/stable-diffusion-webui-aesthetic-gradients | 1 +
 extensions/stable-diffusion-webui-images-browse       | 1 +
 extensions/stable-diffusion-webui-inspiration         | 1 +
 extensions/stable-diffusion-webui-wildcards           | 1 +
 6 files changed, 5 insertions(+)
 create mode 160000 extensions/inspiration
 create mode 100644 extensions/put extension here.txt
 create mode 160000 extensions/stable-diffusion-webui-aesthetic-gradients
 create mode 160000 extensions/stable-diffusion-webui-images-browse
 create mode 160000 extensions/stable-diffusion-webui-inspiration
 create mode 160000 extensions/stable-diffusion-webui-wildcards

diff --git a/extensions/inspiration b/extensions/inspiration
new file mode 160000
index 00000000..4cff5855
--- /dev/null
+++ b/extensions/inspiration
@@ -0,0 +1 @@
+Subproject commit 4cff5855f3ca658fb5c9dd9745e5f2ae7bcc7074
diff --git a/extensions/put extension here.txt b/extensions/put extension here.txt
new file mode 100644
index 00000000..e69de29b
diff --git a/extensions/stable-diffusion-webui-aesthetic-gradients b/extensions/stable-diffusion-webui-aesthetic-gradients
new file mode 160000
index 00000000..411889ca
--- /dev/null
+++ b/extensions/stable-diffusion-webui-aesthetic-gradients
@@ -0,0 +1 @@
+Subproject commit 411889ca602f20b8bb5e4d1af2b9686eab1913b1
diff --git a/extensions/stable-diffusion-webui-images-browse b/extensions/stable-diffusion-webui-images-browse
new file mode 160000
index 00000000..6b8e158d
--- /dev/null
+++ b/extensions/stable-diffusion-webui-images-browse
@@ -0,0 +1 @@
+Subproject commit 6b8e158dc174f31f0bb73d74547917f5a6fba507
diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
new file mode 160000
index 00000000..4cff5855
--- /dev/null
+++ b/extensions/stable-diffusion-webui-inspiration
@@ -0,0 +1 @@
+Subproject commit 4cff5855f3ca658fb5c9dd9745e5f2ae7bcc7074
diff --git a/extensions/stable-diffusion-webui-wildcards b/extensions/stable-diffusion-webui-wildcards
new file mode 160000
index 00000000..2c0e7d7e
--- /dev/null
+++ b/extensions/stable-diffusion-webui-wildcards
@@ -0,0 +1 @@
+Subproject commit 2c0e7d7e19e6c2b76b83189013aadb822776301f

From a889c93f23f1e80d0dac4e5ddbc3a26207e8cdf1 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 11:13:16 +0800
Subject: [PATCH 093/321] paste_fields add to public

---
 modules/ui.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/modules/ui.py b/modules/ui.py
index a32f7259..a73b9ff0 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -784,6 +784,7 @@ def create_ui(wrap_gradio_gpu_call):
                 ]
             )
 
+            global txt2img_paste_fields 
             txt2img_paste_fields = [
                 (txt2img_prompt, "Prompt"),
                 (txt2img_negative_prompt, "Negative prompt"),
@@ -1054,6 +1055,7 @@ def create_ui(wrap_gradio_gpu_call):
                     outputs=[prompt, negative_prompt, style1, style2],
                 )
 
+            global img2img_paste_fields
             img2img_paste_fields = [
                 (img2img_prompt, "Prompt"),
                 (img2img_negative_prompt, "Negative prompt"),

From 9dd17b86017e26ccf58897142bdcaa0297f8db8d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E4=B8=8D=E4=BC=9A=E7=94=BB=E7=94=BB=E7=9A=84=E4=B8=AD?=
 =?UTF-8?q?=E5=8C=BB=E4=B8=8D=E6=98=AF=E5=A5=BD=E7=A8=8B=E5=BA=8F=E5=91=98?=
 <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 11:19:49 +0800
Subject: [PATCH 094/321] fix add git add mistake

---
 extensions/inspiration                                | 1 -
 extensions/put extension here.txt                     | 0
 extensions/stable-diffusion-webui-aesthetic-gradients | 1 -
 extensions/stable-diffusion-webui-images-browse       | 1 -
 extensions/stable-diffusion-webui-inspiration         | 1 -
 extensions/stable-diffusion-webui-wildcards           | 1 -
 6 files changed, 5 deletions(-)
 delete mode 160000 extensions/inspiration
 delete mode 100644 extensions/put extension here.txt
 delete mode 160000 extensions/stable-diffusion-webui-aesthetic-gradients
 delete mode 160000 extensions/stable-diffusion-webui-images-browse
 delete mode 160000 extensions/stable-diffusion-webui-inspiration
 delete mode 160000 extensions/stable-diffusion-webui-wildcards

diff --git a/extensions/inspiration b/extensions/inspiration
deleted file mode 160000
index 4cff5855..00000000
--- a/extensions/inspiration
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 4cff5855f3ca658fb5c9dd9745e5f2ae7bcc7074
diff --git a/extensions/put extension here.txt b/extensions/put extension here.txt
deleted file mode 100644
index e69de29b..00000000
diff --git a/extensions/stable-diffusion-webui-aesthetic-gradients b/extensions/stable-diffusion-webui-aesthetic-gradients
deleted file mode 160000
index 411889ca..00000000
--- a/extensions/stable-diffusion-webui-aesthetic-gradients
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 411889ca602f20b8bb5e4d1af2b9686eab1913b1
diff --git a/extensions/stable-diffusion-webui-images-browse b/extensions/stable-diffusion-webui-images-browse
deleted file mode 160000
index 6b8e158d..00000000
--- a/extensions/stable-diffusion-webui-images-browse
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 6b8e158dc174f31f0bb73d74547917f5a6fba507
diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
deleted file mode 160000
index 4cff5855..00000000
--- a/extensions/stable-diffusion-webui-inspiration
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 4cff5855f3ca658fb5c9dd9745e5f2ae7bcc7074
diff --git a/extensions/stable-diffusion-webui-wildcards b/extensions/stable-diffusion-webui-wildcards
deleted file mode 160000
index 2c0e7d7e..00000000
--- a/extensions/stable-diffusion-webui-wildcards
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit 2c0e7d7e19e6c2b76b83189013aadb822776301f

From 394c4986211df4f7d9d8c9c26180edf8b9946d51 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 11:29:45 +0800
Subject: [PATCH 095/321] test

---
 extensions/stable-diffusion-webui-inspiration | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
index 4cff5855..a0b96664 160000
--- a/extensions/stable-diffusion-webui-inspiration
+++ b/extensions/stable-diffusion-webui-inspiration
@@ -1 +1 @@
-Subproject commit 4cff5855f3ca658fb5c9dd9745e5f2ae7bcc7074
+Subproject commit a0b96664d2524b87916ae463fbb65411b13a569b

From fe9740d2f5fa057e02529f8a81de21333adf4234 Mon Sep 17 00:00:00 2001
From: judgeou <judgeou@vip.qq.com>
Date: Sun, 23 Oct 2022 20:40:23 +0800
Subject: [PATCH 096/321] update deepdanbooru version

---
 launch.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/launch.py b/launch.py
index 333f308a..8affd410 100644
--- a/launch.py
+++ b/launch.py
@@ -111,7 +111,7 @@ def prepare_enviroment():
 
     gfpgan_package = os.environ.get('GFPGAN_PACKAGE', "git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379")
     clip_package = os.environ.get('CLIP_PACKAGE', "git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1")
-    deepdanbooru_package = os.environ.get('DEEPDANBOORU_PACKAGE', "git+https://github.com/KichangKim/DeepDanbooru.git@edf73df4cdaeea2cf00e9ac08bd8a9026b7a7b26")
+    deepdanbooru_package = os.environ.get('DEEPDANBOORU_PACKAGE', "git+https://github.com/KichangKim/DeepDanbooru.git@d91a2963bf87c6a770d74894667e9ffa9f6de7ff")
 
     xformers_windows_package = os.environ.get('XFORMERS_WINDOWS_PACKAGE', 'https://github.com/C43H66N12O12S2/stable-diffusion-webui/releases/download/f/xformers-0.0.14.dev0-cp310-cp310-win_amd64.whl')
 

From 68e9e978996c24772016ba9e4937367e91540681 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 19:07:17 +0900
Subject: [PATCH 097/321] Initial KR support - WIP

Localization WIP
---
 ko-KR.json | 76 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 ko-KR.json

diff --git a/ko-KR.json b/ko-KR.json
new file mode 100644
index 00000000..f93b3e16
--- /dev/null
+++ b/ko-KR.json
@@ -0,0 +1,76 @@
+{
+  "txt2img": "텍스트→이미지",
+  "img2img": "이미지→이미지",
+  "Extras": "부가기능",
+  "PNG Info": "PNG 정보",
+  "History": "기록",
+  "Checkpoint Merger": "체크포인트 병합",
+  "Train": "훈련",
+  "Settings": "설정",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Hypernetwork": "하이퍼네트워크",
+  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
+  "Generate": "생성",
+  "Style 1": "스타일 1",
+  "Style 2": "스타일 2",
+  "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
+  "Save style": "스타일 저장",
+  "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
+  "Do not do anything special": "아무것도 하지 않기",
+  "Generate forever": "반복 생성",
+  "Cancel generate forever": "반복 생성 취소",
+  "Interrupt": "중단",
+  "Skip": "건너뛰기",
+  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
+  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
+  "Prompt": "프롬프트",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt": "네거티브 프롬프트",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Sampling method": "샘플링 방법",
+  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
+  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Width": "가로",
+  "Height": "세로",
+  "Restore faces": "얼굴 보정",
+  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
+  "Tiling": "타일링",
+  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Highres. fix": "고해상도 보정",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Firstpass width": "초기 가로길이",
+  "Firstpass height": "초기 세로길이",
+  "Denoising strength": "디노이즈 강도",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Batch count": "배치 수",
+  "Batch size": "배치 크기",
+  "How many batches of images to create": "생성할 이미지 배치 수",
+  "How many image to create in a single batch": "한 배치당 이미지 수",
+  "CFG Scale": "CFG 스케일",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Seed": "시드",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
+  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
+  "Extra": "고급",
+  "Variation seed": "바리에이션 시드",
+  "Variation strength": "바리에이션 강도",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
+  "Resize seed from height": "시드 리사이징 가로길이",
+  "Resize seed from width": "시드 리사이징 세로길이",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Script": "스크립트",
+  "Save": "저장",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "Send to img2img": "이미지→이미지로 전송",
+  "Send to inpaint": "인페인트로 전송",
+  "Send to extras": "부가기능으로 전송",
+  "Open images output directory": "이미지 저장 경로 열기",
+  "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Always save all generated images": "생성된 이미지 항상 저장하기"
+}
\ No newline at end of file

From e7eea555715320a7b1977bf0e12c5ca1e2774a09 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 20:11:17 +0900
Subject: [PATCH 098/321] Update ko-KR.json

---
 localizations/ko-KR.json | 85 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 85 insertions(+)
 create mode 100644 localizations/ko-KR.json

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
new file mode 100644
index 00000000..a4367dc5
--- /dev/null
+++ b/localizations/ko-KR.json
@@ -0,0 +1,85 @@
+{
+  "⤡": "⤡",
+  "⊞": "⊞",
+  "×": "×",
+  "❮": "❮",
+  "❯": "❯",
+  "Loading...": "로딩중...",
+  "view": "",
+  "api": "api",
+  "•": "•",
+  "txt2img": "텍스트→이미지",
+  "img2img": "이미지→이미지",
+  "Extras": "부가기능",
+  "PNG Info": "PNG 정보",
+  "History": "기록",
+  "Checkpoint Merger": "체크포인트 병합",
+  "Train": "훈련",
+  "Settings": "설정",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Hypernetwork": "하이퍼네트워크",
+  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
+  "Generate": "생성",
+  "Style 1": "스타일 1",
+  "Style 2": "스타일 2",
+  "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
+  "Save style": "스타일 저장",
+  "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
+  "Do not do anything special": "아무것도 하지 않기",
+  "Generate forever": "반복 생성",
+  "Cancel generate forever": "반복 생성 취소",
+  "Interrupt": "중단",
+  "Skip": "건너뛰기",
+  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
+  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
+  "Prompt": "프롬프트",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt": "네거티브 프롬프트",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Sampling method": "샘플링 방법",
+  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
+  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Width": "가로",
+  "Height": "세로",
+  "Restore faces": "얼굴 보정",
+  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
+  "Tiling": "타일링",
+  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Highres. fix": "고해상도 보정",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Firstpass width": "초기 가로길이",
+  "Firstpass height": "초기 세로길이",
+  "Denoising strength": "디노이즈 강도",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Batch count": "배치 수",
+  "Batch size": "배치 크기",
+  "How many batches of images to create": "생성할 이미지 배치 수",
+  "How many image to create in a single batch": "한 배치당 이미지 수",
+  "CFG Scale": "CFG 스케일",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Seed": "시드",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
+  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
+  "Extra": "고급",
+  "Variation seed": "바리에이션 시드",
+  "Variation strength": "바리에이션 강도",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
+  "Resize seed from height": "시드 리사이징 가로길이",
+  "Resize seed from width": "시드 리사이징 세로길이",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Script": "스크립트",
+  "Save": "저장",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "Send to img2img": "이미지→이미지로 전송",
+  "Send to inpaint": "인페인트로 전송",
+  "Send to extras": "부가기능으로 전송",
+  "Open images output directory": "이미지 저장 경로 열기",
+  "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Always save all generated images": "생성된 이미지 항상 저장하기"
+}
\ No newline at end of file

From 021b02751ef08f8f5fc7cc2a3d7e40c599657dc4 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 20:12:54 +0900
Subject: [PATCH 099/321] Move ko-KR.json

---
 ko-KR.json | 76 ------------------------------------------------------
 1 file changed, 76 deletions(-)
 delete mode 100644 ko-KR.json

diff --git a/ko-KR.json b/ko-KR.json
deleted file mode 100644
index f93b3e16..00000000
--- a/ko-KR.json
+++ /dev/null
@@ -1,76 +0,0 @@
-{
-  "txt2img": "텍스트→이미지",
-  "img2img": "이미지→이미지",
-  "Extras": "부가기능",
-  "PNG Info": "PNG 정보",
-  "History": "기록",
-  "Checkpoint Merger": "체크포인트 병합",
-  "Train": "훈련",
-  "Settings": "설정",
-  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
-  "Hypernetwork": "하이퍼네트워크",
-  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
-  "Generate": "생성",
-  "Style 1": "스타일 1",
-  "Style 2": "스타일 2",
-  "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
-  "Save style": "스타일 저장",
-  "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
-  "Do not do anything special": "아무것도 하지 않기",
-  "Generate forever": "반복 생성",
-  "Cancel generate forever": "반복 생성 취소",
-  "Interrupt": "중단",
-  "Skip": "건너뛰기",
-  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
-  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
-  "Prompt": "프롬프트",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Negative prompt": "네거티브 프롬프트",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Sampling Steps": "샘플링 스텝 수",
-  "Sampling method": "샘플링 방법",
-  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
-  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
-  "Width": "가로",
-  "Height": "세로",
-  "Restore faces": "얼굴 보정",
-  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
-  "Tiling": "타일링",
-  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
-  "Highres. fix": "고해상도 보정",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
-  "Firstpass width": "초기 가로길이",
-  "Firstpass height": "초기 세로길이",
-  "Denoising strength": "디노이즈 강도",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
-  "Batch count": "배치 수",
-  "Batch size": "배치 크기",
-  "How many batches of images to create": "생성할 이미지 배치 수",
-  "How many image to create in a single batch": "한 배치당 이미지 수",
-  "CFG Scale": "CFG 스케일",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
-  "Seed": "시드",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
-  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
-  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
-  "Extra": "고급",
-  "Variation seed": "바리에이션 시드",
-  "Variation strength": "바리에이션 강도",
-  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
-  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
-  "Resize seed from height": "시드 리사이징 가로길이",
-  "Resize seed from width": "시드 리사이징 세로길이",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
-  "Script": "스크립트",
-  "Save": "저장",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
-  "Send to img2img": "이미지→이미지로 전송",
-  "Send to inpaint": "인페인트로 전송",
-  "Send to extras": "부가기능으로 전송",
-  "Open images output directory": "이미지 저장 경로 열기",
-  "Make Zip when Save?": "저장 시 Zip 생성하기",
-  "Always save all generated images": "생성된 이미지 항상 저장하기"
-}
\ No newline at end of file

From 1a96f856c4c3348708974b80d0de5a8ac18c1799 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 21:50:34 +0900
Subject: [PATCH 100/321] update ko-KR.json

Translated all text on txt2img window, plus some extra
---
 localizations/ko-KR.json | 42 ++++++++++++++++++++++++++++++++++++----
 1 file changed, 38 insertions(+), 4 deletions(-)

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
index a4367dc5..c6e55bb1 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko-KR.json
@@ -4,9 +4,10 @@
   "×": "×",
   "❮": "❮",
   "❯": "❯",
-  "Loading...": "로딩중...",
-  "view": "",
-  "api": "api",
+  "Loading...": "",
+  "view": "api 보이기",
+  "hide": "api 숨기기",
+  "api": "",
   "•": "•",
   "txt2img": "텍스트→이미지",
   "img2img": "이미지→이미지",
@@ -50,7 +51,7 @@
   "Tiling": "타일링",
   "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
   "Highres. fix": "고해상도 보정",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Firstpass width": "초기 가로길이",
   "Firstpass height": "초기 세로길이",
   "Denoising strength": "디노이즈 강도",
@@ -81,5 +82,38 @@
   "Send to extras": "부가기능으로 전송",
   "Open images output directory": "이미지 저장 경로 열기",
   "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Prompt matrix": "프롬프트 매트릭스",
+  "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)": "(|)를 이용해 프롬프트를 분리할 시 첫 프롬프트를 제외하고 모든 프롬프트의 조합마다 이미지를 생성합니다. 첫 프롬프트는 모든 조합에 포함되게 됩니다.",
+  "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
+  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
+  "Show Textbox": "텍스트박스 보이기",
+  "File with inputs": "설정값 파일",
+  "Prompts": "프롬프트",
+  "X/Y plot": "X/Y 플롯",
+  "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
+  "X type": "X축",
+  "Y type": "Y축",
+  "X values": "X 설정값",
+  "Y values": "Y 설정값",
+  "Separate values for X axis using commas.": "쉼표로 X축에 적용할 값 분리",
+  "Separate values for Y axis using commas.": "쉼표로 Y축에 적용할 값 분리",
+  "Draw legend": "범례 그리기",
+  "Include Separate Images": "분리된 이미지 포함하기",
+  "Keep -1 for seeds": "시드값 -1로 유지",
+  "Var. seed": "바리에이션 시드",
+  "Var. strength": "바리에이션 강도",
+  "Steps": "스텝 수",
+  "Prompt S/R": "프롬프트 스타일 변경",
+  "Prompt order": "프롬프트 순서",
+  "Sampler": "샘플러",
+  "Checkpoint name": "체크포인트 이름",
+  "Hypernet str.": "하이퍼네트워크 강도",
+  "Sigma Churn": "시그마 섞기",
+  "Sigma min": "시그마 최솟값",
+  "Sigma max": "시그마 최댓값",
+  "Sigma noise": "시그마 노이즈",
+  "Clip skip": "클립 건너뛰기",
+  "Denoising": "디노이징",
+  "Nothing": "없음",
   "Always save all generated images": "생성된 이미지 항상 저장하기"
 }
\ No newline at end of file

From e210b61d6a4189817e27b7a4f3c1028cdb67a868 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 18 Oct 2022 22:12:41 +0900
Subject: [PATCH 101/321] update ko-KR.json

---
 localizations/ko-KR.json | 1 +
 1 file changed, 1 insertion(+)

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
index c6e55bb1..b263b13c 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko-KR.json
@@ -115,5 +115,6 @@
   "Clip skip": "클립 건너뛰기",
   "Denoising": "디노이징",
   "Nothing": "없음",
+  "Apply settings": "설정 적용하기",
   "Always save all generated images": "생성된 이미지 항상 저장하기"
 }
\ No newline at end of file

From 499713c54697ae7ccdb264316307f4aa2c39faea Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 20 Oct 2022 19:20:39 +0900
Subject: [PATCH 102/321] Updated file with basic template and added new
 translations

Translation done in txt2img-img2img windows and following scripts
---
 localizations/ko-KR.json | 498 +++++++++++++++++++++++++++++++--------
 1 file changed, 400 insertions(+), 98 deletions(-)

diff --git a/localizations/ko-KR.json b/localizations/ko-KR.json
index b263b13c..7cc431c6 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko-KR.json
@@ -1,120 +1,422 @@
 {
-  "⤡": "⤡",
-  "⊞": "⊞",
   "×": "×",
+  "•": "•",
+  "⊞": "⊞",
   "❮": "❮",
   "❯": "❯",
-  "Loading...": "",
-  "view": "api 보이기",
-  "hide": "api 숨기기",
-  "api": "",
-  "•": "•",
-  "txt2img": "텍스트→이미지",
-  "img2img": "이미지→이미지",
-  "Extras": "부가기능",
-  "PNG Info": "PNG 정보",
-  "History": "기록",
-  "Checkpoint Merger": "체크포인트 병합",
-  "Train": "훈련",
-  "Settings": "설정",
-  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
-  "Hypernetwork": "하이퍼네트워크",
-  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
-  "Generate": "생성",
-  "Style 1": "스타일 1",
-  "Style 2": "스타일 2",
+  "⤡": "⤡",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
+  "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
+  "A merger of the two checkpoints will be generated in your": "A merger of the two checkpoints will be generated in your",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
   "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
-  "Save style": "스타일 저장",
+  "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+  "Add difference": "Add difference",
+  "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
+  "Add layer normalization": "Add layer normalization",
+  "Add model hash to generation information": "Add model hash to generation information",
+  "Add model name to generation information": "Add model name to generation information",
+  "Always print all generation info to standard output": "Always print all generation info to standard output",
+  "Always save all generated image grids": "Always save all generated image grids",
+  "Always save all generated images": "생성된 이미지 항상 저장하기",
+  "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
-  "Do not do anything special": "아무것도 하지 않기",
-  "Generate forever": "반복 생성",
-  "Cancel generate forever": "반복 생성 취소",
-  "Interrupt": "중단",
-  "Skip": "건너뛰기",
-  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
-  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
-  "Prompt": "프롬프트",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Negative prompt": "네거티브 프롬프트",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Sampling Steps": "샘플링 스텝 수",
-  "Sampling method": "샘플링 방법",
-  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
-  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
-  "Width": "가로",
-  "Height": "세로",
-  "Restore faces": "얼굴 보정",
-  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
-  "Tiling": "타일링",
-  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
-  "Highres. fix": "고해상도 보정",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
-  "Firstpass width": "초기 가로길이",
-  "Firstpass height": "초기 세로길이",
-  "Denoising strength": "디노이즈 강도",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Apply settings": "설정 적용하기",
+  "BSRGAN 4x": "BSRGAN 4x",
+  "Batch Process": "Batch Process",
   "Batch count": "배치 수",
+  "Batch from Directory": "Batch from Directory",
+  "Batch img2img": "이미지→이미지 배치",
   "Batch size": "배치 크기",
+  "CFG Scale": "CFG 스케일",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "Cancel generate forever": "반복 생성 취소",
+  "Check progress (first)": "Check progress (first)",
+  "Check progress": "Check progress",
+  "Checkpoint Merger": "체크포인트 병합",
+  "Checkpoint name": "체크포인트 이름",
+  "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Clip skip": "클립 건너뛰기",
+  "CodeFormer visibility": "CodeFormer visibility",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+  "Color variation": "색깔 다양성",
+  "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
+  "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
+  "Create embedding": "Create embedding",
+  "Create flipped copies": "Create flipped copies",
+  "Create hypernetwork": "Create hypernetwork",
+  "Crop and resize": "잘라낸 후 리사이징",
+  "Crop to fit": "Crop to fit",
+  "Custom Name (Optional)": "Custom Name (Optional)",
+  "DDIM": "DDIM",
+  "DPM adaptive": "DPM adaptive",
+  "DPM fast": "DPM fast",
+  "DPM2 Karras": "DPM2 Karras",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DPM2 a": "DPM2 a",
+  "DPM2": "DPM2",
+  "Dataset directory": "Dataset directory",
+  "Decode CFG scale": "디코딩 CFG 스케일",
+  "Decode steps": "디코딩 스텝 수",
+  "Delete": "Delete",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Denoising strength change factor": "디노이즈 강도 변경 배수",
+  "Denoising strength": "디노이즈 강도",
+  "Denoising": "디노이징",
+  "Destination directory": "Destination directory",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
+  "Directory for saving images using the Save button": "Directory for saving images using the Save button",
+  "Directory name pattern": "Directory name pattern",
+  "Do not add watermark to images": "Do not add watermark to images",
+  "Do not do anything special": "아무것도 하지 않기",
+  "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
+  "Do not show any images in results for web": "Do not show any images in results for web",
+  "Download localization template": "Download localization template",
+  "Draw legend": "범례 그리기",
+  "Draw mask": "마스크 직접 그리기",
+  "Drop File Here": "Drop File Here",
+  "Drop Image Here": "Drop Image Here",
+  "ESRGAN_4x": "ESRGAN_4x",
+  "Embedding": "Embedding",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
+  "Enable full page image viewer": "Enable full page image viewer",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+  "End Page": "End Page",
+  "Enter hypernetwork layer structure": "Enter hypernetwork layer structure",
+  "Eta noise seed delta": "Eta noise seed delta",
+  "Eta": "Eta",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Euler a": "Euler a",
+  "Euler": "Euler",
+  "Extra": "고급",
+  "Extras": "부가기능",
+  "Face restoration": "Face restoration",
+  "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
+  "File Name": "File Name",
+  "File format for grids": "File format for grids",
+  "File format for images": "File format for images",
+  "File with inputs": "설정값 파일",
+  "File": "File",
+  "Filename join string": "Filename join string",
+  "Filename word regex": "Filename word regex",
+  "Filter NSFW content": "Filter NSFW content",
+  "First Page": "First Page",
+  "Firstpass height": "초기 세로길이",
+  "Firstpass width": "초기 가로길이",
+  "Font for image grids that have text": "Font for image grids that have text",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
+  "GFPGAN visibility": "GFPGAN visibility",
+  "Generate Info": "Generate Info",
+  "Generate forever": "반복 생성",
+  "Generate": "생성",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
+  "Height": "세로",
+  "Heun": "Heun",
+  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
+  "Highres. fix": "고해상도 보정",
+  "History": "기록",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
-  "CFG Scale": "CFG 스케일",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
-  "Seed": "시드",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
-  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
-  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
-  "Extra": "고급",
-  "Variation seed": "바리에이션 시드",
-  "Variation strength": "바리에이션 강도",
-  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
+  "How many times to repeat processing an image and using it as input for the next iteration": "이미지를 생성 후 원본으로 몇 번 반복해서 사용할지 결정하는 값",
+  "How much to blur the mask before processing, in pixels.": "이미지 생성 전 마스크를 얼마나 블러처리할지 결정하는 값. 픽셀 단위",
   "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
+  "Hypernet str.": "하이퍼네트워크 강도",
+  "Hypernetwork strength": "Hypernetwork strength",
+  "Hypernetwork": "하이퍼네트워크",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "Image for img2img": "Image for img2img",
+  "Image for inpainting with mask": "Image for inpainting with mask",
+  "Image": "Image",
+  "Images filename pattern": "Images filename pattern",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
+  "Include Separate Images": "분리된 이미지 포함하기",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+  "Initialization text": "Initialization text",
+  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
+  "Inpaint at full resolution": "전체 해상도로 인페인트하기",
+  "Inpaint masked": "마스크만 처리",
+  "Inpaint not masked": "마스크 이외만 처리",
+  "Inpaint": "인페인트",
+  "Input directory": "인풋 이미지 경로",
+  "Interpolation Method": "Interpolation Method",
+  "Interrogate\nCLIP": "CLIP\n분석",
+  "Interrogate\nDeepBooru": "DeepBooru\n분석",
+  "Interrogate Options": "Interrogate Options",
+  "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
+  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
+  "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
+  "Interrogate: maximum description length": "Interrogate: maximum description length",
+  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
+  "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
+  "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+  "Interrupt": "중단",
+  "Just resize": "리사이징",
+  "Keep -1 for seeds": "시드값 -1로 유지",
+  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "LDSR": "LDSR",
+  "LMS Karras": "LMS Karras",
+  "LMS": "LMS",
+  "Label": "Label",
+  "Lanczos": "Lanczos",
+  "Learning rate": "Learning rate",
+  "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "Loading...": "로딩 중...",
+  "Localization (requires restart)": "Localization (requires restart)",
+  "Log directory": "Log directory",
+  "Loopback": "루프백",
+  "Loops": "루프 수",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
+  "Make Zip when Save?": "저장 시 Zip 생성하기",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Mask blur": "마스크 블러",
+  "Mask mode": "Mask mode",
+  "Mask": "마스크",
+  "Masked content": "마스크된 부분",
+  "Masking mode": "Masking mode",
+  "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+  "Max steps": "Max steps",
+  "Modules": "Modules",
+  "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
+  "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - set to 0 to get model A",
+  "Name": "Name",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt": "네거티브 프롬프트",
+  "Next Page": "Next Page",
+  "None": "None",
+  "Nothing": "없음",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
+  "Number of vectors per token": "Number of vectors per token",
+  "Open images output directory": "이미지 저장 경로 열기",
+  "Open output directory": "Open output directory",
+  "Original negative prompt": "기존 네거티브 프롬프트",
+  "Original prompt": "기존 프롬프트",
+  "Outpainting direction": "아웃페인팅 방향",
+  "Outpainting mk2": "아웃페인팅 마크 2",
+  "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
+  "Output directory for images from extras tab": "Output directory for images from extras tab",
+  "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
+  "Output directory for img2img grids": "Output directory for img2img grids",
+  "Output directory for img2img images": "Output directory for img2img images",
+  "Output directory for txt2img grids": "Output directory for txt2img grids",
+  "Output directory for txt2img images": "Output directory for txt2img images",
+  "Output directory": "이미지 저장 경로",
+  "Override `Denoising strength` to 1?": "디노이즈 강도를 1로 적용할까요?",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
+  "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
+  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
+  "PLMS": "PLMS",
+  "PNG Info": "PNG 정보",
+  "Page Index": "Page Index",
+  "Path to directory where to write outputs": "Path to directory where to write outputs",
+  "Path to directory with input images": "Path to directory with input images",
+  "Paths for saving": "Paths for saving",
+  "Pixels to expand": "확장할 픽셀 수",
+  "Poor man's outpainting": "가난뱅이의 아웃페인팅",
+  "Preprocess images": "Preprocess images",
+  "Preprocess": "Preprocess",
+  "Prev Page": "Prev Page",
+  "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
+  "Primary model (A)": "Primary model (A)",
+  "Process an image, use it as an input, repeat.": "이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
+  "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
+  "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Prompt S/R": "프롬프트 스타일 변경",
+  "Prompt matrix": "프롬프트 매트릭스",
+  "Prompt order": "프롬프트 순서",
+  "Prompt template file": "Prompt template file",
+  "Prompt": "프롬프트",
+  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
+  "Prompts": "프롬프트",
+  "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
+  "Quality for saved jpeg images": "Quality for saved jpeg images",
+  "Quicksettings list": "Quicksettings list",
+  "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+  "Randomness": "랜덤성",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
+  "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "Renew Page": "Renew Page",
+  "Request browser notifications": "Request browser notifications",
+  "Resize and fill": "리사이징 후 채우기",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
+  "Resize mode": "Resize mode",
   "Resize seed from height": "시드 리사이징 가로길이",
   "Resize seed from width": "시드 리사이징 세로길이",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
-  "Script": "스크립트",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
+  "Resize": "Resize",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+  "Restore faces": "얼굴 보정",
+  "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
+  "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+  "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
+  "Run": "Run",
+  "SD upscale": "SD 업스케일링",
+  "Sampler parameters": "Sampler parameters",
+  "Sampler": "샘플러",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Sampling method": "샘플링 방법",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "Save a copy of embedding to log directory every N steps, 0 to disable",
+  "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
+  "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+  "Save an image to log directory every N steps, 0 to disable": "Save an image to log directory every N steps, 0 to disable",
+  "Save as float16": "Save as float16",
+  "Save grids to a subdirectory": "Save grids to a subdirectory",
+  "Save images to a subdirectory": "Save images to a subdirectory",
+  "Save images with embedding in PNG chunks": "Save images with embedding in PNG chunks",
+  "Save style": "스타일 저장",
+  "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
   "Save": "저장",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "Saving images/grids": "Saving images/grids",
+  "Saving to a directory": "Saving to a directory",
+  "Scale by": "Scale by",
+  "Scale to": "Scale to",
+  "Script": "스크립트",
+  "ScuNET GAN": "ScuNET GAN",
+  "ScuNET PSNR": "ScuNET PSNR",
+  "Secondary model (B)": "Secondary model (B)",
+  "See": "See",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "Seed": "시드",
+  "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
-  "Send to extras": "부가기능으로 전송",
-  "Open images output directory": "이미지 저장 경로 열기",
-  "Make Zip when Save?": "저장 시 Zip 생성하기",
-  "Prompt matrix": "프롬프트 매트릭스",
+  "Send to txt2img": "텍스트→이미지로 전송",
   "Separate prompts into parts using vertical pipe character (|) and the script will create a picture for every combination of them (except for the first part, which will be present in all combinations)": "(|)를 이용해 프롬프트를 분리할 시 첫 프롬프트를 제외하고 모든 프롬프트의 조합마다 이미지를 생성합니다. 첫 프롬프트는 모든 조합에 포함되게 됩니다.",
-  "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
-  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
-  "Show Textbox": "텍스트박스 보이기",
-  "File with inputs": "설정값 파일",
-  "Prompts": "프롬프트",
-  "X/Y plot": "X/Y 플롯",
-  "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
-  "X type": "X축",
-  "Y type": "Y축",
-  "X values": "X 설정값",
-  "Y values": "Y 설정값",
   "Separate values for X axis using commas.": "쉼표로 X축에 적용할 값 분리",
   "Separate values for Y axis using commas.": "쉼표로 Y축에 적용할 값 분리",
-  "Draw legend": "범례 그리기",
-  "Include Separate Images": "분리된 이미지 포함하기",
-  "Keep -1 for seeds": "시드값 -1로 유지",
+  "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "Settings": "설정",
+  "Show Textbox": "텍스트박스 보이기",
+  "Show generation progress in window title.": "Show generation progress in window title.",
+  "Show grid in results for web": "Show grid in results for web",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
+  "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
+  "Show progressbar": "Show progressbar",
+  "Show result images": "Show result images",
+  "Sigma Churn": "시그마 섞기",
+  "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
+  "Sigma max": "시그마 최댓값",
+  "Sigma min": "시그마 최솟값",
+  "Sigma noise": "시그마 노이즈",
+  "Single Image": "Single Image",
+  "Skip": "건너뛰기",
+  "Source directory": "Source directory",
+  "Source": "Source",
+  "Split oversized images into two": "Split oversized images into two",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Stable Diffusion": "Stable Diffusion",
+  "Steps": "스텝 수",
+  "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
+  "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
+  "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
+  "Style 1": "스타일 1",
+  "Style 2": "스타일 2",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+  "SwinIR 4x": "SwinIR 4x",
+  "System": "System",
+  "Tertiary model (C)": "Tertiary model (C)",
+  "Textbox": "Textbox",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
+  "Tile overlap": "타일 겹침",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
+  "Tile size for all SwinIR.": "Tile size for all SwinIR.",
+  "Tiling": "타일링",
+  "Train Embedding": "Train Embedding",
+  "Train Hypernetwork": "Train Hypernetwork",
+  "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Train an embedding; must specify a directory with a set of 1:1 ratio images",
+  "Train": "훈련",
+  "Training": "Training",
+  "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
+  "Upload mask": "마스크 업로드하기",
+  "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
+  "Upscaler 2 visibility": "Upscaler 2 visibility",
+  "Upscaler for img2img": "Upscaler for img2img",
+  "Upscaler": "업스케일러",
+  "Upscaling": "Upscaling",
+  "Use BLIP for caption": "Use BLIP for caption",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
+  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
+  "Use deepbooru for caption": "Use deepbooru for caption",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
+  "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
+  "User interface": "User interface",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
   "Var. seed": "바리에이션 시드",
   "Var. strength": "바리에이션 강도",
-  "Steps": "스텝 수",
-  "Prompt S/R": "프롬프트 스타일 변경",
-  "Prompt order": "프롬프트 순서",
-  "Sampler": "샘플러",
-  "Checkpoint name": "체크포인트 이름",
-  "Hypernet str.": "하이퍼네트워크 강도",
-  "Sigma Churn": "시그마 섞기",
-  "Sigma min": "시그마 최솟값",
-  "Sigma max": "시그마 최댓값",
-  "Sigma noise": "시그마 노이즈",
-  "Clip skip": "클립 건너뛰기",
-  "Denoising": "디노이징",
-  "Nothing": "없음",
-  "Apply settings": "설정 적용하기",
-  "Always save all generated images": "생성된 이미지 항상 저장하기"
+  "Variation seed": "바리에이션 시드",
+  "Variation strength": "바리에이션 강도",
+  "Weighted sum": "Weighted sum",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
+  "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
+  "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+  "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
+  "Width": "가로",
+  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
+  "X type": "X축",
+  "X values": "X 설정값",
+  "X/Y plot": "X/Y 플롯",
+  "Y type": "Y축",
+  "Y values": "Y 설정값",
+  "api": "",
+  "built with gradio": "gradio로 제작되었습니다",
+  "checkpoint": "checkpoint",
+  "directory.": "directory.",
+  "down": "아래쪽",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
+  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+  "extras history": "extras history",
+  "fill it with colors of the image": "이미지의 색상으로 채우기",
+  "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
+  "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
+  "fill": "채우기",
+  "for detailed explanation.": "for detailed explanation.",
+  "hide": "api 숨기기",
+  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
+  "img2img DDIM discretize": "img2img DDIM discretize",
+  "img2img alternative test": "이미지→이미지 대체버전 테스트",
+  "img2img history": "img2img history",
+  "img2img": "이미지→이미지",
+  "keep whatever was there originally": "이미지 원본 유지",
+  "latent noise": "잠재 노이즈",
+  "latent nothing": "잠재 공백",
+  "left": "왼쪽",
+  "number of images to delete consecutively next": "number of images to delete consecutively next",
+  "or": "or",
+  "original": "원본 유지",
+  "quad": "quad",
+  "right": "오른쪽",
+  "set_index": "set_index",
+  "should be 2 or lower.": "이 2 이하여야 합니다.",
+  "sigma churn": "sigma churn",
+  "sigma noise": "sigma noise",
+  "sigma tmin": "sigma tmin",
+  "txt2img history": "txt2img history",
+  "txt2img": "텍스트→이미지",
+  "uniform": "uniform",
+  "up": "위쪽",
+  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
+  "view": "api 보이기",
+  "wiki": "wiki"
 }
\ No newline at end of file

From 6cfe23a6f183be58746feb7d7d58f83e877ed630 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Sun, 23 Oct 2022 22:37:40 +0900
Subject: [PATCH 103/321] Rename ko-KR.json to ko_KR.json

---
 localizations/{ko-KR.json => ko_KR.json} | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
 rename localizations/{ko-KR.json => ko_KR.json} (98%)

diff --git a/localizations/ko-KR.json b/localizations/ko_KR.json
similarity index 98%
rename from localizations/ko-KR.json
rename to localizations/ko_KR.json
index 7cc431c6..f665042e 100644
--- a/localizations/ko-KR.json
+++ b/localizations/ko_KR.json
@@ -419,4 +419,4 @@
   "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
   "view": "api 보이기",
   "wiki": "wiki"
-}
\ No newline at end of file
+}

From 016712fc4cd523fb18123eed4281245f0dcc5bc3 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Sun, 23 Oct 2022 22:38:49 +0900
Subject: [PATCH 104/321] Update ko_KR.json

Updated translation for everything except the Settings tab
---
 localizations/ko_KR.json | 381 ++++++++++++++++++++++-----------------
 1 file changed, 219 insertions(+), 162 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index f665042e..a48ece87 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -5,118 +5,158 @@
   "❮": "❮",
   "❯": "❯",
   "⤡": "⤡",
+  " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
+  " images during ": "개의 이미지를 불러왔고, 생성 기간은 ",
+  ", divided into ": "입니다. ",
+  " pages": "페이지로 나뉘어 표시합니다.",
   "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
-  "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
-  "A merger of the two checkpoints will be generated in your": "A merger of the two checkpoints will be generated in your",
+  "[wiki]": " [위키] 참조",
+  "A directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리를 선택해 주세요.",
+  "A merger of the two checkpoints will be generated in your": "체크포인트들이 병합된 결과물이 당신의",
   "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
   "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
   "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
-  "Add difference": "Add difference",
+  "Add difference": "차이점 추가",
   "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
-  "Add layer normalization": "Add layer normalization",
+  "Add layer normalization": "레이어 정규화(normalization) 추가",
   "Add model hash to generation information": "Add model hash to generation information",
   "Add model name to generation information": "Add model name to generation information",
+  "Aesthetic imgs embedding": "스타일 이미지 임베딩",
+  "Aesthetic learning rate": "스타일 학습 수",
+  "Aesthetic steps": "스타일 스텝 수",
+  "Aesthetic text for imgs": "스타일 텍스트",
+  "Aesthetic weight": "스타일 가중치",
   "Always print all generation info to standard output": "Always print all generation info to standard output",
   "Always save all generated image grids": "Always save all generated image grids",
   "Always save all generated images": "생성된 이미지 항상 저장하기",
+  "api": "",
+  "append": "뒤에 삽입",
   "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
-  "BSRGAN 4x": "BSRGAN 4x",
-  "Batch Process": "Batch Process",
   "Batch count": "배치 수",
-  "Batch from Directory": "Batch from Directory",
+  "Batch from Directory": "저장 경로로부터 여러장 처리",
   "Batch img2img": "이미지→이미지 배치",
+  "Batch Process": "이미지 여러장 처리",
   "Batch size": "배치 크기",
-  "CFG Scale": "CFG 스케일",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "BSRGAN 4x": "BSRGAN 4x",
+  "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
-  "Check progress (first)": "Check progress (first)",
+  "CFG Scale": "CFG 스케일",
   "Check progress": "Check progress",
+  "Check progress (first)": "Check progress (first)",
+  "checkpoint": " 체크포인트 ",
   "Checkpoint Merger": "체크포인트 병합",
   "Checkpoint name": "체크포인트 이름",
   "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
   "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
+  "Click to Upload": "Click to Upload",
   "Clip skip": "클립 건너뛰기",
-  "CodeFormer visibility": "CodeFormer visibility",
-  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "CodeFormer visibility": "CodeFormer 가시성",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
   "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
   "Color variation": "색깔 다양성",
+  "Collect": "즐겨찾기",
+  "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
-  "Create embedding": "Create embedding",
-  "Create flipped copies": "Create flipped copies",
-  "Create hypernetwork": "Create hypernetwork",
+  "Create aesthetic images embedding": "Create aesthetic images embedding",
+  "Create embedding": "임베딩 생성",
+  "Create flipped copies": "좌우로 뒤집은 복사본 생성",
+  "Create hypernetwork": "하이퍼네트워크 생성",
+  "Create images embedding": "Create images embedding",
   "Crop and resize": "잘라낸 후 리사이징",
-  "Crop to fit": "Crop to fit",
-  "Custom Name (Optional)": "Custom Name (Optional)",
+  "Crop to fit": "잘라내서 맞추기",
+  "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
+  "Dataset directory": "데이터셋 경로",
   "DDIM": "DDIM",
-  "DPM adaptive": "DPM adaptive",
-  "DPM fast": "DPM fast",
-  "DPM2 Karras": "DPM2 Karras",
-  "DPM2 a Karras": "DPM2 a Karras",
-  "DPM2 a": "DPM2 a",
-  "DPM2": "DPM2",
-  "Dataset directory": "Dataset directory",
   "Decode CFG scale": "디코딩 CFG 스케일",
   "Decode steps": "디코딩 스텝 수",
-  "Delete": "Delete",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
-  "Denoising strength change factor": "디노이즈 강도 변경 배수",
-  "Denoising strength": "디노이즈 강도",
+  "Delete": "삭제",
   "Denoising": "디노이징",
-  "Destination directory": "Destination directory",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
+  "Denoising strength": "디노이즈 강도",
+  "Denoising strength change factor": "디노이즈 강도 변경 배수",
+  "Destination directory": "결과물 저장 경로",
   "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
   "Directory for saving images using the Save button": "Directory for saving images using the Save button",
   "Directory name pattern": "Directory name pattern",
+  "directory.": "저장 경로에 저장됩니다.",
   "Do not add watermark to images": "Do not add watermark to images",
   "Do not do anything special": "아무것도 하지 않기",
   "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
   "Do not show any images in results for web": "Do not show any images in results for web",
+  "down": "아래쪽",
   "Download localization template": "Download localization template",
+  "Download": "다운로드",
+  "DPM adaptive": "DPM adaptive",
+  "DPM fast": "DPM fast",
+  "DPM2": "DPM2",
+  "DPM2 a": "DPM2 a",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DPM2 Karras": "DPM2 Karras",
   "Draw legend": "범례 그리기",
   "Draw mask": "마스크 직접 그리기",
   "Drop File Here": "Drop File Here",
   "Drop Image Here": "Drop Image Here",
-  "ESRGAN_4x": "ESRGAN_4x",
-  "Embedding": "Embedding",
+  "Embedding": "임베딩",
+  "Embedding Learning rate": "임베딩 학습률",
   "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
   "Enable full page image viewer": "Enable full page image viewer",
   "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
-  "End Page": "End Page",
-  "Enter hypernetwork layer structure": "Enter hypernetwork layer structure",
-  "Eta noise seed delta": "Eta noise seed delta",
+  "End Page": "마지막 페이지",
+  "Enter hypernetwork layer structure": "하이퍼네트워크 레이어 구조 입력",
+  "Error": "오류",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "ESRGAN_4x": "ESRGAN_4x",
   "Eta": "Eta",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
-  "Euler a": "Euler a",
+  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
+  "Eta noise seed delta": "Eta noise seed delta",
   "Euler": "Euler",
+  "Euler a": "Euler a",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
+  "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
   "Extra": "고급",
   "Extras": "부가기능",
+  "extras history": "extras history",
   "Face restoration": "Face restoration",
   "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
-  "File Name": "File Name",
+  "favorites": "즐겨찾기",
+  "File": "File",
   "File format for grids": "File format for grids",
   "File format for images": "File format for images",
+  "File Name": "파일 이름",
   "File with inputs": "설정값 파일",
-  "File": "File",
   "Filename join string": "Filename join string",
   "Filename word regex": "Filename word regex",
+  "fill": "채우기",
+  "fill it with colors of the image": "이미지의 색상으로 채우기",
+  "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
+  "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
   "Filter NSFW content": "Filter NSFW content",
-  "First Page": "First Page",
+  "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
   "Font for image grids that have text": "Font for image grids that have text",
+  "for detailed explanation.": "를 참조하십시오.",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
-  "GFPGAN visibility": "GFPGAN visibility",
-  "Generate Info": "Generate Info",
-  "Generate forever": "반복 생성",
   "Generate": "생성",
+  "Generate forever": "반복 생성",
+  "Generate Info": "생성 정보",
+  "GFPGAN visibility": "GFPGAN 가시성",
   "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
   "Height": "세로",
   "Heun": "Heun",
+  "hide": "api 숨기기",
   "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
   "Highres. fix": "고해상도 보정",
   "History": "기록",
+  "Image Browser": "이미지 브라우저",
+  "Images directory": "이미지 경로",
+  "extras": "부가기능",
+  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
   "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
@@ -124,26 +164,32 @@
   "How much to blur the mask before processing, in pixels.": "이미지 생성 전 마스크를 얼마나 블러처리할지 결정하는 값. 픽셀 단위",
   "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "바리에이션을 얼마나 줄지 정하는 수치 - 0일 경우 아무것도 바뀌지 않고, 1일 경우 바리에이션 시드로부터 생성된 이미지를 얻게 됩니다. (Ancestral 샘플러 제외 - 이 경우에는 좀 다른 무언가를 얻게 됩니다)",
   "Hypernet str.": "하이퍼네트워크 강도",
-  "Hypernetwork strength": "Hypernetwork strength",
   "Hypernetwork": "하이퍼네트워크",
+  "Hypernetwork Learning rate": "하이퍼네트워크 학습률",
+  "Hypernetwork strength": "Hypernetwork strength",
   "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
   "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
   "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "ignore": "무시",
+  "Image": "Image",
   "Image for img2img": "Image for img2img",
   "Image for inpainting with mask": "Image for inpainting with mask",
-  "Image": "Image",
   "Images filename pattern": "Images filename pattern",
+  "img2img": "이미지→이미지",
+  "img2img alternative test": "이미지→이미지 대체버전 테스트",
+  "img2img DDIM discretize": "img2img DDIM discretize",
+  "img2img history": "img2img history",
   "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
   "Include Separate Images": "분리된 이미지 포함하기",
   "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
-  "Initialization text": "Initialization text",
-  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
+  "Initialization text": "초기화 텍스트",
+  "Inpaint": "인페인트",
   "Inpaint at full resolution": "전체 해상도로 인페인트하기",
+  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
-  "Inpaint": "인페인트",
   "Input directory": "인풋 이미지 경로",
-  "Interpolation Method": "Interpolation Method",
+  "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
   "Interrogate Options": "Interrogate Options",
@@ -156,49 +202,68 @@
   "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
   "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
   "Interrupt": "중단",
+  "Is negative text": "네거티브 텍스트일시 체크",
   "Just resize": "리사이징",
   "Keep -1 for seeds": "시드값 -1로 유지",
-  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
-  "LDSR": "LDSR",
-  "LMS Karras": "LMS Karras",
-  "LMS": "LMS",
+  "keep whatever was there originally": "이미지 원본 유지",
   "Label": "Label",
   "Lanczos": "Lanczos",
-  "Learning rate": "Learning rate",
-  "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
+  "Last prompt:": "Last prompt:",
+  "Last saved hypernetwork:": "Last saved hypernetwork:",
+  "Last saved image:": "Last saved image:",
+  "latent noise": "잠재 노이즈",
+  "latent nothing": "잠재 공백",
+  "LDSR": "LDSR",
+  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "leakyrelu": "leakyrelu",
+  "Leave blank to save images to the default path.": "기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
+  "left": "왼쪽",
+  "linear": "linear",
   "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "LMS": "LMS",
+  "LMS Karras": "LMS Karras",
+  "Load": "불러오기",
   "Loading...": "로딩 중...",
   "Localization (requires restart)": "Localization (requires restart)",
-  "Log directory": "Log directory",
+  "Log directory": "로그 경로",
   "Loopback": "루프백",
   "Loops": "루프 수",
+  "Loss:": "Loss:",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
   "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
   "Make Zip when Save?": "저장 시 Zip 생성하기",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
+  "Mask": "마스크",
   "Mask blur": "마스크 블러",
   "Mask mode": "Mask mode",
-  "Mask": "마스크",
   "Masked content": "마스크된 부분",
   "Masking mode": "Masking mode",
   "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
-  "Max steps": "Max steps",
-  "Modules": "Modules",
+  "Max steps": "최대 스텝 수",
+  "Modules": "모듈",
   "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
-  "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - set to 0 to get model A",
-  "Name": "Name",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
+  "Multiplier (M) - set to 0 to get model A": "배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
+  "Name": "이름",
   "Negative prompt": "네거티브 프롬프트",
-  "Next Page": "Next Page",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Next batch": "다음 묶음",
+  "Next Page": "다음 페이지",
   "None": "None",
   "Nothing": "없음",
+  "Nothing found in the image.": "Nothing found in the image.",
+  "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
-  "Number of vectors per token": "Number of vectors per token",
+  "Number of vectors per token": "토큰별 벡터 수",
+  "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
-  "Open output directory": "Open output directory",
+  "Open output directory": "저장 경로 열기",
+  "or": "or",
+  "original": "원본 유지",
   "Original negative prompt": "기존 네거티브 프롬프트",
   "Original prompt": "기존 프롬프트",
   "Outpainting direction": "아웃페인팅 방향",
   "Outpainting mk2": "아웃페인팅 마크 2",
+  "Output directory": "이미지 저장 경로",
   "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
   "Output directory for images from extras tab": "Output directory for images from extras tab",
   "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
@@ -206,46 +271,54 @@
   "Output directory for img2img images": "Output directory for img2img images",
   "Output directory for txt2img grids": "Output directory for txt2img grids",
   "Output directory for txt2img images": "Output directory for txt2img images",
-  "Output directory": "이미지 저장 경로",
   "Override `Denoising strength` to 1?": "디노이즈 강도를 1로 적용할까요?",
-  "Override `Sampling Steps` to the same value as `Decode steps`?": "샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
-  "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
   "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
-  "PLMS": "PLMS",
-  "PNG Info": "PNG 정보",
-  "Page Index": "Page Index",
+  "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "샘플링 스텝 수를 디코딩 스텝 수와 동일하게 적용할까요?",
+  "Overwrite Old Embedding": "기존 임베딩 덮어쓰기",
+  "Overwrite Old Hypernetwork": "기존 하이퍼네트워크 덮어쓰기",
+  "Page Index": "페이지 인덱스",
+  "parameters": "설정값",
   "Path to directory where to write outputs": "Path to directory where to write outputs",
-  "Path to directory with input images": "Path to directory with input images",
+  "Path to directory with input images": "인풋 이미지가 있는 경로",
   "Paths for saving": "Paths for saving",
   "Pixels to expand": "확장할 픽셀 수",
+  "PLMS": "PLMS",
+  "PNG Info": "PNG 정보",
   "Poor man's outpainting": "가난뱅이의 아웃페인팅",
-  "Preprocess images": "Preprocess images",
-  "Preprocess": "Preprocess",
-  "Prev Page": "Prev Page",
+  "Preparing dataset from": "Preparing dataset from",
+  "prepend": "앞에 삽입",
+  "Preprocess": "전처리",
+  "Preprocess images": "이미지 전처리",
+  "Prev batch": "이전 묶음",
+  "Prev Page": "이전 페이지",
   "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
-  "Primary model (A)": "Primary model (A)",
+  "Primary model (A)": "주 모델 (A)",
   "Process an image, use it as an input, repeat.": "이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
   "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
   "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
+  "Prompt": "프롬프트",
   "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
-  "Prompt S/R": "프롬프트 스타일 변경",
   "Prompt matrix": "프롬프트 매트릭스",
   "Prompt order": "프롬프트 순서",
-  "Prompt template file": "Prompt template file",
-  "Prompt": "프롬프트",
-  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
+  "Prompt S/R": "프롬프트 스타일 변경",
+  "Prompt template file": "프롬프트 템플릿 파일 경로",
   "Prompts": "프롬프트",
+  "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
   "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
+  "quad": "quad",
   "Quality for saved jpeg images": "Quality for saved jpeg images",
   "Quicksettings list": "Quicksettings list",
   "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
   "Randomness": "랜덤성",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
-  "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
   "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
   "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "relu": "relu",
   "Renew Page": "Renew Page",
   "Request browser notifications": "Request browser notifications",
+  "Resize": "리사이징 배수",
   "Resize and fill": "리사이징 후 채우기",
   "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
   "Resize mode": "Resize mode",
@@ -253,42 +326,43 @@
   "Resize seed from width": "시드 리사이징 세로길이",
   "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
   "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
-  "Resize": "Resize",
   "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
   "Restore faces": "얼굴 보정",
   "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
-  "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
-  "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+  "Result = A * (1 - M) + B * M": "결과물 = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "결과물 = A + (B - C) * M",
   "Reuse seed from last generation, mostly useful if it was randomed": "이전 생성에서 사용된 시드를 불러옵니다. 랜덤하게 생성했을 시 도움됨",
-  "Run": "Run",
-  "SD upscale": "SD 업스케일링",
-  "Sampler parameters": "Sampler parameters",
+  "right": "오른쪽",
+  "Run": "가동",
   "Sampler": "샘플러",
-  "Sampling Steps": "샘플링 스텝 수",
+  "Sampler parameters": "Sampler parameters",
   "Sampling method": "샘플링 방법",
-  "Save a copy of embedding to log directory every N steps, 0 to disable": "Save a copy of embedding to log directory every N steps, 0 to disable",
+  "Sampling Steps": "샘플링 스텝 수",
+  "Save": "저장",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 임베딩을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
   "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
   "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
   "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
-  "Save an image to log directory every N steps, 0 to disable": "Save an image to log directory every N steps, 0 to disable",
-  "Save as float16": "Save as float16",
+  "Save an image to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 이미지를 저장합니다, 비활성화하려면 0으로 설정하십시오.",
+  "Save as float16": "float16으로 저장",
   "Save grids to a subdirectory": "Save grids to a subdirectory",
   "Save images to a subdirectory": "Save images to a subdirectory",
-  "Save images with embedding in PNG chunks": "Save images with embedding in PNG chunks",
+  "Save images with embedding in PNG chunks": "PNG 청크로 이미지에 임베딩을 포함시켜 저장",
   "Save style": "스타일 저장",
   "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
-  "Save": "저장",
   "Saving images/grids": "Saving images/grids",
   "Saving to a directory": "Saving to a directory",
-  "Scale by": "Scale by",
-  "Scale to": "Scale to",
+  "Scale by": "스케일링 배수 지정",
+  "Scale to": "스케일링 사이즈 지정",
   "Script": "스크립트",
   "ScuNET GAN": "ScuNET GAN",
   "ScuNET PSNR": "ScuNET PSNR",
-  "Secondary model (B)": "Secondary model (B)",
-  "See": "See",
-  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "SD upscale": "SD 업스케일링",
+  "Secondary model (B)": "2차 모델 (B)",
+  "See": "자세한 설명은",
   "Seed": "시드",
+  "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
+  "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
@@ -297,26 +371,36 @@
   "Separate values for X axis using commas.": "쉼표로 X축에 적용할 값 분리",
   "Separate values for Y axis using commas.": "쉼표로 Y축에 적용할 값 분리",
   "Set seed to -1, which will cause a new random number to be used every time": "시드를 -1로 적용 - 매번 랜덤한 시드가 적용되게 됩니다.",
+  "set_index": "set_index",
   "Settings": "설정",
-  "Show Textbox": "텍스트박스 보이기",
+  "should be 2 or lower.": "이 2 이하여야 합니다.",
   "Show generation progress in window title.": "Show generation progress in window title.",
   "Show grid in results for web": "Show grid in results for web",
   "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
   "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
   "Show progressbar": "Show progressbar",
-  "Show result images": "Show result images",
-  "Sigma Churn": "시그마 섞기",
+  "Show result images": "이미지 결과 보이기",
+  "Show Textbox": "텍스트박스 보이기",
   "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
+  "Sigma Churn": "시그마 섞기",
+  "sigma churn": "sigma churn",
   "Sigma max": "시그마 최댓값",
   "Sigma min": "시그마 최솟값",
   "Sigma noise": "시그마 노이즈",
-  "Single Image": "Single Image",
+  "sigma noise": "sigma noise",
+  "sigma tmin": "sigma tmin",
+  "Single Image": "단일 이미지",
   "Skip": "건너뛰기",
-  "Source directory": "Source directory",
-  "Source": "Source",
-  "Split oversized images into two": "Split oversized images into two",
-  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Slerp angle": "구면 선형 보간 각도",
+  "Slerp interpolation": "구면 선형 보간",
+  "Source": "원본",
+  "Source directory": "원본 경로",
+  "Split image threshold": "Split image threshold",
+  "Split image overlap ratio": "Split image overlap ratio",
+  "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
+  "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "Step:": "Step:",
   "Steps": "스텝 수",
   "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
   "Stop processing current image and continue processing.": "현재 진행중인 이미지 생성을 중단하고 작업을 계속하기",
@@ -325,51 +409,65 @@
   "Style 2": "스타일 2",
   "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
   "SwinIR 4x": "SwinIR 4x",
+  "Sys VRAM:": "시스템 VRAM : ",
   "System": "System",
-  "Tertiary model (C)": "Tertiary model (C)",
+  "Tertiary model (C)": "3차 모델 (C)",
   "Textbox": "Textbox",
   "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
   "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "This text is used to rotate the feature space of the imgs embs": "이 텍스트는 이미지 임베딩의 특징 공간을 회전하는 데 사용됩니다.",
+  "Tile overlap": "타일 겹침",
   "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
   "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
-  "Tile overlap": "타일 겹침",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
   "Tile size for all SwinIR.": "Tile size for all SwinIR.",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
   "Tiling": "타일링",
-  "Train Embedding": "Train Embedding",
-  "Train Hypernetwork": "Train Hypernetwork",
-  "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Train an embedding; must specify a directory with a set of 1:1 ratio images",
+  "Time taken:": "소요 시간 : ",
+  "Torch active/reserved:": "활성화/예약된 Torch 양 : ",
+  "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).": "활성화된 Torch : 생성 도중 캐시된 데이터를 포함해 사용된 VRAM의 최대량\n예약된 Torch : 활성화되고 캐시된 모든 데이터를 포함해 Torch에게 할당된 VRAM의 최대량\n시스템 VRAM : 모든 어플리케이션에 할당된 VRAM 최대량 / 총 GPU VRAM (최고 이용도%)",
   "Train": "훈련",
+  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "임베딩이나 하이퍼네트워크를 훈련시킵니다. 1:1 비율의 이미지가 있는 경로를 지정해야 합니다.",
+  "Train Embedding": "임베딩 훈련",
+  "Train Hypernetwork": "하이퍼네트워크 훈련",
   "Training": "Training",
-  "Unload VAE and CLIP from VRAM when training": "Unload VAE and CLIP from VRAM when training",
+  "txt2img": "텍스트→이미지",
+  "txt2img history": "txt2img history",
+  "uniform": "uniform",
+  "up": "위쪽",
   "Upload mask": "마스크 업로드하기",
   "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
   "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
-  "Upscaler 2 visibility": "Upscaler 2 visibility",
-  "Upscaler for img2img": "Upscaler for img2img",
   "Upscaler": "업스케일러",
+  "Upscaler 1": "업스케일러 1",
+  "Upscaler 2": "업스케일러 2",
+  "Upscaler 2 visibility": "업스케일러 2 가시성",
+  "Upscaler for img2img": "Upscaler for img2img",
   "Upscaling": "Upscaling",
-  "Use BLIP for caption": "Use BLIP for caption",
   "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
-  "Use deepbooru for caption": "Use deepbooru for caption",
+  "Use BLIP for caption": "캡션에 BLIP 사용",
+  "Use deepbooru for caption": "캡션에 deepbooru 사용",
+  "Use dropout": "드롭아웃 사용",
   "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
   "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
   "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
   "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
+  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
   "User interface": "User interface",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
   "Var. seed": "바리에이션 시드",
   "Var. strength": "바리에이션 강도",
   "Variation seed": "바리에이션 시드",
   "Variation strength": "바리에이션 강도",
-  "Weighted sum": "Weighted sum",
+  "view": "api 보이기",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+  "Weighted sum": "가중 합",
   "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
   "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
   "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
   "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
   "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
   "Width": "가로",
+  "wiki": " 위키",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
   "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
@@ -377,46 +475,5 @@
   "X values": "X 설정값",
   "X/Y plot": "X/Y 플롯",
   "Y type": "Y축",
-  "Y values": "Y 설정값",
-  "api": "",
-  "built with gradio": "gradio로 제작되었습니다",
-  "checkpoint": "checkpoint",
-  "directory.": "directory.",
-  "down": "아래쪽",
-  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
-  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
-  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
-  "extras history": "extras history",
-  "fill it with colors of the image": "이미지의 색상으로 채우기",
-  "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
-  "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
-  "fill": "채우기",
-  "for detailed explanation.": "for detailed explanation.",
-  "hide": "api 숨기기",
-  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
-  "img2img DDIM discretize": "img2img DDIM discretize",
-  "img2img alternative test": "이미지→이미지 대체버전 테스트",
-  "img2img history": "img2img history",
-  "img2img": "이미지→이미지",
-  "keep whatever was there originally": "이미지 원본 유지",
-  "latent noise": "잠재 노이즈",
-  "latent nothing": "잠재 공백",
-  "left": "왼쪽",
-  "number of images to delete consecutively next": "number of images to delete consecutively next",
-  "or": "or",
-  "original": "원본 유지",
-  "quad": "quad",
-  "right": "오른쪽",
-  "set_index": "set_index",
-  "should be 2 or lower.": "이 2 이하여야 합니다.",
-  "sigma churn": "sigma churn",
-  "sigma noise": "sigma noise",
-  "sigma tmin": "sigma tmin",
-  "txt2img history": "txt2img history",
-  "txt2img": "텍스트→이미지",
-  "uniform": "uniform",
-  "up": "위쪽",
-  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
-  "view": "api 보이기",
-  "wiki": "wiki"
-}
+  "Y values": "Y 설정값"
+}
\ No newline at end of file

From ae7c830c3ae7bb1ebe9b0d935cb33c254354b649 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 24 Oct 2022 04:29:19 +0900
Subject: [PATCH 105/321] Translation complete

---
 localizations/ko_KR.json | 302 +++++++++++++++++++++------------------
 1 file changed, 160 insertions(+), 142 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index a48ece87..6889de46 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -15,23 +15,24 @@
   "A merger of the two checkpoints will be generated in your": "체크포인트들이 병합된 결과물이 당신의",
   "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "난수 생성기의 결과물을 지정하는 값 - 동일한 설정값과 동일한 시드를 적용 시, 완전히 똑같은 결과물을 얻게 됩니다.",
   "Add a random artist to the prompt.": "프롬프트에 랜덤한 작가 추가",
-  "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+  "Add a second progress bar to the console that shows progress for an entire job.": "콘솔에 전체 작업의 진행도를 보여주는 2번째 프로그레스 바 추가하기",
   "Add difference": "차이점 추가",
-  "Add extended info (seed, prompt) to filename when saving grid": "Add extended info (seed, prompt) to filename when saving grid",
+  "Add extended info (seed, prompt) to filename when saving grid": "그리드 저장 시 파일명에 추가 정보(시드, 프롬프트) 기입",
   "Add layer normalization": "레이어 정규화(normalization) 추가",
-  "Add model hash to generation information": "Add model hash to generation information",
-  "Add model name to generation information": "Add model name to generation information",
+  "Add model hash to generation information": "생성 정보에 모델 해시 추가",
+  "Add model name to generation information": "생성 정보에 모델 이름 추가",
   "Aesthetic imgs embedding": "스타일 이미지 임베딩",
   "Aesthetic learning rate": "스타일 학습 수",
   "Aesthetic steps": "스타일 스텝 수",
   "Aesthetic text for imgs": "스타일 텍스트",
   "Aesthetic weight": "스타일 가중치",
-  "Always print all generation info to standard output": "Always print all generation info to standard output",
-  "Always save all generated image grids": "Always save all generated image grids",
+  "Allowed categories for random artists selection when using the Roll button": "랜덤 버튼을 눌러 무작위 작가를 선택할 때 허용된 카테고리",
+  "Always print all generation info to standard output": "기본 아웃풋에 모든 생성 정보 항상 출력하기",
+  "Always save all generated image grids": "생성된 이미지 그리드 항상 저장하기",
   "Always save all generated images": "생성된 이미지 항상 저장하기",
   "api": "",
   "append": "뒤에 삽입",
-  "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
+  "Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
   "Batch count": "배치 수",
@@ -43,29 +44,29 @@
   "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
   "CFG Scale": "CFG 스케일",
-  "Check progress": "Check progress",
-  "Check progress (first)": "Check progress (first)",
+  "Check progress": "진행도 체크",
+  "Check progress (first)": "진행도 체크 (처음)",
   "checkpoint": " 체크포인트 ",
   "Checkpoint Merger": "체크포인트 병합",
   "Checkpoint name": "체크포인트 이름",
-  "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+  "Checkpoints to cache in RAM": "RAM에 캐싱할 체크포인트 수",
   "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 이미지가 주어진 프롬프트를 얼마나 따를지를 정해주는 수치 - 낮은 값일수록 더 창의적인 결과물이 나옴",
-  "Click to Upload": "Click to Upload",
+  "Click to Upload": "클릭해서 업로드하기",
   "Clip skip": "클립 건너뛰기",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP : 텍스트 파일 최대 라인 수 (0 = 제한 없음)",
   "CodeFormer visibility": "CodeFormer 가시성",
   "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
-  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 가중치 설정값 (0 = 최대 효과, 1 = 최소 효과)",
   "Color variation": "색깔 다양성",
   "Collect": "즐겨찾기",
   "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
-  "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
-  "Create aesthetic images embedding": "Create aesthetic images embedding",
+  "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
+  "Create aesthetic images embedding": "스타일 이미지 임베딩 생성하기",
   "Create embedding": "임베딩 생성",
   "Create flipped copies": "좌우로 뒤집은 복사본 생성",
   "Create hypernetwork": "하이퍼네트워크 생성",
-  "Create images embedding": "Create images embedding",
+  "Create images embedding": "이미지 임베딩 생성하기",
   "Crop and resize": "잘라낸 후 리사이징",
   "Crop to fit": "잘라내서 맞추기",
   "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
@@ -80,15 +81,15 @@
   "Denoising strength change factor": "디노이즈 강도 변경 배수",
   "Destination directory": "결과물 저장 경로",
   "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "알고리즘이 얼마나 원본 이미지를 반영할지를 결정하는 수치입니다. 0일 경우 아무것도 바뀌지 않고, 1일 경우 원본 이미지와 전혀 관련없는 결과물을 얻게 됩니다. 1.0 아래의 값일 경우, 설정된 샘플링 스텝 수보다 적은 스텝 수를 거치게 됩니다.",
-  "Directory for saving images using the Save button": "Directory for saving images using the Save button",
-  "Directory name pattern": "Directory name pattern",
+  "Directory for saving images using the Save button": "저장 버튼을 이용해 저장하는 이미지들의 저장 경로",
+  "Directory name pattern": "디렉토리명 패턴",
   "directory.": "저장 경로에 저장됩니다.",
-  "Do not add watermark to images": "Do not add watermark to images",
+  "Do not add watermark to images": "이미지에 워터마크 추가하지 않기",
   "Do not do anything special": "아무것도 하지 않기",
-  "Do not save grids consisting of one picture": "Do not save grids consisting of one picture",
-  "Do not show any images in results for web": "Do not show any images in results for web",
+  "Do not save grids consisting of one picture": "이미지가 1개뿐인 그리드는 저장하지 않기",
+  "Do not show any images in results for web": "웹에서 결과창에 아무 이미지도 보여주지 않기",
   "down": "아래쪽",
-  "Download localization template": "Download localization template",
+  "Download localization template": "현지화 템플릿 다운로드",
   "Download": "다운로드",
   "DPM adaptive": "DPM adaptive",
   "DPM fast": "DPM fast",
@@ -98,65 +99,67 @@
   "DPM2 Karras": "DPM2 Karras",
   "Draw legend": "범례 그리기",
   "Draw mask": "마스크 직접 그리기",
-  "Drop File Here": "Drop File Here",
-  "Drop Image Here": "Drop Image Here",
+  "Drop File Here": "파일을 끌어 놓으세요",
+  "Drop Image Here": "이미지를 끌어 놓으세요",
   "Embedding": "임베딩",
   "Embedding Learning rate": "임베딩 학습률",
-  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
-  "Enable full page image viewer": "Enable full page image viewer",
-  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "강조 : (텍스트)를 이용해 모델의 텍스트에 대한 가중치를 더 강하게 주고 [텍스트]를 이용해 더 약하게 줍니다.",
+  "Enable full page image viewer": "전체 페이지 이미지 뷰어 활성화",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "더 예리하고 깔끔한 결과물을 위해 K 샘플러들에 양자화를 적용합니다. 존재하는 시드가 변경될 수 있습니다. 재시작이 필요합니다.",
   "End Page": "마지막 페이지",
   "Enter hypernetwork layer structure": "하이퍼네트워크 레이어 구조 입력",
   "Error": "오류",
-  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooru에서 괄호를 역슬래시(\\)로 이스케이프 처리하기(가중치 강조가 아니라 실제 괄호로 사용되게 하기 위해)",
   "ESRGAN_4x": "ESRGAN_4x",
   "Eta": "Eta",
-  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
-  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
-  "Eta noise seed delta": "Eta noise seed delta",
+  "eta (noise multiplier) for ancestral samplers": "ancestral 샘플러를 위한 eta(노이즈 배수)값",
+  "eta (noise multiplier) for DDIM": "DDIM을 위한 eta(노이즈 배수)값",
+  "Eta noise seed delta": "Eta 노이즈 시드 변화",
   "Euler": "Euler",
   "Euler a": "Euler a",
   "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
   "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
   "Extra": "고급",
   "Extras": "부가기능",
-  "extras history": "extras history",
-  "Face restoration": "Face restoration",
+  "extras history": "부가기능 기록",
+  "Face restoration": "얼굴 보정",
+  "Face restoration model": "얼굴 보정 모델",
   "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
   "favorites": "즐겨찾기",
-  "File": "File",
-  "File format for grids": "File format for grids",
-  "File format for images": "File format for images",
+  "File": "파일",
+  "File format for grids": "그리드 이미지 파일 형식",
+  "File format for images": "이미지 파일 형식",
   "File Name": "파일 이름",
   "File with inputs": "설정값 파일",
-  "Filename join string": "Filename join string",
-  "Filename word regex": "Filename word regex",
+  "Filename join string": "파일명 병합 문자열",
+  "Filename word regex": "파일명 정규표현식",
   "fill": "채우기",
   "fill it with colors of the image": "이미지의 색상으로 채우기",
   "fill it with latent space noise": "잠재 공간 노이즈로 채우기",
   "fill it with latent space zeroes": "잠재 공간의 0값으로 채우기",
-  "Filter NSFW content": "Filter NSFW content",
+  "Filter NSFW content": "성인 컨텐츠 필터링하기",
   "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
-  "Font for image grids that have text": "Font for image grids that have text",
+  "Font for image grids that have text": "텍스트가 존재하는 그리드 이미지의 폰트",
   "for detailed explanation.": "를 참조하십시오.",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
   "Generate": "생성",
   "Generate forever": "반복 생성",
   "Generate Info": "생성 정보",
   "GFPGAN visibility": "GFPGAN 가시성",
-  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "그리드 세로줄 수 : -1로 설정 시 자동 감지/0으로 설정 시 배치 크기와 동일",
   "Height": "세로",
   "Heun": "Heun",
   "hide": "api 숨기기",
-  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
+  "Hide samplers in user interface (requires restart)": "사용자 인터페이스에서 숨길 샘플러 선택(재시작 필요)",
   "Highres. fix": "고해상도 보정",
   "History": "기록",
   "Image Browser": "이미지 브라우저",
+  "Images Browser": "이미지 브라우저",
   "Images directory": "이미지 경로",
   "extras": "부가기능",
-  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
+  "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "훈련이 얼마나 빨리 이루어질지 정하는 값입니다. 값이 낮을수록 훈련 시간이 길어지고, 높은 값일수록 정확한 결과를 내는 데 실패하고 임베딩을 망가뜨릴 수 있습니다(임베딩이 망가진 경우에는 훈련 정보 텍스트박스에 손실(Loss) : nan 이라고 출력되게 됩니다. 이 경우에는 망가지지 않은 이전 백업본을 불러와야 합니다).\n\n학습률은 하나의 값으로 설정할 수도 있고, 다음 문법을 사용해 여러 값을 사용할 수도 있습니다 :\n\n학습률_1:최대 스텝수_1, 학습률_2:최대 스텝수_2, ...\n\n예 : 0.005:100, 1e-3:1000, 1e-5\n\n예의 설정값은 첫 100스텝동안 0.005의 학습률로, 그 이후 1000스텝까지는 1e-3으로, 남은 스텝은 1e-5로 훈련하게 됩니다.",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
   "How many times to improve the generated image iteratively; higher values take longer; very low values can produce bad results": "생성된 이미지를 향상할 횟수; 매우 낮은 값은 만족스럽지 못한 결과물을 출력할 수 있음",
@@ -166,111 +169,114 @@
   "Hypernet str.": "하이퍼네트워크 강도",
   "Hypernetwork": "하이퍼네트워크",
   "Hypernetwork Learning rate": "하이퍼네트워크 학습률",
-  "Hypernetwork strength": "Hypernetwork strength",
-  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
-  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
-  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "Hypernetwork strength": "하이퍼네트워크 강도",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG 이미지가 4MB보다 크거나 가로 또는 세로길이가 4000보다 클 경우, 다운스케일 후 JPG로 복사본 저장하기",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "이 옵션이 활성화되면 생성된 이미지에 워터마크가 추가되지 않습니다. 경고 : 워터마크를 추가하지 않는다면, 비윤리적인 행동을 하는 중일지도 모릅니다.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "이 값이 0이 아니라면, 시드에 해당 값이 더해지고, Eta가 있는 샘플러를 사용할 때 노이즈의 RNG 조정을 위해 해당 값이 사용됩니다. 이 설정으로 더 다양한 이미지를 생성하거나, 잘 알고 계시다면 특정 소프트웨어의 결과값을 재현할 수도 있습니다.",
   "ignore": "무시",
-  "Image": "Image",
+  "Image": "이미지",
   "Image for img2img": "Image for img2img",
-  "Image for inpainting with mask": "Image for inpainting with mask",
-  "Images filename pattern": "Images filename pattern",
+  "Image for inpainting with mask": "마스크로 인페인팅할 이미지",
+  "Images filename pattern": "이미지 파일명 패턴",
   "img2img": "이미지→이미지",
   "img2img alternative test": "이미지→이미지 대체버전 테스트",
-  "img2img DDIM discretize": "img2img DDIM discretize",
-  "img2img history": "img2img history",
+  "img2img DDIM discretize": "이미지→이미지 DDIM 이산화",
+  "img2img history": "이미지→이미지 기록",
   "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "루프백 모드에서는 매 루프마다 디노이즈 강도에 이 값이 곱해집니다. 1보다 작을 경우 다양성이 낮아져 결과 이미지들이 고정된 형태로 모일 겁니다. 1보다 클 경우 다양성이 높아져 결과 이미지들이 갈수록 혼란스러워지겠죠.",
   "Include Separate Images": "분리된 이미지 포함하기",
-  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "75개보다 많은 토큰을 사용시 마지막 쉼표로부터 N개의 토큰 이내에 패딩을 추가해 통일성 증가시키기",
   "Initialization text": "초기화 텍스트",
   "Inpaint": "인페인트",
   "Inpaint at full resolution": "전체 해상도로 인페인트하기",
-  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트 패딩값(픽셀 단위)",
+  "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트시 패딩값(픽셀 단위)",
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
   "Input directory": "인풋 이미지 경로",
   "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
-  "Interrogate Options": "Interrogate Options",
-  "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
-  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
-  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
-  "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
-  "Interrogate: maximum description length": "Interrogate: maximum description length",
-  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
-  "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
-  "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+  "Interrogate Options": "분석 설정",
+  "Interrogate: deepbooru score threshold": "분석 : deepbooru 점수 임계값",
+  "Interrogate: deepbooru sort alphabetically": "분석 : deepbooru 알파벳 순서로 정렬하기",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "분석 : 결과물에 모델 태그의 랭크 포함하기 (캡션 바탕의 분석기에는 효과 없음)",
+  "Interrogate: keep models in VRAM": "분석 : VRAM에 모델 유지하기",
+  "Interrogate: maximum description length": "분석 : 설명 최대 길이",
+  "Interrogate: minimum description length (excluding artists, etc..)": "분석 : 설명 최소 길이(작가 등등..제외)",
+  "Interrogate: num_beams for BLIP": "분석 : BLIP의 num_beams값",
+  "Interrogate: use artists from artists.csv": "분석 : artists.csv의 작가들 사용하기",
   "Interrupt": "중단",
   "Is negative text": "네거티브 텍스트일시 체크",
   "Just resize": "리사이징",
   "Keep -1 for seeds": "시드값 -1로 유지",
   "keep whatever was there originally": "이미지 원본 유지",
-  "Label": "Label",
+  "Label": "라벨",
   "Lanczos": "Lanczos",
-  "Last prompt:": "Last prompt:",
-  "Last saved hypernetwork:": "Last saved hypernetwork:",
-  "Last saved image:": "Last saved image:",
+  "Last prompt:": "마지막 프롬프트 : ",
+  "Last saved hypernetwork:": "마지막으로 저장된 하이퍼네트워크 : ",
+  "Last saved image:": "마지막으로 저장된 이미지 : ",
   "latent noise": "잠재 노이즈",
   "latent nothing": "잠재 공백",
   "LDSR": "LDSR",
-  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "LDSR processing steps. Lower = faster": "LDSR 스텝 수. 낮은 값 = 빠른 속도",
   "leakyrelu": "leakyrelu",
   "Leave blank to save images to the default path.": "기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
   "left": "왼쪽",
   "linear": "linear",
-  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "설정 탭이 아니라 상단의 빠른 설정 바에 위치시킬 설정 이름을 쉼표로 분리해서 입력하십시오. 설정 이름은 modules/shared.py에서 찾을 수 있습니다. 재시작이 필요합니다.",
   "LMS": "LMS",
   "LMS Karras": "LMS Karras",
   "Load": "불러오기",
   "Loading...": "로딩 중...",
-  "Localization (requires restart)": "Localization (requires restart)",
+  "Localization (requires restart)": "현지화 (재시작 필요)",
   "Log directory": "로그 경로",
   "Loopback": "루프백",
   "Loops": "루프 수",
-  "Loss:": "Loss:",
+  "Loss:": "손실(Loss) : ",
   "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
-  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-diffusion 샘플러들이 단일 이미지를 생성하는 것처럼 배치에서도 동일한 이미지를 생성하게 하기",
   "Make Zip when Save?": "저장 시 Zip 생성하기",
   "Mask": "마스크",
   "Mask blur": "마스크 블러",
-  "Mask mode": "Mask mode",
+  "Mask mode": "마스크 모드",
   "Masked content": "마스크된 부분",
-  "Masking mode": "Masking mode",
-  "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+  "Masking mode": "마스킹 모드",
+  "Max prompt words for [prompt_words] pattern": "[prompt_words] 패턴의 최대 프롬프트 단어 수",
   "Max steps": "최대 스텝 수",
   "Modules": "모듈",
-  "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
-  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
+  "Move face restoration model from VRAM into RAM after processing": "처리가 완료되면 얼굴 보정 모델을 VRAM에서 RAM으로 옮기기",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "하이퍼네트워크 훈련 진행 시 VAE와 CLIP을 RAM으로 옮기기. VRAM이 절약됩니다.",
   "Multiplier (M) - set to 0 to get model A": "배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
   "Name": "이름",
   "Negative prompt": "네거티브 프롬프트",
   "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
   "Next batch": "다음 묶음",
   "Next Page": "다음 페이지",
-  "None": "None",
+  "None": "없음",
   "Nothing": "없음",
   "Nothing found in the image.": "Nothing found in the image.",
   "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
-  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
+  "Number of pictures displayed on each page": "각 페이지에 표시될 이미지 수",
+  "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
+  "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
   "Number of vectors per token": "토큰별 벡터 수",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
   "Open output directory": "저장 경로 열기",
-  "or": "or",
+  "or": "또는",
   "original": "원본 유지",
   "Original negative prompt": "기존 네거티브 프롬프트",
   "Original prompt": "기존 프롬프트",
   "Outpainting direction": "아웃페인팅 방향",
   "Outpainting mk2": "아웃페인팅 마크 2",
   "Output directory": "이미지 저장 경로",
-  "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
-  "Output directory for images from extras tab": "Output directory for images from extras tab",
-  "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
-  "Output directory for img2img grids": "Output directory for img2img grids",
-  "Output directory for img2img images": "Output directory for img2img images",
-  "Output directory for txt2img grids": "Output directory for txt2img grids",
-  "Output directory for txt2img images": "Output directory for txt2img images",
+  "Output directory for grids; if empty, defaults to two directories below": "그리드 이미지 저장 경로 - 비워둘 시 하단의 2가지 기본 경로로 설정됨",
+  "Output directory for images from extras tab": "부가기능 탭 저장 경로",
+  "Output directory for images; if empty, defaults to three directories below": "이미지 저장 경로 - 비워둘 시 하단의 3가지 기본 경로로 설정됨",
+  "Output directory for img2img grids": "이미지→이미지 그리드 저장 경로",
+  "Output directory for img2img images": "이미지→이미지 저장 경로",
+  "Output directory for txt2img grids": "텍스트→이미지 그리드 저장 경로",
+  "Output directory for txt2img images": "텍스트→이미지 저장 경로",
   "Override `Denoising strength` to 1?": "디노이즈 강도를 1로 적용할까요?",
   "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "프롬프트 값을 기존 프롬프트와 동일하게 적용할까요?(네거티브 프롬프트 포함)",
   "Override `Sampling method` to Euler?(this method is built for it)": "샘플링 방법을 Euler로 적용할까요?(이 기능은 해당 샘플러를 위해 만들어져 있습니다)",
@@ -279,20 +285,21 @@
   "Overwrite Old Hypernetwork": "기존 하이퍼네트워크 덮어쓰기",
   "Page Index": "페이지 인덱스",
   "parameters": "설정값",
-  "Path to directory where to write outputs": "Path to directory where to write outputs",
+  "Path to directory where to write outputs": "결과물을 출력할 경로",
   "Path to directory with input images": "인풋 이미지가 있는 경로",
-  "Paths for saving": "Paths for saving",
+  "Paths for saving": "저장 경로",
   "Pixels to expand": "확장할 픽셀 수",
   "PLMS": "PLMS",
   "PNG Info": "PNG 정보",
   "Poor man's outpainting": "가난뱅이의 아웃페인팅",
-  "Preparing dataset from": "Preparing dataset from",
+  "Preload images at startup": "WebUI 가동 시 이미지 프리로드하기",
+  "Preparing dataset from": "준비된 데이터셋 경로 : ",
   "prepend": "앞에 삽입",
   "Preprocess": "전처리",
   "Preprocess images": "이미지 전처리",
   "Prev batch": "이전 묶음",
   "Prev Page": "이전 페이지",
-  "Prevent empty spots in grid (when set to autodetect)": "Prevent empty spots in grid (when set to autodetect)",
+  "Prevent empty spots in grid (when set to autodetect)": "(자동 감지 사용시)그리드에 빈칸이 생기는 것 방지하기",
   "Primary model (A)": "주 모델 (A)",
   "Process an image, use it as an input, repeat.": "이미지를 생성하고, 생성한 이미지를 다시 원본으로 사용하는 과정을 반복합니다.",
   "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
@@ -307,26 +314,26 @@
   "Prompts from file or textbox": "파일이나 텍스트박스로부터 프롬프트 불러오기",
   "Put variable parts at start of prompt": "변경되는 프롬프트를 앞에 위치시키기",
   "quad": "quad",
-  "Quality for saved jpeg images": "Quality for saved jpeg images",
-  "Quicksettings list": "Quicksettings list",
+  "Quality for saved jpeg images": "저장된 jpeg 이미지들의 품질",
+  "Quicksettings list": "빠른 설정 리스트",
   "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
   "Randomness": "랜덤성",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
   "Read parameters (prompt, etc...) from txt2img tab when making previews": "프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
   "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "추천 설정값 - 샘플링 스텝 수 : 80-100 , 샘플러 : Euler a, 디노이즈 강도 : 0.8",
-  "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "Reload custom script bodies (No ui updates, No restart)": "커스텀 스크립트 리로드하기(UI 업데이트 없음, 재시작 없음)",
   "relu": "relu",
   "Renew Page": "Renew Page",
-  "Request browser notifications": "Request browser notifications",
+  "Request browser notifications": "브라우저 알림 권한 요청",
   "Resize": "리사이징 배수",
   "Resize and fill": "리사이징 후 채우기",
   "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "설정된 해상도로 이미지 리사이징을 진행합니다. 원본과 가로/세로 길이가 일치하지 않을 경우, 부정확한 화면비의 이미지를 얻게 됩니다.",
-  "Resize mode": "Resize mode",
+  "Resize mode": "리사이징 모드",
   "Resize seed from height": "시드 리사이징 가로길이",
   "Resize seed from width": "시드 리사이징 세로길이",
   "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "이미지 전체가 설정된 해상도 내부에 들어가게 리사이징을 진행합니다. 빈 공간은 이미지의 색상으로 채웁니다.",
   "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "설정된 해상도 전체가 이미지로 가득차게 리사이징을 진행합니다. 튀어나오는 부분은 잘라냅니다.",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio를 재시작하고 컴포넌트 새로고침하기 (커스텀 스크립트, ui.py, js, css만 해당됨)",
   "Restore faces": "얼굴 보정",
   "Restore low quality faces using GFPGAN neural network": "GFPGAN 신경망을 이용해 저품질의 얼굴을 보정합니다.",
   "Result = A * (1 - M) + B * M": "결과물 = A * (1 - M) + B * M",
@@ -335,23 +342,23 @@
   "right": "오른쪽",
   "Run": "가동",
   "Sampler": "샘플러",
-  "Sampler parameters": "Sampler parameters",
+  "Sampler parameters": "샘플러 설정값",
   "Sampling method": "샘플링 방법",
   "Sampling Steps": "샘플링 스텝 수",
   "Save": "저장",
   "Save a copy of embedding to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 임베딩을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
-  "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
-  "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
-  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+  "Save a copy of image before applying color correction to img2img results": "이미지→이미지 결과물에 색상 보정을 진행하기 전 이미지의 복사본을 저장하기",
+  "Save a copy of image before doing face restoration.": "얼굴 보정을 진행하기 전 이미지의 복사본을 저장하기",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 손실(Loss)을 포함하는 csv 파일을 저장합니다, 비활성화하려면 0으로 설정하십시오.",
   "Save an image to log directory every N steps, 0 to disable": "N스텝마다 로그 경로에 이미지를 저장합니다, 비활성화하려면 0으로 설정하십시오.",
   "Save as float16": "float16으로 저장",
-  "Save grids to a subdirectory": "Save grids to a subdirectory",
-  "Save images to a subdirectory": "Save images to a subdirectory",
+  "Save grids to a subdirectory": "그리드 이미지를 하위 디렉토리에 저장하기",
+  "Save images to a subdirectory": "이미지를 하위 디렉토리에 저장하기",
   "Save images with embedding in PNG chunks": "PNG 청크로 이미지에 임베딩을 포함시켜 저장",
   "Save style": "스타일 저장",
-  "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
-  "Saving images/grids": "Saving images/grids",
-  "Saving to a directory": "Saving to a directory",
+  "Save text information about generation parameters as chunks to png files": "이미지 생성 설정값을 PNG 청크에 텍스트로 저장",
+  "Saving images/grids": "이미지/그리드 저장",
+  "Saving to a directory": "디렉토리에 저장",
   "Scale by": "스케일링 배수 지정",
   "Scale to": "스케일링 사이즈 지정",
   "Script": "스크립트",
@@ -363,6 +370,7 @@
   "Seed": "시드",
   "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
   "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
+  "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "WebUI에 표시할 Real-ESRGAN 모델을 선택하십시오. (재시작 필요)",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
@@ -374,29 +382,30 @@
   "set_index": "set_index",
   "Settings": "설정",
   "should be 2 or lower.": "이 2 이하여야 합니다.",
-  "Show generation progress in window title.": "Show generation progress in window title.",
-  "Show grid in results for web": "Show grid in results for web",
-  "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
-  "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
-  "Show progressbar": "Show progressbar",
+  "Show generation progress in window title.": "창 타이틀에 생성 진행도 보여주기",
+  "Show grid in results for web": "웹에서 결과창에 그리드 보여주기",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "N번째 샘플링 스텝마다 이미지 생성 과정 보이기 - 비활성화하려면 0으로 설정",
+  "Show images zoomed in by default in full page image viewer": "전체 페이지 이미지 뷰어에서 기본값으로 이미지 확대해서 보여주기",
+  "Show progressbar": "프로그레스 바 보이기",
   "Show result images": "이미지 결과 보이기",
   "Show Textbox": "텍스트박스 보이기",
+  "Show previews of all images generated in a batch as a grid": "배치에서 생성된 모든 이미지의 미리보기를 그리드 형식으로 보여주기",
   "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
   "Sigma Churn": "시그마 섞기",
-  "sigma churn": "sigma churn",
+  "sigma churn": "시그마 섞기",
   "Sigma max": "시그마 최댓값",
   "Sigma min": "시그마 최솟값",
   "Sigma noise": "시그마 노이즈",
-  "sigma noise": "sigma noise",
-  "sigma tmin": "sigma tmin",
+  "sigma noise": "시그마 노이즈",
+  "sigma tmin": "시그마 tmin",
   "Single Image": "단일 이미지",
   "Skip": "건너뛰기",
   "Slerp angle": "구면 선형 보간 각도",
   "Slerp interpolation": "구면 선형 보간",
   "Source": "원본",
   "Source directory": "원본 경로",
-  "Split image threshold": "Split image threshold",
-  "Split image overlap ratio": "Split image overlap ratio",
+  "Split image threshold": "이미지 분할 임계값",
+  "Split image overlap ratio": "이미지 분할 겹침 비율",
   "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
   "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
@@ -407,20 +416,20 @@
   "Stop processing images and return any results accumulated so far.": "이미지 생성을 중단하고 지금까지 진행된 결과물 출력",
   "Style 1": "스타일 1",
   "Style 2": "스타일 2",
-  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "적용할 스타일 - 스타일은 긍정/부정 프롬프트 모두에 대한 설정값을 가지고 있고 양쪽 모두에 적용 가능합니다.",
   "SwinIR 4x": "SwinIR 4x",
   "Sys VRAM:": "시스템 VRAM : ",
-  "System": "System",
+  "System": "시스템",
   "Tertiary model (C)": "3차 모델 (C)",
-  "Textbox": "Textbox",
-  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
-  "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "Textbox": "텍스트박스",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "이 정규표현식은 파일명으로부터 단어를 추출하는 데 사용됩니다. 추출된 단어들은 하단의 설정을 이용해 라벨 텍스트로 변환되어 훈련에 사용됩니다. 파일명 텍스트를 유지하려면 비워두십시오.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "이 문자열은 상단 설정이 활성화되어있을 때 분리된 단어들을 한 줄로 합치는 데 사용됩니다.",
   "This text is used to rotate the feature space of the imgs embs": "이 텍스트는 이미지 임베딩의 특징 공간을 회전하는 데 사용됩니다.",
   "Tile overlap": "타일 겹침",
-  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
-  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
-  "Tile size for all SwinIR.": "Tile size for all SwinIR.",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 업스케일러들의 타일 중첩 수치, 픽셀 단위. 낮은 값 = 눈에 띄는 이음매.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR의 타일 중첩 수치, 픽셀 단위. 낮은 값 = 눈에 띄는 이음매.",
+  "Tile size for all SwinIR.": "SwinIR의 타일 사이즈.",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 업스케일러들의 타일 사이즈. 0 = 타일링 없음.",
   "Tiling": "타일링",
   "Time taken:": "소요 시간 : ",
   "Torch active/reserved:": "활성화/예약된 Torch 양 : ",
@@ -429,51 +438,60 @@
   "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "임베딩이나 하이퍼네트워크를 훈련시킵니다. 1:1 비율의 이미지가 있는 경로를 지정해야 합니다.",
   "Train Embedding": "임베딩 훈련",
   "Train Hypernetwork": "하이퍼네트워크 훈련",
-  "Training": "Training",
+  "Training": "훈련",
   "txt2img": "텍스트→이미지",
-  "txt2img history": "txt2img history",
+  "txt2img history": "텍스트→이미지 기록",
   "uniform": "uniform",
   "up": "위쪽",
   "Upload mask": "마스크 업로드하기",
-  "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
+  "Upscale latent space image when doing hires. fix": "고해상도 보정 사용시 잠재 공간 이미지 업스케일하기",
   "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
   "Upscaler": "업스케일러",
   "Upscaler 1": "업스케일러 1",
   "Upscaler 2": "업스케일러 2",
   "Upscaler 2 visibility": "업스케일러 2 가시성",
-  "Upscaler for img2img": "Upscaler for img2img",
-  "Upscaling": "Upscaling",
+  "Upscaler for img2img": "이미지→이미지 업스케일러",
+  "Upscaling": "업스케일링",
   "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
   "Use BLIP for caption": "캡션에 BLIP 사용",
   "Use deepbooru for caption": "캡션에 deepbooru 사용",
   "Use dropout": "드롭아웃 사용",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
-  "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
-  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
-  "User interface": "User interface",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "옛 방식의 강조 구현을 사용합니다. 옛 시드를 재현하는 데 효과적일 수 있습니다.",
+  "Use original name for output filename during batch process in extras tab": "부가기능 탭에서 이미지를 여러장 처리 시 결과물 파일명에 기존 파일명 사용하기",
+  "use spaces for tags in deepbooru": "deepbooru에서 태그에 공백 사용",
+  "User interface": "사용자 인터페이스",
   "Var. seed": "바리에이션 시드",
   "Var. strength": "바리에이션 강도",
   "Variation seed": "바리에이션 시드",
   "Variation strength": "바리에이션 강도",
   "view": "api 보이기",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "생성 도중 초당 VRAM 사용량 폴링 수. 비활성화하려면 0으로 설정하십시오.",
   "Weighted sum": "가중 합",
   "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusion으로 이미지를 생성하기 전 마스크된 부분에 무엇을 채울지 결정하는 설정값",
-  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
-  "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
-  "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "PNG 정보나 붙여넣은 텍스트로부터 생성 설정값을 읽어올 때, 선택된 모델/체크포인트는 변경하지 않기.",
+  "When using \"Save\" button, save images to a subdirectory": "저장 버튼 사용시, 이미지를 하위 디렉토리에 저장하기",
+  "When using 'Save' button, only save a single selected image": "저장 버튼 사용시, 선택된 이미지 1개만 저장하기",
   "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
   "Width": "가로",
   "wiki": " 위키",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
-  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "이미지→이미지 진행 시, 슬라이더로 설정한 스텝 수를 정확히 실행하기 (일반적으로 디노이즈 강도가 낮을수록 실제 설정된 스텝 수보다 적게 진행됨)",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
   "X type": "X축",
   "X values": "X 설정값",
   "X/Y plot": "X/Y 플롯",
   "Y type": "Y축",
-  "Y values": "Y 설정값"
+  "Y values": "Y 설정값",
+  "step1 min/max": "스텝1 최소/최대",
+  "step2 min/max": "스텝2 최소/최대",
+  "step count": "스텝 변화 횟수",
+  "cfg1 min/max": "CFG1 최소/최대",
+  "cfg2 min/max": "CFG2 최소/최대",
+  "cfg count": "CFG 변화 횟수",
+  "x/y change": "X/Y축 변경",
+  "Random": "랜덤",
+  "Random grid": "랜덤 그리드"
 }
\ No newline at end of file

From dd25722d6c3f9d9a5f7d76307822bf7558386a0f Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 24 Oct 2022 04:38:16 +0900
Subject: [PATCH 106/321] Finalize ko_KR.json

---
 localizations/ko_KR.json | 44 ++++++++++++++++++++--------------------
 1 file changed, 22 insertions(+), 22 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 6889de46..ab12c37e 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -5,10 +5,10 @@
   "❮": "❮",
   "❯": "❯",
   "⤡": "⤡",
-  " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
   " images during ": "개의 이미지를 불러왔고, 생성 기간은 ",
-  ", divided into ": "입니다. ",
+  " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
   " pages": "페이지로 나뉘어 표시합니다.",
+  ", divided into ": "입니다. ",
   "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
   "[wiki]": " [위키] 참조",
   "A directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리를 선택해 주세요.",
@@ -43,7 +43,10 @@
   "BSRGAN 4x": "BSRGAN 4x",
   "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
+  "cfg count": "CFG 변화 횟수",
   "CFG Scale": "CFG 스케일",
+  "cfg1 min/max": "CFG1 최소/최대",
+  "cfg2 min/max": "CFG2 최소/최대",
   "Check progress": "진행도 체크",
   "Check progress (first)": "진행도 체크 (처음)",
   "checkpoint": " 체크포인트 ",
@@ -57,8 +60,8 @@
   "CodeFormer visibility": "CodeFormer 가시성",
   "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 가중치 (0 = 최대 효과, 1 = 최소 효과)",
   "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 가중치 설정값 (0 = 최대 효과, 1 = 최소 효과)",
-  "Color variation": "색깔 다양성",
   "Collect": "즐겨찾기",
+  "Color variation": "색깔 다양성",
   "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
@@ -89,8 +92,8 @@
   "Do not save grids consisting of one picture": "이미지가 1개뿐인 그리드는 저장하지 않기",
   "Do not show any images in results for web": "웹에서 결과창에 아무 이미지도 보여주지 않기",
   "down": "아래쪽",
-  "Download localization template": "현지화 템플릿 다운로드",
   "Download": "다운로드",
+  "Download localization template": "현지화 템플릿 다운로드",
   "DPM adaptive": "DPM adaptive",
   "DPM fast": "DPM fast",
   "DPM2": "DPM2",
@@ -121,6 +124,7 @@
   "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
   "Extra": "고급",
   "Extras": "부가기능",
+  "extras": "부가기능",
   "extras history": "부가기능 기록",
   "Face restoration": "얼굴 보정",
   "Face restoration model": "얼굴 보정 모델",
@@ -155,10 +159,6 @@
   "Hide samplers in user interface (requires restart)": "사용자 인터페이스에서 숨길 샘플러 선택(재시작 필요)",
   "Highres. fix": "고해상도 보정",
   "History": "기록",
-  "Image Browser": "이미지 브라우저",
-  "Images Browser": "이미지 브라우저",
-  "Images directory": "이미지 경로",
-  "extras": "부가기능",
   "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "훈련이 얼마나 빨리 이루어질지 정하는 값입니다. 값이 낮을수록 훈련 시간이 길어지고, 높은 값일수록 정확한 결과를 내는 데 실패하고 임베딩을 망가뜨릴 수 있습니다(임베딩이 망가진 경우에는 훈련 정보 텍스트박스에 손실(Loss) : nan 이라고 출력되게 됩니다. 이 경우에는 망가지지 않은 이전 백업본을 불러와야 합니다).\n\n학습률은 하나의 값으로 설정할 수도 있고, 다음 문법을 사용해 여러 값을 사용할 수도 있습니다 :\n\n학습률_1:최대 스텝수_1, 학습률_2:최대 스텝수_2, ...\n\n예 : 0.005:100, 1e-3:1000, 1e-5\n\n예의 설정값은 첫 100스텝동안 0.005의 학습률로, 그 이후 1000스텝까지는 1e-3으로, 남은 스텝은 1e-5로 훈련하게 됩니다.",
   "How many batches of images to create": "생성할 이미지 배치 수",
   "How many image to create in a single batch": "한 배치당 이미지 수",
@@ -175,8 +175,11 @@
   "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "이 값이 0이 아니라면, 시드에 해당 값이 더해지고, Eta가 있는 샘플러를 사용할 때 노이즈의 RNG 조정을 위해 해당 값이 사용됩니다. 이 설정으로 더 다양한 이미지를 생성하거나, 잘 알고 계시다면 특정 소프트웨어의 결과값을 재현할 수도 있습니다.",
   "ignore": "무시",
   "Image": "이미지",
+  "Image Browser": "이미지 브라우저",
   "Image for img2img": "Image for img2img",
   "Image for inpainting with mask": "마스크로 인페인팅할 이미지",
+  "Images Browser": "이미지 브라우저",
+  "Images directory": "이미지 경로",
   "Images filename pattern": "이미지 파일명 패턴",
   "img2img": "이미지→이미지",
   "img2img alternative test": "이미지→이미지 대체버전 테스트",
@@ -242,6 +245,7 @@
   "Masking mode": "마스킹 모드",
   "Max prompt words for [prompt_words] pattern": "[prompt_words] 패턴의 최대 프롬프트 단어 수",
   "Max steps": "최대 스텝 수",
+  "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
   "Modules": "모듈",
   "Move face restoration model from VRAM into RAM after processing": "처리가 완료되면 얼굴 보정 모델을 VRAM에서 RAM으로 옮기기",
   "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "하이퍼네트워크 훈련 진행 시 VAE와 CLIP을 RAM으로 옮기기. VRAM이 절약됩니다.",
@@ -254,10 +258,9 @@
   "None": "없음",
   "Nothing": "없음",
   "Nothing found in the image.": "Nothing found in the image.",
+  "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
   "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
   "Number of pictures displayed on each page": "각 페이지에 표시될 이미지 수",
-  "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
-  "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
   "Number of vectors per token": "토큰별 벡터 수",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
@@ -317,6 +320,8 @@
   "Quality for saved jpeg images": "저장된 jpeg 이미지들의 품질",
   "Quicksettings list": "빠른 설정 리스트",
   "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+  "Random": "랜덤",
+  "Random grid": "랜덤 그리드",
   "Randomness": "랜덤성",
   "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "클립보드에 복사된 정보로부터 설정값 읽어오기/프롬프트창이 비어있을경우 제일 최근 설정값 불러오기",
   "Read parameters (prompt, etc...) from txt2img tab when making previews": "프리뷰 이미지 생성 시 텍스트→이미지 탭에서 설정값(프롬프트 등) 읽어오기",
@@ -386,10 +391,10 @@
   "Show grid in results for web": "웹에서 결과창에 그리드 보여주기",
   "Show image creation progress every N sampling steps. Set 0 to disable.": "N번째 샘플링 스텝마다 이미지 생성 과정 보이기 - 비활성화하려면 0으로 설정",
   "Show images zoomed in by default in full page image viewer": "전체 페이지 이미지 뷰어에서 기본값으로 이미지 확대해서 보여주기",
+  "Show previews of all images generated in a batch as a grid": "배치에서 생성된 모든 이미지의 미리보기를 그리드 형식으로 보여주기",
   "Show progressbar": "프로그레스 바 보이기",
   "Show result images": "이미지 결과 보이기",
   "Show Textbox": "텍스트박스 보이기",
-  "Show previews of all images generated in a batch as a grid": "배치에서 생성된 모든 이미지의 미리보기를 그리드 형식으로 보여주기",
   "Sigma adjustment for finding noise for image": "이미지 노이즈를 찾기 위해 시그마 조정",
   "Sigma Churn": "시그마 섞기",
   "sigma churn": "시그마 섞기",
@@ -404,11 +409,14 @@
   "Slerp interpolation": "구면 선형 보간",
   "Source": "원본",
   "Source directory": "원본 경로",
-  "Split image threshold": "이미지 분할 임계값",
   "Split image overlap ratio": "이미지 분할 겹침 비율",
+  "Split image threshold": "이미지 분할 임계값",
   "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
   "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "step count": "스텝 변화 횟수",
+  "step1 min/max": "스텝1 최소/최대",
+  "step2 min/max": "스텝2 최소/최대",
   "Step:": "Step:",
   "Steps": "스텝 수",
   "Stop At last layers of CLIP model": "CLIP 모델의 n번째 레이어에서 멈추기",
@@ -482,16 +490,8 @@
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",
   "X type": "X축",
   "X values": "X 설정값",
+  "x/y change": "X/Y축 변경",
   "X/Y plot": "X/Y 플롯",
   "Y type": "Y축",
-  "Y values": "Y 설정값",
-  "step1 min/max": "스텝1 최소/최대",
-  "step2 min/max": "스텝2 최소/최대",
-  "step count": "스텝 변화 횟수",
-  "cfg1 min/max": "CFG1 최소/최대",
-  "cfg2 min/max": "CFG2 최소/최대",
-  "cfg count": "CFG 변화 횟수",
-  "x/y change": "X/Y축 변경",
-  "Random": "랜덤",
-  "Random grid": "랜덤 그리드"
+  "Y values": "Y 설정값"
 }
\ No newline at end of file

From 974196932583b96b6b76632052fc0d7e70820bf3 Mon Sep 17 00:00:00 2001
From: Vladimir Repin <32306715+mezotaken@users.noreply.github.com>
Date: Sun, 23 Oct 2022 22:38:42 +0300
Subject: [PATCH 107/321] Save properly processed image before color correction

---
 modules/processing.py | 33 ++++++++++++++++++---------------
 1 file changed, 18 insertions(+), 15 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index ff83023c..15b639e1 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -46,6 +46,20 @@ def apply_color_correction(correction, image):
 
     return image
 
+def apply_overlay(overlay_exists, overlay, paste_loc, image):
+    if overlay_exists:
+        if paste_loc is not None:
+            x, y, w, h = paste_loc
+            base_image = Image.new('RGBA', (overlay.width, overlay.height))
+            image = images.resize_image(1, image, w, h)
+            base_image.paste(image, (x, y))
+            image = base_image
+
+        image = image.convert('RGBA')
+        image.alpha_composite(overlay)
+        image = image.convert('RGB')
+
+    return image
 
 def get_correct_sampler(p):
     if isinstance(p, modules.processing.StableDiffusionProcessingTxt2Img):
@@ -446,25 +460,14 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
                     devices.torch_gc()
 
                 image = Image.fromarray(x_sample)
-
+                
                 if p.color_corrections is not None and i < len(p.color_corrections):
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
-                        images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
+                        image_without_cc = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)
+                        images.save_image(image_without_cc, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
                     image = apply_color_correction(p.color_corrections[i], image)
 
-                if p.overlay_images is not None and i < len(p.overlay_images):
-                    overlay = p.overlay_images[i]
-
-                    if p.paste_to is not None:
-                        x, y, w, h = p.paste_to
-                        base_image = Image.new('RGBA', (overlay.width, overlay.height))
-                        image = images.resize_image(1, image, w, h)
-                        base_image.paste(image, (x, y))
-                        image = base_image
-
-                    image = image.convert('RGBA')
-                    image.alpha_composite(overlay)
-                    image = image.convert('RGB')
+                image = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)
 
                 if opts.samples_save and not p.do_not_save_samples:
                     images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)

From f2cc3f32d5bc8538e95edec54d7dc1b9efdf769a Mon Sep 17 00:00:00 2001
From: Vladimir Repin <32306715+mezotaken@users.noreply.github.com>
Date: Sun, 23 Oct 2022 22:44:46 +0300
Subject: [PATCH 108/321] fix whitespaces

---
 modules/processing.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 15b639e1..2a332514 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -460,7 +460,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
                     devices.torch_gc()
 
                 image = Image.fromarray(x_sample)
-                
+
                 if p.color_corrections is not None and i < len(p.color_corrections):
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
                         image_without_cc = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)

From b297cc3324979ec78d69b2d11dd18030dfad7bcc Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 20:06:42 +0900
Subject: [PATCH 109/321] Hypernetworks - fix KeyError in statistics caching

Statistics logging has changed to {filename : list[losses]}, so it has to use loss_info[key].pop()
---
 modules/hypernetworks/hypernetwork.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 98a7b62e..33827210 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -274,8 +274,8 @@ def log_statistics(loss_info:dict, key, value):
         loss_info[key] = [value]
     else:
         loss_info[key].append(value)
-        if len(loss_info) > 1024:
-            loss_info.pop(0)
+        if len(loss_info[key]) > 1024:
+            loss_info[key].pop(0)
 
 
 def statistics(data):

From 40b56c9289bf9458ae5ef3c1990ccea851c6c3e2 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 21:07:07 +0900
Subject: [PATCH 110/321] cleanup some code

---
 modules/hypernetworks/hypernetwork.py | 14 +++-----------
 1 file changed, 3 insertions(+), 11 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 33827210..4072bf54 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -16,6 +16,7 @@ from modules.textual_inversion import textual_inversion
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 from torch import einsum
 
+from collections import defaultdict, deque
 from statistics import stdev, mean
 
 class HypernetworkModule(torch.nn.Module):
@@ -269,15 +270,6 @@ def stack_conds(conds):
     return torch.stack(conds)
 
 
-def log_statistics(loss_info:dict, key, value):
-    if key not in loss_info:
-        loss_info[key] = [value]
-    else:
-        loss_info[key].append(value)
-        if len(loss_info[key]) > 1024:
-            loss_info[key].pop(0)
-
-
 def statistics(data):
     total_information = f"loss:{mean(data):.3f}"+u"\u00B1"+f"({stdev(data)/ (len(data)**0.5):.3f})"
     recent_data = data[-32:]
@@ -341,7 +333,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         weight.requires_grad = True
 
     size = len(ds.indexes)
-    loss_dict = {}
+    loss_dict = defaultdict(lambda : deque(maxlen = 1024))
     losses = torch.zeros((size,))
     previous_mean_loss = 0
     print("Mean loss of {} elements".format(size))
@@ -383,7 +375,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             losses[hypernetwork.step % losses.shape[0]] = loss.item()
             for entry in entries:
-                log_statistics(loss_dict, entry.filename, loss.item())
+                loss_dict[entry.filename].append(loss.item())
                 
             optimizer.zero_grad()
             weights[0].grad = None

From 348f89c8d40397c1875cff4a7331018785f9c3b8 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 21:29:53 +0900
Subject: [PATCH 111/321] statistics for pbar

---
 modules/hypernetworks/hypernetwork.py | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 4072bf54..48b56029 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -335,6 +335,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     size = len(ds.indexes)
     loss_dict = defaultdict(lambda : deque(maxlen = 1024))
     losses = torch.zeros((size,))
+    previous_mean_losses = [0]
     previous_mean_loss = 0
     print("Mean loss of {} elements".format(size))
 
@@ -356,7 +357,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
         if len(loss_dict) > 0:
-            previous_mean_loss = sum(i[-1] for i in loss_dict.values()) / len(loss_dict)
+            previous_mean_losses = [i[-1] for i in loss_dict.values()]
+            previous_mean_loss = mean(previous_mean_losses)
             
         scheduler.apply(optimizer, hypernetwork.step)
         if scheduler.finished:
@@ -391,7 +393,13 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
         if torch.isnan(losses[hypernetwork.step % losses.shape[0]]):
             raise RuntimeError("Loss diverged.")
-        pbar.set_description(f"dataset loss: {previous_mean_loss:.7f}")
+        
+        if len(previous_mean_losses) > 1:
+            std = stdev(previous_mean_losses)
+        else:
+            std = 0
+        dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
+        pbar.set_description(dataset_loss_info)
 
         if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
             # Before saving, change name to match current checkpoint.

From 0d2e1dac407a0e2f5b148d314715f0457b2525b7 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 21:41:39 +0900
Subject: [PATCH 112/321] convert deque -> list

I don't feel this being efficient
---
 modules/hypernetworks/hypernetwork.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 48b56029..fb510fa7 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -282,7 +282,7 @@ def report_statistics(loss_info:dict):
     for key in keys:
         try:
             print("Loss statistics for file " + key)
-            info, recent = statistics(loss_info[key])
+            info, recent = statistics(list(loss_info[key]))
             print(info)
             print(recent)
         except Exception as e:

From e9a410b5357612f63528015c5533c2185dcff92e Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sun, 23 Oct 2022 21:47:39 +0900
Subject: [PATCH 113/321] check length for variance

---
 modules/hypernetworks/hypernetwork.py | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index fb510fa7..d647ea55 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -271,9 +271,17 @@ def stack_conds(conds):
 
 
 def statistics(data):
-    total_information = f"loss:{mean(data):.3f}"+u"\u00B1"+f"({stdev(data)/ (len(data)**0.5):.3f})"
+    if len(data) < 2:
+        std = 0
+    else:
+        std = stdev(data)
+    total_information = f"loss:{mean(data):.3f}" + u"\u00B1" + f"({std/ (len(data) ** 0.5):.3f})"
     recent_data = data[-32:]
-    recent_information = f"recent 32 loss:{mean(recent_data):.3f}"+u"\u00B1"+f"({stdev(recent_data)/ (len(recent_data)**0.5):.3f})"
+    if len(recent_data) < 2:
+        std = 0
+    else:
+        std = stdev(recent_data)
+    recent_information = f"recent 32 loss:{mean(recent_data):.3f}" + u"\u00B1" + f"({std / (len(recent_data) ** 0.5):.3f})"
     return total_information, recent_information
 
 

From 6cbb04f7a5e675cf1f6dfc247aa9c9e8df7dc5ce Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 09:15:26 +0300
Subject: [PATCH 114/321] fix #3517 breaking txt2img

---
 modules/processing.py | 31 ++++++++++++++++++-------------
 1 file changed, 18 insertions(+), 13 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 2a332514..c61bbfbd 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -46,18 +46,23 @@ def apply_color_correction(correction, image):
 
     return image
 
-def apply_overlay(overlay_exists, overlay, paste_loc, image):
-    if overlay_exists:
-        if paste_loc is not None:
-            x, y, w, h = paste_loc
-            base_image = Image.new('RGBA', (overlay.width, overlay.height))
-            image = images.resize_image(1, image, w, h)
-            base_image.paste(image, (x, y))
-            image = base_image
 
-        image = image.convert('RGBA')
-        image.alpha_composite(overlay)
-        image = image.convert('RGB')
+def apply_overlay(image, paste_loc, index, overlays):
+    if overlays is None or index >= len(overlays):
+        return image
+
+    overlay = overlays[index]
+
+    if paste_loc is not None:
+        x, y, w, h = paste_loc
+        base_image = Image.new('RGBA', (overlay.width, overlay.height))
+        image = images.resize_image(1, image, w, h)
+        base_image.paste(image, (x, y))
+        image = base_image
+
+    image = image.convert('RGBA')
+    image.alpha_composite(overlay)
+    image = image.convert('RGB')
 
     return image
 
@@ -463,11 +468,11 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
 
                 if p.color_corrections is not None and i < len(p.color_corrections):
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
-                        image_without_cc = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)
+                        image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)
                         images.save_image(image_without_cc, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
                     image = apply_color_correction(p.color_corrections[i], image)
 
-                image = apply_overlay(p.overlay_images is not None and i < len(p.overlay_images), p.overlay_images[i], p.paste_to, image)
+                image = apply_overlay(image, p.paste_to, i, p.overlay_images)
 
                 if opts.samples_save and not p.do_not_save_samples:
                     images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p)

From c6459986cb98211565c5a4d7596f9617e82b6d12 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Sun, 23 Oct 2022 02:41:17 +0900
Subject: [PATCH 115/321] update ja translation

---
 localizations/ja_JP.json | 91 ++++++++++++++++++++++++++++++++++------
 1 file changed, 78 insertions(+), 13 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 514b579e..f9987473 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -14,9 +14,10 @@
     "img2img": "img2img",
     "Extras": "その他",
     "PNG Info": "PNG内の情報を表示",
-    "History": "履歴",
+    "Image Browser": "画像閲覧",
     "Checkpoint Merger": "Checkpointの統合",
     "Train": "学習",
+    "Create aesthetic embedding": "Create aesthetic embedding",
     "Settings": "設定",
     "Prompt": "プロンプト",
     "Negative prompt": "ネガティブ プロンプト",
@@ -67,8 +68,18 @@
     "Variation strength": "Variation 強度",
     "Resize seed from width": "Resize seed from width",
     "Resize seed from height": "Resize seed from height",
-    "Script": "スクリプト",
+    "Open for Clip Aesthetic!": "Open for Clip Aesthetic!",
+    "▼": "▼",
+    "Aesthetic weight": "Aesthetic weight",
+    "Aesthetic steps": "Aesthetic steps",
+    "Aesthetic learning rate": "Aesthetic learning rate",
+    "Slerp interpolation": "Slerp interpolation",
+    "Aesthetic imgs embedding": "Aesthetic imgs embedding",
     "None": "なし",
+    "Aesthetic text for imgs": "Aesthetic text for imgs",
+    "Slerp angle": "Slerp angle",
+    "Is negative text": "Is negative text",
+    "Script": "スクリプト",
     "Prompt matrix": "Prompt matrix",
     "Prompts from file or textbox": "Prompts from file or textbox",
     "X/Y plot": "X/Y plot",
@@ -76,6 +87,7 @@
     "Show Textbox": "Show Textbox",
     "File with inputs": "File with inputs",
     "Prompts": "プロンプト",
+    "Save images to path": "Save images to path",
     "X type": "X軸の種類",
     "Nothing": "なし",
     "Var. seed": "Var. seed",
@@ -86,7 +98,7 @@
     "Sampler": "サンプラー",
     "Checkpoint name": "Checkpoint名",
     "Hypernetwork": "Hypernetwork",
-    "Hypernet str.": "Hypernet強度",
+    "Hypernet str.": "Hypernetの強度",
     "Sigma Churn": "Sigma Churn",
     "Sigma min": "Sigma min",
     "Sigma max": "Sigma max",
@@ -141,6 +153,7 @@
     "Outpainting mk2": "Outpainting mk2",
     "Poor man's outpainting": "Poor man's outpainting",
     "SD upscale": "SD アップスケール",
+    "[C] Video to video": "[C] Video to video",
     "should be 2 or lower.": "2以下にすること",
     "Override `Sampling method` to Euler?(this method is built for it)": "サンプリングアルゴリズムをEulerに上書きする(そうすることを前提に設計されています)",
     "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
@@ -170,9 +183,22 @@
     "LDSR": "LDSR",
     "BSRGAN 4x": "BSRGAN 4x",
     "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN General 4xV3": "R-ESRGAN General 4xV3",
+    "R-ESRGAN General WDN 4xV3": "R-ESRGAN General WDN 4xV3",
+    "R-ESRGAN AnimeVideo": "R-ESRGAN AnimeVideo",
+    "R-ESRGAN 4x+": "R-ESRGAN 4x+",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "R-ESRGAN 2x+": "R-ESRGAN 2x+",
     "ScuNET GAN": "ScuNET GAN",
     "ScuNET PSNR": "ScuNET PSNR",
     "SwinIR 4x": "SwinIR 4x",
+    "Input file path": "Input file path",
+    "CRF (quality, less is better, x264 param)": "CRF (quality, less is better, x264 param)",
+    "FPS": "FPS",
+    "Seed step size": "Seed step size",
+    "Seed max distance": "Seed max distance",
+    "Start time": "Start time",
+    "End time": "End time",
     "Single Image": "単一画像",
     "Batch Process": "バッチ処理",
     "Batch from Directory": "フォルダからバッチ処理",
@@ -182,17 +208,18 @@
     "Scale to": "解像度指定",
     "Resize": "倍率",
     "Crop to fit": "合うように切り抜き",
-    "Upscaler 2": "アップスケーラー 2",
     "Upscaler 2 visibility": "Upscaler 2 visibility",
     "GFPGAN visibility": "GFPGAN visibility",
     "CodeFormer visibility": "CodeFormer visibility",
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
     "Open output directory": "出力フォルダを開く",
     "Send to txt2img": "txt2imgに送る",
-    "txt2img history": "txt2imgの履歴",
-    "img2img history": "img2imgの履歴",
-    "extras history": "その他タブの履歴",
-    "Renew Page": "更新",
+    "extras": "その他タブ",
+    "favorites": "お気に入り",
+    "Load": "読み込み",
+    "Images directory": "フォルダ",
+    "Prev batch": "前の batch",
+    "Next batch": "次の batch",
     "First Page": "最初のぺージへ",
     "Prev Page": "前ページへ",
     "Page Index": "ページ番号",
@@ -202,7 +229,12 @@
     "Delete": "削除",
     "Generate Info": "生成情報",
     "File Name": "ファイル名",
+    "Collect": "保存(お気に入り)",
+    "Refresh page": "Refresh page",
+    "Date to": "Date to",
+    "Number": "Number",
     "set_index": "set_index",
+    "Checkbox": "Checkbox",
     "A merger of the two checkpoints will be generated in your": "統合されたチェックポイントはあなたの",
     "checkpoint": "checkpoint",
     "directory.": "フォルダに保存されます.",
@@ -224,17 +256,37 @@
     "Name": "ファイル名",
     "Initialization text": "Initialization text",
     "Number of vectors per token": "Number of vectors per token",
+    "Overwrite Old Embedding": "Overwrite Old Embedding",
     "Modules": "Modules",
+    "Enter hypernetwork layer structure": "Enter hypernetwork layer structure",
+    "Select activation function of hypernetwork": "Select activation function of hypernetwork",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "Add layer normalization",
+    "Use dropout": "Use dropout",
+    "Overwrite Old Hypernetwork": "Overwrite Old Hypernetwork",
     "Source directory": "入力フォルダ",
     "Destination directory": "出力フォルダ",
+    "Existing Caption txt Action": "Existing Caption txt Action",
+    "ignore": "ignore",
+    "copy": "copy",
+    "prepend": "prepend",
+    "append": "append",
     "Create flipped copies": "反転画像を生成する",
-    "Split oversized images into two": "大きすぎる画像を2分割する",
+    "Split oversized images": "大きすぎる画像を分割する",
     "Use BLIP for caption": "BLIPで説明をつける",
     "Use deepbooru for caption": "deepbooruで説明をつける",
+    "Split image threshold": "分割する大きさの閾値",
+    "Split image overlap ratio": "Split image overlap ratio",
     "Preprocess": "前処理開始",
-    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "embeddingの学習をします;データセット内の画像は正方形でなければなりません。",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images",
+    "[wiki]": "[wiki]",
     "Embedding": "Embedding",
-    "Learning rate": "学習率",
+    "Embedding Learning rate": "Embedding Learning rate",
+    "Hypernetwork Learning rate": "Hypernetwork Learning rate",
     "Dataset directory": "データセットフォルダ",
     "Log directory": "ログフォルダ",
     "Prompt template file": "Prompt template file",
@@ -245,6 +297,8 @@
     "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
     "Train Hypernetwork": "Hypernetworkの学習を開始",
     "Train Embedding": "Embeddingの学習を開始",
+    "Create an aesthetic embedding out of any number of images": "Create an aesthetic embedding out of any number of images",
+    "Create images embedding": "Create images embedding",
     "Apply settings": "Apply settings",
     "Saving images/grids": "画像/グリッドの保存",
     "Always save all generated images": "生成された画像をすべて保存する",
@@ -295,7 +349,7 @@
     "Always print all generation info to standard output": "常にすべての生成に関する情報を標準出力(stdout)に出力する",
     "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
     "Training": "学習",
-    "Unload VAE and CLIP from VRAM when training": "学習を行う際、VAEとCLIPをVRAMから削除する",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "hypernetworkの学習をするとき、VAEとCLIPをRAMへ退避します。VRAMが節約できます。",
     "Filename word regex": "Filename word regex",
     "Filename join string": "Filename join string",
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
@@ -332,6 +386,7 @@
     "Do not show any images in results for web": "WebUI上で一切画像を表示しない",
     "Add model hash to generation information": "モデルのハッシュ値を生成情報に追加",
     "Add model name to generation information": "モデルの名称を生成情報に追加",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
     "Font for image grids that have text": "画像グリッド内のテキストフォント",
     "Enable full page image viewer": "フルページの画像ビューワーを有効化",
     "Show images zoomed in by default in full page image viewer": "フルページ画像ビューアでデフォルトで画像を拡大して表示する",
@@ -350,10 +405,16 @@
     "sigma tmin": "sigma tmin",
     "sigma noise": "sigma noise",
     "Eta noise seed delta": "Eta noise seed delta",
+    "Images Browser": "画像閲覧",
+    "Preload images at startup": "起動時に画像を読み込んでおく",
+    "Number of pictures displayed on each page": "各ページに表示される画像の枚数",
+    "Minimum number of pages per load": "Minimum number of pages per load",
+    "Number of grids in each row": "Number of grids in each row",
     "Request browser notifications": "ブラウザ通知の許可を要求する",
     "Download localization template": "ローカライゼーション用のテンプレートをダウンロードする",
     "Reload custom script bodies (No ui updates, No restart)": "カスタムスクリプトを再読み込み (UIは変更されず、再起動もしません。)",
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradioを再起動してコンポーネントをリフレッシュする (Custom Scripts, ui.py, js, cssのみ影響を受ける)",
+    "Audio": "Audio",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "ネガティブ プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Add a random artist to the prompt.": "芸術家などの名称をプロンプトに追加",
@@ -379,6 +440,7 @@
     "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
     "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
     "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
+    "This text is used to rotate the feature space of the imgs embs": "This text is used to rotate the feature space of the imgs embs",
     "Separate values for X axis using commas.": "X軸に用いる値をカンマ(,)で区切って入力してください。",
     "Separate values for Y axis using commas.": "Y軸に用いる値をカンマ(,)で区切って入力してください。",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
@@ -398,8 +460,10 @@
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.",
     "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
     "Leave blank to save images to the default path.": "空欄でデフォルトの場所へ画像を保存",
+    "Input images directory": "Input images directory",
     "Result = A * (1 - M) + B * M": "結果モデル = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "結果モデル = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
     "Path to directory with input images": "Path to directory with input images",
     "Path to directory where to write outputs": "Path to directory where to write outputs",
     "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
@@ -409,5 +473,6 @@
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
     "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
     "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing."
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+    "Enable Autocomplete": "自動補完を有効化"
 }
\ No newline at end of file

From a921badac3df177ab4bd8f6469dceb0342269cb7 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Sun, 23 Oct 2022 18:12:21 +0900
Subject: [PATCH 116/321] update ja translation

---
 localizations/ja_JP.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index f9987473..a790b0a6 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -366,7 +366,7 @@
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
     "Filter NSFW content": "NSFW(≒R-18)なコンテンツを検閲する",
-    "Stop At last layers of CLIP model": "最後から何層目でCLIPを止めるか(stop…layers of CLIP model)",
+    "Stop At last layers of CLIP model": "最後から何層目でCLIPを止めるか",
     "Interrogate Options": "Interrogate 設定",
     "Interrogate: keep models in VRAM": "Interrogate: モデルをVRAMに保持する",
     "Interrogate: use artists from artists.csv": "Interrogate: artists.csvにある芸術家などの名称を利用する",

From e33a05f263ff39f2750e4aa51b04d463c55cea4c Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Sun, 23 Oct 2022 21:16:44 +0900
Subject: [PATCH 117/321] update ja translation

---
 localizations/ja_JP.json | 209 ++++++++++++++++++++-------------------
 1 file changed, 108 insertions(+), 101 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index a790b0a6..741875c3 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -10,6 +10,7 @@
     "•": "•",
     "gradioで作ろう": "gradioで作ろう",
     "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "Stop At last layers of CLIP model": "最後から何層目でCLIPを止めるか",
     "txt2img": "txt2img",
     "img2img": "img2img",
     "Extras": "その他",
@@ -17,7 +18,7 @@
     "Image Browser": "画像閲覧",
     "Checkpoint Merger": "Checkpointの統合",
     "Train": "学習",
-    "Create aesthetic embedding": "Create aesthetic embedding",
+    "Create aesthetic embedding": "aesthetic embeddingを作る",
     "Settings": "設定",
     "Prompt": "プロンプト",
     "Negative prompt": "ネガティブ プロンプト",
@@ -58,7 +59,7 @@
     "Highres. fix": "高解像度 fix(マウスオーバーで詳細)",
     "Firstpass width": "Firstpass width",
     "Firstpass height": "Firstpass height",
-    "Denoising strength": "ノイズ除去 強度",
+    "Denoising strength": "ノイズ除去強度",
     "Batch count": "バッチ生成回数",
     "Batch size": "バッチあたり生成枚数",
     "CFG Scale": "CFG Scale",
@@ -80,13 +81,17 @@
     "Slerp angle": "Slerp angle",
     "Is negative text": "Is negative text",
     "Script": "スクリプト",
+    "nai2SD Prompt Converter": "nai2SD Prompt Converter",
     "Prompt matrix": "Prompt matrix",
     "Prompts from file or textbox": "Prompts from file or textbox",
+    "Save steps of the sampling process to files": "Save steps of the sampling process to files",
     "X/Y plot": "X/Y plot",
+    "Prompts": "プロンプト",
+    "convert": "convert",
+    "Converted Prompts": "Converted Prompts",
     "Put variable parts at start of prompt": "Put variable parts at start of prompt",
     "Show Textbox": "Show Textbox",
     "File with inputs": "File with inputs",
-    "Prompts": "プロンプト",
     "Save images to path": "Save images to path",
     "X type": "X軸の種類",
     "Nothing": "なし",
@@ -125,23 +130,23 @@
     "Batch img2img": "Batch img2img",
     "Image for img2img": "Image for img2img",
     "Image for inpainting with mask": "Image for inpainting with mask",
-    "Mask": "Mask",
-    "Mask blur": "Mask blur",
-    "Mask mode": "Mask mode",
-    "Draw mask": "Draw mask",
-    "Upload mask": "Upload mask",
-    "Masking mode": "Masking mode",
-    "Inpaint masked": "Inpaint masked",
-    "Inpaint not masked": "Inpaint not masked",
-    "Masked content": "Masked content",
-    "fill": "fill",
+    "Mask": "マスク",
+    "Mask blur": "マスクぼかし",
+    "Mask mode": "マスクモード",
+    "Draw mask": "マスクをかける",
+    "Upload mask": "マスクをアップロードする",
+    "Masking mode": "マスキング方法",
+    "Inpaint masked": "マスクされた場所を描き直す",
+    "Inpaint not masked": "マスクされていない場所を描き直す",
+    "Masked content": "マスクされたコンテンツ",
+    "fill": "埋める",
     "original": "オリジナル",
-    "latent noise": "latent noise",
-    "latent nothing": "latent nothing",
-    "Inpaint at full resolution": "Inpaint at full resolution",
-    "Inpaint at full resolution padding, pixels": "Inpaint at full resolution padding, pixels",
-    "Process images in a directory on the same machine where the server is running.": "Process images in a directory on the same machine where the server is running.",
-    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Use an empty output directory to save pictures normally instead of writing to the output directory.",
+    "latent noise": "潜在空間でのノイズ",
+    "latent nothing": "潜在空間での無",
+    "Inpaint at full resolution": "フル解像度で描き直す",
+    "Inpaint at full resolution padding, pixels": "フル解像度で描き直す際のパディング数。px単位。",
+    "Process images in a directory on the same machine where the server is running.": "サーバーが稼働しているマシンと同じフォルダにある画像を処理します",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "\"出力フォルダ\"を空にすると、通常の画像と同様に保存されます。",
     "Input directory": "入力フォルダ",
     "Output directory": "出力フォルダ",
     "Resize mode": "リサイズモード",
@@ -156,18 +161,18 @@
     "[C] Video to video": "[C] Video to video",
     "should be 2 or lower.": "2以下にすること",
     "Override `Sampling method` to Euler?(this method is built for it)": "サンプリングアルゴリズムをEulerに上書きする(そうすることを前提に設計されています)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
-    "Original prompt": "Original prompt",
-    "Original negative prompt": "Original negative prompt",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
-    "Decode steps": "Decode steps",
-    "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "プロンプトをオリジナルプロンプトと同じ値に上書きする(ネガティブプロンプトも同様)",
+    "Original prompt": "オリジナルのプロンプト",
+    "Original negative prompt": "オリジナルのネガティブプロンプト",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "サンプリング数をデコードステップ数と同じ値に上書きする",
+    "Decode steps": "デコードステップ数",
+    "Override `Denoising strength` to 1?": "ノイズ除去強度を1に上書きする",
     "Decode CFG scale": "Decode CFG scale",
-    "Randomness": "Randomness",
+    "Randomness": "ランダム性",
     "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
-    "Loops": "Loops",
+    "Loops": "ループ数",
     "Denoising strength change factor": "Denoising strength change factor",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推奨設定: サンプリング回数: 80-100, サンプリングアルゴリズム: Euler a, ノイズ除去強度: 0.8",
     "Pixels to expand": "Pixels to expand",
     "Outpainting direction": "Outpainting direction",
     "left": "左",
@@ -181,7 +186,6 @@
     "Upscaler": "アップスケーラー",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
-    "BSRGAN 4x": "BSRGAN 4x",
     "ESRGAN_4x": "ESRGAN_4x",
     "R-ESRGAN General 4xV3": "R-ESRGAN General 4xV3",
     "R-ESRGAN General WDN 4xV3": "R-ESRGAN General WDN 4xV3",
@@ -211,7 +215,7 @@
     "Upscaler 2 visibility": "Upscaler 2 visibility",
     "GFPGAN visibility": "GFPGAN visibility",
     "CodeFormer visibility": "CodeFormer visibility",
-    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer weight (0 = maximum effect, 1 = minimum effect)",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormerの重み (注:0で最大、1で最小)",
     "Open output directory": "出力フォルダを開く",
     "Send to txt2img": "txt2imgに送る",
     "extras": "その他タブ",
@@ -225,12 +229,12 @@
     "Page Index": "ページ番号",
     "Next Page": "次ページへ",
     "End Page": "最後のページへ",
-    "number of images to delete consecutively next": "number of images to delete consecutively next",
+    "number of images to delete consecutively next": "次の削除で一度に削除する画像数",
     "Delete": "削除",
     "Generate Info": "生成情報",
     "File Name": "ファイル名",
     "Collect": "保存(お気に入り)",
-    "Refresh page": "Refresh page",
+    "Refresh page": "ページを更新",
     "Date to": "Date to",
     "Number": "Number",
     "set_index": "set_index",
@@ -253,13 +257,13 @@
     "Create embedding": "Embeddingを作る",
     "Create hypernetwork": "Hypernetworkを作る",
     "Preprocess images": "画像の前処理",
-    "Name": "ファイル名",
+    "Name": "名称",
     "Initialization text": "Initialization text",
     "Number of vectors per token": "Number of vectors per token",
-    "Overwrite Old Embedding": "Overwrite Old Embedding",
-    "Modules": "Modules",
-    "Enter hypernetwork layer structure": "Enter hypernetwork layer structure",
-    "Select activation function of hypernetwork": "Select activation function of hypernetwork",
+    "Overwrite Old Embedding": "古いEmbeddingを上書き",
+    "Modules": "モジュール",
+    "Enter hypernetwork layer structure": "Hypernetworkのレイヤー構造を入力",
+    "Select activation function of hypernetwork": "Hypernetworkの活性化関数",
     "linear": "linear",
     "relu": "relu",
     "leakyrelu": "leakyrelu",
@@ -267,14 +271,14 @@
     "swish": "swish",
     "Add layer normalization": "Add layer normalization",
     "Use dropout": "Use dropout",
-    "Overwrite Old Hypernetwork": "Overwrite Old Hypernetwork",
+    "Overwrite Old Hypernetwork": "古いHypernetworkを上書きする",
     "Source directory": "入力フォルダ",
     "Destination directory": "出力フォルダ",
-    "Existing Caption txt Action": "Existing Caption txt Action",
-    "ignore": "ignore",
-    "copy": "copy",
-    "prepend": "prepend",
-    "append": "append",
+    "Existing Caption txt Action": "既存のキャプションの取り扱い",
+    "ignore": "無視する",
+    "copy": "コピーする",
+    "prepend": "先頭に加える",
+    "append": "末尾に加える",
     "Create flipped copies": "反転画像を生成する",
     "Split oversized images": "大きすぎる画像を分割する",
     "Use BLIP for caption": "BLIPで説明をつける",
@@ -282,24 +286,24 @@
     "Split image threshold": "分割する大きさの閾値",
     "Split image overlap ratio": "Split image overlap ratio",
     "Preprocess": "前処理開始",
-    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "EmbeddingまたはHypernetworkを学習します。1:1の比率の画像セットを含むフォルダを指定する必要があります。",
     "[wiki]": "[wiki]",
     "Embedding": "Embedding",
-    "Embedding Learning rate": "Embedding Learning rate",
-    "Hypernetwork Learning rate": "Hypernetwork Learning rate",
+    "Embedding Learning rate": "Embeddingの学習率(Learning rate)",
+    "Hypernetwork Learning rate": "Hypernetworkの学習率(Learning rate)",
     "Dataset directory": "データセットフォルダ",
     "Log directory": "ログフォルダ",
-    "Prompt template file": "Prompt template file",
+    "Prompt template file": "プロンプトのテンプレートファイル",
     "Max steps": "最大ステップ数",
     "Save an image to log directory every N steps, 0 to disable": "指定したステップ数ごとに画像を生成し、ログに保存する。0で無効化。",
     "Save a copy of embedding to log directory every N steps, 0 to disable": "指定したステップ数ごとにEmbeddingのコピーをログに保存する。0で無効化。",
     "Save images with embedding in PNG chunks": "保存する画像にembeddingを埋め込む",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Read parameters (prompt, etc...) from txt2img tab when making previews",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "プレビューの作成にtxt2imgタブから読み込んだパラメータ(プロンプトなど)を使う",
     "Train Hypernetwork": "Hypernetworkの学習を開始",
     "Train Embedding": "Embeddingの学習を開始",
     "Create an aesthetic embedding out of any number of images": "Create an aesthetic embedding out of any number of images",
     "Create images embedding": "Create images embedding",
-    "Apply settings": "Apply settings",
+    "Apply settings": "設定を適用",
     "Saving images/grids": "画像/グリッドの保存",
     "Always save all generated images": "生成された画像をすべて保存する",
     "File format for images": "画像ファイルの保存形式",
@@ -310,15 +314,15 @@
     "Do not save grids consisting of one picture": "1画像からなるグリッド画像は保存しない",
     "Prevent empty spots in grid (when set to autodetect)": "(自動設定のとき)グリッドに空隙が生じるのを防ぐ",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "グリッドの列数; -1で自動設定、0でバッチ生成回数と同じにする",
-    "Save text information about generation parameters as chunks to png files": "生成に関するパラメーターをpng画像に含める",
+    "Save text information about generation parameters as chunks to png files": "生成に関するパラメーターをPNG画像に含める",
     "Create a text file next to every image with generation parameters.": "保存する画像とともに生成パラメータをテキストファイルで保存する",
     "Save a copy of image before doing face restoration.": "顔修復を行う前にコピーを保存しておく。",
     "Quality for saved jpeg images": "JPG保存時の画質",
     "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG画像が4MBを超えるか、どちらか1辺の長さが4000を超えたなら、ダウンスケールしてコピーを別にJPGで保存する",
-    "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
-    "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+    "Use original name for output filename during batch process in extras tab": "その他タブでバッチ処理をする際、元のファイル名を出力ファイル名に使う",
+    "When using 'Save' button, only save a single selected image": "\"保存\"ボタンを使うとき、単一の選択された画像のみを保存する",
     "Do not add watermark to images": "電子透かしを画像に追加しない",
-    "Paths for saving": "Paths for saving",
+    "Paths for saving": "保存する場所",
     "Output directory for images; if empty, defaults to three directories below": "画像の保存先フォルダ(下項目のデフォルト値になります)",
     "Output directory for txt2img images": "txt2imgで作った画像の保存先フォルダ",
     "Output directory for img2img images": "img2imgで作った画像の保存先フォルダ",
@@ -345,13 +349,13 @@
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormerの重みパラメーター;0が最大で1が最小",
     "Move face restoration model from VRAM into RAM after processing": "処理終了後、顔修復モデルをVRAMからRAMへと移動する",
     "System": "システム設定",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成中のVRAM使用率の取得間隔。0にすると取得しない。",
     "Always print all generation info to standard output": "常にすべての生成に関する情報を標準出力(stdout)に出力する",
-    "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+    "Add a second progress bar to the console that shows progress for an entire job.": "ジョブ全体の進捗をコンソールに表示する2つ目のプログレスバーを追加する",
     "Training": "学習",
-    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "hypernetworkの学習をするとき、VAEとCLIPをRAMへ退避します。VRAMが節約できます。",
-    "Filename word regex": "Filename word regex",
-    "Filename join string": "Filename join string",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "hypernetworkの学習をするとき、VAEとCLIPをRAMへ退避する。VRAMが節約できます。",
+    "Filename word regex": "ファイル名の正規表現(学習用)",
+    "Filename join string": "ファイル名の結合子",
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
     "Stable Diffusion": "Stable Diffusion",
@@ -360,13 +364,12 @@
     "Apply color correction to img2img results to match original colors.": "元画像に合わせてimg2imgの結果を色補正する",
     "Save a copy of image before applying color correction to img2img results": "色補正をする前の画像も保存する",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "img2imgでスライダーで指定されたステップ数を正確に実行する（通常は、ノイズ除去を少なくするためにより少ないステップ数で実行します）。",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "より良い結果を得るために、Kサンプラーで量子化を有効にします。これにより既存のシードが変更される可能性があります。適用するには再起動が必要です。",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "強調: (text)とするとモデルはtextをより強く扱い、[text]とするとモデルはtextをより弱く扱います。",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "古い強調の実装を使う。古い生成物を再現するのに使えます。",
-    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-diffusionサンプラーによるバッチ生成時に、単一画像生成時と同じ画像を生成する",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "75トークン以上を使用する場合、nトークン内の最後のカンマからパディングして一貫性を高める",
     "Filter NSFW content": "NSFW(≒R-18)なコンテンツを検閲する",
-    "Stop At last layers of CLIP model": "最後から何層目でCLIPを止めるか",
     "Interrogate Options": "Interrogate 設定",
     "Interrogate: keep models in VRAM": "Interrogate: モデルをVRAMに保持する",
     "Interrogate: use artists from artists.csv": "Interrogate: artists.csvにある芸術家などの名称を利用する",
@@ -382,18 +385,20 @@
     "User interface": "UI設定",
     "Show progressbar": "プログレスバーを表示",
     "Show image creation progress every N sampling steps. Set 0 to disable.": "指定したステップ数ごとに画像の生成過程を表示する。0で無効化。",
+    "Show previews of all images generated in a batch as a grid": "Show previews of all images generated in a batch as a grid",
     "Show grid in results for web": "WebUI上でグリッド表示",
     "Do not show any images in results for web": "WebUI上で一切画像を表示しない",
     "Add model hash to generation information": "モデルのハッシュ値を生成情報に追加",
     "Add model name to generation information": "モデルの名称を生成情報に追加",
-    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "テキストからUIに生成パラメータを読み込む場合(PNG情報または貼り付けられたテキストから)、選択されたモデル/チェックポイントは変更しない。",
     "Font for image grids that have text": "画像グリッド内のテキストフォント",
     "Enable full page image viewer": "フルページの画像ビューワーを有効化",
     "Show images zoomed in by default in full page image viewer": "フルページ画像ビューアでデフォルトで画像を拡大して表示する",
     "Show generation progress in window title.": "ウィンドウのタイトルで生成の進捗を表示",
-    "Quicksettings list": "Quicksettings list",
+    "Quicksettings list": "クイック設定",
     "Localization (requires restart)": "言語 (プログラムの再起動が必要)",
     "ja_JP": "ja_JP",
+    "ru_RU": "ru_RU",
     "Sampler parameters": "サンプラー parameters",
     "Hide samplers in user interface (requires restart)": "使わないサンプリングアルゴリズムを隠す (再起動が必要)",
     "eta (noise multiplier) for DDIM": "DDIMで用いるeta (noise multiplier)",
@@ -414,65 +419,67 @@
     "Download localization template": "ローカライゼーション用のテンプレートをダウンロードする",
     "Reload custom script bodies (No ui updates, No restart)": "カスタムスクリプトを再読み込み (UIは変更されず、再起動もしません。)",
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradioを再起動してコンポーネントをリフレッシュする (Custom Scripts, ui.py, js, cssのみ影響を受ける)",
-    "Audio": "Audio",
+    "Audio": "音声",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "ネガティブ プロンプト (Ctrl+Enter か Alt+Enter を押して生成)",
     "Add a random artist to the prompt.": "芸術家などの名称をプロンプトに追加",
-    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "プロンプトから生成パラメータを読み込むか、プロンプトが空の場合は最後の生成パラメータをユーザーインターフェースに読み込む。",
     "Save style": "スタイルを保存する",
     "Apply selected styles to current prompt": "現在のプロンプトに選択したスタイルを適用する",
     "Stop processing current image and continue processing.": "現在の処理を中断し、その後の処理は続ける",
     "Stop processing images and return any results accumulated so far.": "処理を中断し、それまでに出来た結果を表示する",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "適用するスタイル。スタイルは、ポジティブプロンプトとネガティブプロンプトの両方のコンポーネントを持ち、両方に適用される。",
     "Do not do anything special": "特別なことをなにもしない",
     "Which algorithm to use to produce the image": "どのアルゴリズムを使って生成するか",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常に独創的で、ステップ数によって全く異なる画像が得られる、ステップ数を30～40より高く設定しても効果がない。",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 描き直しには最適",
-    "Produce an image that can be tiled.": "Produce an image that can be tiled.",
+    "Produce an image that can be tiled.": "タイルとして扱える画像を生成する",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "2ステップで、まず部分的に小さい解像度で画像を作成し、その後アップスケールすることで、構図を変えずにディテールが改善されます。",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "アルゴリズムが画像の内容をどの程度参考にするかを決定します。0 にすると何も変わりませんし、 1 にすると全く無関係な画像になります。1.0未満の値ではスライダーで指定したサンプリングステップ数よりも少ないステップ数で処理が行われます。",
     "How many batches of images to create": "バッチ処理を何回行うか",
     "How many image to create in a single batch": "1回のバッチ処理で何枚の画像を生成するか",
-    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 生成する画像がどの程度プロンプトに沿ったものになるか。 - 低い値の方がよりクリエイティブな結果を生み出します。",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "乱数発生器の出力を決定する値。同じパラメータとシードで画像を作成すれば、同じ結果が得られます。",
     "Set seed to -1, which will cause a new random number to be used every time": "シード値を -1 に設定するとランダムに生成します。",
     "Reuse seed from last generation, mostly useful if it was randomed": "前回生成時のシード値を読み出す。(ランダム生成時に便利)",
-    "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
+    "Seed of a different picture to be mixed into the generation.": "生成時に混合されることになる画像のシード値",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Variationの強度。0の場合、何の効果もありません。1では、バリエーションシードで完全な画像を得ることができます（Ancestalなアルゴリズム以外では、何か(?)を得るだけです）。",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "同じシードで指定された解像度の似た画像を生成することを試みる。",
     "This text is used to rotate the feature space of the imgs embs": "This text is used to rotate the feature space of the imgs embs",
     "Separate values for X axis using commas.": "X軸に用いる値をカンマ(,)で区切って入力してください。",
     "Separate values for Y axis using commas.": "Y軸に用いる値をカンマ(,)で区切って入力してください。",
-    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "画像はフォルダ(デフォルト:log/images)に、生成パラメータはcsvファイルに書き出します。",
     "Open images output directory": "画像の出力フォルダを開く",
-    "How much to blur the mask before processing, in pixels.": "How much to blur the mask before processing, in pixels.",
-    "What to put inside the masked area before processing it with Stable Diffusion.": "What to put inside the masked area before processing it with Stable Diffusion.",
-    "fill it with colors of the image": "fill it with colors of the image",
-    "keep whatever was there originally": "keep whatever was there originally",
-    "fill it with latent space noise": "fill it with latent space noise",
-    "fill it with latent space zeroes": "fill it with latent space zeroes",
-    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.",
-    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.",
-    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.",
-    "How many times to repeat processing an image and using it as input for the next iteration": "How many times to repeat processing an image and using it as input for the next iteration",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.",
-    "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
+    "How much to blur the mask before processing, in pixels.": "処理前にどれだけマスクをぼかすか。px単位。",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Stable Diffusionにわたす前にマスクされたエリアに何を書き込むか",
+    "fill it with colors of the image": "元画像の色で埋める",
+    "keep whatever was there originally": "もともとあったものをそのままにする",
+    "fill it with latent space noise": "潜在空間(latent space)におけるノイズで埋める",
+    "fill it with latent space zeroes": "潜在空間(latent space)における0で埋める",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "マスクされた領域をターゲット解像度にアップスケールし、インペイントを行い、元の解像度にダウンスケールして元の画像に貼り付けます。",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "画像をターゲット解像度にリサイズします。高さと幅が一致しない場合、アスペクト比が正しくなくなります。",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "対象の解像度に画像をフィットさせます。はみ出た部分は切り取られます。",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "画像をリサイズして、ターゲット解像度の中に収まるようにします。空白部分は画像の色で埋めます。",
+    "How many times to repeat processing an image and using it as input for the next iteration": "何回画像処理を繰り返し、次の反復処理の入力として使用するか",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "ループバックモードにおいて、各ループでのノイズ除去の強度はこの値によって乗算されます。1より小さければ変化が小さくなっていって、生成される画像は1つの画像に収束します。1より大きいとどんどん変化が大きくなるので、生成される画像はよりカオスになります。",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SDアップスケールで、どれだけタイル間の重なりを確保するか(px単位)。タイルの一部を重複させることで、1枚の画像にした時明らかな継ぎ目がなくなります。",
+    "A directory on the same machine where the server is running.": "サーバーが稼働しているのと同じマシンのあるフォルダ",
     "Leave blank to save images to the default path.": "空欄でデフォルトの場所へ画像を保存",
     "Input images directory": "Input images directory",
-    "Result = A * (1 - M) + B * M": "結果モデル = A * (1 - M) + B * M",
-    "Result = A + (B - C) * M": "結果モデル = A + (B - C) * M",
-    "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
-    "Path to directory with input images": "Path to directory with input images",
-    "Path to directory where to write outputs": "Path to directory where to write outputs",
-    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "Result = A * (1 - M) + B * M": "出力されるモデル = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "出力されるモデル = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "最初と最後の数字は1でなければなりません。 例:'1, 2, 1'",
+    "Path to directory with input images": "入力ファイルのあるフォルダの場所",
+    "Path to directory where to write outputs": "出力を書き込むフォルダの場所",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "以下のタグを用いてファイル名パターンを決められます: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 空白でデフォルト設定。",
     "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "このオプションを有効にすると、作成された画像にウォーターマークが追加されなくなります。警告:ウォーターマークを追加しない場合、非倫理的な行動とみなされる場合があります。",
-    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "Restore low quality faces using GFPGAN neural network": "GFPGANを用いて低クオリティーの画像を修復",
-    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
-    "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "以下のタグを用いてサブフォルダのフォルダ名パターンを決められます: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 空白でデフォルト設定",
+    "Restore low quality faces using GFPGAN neural network": "GFPGANを用いて低クオリティーな顔画像を修復",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "この正規表現を使ってファイル名から単語を抽出し、以下のオプションで結合して学習用のラベルテキストにします。ファイル名のテキストをそのまま使用する場合は、空白にしてください。",
+    "This string will be used to join split words into a single line if the option above is enabled.": "この文字列は、上記のオプションが有効な場合に、分割された単語を1行に結合するために使用されます。",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "上部のクイックアクセスバーに置く設定の設定名をカンマで区切って入力。設定名については modules/shared.py を参照してください。適用するには再起動が必要です。",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "この値が0以外の場合、シードに追加され、Etaでサンプラーを使用する際のノイズ用の乱数生成器を初期化するのに使用されます。これを利用して、さらにバリエーション豊かな画像を作成したり、他のソフトの画像に合わせたりすることができます。",
+    "NAIConvert": "NAIから変換",
+    "History": "履歴",
     "Enable Autocomplete": "自動補完を有効化"
 }
\ No newline at end of file

From 71d14a4c40503f0788e2881bb406911c102af40d Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Sun, 23 Oct 2022 21:25:25 +0900
Subject: [PATCH 118/321] cleanup ja translation

---
 localizations/ja_JP.json | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 741875c3..7bb9db30 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -81,17 +81,14 @@
     "Slerp angle": "Slerp angle",
     "Is negative text": "Is negative text",
     "Script": "スクリプト",
-    "nai2SD Prompt Converter": "nai2SD Prompt Converter",
     "Prompt matrix": "Prompt matrix",
     "Prompts from file or textbox": "Prompts from file or textbox",
     "Save steps of the sampling process to files": "Save steps of the sampling process to files",
     "X/Y plot": "X/Y plot",
-    "Prompts": "プロンプト",
-    "convert": "convert",
-    "Converted Prompts": "Converted Prompts",
     "Put variable parts at start of prompt": "Put variable parts at start of prompt",
     "Show Textbox": "Show Textbox",
     "File with inputs": "File with inputs",
+    "Prompts": "プロンプト",
     "Save images to path": "Save images to path",
     "X type": "X軸の種類",
     "Nothing": "なし",

From edc0c907fa257f70d63dfdbb755e674cea08f4a7 Mon Sep 17 00:00:00 2001
From: Kris57 <49682577+yuuki76@users.noreply.github.com>
Date: Sun, 23 Oct 2022 22:10:13 +0900
Subject: [PATCH 119/321] fix ja translation

---
 localizations/ja_JP.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index 7bb9db30..a6cc2477 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -437,7 +437,7 @@
     "How many image to create in a single batch": "1回のバッチ処理で何枚の画像を生成するか",
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 生成する画像がどの程度プロンプトに沿ったものになるか。 - 低い値の方がよりクリエイティブな結果を生み出します。",
     "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "乱数発生器の出力を決定する値。同じパラメータとシードで画像を作成すれば、同じ結果が得られます。",
-    "Set seed to -1, which will cause a new random number to be used every time": "シード値を -1 に設定するとランダムに生成します。",
+    "Set seed to -1, which will cause a new random number to be used every time": "シード値を-1に設定。つまり、毎回ランダムに生成します。",
     "Reuse seed from last generation, mostly useful if it was randomed": "前回生成時のシード値を読み出す。(ランダム生成時に便利)",
     "Seed of a different picture to be mixed into the generation.": "生成時に混合されることになる画像のシード値",
     "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Variationの強度。0の場合、何の効果もありません。1では、バリエーションシードで完全な画像を得ることができます（Ancestalなアルゴリズム以外では、何か(?)を得るだけです）。",

From 734986dde3231416813f827242c111da212b2ccb Mon Sep 17 00:00:00 2001
From: Trung Ngo <codem01@gmail.com>
Date: Mon, 24 Oct 2022 01:17:09 -0500
Subject: [PATCH 120/321] add callback after image is saved

---
 modules/images.py           |  3 ++-
 modules/script_callbacks.py | 12 +++++++++++-
 2 files changed, 13 insertions(+), 2 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index b9589563..01c60f89 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -12,7 +12,7 @@ from PIL import Image, ImageFont, ImageDraw, PngImagePlugin
 from fonts.ttf import Roboto
 import string
 
-from modules import sd_samplers, shared
+from modules import sd_samplers, shared, script_callbacks
 from modules.shared import opts, cmd_opts
 
 LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
@@ -467,6 +467,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     else:
         txt_fullfn = None
 
+    script_callbacks.image_saved_callback(image, p, fullfn, txt_fullfn)
     return fullfn, txt_fullfn
 
 
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 5bcccd67..5836e4b9 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -2,11 +2,12 @@
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
-
+callbacks_image_saved = []
 
 def clear_callbacks():
     callbacks_model_loaded.clear()
     callbacks_ui_tabs.clear()
+    callbacks_image_saved.clear()
 
 
 def model_loaded_callback(sd_model):
@@ -28,6 +29,10 @@ def ui_settings_callback():
         callback()
 
 
+def image_saved_callback(image, p, fullfn, txt_fullfn):
+    for callback in callbacks_image_saved:
+        callback(image, p, fullfn, txt_fullfn)
+
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
     passed as an argument"""
@@ -51,3 +56,8 @@ def on_ui_settings(callback):
     """register a function to be called before UI settings are populated; add your settings
     by using shared.opts.add_option(shared.OptionInfo(...)) """
     callbacks_ui_settings.append(callback)
+
+
+def on_save_imaged(callback):
+    """register a function to call after modules.images.save_image is called returning same values, original image and p """
+    callbacks_image_saved.append(callback)

From 876a96f0f9843382ebc8984db3de5d8af0e9ce4c Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 09:39:46 +0300
Subject: [PATCH 121/321] remove erroneous dir in the extension directory
 remove loading .js files from scripts dir (they go into javascript) load
 scripts after models, for scripts that depend on loaded models

---
 extensions/stable-diffusion-webui-inspiration |  1 -
 modules/ui.py                                 |  2 +-
 webui.py                                      | 11 ++++++-----
 3 files changed, 7 insertions(+), 7 deletions(-)
 delete mode 160000 extensions/stable-diffusion-webui-inspiration

diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
deleted file mode 160000
index a0b96664..00000000
--- a/extensions/stable-diffusion-webui-inspiration
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit a0b96664d2524b87916ae463fbb65411b13a569b
diff --git a/modules/ui.py b/modules/ui.py
index a73b9ff0..03528968 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1885,7 +1885,7 @@ def load_javascript(raw_response):
         javascript = f'<script>{jsfile.read()}</script>'
 
     scripts_list = modules.scripts.list_scripts("javascript", ".js")
-    scripts_list += modules.scripts.list_scripts("scripts", ".js")
+    
     for basedir, filename, path in scripts_list:
         with open(path, "r", encoding="utf8") as jsfile:
             javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"
diff --git a/webui.py b/webui.py
index a0f3757f..ade7334b 100644
--- a/webui.py
+++ b/webui.py
@@ -9,7 +9,7 @@ from fastapi.middleware.gzip import GZipMiddleware
 
 from modules.paths import script_path
 
-from modules import devices, sd_samplers
+from modules import devices, sd_samplers, upscaler
 import modules.codeformer_model as codeformer
 import modules.extras
 import modules.face_restoration
@@ -73,12 +73,11 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
 
 
 def initialize():
-    modules.scripts.load_scripts()
     if cmd_opts.ui_debug_mode:
-        class enmpty():
-            name = None
-        shared.sd_upscalers = [enmpty()]
+        shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
+        modules.scripts.load_scripts()
         return
+
     modelloader.cleanup_models()
     modules.sd_models.setup_model()
     codeformer.setup_model(cmd_opts.codeformer_models_path)
@@ -86,6 +85,8 @@ def initialize():
     shared.face_restorers.append(modules.face_restoration.FaceRestoration())
     modelloader.load_upscalers()
 
+    modules.scripts.load_scripts()
+
     modules.sd_models.load_model()
     shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model)))
     shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork)))

From c623fa1f0b9a3936a29f1d1bd65f4e0fadf1c9c4 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 09:51:17 +0300
Subject: [PATCH 122/321] add extensions dir

---
 extensions/put extensions here.txt | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 extensions/put extensions here.txt

diff --git a/extensions/put extensions here.txt b/extensions/put extensions here.txt
new file mode 100644
index 00000000..e69de29b

From 3be6b29d81408d2adb741bff5b11c80214aa621e Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Mon, 24 Oct 2022 15:14:34 +0900
Subject: [PATCH 123/321] indent=4 config.json

---
 modules/shared.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/shared.py b/modules/shared.py
index 6541e679..d6ddfe59 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -348,7 +348,7 @@ class Options:
 
     def save(self, filename):
         with open(filename, "w", encoding="utf8") as file:
-            json.dump(self.data, file)
+            json.dump(self.data, file, indent=4)
 
     def same_type(self, x, y):
         if x is None or y is None:

From c5d90628a4058bf49c2fdabf620a24db73407f31 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 22 Oct 2022 17:16:55 +0900
Subject: [PATCH 124/321] move "file_decoration" initialize section

into "if forced_filename is None:"
no need to initialize it if it's not going to be used
---
 modules/images.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index b9589563..50a59cff 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -386,18 +386,6 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         txt_fullfn (`str` or None):
             If a text file is saved for this image, this will be its full path. Otherwise None.
     '''
-    if short_filename or prompt is None or seed is None:
-        file_decoration = ""
-    elif opts.save_to_dirs:
-        file_decoration = opts.samples_filename_pattern or "[seed]"
-    else:
-        file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
-
-    if file_decoration != "":
-        file_decoration = "-" + file_decoration.lower()
-
-    file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
-
     if extension == 'png' and opts.enable_pnginfo and info is not None:
         pnginfo = PngImagePlugin.PngInfo()
 
@@ -419,6 +407,18 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     os.makedirs(path, exist_ok=True)
 
     if forced_filename is None:
+        if short_filename or prompt is None or seed is None:
+            file_decoration = ""
+        elif opts.save_to_dirs:
+            file_decoration = opts.samples_filename_pattern or "[seed]"
+        else:
+            file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
+
+        if file_decoration != "":
+            file_decoration = "-" + file_decoration.lower()
+
+        file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
+
         basecount = get_next_sequence_number(path, basename)
         fullfn = "a.png"
         fullfn_without_extension = "a"

From 7d4a4db9ea7543c079f4a4a702c2945f4b66cd11 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 22 Oct 2022 17:48:59 +0900
Subject: [PATCH 125/321] modify unnecessary sting assignment as it's going to
 get overwritten

---
 modules/images.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 50a59cff..cc5066b1 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -420,8 +420,8 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
 
         basecount = get_next_sequence_number(path, basename)
-        fullfn = "a.png"
-        fullfn_without_extension = "a"
+        fullfn = None
+        fullfn_without_extension = None
         for i in range(500):
             fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
             fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")

From 37dd6deafb831a809eaf7ae8d232937a8c7998e7 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 22 Oct 2022 21:11:15 +0900
Subject: [PATCH 126/321] filename pattern [datetime], extended customizable
 Format and Time Zone

format:
[datetime]
[datetime<Format>]
[datetime<Format><Time Zone>]
---
 modules/images.py | 54 ++++++++++++++++++++++++++++++++++++++++++++++-
 1 file changed, 53 insertions(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index cc5066b1..fb0b373d 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -1,4 +1,5 @@
 import datetime
+import pytz
 import io
 import math
 import os
@@ -302,7 +303,7 @@ def apply_filename_pattern(x, p, seed, prompt):
 
     x = x.replace("[model_hash]", getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash))
     x = x.replace("[date]", datetime.date.today().isoformat())
-    x = x.replace("[datetime]", datetime.datetime.now().strftime("%Y%m%d%H%M%S"))
+    x = replace_datetime(x)
     x = x.replace("[job_timestamp]", getattr(p, "job_timestamp", shared.state.job_timestamp))
 
     # Apply [prompt] at last. Because it may contain any replacement word.^M
@@ -353,6 +354,57 @@ def get_next_sequence_number(path, basename):
     return result + 1
 
 
+def replace_datetime(input_str: str):
+    """
+    Formats sub_string of input_str with formatted datetime with time zone support.
+    accepts sub_string format: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
+    case insensitive
+
+    e.g.
+    input: "___[Datetime<%Y_%m_%d %H-%M-%S><Asia/Tokyo>]___"
+    return: "___2022_10_22 20-40-14___"
+
+    handles invalid Formats and Time Zones
+
+    time format reference:
+    https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes
+
+    valid time zones
+    print(pytz.all_timezones)
+    https://pytz.sourceforge.net/
+    """
+    default_time_format = '%Y%m%d%H%M%S'
+    time_now = datetime.datetime.now()
+
+    # match all datetime to be replace
+    match_itr = re.finditer(r'\[datetime(?:<([^>]*)>(?:<([^>]*)>)?)?]', input_str, re.IGNORECASE)
+    for match in reversed(list(match_itr)):
+        # extract format
+        time_format = match.group(1)
+        if time_format == '':
+            # if time_format is blank use default YYYYMMDDHHMMSS
+            time_format = default_time_format
+
+        # extract timezone
+        try:
+            time_zone = pytz.timezone(match.group(2))
+        except pytz.exceptions.UnknownTimeZoneError as _:
+            # if no time_zone or invalid, use system time
+            time_zone = None
+
+        # generate time string
+        time_zone_time = time_now.astimezone(time_zone)
+        try:
+            formatted_time = time_zone_time.strftime(time_format)
+
+        except (ValueError, TypeError) as _:
+            # if format error then use default_time_format
+            formatted_time = time_zone_time.strftime(default_time_format)
+
+        input_str = input_str[:match.start()] + formatted_time + input_str[match.end():]
+    return input_str
+
+
 def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix="", save_to_dirs=None):
     '''Save an image.
 

From 480d8e764611d7779bf8e0245640a6b84af626f9 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 22 Oct 2022 22:26:57 +0900
Subject: [PATCH 127/321] replace "srt.replace()" in apply_filename_pattern()
 with equivalent re.sub()

the file_decoration passed into apply_filename_pattern() is formatted to lowercase to increase compatibility
the use of case sensitive srt.replace()

but because the newly implemented "time format" is case sensitive
the lowercasing the file_decoration will cause time format to be broken

in order to resolve this issue
I decided to replace every srt.replace() and in if "str" in x to regular expression (case insensitive) equivalent
---
 modules/images.py | 33 ++++++++++++++++-----------------
 1 file changed, 16 insertions(+), 17 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index fb0b373d..55d8ab5e 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -291,25 +291,24 @@ def apply_filename_pattern(x, p, seed, prompt):
     max_prompt_words = opts.directories_max_prompt_words
 
     if seed is not None:
-        x = x.replace("[seed]", str(seed))
+        x = re.sub(r'\[seed]', str(seed), x, flags=re.IGNORECASE)
 
     if p is not None:
-        x = x.replace("[steps]", str(p.steps))
-        x = x.replace("[cfg]", str(p.cfg_scale))
-        x = x.replace("[width]", str(p.width))
-        x = x.replace("[height]", str(p.height))
-        x = x.replace("[styles]", sanitize_filename_part(", ".join([x for x in p.styles if not x == "None"]) or "None", replace_spaces=False))
-        x = x.replace("[sampler]", sanitize_filename_part(sd_samplers.samplers[p.sampler_index].name, replace_spaces=False))
+        x = re.sub(r'\[steps]', str(p.steps), x, flags=re.IGNORECASE)
+        x = re.sub(r'\[cfg]', str(p.cfg_scale), x, flags=re.IGNORECASE)
+        x = re.sub(r'\[width]', str(p.width), x, flags=re.IGNORECASE)
+        x = re.sub(r'\[height]', str(p.height), x, flags=re.IGNORECASE)
+        x = re.sub(r'\[styles]', sanitize_filename_part(", ".join([x for x in p.styles if not x == "None"]) or "None", replace_spaces=False), x, flags=re.IGNORECASE)
+        x = re.sub(r'\[sampler]', sanitize_filename_part(sd_samplers.samplers[p.sampler_index].name, replace_spaces=False), x, flags=re.IGNORECASE)
 
-    x = x.replace("[model_hash]", getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash))
-    x = x.replace("[date]", datetime.date.today().isoformat())
+    x = re.sub(r'\[model_hash]', getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash), x, flags=re.IGNORECASE)
+    x = re.sub(r'\[date]', datetime.date.today().isoformat(), x, flags=re.IGNORECASE)
     x = replace_datetime(x)
-    x = x.replace("[job_timestamp]", getattr(p, "job_timestamp", shared.state.job_timestamp))
-
+    x = re.sub(r'\[job_timestamp]', getattr(p, "job_timestamp", shared.state.job_timestamp), x, flags=re.IGNORECASE)
     # Apply [prompt] at last. Because it may contain any replacement word.^M
     if prompt is not None:
-        x = x.replace("[prompt]", sanitize_filename_part(prompt))
-        if "[prompt_no_styles]" in x:
+        x = re.sub(r'\[prompt]', sanitize_filename_part(prompt), x, flags=re.IGNORECASE)
+        if re.search(r'\[prompt_no_styles]', x, re.IGNORECASE):
             prompt_no_style = prompt
             for style in shared.prompt_styles.get_style_prompts(p.styles):
                 if len(style) > 0:
@@ -317,14 +316,14 @@ def apply_filename_pattern(x, p, seed, prompt):
                     for part in style_parts:
                         prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')
             prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()
-            x = x.replace("[prompt_no_styles]", sanitize_filename_part(prompt_no_style, replace_spaces=False))
+            x = re.sub(r'\[prompt_no_styles]', sanitize_filename_part(prompt_no_style, replace_spaces=False), x, flags=re.IGNORECASE)
 
-        x = x.replace("[prompt_spaces]", sanitize_filename_part(prompt, replace_spaces=False))
-        if "[prompt_words]" in x:
+        x = re.sub(r'\[prompt_spaces]', sanitize_filename_part(prompt, replace_spaces=False), x, flags=re.IGNORECASE)
+        if re.search(r'\[prompt_words]', x, re.IGNORECASE):
             words = [x for x in re_nonletters.split(prompt or "") if len(x) > 0]
             if len(words) == 0:
                 words = ["empty"]
-            x = x.replace("[prompt_words]", sanitize_filename_part(" ".join(words[0:max_prompt_words]), replace_spaces=False))
+            x = re.sub(r'\[prompt_words]', sanitize_filename_part(" ".join(words[0:max_prompt_words]), replace_spaces=False), x, flags=re.IGNORECASE)
 
     if cmd_opts.hide_ui_dir_config:
         x = re.sub(r'^[\\/]+|\.{2,}[\\/]+|[\\/]+\.{2,}', '', x)

From 00952fb4a8b86b75402cc8276e00f3daadf1f459 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 22 Oct 2022 22:31:02 +0900
Subject: [PATCH 128/321] add sanitize_filename() to datetime

---
 modules/images.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/images.py b/modules/images.py
index 55d8ab5e..898b065b 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -400,6 +400,7 @@ def replace_datetime(input_str: str):
             # if format error then use default_time_format
             formatted_time = time_zone_time.strftime(default_time_format)
 
+        formatted_time = sanitize_filename_part(formatted_time, replace_spaces=False)
         input_str = input_str[:match.start()] + formatted_time + input_str[match.end():]
     return input_str
 

From 8f6af4ed651cdb4456e2f3474d05dd3a18086ac2 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sat, 22 Oct 2022 22:32:26 +0900
Subject: [PATCH 129/321] remove lowercasing file_decoration as it is not
 needed anymore

---
 modules/images.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index 898b065b..321439e3 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -467,7 +467,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
             file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
 
         if file_decoration != "":
-            file_decoration = "-" + file_decoration.lower()
+            file_decoration = "-" + file_decoration
 
         file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
 

From 5a981310e68253c77f9fe3144d247cfd531f9e48 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 23 Oct 2022 18:09:21 +0900
Subject: [PATCH 130/321] replace_datetime() can now accept a datetime
 parameter

---
 modules/images.py | 16 +++++++++++-----
 1 file changed, 11 insertions(+), 5 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 321439e3..ff00fc52 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -303,7 +303,7 @@ def apply_filename_pattern(x, p, seed, prompt):
 
     x = re.sub(r'\[model_hash]', getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash), x, flags=re.IGNORECASE)
     x = re.sub(r'\[date]', datetime.date.today().isoformat(), x, flags=re.IGNORECASE)
-    x = replace_datetime(x)
+    x = replace_datetime(x, datetime.datetime.now())
     x = re.sub(r'\[job_timestamp]', getattr(p, "job_timestamp", shared.state.job_timestamp), x, flags=re.IGNORECASE)
     # Apply [prompt] at last. Because it may contain any replacement word.^M
     if prompt is not None:
@@ -353,8 +353,14 @@ def get_next_sequence_number(path, basename):
     return result + 1
 
 
-def replace_datetime(input_str: str):
+def replace_datetime(input_str: str, time_datetime: datetime.datetime = None):
     """
+    Args:
+        input_str (`str`):
+            the String to be Formatted
+        time_datetime (`datetime.datetime`)
+            the time to be used, if None, use datetime.datetime.now()
+
     Formats sub_string of input_str with formatted datetime with time zone support.
     accepts sub_string format: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
     case insensitive
@@ -373,8 +379,8 @@ def replace_datetime(input_str: str):
     https://pytz.sourceforge.net/
     """
     default_time_format = '%Y%m%d%H%M%S'
-    time_now = datetime.datetime.now()
-
+    if time_datetime is None:
+        time_datetime = datetime.datetime.now()
     # match all datetime to be replace
     match_itr = re.finditer(r'\[datetime(?:<([^>]*)>(?:<([^>]*)>)?)?]', input_str, re.IGNORECASE)
     for match in reversed(list(match_itr)):
@@ -392,7 +398,7 @@ def replace_datetime(input_str: str):
             time_zone = None
 
         # generate time string
-        time_zone_time = time_now.astimezone(time_zone)
+        time_zone_time = time_datetime.astimezone(time_zone)
         try:
             formatted_time = time_zone_time.strftime(time_format)
 

From eb007e5884c23fbc38d7e9d1dd3669625270ca27 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Sun, 23 Oct 2022 18:17:39 +0900
Subject: [PATCH 131/321] use the same datetime object for [date] and
 [datetime]

---
 modules/images.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index ff00fc52..a9b1330d 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -302,8 +302,9 @@ def apply_filename_pattern(x, p, seed, prompt):
         x = re.sub(r'\[sampler]', sanitize_filename_part(sd_samplers.samplers[p.sampler_index].name, replace_spaces=False), x, flags=re.IGNORECASE)
 
     x = re.sub(r'\[model_hash]', getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash), x, flags=re.IGNORECASE)
-    x = re.sub(r'\[date]', datetime.date.today().isoformat(), x, flags=re.IGNORECASE)
-    x = replace_datetime(x, datetime.datetime.now())
+    current_time = datetime.datetime.now()
+    x = re.sub(r'\[date]', current_time.strftime('%Y-%m-%d'), x, flags=re.IGNORECASE)
+    x = replace_datetime(x, current_time)  # replace [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
     x = re.sub(r'\[job_timestamp]', getattr(p, "job_timestamp", shared.state.job_timestamp), x, flags=re.IGNORECASE)
     # Apply [prompt] at last. Because it may contain any replacement word.^M
     if prompt is not None:

From 994aaadf0861366b9e6f219e1a3c25a233fbb63c Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Mon, 24 Oct 2022 16:44:36 +0800
Subject: [PATCH 132/321] a strange bug

---
 extensions/stable-diffusion-webui-inspiration | 2 +-
 modules/ui.py                                 | 4 ++++
 2 files changed, 5 insertions(+), 1 deletion(-)

diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
index a0b96664..c50c03ac 160000
--- a/extensions/stable-diffusion-webui-inspiration
+++ b/extensions/stable-diffusion-webui-inspiration
@@ -1 +1 @@
-Subproject commit a0b96664d2524b87916ae463fbb65411b13a569b
+Subproject commit c50c03ac8fd2f6317d17d0c8c7c1ce26e6fe5cd7
diff --git a/modules/ui.py b/modules/ui.py
index a73b9ff0..8c6dc026 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -55,6 +55,7 @@ mimetypes.init()
 mimetypes.add_type('application/javascript', '.js')
 txt2img_paste_fields = []
 img2img_paste_fields = []
+init_img_components = {}
 
 
 if not cmd_opts.share and not cmd_opts.listen:
@@ -1174,6 +1175,9 @@ def create_ui(wrap_gradio_gpu_call):
             outputs=[init_img_with_mask],
         )
 
+    global  init_img_components
+    init_img_components = {"img2img":init_img, "inpaint":init_img_with_mask, "extras":extras_image}
+
     with gr.Blocks(analytics_enabled=False) as pnginfo_interface:
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):

From 8da1bd48bf9d0411cd9ba87b8d9220743cb5807e Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 14:03:58 +0300
Subject: [PATCH 133/321] add an option to skip adding number to filenames when
 saving. rework filename pattern function go through the pattern once and not
 calculate any of replacements until they are actually encountered in the
 pattern.

---
 modules/images.py | 236 ++++++++++++++++++++++++----------------------
 modules/shared.py |   8 +-
 2 files changed, 128 insertions(+), 116 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index a9b1330d..848ede75 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -1,4 +1,7 @@
 import datetime
+import sys
+import traceback
+
 import pytz
 import io
 import math
@@ -274,10 +277,15 @@ invalid_filename_chars = '<>:"/\\|?*\n'
 invalid_filename_prefix = ' '
 invalid_filename_postfix = ' .'
 re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
+re_pattern = re.compile(r"([^\[\]]+|\[([^]]+)]|[\[\]]*)")
+re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
 max_filename_part_length = 128
 
 
 def sanitize_filename_part(text, replace_spaces=True):
+    if text is None:
+        return None
+
     if replace_spaces:
         text = text.replace(' ', '_')
 
@@ -287,49 +295,103 @@ def sanitize_filename_part(text, replace_spaces=True):
     return text
 
 
-def apply_filename_pattern(x, p, seed, prompt):
-    max_prompt_words = opts.directories_max_prompt_words
+class FilenameGenerator:
+    replacements = {
+        'seed': lambda self: self.seed if self.seed is not None else '',
+        'steps': lambda self:  self.p and self.p.steps,
+        'cfg': lambda self: self.p and self.p.cfg_scale,
+        'width': lambda self: self.p and self.p.width,
+        'height': lambda self: self.p and self.p.height,
+        'styles': lambda self: self.p and sanitize_filename_part(", ".join([style for style in self.p.styles if not style == "None"]) or "None", replace_spaces=False),
+        'sampler': lambda self: self.p and sanitize_filename_part(sd_samplers.samplers[self.p.sampler_index].name, replace_spaces=False),
+        'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
+        'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
+        'datetime': lambda self, *args: self.datetime(*args),  # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
+        'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
+        'prompt': lambda self: sanitize_filename_part(self.prompt),
+        'prompt_no_styles': lambda self: self.prompt_no_style(),
+        'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
+        'prompt_words': lambda self: self.prompt_words(),
+    }
+    default_time_format = '%Y%m%d%H%M%S'
 
-    if seed is not None:
-        x = re.sub(r'\[seed]', str(seed), x, flags=re.IGNORECASE)
+    def __init__(self, p, seed, prompt):
+        self.p = p
+        self.seed = seed
+        self.prompt = prompt
 
-    if p is not None:
-        x = re.sub(r'\[steps]', str(p.steps), x, flags=re.IGNORECASE)
-        x = re.sub(r'\[cfg]', str(p.cfg_scale), x, flags=re.IGNORECASE)
-        x = re.sub(r'\[width]', str(p.width), x, flags=re.IGNORECASE)
-        x = re.sub(r'\[height]', str(p.height), x, flags=re.IGNORECASE)
-        x = re.sub(r'\[styles]', sanitize_filename_part(", ".join([x for x in p.styles if not x == "None"]) or "None", replace_spaces=False), x, flags=re.IGNORECASE)
-        x = re.sub(r'\[sampler]', sanitize_filename_part(sd_samplers.samplers[p.sampler_index].name, replace_spaces=False), x, flags=re.IGNORECASE)
+    def prompt_no_style(self):
+        if self.p is None or self.prompt is None:
+            return None
 
-    x = re.sub(r'\[model_hash]', getattr(p, "sd_model_hash", shared.sd_model.sd_model_hash), x, flags=re.IGNORECASE)
-    current_time = datetime.datetime.now()
-    x = re.sub(r'\[date]', current_time.strftime('%Y-%m-%d'), x, flags=re.IGNORECASE)
-    x = replace_datetime(x, current_time)  # replace [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
-    x = re.sub(r'\[job_timestamp]', getattr(p, "job_timestamp", shared.state.job_timestamp), x, flags=re.IGNORECASE)
-    # Apply [prompt] at last. Because it may contain any replacement word.^M
-    if prompt is not None:
-        x = re.sub(r'\[prompt]', sanitize_filename_part(prompt), x, flags=re.IGNORECASE)
-        if re.search(r'\[prompt_no_styles]', x, re.IGNORECASE):
-            prompt_no_style = prompt
-            for style in shared.prompt_styles.get_style_prompts(p.styles):
-                if len(style) > 0:
-                    style_parts = [y for y in style.split("{prompt}")]
-                    for part in style_parts:
-                        prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')
-            prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()
-            x = re.sub(r'\[prompt_no_styles]', sanitize_filename_part(prompt_no_style, replace_spaces=False), x, flags=re.IGNORECASE)
+        prompt_no_style = self.prompt
+        for style in shared.prompt_styles.get_style_prompts(self.p.styles):
+            if len(style) > 0:
+                for part in style.split("{prompt}"):
+                    prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')
 
-        x = re.sub(r'\[prompt_spaces]', sanitize_filename_part(prompt, replace_spaces=False), x, flags=re.IGNORECASE)
-        if re.search(r'\[prompt_words]', x, re.IGNORECASE):
-            words = [x for x in re_nonletters.split(prompt or "") if len(x) > 0]
-            if len(words) == 0:
-                words = ["empty"]
-            x = re.sub(r'\[prompt_words]', sanitize_filename_part(" ".join(words[0:max_prompt_words]), replace_spaces=False), x, flags=re.IGNORECASE)
+                prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()
 
-    if cmd_opts.hide_ui_dir_config:
-        x = re.sub(r'^[\\/]+|\.{2,}[\\/]+|[\\/]+\.{2,}', '', x)
+        return sanitize_filename_part(prompt_no_style, replace_spaces=False)
 
-    return x
+    def prompt_words(self):
+        words = [x for x in re_nonletters.split(self.prompt or "") if len(x) > 0]
+        if len(words) == 0:
+            words = ["empty"]
+        return sanitize_filename_part(" ".join(words[0:opts.directories_max_prompt_words]), replace_spaces=False)
+
+    def datetime(self, *args):
+        time_datetime = datetime.datetime.now()
+
+        time_format = args[0] if len(args) > 0 else self.default_time_format
+        time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
+
+        time_zone_time = time_datetime.astimezone(time_zone)
+        try:
+            formatted_time = time_zone_time.strftime(time_format)
+        except (ValueError, TypeError) as _:
+            formatted_time = time_zone_time.strftime(self.default_time_format)
+
+        return sanitize_filename_part(formatted_time, replace_spaces=False)
+
+    def apply(self, x):
+        res = ''
+
+        for m in re_pattern.finditer(x):
+            text, pattern = m.groups()
+
+            if pattern is None:
+                res += text
+                continue
+
+            pattern_args = []
+            while True:
+                m = re_pattern_arg.match(pattern)
+                if m is None:
+                    break
+
+                pattern, arg = m.groups()
+                pattern_args.insert(0, arg)
+
+            fun = self.replacements.get(pattern.lower())
+            if fun is not None:
+                try:
+                    replacement = fun(self, *pattern_args)
+                except Exception:
+                    replacement = None
+                    print(f"Error adding [{pattern}] to filename", file=sys.stderr)
+                    print(traceback.format_exc(), file=sys.stderr)
+
+                if replacement is None:
+                    res += f'[{pattern}]'
+                else:
+                    res += str(replacement)
+
+                continue
+
+            res += f'[{pattern}]'
+
+        return res
 
 
 def get_next_sequence_number(path, basename):
@@ -354,66 +416,8 @@ def get_next_sequence_number(path, basename):
     return result + 1
 
 
-def replace_datetime(input_str: str, time_datetime: datetime.datetime = None):
-    """
-    Args:
-        input_str (`str`):
-            the String to be Formatted
-        time_datetime (`datetime.datetime`)
-            the time to be used, if None, use datetime.datetime.now()
-
-    Formats sub_string of input_str with formatted datetime with time zone support.
-    accepts sub_string format: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
-    case insensitive
-
-    e.g.
-    input: "___[Datetime<%Y_%m_%d %H-%M-%S><Asia/Tokyo>]___"
-    return: "___2022_10_22 20-40-14___"
-
-    handles invalid Formats and Time Zones
-
-    time format reference:
-    https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes
-
-    valid time zones
-    print(pytz.all_timezones)
-    https://pytz.sourceforge.net/
-    """
-    default_time_format = '%Y%m%d%H%M%S'
-    if time_datetime is None:
-        time_datetime = datetime.datetime.now()
-    # match all datetime to be replace
-    match_itr = re.finditer(r'\[datetime(?:<([^>]*)>(?:<([^>]*)>)?)?]', input_str, re.IGNORECASE)
-    for match in reversed(list(match_itr)):
-        # extract format
-        time_format = match.group(1)
-        if time_format == '':
-            # if time_format is blank use default YYYYMMDDHHMMSS
-            time_format = default_time_format
-
-        # extract timezone
-        try:
-            time_zone = pytz.timezone(match.group(2))
-        except pytz.exceptions.UnknownTimeZoneError as _:
-            # if no time_zone or invalid, use system time
-            time_zone = None
-
-        # generate time string
-        time_zone_time = time_datetime.astimezone(time_zone)
-        try:
-            formatted_time = time_zone_time.strftime(time_format)
-
-        except (ValueError, TypeError) as _:
-            # if format error then use default_time_format
-            formatted_time = time_zone_time.strftime(default_time_format)
-
-        formatted_time = sanitize_filename_part(formatted_time, replace_spaces=False)
-        input_str = input_str[:match.start()] + formatted_time + input_str[match.end():]
-    return input_str
-
-
 def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix="", save_to_dirs=None):
-    '''Save an image.
+    """Save an image.
 
     Args:
         image (`PIL.Image`):
@@ -444,7 +448,9 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
             The full path of the saved imaged.
         txt_fullfn (`str` or None):
             If a text file is saved for this image, this will be its full path. Otherwise None.
-    '''
+    """
+    namegen = FilenameGenerator(p, seed, prompt)
+
     if extension == 'png' and opts.enable_pnginfo and info is not None:
         pnginfo = PngImagePlugin.PngInfo()
 
@@ -460,33 +466,37 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)
 
     if save_to_dirs:
-        dirname = apply_filename_pattern(opts.directories_filename_pattern or "[prompt_words]", p, seed, prompt).strip('\\ /')
+        dirname = namegen.apply(opts.directories_filename_pattern or "[prompt_words]").lstrip(' ').rstrip('\\ /')
         path = os.path.join(path, dirname)
 
     os.makedirs(path, exist_ok=True)
 
     if forced_filename is None:
-        if short_filename or prompt is None or seed is None:
+        if short_filename or seed is None:
             file_decoration = ""
-        elif opts.save_to_dirs:
-            file_decoration = opts.samples_filename_pattern or "[seed]"
         else:
-            file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
+            file_decoration = opts.samples_filename_pattern or "[seed]"
 
-        if file_decoration != "":
+        add_number = opts.save_images_add_number or file_decoration == ''
+
+        if file_decoration != "" and add_number:
             file_decoration = "-" + file_decoration
 
-        file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
+        file_decoration = namegen.apply(file_decoration) + suffix
 
-        basecount = get_next_sequence_number(path, basename)
-        fullfn = None
-        fullfn_without_extension = None
-        for i in range(500):
-            fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
-            fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
-            fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
-            if not os.path.exists(fullfn):
-                break
+        if add_number:
+            basecount = get_next_sequence_number(path, basename)
+            fullfn = None
+            fullfn_without_extension = None
+            for i in range(500):
+                fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
+                fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
+                fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
+                if not os.path.exists(fullfn):
+                    break
+        else:
+            fullfn = os.path.join(path, f"{file_decoration}.{extension}")
+            fullfn_without_extension = os.path.join(path, file_decoration)
     else:
         fullfn = os.path.join(path, f"{forced_filename}.{extension}")
         fullfn_without_extension = os.path.join(path, forced_filename)
diff --git a/modules/shared.py b/modules/shared.py
index d6ddfe59..76cbb1bd 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -86,6 +86,7 @@ parser.add_argument("--device-id", type=str, help="Select the default CUDA devic
 cmd_opts = parser.parse_args()
 restricted_opts = [
     "samples_filename_pattern",
+    "directories_filename_pattern",
     "outdir_samples",
     "outdir_txt2img_samples",
     "outdir_img2img_samples",
@@ -190,7 +191,8 @@ options_templates = {}
 options_templates.update(options_section(('saving-images', "Saving images/grids"), {
     "samples_save": OptionInfo(True, "Always save all generated images"),
     "samples_format": OptionInfo('png', 'File format for images'),
-    "samples_filename_pattern": OptionInfo("", "Images filename pattern"),
+    "samples_filename_pattern": OptionInfo("", "Images filename pattern", component_args=hide_dirs),
+    "save_images_add_number": OptionInfo(True, "Add number to filename when saving", component_args=hide_dirs),
 
     "grid_save": OptionInfo(True, "Always save all generated image grids"),
     "grid_format": OptionInfo('png', 'File format for grids'),
@@ -225,8 +227,8 @@ options_templates.update(options_section(('saving-to-dirs', "Saving to a directo
     "save_to_dirs": OptionInfo(False, "Save images to a subdirectory"),
     "grid_save_to_dirs": OptionInfo(False, "Save grids to a subdirectory"),
     "use_save_to_dirs_for_ui": OptionInfo(False, "When using \"Save\" button, save images to a subdirectory"),
-    "directories_filename_pattern": OptionInfo("", "Directory name pattern"),
-    "directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1}),
+    "directories_filename_pattern": OptionInfo("", "Directory name pattern", component_args=hide_dirs),
+    "directories_max_prompt_words": OptionInfo(8, "Max prompt words for [prompt_words] pattern", gr.Slider, {"minimum": 1, "maximum": 20, "step": 1, **hide_dirs}),
 }))
 
 options_templates.update(options_section(('upscaling', "Upscaling"), {

From 2c05e06ea770b013de55636f15aae0b8e60e0590 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 14:11:14 +0300
Subject: [PATCH 134/321] rename api/processing to api/models for #3511

---
 modules/api/api.py                       | 2 +-
 modules/api/{processing.py => models.py} | 0
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename modules/api/{processing.py => models.py} (100%)

diff --git a/modules/api/api.py b/modules/api/api.py
index 3caa83a4..a860a964 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,4 +1,4 @@
-from modules.api.processing import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
+from modules.api.models import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
 from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.sd_samplers import all_samplers
 from modules.extras import run_pnginfo
diff --git a/modules/api/processing.py b/modules/api/models.py
similarity index 100%
rename from modules/api/processing.py
rename to modules/api/models.py

From 5587ab7ea8c78ef186592325ffc22bdfc1677bbc Mon Sep 17 00:00:00 2001
From: blackneoo <blackneoo@gmail.com>
Date: Mon, 24 Oct 2022 14:16:13 +0400
Subject: [PATCH 135/321] Add Arabic localization

Arabic translation for the UI interface, however arabic language is a right to left language, so for proper display (especially when text contain both Arabic and English text) it is required to add dir="rtl" in the style, i suggest adding a checkbox in setting to trigger this for right to left languages
---
 localizations/ar_AR.json | 691 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 691 insertions(+)
 create mode 100644 localizations/ar_AR.json

diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
new file mode 100644
index 00000000..6d03e013
--- /dev/null
+++ b/localizations/ar_AR.json
@@ -0,0 +1,691 @@
+{   "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "جار التحميل...",
+    "view": "معاينة",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "مبني باستخدام Gradio",
+    "Stable Diffusion checkpoint": "نماذج الانتشار المستقر",
+    "txt2img": "نص لصورة",
+    "img2img": "صورة لصورة",
+    "Extras": "الإضافات",
+    "PNG Info": "معلومات PNG",
+    "Image Browser": "مستعرض الصور",
+    "Checkpoint Merger": "دمج النماذج",
+    "Train": "التدريب",
+    "Settings": "الإعدادات",
+    "Prompt": "الموجه",
+    "Negative prompt": "الموجه السلبي",
+    "Run": "تشغيل",
+    "Skip": "تخطي",
+    "Interrupt": "إيقاف",
+    "Generate": "إنشاء",
+    "Style 1": "نمط 1",
+    "Style 2": "نمط 2",
+    "Label": "الوسم",
+    "File": "ملف",
+    "Drop File Here": "اسحب الملف هنا",
+    "-": "-",
+    "or": "أو",
+    "Click to Upload": "انقر للتحميل",
+    "Image": "صورة",
+    "Check progress": "تحقق من التقدم",
+    "Check progress (first)": "تحقق من التقدم (الأول)",
+    "Sampling Steps": "خطوات أخذ العينة",
+    "Sampling method": "نظام أخذ العينات",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "العرض",
+    "Height": "الارتفاع",
+    "Restore faces": "ترميم الوجوه",
+    "Tiling": "تبليط",
+    "Highres. fix": "إصلاح الصور عالية الدقة",
+    "Firstpass width": "عرض المرور الأول",
+    "Firstpass height": "ارتفاع المرور الأول",
+    "Denoising strength": "قوة تقليل الضوضاء",
+    "Batch count": "عدد الدُفعات",
+    "Batch size": "حجم الدفعة",
+    "CFG Scale": "مقياس التقارب من الموجه (CFG)",
+    "Seed": "البذرة",
+    "Extra": "إضافي",
+    "Variation seed": "تباين البذرة",
+    "Variation strength": "قوة التباين",
+    "Resize seed from width": "تغيير حجم البذرة من العرض",
+    "Resize seed from height": "تغيير حجم البذرة من الارتفاع",
+    "Script": "سكريبت",
+    "None": "لايوجد",
+    "Prompt matrix": "مصفوفة الموجهات",
+    "Prompts from file or textbox": "موجهات من ملف أو مربع النص",
+    "X/Y plot": "الرسم البياني X/Y",
+    "Put variable parts at start of prompt": "ضع الأجزاء المتغيرة في بداية الموجه",
+    "Show Textbox": "إظهار مربع النص",
+    "File with inputs": "ملف يحتوي المدخلات",
+    "Prompts": "الموجهات",
+    "X type": "نوع X",
+    "Nothing": "لا شئ",
+    "Var. seed": "تغير البذرة",
+    "Var. strength": "قوة التغيير",
+    "Steps": "الخطوات",
+    "Prompt S/R": "موجه S / R",
+    "Prompt order": "ترتيب الموجهات",
+    "Sampler": "نظام أخذ العينات",
+    "Checkpoint name": "اسم النموذج",
+    "Hypernetwork": "الشبكة الفائقة",
+    "Hypernet str.": "قوة الشبكة الفائقة",
+    "Sigma Churn": "دفع سيجما",
+    "Sigma min": "أصغر سيجما",
+    "Sigma max": "أكبر سيجما",
+    "Sigma noise": "ضجة سيجما",
+    "Eta": "الوقت المتوقع",
+    "Clip skip": "تخطي Clip",
+    "Denoising": "تقليل الضوضاء",
+    "X values": "قيم X",
+    "Y type": "نوع Y",
+    "Y values": "قيم Y",
+    "Draw legend": "ارسم مفتاح التوضيح",
+    "Include Separate Images": "قم بتضمين الصور منفصلة",
+    "Keep -1 for seeds": "احتفظ بـقيمة -1 للبذور",
+    "Drop Image Here": "إسقاط الصورة هنا",
+    "Save": "حفظ",
+    "Send to img2img": "أرسل إلى صورة لصورة",
+    "Send to inpaint": "أرسل إلى إعادة الرسم الجزئي",
+    "Send to extras": "أرسل إلى الإضافات",
+    "Make Zip when Save?": "إنشاء ملف مضغوط عند الحفظ؟",
+    "Textbox": "مربع النص",
+    "Interrogate\nCLIP": "استجواب\n CLIP",
+    "Inpaint": "إعادة الرسم الجزئي",
+    "Batch img2img": "دفعات صورة لصورة",
+    "Image for img2img": "صورة (صورة لصورة)",
+    "Image for inpainting with mask": "صورة (إعادة الرسم الجزئي)",
+    "Mask": "القناع",
+    "Mask blur": "ضبابية القناع",
+    "Mask mode": "أسلوب القناع",
+    "Draw mask": "رسم القناع",
+    "Upload mask": "تحميل القناع",
+    "Masking mode": "أسلوب التقنيع",
+    "Inpaint masked": "إعادة الرسم الجزئي (المنطقة المقنعة)",
+    "Inpaint not masked": "إعادة الرسم الجزئي (المنطقة الغير مقنعة)",
+    "Masked content": "المحتوى المقنع",
+    "fill": "الملأ",
+    "original": "الأصلي",
+    "latent noise": "الضوضاء الكامنة",
+    "latent nothing": "لا شيء كامن",
+    "Inpaint at full resolution": "إعادة الرسم الجزئي بدقة كاملة",
+    "Inpaint at full resolution padding, pixels": "إعادة الرسم الجزئي بدقة كاملة, الحشو, بيكسل",
+    "Process images in a directory on the same machine where the server is running.": "معالجة الصور في المجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "استخدم مجلد إخراج فارغ لحفظ الصور بشكل طبيعي بدلاً من الكتابة إلى مجلد المخرجات.",
+    "Input directory": "مجلد المدخلات",
+    "Output directory": "مجلد المخرجات",
+    "Resize mode": "وضعية تغيير الحجم",
+    "Just resize": "تغييير الحجم فقط",
+    "Crop and resize": "اقتصاص وتغيير الحجم",
+    "Resize and fill": "تغيير الحجم والتعبئة",
+    "Animator": "محرك الرسوم",
+    "Animator v2": "محرك الرسوم نسخة 2",
+    "Deforum v0.5-webui-beta": "ديفوروم 0.5",
+    "External Image Masking": "تقنيع الصور الخارجي",
+    "img2img alternative test": "صورة لصورة البديلة",
+    "Loopback": "الحلقة الراجعة",
+    "Outpainting mk2": "الرسم الخارجي نسخة 2",
+    "Poor man's outpainting": "الرسم الخارجي للفقراء",
+    "SD upscale": "ترقية الانتشار المستقر",
+    "txt2mask v0.1.1": "نص لقناع 0.1.1",
+    "[C] Video to video": "فيديو لفيديو",
+    "Videos": "فيديوهات",
+    "Render these video formats:": "رسم تنسيقات الفيديو:",
+    "GIF": "GIF",
+    "MP4": "MP4",
+    "WEBM": "WEBM",
+    "Animation Parameters": "متغيرات تحريك الرسوم",
+    "Total Animation Length (s)": "المدة الكلية للرسوم المتحركة",
+    "Framerate": "Framerate",
+    "Add_Noise": "Add_Noise",
+    "Noise Strength": "Noise Strength",
+    "Denoising_Decay": "Denoising_Decay",
+    "Denoising Decay Rate": "Denoising Decay Rate",
+    "Initial Parameters": "Initial Parameters",
+    "Denoising Strength (overrides img2img slider)": "Denoising Strength (overrides img2img slider)",
+    "Zoom Factor (scale/s)": "Zoom Factor (scale/s)",
+    "X Pixel Shift (pixels/s)": "X Pixel Shift (pixels/s)",
+    "Y Pixel Shift (pixels/s)": "Y Pixel Shift (pixels/s)",
+    "Prompt Template, applied to each keyframe below": "Prompt Template, applied to each keyframe below",
+    "Positive Prompts": "Positive Prompts",
+    "Negative Prompts": "Negative Prompts",
+    "Keyframe Format:": "Keyframe Format:",
+    "Time (s) | Desnoise | Zoom (/s) | X Shift (pix/s) | Y shift (pix/s) | Positive Prompts | Negative Prompts | Seed": "Time (s) | Desnoise | Zoom (/s) | X Shift (pix/s) | Y shift (pix/s) | Positive Prompts | Negative Prompts | Seed",
+    "Keyframes:": "Keyframes:",
+    "Rotation (deg/s)": "Rotation (deg/s)",
+    "Props": "Props",
+    "Folder:": "Folder:",
+    "Supported Keyframes:": "Supported Keyframes:",
+    "time_s | prompt | positive_prompts | negative_prompts": "time_s | prompt | positive_prompts | negative_prompts",
+    "time_s | transform | zoom | x_shift | y_shift | rotation": "time_s | transform | zoom | x_shift | y_shift | rotation",
+    "time_s | seed | new_seed_int": "time_s | seed | new_seed_int",
+    "time_s | denoise | denoise_value": "time_s | denoise | denoise_value",
+    "time_s | prop | prop_filename | x_pos | y_pos | scale | rotation": "time_s | prop | prop_filename | x_pos | y_pos | scale | rotation",
+    "time_s | set_text | textblock_name | text_prompt | x | y | fore_R | fore_G | fore_B | back_R | back_G | back_B | font_name | font_size": "time_s | set_text | textblock_name | text_prompt | x | y | fore_R | fore_G | fore_B | back_R | back_G | back_B | font_name | font_size",
+    "time_s | clear_text | textblock_name": "time_s | clear_text | textblock_name",
+    "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation": "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation",
+    "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation": "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation",
+    "time_s | clear_stamp | stamp_name": "time_s | clear_stamp | stamp_name",
+    "time_s | col_set": "time_s | col_set",
+    "time_s | col_clear": "time_s | col_clear",
+    "time_s | model | 2022-10-19T08-10-53_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-19T09-06-28_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-20T10-07-46_Zori_New_20_training_images_2020_max_training_steps_ZZ_W_token_woman_class_word, 2022-10-20T10-39-38_Zori_New_20_training_images_1010_max_training_steps_ZZ_W_token_woman_class_word, HD-16, L, L2_1, L2_2, LM, MT_V, Main+Trinart, Z1, Z2, model, modelZ, nai, robo-diffusion-v1, sd-v1-5-inpainting, trinart2_step115000, v1-5-pruned, v1-5-pruned-emaonly, wd-v1-2-full-ema, wd-v1-3-float16": "time_s | model | 2022-10-19T08-10-53_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-19T09-06-28_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-20T10-07-46_Zori_New_20_training_images_2020_max_training_steps_ZZ_W_token_woman_class_word, 2022-10-20T10-39-38_Zori_New_20_training_images_1010_max_training_steps_ZZ_W_token_woman_class_word, HD-16, L, L2_1, L2_2, LM, MT_V, Main+Trinart, Z1, Z2, model, modelZ, nai, robo-diffusion-v1, sd-v1-5-inpainting, trinart2_step115000, v1-5-pruned, v1-5-pruned-emaonly, wd-v1-2-full-ema, wd-v1-3-float16",
+    "Click here after the generation to show the video": "Click here after the generation to show the video",
+    "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha": "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha",
+    "Original Deforum Github repo  github.com/deforum/stable-diffusion": "Original Deforum Github repo  github.com/deforum/stable-diffusion",
+    "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui": "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui",
+    "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions": "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions",
+    "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit": "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit",
+    "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing": "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing",
+    "Keyframes": "Keyframes",
+    "Init": "Init",
+    "Video output": "Video output",
+    "Run settings": "Run settings",
+    "Import settings from file": "Import settings from file",
+    "Override settings": "Override settings",
+    "Custom settings file": "Custom settings file",
+    "Sampling settings": "Sampling settings",
+    "The following settings have already been set up in the webui": "The following settings have already been set up in the webui",
+    "Do you want to override them with the values above?": "Do you want to override them with the values above?",
+    "FIXME! Need to make deforum <-> webui samplers map. Before that, the sampler gets used from webui anyway. If your images are changing too adruptly, lower steps or increase strength schedule!": "FIXME! Need to make deforum <-> webui samplers map. Before that, the sampler gets used from webui anyway. If your images are changing too adruptly, lower steps or increase strength schedule!",
+    "override_these_with_webui": "override_these_with_webui",
+    "W, H, seed, sampler, steps, scale, ddim_eta, n_batch, make_grid, grid_rows": "W, H, seed, sampler, steps, scale, ddim_eta, n_batch, make_grid, grid_rows",
+    "W": "W",
+    "H": "H",
+    "seed": "seed",
+    "sampler": "sampler",
+    "klms": "klms",
+    "dpm2": "dpm2",
+    "dpm2_ancestral": "dpm2_ancestral",
+    "heun": "heun",
+    "euler": "euler",
+    "euler_ancestral": "euler_ancestral",
+    "plms": "plms",
+    "ddim": "ddim",
+    "steps": "steps",
+    "scale": "scale",
+    "ddim_eta": "ddim_eta",
+    "n_batch": "n_batch",
+    "make_grid": "make_grid",
+    "grid_rows": "grid_rows",
+    "save_settings": "save_settings",
+    "save_samples": "save_samples",
+    "display_samples": "display_samples",
+    "save_sample_per_step": "save_sample_per_step",
+    "show_sample_per_step": "show_sample_per_step",
+    "Batch settings": "Batch settings",
+    "batch_name": "batch_name",
+    "filename_format": "filename_format",
+    "seed_behavior": "seed_behavior",
+    "iter": "iter",
+    "fixed": "fixed",
+    "random": "random",
+    "schedule": "schedule",
+    "Animation settings": "Animation settings",
+    "animation_mode": "animation_mode",
+    "2D": "2D",
+    "3D": "3D",
+    "Video Input": "Video Input",
+    "max_frames": "max_frames",
+    "border": "border",
+    "replicate": "replicate",
+    "wrap": "wrap",
+    "Motion parameters:": "Motion parameters:",
+    "2D and 3D settings": "2D and 3D settings",
+    "angle": "angle",
+    "zoom": "zoom",
+    "translation_x": "translation_x",
+    "translation_y": "translation_y",
+    "3D settings": "3D settings",
+    "translation_z": "translation_z",
+    "rotation_3d_x": "rotation_3d_x",
+    "rotation_3d_y": "rotation_3d_y",
+    "rotation_3d_z": "rotation_3d_z",
+    "Prespective flip — Low VRAM pseudo-3D mode:": "Prespective flip — Low VRAM pseudo-3D mode:",
+    "flip_2d_perspective": "flip_2d_perspective",
+    "perspective_flip_theta": "perspective_flip_theta",
+    "perspective_flip_phi": "perspective_flip_phi",
+    "perspective_flip_gamma": "perspective_flip_gamma",
+    "perspective_flip_fv": "perspective_flip_fv",
+    "Generation settings:": "Generation settings:",
+    "noise_schedule": "noise_schedule",
+    "strength_schedule": "strength_schedule",
+    "contrast_schedule": "contrast_schedule",
+    "cfg_scale_schedule": "cfg_scale_schedule",
+    "To enable seed schedule select seed behavior — 'schedule'": "To enable seed schedule select seed behavior — 'schedule'",
+    "seed_schedule": "seed_schedule",
+    "Coherence:": "Coherence:",
+    "color_coherence": "color_coherence",
+    "Match Frame 0 HSV": "Match Frame 0 HSV",
+    "Match Frame 0 LAB": "Match Frame 0 LAB",
+    "Match Frame 0 RGB": "Match Frame 0 RGB",
+    "diffusion_cadence": "diffusion_cadence",
+    "3D Depth Warping:": "3D Depth Warping:",
+    "use_depth_warping": "use_depth_warping",
+    "midas_weight": "midas_weight",
+    "near_plane": "near_plane",
+    "far_plane": "far_plane",
+    "fov": "fov",
+    "padding_mode": "padding_mode",
+    "reflection": "reflection",
+    "zeros": "zeros",
+    "sampling_mode": "sampling_mode",
+    "bicubic": "bicubic",
+    "bilinear": "bilinear",
+    "nearest": "nearest",
+    "save_depth_maps": "save_depth_maps",
+    "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)": "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)",
+    "*Important change from vanilla Deforum!*": "*Important change from vanilla Deforum!*",
+    "This script uses the built-in webui weighting settings.": "This script uses the built-in webui weighting settings.",
+    "So if you want to use math functions as prompt weights,": "So if you want to use math functions as prompt weights,",
+    "keep the values above zero in both parts": "keep the values above zero in both parts",
+    "Negative prompt part can be specified with --neg": "Negative prompt part can be specified with --neg",
+    "batch_prompts (disabled atm)": "batch_prompts (disabled atm)",
+    "animation_prompts": "animation_prompts",
+    "Init settings": "Init settings",
+    "use_init": "use_init",
+    "from_img2img_instead_of_link": "from_img2img_instead_of_link",
+    "strength_0_no_init": "strength_0_no_init",
+    "strength": "strength",
+    "init_image": "init_image",
+    "use_mask": "use_mask",
+    "use_alpha_as_mask": "use_alpha_as_mask",
+    "invert_mask": "invert_mask",
+    "overlay_mask": "overlay_mask",
+    "mask_file": "mask_file",
+    "mask_brightness_adjust": "mask_brightness_adjust",
+    "mask_overlay_blur": "mask_overlay_blur",
+    "Video Input:": "Video Input:",
+    "video_init_path": "video_init_path",
+    "extract_nth_frame": "extract_nth_frame",
+    "overwrite_extracted_frames": "overwrite_extracted_frames",
+    "use_mask_video": "use_mask_video",
+    "video_mask_path": "video_mask_path",
+    "Interpolation (turned off atm)": "Interpolation (turned off atm)",
+    "interpolate_key_frames": "interpolate_key_frames",
+    "interpolate_x_frames": "interpolate_x_frames",
+    "Resume animation:": "Resume animation:",
+    "resume_from_timestring": "resume_from_timestring",
+    "resume_timestring": "resume_timestring",
+    "Video output settings": "Video output settings",
+    "skip_video_for_run_all": "skip_video_for_run_all",
+    "fps": "fps",
+    "output_format": "output_format",
+    "PIL gif": "PIL gif",
+    "FFMPEG mp4": "FFMPEG mp4",
+    "ffmpeg_location": "ffmpeg_location",
+    "add_soundtrack": "add_soundtrack",
+    "soundtrack_path": "soundtrack_path",
+    "use_manual_settings": "use_manual_settings",
+    "render_steps": "render_steps",
+    "max_video_frames": "max_video_frames",
+    "path_name_modifier": "path_name_modifier",
+    "x0_pred": "x0_pred",
+    "x": "x",
+    "image_path": "image_path",
+    "mp4_path": "mp4_path",
+    "Masking preview size": "Masking preview size",
+    "Draw new mask on every run": "Draw new mask on every run",
+    "Process non-contigious masks separately": "Process non-contigious masks separately",
+    "should be 2 or lower.": "should be 2 or lower.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
+    "Original prompt": "Original prompt",
+    "Original negative prompt": "Original negative prompt",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
+    "Decode steps": "Decode steps",
+    "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
+    "Decode CFG scale": "Decode CFG scale",
+    "Randomness": "Randomness",
+    "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
+    "Loops": "Loops",
+    "Denoising strength change factor": "معامل قوة تقليل الضوضاء",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "الإعدادات الموصى بها: خطوات أخذ العينات: 80-100 ، طريقة أخذ العينات: Euler a ، تقليل الضوضاء: 0.8",
+    "Pixels to expand": "عدد البكسل للتوسيع",
+    "Outpainting direction": "إتجاه الرسم الخارجي",
+    "left": "يسار",
+    "right": "يمين",
+    "up": "فوق",
+    "down": "تحت",
+    "Fall-off exponent (lower=higher detail)": "أس التناقص (الأدنى = تفاصيل أعلى)",
+    "Color variation": "اختلاف اللون",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيقوم بترقية الصورة إلى ضعف الأبعاد ؛ استخدم شريط تمرير العرض والارتفاع لضبط حجم التبليط",
+    "Tile overlap": "تداخل التبليط",
+    "Upscaler": "المرقي",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "ESRGAN 4x": "ESRGAN 4x",
+    "R-ESRGAN General 4xV3": "R-ESRGAN General 4xV3",
+    "R-ESRGAN General WDN 4xV3": "R-ESRGAN General WDN 4xV3",
+    "R-ESRGAN AnimeVideo": "R-ESRGAN AnimeVideo",
+    "R-ESRGAN 4x+": "R-ESRGAN 4x+",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "R-ESRGAN 2x+": "R-ESRGAN 2x+",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR_4x": "SwinIR_4x",
+    "Mask prompt": "Mask prompt",
+    "Negative mask prompt": "Negative mask prompt",
+    "Mask precision": "Mask precision",
+    "Mask padding": "Mask padding",
+    "Brush mask mode": "Brush mask mode",
+    "discard": "discard",
+    "add": "add",
+    "subtract": "subtract",
+    "Show mask in output?": "Show mask in output?",
+    "If you like my work, please consider showing your support on": "If you like my work, please consider showing your support on",
+    "Patreon": "Patreon",
+    "Input file path": "Input file path",
+    "CRF (quality, less is better, x264 param)": "CRF (quality, less is better, x264 param)",
+    "FPS": "FPS",
+    "Seed step size": "Seed step size",
+    "Seed max distance": "Seed max distance",
+    "Start time": "Start time",
+    "End time": "End time",
+    "End Prompt Blend Trigger Percent": "End Prompt Blend Trigger Percent",
+    "Prompt end": "Prompt end",
+    "Smooth video": "Smooth video",
+    "Seconds": "Seconds",
+    "Zoom": "Zoom",
+    "Zoom level": "Zoom level",
+    "Direction X": "Direction X",
+    "Direction Y": "Direction Y",
+    "Rotate": "Rotate",
+    "Degrees": "Degrees",
+    "Is the Image Tiled?": "Is the Image Tiled?",
+    "TranslateX": "TranslateX",
+    "Left": "Left",
+    "PercentX": "PercentX",
+    "TranslateY": "TranslateY",
+    "Up": "Up",
+    "PercentY": "PercentY",
+    "Show generated pictures in ui": "عرض الصور المنشئة في واجهة الاستخدام",
+    "Single Image": "صورة واحدة",
+    "Batch Process": "معالجة الدفعات",
+    "Batch from Directory": "دفعة من المجلد",
+    "Source": "مصدر",
+    "Show result images": "إظهار نتائج الصور ",
+    "Scale by": "رفع الحجم بمقدار",
+    "Scale to": "رفع الحجم إلى",
+    "Resize": "تغيير الحجم",
+    "Crop to fit": "اقتصاص للتوافق",
+    "Upscaler 2 visibility": "إظهار المرقي 2",
+    "GFPGAN visibility": "إظهار GFPGAN",
+    "CodeFormer visibility": "إظهار CodeFormer",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (0 = أقصى تأثير ، 1 = تأثير أدنى)",
+    "Open output directory": "افتح مجلد المخرجات",
+    "Send to txt2img": "أرسل إلى كتابة لصورة",
+    "extras": "إضافات",
+    "favorites": "المفضلة",
+    "Load": "تحميل",
+    "Images directory": "مجلد الصور",
+    "Prev batch": "الدفعة السابقة",
+    "Next batch": "الدفعة التالية",
+    "First Page": "الصفحة الأولى",
+    "Prev Page": "الصفحة السابقة",
+    "Page Index": "فهرس الصفحات",
+    "Next Page": "الصفحة التالية",
+    "End Page": "صفحة النهاية",
+    "number of images to delete consecutively next": "عدد الصور المطلوب حذفها على التوالي بعد ذلك",
+    "Delete": "حذف",
+    "Generate Info": "معلومات الإنشاء",
+    "File Name": "اسم الملف",
+    "Collect": "جمع",
+    "Refresh page": "إعادة تحميل الصفحة",
+    "Date to": "التاريخ إلى",
+    "Number": "الرقم",
+    "set_index": "وضع الفهرس",
+    "Checkbox": "صندوق اختيار",
+    "A merger of the two checkpoints will be generated in your": "سيتم إنشاء نموذجمدمج من النموذجين في",
+    "checkpoint": "النموذج",
+    "directory.": "المجلد.",
+    "Primary model (A)": "النموذج الأساسي (أ)",
+    "Secondary model (B)": "النموذج الثانوي (ب)",
+    "Tertiary model (C)": "النموذج الثالث (ج)",
+    "Custom Name (Optional)": "اسم مخصص (اختياري)",
+    "Multiplier (M) - set to 0 to get model A": "المضاعف (M) - اضبط على 0 للحصول على النموذج أ",
+    "Interpolation Method": "طريقة الاستنباط",
+    "Weighted sum": "المجموع الموزون",
+    "Add difference": "أضافة الاختلاف",
+    "Save as float16": "حفظ  float16",
+    "See": "شاهد",
+    "wiki": "ويكي",
+    "for detailed explanation.": "للحصول على شرح مفصل.",
+    "Create embedding": "إنشاء التضمين",
+    "Create hypernetwork": "إنشاء شبكة فائقة",
+    "Preprocess images": "تجهيز الصور",
+    "Name": "الاسم",
+    "Initialization text": "نص التهيئة",
+    "Number of vectors per token": "عدد المتجهات لكل رمز",
+    "Overwrite Old Embedding": "الكتابة فوق التضمين القديم",
+    "Modules": "الوحدات",
+    "Enter hypernetwork layer structure": "أدخل بنية طبقة الشبكة الفائقة",
+    "Select activation function of hypernetwork": "حدد وظيفة تنشيط الشبكة الفائقة",
+    "linear": "خطي (Linear)",
+    "relu": "الوحدة الخطية المعدلة (Relu)",
+    "leakyrelu": "الوحدة الخطية المعدلة المسربة (Leakyrelu)",
+    "elu": "الوحدة الأسية الخطية (Elu)",
+    "swish": "Swish",
+    "Add layer normalization": "أضف طبقة التسوية",
+    "Use dropout": "استخدم الهبوط",
+    "Overwrite Old Hypernetwork": "الكتابة فوق الشبكة الفائقة القديمة",
+    "Source directory": "مجلد المصدر",
+    "Destination directory": "مجلد النتائج",
+    "Existing Caption txt Action": "الإجراء النصي للتعليق المتوفر",
+    "ignore": "تجاهل",
+    "copy": "نسخ",
+    "prepend": "أضف قبل",
+    "append": "ألحق",
+    "Create flipped copies": "قم بإنشاء نسخ مقلوبة",
+    "Split oversized images": "تقسيم الصور كبيرة الحجم",
+    "Use BLIP for caption": "استخدم BLIP للتعليق",
+    "Use deepbooru for caption": "استخدم deepbooru للتعليق",
+    "Split image threshold": "حد تقسيم الصورة",
+    "Split image overlap ratio": "نسبة تداخل الصورة المنقسمة",
+    "Preprocess": "تجهيز الصور",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "تدريب التضمين أو الشبكة الفائقة ؛ يجب تحديد مجلد بمجموعة من الصور بنسبة أبعاد 1: 1",
+    "[wiki]": "[ويكي]",
+    "Embedding": "التضمين",
+    "Embedding Learning rate": "معدل تعلم التضمين",
+    "Hypernetwork Learning rate": "معدل تعلم الشبكة الفائقة",
+    "Dataset directory": "مجلد مجموعة البيانات",
+    "Log directory": "مجلد السجل",
+    "Prompt template file": "ملف قالب الموجهات",
+    "Max steps": "الخطوات القصوى",
+    "Save an image to log directory every N steps, 0 to disable": "حفظ صورة في مجلد السجل  كل N خطوات ، 0 للتعطيل",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "حفظ نسخة من التضمين في مجلد السجل كل N خطوات ، 0 للتعطيل",
+    "Save images with embedding in PNG chunks": "حفظ التضمين مع الصور في أجزاء PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "قراءة المتغيرات (الموجه ، إلخ ...) من علامة تبويب نص لصورة عند إجراء المعاينات",
+    "Train Hypernetwork": "تدريب الشبكة الفائقة",
+    "Train Embedding": "تدريب التضمين",
+    "Apply settings": "تطبيق الإعدادات",
+    "Saving images/grids": "حفظ الصور / الإطار الشبكي",
+    "Always save all generated images": "احفظ دائمًا جميع الصور التي تم إنشائها",
+    "File format for images": "تنسيق ملفات الصور",
+    "Images filename pattern": "نمط اسم ملفات الصور",
+    "Always save all generated image grids": "احفظ دائمًا جميع الإطارات الشبكية للصور التي تم إنشاؤها",
+    "File format for grids": "تنسيق ملفات الإطارات الشبكية",
+    "Add extended info (seed, prompt) to filename when saving grid": "أضف معلومات إضافية (البذرة ، الموجه) إلى اسم الملف عند حفظ الإطار الشبكي",
+    "Do not save grids consisting of one picture": "لا تحفظ الإطارات الشبكية التي تتكون من صورة واحدة",
+    "Prevent empty spots in grid (when set to autodetect)": "منع المناطق الفارغة في الإطار الشبكي (عند الضبط على الاكتشاف التلقائي)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف الإطار الشبكي استخدم -1 للاكتشاف التلقائي و 0 ليكون نفس حجم الدُفعة",
+    "Save text information about generation parameters as chunks to png files": "احفظ معلومات نصية حول متغيرات الإنشاء كمقاطع في ملفات png",
+    "Create a text file next to every image with generation parameters.": "قم بإنشاء ملف نصي بجوار كل صورة باستخدام متغيرات الإنشاء.",
+    "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل القيام بترميم الوجوه.",
+    "Quality for saved jpeg images": "جودة الصور المحفوظة بتنسيق jpeg",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كانت صورة PNG أكبر من 4 ميجابايت أو كان أي بُعد أكبر من 4000 ، قم بتقليل حجم الصورة وحفظها بتنسيق JPG",
+    "Use original name for output filename during batch process in extras tab": "استخدم الاسم الأصلي لاسم ملف الإخراج أثناء عملية الدُفعات في علامة تبويب الإضافات",
+    "When using 'Save' button, only save a single selected image": "عند استخدام زر 'حفظ' ، احفظ فقط صورة واحدة محددة",
+    "Do not add watermark to images": "لا تقم بإضافة العلامة المائية للصور",
+    "Paths for saving": "مسارات الحفظ",
+    "Output directory for images; if empty, defaults to three directories below": "مجلد المخرجات للصور ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدات الثلاثة أدناه",
+    "Output directory for txt2img images": "مجلد المخرجات لصور نص لصورة",
+    "Output directory for img2img images": "مجلد المخرجات لصور صورة لصورة",
+    "Output directory for images from extras tab": "مجلد المخرجات لصور علامة تبويب الإضافات",
+    "Output directory for grids; if empty, defaults to two directories below": "مجلد المخرجات للإطارات الشبكية ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدين أدناه",
+    "Output directory for txt2img grids": "مجلد المخرجات للإطارات الشبكية نص لصورة",
+    "Output directory for img2img grids": "مجلد المخرجات للإطارات الشبكية صورة لصورة",
+    "Directory for saving images using the Save button": "مجلد لحفظ الصور باستخدام زر حفظ",
+    "Saving to a directory": "يتم الحفظ إلى المجلد..",
+    "Save images to a subdirectory": "حفظ الصور في مجلد فرعي",
+    "Save grids to a subdirectory": "حفظ الإطارات الشبكية في مجلد فرعي",
+    "When using 'Save' button, save images to a subdirectory": "عند استخدام زر 'حفظ' ، احفظ الصور في مجلد فرعي",
+    "Directory name pattern": "نمط اسم المجلد",
+    "Max prompt words for [prompt_words] pattern": "أقصى عدد لكلمات التوجيه لنمط [كلمات_التوجيه]",
+    "Upscaling": "الارتقاء",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم التبليط لترقيات ESRGAN, القيمة 0= لا يوجد تبليط.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل المربعات ، بالبكسل لمرقي ESRGAN. القيم المنخفضة = تداخل مرئي.",
+    "Tile size for all SwinIR.": "حجم التليط لجميع عمليات SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل المربعات بالبكسل لـ SwinIR. القيم المنخفضة = تداخل مرئي.",
+    "LDSR processing steps. Lower = faster": "خطوات معالجة LDSR. أقل = أسرع",
+    "Upscaler for img2img": "المرقي لصورة لصورة",
+    "Upscale latent space image when doing hires. fix": "ترقية صورة الفضاء الكامن عند التعيينات. تصليح",
+    "Face restoration": "ترميم الوجوه",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "متغيرات وزن CodeFormer ؛ 0 = أقصى تأثير ؛ 1 = الحد الأدنى من التأثير",
+    "Move face restoration model from VRAM into RAM after processing": "انقل نموذج استعادة الوجوه من VRAM إلى RAM بعد المعالجة",
+    "System": "نظام",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "استطلاعات استخدام VRAM في الثانية أثناء الإنشاء. اضبط على 0 للتعطيل.",
+    "Always print all generation info to standard output": "قم دائمًا بطباعة جميع معلومات الإنشاء إلى المخرج القياسي",
+    "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم آخر إلى وحدة التحكم يُظهر التدقم الكلي للمهمة.",
+    "Training": "التدريب",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "تفريغ VAE و CLIP من VRAM عند التدريب",
+    "Filename word regex": "اسم ملف كلمات regex",
+    "Filename join string": "سلسلة أحرف دمج أسماء الملفات",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد التكرارات لصورة إدخال واحدة لكل حقبة ؛ تستخدم فقط لعرض رقم الحقبة",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "حفظ ملف csv يحتوي على الخسارة إلى مجلد السجل كل N خطوات ، 0 للتعطيل",
+    "Stable Diffusion": "انتشار مستقر",
+    "Checkpoints to cache in RAM": "التخزين المؤقت للنماذج في RAM",
+    "Hypernetwork strength": "قوة الشبكة الفائقة",
+    "Apply color correction to img2img results to match original colors.": "قم بتطبيق تصحيح الألوان على نتائج صورة لصورة لمطابقة الألوان الأصلية.",
+    "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصورة قبل تطبيق تصحيح الألوان على نتائج  صورة لصورة",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "باستخدام صورة لصورة ، قم بالضبط بعدد الخطوات التي يحددها شريط التمرير (عادةً ما سيكون أقل مع تقليل التشويش).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "تمكين تكميم عينات K للحصول على نتائج أوضح وأنظف. هذا قد يغير البذرة المستخدمة. يتطلب إعادة التشغيل للتطبيق.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "التأكيد: استخدم (النص) لجعل النموذج يولي مزيدًا من الاهتمام للنص و استخدم [النص] لجعل النموذج يولي اهتمامًا أقل  للنص",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم طريقة التأكيد القديمة. يمكن أن يكون مفيدًا لإعادة إنتاج البذور القديمة.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "اجعل انظمة أخذ عينات الانتشار K تنتج نفس الصور في الدفعات كما هو الحال عند إنشاء صورة واحدة",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "زيادة التناسق عن طريق المساحة المتروكة من الفاصلة الأخيرة ضمن عدد n من الرموز المميزة عند استخدام أكثر من 75 رمزًا مميزًا",
+    "Filter NSFW content": "تصفية المحتوى الإباحي",
+    "Stop At last layers of CLIP model": "توقف عند آخر طبقات نموذج CLIP",
+    "Interrogate Options": "خيارات الاستجواب",
+    "Interrogate: keep models in VRAM": "الاستجواب: احتفظ بالنماذج في VRAM",
+    "Interrogate: use artists from artists.csv": "الاستجواب: استخدم  قائمة الفنانين من ملف artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "الاستجواب: قم بتضمين رتب علامات النموذج في النتائج (ليس له تأثير على الاستجواب المستند إلى التعليقات).",
+    "Interrogate: num_beams for BLIP": "الاستجواب: عدد الحزم لـ BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "الاستجواب: الحد الأدنى لطول الوصف (باستثناء الفنانين ،إلخ..)",
+    "Interrogate: maximum description length": "الاستجواب: الحد الأقصى لطول الوصف",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: أقصى عدد من الأسطر في الملف النصي (0 = بلا حدود)",
+    "Interrogate: deepbooru score threshold": "الاستجواب: عتبة درجات deepbooru",
+    "Interrogate: deepbooru sort alphabetically": "الاستجواب: الترتيب الأبجدي لـ deepbooru",
+    "use spaces for tags in deepbooru": "استخدام مسافات للعلامات في deepbooru",
+    "User interface": "واجهة المستخدم",
+    "Show progressbar": "إظهار شريط التقدم",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "إظهار تقدم إنشاء الصورة لكل N خطوة من خطوات أخذ العينات. قم بتعيين 0 للتعطيل.",
+    "Show previews of all images generated in a batch as a grid": "إظهار معاينة لجميع الصور التي يتم إنشائها في الدفعة كإطار شبكي",
+    "Show grid in results for web": "إظهار الإطار الشبكي في نتائج الويب",
+    "Do not show any images in results for web": "لا تظهر أي صور في نتائج الويب",
+    "Add model hash to generation information": "أضف معلومات الهاش للنموذج إلى معلومات الإنشاء",
+    "Add model name to generation information": "أضف اسم النموذج إلى معلومات الإنشاء",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "عند قراءة متغيرات الإنشاء من النص إلى واجهة المستخدم (من معلومات PNG أو النص الملصق) ، لا تقم بتغيير النموذج",
+    "Font for image grids that have text": "الخط المستخدم للإطارات الشبكية للصور التي تحتوي على نص",
+    "Enable full page image viewer": "تفعيل عارض الصور ذو الصفحة الكاملة",
+    "Show images zoomed in by default in full page image viewer": "إظهار الصور التي تم تكبيرها بشكل افتراضي في عارض الصور ذو الصفحة الكاملة",
+    "Show generation progress in window title.": "إظهار تقدم الإنشاء في عنوان الشاشة.",
+    "Quicksettings list": "قائمة الإعدادات السريعة",
+    "Localization (requires restart)": "الترجمة (يتطلب إعادة التشغيل)",
+    "ar_AR": "العربية",
+    "ja_JP": "اليابانية",
+    "ru_RU": "الروسية",
+    "Sampler parameters": "متغيرات أنظمة اخذ العينات",
+    "Hide samplers in user interface (requires restart)": "إخفاء أنظمة أخذ العينات في واجهة المستخدم (يتطلب إعادة التشغيل)",
+    "eta (noise multiplier) for DDIM": "الوقت المتبقي (مضاعف الضوضاء) لـ DDIM",
+    "eta (noise multiplier) for ancestral samplers": "الوقت المتبقي (مضاعف الضوضاء) لأنظمة أخذ العينات التي تعتمد على الأجداد",
+    "img2img DDIM discretize": "تفصل DDIM لصورة لصورة",
+    "uniform": "التوحيد",
+    "quad": "رباعية",
+    "sigma churn": "دفع سيجما",
+    "sigma tmin": "سيجما tmin",
+    "sigma noise": "ضجيج سيجما",
+    "Eta noise seed delta": "الوقت المتوقع لديلتا بذرة الضجيج ",
+    "Images Browser": "مستعرض الصور",
+    "Preload images at startup": "تحميل الصور مسبقًا عند بدء التشغيل",
+    "Number of pictures displayed on each page": "عدد الصور المعروضة في كل صفحة",
+    "Minimum number of pages per load": "الحد الأدنى لعدد الصفحات لكل تحميل",
+    "Number of grids in each row": "عدد الإطارات الشبكية لكل صف",
+    "Request browser notifications": "طلب إشعارات المتصفح",
+    "Download localization template": "تنزيل نموذج الترجمة",
+    "Reload custom script bodies (No ui updates, No restart)": "إعادة تحميل السكريبتات المخصصة (لا توجد تحديثات لواجهة المستخدم ، لا إعادة تشغيل)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعادة تشغيل  Gradio و تحديث مكونات واجهة الاستخدام (السكريبتات و ui.py و js و css فقط)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه السلبي (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
+    "Add a random artist to the prompt.": "أضف فنانًا عشوائيًا إلى الموجه.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "قراءة متغيرات الإنشاء من الموجه أو الإنشاء الأخير إذا كان الموجه فارغا في واجهة المستخدم.",
+    "Save style": "حفظ النمط",
+    "Apply selected styles to current prompt": "تطبيق الأنماط المحددة للموجه الحالي",
+    "Stop processing current image and continue processing.": "توقف عن معالجة الصورة الحالية واستمر في المعالجة.",
+    "Stop processing images and return any results accumulated so far.": "توقف عن معالجة الصور وقم بإرجاع أي نتائج متراكمة حتى الآن.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "النمط المطلوب تطبيقه ؛ الأنماط لها مكونات لكل من الموجهات الإيجابية والسلبية وتنطبق على كليهما",
+    "Do not do anything special": "لا تفعل أي شيء خاص",
+    "Which algorithm to use to produce the image": "الخوارزمية التي يجب استخدامها لإنتاج الصورة",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - مبدع جدًا ، يمكن لكل منها الحصول على صورة مختلفة تمامًا اعتمادًا على عدد الخطوات ، تعيين الخطوات على أعلى من 30-40 لا يعطي نتيجة مفيدة",
+    "Denoising Diffusion Implicit Models - best at inpainting": "نماذج تقليل التشويش الضمني  - أفضل اسخدام في الرسم الجزئي",
+    "Produce an image that can be tiled.": "أنتج صورة يمكن تبليطها.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "استخدم عملية من خطوتين لإنشاء صورة جزئيًا بدقة أقل ثم ترقيتها و تحسين تفاصيلها دون تغيير التكوين",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "يحدد مدى ضآلة احترام الخوارزمية لمحتوى الصورة. عند 0 ، لن يتغير شيء ، وعند 1 ستحصل على صورة لا صلة لها بالصورة الأصلية. مع وجود قيم أقل من 1.0 ، المعالجة ستأخذ خطوات أقل مما يحدده شريط تمرير خطوات المعالجة.",
+    "How many batches of images to create": "كم عدد دفعات الصور التي يتم إنشائها",
+    "How many image to create in a single batch": "كم صورة يتم إنشائها دفعة واحدة",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "مقياس التوجيه الحر للمصنف - إلى أي مدى يجب أن تتوافق الصورة مع الموجه - القيم المنخفضة تنتج نتائج أكثر إبداعًا",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "القيمة التي تحدد ناتج منشئ الأرقام العشوائية - إذا قمت بإنشاء صورة بنفس المتغيرات و بذرة الصورة ، فستحصل على نفس النتيجة",
+    "Set seed to -1, which will cause a new random number to be used every time": "عيّن البذرة إلى -1 ، مما سيؤدي إلى استخدام رقم عشوائي جديد في كل مرة",
+    "Reuse seed from last generation, mostly useful if it was randomed": "إعادة استخدام البذرة من الإنشاء الأخير ، وتكون مفيدة في الغالب إذا كانت عشوائية",
+    "Seed of a different picture to be mixed into the generation.": "استخدام بذرة من صورة مختلفة ليتم مزجها في الإنشاء.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "ما مدى قوة التباين عند الإنشاء. 0 ، لن يكون هناك أي تأثير. 1 ، ستحصل على الصورة الكاملة ببذور التباين (باستثناء أنظمة عينات الأسلاف ، حيث ستحصل على شيء ما فقط).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "قم بمحاولة لإنتاج صورة مشابهة لما تم إنتاجه بنفس البذرة بناءا على دقة محددة",
+    "Separate values for X axis using commas.": "افصل بين قيم المحور X باستخدام الفواصل.",
+    "Separate values for Y axis using commas.": "افصل بين قيم المحور Y باستخدام الفواصل.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "اكتب الصورة إلى مجلد (الافتراضي -  log/images) وتوليد المتغيرات في ملف csv.",
+    "Open images output directory": "افتح مجلد مخرجات الصور",
+    "How much to blur the mask before processing, in pixels.": "كم يتم تضبيب القناع قبل المعالجة ، بالبكسل.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "ما يجب وضعه داخل المنطقة المقنعة قبل معالجتها باستخدام الانتشار المستقر.",
+    "fill it with colors of the image": "املأها بألوان الصورة",
+    "keep whatever was there originally": "احتفظ بكل ما كان هناك في الأصل",
+    "fill it with latent space noise": "املأه بضوضاء الفضاء الكامنة",
+    "fill it with latent space zeroes": "املأه بأصفار الفضاء الكامنة",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "قم بترقية المنطقة المقنعة إلى الدقة المستهدفة و الرسم الجزئي ثم تقليص الحجم  واللصق في الصورة الأصلية",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "تغيير حجم الصورة إلى الدقة المستهدفة. ما لم يتطابق الطول والعرض ، ستحصل على نسبة عرض إلى ارتفاع غير صحيحة.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "قم بتغيير حجم الصورة بحيث يتم ملء الدقة المستهدفة بالكامل بالصورة. يتم قطع المناطق التي تبرز.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "قم بتغيير حجم الصورة بحيث تكون الصورة بأكملها داخل الدقة المستهدفة. املأ المساحة الفارغة بألوان الصورة.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم تكرار معالجة صورة واستخدامها  كمدخل للتكرار التالي",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "في وضع حلقة الاسترجاع ، يتم ضرب قوة تقليل الضوضاء بهذه القيمة في كل حلقة. يعني <1 تقليل التنوع بحيث يتقارب التسلسل الخاص بك على صورة ثابتة. > 1 يعني زيادة التنوع بحيث يصبح تسلسلك أكثر وأكثر فوضوية.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "الترقية باستخدام الانتشار المستقر ، كم يجب أن يكون مقدار التداخل بالبكسل بين المربعات. تتداخل المربعات بحيث لا يكون هناك خط واضح للعيان عند دمجها مرة أخرى في صورة واحدة.",
+    "A directory on the same machine where the server is running.": "مجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
+    "Leave blank to save images to the default path.": "اتركه فارغًا لحفظ الصور في المسار الافتراضي.",
+    "Input images directory": "مجلد الصور المدخلة",
+    "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "يجب أن يكون الرقم الأول والأخير 1. على سبيل المثال: '1 ، 2 ، 1'",
+    "Path to directory with input images": "المسار إلى مجلد الصور المدخلة",
+    "Path to directory where to write outputs": "المسار إلى مجلد كتابة النتائج",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتعريف كيفية اختيار أسماء الملفات للصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "إذا تم تمكين هذا الخيار ، فلن تتم إضافة العلامة المائية إلى الصور التي تم إنشاؤها. تحذير: إذا لم تقم بإضافة علامة مائية ، فقد تكون تتصرف بطريقة غير أخلاقية.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتحديد كيفية اختيار المجادت الفرعية للصور و الإطارات الشبكية : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
+    "Restore low quality faces using GFPGAN neural network": "ترميم الوجوه منخفضة الجودة باستخدام الشبكة العصبية GFPGAN ",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "سيتم استخدام هذا التعبير العادي لاستخراج الكلمات من اسم الملف ، وسيتم ضمها باستخدام الخيار أدناه في نص التسمية المستخدم للتدريب. اتركه فارغًا للاحتفاظ بنص اسم الملف كما هو.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "سيتم استخدام هذا النص لضم الكلمات المقسمة إلى سطر واحد إذا تم تمكين الخيار أعلاه.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة أسماء الإعدادات ، مفصولة بفواصل ، للإعدادات التي يجب أن تنتقل إلى شريط الوصول السريع في الأعلى ، بدلاً من علامة تبويب الإعداد المعتادة. انظر modules / shared.py للتعرف على أسماء الإعدادات. يتطلب إعادة التشغيل للتطبيق.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "إذا كانت هذه القيم غير صفرية ، فستتم إضافتها إلى البذرة واستخدامها لتهيئة فوضى الضوضاء عند استخدام أنظمة أخذ العينات باستخدام الوقت المتبقي. يمكنك استخدام ذلك لإنتاج المزيد من التنوعات في الصور ، أو يمكنك استخدامه لمطابقة صور البرامج الأخرى إذا كنت تعرف ما تفعله."
+}
\ No newline at end of file

From 595dca85af9e26b5d76cd64659a5bdd9da4f2b89 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Mon, 24 Oct 2022 08:32:18 -0300
Subject: [PATCH 136/321] Reverse run_extras change

Update serialization on the batch images endpoint
---
 modules/api/api.py    | 7 ++++++-
 modules/api/models.py | 8 ++++----
 modules/extras.py     | 2 +-
 3 files changed, 11 insertions(+), 6 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 799e3701..67b783de 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -109,7 +109,12 @@ class Api:
     def extras_batch_images_api(self, req: ExtrasBatchImagesRequest):
         reqDict = setUpscalers(req)
 
-        reqDict['image_folder'] = list(map(decode_base64_to_file, reqDict['imageList']))
+        def prepareFiles(file):
+            file = decode_base64_to_file(file.data, file_path=file.name)
+            file.orig_name = file.name
+            return file
+
+        reqDict['image_folder'] = list(map(prepareFiles, reqDict['imageList']))
         reqDict.pop('imageList')
 
         with self.queue_lock:
diff --git a/modules/api/models.py b/modules/api/models.py
index e461d397..fca2f991 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -138,12 +138,12 @@ class ExtrasSingleImageRequest(ExtrasBaseRequest):
 class ExtrasSingleImageResponse(ExtraBaseResponse):
     image: str = Field(default=None, title="Image", description="The generated image in base64 format.")
 
-class ImageItem(BaseModel):
-    data: str = Field(title="image data")
-    name: str = Field(title="filename")
+class FileData(BaseModel):
+    data: str = Field(title="File data", description="Base64 representation of the file")
+    name: str = Field(title="File name")
 
 class ExtrasBatchImagesRequest(ExtrasBaseRequest):
-    imageList: list[str] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
+    imageList: list[FileData] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
 
 class ExtrasBatchImagesResponse(ExtraBaseResponse):
     images: list[str] = Field(title="Images", description="The generated images in base64 format.")
diff --git a/modules/extras.py b/modules/extras.py
index 29ac312e..22c5a1c1 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -33,7 +33,7 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
         for img in image_folder:
             image = Image.open(img)
             imageArr.append(image)
-            imageNameArr.append(os.path.splitext(img.name)[0])
+            imageNameArr.append(os.path.splitext(img.orig_name)[0])
     elif extras_mode == 2:
         assert not shared.cmd_opts.hide_ui_dir_config, '--hide-ui-dir-config option must be disabled'
 

From 9f79e59a95042635f5b14e1ebc691431b9e3000e Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 14:42:18 +0300
Subject: [PATCH 137/321] added info about History/Image browser to readme

---
 README.md | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1a0e4f6a..55c050d5 100644
--- a/README.md
+++ b/README.md
@@ -72,7 +72,7 @@ Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-web
 - No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
 - DeepDanbooru integration, creates danbooru style tags for anime prompts (add --deepdanbooru to commandline args)
 - [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)
-- History tab: view, direct and delete images conveniently within the UI
+- via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
 - Generate forever option
 - Training tab
      - hypernetworks and embeddings options
@@ -95,6 +95,16 @@ git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-grad
 After running this command, make sure that you have `aesthetic-gradients` dir in webui's `extensions` directory and restart
 the UI. The interface for Aesthetic Gradients should appear exactly the same as it was.
 
+## Where is History/Image browser?!?!
+Image browser is now an extension. You can install it using git:
+
+```commandline
+git clone https://github.com/yfszzx/stable-diffusion-webui-images-browser extensions/images-browser
+```
+
+After running this command, make sure that you have `images-browser` dir in webui's `extensions` directory and restart
+the UI. The interface for Image browser should appear exactly the same as it was.
+
 ## Installation and Running
 Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
 

From 8d8d4d8a1b6401ef3c21d21d7784eb2e1f82d955 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 24 Oct 2022 20:55:21 +0900
Subject: [PATCH 138/321] Update new strings in Settings tab

---
 localizations/ko_KR.json | 1 +
 1 file changed, 1 insertion(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index ab12c37e..eb614c35 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -21,6 +21,7 @@
   "Add layer normalization": "레이어 정규화(normalization) 추가",
   "Add model hash to generation information": "생성 정보에 모델 해시 추가",
   "Add model name to generation information": "생성 정보에 모델 이름 추가",
+  "Add number to filename when saving": "이미지를 저장할 때 파일명에 숫자 추가하기",
   "Aesthetic imgs embedding": "스타일 이미지 임베딩",
   "Aesthetic learning rate": "스타일 학습 수",
   "Aesthetic steps": "스타일 스텝 수",

From 0c0028a9d3be4fc98bbdf975a6e0daa663bbed2d Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Mon, 24 Oct 2022 21:13:36 +0900
Subject: [PATCH 139/321] UnknownTimeZoneError

---
 modules/images.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index 848ede75..9a8fe3ed 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -344,7 +344,10 @@ class FilenameGenerator:
         time_datetime = datetime.datetime.now()
 
         time_format = args[0] if len(args) > 0 else self.default_time_format
-        time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
+        try:
+            time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
+        except pytz.exceptions.UnknownTimeZoneError as _:
+            time_zone = None
 
         time_zone_time = time_datetime.astimezone(time_zone)
         try:

From df0a1f83815c771246a7b1bca85d63feaefad8d1 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Mon, 24 Oct 2022 21:28:57 +0900
Subject: [PATCH 140/321] add hints, [datetime<Format><Time Zone>]

---
 javascript/hints.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/javascript/hints.js b/javascript/hints.js
index a1fcc93b..6ddd6aec 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -62,8 +62,8 @@ titles = {
 
     "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.",
 
-    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
     "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",
 
     "Loopback": "Process an image, use it as an input, repeat.",

From e595b41c9d8a596b9b29d9505324e9afca2f12b5 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 25 Oct 2022 00:17:46 +0900
Subject: [PATCH 141/321] Update translations for renewed tooltip texts

---
 localizations/ko_KR.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index eb614c35..52ba4020 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -466,8 +466,8 @@
   "Use BLIP for caption": "캡션에 BLIP 사용",
   "Use deepbooru for caption": "캡션에 deepbooru 사용",
   "Use dropout": "드롭아웃 사용",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
   "Use old emphasis implementation. Can be useful to reproduce old seeds.": "옛 방식의 강조 구현을 사용합니다. 옛 시드를 재현하는 데 효과적일 수 있습니다.",
   "Use original name for output filename during batch process in extras tab": "부가기능 탭에서 이미지를 여러장 처리 시 결과물 파일명에 기존 파일명 사용하기",
   "use spaces for tags in deepbooru": "deepbooru에서 태그에 공백 사용",

From ca2ebc89c2d18c02d9e337b660fdabe7178a6ccc Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Mon, 24 Oct 2022 19:03:01 +0300
Subject: [PATCH 142/321] Add RTL languages support and improved Arabic
 localization

---
 javascript/localization.js |   20 +-
 localizations/ar_AR.json   | 1145 ++++++++++++++----------------------
 localizations/ja_JP.json   |    1 +
 localizations/ko_KR.json   |    1 +
 localizations/ru_RU.json   |    1 +
 style.css                  |   74 +++
 6 files changed, 551 insertions(+), 691 deletions(-)

diff --git a/javascript/localization.js b/javascript/localization.js
index e6644635..6fb2fccd 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -107,7 +107,7 @@ function processNode(node){
 }
 
 function dumpTranslations(){
-    dumped = {}
+    dumped = { rtl: localization.rtl || false }
 
     Object.keys(original_lines).forEach(function(text){
         if(dumped[text] !== undefined)  return
@@ -129,6 +129,24 @@ onUiUpdate(function(m){
 
 document.addEventListener("DOMContentLoaded", function() {
     processNode(gradioApp())
+
+    if (localization.rtl) {  // if the language is from right to left,
+        (new MutationObserver((mutations, observer) => { // wait for the style to load
+            mutations.forEach(mutation => {
+                mutation.addedNodes.forEach(node => {
+                    if (node.tagName === 'STYLE') {
+                        observer.disconnect();
+
+                        for (const x of node.sheet.rules) {  // find all rtl media rules
+                            if (Array.from(x.media || []).includes('rtl')) {
+                                x.media.appendMedium('all');  // enable them
+                            }
+                        }
+                    }
+                })
+            });
+        })).observe(gradioApp(), { childList: true });
+    }
 })
 
 function download_localization() {
diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index 6d03e013..1195a8e9 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -1,691 +1,456 @@
-{   "⤡": "⤡",
-    "⊞": "⊞",
-    "×": "×",
-    "❮": "❮",
-    "❯": "❯",
-    "Loading...": "جار التحميل...",
-    "view": "معاينة",
-    "api": "api",
-    "•": "•",
-    "built with gradio": "مبني باستخدام Gradio",
-    "Stable Diffusion checkpoint": "نماذج الانتشار المستقر",
-    "txt2img": "نص لصورة",
-    "img2img": "صورة لصورة",
-    "Extras": "الإضافات",
-    "PNG Info": "معلومات PNG",
-    "Image Browser": "مستعرض الصور",
-    "Checkpoint Merger": "دمج النماذج",
-    "Train": "التدريب",
-    "Settings": "الإعدادات",
-    "Prompt": "الموجه",
-    "Negative prompt": "الموجه السلبي",
-    "Run": "تشغيل",
-    "Skip": "تخطي",
-    "Interrupt": "إيقاف",
-    "Generate": "إنشاء",
-    "Style 1": "نمط 1",
-    "Style 2": "نمط 2",
-    "Label": "الوسم",
-    "File": "ملف",
-    "Drop File Here": "اسحب الملف هنا",
-    "-": "-",
-    "or": "أو",
-    "Click to Upload": "انقر للتحميل",
-    "Image": "صورة",
-    "Check progress": "تحقق من التقدم",
-    "Check progress (first)": "تحقق من التقدم (الأول)",
-    "Sampling Steps": "خطوات أخذ العينة",
-    "Sampling method": "نظام أخذ العينات",
-    "Euler a": "Euler a",
-    "Euler": "Euler",
-    "LMS": "LMS",
-    "Heun": "Heun",
-    "DPM2": "DPM2",
-    "DPM2 a": "DPM2 a",
-    "DPM fast": "DPM fast",
-    "DPM adaptive": "DPM adaptive",
-    "LMS Karras": "LMS Karras",
-    "DPM2 Karras": "DPM2 Karras",
-    "DPM2 a Karras": "DPM2 a Karras",
-    "DDIM": "DDIM",
-    "PLMS": "PLMS",
-    "Width": "العرض",
-    "Height": "الارتفاع",
-    "Restore faces": "ترميم الوجوه",
-    "Tiling": "تبليط",
-    "Highres. fix": "إصلاح الصور عالية الدقة",
-    "Firstpass width": "عرض المرور الأول",
-    "Firstpass height": "ارتفاع المرور الأول",
-    "Denoising strength": "قوة تقليل الضوضاء",
-    "Batch count": "عدد الدُفعات",
-    "Batch size": "حجم الدفعة",
-    "CFG Scale": "مقياس التقارب من الموجه (CFG)",
-    "Seed": "البذرة",
-    "Extra": "إضافي",
-    "Variation seed": "تباين البذرة",
-    "Variation strength": "قوة التباين",
-    "Resize seed from width": "تغيير حجم البذرة من العرض",
-    "Resize seed from height": "تغيير حجم البذرة من الارتفاع",
-    "Script": "سكريبت",
-    "None": "لايوجد",
-    "Prompt matrix": "مصفوفة الموجهات",
-    "Prompts from file or textbox": "موجهات من ملف أو مربع النص",
-    "X/Y plot": "الرسم البياني X/Y",
-    "Put variable parts at start of prompt": "ضع الأجزاء المتغيرة في بداية الموجه",
-    "Show Textbox": "إظهار مربع النص",
-    "File with inputs": "ملف يحتوي المدخلات",
-    "Prompts": "الموجهات",
-    "X type": "نوع X",
-    "Nothing": "لا شئ",
-    "Var. seed": "تغير البذرة",
-    "Var. strength": "قوة التغيير",
-    "Steps": "الخطوات",
-    "Prompt S/R": "موجه S / R",
-    "Prompt order": "ترتيب الموجهات",
-    "Sampler": "نظام أخذ العينات",
-    "Checkpoint name": "اسم النموذج",
-    "Hypernetwork": "الشبكة الفائقة",
-    "Hypernet str.": "قوة الشبكة الفائقة",
-    "Sigma Churn": "دفع سيجما",
-    "Sigma min": "أصغر سيجما",
-    "Sigma max": "أكبر سيجما",
-    "Sigma noise": "ضجة سيجما",
-    "Eta": "الوقت المتوقع",
-    "Clip skip": "تخطي Clip",
-    "Denoising": "تقليل الضوضاء",
-    "X values": "قيم X",
-    "Y type": "نوع Y",
-    "Y values": "قيم Y",
-    "Draw legend": "ارسم مفتاح التوضيح",
-    "Include Separate Images": "قم بتضمين الصور منفصلة",
-    "Keep -1 for seeds": "احتفظ بـقيمة -1 للبذور",
-    "Drop Image Here": "إسقاط الصورة هنا",
-    "Save": "حفظ",
-    "Send to img2img": "أرسل إلى صورة لصورة",
-    "Send to inpaint": "أرسل إلى إعادة الرسم الجزئي",
-    "Send to extras": "أرسل إلى الإضافات",
-    "Make Zip when Save?": "إنشاء ملف مضغوط عند الحفظ؟",
-    "Textbox": "مربع النص",
-    "Interrogate\nCLIP": "استجواب\n CLIP",
-    "Inpaint": "إعادة الرسم الجزئي",
-    "Batch img2img": "دفعات صورة لصورة",
-    "Image for img2img": "صورة (صورة لصورة)",
-    "Image for inpainting with mask": "صورة (إعادة الرسم الجزئي)",
-    "Mask": "القناع",
-    "Mask blur": "ضبابية القناع",
-    "Mask mode": "أسلوب القناع",
-    "Draw mask": "رسم القناع",
-    "Upload mask": "تحميل القناع",
-    "Masking mode": "أسلوب التقنيع",
-    "Inpaint masked": "إعادة الرسم الجزئي (المنطقة المقنعة)",
-    "Inpaint not masked": "إعادة الرسم الجزئي (المنطقة الغير مقنعة)",
-    "Masked content": "المحتوى المقنع",
-    "fill": "الملأ",
-    "original": "الأصلي",
-    "latent noise": "الضوضاء الكامنة",
-    "latent nothing": "لا شيء كامن",
-    "Inpaint at full resolution": "إعادة الرسم الجزئي بدقة كاملة",
-    "Inpaint at full resolution padding, pixels": "إعادة الرسم الجزئي بدقة كاملة, الحشو, بيكسل",
-    "Process images in a directory on the same machine where the server is running.": "معالجة الصور في المجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
-    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "استخدم مجلد إخراج فارغ لحفظ الصور بشكل طبيعي بدلاً من الكتابة إلى مجلد المخرجات.",
-    "Input directory": "مجلد المدخلات",
-    "Output directory": "مجلد المخرجات",
-    "Resize mode": "وضعية تغيير الحجم",
-    "Just resize": "تغييير الحجم فقط",
-    "Crop and resize": "اقتصاص وتغيير الحجم",
-    "Resize and fill": "تغيير الحجم والتعبئة",
-    "Animator": "محرك الرسوم",
-    "Animator v2": "محرك الرسوم نسخة 2",
-    "Deforum v0.5-webui-beta": "ديفوروم 0.5",
-    "External Image Masking": "تقنيع الصور الخارجي",
-    "img2img alternative test": "صورة لصورة البديلة",
-    "Loopback": "الحلقة الراجعة",
-    "Outpainting mk2": "الرسم الخارجي نسخة 2",
-    "Poor man's outpainting": "الرسم الخارجي للفقراء",
-    "SD upscale": "ترقية الانتشار المستقر",
-    "txt2mask v0.1.1": "نص لقناع 0.1.1",
-    "[C] Video to video": "فيديو لفيديو",
-    "Videos": "فيديوهات",
-    "Render these video formats:": "رسم تنسيقات الفيديو:",
-    "GIF": "GIF",
-    "MP4": "MP4",
-    "WEBM": "WEBM",
-    "Animation Parameters": "متغيرات تحريك الرسوم",
-    "Total Animation Length (s)": "المدة الكلية للرسوم المتحركة",
-    "Framerate": "Framerate",
-    "Add_Noise": "Add_Noise",
-    "Noise Strength": "Noise Strength",
-    "Denoising_Decay": "Denoising_Decay",
-    "Denoising Decay Rate": "Denoising Decay Rate",
-    "Initial Parameters": "Initial Parameters",
-    "Denoising Strength (overrides img2img slider)": "Denoising Strength (overrides img2img slider)",
-    "Zoom Factor (scale/s)": "Zoom Factor (scale/s)",
-    "X Pixel Shift (pixels/s)": "X Pixel Shift (pixels/s)",
-    "Y Pixel Shift (pixels/s)": "Y Pixel Shift (pixels/s)",
-    "Prompt Template, applied to each keyframe below": "Prompt Template, applied to each keyframe below",
-    "Positive Prompts": "Positive Prompts",
-    "Negative Prompts": "Negative Prompts",
-    "Keyframe Format:": "Keyframe Format:",
-    "Time (s) | Desnoise | Zoom (/s) | X Shift (pix/s) | Y shift (pix/s) | Positive Prompts | Negative Prompts | Seed": "Time (s) | Desnoise | Zoom (/s) | X Shift (pix/s) | Y shift (pix/s) | Positive Prompts | Negative Prompts | Seed",
-    "Keyframes:": "Keyframes:",
-    "Rotation (deg/s)": "Rotation (deg/s)",
-    "Props": "Props",
-    "Folder:": "Folder:",
-    "Supported Keyframes:": "Supported Keyframes:",
-    "time_s | prompt | positive_prompts | negative_prompts": "time_s | prompt | positive_prompts | negative_prompts",
-    "time_s | transform | zoom | x_shift | y_shift | rotation": "time_s | transform | zoom | x_shift | y_shift | rotation",
-    "time_s | seed | new_seed_int": "time_s | seed | new_seed_int",
-    "time_s | denoise | denoise_value": "time_s | denoise | denoise_value",
-    "time_s | prop | prop_filename | x_pos | y_pos | scale | rotation": "time_s | prop | prop_filename | x_pos | y_pos | scale | rotation",
-    "time_s | set_text | textblock_name | text_prompt | x | y | fore_R | fore_G | fore_B | back_R | back_G | back_B | font_name | font_size": "time_s | set_text | textblock_name | text_prompt | x | y | fore_R | fore_G | fore_B | back_R | back_G | back_B | font_name | font_size",
-    "time_s | clear_text | textblock_name": "time_s | clear_text | textblock_name",
-    "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation": "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation",
-    "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation": "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation",
-    "time_s | clear_stamp | stamp_name": "time_s | clear_stamp | stamp_name",
-    "time_s | col_set": "time_s | col_set",
-    "time_s | col_clear": "time_s | col_clear",
-    "time_s | model | 2022-10-19T08-10-53_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-19T09-06-28_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-20T10-07-46_Zori_New_20_training_images_2020_max_training_steps_ZZ_W_token_woman_class_word, 2022-10-20T10-39-38_Zori_New_20_training_images_1010_max_training_steps_ZZ_W_token_woman_class_word, HD-16, L, L2_1, L2_2, LM, MT_V, Main+Trinart, Z1, Z2, model, modelZ, nai, robo-diffusion-v1, sd-v1-5-inpainting, trinart2_step115000, v1-5-pruned, v1-5-pruned-emaonly, wd-v1-2-full-ema, wd-v1-3-float16": "time_s | model | 2022-10-19T08-10-53_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-19T09-06-28_VV_6_training_images_1212_max_training_steps_VV_V_token_woman_class_word, 2022-10-20T10-07-46_Zori_New_20_training_images_2020_max_training_steps_ZZ_W_token_woman_class_word, 2022-10-20T10-39-38_Zori_New_20_training_images_1010_max_training_steps_ZZ_W_token_woman_class_word, HD-16, L, L2_1, L2_2, LM, MT_V, Main+Trinart, Z1, Z2, model, modelZ, nai, robo-diffusion-v1, sd-v1-5-inpainting, trinart2_step115000, v1-5-pruned, v1-5-pruned-emaonly, wd-v1-2-full-ema, wd-v1-3-float16",
-    "Click here after the generation to show the video": "Click here after the generation to show the video",
-    "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha": "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha",
-    "Original Deforum Github repo  github.com/deforum/stable-diffusion": "Original Deforum Github repo  github.com/deforum/stable-diffusion",
-    "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui": "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui",
-    "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions": "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions",
-    "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit": "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit",
-    "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing": "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing",
-    "Keyframes": "Keyframes",
-    "Init": "Init",
-    "Video output": "Video output",
-    "Run settings": "Run settings",
-    "Import settings from file": "Import settings from file",
-    "Override settings": "Override settings",
-    "Custom settings file": "Custom settings file",
-    "Sampling settings": "Sampling settings",
-    "The following settings have already been set up in the webui": "The following settings have already been set up in the webui",
-    "Do you want to override them with the values above?": "Do you want to override them with the values above?",
-    "FIXME! Need to make deforum <-> webui samplers map. Before that, the sampler gets used from webui anyway. If your images are changing too adruptly, lower steps or increase strength schedule!": "FIXME! Need to make deforum <-> webui samplers map. Before that, the sampler gets used from webui anyway. If your images are changing too adruptly, lower steps or increase strength schedule!",
-    "override_these_with_webui": "override_these_with_webui",
-    "W, H, seed, sampler, steps, scale, ddim_eta, n_batch, make_grid, grid_rows": "W, H, seed, sampler, steps, scale, ddim_eta, n_batch, make_grid, grid_rows",
-    "W": "W",
-    "H": "H",
-    "seed": "seed",
-    "sampler": "sampler",
-    "klms": "klms",
-    "dpm2": "dpm2",
-    "dpm2_ancestral": "dpm2_ancestral",
-    "heun": "heun",
-    "euler": "euler",
-    "euler_ancestral": "euler_ancestral",
-    "plms": "plms",
-    "ddim": "ddim",
-    "steps": "steps",
-    "scale": "scale",
-    "ddim_eta": "ddim_eta",
-    "n_batch": "n_batch",
-    "make_grid": "make_grid",
-    "grid_rows": "grid_rows",
-    "save_settings": "save_settings",
-    "save_samples": "save_samples",
-    "display_samples": "display_samples",
-    "save_sample_per_step": "save_sample_per_step",
-    "show_sample_per_step": "show_sample_per_step",
-    "Batch settings": "Batch settings",
-    "batch_name": "batch_name",
-    "filename_format": "filename_format",
-    "seed_behavior": "seed_behavior",
-    "iter": "iter",
-    "fixed": "fixed",
-    "random": "random",
-    "schedule": "schedule",
-    "Animation settings": "Animation settings",
-    "animation_mode": "animation_mode",
-    "2D": "2D",
-    "3D": "3D",
-    "Video Input": "Video Input",
-    "max_frames": "max_frames",
-    "border": "border",
-    "replicate": "replicate",
-    "wrap": "wrap",
-    "Motion parameters:": "Motion parameters:",
-    "2D and 3D settings": "2D and 3D settings",
-    "angle": "angle",
-    "zoom": "zoom",
-    "translation_x": "translation_x",
-    "translation_y": "translation_y",
-    "3D settings": "3D settings",
-    "translation_z": "translation_z",
-    "rotation_3d_x": "rotation_3d_x",
-    "rotation_3d_y": "rotation_3d_y",
-    "rotation_3d_z": "rotation_3d_z",
-    "Prespective flip — Low VRAM pseudo-3D mode:": "Prespective flip — Low VRAM pseudo-3D mode:",
-    "flip_2d_perspective": "flip_2d_perspective",
-    "perspective_flip_theta": "perspective_flip_theta",
-    "perspective_flip_phi": "perspective_flip_phi",
-    "perspective_flip_gamma": "perspective_flip_gamma",
-    "perspective_flip_fv": "perspective_flip_fv",
-    "Generation settings:": "Generation settings:",
-    "noise_schedule": "noise_schedule",
-    "strength_schedule": "strength_schedule",
-    "contrast_schedule": "contrast_schedule",
-    "cfg_scale_schedule": "cfg_scale_schedule",
-    "To enable seed schedule select seed behavior — 'schedule'": "To enable seed schedule select seed behavior — 'schedule'",
-    "seed_schedule": "seed_schedule",
-    "Coherence:": "Coherence:",
-    "color_coherence": "color_coherence",
-    "Match Frame 0 HSV": "Match Frame 0 HSV",
-    "Match Frame 0 LAB": "Match Frame 0 LAB",
-    "Match Frame 0 RGB": "Match Frame 0 RGB",
-    "diffusion_cadence": "diffusion_cadence",
-    "3D Depth Warping:": "3D Depth Warping:",
-    "use_depth_warping": "use_depth_warping",
-    "midas_weight": "midas_weight",
-    "near_plane": "near_plane",
-    "far_plane": "far_plane",
-    "fov": "fov",
-    "padding_mode": "padding_mode",
-    "reflection": "reflection",
-    "zeros": "zeros",
-    "sampling_mode": "sampling_mode",
-    "bicubic": "bicubic",
-    "bilinear": "bilinear",
-    "nearest": "nearest",
-    "save_depth_maps": "save_depth_maps",
-    "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)": "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)",
-    "*Important change from vanilla Deforum!*": "*Important change from vanilla Deforum!*",
-    "This script uses the built-in webui weighting settings.": "This script uses the built-in webui weighting settings.",
-    "So if you want to use math functions as prompt weights,": "So if you want to use math functions as prompt weights,",
-    "keep the values above zero in both parts": "keep the values above zero in both parts",
-    "Negative prompt part can be specified with --neg": "Negative prompt part can be specified with --neg",
-    "batch_prompts (disabled atm)": "batch_prompts (disabled atm)",
-    "animation_prompts": "animation_prompts",
-    "Init settings": "Init settings",
-    "use_init": "use_init",
-    "from_img2img_instead_of_link": "from_img2img_instead_of_link",
-    "strength_0_no_init": "strength_0_no_init",
-    "strength": "strength",
-    "init_image": "init_image",
-    "use_mask": "use_mask",
-    "use_alpha_as_mask": "use_alpha_as_mask",
-    "invert_mask": "invert_mask",
-    "overlay_mask": "overlay_mask",
-    "mask_file": "mask_file",
-    "mask_brightness_adjust": "mask_brightness_adjust",
-    "mask_overlay_blur": "mask_overlay_blur",
-    "Video Input:": "Video Input:",
-    "video_init_path": "video_init_path",
-    "extract_nth_frame": "extract_nth_frame",
-    "overwrite_extracted_frames": "overwrite_extracted_frames",
-    "use_mask_video": "use_mask_video",
-    "video_mask_path": "video_mask_path",
-    "Interpolation (turned off atm)": "Interpolation (turned off atm)",
-    "interpolate_key_frames": "interpolate_key_frames",
-    "interpolate_x_frames": "interpolate_x_frames",
-    "Resume animation:": "Resume animation:",
-    "resume_from_timestring": "resume_from_timestring",
-    "resume_timestring": "resume_timestring",
-    "Video output settings": "Video output settings",
-    "skip_video_for_run_all": "skip_video_for_run_all",
-    "fps": "fps",
-    "output_format": "output_format",
-    "PIL gif": "PIL gif",
-    "FFMPEG mp4": "FFMPEG mp4",
-    "ffmpeg_location": "ffmpeg_location",
-    "add_soundtrack": "add_soundtrack",
-    "soundtrack_path": "soundtrack_path",
-    "use_manual_settings": "use_manual_settings",
-    "render_steps": "render_steps",
-    "max_video_frames": "max_video_frames",
-    "path_name_modifier": "path_name_modifier",
-    "x0_pred": "x0_pred",
-    "x": "x",
-    "image_path": "image_path",
-    "mp4_path": "mp4_path",
-    "Masking preview size": "Masking preview size",
-    "Draw new mask on every run": "Draw new mask on every run",
-    "Process non-contigious masks separately": "Process non-contigious masks separately",
-    "should be 2 or lower.": "should be 2 or lower.",
-    "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
-    "Original prompt": "Original prompt",
-    "Original negative prompt": "Original negative prompt",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
-    "Decode steps": "Decode steps",
-    "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
-    "Decode CFG scale": "Decode CFG scale",
-    "Randomness": "Randomness",
-    "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
-    "Loops": "Loops",
-    "Denoising strength change factor": "معامل قوة تقليل الضوضاء",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "الإعدادات الموصى بها: خطوات أخذ العينات: 80-100 ، طريقة أخذ العينات: Euler a ، تقليل الضوضاء: 0.8",
-    "Pixels to expand": "عدد البكسل للتوسيع",
-    "Outpainting direction": "إتجاه الرسم الخارجي",
-    "left": "يسار",
-    "right": "يمين",
-    "up": "فوق",
-    "down": "تحت",
-    "Fall-off exponent (lower=higher detail)": "أس التناقص (الأدنى = تفاصيل أعلى)",
-    "Color variation": "اختلاف اللون",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيقوم بترقية الصورة إلى ضعف الأبعاد ؛ استخدم شريط تمرير العرض والارتفاع لضبط حجم التبليط",
-    "Tile overlap": "تداخل التبليط",
-    "Upscaler": "المرقي",
-    "Lanczos": "Lanczos",
-    "LDSR": "LDSR",
-    "ESRGAN 4x": "ESRGAN 4x",
-    "R-ESRGAN General 4xV3": "R-ESRGAN General 4xV3",
-    "R-ESRGAN General WDN 4xV3": "R-ESRGAN General WDN 4xV3",
-    "R-ESRGAN AnimeVideo": "R-ESRGAN AnimeVideo",
-    "R-ESRGAN 4x+": "R-ESRGAN 4x+",
-    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
-    "R-ESRGAN 2x+": "R-ESRGAN 2x+",
-    "ScuNET GAN": "ScuNET GAN",
-    "ScuNET PSNR": "ScuNET PSNR",
-    "SwinIR_4x": "SwinIR_4x",
-    "Mask prompt": "Mask prompt",
-    "Negative mask prompt": "Negative mask prompt",
-    "Mask precision": "Mask precision",
-    "Mask padding": "Mask padding",
-    "Brush mask mode": "Brush mask mode",
-    "discard": "discard",
-    "add": "add",
-    "subtract": "subtract",
-    "Show mask in output?": "Show mask in output?",
-    "If you like my work, please consider showing your support on": "If you like my work, please consider showing your support on",
-    "Patreon": "Patreon",
-    "Input file path": "Input file path",
-    "CRF (quality, less is better, x264 param)": "CRF (quality, less is better, x264 param)",
-    "FPS": "FPS",
-    "Seed step size": "Seed step size",
-    "Seed max distance": "Seed max distance",
-    "Start time": "Start time",
-    "End time": "End time",
-    "End Prompt Blend Trigger Percent": "End Prompt Blend Trigger Percent",
-    "Prompt end": "Prompt end",
-    "Smooth video": "Smooth video",
-    "Seconds": "Seconds",
-    "Zoom": "Zoom",
-    "Zoom level": "Zoom level",
-    "Direction X": "Direction X",
-    "Direction Y": "Direction Y",
-    "Rotate": "Rotate",
-    "Degrees": "Degrees",
-    "Is the Image Tiled?": "Is the Image Tiled?",
-    "TranslateX": "TranslateX",
-    "Left": "Left",
-    "PercentX": "PercentX",
-    "TranslateY": "TranslateY",
-    "Up": "Up",
-    "PercentY": "PercentY",
-    "Show generated pictures in ui": "عرض الصور المنشئة في واجهة الاستخدام",
-    "Single Image": "صورة واحدة",
-    "Batch Process": "معالجة الدفعات",
-    "Batch from Directory": "دفعة من المجلد",
-    "Source": "مصدر",
-    "Show result images": "إظهار نتائج الصور ",
-    "Scale by": "رفع الحجم بمقدار",
-    "Scale to": "رفع الحجم إلى",
-    "Resize": "تغيير الحجم",
-    "Crop to fit": "اقتصاص للتوافق",
-    "Upscaler 2 visibility": "إظهار المرقي 2",
-    "GFPGAN visibility": "إظهار GFPGAN",
-    "CodeFormer visibility": "إظهار CodeFormer",
-    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (0 = أقصى تأثير ، 1 = تأثير أدنى)",
-    "Open output directory": "افتح مجلد المخرجات",
-    "Send to txt2img": "أرسل إلى كتابة لصورة",
-    "extras": "إضافات",
-    "favorites": "المفضلة",
-    "Load": "تحميل",
-    "Images directory": "مجلد الصور",
-    "Prev batch": "الدفعة السابقة",
-    "Next batch": "الدفعة التالية",
-    "First Page": "الصفحة الأولى",
-    "Prev Page": "الصفحة السابقة",
-    "Page Index": "فهرس الصفحات",
-    "Next Page": "الصفحة التالية",
-    "End Page": "صفحة النهاية",
-    "number of images to delete consecutively next": "عدد الصور المطلوب حذفها على التوالي بعد ذلك",
-    "Delete": "حذف",
-    "Generate Info": "معلومات الإنشاء",
-    "File Name": "اسم الملف",
-    "Collect": "جمع",
-    "Refresh page": "إعادة تحميل الصفحة",
-    "Date to": "التاريخ إلى",
-    "Number": "الرقم",
-    "set_index": "وضع الفهرس",
-    "Checkbox": "صندوق اختيار",
-    "A merger of the two checkpoints will be generated in your": "سيتم إنشاء نموذجمدمج من النموذجين في",
-    "checkpoint": "النموذج",
-    "directory.": "المجلد.",
-    "Primary model (A)": "النموذج الأساسي (أ)",
-    "Secondary model (B)": "النموذج الثانوي (ب)",
-    "Tertiary model (C)": "النموذج الثالث (ج)",
-    "Custom Name (Optional)": "اسم مخصص (اختياري)",
-    "Multiplier (M) - set to 0 to get model A": "المضاعف (M) - اضبط على 0 للحصول على النموذج أ",
-    "Interpolation Method": "طريقة الاستنباط",
-    "Weighted sum": "المجموع الموزون",
-    "Add difference": "أضافة الاختلاف",
-    "Save as float16": "حفظ  float16",
-    "See": "شاهد",
-    "wiki": "ويكي",
-    "for detailed explanation.": "للحصول على شرح مفصل.",
-    "Create embedding": "إنشاء التضمين",
-    "Create hypernetwork": "إنشاء شبكة فائقة",
-    "Preprocess images": "تجهيز الصور",
-    "Name": "الاسم",
-    "Initialization text": "نص التهيئة",
-    "Number of vectors per token": "عدد المتجهات لكل رمز",
-    "Overwrite Old Embedding": "الكتابة فوق التضمين القديم",
-    "Modules": "الوحدات",
-    "Enter hypernetwork layer structure": "أدخل بنية طبقة الشبكة الفائقة",
-    "Select activation function of hypernetwork": "حدد وظيفة تنشيط الشبكة الفائقة",
-    "linear": "خطي (Linear)",
-    "relu": "الوحدة الخطية المعدلة (Relu)",
-    "leakyrelu": "الوحدة الخطية المعدلة المسربة (Leakyrelu)",
-    "elu": "الوحدة الأسية الخطية (Elu)",
-    "swish": "Swish",
-    "Add layer normalization": "أضف طبقة التسوية",
-    "Use dropout": "استخدم الهبوط",
-    "Overwrite Old Hypernetwork": "الكتابة فوق الشبكة الفائقة القديمة",
-    "Source directory": "مجلد المصدر",
-    "Destination directory": "مجلد النتائج",
-    "Existing Caption txt Action": "الإجراء النصي للتعليق المتوفر",
-    "ignore": "تجاهل",
-    "copy": "نسخ",
-    "prepend": "أضف قبل",
-    "append": "ألحق",
-    "Create flipped copies": "قم بإنشاء نسخ مقلوبة",
-    "Split oversized images": "تقسيم الصور كبيرة الحجم",
-    "Use BLIP for caption": "استخدم BLIP للتعليق",
-    "Use deepbooru for caption": "استخدم deepbooru للتعليق",
-    "Split image threshold": "حد تقسيم الصورة",
-    "Split image overlap ratio": "نسبة تداخل الصورة المنقسمة",
-    "Preprocess": "تجهيز الصور",
-    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "تدريب التضمين أو الشبكة الفائقة ؛ يجب تحديد مجلد بمجموعة من الصور بنسبة أبعاد 1: 1",
-    "[wiki]": "[ويكي]",
-    "Embedding": "التضمين",
-    "Embedding Learning rate": "معدل تعلم التضمين",
-    "Hypernetwork Learning rate": "معدل تعلم الشبكة الفائقة",
-    "Dataset directory": "مجلد مجموعة البيانات",
-    "Log directory": "مجلد السجل",
-    "Prompt template file": "ملف قالب الموجهات",
-    "Max steps": "الخطوات القصوى",
-    "Save an image to log directory every N steps, 0 to disable": "حفظ صورة في مجلد السجل  كل N خطوات ، 0 للتعطيل",
-    "Save a copy of embedding to log directory every N steps, 0 to disable": "حفظ نسخة من التضمين في مجلد السجل كل N خطوات ، 0 للتعطيل",
-    "Save images with embedding in PNG chunks": "حفظ التضمين مع الصور في أجزاء PNG",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "قراءة المتغيرات (الموجه ، إلخ ...) من علامة تبويب نص لصورة عند إجراء المعاينات",
-    "Train Hypernetwork": "تدريب الشبكة الفائقة",
-    "Train Embedding": "تدريب التضمين",
-    "Apply settings": "تطبيق الإعدادات",
-    "Saving images/grids": "حفظ الصور / الإطار الشبكي",
-    "Always save all generated images": "احفظ دائمًا جميع الصور التي تم إنشائها",
-    "File format for images": "تنسيق ملفات الصور",
-    "Images filename pattern": "نمط اسم ملفات الصور",
-    "Always save all generated image grids": "احفظ دائمًا جميع الإطارات الشبكية للصور التي تم إنشاؤها",
-    "File format for grids": "تنسيق ملفات الإطارات الشبكية",
-    "Add extended info (seed, prompt) to filename when saving grid": "أضف معلومات إضافية (البذرة ، الموجه) إلى اسم الملف عند حفظ الإطار الشبكي",
-    "Do not save grids consisting of one picture": "لا تحفظ الإطارات الشبكية التي تتكون من صورة واحدة",
-    "Prevent empty spots in grid (when set to autodetect)": "منع المناطق الفارغة في الإطار الشبكي (عند الضبط على الاكتشاف التلقائي)",
-    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف الإطار الشبكي استخدم -1 للاكتشاف التلقائي و 0 ليكون نفس حجم الدُفعة",
-    "Save text information about generation parameters as chunks to png files": "احفظ معلومات نصية حول متغيرات الإنشاء كمقاطع في ملفات png",
-    "Create a text file next to every image with generation parameters.": "قم بإنشاء ملف نصي بجوار كل صورة باستخدام متغيرات الإنشاء.",
-    "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل القيام بترميم الوجوه.",
-    "Quality for saved jpeg images": "جودة الصور المحفوظة بتنسيق jpeg",
-    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كانت صورة PNG أكبر من 4 ميجابايت أو كان أي بُعد أكبر من 4000 ، قم بتقليل حجم الصورة وحفظها بتنسيق JPG",
-    "Use original name for output filename during batch process in extras tab": "استخدم الاسم الأصلي لاسم ملف الإخراج أثناء عملية الدُفعات في علامة تبويب الإضافات",
-    "When using 'Save' button, only save a single selected image": "عند استخدام زر 'حفظ' ، احفظ فقط صورة واحدة محددة",
-    "Do not add watermark to images": "لا تقم بإضافة العلامة المائية للصور",
-    "Paths for saving": "مسارات الحفظ",
-    "Output directory for images; if empty, defaults to three directories below": "مجلد المخرجات للصور ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدات الثلاثة أدناه",
-    "Output directory for txt2img images": "مجلد المخرجات لصور نص لصورة",
-    "Output directory for img2img images": "مجلد المخرجات لصور صورة لصورة",
-    "Output directory for images from extras tab": "مجلد المخرجات لصور علامة تبويب الإضافات",
-    "Output directory for grids; if empty, defaults to two directories below": "مجلد المخرجات للإطارات الشبكية ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدين أدناه",
-    "Output directory for txt2img grids": "مجلد المخرجات للإطارات الشبكية نص لصورة",
-    "Output directory for img2img grids": "مجلد المخرجات للإطارات الشبكية صورة لصورة",
-    "Directory for saving images using the Save button": "مجلد لحفظ الصور باستخدام زر حفظ",
-    "Saving to a directory": "يتم الحفظ إلى المجلد..",
-    "Save images to a subdirectory": "حفظ الصور في مجلد فرعي",
-    "Save grids to a subdirectory": "حفظ الإطارات الشبكية في مجلد فرعي",
-    "When using 'Save' button, save images to a subdirectory": "عند استخدام زر 'حفظ' ، احفظ الصور في مجلد فرعي",
-    "Directory name pattern": "نمط اسم المجلد",
-    "Max prompt words for [prompt_words] pattern": "أقصى عدد لكلمات التوجيه لنمط [كلمات_التوجيه]",
-    "Upscaling": "الارتقاء",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم التبليط لترقيات ESRGAN, القيمة 0= لا يوجد تبليط.",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل المربعات ، بالبكسل لمرقي ESRGAN. القيم المنخفضة = تداخل مرئي.",
-    "Tile size for all SwinIR.": "حجم التليط لجميع عمليات SwinIR.",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل المربعات بالبكسل لـ SwinIR. القيم المنخفضة = تداخل مرئي.",
-    "LDSR processing steps. Lower = faster": "خطوات معالجة LDSR. أقل = أسرع",
-    "Upscaler for img2img": "المرقي لصورة لصورة",
-    "Upscale latent space image when doing hires. fix": "ترقية صورة الفضاء الكامن عند التعيينات. تصليح",
-    "Face restoration": "ترميم الوجوه",
-    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "متغيرات وزن CodeFormer ؛ 0 = أقصى تأثير ؛ 1 = الحد الأدنى من التأثير",
-    "Move face restoration model from VRAM into RAM after processing": "انقل نموذج استعادة الوجوه من VRAM إلى RAM بعد المعالجة",
-    "System": "نظام",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "استطلاعات استخدام VRAM في الثانية أثناء الإنشاء. اضبط على 0 للتعطيل.",
-    "Always print all generation info to standard output": "قم دائمًا بطباعة جميع معلومات الإنشاء إلى المخرج القياسي",
-    "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم آخر إلى وحدة التحكم يُظهر التدقم الكلي للمهمة.",
-    "Training": "التدريب",
-    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "تفريغ VAE و CLIP من VRAM عند التدريب",
-    "Filename word regex": "اسم ملف كلمات regex",
-    "Filename join string": "سلسلة أحرف دمج أسماء الملفات",
-    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد التكرارات لصورة إدخال واحدة لكل حقبة ؛ تستخدم فقط لعرض رقم الحقبة",
-    "Save an csv containing the loss to log directory every N steps, 0 to disable": "حفظ ملف csv يحتوي على الخسارة إلى مجلد السجل كل N خطوات ، 0 للتعطيل",
-    "Stable Diffusion": "انتشار مستقر",
-    "Checkpoints to cache in RAM": "التخزين المؤقت للنماذج في RAM",
-    "Hypernetwork strength": "قوة الشبكة الفائقة",
-    "Apply color correction to img2img results to match original colors.": "قم بتطبيق تصحيح الألوان على نتائج صورة لصورة لمطابقة الألوان الأصلية.",
-    "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصورة قبل تطبيق تصحيح الألوان على نتائج  صورة لصورة",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "باستخدام صورة لصورة ، قم بالضبط بعدد الخطوات التي يحددها شريط التمرير (عادةً ما سيكون أقل مع تقليل التشويش).",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "تمكين تكميم عينات K للحصول على نتائج أوضح وأنظف. هذا قد يغير البذرة المستخدمة. يتطلب إعادة التشغيل للتطبيق.",
-    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "التأكيد: استخدم (النص) لجعل النموذج يولي مزيدًا من الاهتمام للنص و استخدم [النص] لجعل النموذج يولي اهتمامًا أقل  للنص",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم طريقة التأكيد القديمة. يمكن أن يكون مفيدًا لإعادة إنتاج البذور القديمة.",
-    "Make K-diffusion samplers produce same images in a batch as when making a single image": "اجعل انظمة أخذ عينات الانتشار K تنتج نفس الصور في الدفعات كما هو الحال عند إنشاء صورة واحدة",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "زيادة التناسق عن طريق المساحة المتروكة من الفاصلة الأخيرة ضمن عدد n من الرموز المميزة عند استخدام أكثر من 75 رمزًا مميزًا",
-    "Filter NSFW content": "تصفية المحتوى الإباحي",
-    "Stop At last layers of CLIP model": "توقف عند آخر طبقات نموذج CLIP",
-    "Interrogate Options": "خيارات الاستجواب",
-    "Interrogate: keep models in VRAM": "الاستجواب: احتفظ بالنماذج في VRAM",
-    "Interrogate: use artists from artists.csv": "الاستجواب: استخدم  قائمة الفنانين من ملف artists.csv",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "الاستجواب: قم بتضمين رتب علامات النموذج في النتائج (ليس له تأثير على الاستجواب المستند إلى التعليقات).",
-    "Interrogate: num_beams for BLIP": "الاستجواب: عدد الحزم لـ BLIP",
-    "Interrogate: minimum description length (excluding artists, etc..)": "الاستجواب: الحد الأدنى لطول الوصف (باستثناء الفنانين ،إلخ..)",
-    "Interrogate: maximum description length": "الاستجواب: الحد الأقصى لطول الوصف",
-    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: أقصى عدد من الأسطر في الملف النصي (0 = بلا حدود)",
-    "Interrogate: deepbooru score threshold": "الاستجواب: عتبة درجات deepbooru",
-    "Interrogate: deepbooru sort alphabetically": "الاستجواب: الترتيب الأبجدي لـ deepbooru",
-    "use spaces for tags in deepbooru": "استخدام مسافات للعلامات في deepbooru",
-    "User interface": "واجهة المستخدم",
-    "Show progressbar": "إظهار شريط التقدم",
-    "Show image creation progress every N sampling steps. Set 0 to disable.": "إظهار تقدم إنشاء الصورة لكل N خطوة من خطوات أخذ العينات. قم بتعيين 0 للتعطيل.",
-    "Show previews of all images generated in a batch as a grid": "إظهار معاينة لجميع الصور التي يتم إنشائها في الدفعة كإطار شبكي",
-    "Show grid in results for web": "إظهار الإطار الشبكي في نتائج الويب",
-    "Do not show any images in results for web": "لا تظهر أي صور في نتائج الويب",
-    "Add model hash to generation information": "أضف معلومات الهاش للنموذج إلى معلومات الإنشاء",
-    "Add model name to generation information": "أضف اسم النموذج إلى معلومات الإنشاء",
-    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "عند قراءة متغيرات الإنشاء من النص إلى واجهة المستخدم (من معلومات PNG أو النص الملصق) ، لا تقم بتغيير النموذج",
-    "Font for image grids that have text": "الخط المستخدم للإطارات الشبكية للصور التي تحتوي على نص",
-    "Enable full page image viewer": "تفعيل عارض الصور ذو الصفحة الكاملة",
-    "Show images zoomed in by default in full page image viewer": "إظهار الصور التي تم تكبيرها بشكل افتراضي في عارض الصور ذو الصفحة الكاملة",
-    "Show generation progress in window title.": "إظهار تقدم الإنشاء في عنوان الشاشة.",
-    "Quicksettings list": "قائمة الإعدادات السريعة",
-    "Localization (requires restart)": "الترجمة (يتطلب إعادة التشغيل)",
-    "ar_AR": "العربية",
-    "ja_JP": "اليابانية",
-    "ru_RU": "الروسية",
-    "Sampler parameters": "متغيرات أنظمة اخذ العينات",
-    "Hide samplers in user interface (requires restart)": "إخفاء أنظمة أخذ العينات في واجهة المستخدم (يتطلب إعادة التشغيل)",
-    "eta (noise multiplier) for DDIM": "الوقت المتبقي (مضاعف الضوضاء) لـ DDIM",
-    "eta (noise multiplier) for ancestral samplers": "الوقت المتبقي (مضاعف الضوضاء) لأنظمة أخذ العينات التي تعتمد على الأجداد",
-    "img2img DDIM discretize": "تفصل DDIM لصورة لصورة",
-    "uniform": "التوحيد",
-    "quad": "رباعية",
-    "sigma churn": "دفع سيجما",
-    "sigma tmin": "سيجما tmin",
-    "sigma noise": "ضجيج سيجما",
-    "Eta noise seed delta": "الوقت المتوقع لديلتا بذرة الضجيج ",
-    "Images Browser": "مستعرض الصور",
-    "Preload images at startup": "تحميل الصور مسبقًا عند بدء التشغيل",
-    "Number of pictures displayed on each page": "عدد الصور المعروضة في كل صفحة",
-    "Minimum number of pages per load": "الحد الأدنى لعدد الصفحات لكل تحميل",
-    "Number of grids in each row": "عدد الإطارات الشبكية لكل صف",
-    "Request browser notifications": "طلب إشعارات المتصفح",
-    "Download localization template": "تنزيل نموذج الترجمة",
-    "Reload custom script bodies (No ui updates, No restart)": "إعادة تحميل السكريبتات المخصصة (لا توجد تحديثات لواجهة المستخدم ، لا إعادة تشغيل)",
-    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعادة تشغيل  Gradio و تحديث مكونات واجهة الاستخدام (السكريبتات و ui.py و js و css فقط)",
-    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
-    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه السلبي (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
-    "Add a random artist to the prompt.": "أضف فنانًا عشوائيًا إلى الموجه.",
-    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "قراءة متغيرات الإنشاء من الموجه أو الإنشاء الأخير إذا كان الموجه فارغا في واجهة المستخدم.",
-    "Save style": "حفظ النمط",
-    "Apply selected styles to current prompt": "تطبيق الأنماط المحددة للموجه الحالي",
-    "Stop processing current image and continue processing.": "توقف عن معالجة الصورة الحالية واستمر في المعالجة.",
-    "Stop processing images and return any results accumulated so far.": "توقف عن معالجة الصور وقم بإرجاع أي نتائج متراكمة حتى الآن.",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "النمط المطلوب تطبيقه ؛ الأنماط لها مكونات لكل من الموجهات الإيجابية والسلبية وتنطبق على كليهما",
-    "Do not do anything special": "لا تفعل أي شيء خاص",
-    "Which algorithm to use to produce the image": "الخوارزمية التي يجب استخدامها لإنتاج الصورة",
-    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - مبدع جدًا ، يمكن لكل منها الحصول على صورة مختلفة تمامًا اعتمادًا على عدد الخطوات ، تعيين الخطوات على أعلى من 30-40 لا يعطي نتيجة مفيدة",
-    "Denoising Diffusion Implicit Models - best at inpainting": "نماذج تقليل التشويش الضمني  - أفضل اسخدام في الرسم الجزئي",
-    "Produce an image that can be tiled.": "أنتج صورة يمكن تبليطها.",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "استخدم عملية من خطوتين لإنشاء صورة جزئيًا بدقة أقل ثم ترقيتها و تحسين تفاصيلها دون تغيير التكوين",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "يحدد مدى ضآلة احترام الخوارزمية لمحتوى الصورة. عند 0 ، لن يتغير شيء ، وعند 1 ستحصل على صورة لا صلة لها بالصورة الأصلية. مع وجود قيم أقل من 1.0 ، المعالجة ستأخذ خطوات أقل مما يحدده شريط تمرير خطوات المعالجة.",
-    "How many batches of images to create": "كم عدد دفعات الصور التي يتم إنشائها",
-    "How many image to create in a single batch": "كم صورة يتم إنشائها دفعة واحدة",
-    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "مقياس التوجيه الحر للمصنف - إلى أي مدى يجب أن تتوافق الصورة مع الموجه - القيم المنخفضة تنتج نتائج أكثر إبداعًا",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "القيمة التي تحدد ناتج منشئ الأرقام العشوائية - إذا قمت بإنشاء صورة بنفس المتغيرات و بذرة الصورة ، فستحصل على نفس النتيجة",
-    "Set seed to -1, which will cause a new random number to be used every time": "عيّن البذرة إلى -1 ، مما سيؤدي إلى استخدام رقم عشوائي جديد في كل مرة",
-    "Reuse seed from last generation, mostly useful if it was randomed": "إعادة استخدام البذرة من الإنشاء الأخير ، وتكون مفيدة في الغالب إذا كانت عشوائية",
-    "Seed of a different picture to be mixed into the generation.": "استخدام بذرة من صورة مختلفة ليتم مزجها في الإنشاء.",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "ما مدى قوة التباين عند الإنشاء. 0 ، لن يكون هناك أي تأثير. 1 ، ستحصل على الصورة الكاملة ببذور التباين (باستثناء أنظمة عينات الأسلاف ، حيث ستحصل على شيء ما فقط).",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "قم بمحاولة لإنتاج صورة مشابهة لما تم إنتاجه بنفس البذرة بناءا على دقة محددة",
-    "Separate values for X axis using commas.": "افصل بين قيم المحور X باستخدام الفواصل.",
-    "Separate values for Y axis using commas.": "افصل بين قيم المحور Y باستخدام الفواصل.",
-    "Write image to a directory (default - log/images) and generation parameters into csv file.": "اكتب الصورة إلى مجلد (الافتراضي -  log/images) وتوليد المتغيرات في ملف csv.",
-    "Open images output directory": "افتح مجلد مخرجات الصور",
-    "How much to blur the mask before processing, in pixels.": "كم يتم تضبيب القناع قبل المعالجة ، بالبكسل.",
-    "What to put inside the masked area before processing it with Stable Diffusion.": "ما يجب وضعه داخل المنطقة المقنعة قبل معالجتها باستخدام الانتشار المستقر.",
-    "fill it with colors of the image": "املأها بألوان الصورة",
-    "keep whatever was there originally": "احتفظ بكل ما كان هناك في الأصل",
-    "fill it with latent space noise": "املأه بضوضاء الفضاء الكامنة",
-    "fill it with latent space zeroes": "املأه بأصفار الفضاء الكامنة",
-    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "قم بترقية المنطقة المقنعة إلى الدقة المستهدفة و الرسم الجزئي ثم تقليص الحجم  واللصق في الصورة الأصلية",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "تغيير حجم الصورة إلى الدقة المستهدفة. ما لم يتطابق الطول والعرض ، ستحصل على نسبة عرض إلى ارتفاع غير صحيحة.",
-    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "قم بتغيير حجم الصورة بحيث يتم ملء الدقة المستهدفة بالكامل بالصورة. يتم قطع المناطق التي تبرز.",
-    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "قم بتغيير حجم الصورة بحيث تكون الصورة بأكملها داخل الدقة المستهدفة. املأ المساحة الفارغة بألوان الصورة.",
-    "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم تكرار معالجة صورة واستخدامها  كمدخل للتكرار التالي",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "في وضع حلقة الاسترجاع ، يتم ضرب قوة تقليل الضوضاء بهذه القيمة في كل حلقة. يعني <1 تقليل التنوع بحيث يتقارب التسلسل الخاص بك على صورة ثابتة. > 1 يعني زيادة التنوع بحيث يصبح تسلسلك أكثر وأكثر فوضوية.",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "الترقية باستخدام الانتشار المستقر ، كم يجب أن يكون مقدار التداخل بالبكسل بين المربعات. تتداخل المربعات بحيث لا يكون هناك خط واضح للعيان عند دمجها مرة أخرى في صورة واحدة.",
-    "A directory on the same machine where the server is running.": "مجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
-    "Leave blank to save images to the default path.": "اتركه فارغًا لحفظ الصور في المسار الافتراضي.",
-    "Input images directory": "مجلد الصور المدخلة",
-    "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
-    "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
-    "1st and last digit must be 1. ex:'1, 2, 1'": "يجب أن يكون الرقم الأول والأخير 1. على سبيل المثال: '1 ، 2 ، 1'",
-    "Path to directory with input images": "المسار إلى مجلد الصور المدخلة",
-    "Path to directory where to write outputs": "المسار إلى مجلد كتابة النتائج",
-    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتعريف كيفية اختيار أسماء الملفات للصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "إذا تم تمكين هذا الخيار ، فلن تتم إضافة العلامة المائية إلى الصور التي تم إنشاؤها. تحذير: إذا لم تقم بإضافة علامة مائية ، فقد تكون تتصرف بطريقة غير أخلاقية.",
-    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتحديد كيفية اختيار المجادت الفرعية للصور و الإطارات الشبكية : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
-    "Restore low quality faces using GFPGAN neural network": "ترميم الوجوه منخفضة الجودة باستخدام الشبكة العصبية GFPGAN ",
-    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "سيتم استخدام هذا التعبير العادي لاستخراج الكلمات من اسم الملف ، وسيتم ضمها باستخدام الخيار أدناه في نص التسمية المستخدم للتدريب. اتركه فارغًا للاحتفاظ بنص اسم الملف كما هو.",
-    "This string will be used to join split words into a single line if the option above is enabled.": "سيتم استخدام هذا النص لضم الكلمات المقسمة إلى سطر واحد إذا تم تمكين الخيار أعلاه.",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة أسماء الإعدادات ، مفصولة بفواصل ، للإعدادات التي يجب أن تنتقل إلى شريط الوصول السريع في الأعلى ، بدلاً من علامة تبويب الإعداد المعتادة. انظر modules / shared.py للتعرف على أسماء الإعدادات. يتطلب إعادة التشغيل للتطبيق.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "إذا كانت هذه القيم غير صفرية ، فستتم إضافتها إلى البذرة واستخدامها لتهيئة فوضى الضوضاء عند استخدام أنظمة أخذ العينات باستخدام الوقت المتبقي. يمكنك استخدام ذلك لإنتاج المزيد من التنوعات في الصور ، أو يمكنك استخدامه لمطابقة صور البرامج الأخرى إذا كنت تعرف ما تفعله."
+{
+  "rtl": true,
+  "⤡": "⤡",
+  "⊞": "⊞",
+  "×": "×",
+  "❮": "❮",
+  "❯": "❯",
+  "Loading...": "جار التحميل...",
+  "view": "معاينة",
+  "api": "api",
+  "•": "•",
+  "built with gradio": "مبني باستخدام Gradio",
+  "Stable Diffusion checkpoint": "نماذج الانتشار المستقر",
+  "txt2img": "نص لصورة",
+  "img2img": "صورة لصورة",
+  "Extras": "الإضافات",
+  "PNG Info": "معلومات PNG",
+  "Checkpoint Merger": "دمج النماذج",
+  "Train": "التدريب",
+  "Create aesthetic embedding": "Create aesthetic embedding",
+  "Image Browser": "مستعرض الصور",
+  "Settings": "الإعدادات",
+  "Prompt": "الموجه",
+  "Negative prompt": "الموجه السلبي",
+  "Run": "تشغيل",
+  "Skip": "تخطي",
+  "Interrupt": "إيقاف",
+  "Generate": "إنشاء",
+  "Style 1": "نمط 1",
+  "Style 2": "نمط 2",
+  "Label": "الوسم",
+  "File": "ملف",
+  "Drop File Here": "اسحب الملف هنا",
+  "-": "-",
+  "or": "أو",
+  "Click to Upload": "انقر للتحميل",
+  "Image": "صورة",
+  "Check progress": "تحقق من التقدم",
+  "Check progress (first)": "تحقق من التقدم (الأول)",
+  "Sampling Steps": "خطوات أخذ العينة",
+  "Sampling method": "نظام أخذ العينات",
+  "Euler a": "Euler a",
+  "Euler": "Euler",
+  "LMS": "LMS",
+  "Heun": "Heun",
+  "DPM2": "DPM2",
+  "DPM2 a": "DPM2 a",
+  "DPM fast": "DPM fast",
+  "DPM adaptive": "DPM adaptive",
+  "LMS Karras": "LMS Karras",
+  "DPM2 Karras": "DPM2 Karras",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DDIM": "DDIM",
+  "PLMS": "PLMS",
+  "Width": "العرض",
+  "Height": "الارتفاع",
+  "Restore faces": "ترميم الوجوه",
+  "Tiling": "تبليط",
+  "Highres. fix": "إصلاح الصور عالية الدقة",
+  "Firstpass width": "عرض المرور الأول",
+  "Firstpass height": "ارتفاع المرور الأول",
+  "Denoising strength": "قوة تقليل الضوضاء",
+  "Batch count": "عدد الدُفعات",
+  "Batch size": "حجم الدفعة",
+  "CFG Scale": "مقياس التقارب من الموجه (CFG)",
+  "Seed": "البذرة",
+  "Extra": "إضافي",
+  "Variation seed": "تباين البذرة",
+  "Variation strength": "قوة التباين",
+  "Resize seed from width": "تغيير حجم البذرة من العرض",
+  "Resize seed from height": "تغيير حجم البذرة من الارتفاع",
+  "Open for Clip Aesthetic!": "Open for Clip Aesthetic!",
+  "▼": "▼",
+  "Aesthetic weight": "Aesthetic weight",
+  "Aesthetic steps": "Aesthetic steps",
+  "Aesthetic learning rate": "Aesthetic learning rate",
+  "Slerp interpolation": "Slerp interpolation",
+  "Aesthetic imgs embedding": "Aesthetic imgs embedding",
+  "None": "لايوجد",
+  "Aesthetic text for imgs": "Aesthetic text for imgs",
+  "Slerp angle": "Slerp angle",
+  "Is negative text": "Is negative text",
+  "Script": "سكريبت",
+  "Prompt matrix": "مصفوفة الموجهات",
+  "Prompts from file or textbox": "موجهات من ملف أو مربع النص",
+  "X/Y plot": "الرسم البياني X/Y",
+  "Put variable parts at start of prompt": "ضع الأجزاء المتغيرة في بداية الموجه",
+  "Show Textbox": "إظهار مربع النص",
+  "File with inputs": "ملف يحتوي المدخلات",
+  "Prompts": "الموجهات",
+  "X type": "نوع X",
+  "Nothing": "لا شئ",
+  "Var. seed": "تغير البذرة",
+  "Var. strength": "قوة التغيير",
+  "Steps": "الخطوات",
+  "Prompt S/R": "موجه S / R",
+  "Prompt order": "ترتيب الموجهات",
+  "Sampler": "نظام أخذ العينات",
+  "Checkpoint name": "اسم النموذج",
+  "Hypernetwork": "الشبكة الفائقة",
+  "Hypernet str.": "قوة الشبكة الفائقة",
+  "Sigma Churn": "دفع سيجما",
+  "Sigma min": "أصغر سيجما",
+  "Sigma max": "أكبر سيجما",
+  "Sigma noise": "ضجة سيجما",
+  "Eta": "الوقت المتوقع",
+  "Clip skip": "تخطي Clip",
+  "Denoising": "تقليل الضوضاء",
+  "X values": "قيم X",
+  "Y type": "نوع Y",
+  "Y values": "قيم Y",
+  "Draw legend": "ارسم مفتاح التوضيح",
+  "Include Separate Images": "قم بتضمين الصور منفصلة",
+  "Keep -1 for seeds": "احتفظ بـقيمة -1 للبذور",
+  "Drop Image Here": "إسقاط الصورة هنا",
+  "Save": "حفظ",
+  "Send to img2img": "أرسل إلى صورة لصورة",
+  "Send to inpaint": "أرسل إلى إعادة الرسم الجزئي",
+  "Send to extras": "أرسل إلى الإضافات",
+  "Make Zip when Save?": "إنشاء ملف مضغوط عند الحفظ؟",
+  "Textbox": "مربع النص",
+  "Interrogate\nCLIP": "استجواب\n CLIP",
+  "Inpaint": "إعادة الرسم الجزئي",
+  "Batch img2img": "دفعات صورة لصورة",
+  "Image for img2img": "صورة (صورة لصورة)",
+  "Image for inpainting with mask": "صورة (إعادة الرسم الجزئي)",
+  "Mask": "القناع",
+  "Mask blur": "ضبابية القناع",
+  "Mask mode": "أسلوب القناع",
+  "Draw mask": "رسم القناع",
+  "Upload mask": "تحميل القناع",
+  "Masking mode": "أسلوب التقنيع",
+  "Inpaint masked": "إعادة الرسم الجزئي (المنطقة المقنعة)",
+  "Inpaint not masked": "إعادة الرسم الجزئي (المنطقة الغير مقنعة)",
+  "Masked content": "المحتوى المقنع",
+  "fill": "الملأ",
+  "original": "الأصلي",
+  "latent noise": "الضوضاء الكامنة",
+  "latent nothing": "لا شيء كامن",
+  "Inpaint at full resolution": "إعادة الرسم الجزئي بدقة كاملة",
+  "Inpaint at full resolution padding, pixels": "إعادة الرسم الجزئي بدقة كاملة, الحشو, بيكسل",
+  "Process images in a directory on the same machine where the server is running.": "معالجة الصور في المجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
+  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "استخدم مجلد إخراج فارغ لحفظ الصور بشكل طبيعي بدلاً من الكتابة إلى مجلد المخرجات.",
+  "Input directory": "مجلد المدخلات",
+  "Output directory": "مجلد المخرجات",
+  "Resize mode": "وضعية تغيير الحجم",
+  "Just resize": "تغييير الحجم فقط",
+  "Crop and resize": "اقتصاص وتغيير الحجم",
+  "Resize and fill": "تغيير الحجم والتعبئة",
+  "img2img alternative test": "صورة لصورة البديلة",
+  "Loopback": "الحلقة الراجعة",
+  "Outpainting mk2": "الرسم الخارجي نسخة 2",
+  "Poor man's outpainting": "الرسم الخارجي للفقراء",
+  "SD upscale": "ترقية الانتشار المستقر",
+  "should be 2 or lower.": "should be 2 or lower.",
+  "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
+  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
+  "Original prompt": "Original prompt",
+  "Original negative prompt": "Original negative prompt",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
+  "Decode steps": "Decode steps",
+  "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
+  "Decode CFG scale": "Decode CFG scale",
+  "Randomness": "Randomness",
+  "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
+  "Loops": "Loops",
+  "Denoising strength change factor": "معامل قوة تقليل الضوضاء",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "الإعدادات الموصى بها: خطوات أخذ العينات: 80-100 ، طريقة أخذ العينات: Euler a ، تقليل الضوضاء: 0.8",
+  "Pixels to expand": "عدد البكسل للتوسيع",
+  "Outpainting direction": "إتجاه الرسم الخارجي",
+  "left": "يسار",
+  "right": "يمين",
+  "up": "فوق",
+  "down": "تحت",
+  "Fall-off exponent (lower=higher detail)": "أس التناقص (الأدنى = تفاصيل أعلى)",
+  "Color variation": "اختلاف اللون",
+  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيقوم بترقية الصورة إلى ضعف الأبعاد ؛ استخدم شريط تمرير العرض والارتفاع لضبط حجم التبليط",
+  "Tile overlap": "تداخل التبليط",
+  "Upscaler": "المرقي",
+  "Lanczos": "Lanczos",
+  "Single Image": "صورة واحدة",
+  "Batch Process": "معالجة الدفعات",
+  "Batch from Directory": "دفعة من المجلد",
+  "Source": "مصدر",
+  "Show result images": "إظهار نتائج الصور ",
+  "Scale by": "رفع الحجم بمقدار",
+  "Scale to": "رفع الحجم إلى",
+  "Resize": "تغيير الحجم",
+  "Crop to fit": "اقتصاص للتوافق",
+  "Upscaler 2 visibility": "إظهار المرقي 2",
+  "GFPGAN visibility": "إظهار GFPGAN",
+  "CodeFormer visibility": "إظهار CodeFormer",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (0 = أقصى تأثير ، 1 = تأثير أدنى)",
+  "Open output directory": "افتح مجلد المخرجات",
+  "Send to txt2img": "أرسل إلى كتابة لصورة",
+  "A merger of the two checkpoints will be generated in your": "سيتم إنشاء نموذجمدمج من النموذجين في",
+  "checkpoint": "النموذج",
+  "directory.": "المجلد.",
+  "Primary model (A)": "النموذج الأساسي (أ)",
+  "Secondary model (B)": "النموذج الثانوي (ب)",
+  "Tertiary model (C)": "النموذج الثالث (ج)",
+  "Custom Name (Optional)": "اسم مخصص (اختياري)",
+  "Multiplier (M) - set to 0 to get model A": "المضاعف (M) - اضبط على 0 للحصول على النموذج أ",
+  "Interpolation Method": "طريقة الاستنباط",
+  "Weighted sum": "المجموع الموزون",
+  "Add difference": "أضافة الاختلاف",
+  "Save as float16": "حفظ  float16",
+  "See": "شاهد",
+  "wiki": "ويكي",
+  "for detailed explanation.": "للحصول على شرح مفصل.",
+  "Create embedding": "إنشاء التضمين",
+  "Create hypernetwork": "إنشاء شبكة فائقة",
+  "Preprocess images": "تجهيز الصور",
+  "Name": "الاسم",
+  "Initialization text": "نص التهيئة",
+  "Number of vectors per token": "عدد المتجهات لكل رمز",
+  "Overwrite Old Embedding": "الكتابة فوق التضمين القديم",
+  "Modules": "الوحدات",
+  "Enter hypernetwork layer structure": "أدخل بنية طبقة الشبكة الفائقة",
+  "Select activation function of hypernetwork": "حدد وظيفة تنشيط الشبكة الفائقة",
+  "linear": "خطي (Linear)",
+  "relu": "الوحدة الخطية المعدلة (Relu)",
+  "leakyrelu": "الوحدة الخطية المعدلة المسربة (Leakyrelu)",
+  "elu": "الوحدة الأسية الخطية (Elu)",
+  "swish": "Swish",
+  "Add layer normalization": "أضف طبقة التسوية",
+  "Use dropout": "استخدم الهبوط",
+  "Overwrite Old Hypernetwork": "الكتابة فوق الشبكة الفائقة القديمة",
+  "Source directory": "مجلد المصدر",
+  "Destination directory": "مجلد النتائج",
+  "Existing Caption txt Action": "الإجراء النصي للتعليق المتوفر",
+  "ignore": "تجاهل",
+  "copy": "نسخ",
+  "prepend": "أضف قبل",
+  "append": "ألحق",
+  "Create flipped copies": "قم بإنشاء نسخ مقلوبة",
+  "Split oversized images": "تقسيم الصور كبيرة الحجم",
+  "Use BLIP for caption": "استخدم BLIP للتعليق",
+  "Use deepbooru for caption": "استخدم deepbooru للتعليق",
+  "Split image threshold": "حد تقسيم الصورة",
+  "Split image overlap ratio": "نسبة تداخل الصورة المنقسمة",
+  "Preprocess": "تجهيز الصور",
+  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "تدريب التضمين أو الشبكة الفائقة ؛ يجب تحديد مجلد بمجموعة من الصور بنسبة أبعاد 1: 1",
+  "[wiki]": "[ويكي]",
+  "Embedding": "التضمين",
+  "Embedding Learning rate": "معدل تعلم التضمين",
+  "Hypernetwork Learning rate": "معدل تعلم الشبكة الفائقة",
+  "Dataset directory": "مجلد مجموعة البيانات",
+  "Log directory": "مجلد السجل",
+  "Prompt template file": "ملف قالب الموجهات",
+  "Max steps": "الخطوات القصوى",
+  "Save an image to log directory every N steps, 0 to disable": "حفظ صورة في مجلد السجل  كل N خطوات ، 0 للتعطيل",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "حفظ نسخة من التضمين في مجلد السجل كل N خطوات ، 0 للتعطيل",
+  "Save images with embedding in PNG chunks": "حفظ التضمين مع الصور في أجزاء PNG",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "قراءة المتغيرات (الموجه ، إلخ ...) من علامة تبويب نص لصورة عند إجراء المعاينات",
+  "Train Hypernetwork": "تدريب الشبكة الفائقة",
+  "Train Embedding": "تدريب التضمين",
+  "Create an aesthetic embedding out of any number of images": "Create an aesthetic embedding out of any number of images",
+  "Create images embedding": "Create images embedding",
+  "extras": "إضافات",
+  "favorites": "المفضلة",
+  "custom fold": "custom fold",
+  "Load": "تحميل",
+  "Images directory": "مجلد الصور",
+  "Prev batch": "الدفعة السابقة",
+  "Next batch": "الدفعة التالية",
+  "First Page": "الصفحة الأولى",
+  "Prev Page": "الصفحة السابقة",
+  "Page Index": "فهرس الصفحات",
+  "Next Page": "الصفحة التالية",
+  "End Page": "صفحة النهاية",
+  "number of images to delete consecutively next": "عدد الصور المطلوب حذفها على التوالي بعد ذلك",
+  "Delete": "حذف",
+  "Generate Info": "معلومات الإنشاء",
+  "File Name": "اسم الملف",
+  "Collect": "جمع",
+  "Refresh page": "إعادة تحميل الصفحة",
+  "Date to": "التاريخ إلى",
+  "Number": "الرقم",
+  "set_index": "وضع الفهرس",
+  "Checkbox": "صندوق اختيار",
+  "Apply settings": "تطبيق الإعدادات",
+  "Saving images/grids": "حفظ الصور / الإطار الشبكي",
+  "Always save all generated images": "احفظ دائمًا جميع الصور التي تم إنشائها",
+  "File format for images": "تنسيق ملفات الصور",
+  "Images filename pattern": "نمط اسم ملفات الصور",
+  "Add number to filename when saving": "Add number to filename when saving",
+  "Always save all generated image grids": "احفظ دائمًا جميع الإطارات الشبكية للصور التي تم إنشاؤها",
+  "File format for grids": "تنسيق ملفات الإطارات الشبكية",
+  "Add extended info (seed, prompt) to filename when saving grid": "أضف معلومات إضافية (البذرة ، الموجه) إلى اسم الملف عند حفظ الإطار الشبكي",
+  "Do not save grids consisting of one picture": "لا تحفظ الإطارات الشبكية التي تتكون من صورة واحدة",
+  "Prevent empty spots in grid (when set to autodetect)": "منع المناطق الفارغة في الإطار الشبكي (عند الضبط على الاكتشاف التلقائي)",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف الإطار الشبكي استخدم -1 للاكتشاف التلقائي و 0 ليكون نفس حجم الدُفعة",
+  "Save text information about generation parameters as chunks to png files": "احفظ معلومات نصية حول متغيرات الإنشاء كمقاطع في ملفات png",
+  "Create a text file next to every image with generation parameters.": "قم بإنشاء ملف نصي بجوار كل صورة باستخدام متغيرات الإنشاء.",
+  "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل القيام بترميم الوجوه.",
+  "Quality for saved jpeg images": "جودة الصور المحفوظة بتنسيق jpeg",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كانت صورة PNG أكبر من 4 ميجابايت أو كان أي بُعد أكبر من 4000 ، قم بتقليل حجم الصورة وحفظها بتنسيق JPG",
+  "Use original name for output filename during batch process in extras tab": "استخدم الاسم الأصلي لاسم ملف الإخراج أثناء عملية الدُفعات في علامة تبويب الإضافات",
+  "When using 'Save' button, only save a single selected image": "عند استخدام زر 'حفظ' ، احفظ فقط صورة واحدة محددة",
+  "Do not add watermark to images": "لا تقم بإضافة العلامة المائية للصور",
+  "Paths for saving": "مسارات الحفظ",
+  "Output directory for images; if empty, defaults to three directories below": "مجلد المخرجات للصور ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدات الثلاثة أدناه",
+  "Output directory for txt2img images": "مجلد المخرجات لصور نص لصورة",
+  "Output directory for img2img images": "مجلد المخرجات لصور صورة لصورة",
+  "Output directory for images from extras tab": "مجلد المخرجات لصور علامة تبويب الإضافات",
+  "Output directory for grids; if empty, defaults to two directories below": "مجلد المخرجات للإطارات الشبكية ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدين أدناه",
+  "Output directory for txt2img grids": "مجلد المخرجات للإطارات الشبكية نص لصورة",
+  "Output directory for img2img grids": "مجلد المخرجات للإطارات الشبكية صورة لصورة",
+  "Directory for saving images using the Save button": "مجلد لحفظ الصور باستخدام زر حفظ",
+  "Saving to a directory": "يتم الحفظ إلى المجلد..",
+  "Save images to a subdirectory": "حفظ الصور في مجلد فرعي",
+  "Save grids to a subdirectory": "حفظ الإطارات الشبكية في مجلد فرعي",
+  "When using \"Save\" button, save images to a subdirectory": "احفظ الصور في مجلد فرعي عند الضغط على زر الحفظ",
+  "Directory name pattern": "نمط اسم المجلد",
+  "Max prompt words for [prompt_words] pattern": "أقصى عدد لكلمات التوجيه لنمط [كلمات_التوجيه]",
+  "Upscaling": "الارتقاء",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم التبليط لترقيات ESRGAN, القيمة 0= لا يوجد تبليط.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل المربعات ، بالبكسل لمرقي ESRGAN. القيم المنخفضة = تداخل مرئي.",
+  "Tile size for all SwinIR.": "حجم التليط لجميع عمليات SwinIR.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل المربعات بالبكسل لـ SwinIR. القيم المنخفضة = تداخل مرئي.",
+  "LDSR processing steps. Lower = faster": "خطوات معالجة LDSR. أقل = أسرع",
+  "Upscaler for img2img": "المرقي لصورة لصورة",
+  "Upscale latent space image when doing hires. fix": "ترقية صورة الفضاء الكامن عند التعيينات. تصليح",
+  "Face restoration": "ترميم الوجوه",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "متغيرات وزن CodeFormer ؛ 0 = أقصى تأثير ؛ 1 = الحد الأدنى من التأثير",
+  "Move face restoration model from VRAM into RAM after processing": "انقل نموذج استعادة الوجوه من VRAM إلى RAM بعد المعالجة",
+  "System": "نظام",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "استطلاعات استخدام VRAM في الثانية أثناء الإنشاء. اضبط على 0 للتعطيل.",
+  "Always print all generation info to standard output": "قم دائمًا بطباعة جميع معلومات الإنشاء إلى المخرج القياسي",
+  "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم آخر إلى وحدة التحكم يُظهر التدقم الكلي للمهمة.",
+  "Training": "التدريب",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "تفريغ VAE و CLIP من VRAM عند التدريب",
+  "Filename word regex": "اسم ملف كلمات regex",
+  "Filename join string": "سلسلة أحرف دمج أسماء الملفات",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد التكرارات لصورة إدخال واحدة لكل حقبة ؛ تستخدم فقط لعرض رقم الحقبة",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "حفظ ملف csv يحتوي على الخسارة إلى مجلد السجل كل N خطوات ، 0 للتعطيل",
+  "Stable Diffusion": "انتشار مستقر",
+  "Checkpoints to cache in RAM": "التخزين المؤقت للنماذج في RAM",
+  "Hypernetwork strength": "قوة الشبكة الفائقة",
+  "Apply color correction to img2img results to match original colors.": "قم بتطبيق تصحيح الألوان على نتائج صورة لصورة لمطابقة الألوان الأصلية.",
+  "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصورة قبل تطبيق تصحيح الألوان على نتائج  صورة لصورة",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "باستخدام صورة لصورة ، قم بالضبط بعدد الخطوات التي يحددها شريط التمرير (عادةً ما سيكون أقل مع تقليل التشويش).",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "تمكين تكميم عينات K للحصول على نتائج أوضح وأنظف. هذا قد يغير البذرة المستخدمة. يتطلب إعادة التشغيل للتطبيق.",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "التأكيد: استخدم (النص) لجعل النموذج يولي مزيدًا من الاهتمام للنص و استخدم [النص] لجعل النموذج يولي اهتمامًا أقل  للنص",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم طريقة التأكيد القديمة. يمكن أن يكون مفيدًا لإعادة إنتاج البذور القديمة.",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "اجعل انظمة أخذ عينات الانتشار K تنتج نفس الصور في الدفعات كما هو الحال عند إنشاء صورة واحدة",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "زيادة التناسق عن طريق المساحة المتروكة من الفاصلة الأخيرة ضمن عدد n من الرموز المميزة عند استخدام أكثر من 75 رمزًا مميزًا",
+  "Filter NSFW content": "تصفية المحتوى الإباحي",
+  "Stop At last layers of CLIP model": "توقف عند آخر طبقات نموذج CLIP",
+  "Interrogate Options": "خيارات الاستجواب",
+  "Interrogate: keep models in VRAM": "الاستجواب: احتفظ بالنماذج في VRAM",
+  "Interrogate: use artists from artists.csv": "الاستجواب: استخدم  قائمة الفنانين من ملف artists.csv",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "الاستجواب: قم بتضمين رتب علامات النموذج في النتائج (ليس له تأثير على الاستجواب المستند إلى التعليقات).",
+  "Interrogate: num_beams for BLIP": "الاستجواب: عدد الحزم لـ BLIP",
+  "Interrogate: minimum description length (excluding artists, etc..)": "الاستجواب: الحد الأدنى لطول الوصف (باستثناء الفنانين ،إلخ..)",
+  "Interrogate: maximum description length": "الاستجواب: الحد الأقصى لطول الوصف",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: أقصى عدد من الأسطر في الملف النصي (0 = بلا حدود)",
+  "Interrogate: deepbooru score threshold": "الاستجواب: عتبة درجات deepbooru",
+  "Interrogate: deepbooru sort alphabetically": "الاستجواب: الترتيب الأبجدي لـ deepbooru",
+  "use spaces for tags in deepbooru": "استخدام مسافات للعلامات في deepbooru",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "تجاهل الأقواس عند استخدام deepbooru (كي لا تعامل كأقواس التشديد)",
+  "User interface": "واجهة المستخدم",
+  "Show progressbar": "إظهار شريط التقدم",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "إظهار تقدم إنشاء الصورة لكل N خطوة من خطوات أخذ العينات. قم بتعيين 0 للتعطيل.",
+  "Show previews of all images generated in a batch as a grid": "إظهار معاينة لجميع الصور التي يتم إنشائها في الدفعة كإطار شبكي",
+  "Show grid in results for web": "إظهار الإطار الشبكي في نتائج الويب",
+  "Do not show any images in results for web": "لا تظهر أي صور في نتائج الويب",
+  "Add model hash to generation information": "أضف معلومات الهاش للنموذج إلى معلومات الإنشاء",
+  "Add model name to generation information": "أضف اسم النموذج إلى معلومات الإنشاء",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "عند قراءة متغيرات الإنشاء من النص إلى واجهة المستخدم (من معلومات PNG أو النص الملصق) ، لا تقم بتغيير النموذج",
+  "Font for image grids that have text": "الخط المستخدم للإطارات الشبكية للصور التي تحتوي على نص",
+  "Enable full page image viewer": "تفعيل عارض الصور ذو الصفحة الكاملة",
+  "Show images zoomed in by default in full page image viewer": "إظهار الصور التي تم تكبيرها بشكل افتراضي في عارض الصور ذو الصفحة الكاملة",
+  "Show generation progress in window title.": "إظهار تقدم الإنشاء في عنوان الشاشة.",
+  "Quicksettings list": "قائمة الإعدادات السريعة",
+  "Localization (requires restart)": "الترجمة (يتطلب إعادة التشغيل)",
+  "Sampler parameters": "متغيرات أنظمة اخذ العينات",
+  "Hide samplers in user interface (requires restart)": "إخفاء أنظمة أخذ العينات في واجهة المستخدم (يتطلب إعادة التشغيل)",
+  "eta (noise multiplier) for DDIM": "الوقت المتبقي (مضاعف الضوضاء) لـ DDIM",
+  "eta (noise multiplier) for ancestral samplers": "الوقت المتبقي (مضاعف الضوضاء) لأنظمة أخذ العينات التي تعتمد على الأجداد",
+  "img2img DDIM discretize": "تفصل DDIM لصورة لصورة",
+  "uniform": "التوحيد",
+  "quad": "رباعية",
+  "sigma churn": "دفع سيجما",
+  "sigma tmin": "سيجما tmin",
+  "sigma noise": "ضجيج سيجما",
+  "Eta noise seed delta": "الوقت المتوقع لديلتا بذرة الضجيج ",
+  "Images Browser": "مستعرض الصور",
+  "Preload images at startup": "تحميل الصور مسبقًا عند بدء التشغيل",
+  "Number of columns on the page": "Number of columns on the page",
+  "Number of rows on the page": "Number of rows on the page",
+  "Minimum number of pages per load": "الحد الأدنى لعدد الصفحات لكل تحميل",
+  "Request browser notifications": "طلب إشعارات المتصفح",
+  "Download localization template": "تنزيل نموذج الترجمة",
+  "Reload custom script bodies (No ui updates, No restart)": "إعادة تحميل السكريبتات المخصصة (لا توجد تحديثات لواجهة المستخدم ، لا إعادة تشغيل)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعادة تشغيل  Gradio و تحديث مكونات واجهة الاستخدام (السكريبتات و ui.py و js و css فقط)",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه السلبي (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
+  "Add a random artist to the prompt.": "أضف فنانًا عشوائيًا إلى الموجه.",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "قراءة متغيرات الإنشاء من الموجه أو الإنشاء الأخير إذا كان الموجه فارغا في واجهة المستخدم.",
+  "Save style": "حفظ النمط",
+  "Apply selected styles to current prompt": "تطبيق الأنماط المحددة للموجه الحالي",
+  "Stop processing current image and continue processing.": "توقف عن معالجة الصورة الحالية واستمر في المعالجة.",
+  "Stop processing images and return any results accumulated so far.": "توقف عن معالجة الصور وقم بإرجاع أي نتائج متراكمة حتى الآن.",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "النمط المطلوب تطبيقه ؛ الأنماط لها مكونات لكل من الموجهات الإيجابية والسلبية وتنطبق على كليهما",
+  "Do not do anything special": "لا تفعل أي شيء خاص",
+  "Which algorithm to use to produce the image": "الخوارزمية التي يجب استخدامها لإنتاج الصورة",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - مبدع جدًا ، يمكن لكل منها الحصول على صورة مختلفة تمامًا اعتمادًا على عدد الخطوات ، تعيين الخطوات على أعلى من 30-40 لا يعطي نتيجة مفيدة",
+  "Denoising Diffusion Implicit Models - best at inpainting": "نماذج تقليل التشويش الضمني  - أفضل اسخدام في الرسم الجزئي",
+  "Produce an image that can be tiled.": "أنتج صورة يمكن تبليطها.",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "استخدم عملية من خطوتين لإنشاء صورة جزئيًا بدقة أقل ثم ترقيتها و تحسين تفاصيلها دون تغيير التكوين",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "يحدد مدى ضآلة احترام الخوارزمية لمحتوى الصورة. عند 0 ، لن يتغير شيء ، وعند 1 ستحصل على صورة لا صلة لها بالصورة الأصلية. مع وجود قيم أقل من 1.0 ، المعالجة ستأخذ خطوات أقل مما يحدده شريط تمرير خطوات المعالجة.",
+  "How many batches of images to create": "كم عدد دفعات الصور التي يتم إنشائها",
+  "How many image to create in a single batch": "كم صورة يتم إنشائها دفعة واحدة",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "مقياس التوجيه الحر للمصنف - إلى أي مدى يجب أن تتوافق الصورة مع الموجه - القيم المنخفضة تنتج نتائج أكثر إبداعًا",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "القيمة التي تحدد ناتج منشئ الأرقام العشوائية - إذا قمت بإنشاء صورة بنفس المتغيرات و بذرة الصورة ، فستحصل على نفس النتيجة",
+  "Set seed to -1, which will cause a new random number to be used every time": "عيّن البذرة إلى -1 ، مما سيؤدي إلى استخدام رقم عشوائي جديد في كل مرة",
+  "Reuse seed from last generation, mostly useful if it was randomed": "إعادة استخدام البذرة من الإنشاء الأخير ، وتكون مفيدة في الغالب إذا كانت عشوائية",
+  "Seed of a different picture to be mixed into the generation.": "استخدام بذرة من صورة مختلفة ليتم مزجها في الإنشاء.",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "ما مدى قوة التباين عند الإنشاء. 0 ، لن يكون هناك أي تأثير. 1 ، ستحصل على الصورة الكاملة ببذور التباين (باستثناء أنظمة عينات الأسلاف ، حيث ستحصل على شيء ما فقط).",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "قم بمحاولة لإنتاج صورة مشابهة لما تم إنتاجه بنفس البذرة بناءا على دقة محددة",
+  "This text is used to rotate the feature space of the imgs embs": "This text is used to rotate the feature space of the imgs embs",
+  "Separate values for X axis using commas.": "افصل بين قيم المحور X باستخدام الفواصل.",
+  "Separate values for Y axis using commas.": "افصل بين قيم المحور Y باستخدام الفواصل.",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "اكتب الصورة إلى مجلد (الافتراضي -  log/images) وتوليد المتغيرات في ملف csv.",
+  "Open images output directory": "افتح مجلد مخرجات الصور",
+  "How much to blur the mask before processing, in pixels.": "كم يتم تضبيب القناع قبل المعالجة ، بالبكسل.",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "ما يجب وضعه داخل المنطقة المقنعة قبل معالجتها باستخدام الانتشار المستقر.",
+  "fill it with colors of the image": "املأها بألوان الصورة",
+  "keep whatever was there originally": "احتفظ بكل ما كان هناك في الأصل",
+  "fill it with latent space noise": "املأه بضوضاء الفضاء الكامنة",
+  "fill it with latent space zeroes": "املأه بأصفار الفضاء الكامنة",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "قم بترقية المنطقة المقنعة إلى الدقة المستهدفة و الرسم الجزئي ثم تقليص الحجم  واللصق في الصورة الأصلية",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "تغيير حجم الصورة إلى الدقة المستهدفة. ما لم يتطابق الطول والعرض ، ستحصل على نسبة عرض إلى ارتفاع غير صحيحة.",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "قم بتغيير حجم الصورة بحيث يتم ملء الدقة المستهدفة بالكامل بالصورة. يتم قطع المناطق التي تبرز.",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "قم بتغيير حجم الصورة بحيث تكون الصورة بأكملها داخل الدقة المستهدفة. املأ المساحة الفارغة بألوان الصورة.",
+  "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم تكرار معالجة صورة واستخدامها  كمدخل للتكرار التالي",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "في وضع حلقة الاسترجاع ، يتم ضرب قوة تقليل الضوضاء بهذه القيمة في كل حلقة. يعني <1 تقليل التنوع بحيث يتقارب التسلسل الخاص بك على صورة ثابتة. > 1 يعني زيادة التنوع بحيث يصبح تسلسلك أكثر وأكثر فوضوية.",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "الترقية باستخدام الانتشار المستقر ، كم يجب أن يكون مقدار التداخل بالبكسل بين المربعات. تتداخل المربعات بحيث لا يكون هناك خط واضح للعيان عند دمجها مرة أخرى في صورة واحدة.",
+  "A directory on the same machine where the server is running.": "مجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
+  "Leave blank to save images to the default path.": "اتركه فارغًا لحفظ الصور في المسار الافتراضي.",
+  "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "يجب أن يكون الرقم الأول والأخير 1. على سبيل المثال: '1 ، 2 ، 1'",
+  "Path to directory with input images": "المسار إلى مجلد الصور المدخلة",
+  "Path to directory where to write outputs": "المسار إلى مجلد كتابة النتائج",
+  "Input images directory": "مجلد الصور المدخلة",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتعريف كيفية اختيار أسماء الملفات للصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "إذا تم تمكين هذا الخيار ، فلن تتم إضافة العلامة المائية إلى الصور التي تم إنشاؤها. تحذير: إذا لم تقم بإضافة علامة مائية ، فقد تكون تتصرف بطريقة غير أخلاقية.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتحديد كيفية اختيار المجادت الفرعية للصور و الإطارات الشبكية : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "سيتم استخدام هذا التعبير العادي لاستخراج الكلمات من اسم الملف ، وسيتم ضمها باستخدام الخيار أدناه في نص التسمية المستخدم للتدريب. اتركه فارغًا للاحتفاظ بنص اسم الملف كما هو.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "سيتم استخدام هذا النص لضم الكلمات المقسمة إلى سطر واحد إذا تم تمكين الخيار أعلاه.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة أسماء الإعدادات ، مفصولة بفواصل ، للإعدادات التي يجب أن تنتقل إلى شريط الوصول السريع في الأعلى ، بدلاً من علامة تبويب الإعداد المعتادة. انظر modules / shared.py للتعرف على أسماء الإعدادات. يتطلب إعادة التشغيل للتطبيق.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "إذا كانت هذه القيم غير صفرية ، فستتم إضافتها إلى البذرة واستخدامها لتهيئة فوضى الضوضاء عند استخدام أنظمة أخذ العينات باستخدام الوقت المتبقي. يمكنك استخدام ذلك لإنتاج المزيد من التنوعات في الصور ، أو يمكنك استخدامه لمطابقة صور البرامج الأخرى إذا كنت تعرف ما تفعله."
 }
\ No newline at end of file
diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index a6cc2477..ae533e06 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -1,4 +1,5 @@
 {
+    "rtl": false,
     "⤡": "⤡",
     "⊞": "⊞",
     "×": "×",
diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index ab12c37e..6daad1b7 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -1,4 +1,5 @@
 {
+  "rtl": false,
   "×": "×",
   "•": "•",
   "⊞": "⊞",
diff --git a/localizations/ru_RU.json b/localizations/ru_RU.json
index 664d36ea..8ec2c5a3 100644
--- a/localizations/ru_RU.json
+++ b/localizations/ru_RU.json
@@ -1,4 +1,5 @@
 {
+    "rtl": false,
     "⤡": "⤡",
     "⊞": "⊞",
     "×": "×",
diff --git a/style.css b/style.css
index 26ae36a5..13a9fb07 100644
--- a/style.css
+++ b/style.css
@@ -515,3 +515,77 @@ img2maskimg, #img2maskimg > .h-60, #img2maskimg > .h-60 > div, #img2maskimg > .h
     max-height: 480px !important;
     min-height: 480px !important;
 }
+
+/* The following handles localization for right-to-left (RTL) languages like Arabic.
+The rtl media type will only be activated by the logic in javascript/localization.js.
+If you change anything above, you need to make sure it is RTL compliant by just running
+your changes through converters like https://cssjanus.github.io/ or https://rtlcss.com/.
+Then, you will need to add the RTL counterpart only if needed in the rtl section below.*/
+@media rtl {
+    /* this part was manualy added */
+    :host {
+        direction: rtl;
+    }
+    .output-html:has(.performance), .gr-text-input {
+        direction: ltr;
+    }
+    .gr-radio, .gr-checkbox{
+        margin-left: 0.25em;
+    }
+
+    /* this part was automatically generated with few manual modifications */
+    .performance .time {
+        margin-right: unset;
+        margin-left: 0;
+    }
+    .justify-center.overflow-x-scroll {
+        justify-content: right;
+    }
+    .justify-center.overflow-x-scroll button:first-of-type {
+        margin-left: unset;
+        margin-right: auto;
+    }
+    .justify-center.overflow-x-scroll button:last-of-type {
+        margin-right: unset;
+        margin-left: auto;
+    }
+    #settings fieldset span.text-gray-500, #settings .gr-block.gr-box span.text-gray-500, #settings label.block span{
+        margin-right: unset;
+        margin-left: 8em;
+    }
+    #txt2img_progressbar, #img2img_progressbar, #ti_progressbar{
+        right: unset;
+        left: 0;
+    }
+    .progressDiv .progress{
+        padding: 0 0 0 8px;
+        text-align: left;
+    }
+    #lightboxModal{
+        left: unset;
+        right: 0;
+    }
+    .modalPrev, .modalNext{
+        border-radius: 3px 0 0 3px;
+    }
+    .modalNext {
+        right: unset;
+        left: 0;
+        border-radius: 0 3px 3px 0;
+    }
+    #imageARPreview{
+        left:unset;
+        right:0px;
+    }
+    #txt2img_skip, #img2img_skip{
+        right: unset;
+        left: 0px;
+    }
+    #context-menu{
+        box-shadow:-1px 1px 2px #CE6400;
+    }
+    .gr-box > div > div > input.gr-text-input{
+        right: unset;
+        left: 0.5em;
+    }
+}

From d3eef0aa0c773b8b9dc3a4f119e5709744e35af6 Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Tue, 25 Oct 2022 06:55:17 +0300
Subject: [PATCH 143/321] Remove rtl: false from localizations

---
 javascript/localization.js | 5 ++++-
 localizations/ja_JP.json   | 1 -
 localizations/ko_KR.json   | 1 -
 localizations/ru_RU.json   | 1 -
 4 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/javascript/localization.js b/javascript/localization.js
index 6fb2fccd..f92d2d24 100644
--- a/javascript/localization.js
+++ b/javascript/localization.js
@@ -107,7 +107,10 @@ function processNode(node){
 }
 
 function dumpTranslations(){
-    dumped = { rtl: localization.rtl || false }
+    dumped = {}
+    if (localization.rtl) {
+        dumped.rtl = true
+    }
 
     Object.keys(original_lines).forEach(function(text){
         if(dumped[text] !== undefined)  return
diff --git a/localizations/ja_JP.json b/localizations/ja_JP.json
index ae533e06..a6cc2477 100644
--- a/localizations/ja_JP.json
+++ b/localizations/ja_JP.json
@@ -1,5 +1,4 @@
 {
-    "rtl": false,
     "⤡": "⤡",
     "⊞": "⊞",
     "×": "×",
diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 6daad1b7..ab12c37e 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -1,5 +1,4 @@
 {
-  "rtl": false,
   "×": "×",
   "•": "•",
   "⊞": "⊞",
diff --git a/localizations/ru_RU.json b/localizations/ru_RU.json
index 8ec2c5a3..664d36ea 100644
--- a/localizations/ru_RU.json
+++ b/localizations/ru_RU.json
@@ -1,5 +1,4 @@
 {
-    "rtl": false,
     "⤡": "⤡",
     "⊞": "⊞",
     "×": "×",

From bdc4c203f2ba4c4598da6a4ce8342ebc8ed8ee65 Mon Sep 17 00:00:00 2001
From: innovaciones <sonygarcia99@gmail.com>
Date: Mon, 24 Oct 2022 19:45:22 -0500
Subject: [PATCH 144/321] Add Spanish localization

---
 localizations/es_ES.json | 418 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 418 insertions(+)
 create mode 100644 localizations/es_ES.json

diff --git a/localizations/es_ES.json b/localizations/es_ES.json
new file mode 100644
index 00000000..e58a17fe
--- /dev/null
+++ b/localizations/es_ES.json
@@ -0,0 +1,418 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Cargando...",
+    "view": "mostrar",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "Construido con Gradio",
+    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extras",
+    "PNG Info": "PNG Info",
+    "Checkpoint Merger": "Checkpoint Merger",
+    "Train": "Train",
+    "Settings": "Ajustes",
+    "Prompt": "Prompt",
+    "Negative prompt": "Prompt negativo",
+    "Run": "Ejecutar",
+    "Skip": "Saltar",
+    "Interrupt": "Interrumpir",
+    "Generate": "Generar",
+    "Style 1": "Estilo 1",
+    "Style 2": "Estilo 2",
+    "Label": "Etiqueta",
+    "File": "Archivo",
+    "Drop File Here": "Suelta el Archivo Aquí",
+    "-": "-",
+    "o": "o",
+    "Click to Upload": "Click para Cargar",
+    "Image": "Imagen",
+    "Check progress": "Comprobar progreso",
+    "Check progress (first)": "Comprobar progreso (inicial)",
+    "Sampling Steps": "Sampling Steps",
+    "Sampling method": "Sampling method",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Ancho",
+    "Height": "Alto",
+    "Restore faces": "Restaurar rostros",
+    "Tiling": "Mosaico",
+    "Highres. fix": "Highres. fix",
+    "Firstpass width": "Ancho original",
+    "Firstpass height": "Alto original",
+    "Denoising strength": "Denoising strength",
+    "Batch count": "Batch count",
+    "Batch size": "Batch size",
+    "CFG Scale": "CFG Scale",
+    "Seed": "Seed",
+    "Extra": "Extra",
+    "Variation seed": "Variation seed",
+    "Variation strength": "Variation strength",
+    "Resize seed from width": "Redimensionar seed del ancho",
+    "Resize seed from height": "Redimensionar seed del alto",
+    "Script": "Script",
+    "None": "Ninguno",
+    "Prompt matrix": "Prompt matrix",
+    "Prompts from file or textbox": "Prompts desde archivo o campo de texto",
+    "X/Y plot": "X/Y plot",
+    "Put variable parts at start of prompt": "Poner partes variables al inicio del prompt",
+    "Show Textbox": "Mostrar Campo de texto",
+    "File with inputs": "Archivo con inputs",
+    "Prompts": "Prompts",
+    "X type": "X type",
+    "Nothing": "Nada",
+    "Var. seed": "Var. seed",
+    "Var. strength": "Var. strength",
+    "Steps": "Steps",
+    "Prompt S/R": "Prompt S/R",
+    "Prompt order": "Prompt order",
+    "Sampler": "Sampler",
+    "Checkpoint name": "Checkpoint name",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernet str.",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min",
+    "Sigma max": "Sigma max",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip skip",
+    "Denoising": "Denoising",
+    "X values": "X values",
+    "Y type": "Y type",
+    "Y values": "Y values",
+    "Draw legend": "Agregar leyenda",
+    "Include Separate Images": "Incluir Imágenes Separadas",
+    "Keep -1 for seeds": "Mantener -1 para seeds",
+    "Drop Image Here": "Suelta la Imagen Aquí",
+    "Save": "Guardar",
+    "Send to img2img": "Enviar a img2img",
+    "Send to inpaint": "Enviar a inpaint",
+    "Send to extras": "Enviar a extras",
+    "Make Zip when Save?": "Crear Zip al Guardar?",
+    "Textbox": "Campo de texto",
+    "Interrogate\nCLIP": "Interrogar\nCLIP",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Batch img2img",
+    "Image for img2img": "Imagen para img2img",
+    "Image for inpainting with mask": "Imagen para inpainting con mask",
+    "Mask": "Mask",
+    "Mask blur": "Mask blur",
+    "Mask mode": "Mask mode",
+    "Draw mask": "Dibujar mask",
+    "Upload mask": "Cargar mask",
+    "Masking mode": "Masking mode",
+    "Inpaint masked": "Inpaint masked",
+    "Inpaint not masked": "Inpaint not masked",
+    "Masked content": "Masked content",
+    "fill": "fill",
+    "original": "original",
+    "latent noise": "latent noise",
+    "latent nothing": "latent nothing",
+    "Inpaint at full resolution": "Inpaint a resolución completa",
+    "Inpaint at full resolution padding, pixels": "Inpaint a resolución completa padding, pixeles",
+    "Process images in a directory on the same machine where the server is running.": "Procesa imágenes en un directorio en la misma máquina donde se ejecuta el servidor.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usa un directorio de salida vacío para guardar imágenes normalmente en lugar de escribir en el directorio de salida.",
+    "Input directory": "Directorio de entrada",
+    "Output directory": "Directorio de salida",
+    "Resize mode": "Modo de cambio de tamaño",
+    "Just resize": "Solo redimensionar",
+    "Crop and resize": "Recortar y redimensionar",
+    "Resize and fill": "Redimensionar y rellenar",
+    "img2img alternative test": "img2img alternative test",
+    "Loopback": "Loopback",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Poor man's outpainting",
+    "SD upscale": "SD upscale",
+    "should be 2 or lower.": "debe ser 2 o menos.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Anular `Sampling method` a Euler? (este método está diseñado para ello)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Anular `prompt` al mismo valor `prompt original`? (y `prompt negativo`)",
+    "Original prompt": "Prompt original",
+    "Original negative prompt": "Promp negativo original",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Anular `Sampling Steps` al mismo valor de `Decode steps`?",
+    "Decode steps": "Decode steps",
+    "Override `Denoising strength` to 1?": "Anular `Denoising strength` a 1?",
+    "Decode CFG scale": "Decode CFG scale",
+    "Randomness": "Aleatoriedad",
+    "Sigma adjustment for finding noise for image": "Ajuste Sigma para encontrar ruido para la imagen.",
+    "Loops": "Loops",
+    "Denoising strength change factor": "Denoising strength change factor",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Ajustes recomendados: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
+    "Pixels to expand": "Píxeles para expandir",
+    "Outpainting direction": "Dirección Outpainting",
+    "left": "izquierda",
+    "right": "derecha",
+    "up": "arriba",
+    "down": "abajo",
+    "Fall-off exponent (lower=higher detail)": "Fall-off exponent (inferior=mayor detalle)",
+    "Color variation": "Variación de color",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Mejorará la imagen al doble de las dimensiones; usa los controles deslizantes de ancho y alto para establecer el tamaño del mosaico",
+    "Tile overlap": "Solapar mosaicos",
+    "Upscaler": "Upscaler",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "SwinIR 4x": "SwinIR 4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "Single Image": "Imagen Única",
+    "Batch Process": "Batch Process",
+    "Batch from Directory": "Batch desde Directorio",
+    "Source": "Origen",
+    "Show result images": "Mostrar resultados de imágenes",
+    "Scale by": "Escalar por",
+    "Scale to": "Escalar a",
+    "Resize": "Redimensionar",
+    "Crop to fit": "Recortar para ajustar",
+    "Upscaler 2 visibility": "Upscaler 2 visibilidad",
+    "GFPGAN visibility": "GFPGAN visibilidad",
+    "CodeFormer visibility": "CodeFormer visibilidad",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer peso (0 = efecto máximo, 1 = efecto mínimo)",
+    "Open output directory": "Abrir directorio de salida",
+    "Send to txt2img": "Enviar a txt2img",
+    "A merger of the two checkpoints will be generated in your": "Se generará una fusión de los dos checkpoints en su",
+    "checkpoint": "checkpoint",
+    "directory.": "directorio.",
+    "Primary model (A)": "Modelo primario (A)",
+    "Secondary model (B)": "Modelo secundario (B)",
+    "Tertiary model (C)": "Modelo terciario (C)",
+    "Custom Name (Optional)": "Nombre personalizado (Opcional)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - establecer en 0 para obtener el modelo A",
+    "Interpolation Method": "Método de interpolación",
+    "Weighted sum": "Weighted sum",
+    "Add difference": "Add difference",
+    "Save as float16": "Guardar como float16",
+    "See": "Ver",
+    "wiki": "wiki",
+    "for detailed explanation.": "para una explicación detallada.",
+    "Create embedding": "Crear embedding",
+    "Create hypernetwork": "Crear hypernetwork",
+    "Preprocess images": "Preprocesar imágenes",
+    "Name": "Nombre",
+    "Initialization text": "Texto de inicialización",
+    "Number of vectors per token": "Número de vectores por token",
+    "Overwrite Old Embedding": "Sobrescribir Embedding Anterior",
+    "Modules": "Módulos",
+    "Enter hypernetwork layer structure": "Ingresa la estructura de capa del hypernetwork",
+    "Select activation function of hypernetwork": "Seleccione la función de activación del hypernetwork",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "Agregar normalización de capa",
+    "Use dropout": "Usar dropout",
+    "Overwrite Old Hypernetwork": "Sobrescribir Hypernetwork Anterior",
+    "Source directory": "Directorio de origen",
+    "Destination directory": "Directorio de salida",
+    "Existing Caption txt Action": "Existing Caption txt Action",
+    "ignore": "ignorar",
+    "copy": "copiar",
+    "prepend": "anteponer",
+    "append": "añadir",
+    "Create flipped copies": "Crear copias volteadas",
+    "Split oversized images": "Dividir imágenes grandes",
+    "Use BLIP for caption": "Usar BLIP para subtítulo",
+    "Use deepbooru for caption": "Usar deepbooru para subtítulo",
+    "Split image threshold": "Threshold imagen dividida",
+    "Split image overlap ratio": "Overlap ratio imagen dividida",
+    "Preprocess": "Preproceso",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Entrenar un embedding o Hypernetwork; debes especificar un directorio con un conjunto de imágenes con una proporción de 1:1",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Embedding Learning rate": "Embedding Learning rate",
+    "Hypernetwork Learning rate": "Hypernetwork Learning rate",
+    "Dataset directory": "Directorio dataset",
+    "Log directory": "Directorio log",
+    "Prompt template file": "Prompt archivos plantilla",
+    "Max steps": "Max steps",
+    "Save an image to log directory every N steps, 0 to disable": "Guarda una imagen en el directorio log cada N pasos, 0 para deshabilitar",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Guarda una copia de embedding en el directorio log cada N pasos, 0 para deshabilitar",
+    "Save images with embedding in PNG chunks": "Guarda imágenes con embedding en fragmentos PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Leer parámetros (prompt, etc...) desde la pestaña txt2img al hacer vistas previas",
+    "Train Hypernetwork": "Train Hypernetwork",
+    "Train Embedding": "Train Embedding",
+    "Apply settings": "Aplicar ajustes",
+    "Saving images/grids": "Guardar imágenes/grids",
+    "Always save all generated images": "Siempre guardar imágenes generadas",
+    "File format for images": "Formato de archivo para imágenes",
+    "Images filename pattern": "Patrón nombre archivo imágenes",
+    "Add number to filename when saving": "Agregar número al nombre de archivo al guardar",
+    "Always save all generated image grids": "Siempre guardar grids de imágenes generadas",
+    "File format for grids": "Formato de archivo para grids",
+    "Add extended info (seed, prompt) to filename when saving grid": "Agregar información extendida (seed, prompt) al nombre del archivo al guardar grid",
+    "Do not save grids consisting of one picture": "No guardar grids que consisten en una imagen",
+    "Prevent empty spots in grid (when set to autodetect)": "Evitar espacios vacíos en grids (cuando se establece detección automática)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Recuento de filas de grids; usar -1 para la detección automática y 0 para que sea igual al batch size",
+    "Save text information about generation parameters as chunks to png files": "Guardar información de texto sobre parámetros de generación como fragmentos en archivos png",
+    "Create a text file next to every image with generation parameters.": "Crear un archivo de texto junto a cada imagen con parámetros de generación.",
+    "Save a copy of image before doing face restoration.": "Guardar una copia de la imagen antes de restaurar rostro.",
+    "Quality for saved jpeg images": "Calidad para imágenes jpeg guardadas",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Si la imagen PNG es más grande de 4 MB o cualquier dimensión es más grande que 4000, reduce la escala y guarda la copia como JPG",
+    "Use original name for output filename during batch process in extras tab": "Use el nombre original para el nombre del archivo de salida durante el batch process en la pestaña extras",
+    "When using 'Save' button, only save a single selected image": "Al usar el botón 'Guardar', solo guarda una sola imagen seleccionada",
+    "Do not add watermark to images": "No agregar watermark a las imágenes",
+    "Paths for saving": "Directorios para guardar",
+    "Output directory for images; if empty, defaults to three directories below": "Directorio de imágenes; si está vacío, se utilizan los siguientes 3 directorios",
+    "Output directory for txt2img images": "Directorio para guardar imágenes de txt2img",
+    "Output directory for img2img images": "Directorio para guardar imágenes de img2img",
+    "Output directory for images from extras tab": "Directorio para guardar imágenes de extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Directorio de grids; si está vacío, se utilizan los siguientes 2 directorios",
+    "Output directory for txt2img grids": "Directorio para guardar txt2img grids",
+    "Output directory for img2img grids": "Directorio para guardar img2img grids",
+    "Directory for saving images using the Save button": "Directorio para guardar imágenes usando el botón Guardar",
+    "Saving to a directory": "Guardando a un directorio",
+    "Save images to a subdirectory": "Guardar imágenes a un subdirectorio",
+    "Save grids to a subdirectory": "Guardar grids a un subdirectorio",
+    "When using \"Save\" button, save images to a subdirectory": "Al usar el botón \"Guardar\", guarda las imágenes en un subdirectorio",
+    "Directory name pattern": "Patrón nombre directorio",
+    "Max prompt words for [prompt_words] pattern": "Máximo de palabras en prompt [prompt_words] para patrón",
+    "Upscaling": "Upscaling",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamaño mosaico para ESRGAN upscalers. 0 = sin mosaico.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Solapar mosaico, en pixeles para ESRGAN upscalers. Valores bajos = unión visible.",
+    "Tile size for all SwinIR.": "Tamaño mosaico para SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Solapar mosaico, en pixeles para SwinIR. Valores bajos = unión visible.",
+    "LDSR processing steps. Lower = faster": "LDSR processing steps. Más bajo = rápido",
+    "Upscaler for img2img": "Upscaler para img2img",
+    "Upscale latent space image when doing hires. fix": "Upscale latent space al aplicar hires. fix",
+    "Face restoration": "Restauración de rostro",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer parámetro peso; 0 = máximo efecto; 1 = mínimo efecto",
+    "Move face restoration model from VRAM into RAM after processing": "Mover modelo de restauración de rostro del VRAM al RAM después de procesar",
+    "System": "Sistema",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Sondeos de uso de VRAM por segundo durante la generación. Establecer en 0 para deshabilitar.",
+    "Always print all generation info to standard output": "Imprime siempre toda la información de generación en la salida estándar",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Agrega una segunda barra de progreso a la consola que muestra el progreso de un trabajo completo.",
+    "Training": "Entrenamiento",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Mover VAE y CLIP al RAM al entrenar un hypernetwork. Ahorra VRAM.",
+    "Filename word regex": "Filename word regex",
+    "Filename join string": "Filename join string",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repeticiones para una sola imagen de entrada por epoch; utilizado solo para mostrar el número epoch",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Guarda un csv que contenga la pérdida en el directorio log cada N pasos, 0 para deshabilitar",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Checkpoints al cache en RAM",
+    "Hypernetwork strength": "Hypernetwork strength",
+    "Apply color correction to img2img results to match original colors.": "Aplica la corrección de color a los resultados de img2img para que coincidan con los colores originales.",
+    "Save a copy of image before applying color correction to img2img results": "Guarda una copia de la imagen antes de aplicar la corrección de color a los resultados de img2img",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Con img2img, hace exactamente la cantidad de pasos que especifica el slider (normalmente haría menos con menos eliminación de ruido).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Habilita la cuantificación en K samplers para obtener resultados más nítidos y limpios. Esto puede cambiar los seeds existentes. Requiere reiniciar para aplicar.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Énfasis: utiliza (texto) para que el modelo preste más atención al texto y [texto] para que preste menos atención",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Utiliza la implementación de énfasis antiguo. Puede ser útil para reproducir seeds anteriores.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Hace que los K-diffusion samplers produzcan las mismas imágenes en un lote que cuando se crea una sola imagen",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta la coherencia rellenando desde la última coma dentro de n tokens cuando se use más de 75 tokens",
+    "Filter NSFW content": "Filtrar contenido NSFW",
+    "Stop At last layers of CLIP model": "Detener en las últimas capas del modelo CLIP",
+    "Interrogate Options": "Opciones de Interrogar",
+    "Interrogate: keep models in VRAM": "Interrogar: mantener modelos en VRAM",
+    "Interrogate: use artists from artists.csv": "Interrogar: utilizar artistas de artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir rangos de coincidencias de etiquetas de modelos en los resultados (No tiene efecto en los interrogadores basados en subtítulos).",
+    "Interrogate: num_beams for BLIP": "Interrogar: num_beams para BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interrogar: longitud mínima de la descripción (excluyendo artistas, etc.)",
+    "Interrogate: maximum description length": "Interrogar: longitud máxima de la descripción",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: número máximo de líneas en el archivo de texto (0 = Sin límite)",
+    "Interrogate: deepbooru score threshold": "Interrogar: deepbooru score threshold",
+    "Interrogate: deepbooru sort alphabetically": "Interrogar: deepbooru ordenar alfabéticamente",
+    "use spaces for tags in deepbooru": "usar espacios para etiquetas en deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "corchetes de escape (\\) en deepbooru (por lo que se usan como corchetes literales y no para enfatizar)",
+    "User interface": "Interfaz de usuario",
+    "Show progressbar": "Mostrar barra de progreso",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Muestra el progreso de creación de la imagen cada N sampling steps. Establecer 0 para deshabilitar.",
+    "Show previews of all images generated in a batch as a grid": "Mostrar vistas previas de todas las imágenes generadas en un batch como un grid",
+    "Show grid in results for web": "Mostrar grids en resultados para web",
+    "Do not show any images in results for web": "No mostrar ninguna imagen en los resultados para web",
+    "Add model hash to generation information": "Agregar hash de modelo a la información de generación",
+    "Add model name to generation information": "Agregar nombre de modelo a la información de generación",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Al leer los parámetros de generación del texto en la interfaz de usuario (desde PNG Info o texto pegado), no cambia el modelo/checkpoint seleccionado.",
+    "Font for image grids that have text": "Tipografía para grids de imágenes que tienen texto",
+    "Enable full page image viewer": "Habilitar visor de imágenes de página completa",
+    "Show images zoomed in by default in full page image viewer": "Mostrar imágenes ampliadas de forma predeterminada en el visor de imágenes de página completa",
+    "Show generation progress in window title.": "Muestra el progreso de la generación en el título de la ventana del navegador.",
+    "Quicksettings list": "Lista de ajustes rápidos",
+    "Localization (requires restart)": "Traducción (requiere reiniciar)",
+    "Sampler parameters": "Parámetros sampler",
+    "Hide samplers in user interface (requires restart)": "Ocultar samplers en interfaz de usuario (requiere reiniciar)",
+    "eta (noise multiplier) for DDIM": "eta (noise multiplier) para DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) para ancestral samplers",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "uniform",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Solicitar notificaciones del navegador",
+    "Download localization template": "Descargar plantilla de traducción",
+    "Reload custom script bodies (No ui updates, No restart)": "Recargar custom script bodies (Sin actualizar UI, Sin reiniciar)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Reiniciar Gradio and Refrescar componentes (Custom Scripts, ui.py, js and css only)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (presiona Ctrl+Enter o Alt+Enter para generar)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (presiona Ctrl+Enter o Alt+Enter para generar)",
+    "Add a random artist to the prompt.": "Agregar un artista aleatorio al prompt.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Leer los parámetros de generación del prompt o de la última generación si el prompt está vacío en la interfaz de usuario.",
+    "Save style": "Guardar estilo",
+    "Apply selected styles to current prompt": "Aplicar estilos seleccionados al prompt",
+    "Stop processing current image and continue processing.": "Dejar de procesar la imagen actual y continuar procesando.",
+    "Stop processing images and return any results accumulated so far.": "Dejar de procesar imágenes y devuelva los resultados acumulados hasta el momento.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Estilo a aplicar; los estilos tienen componentes tanto para prompts positivos como negativos y se aplican a ambos",
+    "Do not do anything special": "No hacer nada especial",
+    "Which algorithm to use to produce the image": "Qué algoritmo usar para producir la imagen",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - muy creativo, cada uno puede obtener una imagen completamente diferente dependiendo del conteo de steps, configurar los steps a más de 30-40 no ayuda",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - funcionan mejor para inpainting",
+    "Produce an image that can be tiled.": "Produce una imagen que puede usarse como mosaico.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Usa un proceso de dos pasos para crear parcialmente una imagen con una resolución más pequeña, mejora la escala y luego mejora los detalles sin cambiar la composición",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determina qué tan poco respeto debe tener el algoritmo por el contenido de la imagen. En 0, nada cambiará y en 1 obtendrá una imagen no relacionada. Con valores por debajo de 1.0, el procesamiento tomará menos steps de los que especifica el slider de Sampling Steps.",
+    "How many batches of images to create": "Cuantos batches de imágenes para crear",
+    "How many image to create in a single batch": "Cuantas imágenes para crear en un solo batch",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - con qué fuerza debe ajustarse la imagen al prompt: los valores más bajos producen resultados más creativos",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Un valor que determina la salida del generador de números aleatorios: si creas una imagen con los mismos parámetros y el seed que otra imagen, obtendrás el mismo resultado",
+    "Set seed to -1, which will cause a new random number to be used every time": "Establece el seed a -1, lo que hará que se use un nuevo número aleatorio cada vez",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Reutilice el seed de la última generación, muy útil si fue aleatoria",
+    "Seed of a different picture to be mixed into the generation.": "Seed de una imagen diferente para ser mezclada en la generación.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Qué fuerte de una variación para producir. En 0, no habrá ningún efecto. En 1, obtendrá la imagen completa con variation seed (excepto para ancestral samplers, donde solo obtendrás algo).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Intenta producir una imagen similar a la que se habría producido con el mismo seed a la resolución especificada",
+    "Separate values for X axis using commas.": "Separar valores para X usando comas.",
+    "Separate values for Y axis using commas.": "Separar valores para Y usando comas.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Escribe la imagen en un directorio (predeterminado: log/images) y los parámetros de generación en el archivo csv.",
+    "Open images output directory": "Abrir directorio de imágenes",
+    "How much to blur the mask before processing, in pixels.": "Cuánto blur al mask antes de procesar, en píxeles.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Qué poner dentro del área con mask antes de procesarlo con Stable Diffusion.",
+    "fill it with colors of the image": "rellenarlo con los colores de la imagen",
+    "keep whatever was there originally": "mantener lo que estaba allí originalmente",
+    "fill it with latent space noise": "rellenarlo con latent space noise",
+    "fill it with latent space zeroes": "rellenarlo con latent space zeroes",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Upscale la región con mask a la resolución objetivo, vuelve a pintar, reduce la escala hacia atrás y pégala en la imagen original",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Cambia el tamaño de la imagen a la resolución destino. A menos que la altura y el ancho coincidan, obtendrás una relación de aspecto incorrecta.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Cambia el tamaño de la imagen para que la totalidad de la resolución destino se llene con la imagen. Recorta las partes que sobresalen.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Cambia el tamaño de la imagen para que la totalidad de la imagen esté dentro de la resolución de destino. Rellena el espacio vacío con los colores de la imagen.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Cuántas veces repetir el procesamiento de una imagen y usarla como entrada para la próxima iteración",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "En modo loopback, en cada bucle, la fuerza de eliminación de ruido se multiplica por este valor. <1 significa variedad decreciente, por lo que su secuencia convergerá en una imagen fija. >1 significa aumentar la variedad, por lo que su secuencia se volverá cada vez más caótica.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Para SD upscale, cuánta superposición en píxeles debe haber entre mosaicos. Los mosaicos se superponen de modo que cuando se fusionan nuevamente en una imagen, no hay una unión claramente visible.",
+    "A directory on the same machine where the server is running.": "Un directorio en la misma máquina donde se ejecuta el servidor.",
+    "Leave blank to save images to the default path.": "Déjalo en blanco para guardar las imágenes en la ruta predeterminada.",
+    "Result = A * (1 - M) + B * M": "Resultado = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Resultado = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "Primer y último dígito debe ser 1. ej:'1, 2, 1'",
+    "Path to directory with input images": "Ruta al directorio con imágenes de entrada",
+    "Path to directory where to write outputs": "Ruta al directorio donde escribir salidas",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa las siguientes etiquetas para definir cómo se eligen los nombres de archivo para las imágenes: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; dejar vacío para utilizar predeterminados.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Si esta opción está habilitada, el watermark no se agregará a las imágenes creadas. Advertencia: si no agregas un watermark, es posible que te estés comportando de manera poco ética.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa las siguiente etiquetas para definir cómo los subdirectorios para imágenes y grids son seleccionados: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; dejar vacío para utilizar predeterminados.",
+    "Restore low quality faces using GFPGAN neural network": "Restaurar rostros de baja calidad utilizando GFPGAN neural network",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Esta expresión regular se usará para extraer palabras del nombre de archivo y se unirán usando la opción a continuación en el texto de la etiqueta que se usa para el entrenamiento. Dejar vacío para mantener el texto del nombre de archivo tal como está.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Esta cadena se usará para unir palabras divididas en una sola línea si la opción anterior está habilitada.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nombres de configuración, separados por comas, para configuraciones que deben ir a la barra de acceso rápido en la parte superior, en lugar de la pestaña de configuración habitual. Ver modules/shared.py para configurar los nombres. Requiere reiniciar para aplicar.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Si este valor no es cero, se agregará al seed y se usará para inicializar RNG para ruidos cuando se usan samplers con Eta. Puedes usar esto para producir aún más variaciones de imágenes, o puedes usar esto para hacer coincidir imágenes de otro software si sabes lo que estás haciendo."
+}

From 73c4a8138cd547a40337053d78a6efb4d9627352 Mon Sep 17 00:00:00 2001
From: innovaciones <sonygarcia99@gmail.com>
Date: Mon, 24 Oct 2022 21:12:08 -0500
Subject: [PATCH 145/321] Fixes

---
 localizations/es_ES.json | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/localizations/es_ES.json b/localizations/es_ES.json
index e58a17fe..d9ca4ef7 100644
--- a/localizations/es_ES.json
+++ b/localizations/es_ES.json
@@ -197,8 +197,8 @@
     "Weighted sum": "Weighted sum",
     "Add difference": "Add difference",
     "Save as float16": "Guardar como float16",
-    "See": "Ver",
-    "wiki": "wiki",
+    "See": "Ver ",
+    "wiki": "wiki ",
     "for detailed explanation.": "para una explicación detallada.",
     "Create embedding": "Crear embedding",
     "Create hypernetwork": "Crear hypernetwork",
@@ -209,7 +209,7 @@
     "Overwrite Old Embedding": "Sobrescribir Embedding Anterior",
     "Modules": "Módulos",
     "Enter hypernetwork layer structure": "Ingresa la estructura de capa del hypernetwork",
-    "Select activation function of hypernetwork": "Seleccione la función de activación del hypernetwork",
+    "Select activation function of hypernetwork": "Selecciona la función de activación del hypernetwork",
     "linear": "linear",
     "relu": "relu",
     "leakyrelu": "leakyrelu",
@@ -232,7 +232,7 @@
     "Split image threshold": "Threshold imagen dividida",
     "Split image overlap ratio": "Overlap ratio imagen dividida",
     "Preprocess": "Preproceso",
-    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Entrenar un embedding o Hypernetwork; debes especificar un directorio con un conjunto de imágenes con una proporción de 1:1",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Entrenar un embedding o Hypernetwork; debes especificar un directorio con un conjunto de imágenes con una proporción de 1:1 ",
     "[wiki]": "[wiki]",
     "Embedding": "Embedding",
     "Embedding Learning rate": "Embedding Learning rate",
@@ -357,7 +357,7 @@
     "Request browser notifications": "Solicitar notificaciones del navegador",
     "Download localization template": "Descargar plantilla de traducción",
     "Reload custom script bodies (No ui updates, No restart)": "Recargar custom script bodies (Sin actualizar UI, Sin reiniciar)",
-    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Reiniciar Gradio and Refrescar componentes (Custom Scripts, ui.py, js and css only)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Reiniciar Gradio y Refrescar componentes (Custom Scripts, ui.py, js y css)",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (presiona Ctrl+Enter o Alt+Enter para generar)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (presiona Ctrl+Enter o Alt+Enter para generar)",
     "Add a random artist to the prompt.": "Agregar un artista aleatorio al prompt.",

From b38370275275bf6e11575000f39c50c6e90b1f7a Mon Sep 17 00:00:00 2001
From: ritosonn <ritosonn@gmail.com>
Date: Fri, 21 Oct 2022 23:46:32 +0900
Subject: [PATCH 146/321] fix #3145 #3093

---
 modules/sd_samplers.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 0b408a70..3670b57d 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -228,7 +228,7 @@ class VanillaStableDiffusionSampler:
             unconditional_conditioning = {"c_concat": [image_conditioning], "c_crossattn": [unconditional_conditioning]}
             
             
-        samples = self.launch_sampling(steps, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
+        samples = self.launch_sampling(t_enc + 1, lambda: self.sampler.decode(x1, conditioning, t_enc, unconditional_guidance_scale=p.cfg_scale, unconditional_conditioning=unconditional_conditioning))
 
         return samples
 
@@ -429,7 +429,7 @@ class KDiffusionSampler:
         self.model_wrap_cfg.init_latent = x
         self.last_latent = x
 
-        samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
+        samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args={
             'cond': conditioning, 
             'image_cond': image_conditioning, 
             'uncond': unconditional_conditioning, 

From 77a320f406a76425176b8ca4c034c362b6734713 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 24 Oct 2022 17:23:51 +0300
Subject: [PATCH 147/321] do not stop execution when script's callback
 misbehaves and report which script it was

---
 modules/script_callbacks.py | 45 +++++++++++++++++++++++++++++--------
 1 file changed, 36 insertions(+), 9 deletions(-)

diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index f46d3d9a..5e9a6d4b 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -1,4 +1,15 @@
+import sys
+import traceback
+from collections import namedtuple
+import inspect
 
+
+def report_exception(c, job):
+    print(f"Error executing callback {job} for {c.script}", file=sys.stderr)
+    print(traceback.format_exc(), file=sys.stderr)
+
+
+ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
@@ -10,28 +21,44 @@ def clear_callbacks():
 
 
 def model_loaded_callback(sd_model):
-    for callback in callbacks_model_loaded:
-        callback(sd_model)
+    for c in callbacks_model_loaded:
+        try:
+            c.callback(sd_model)
+        except Exception:
+            report_exception(c, 'model_loaded_callback')
 
 
 def ui_tabs_callback():
     res = []
     
-    for callback in callbacks_ui_tabs:
-        res += callback() or []
+    for c in callbacks_ui_tabs:
+        try:
+            res += c.callback() or []
+        except Exception:
+            report_exception(c, 'ui_tabs_callback')
 
     return res
 
 
 def ui_settings_callback():
-    for callback in callbacks_ui_settings:
-        callback()
+    for c in callbacks_ui_settings:
+        try:
+            c.callback()
+        except Exception:
+            report_exception(c, 'ui_settings_callback')
+
+
+def add_callback(callbacks, fun):
+    stack = [x for x in inspect.stack() if x.filename != __file__]
+    filename = stack[0].filename if len(stack) > 0 else 'unknown file'
+
+    callbacks.append(ScriptCallback(filename, fun))
 
 
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
     passed as an argument"""
-    callbacks_model_loaded.append(callback)
+    add_callback(callbacks_model_loaded, callback)
 
 
 def on_ui_tabs(callback):
@@ -44,10 +71,10 @@ def on_ui_tabs(callback):
     title is tab text displayed to user in the UI
     elem_id is HTML id for the tab
     """
-    callbacks_ui_tabs.append(callback)
+    add_callback(callbacks_ui_tabs, callback)
 
 
 def on_ui_settings(callback):
     """register a function to be called before UI settings are populated; add your settings
     by using shared.opts.add_option(shared.OptionInfo(...)) """
-    callbacks_ui_settings.append(callback)
+    add_callback(callbacks_ui_settings, callback)

From 4c24347e45776d505937856ab280548d9298f0a8 Mon Sep 17 00:00:00 2001
From: brkirch <brkirch@users.noreply.github.com>
Date: Mon, 24 Oct 2022 23:04:50 -0400
Subject: [PATCH 148/321] Remove BSRGAN from --use-cpu, add SwinIR

---
 modules/devices.py      |  2 +-
 modules/shared.py       |  6 +++---
 modules/swinir_model.py | 12 ++++++------
 3 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/modules/devices.py b/modules/devices.py
index dc1f3cdd..033a42d5 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -45,7 +45,7 @@ def enable_tf32():
 
 errors.run(enable_tf32, "Enabling TF32")
 
-device = device_interrogate = device_gfpgan = device_bsrgan = device_esrgan = device_scunet = device_codeformer = None
+device = device_interrogate = device_gfpgan = device_swinir = device_esrgan = device_scunet = device_codeformer = None
 dtype = torch.float16
 dtype_vae = torch.float16
 
diff --git a/modules/shared.py b/modules/shared.py
index 76cbb1bd..308fccce 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -58,7 +58,7 @@ parser.add_argument("--opt-split-attention", action='store_true', help="force-en
 parser.add_argument("--opt-split-attention-invokeai", action='store_true', help="force-enables InvokeAI's cross-attention layer optimization. By default, it's on when cuda is unavailable.")
 parser.add_argument("--opt-split-attention-v1", action='store_true', help="enable older version of split attention optimization that does not consume all the VRAM it can find")
 parser.add_argument("--disable-opt-split-attention", action='store_true', help="force-disables cross-attention layer optimization")
-parser.add_argument("--use-cpu", nargs='+',choices=['all', 'sd', 'interrogate', 'gfpgan', 'bsrgan', 'esrgan', 'scunet', 'codeformer'], help="use CPU as torch device for specified modules", default=[], type=str.lower)
+parser.add_argument("--use-cpu", nargs='+',choices=['all', 'sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'], help="use CPU as torch device for specified modules", default=[], type=str.lower)
 parser.add_argument("--listen", action='store_true', help="launch gradio with 0.0.0.0 as server name, allowing to respond to network requests")
 parser.add_argument("--port", type=int, help="launch gradio with given server port, you need root/admin rights for ports < 1024, defaults to 7860 if available", default=None)
 parser.add_argument("--show-negative-prompt", action='store_true', help="does not do anything", default=False)
@@ -96,8 +96,8 @@ restricted_opts = [
     "outdir_save",
 ]
 
-devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_bsrgan, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
-(devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'bsrgan', 'esrgan', 'scunet', 'codeformer'])
+devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_swinir, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
+(devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'])
 
 device = devices.device
 weight_load_location = None if cmd_opts.lowram else "cpu"
diff --git a/modules/swinir_model.py b/modules/swinir_model.py
index baa02e3d..facd262d 100644
--- a/modules/swinir_model.py
+++ b/modules/swinir_model.py
@@ -7,8 +7,8 @@ from PIL import Image
 from basicsr.utils.download_util import load_file_from_url
 from tqdm import tqdm
 
-from modules import modelloader
-from modules.shared import cmd_opts, opts, device
+from modules import modelloader, devices
+from modules.shared import cmd_opts, opts
 from modules.swinir_model_arch import SwinIR as net
 from modules.swinir_model_arch_v2 import Swin2SR as net2
 from modules.upscaler import Upscaler, UpscalerData
@@ -42,7 +42,7 @@ class UpscalerSwinIR(Upscaler):
         model = self.load_model(model_file)
         if model is None:
             return img
-        model = model.to(device)
+        model = model.to(devices.device_swinir)
         img = upscale(img, model)
         try:
             torch.cuda.empty_cache()
@@ -111,7 +111,7 @@ def upscale(
     img = img[:, :, ::-1]
     img = np.moveaxis(img, 2, 0) / 255
     img = torch.from_numpy(img).float()
-    img = img.unsqueeze(0).to(device)
+    img = img.unsqueeze(0).to(devices.device_swinir)
     with torch.no_grad(), precision_scope("cuda"):
         _, _, h_old, w_old = img.size()
         h_pad = (h_old // window_size + 1) * window_size - h_old
@@ -139,8 +139,8 @@ def inference(img, model, tile, tile_overlap, window_size, scale):
     stride = tile - tile_overlap
     h_idx_list = list(range(0, h - tile, stride)) + [h - tile]
     w_idx_list = list(range(0, w - tile, stride)) + [w - tile]
-    E = torch.zeros(b, c, h * sf, w * sf, dtype=torch.half, device=device).type_as(img)
-    W = torch.zeros_like(E, dtype=torch.half, device=device)
+    E = torch.zeros(b, c, h * sf, w * sf, dtype=torch.half, device=devices.device_swinir).type_as(img)
+    W = torch.zeros_like(E, dtype=torch.half, device=devices.device_swinir)
 
     with tqdm(total=len(h_idx_list) * len(w_idx_list), desc="SwinIR tiles") as pbar:
         for h_idx in h_idx_list:

From faed465a0b1a7d19669568738c93e04907c10415 Mon Sep 17 00:00:00 2001
From: brkirch <brkirch@users.noreply.github.com>
Date: Tue, 25 Oct 2022 02:01:57 -0400
Subject: [PATCH 149/321] MPS Upscalers Fix

Get ESRGAN, SCUNet, and SwinIR working correctly on MPS by ensuring memory is contiguous for tensor views before sending to MPS device.
---
 modules/devices.py      | 4 ++++
 modules/esrgan_model.py | 2 +-
 modules/scunet_model.py | 3 +--
 modules/swinir_model.py | 2 +-
 4 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/modules/devices.py b/modules/devices.py
index 033a42d5..7511e1dc 100644
--- a/modules/devices.py
+++ b/modules/devices.py
@@ -81,3 +81,7 @@ def autocast(disable=False):
         return contextlib.nullcontext()
 
     return torch.autocast("cuda")
+
+# MPS workaround for https://github.com/pytorch/pytorch/issues/79383
+def mps_contiguous(input_tensor, device): return input_tensor.contiguous() if device.type == 'mps' else input_tensor
+def mps_contiguous_to(input_tensor, device): return mps_contiguous(input_tensor, device).to(device)
diff --git a/modules/esrgan_model.py b/modules/esrgan_model.py
index a49e2258..a13cf6ac 100644
--- a/modules/esrgan_model.py
+++ b/modules/esrgan_model.py
@@ -190,7 +190,7 @@ def upscale_without_tiling(model, img):
     img = img[:, :, ::-1]
     img = np.ascontiguousarray(np.transpose(img, (2, 0, 1))) / 255
     img = torch.from_numpy(img).float()
-    img = img.unsqueeze(0).to(devices.device_esrgan)
+    img = devices.mps_contiguous_to(img.unsqueeze(0), devices.device_esrgan)
     with torch.no_grad():
         output = model(img)
     output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
diff --git a/modules/scunet_model.py b/modules/scunet_model.py
index 36a996bf..59532274 100644
--- a/modules/scunet_model.py
+++ b/modules/scunet_model.py
@@ -54,9 +54,8 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
         img = img[:, :, ::-1]
         img = np.moveaxis(img, 2, 0) / 255
         img = torch.from_numpy(img).float()
-        img = img.unsqueeze(0).to(device)
+        img = devices.mps_contiguous_to(img.unsqueeze(0), device)
 
-        img = img.to(device)
         with torch.no_grad():
             output = model(img)
         output = output.squeeze().float().cpu().clamp_(0, 1).numpy()
diff --git a/modules/swinir_model.py b/modules/swinir_model.py
index facd262d..4253b66d 100644
--- a/modules/swinir_model.py
+++ b/modules/swinir_model.py
@@ -111,7 +111,7 @@ def upscale(
     img = img[:, :, ::-1]
     img = np.moveaxis(img, 2, 0) / 255
     img = torch.from_numpy(img).float()
-    img = img.unsqueeze(0).to(devices.device_swinir)
+    img = devices.mps_contiguous_to(img.unsqueeze(0), devices.device_swinir)
     with torch.no_grad(), precision_scope("cuda"):
         _, _, h_old, w_old = img.size()
         h_pad = (h_old // window_size + 1) * window_size - h_old

From 91c1e1e6a92061b99c92a5b1d548535907d2ad96 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 25 Oct 2022 00:46:28 +0900
Subject: [PATCH 150/321] fix default filename pattern

---
 modules/images.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index 0e044af2..286de2ae 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -477,8 +477,10 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     if forced_filename is None:
         if short_filename or seed is None:
             file_decoration = ""
-        else:
+        elif opts.save_to_dirs:
             file_decoration = opts.samples_filename_pattern or "[seed]"
+        else:
+            file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
 
         add_number = opts.save_images_add_number or file_decoration == ''
 

From ff305acd51cc71c5eea8aee0f537a26a6d1ba2a1 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Tue, 25 Oct 2022 15:33:43 +0800
Subject: [PATCH 151/321] some rights for extensions

---
 extensions/stable-diffusion-webui-inspiration | 2 +-
 modules/shared.py                             | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
index c50c03ac..c4b9f5c2 160000
--- a/extensions/stable-diffusion-webui-inspiration
+++ b/extensions/stable-diffusion-webui-inspiration
@@ -1 +1 @@
-Subproject commit c50c03ac8fd2f6317d17d0c8c7c1ce26e6fe5cd7
+Subproject commit c4b9f5c233c8619ee140b763e706edc26cae0f1d
diff --git a/modules/shared.py b/modules/shared.py
index 76cbb1bd..7b1fadf2 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -82,6 +82,7 @@ parser.add_argument("--api", action='store_true', help="use api=True to launch t
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
 parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
 parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
+parser.add_argument("--administrator", type=str, help="Administrator rights", default=None)
 
 cmd_opts = parser.parse_args()
 restricted_opts = [

From 3e15f8e0f5cc87507f77546d92435670644dbd18 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Tue, 25 Oct 2022 12:16:17 +0300
Subject: [PATCH 152/321] update callbacks code for #3549

---
 modules/script_callbacks.py | 22 ++++++++++++++++------
 1 file changed, 16 insertions(+), 6 deletions(-)

diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 9933fa38..dc520abc 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -49,6 +49,14 @@ def ui_settings_callback():
             report_exception(c, 'ui_settings_callback')
 
 
+def image_saved_callback(image, p, fullfn, txt_fullfn):
+    for c in callbacks_image_saved:
+        try:
+            c.callback(image, p, fullfn, txt_fullfn)
+        except Exception:
+            report_exception(c, 'image_saved_callback')
+
+
 def add_callback(callbacks, fun):
     stack = [x for x in inspect.stack() if x.filename != __file__]
     filename = stack[0].filename if len(stack) > 0 else 'unknown file'
@@ -56,9 +64,6 @@ def add_callback(callbacks, fun):
     callbacks.append(ScriptCallback(filename, fun))
 
 
-def image_saved_callback(image, p, fullfn, txt_fullfn):
-    for callback in callbacks_image_saved:
-        callback(image, p, fullfn, txt_fullfn)
 
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
@@ -82,9 +87,14 @@ def on_ui_tabs(callback):
 def on_ui_settings(callback):
     """register a function to be called before UI settings are populated; add your settings
     by using shared.opts.add_option(shared.OptionInfo(...)) """
-    callbacks_ui_settings.append(callback)
+    add_callback(callbacks_ui_settings, callback)
 
 
 def on_save_imaged(callback):
-    """register a function to call after modules.images.save_image is called returning same values, original image and p """
-    callbacks_image_saved.append(callback)
+    """register a function to be called after modules.images.save_image is called.
+    The callback is called with three arguments:
+        - p - procesing object (or a dummy object with same fields if the image is saved using save button)
+        - fullfn - image filename
+        - txt_fullfn - text file with parameters; may be None
+    """
+    add_callback(callbacks_image_saved, callback)

From 46cc0b3bc6833a793179e86ffae2498a54cdddaf Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 25 Oct 2022 18:28:09 +0900
Subject: [PATCH 153/321] Update strings for some custom script/extensions

---
 localizations/ko_KR.json | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 52ba4020..07c2797c 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -73,6 +73,7 @@
   "Create images embedding": "이미지 임베딩 생성하기",
   "Crop and resize": "잘라낸 후 리사이징",
   "Crop to fit": "잘라내서 맞추기",
+  "custom fold": "커스텀 경로",
   "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
   "Dataset directory": "데이터셋 경로",
   "DDIM": "DDIM",
@@ -108,6 +109,7 @@
   "Embedding": "임베딩",
   "Embedding Learning rate": "임베딩 학습률",
   "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "강조 : (텍스트)를 이용해 모델의 텍스트에 대한 가중치를 더 강하게 주고 [텍스트]를 이용해 더 약하게 줍니다.",
+  "Enable Autocomplete": "태그 자동완성 사용",
   "Enable full page image viewer": "전체 페이지 이미지 뷰어 활성화",
   "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "더 예리하고 깔끔한 결과물을 위해 K 샘플러들에 양자화를 적용합니다. 존재하는 시드가 변경될 수 있습니다. 재시작이 필요합니다.",
   "End Page": "마지막 페이지",
@@ -196,6 +198,7 @@
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
   "Input directory": "인풋 이미지 경로",
+  "Input images directory": "이미지 경로 입력",
   "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
@@ -259,10 +262,12 @@
   "None": "없음",
   "Nothing": "없음",
   "Nothing found in the image.": "Nothing found in the image.",
+  "Number of columns on the page": "각 페이지마다 표시할 가로줄 수",
   "Number of grids in each row": "각 세로줄마다 표시될 그리드 수",
   "number of images to delete consecutively next": "연속적으로 삭제할 이미지 수",
   "Number of pictures displayed on each page": "각 페이지에 표시될 이미지 수",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
+  "Number of rows on the page": "각 페이지마다 표시할 세로줄 수",
   "Number of vectors per token": "토큰별 벡터 수",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
@@ -470,6 +475,7 @@
   "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지와 그리드의 하위 디렉토리명의 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",
   "Use old emphasis implementation. Can be useful to reproduce old seeds.": "옛 방식의 강조 구현을 사용합니다. 옛 시드를 재현하는 데 효과적일 수 있습니다.",
   "Use original name for output filename during batch process in extras tab": "부가기능 탭에서 이미지를 여러장 처리 시 결과물 파일명에 기존 파일명 사용하기",
+  "Use same seed for each image": "각 이미지에 동일한 시드 사용",
   "use spaces for tags in deepbooru": "deepbooru에서 태그에 공백 사용",
   "User interface": "사용자 인터페이스",
   "Var. seed": "바리에이션 시드",
@@ -486,6 +492,7 @@
   "Which algorithm to use to produce the image": "이미지를 생성할 때 사용할 알고리즘",
   "Width": "가로",
   "wiki": " 위키",
+  "Wildcards": "와일드카드",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "이미지를 설정된 사이즈의 2배로 업스케일합니다. 상단의 가로와 세로 슬라이더를 이용해 타일 사이즈를 지정하세요.",
   "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "이미지→이미지 진행 시, 슬라이더로 설정한 스텝 수를 정확히 실행하기 (일반적으로 디노이즈 강도가 낮을수록 실제 설정된 스텝 수보다 적게 진행됨)",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "이미지를 경로에 저장하고, 설정값들을 csv 파일로 저장합니다. (기본 경로 - log/images)",

From 9ba439b53313ef78984dd8e39f25b34501188ee2 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Tue, 25 Oct 2022 18:48:07 +0800
Subject: [PATCH 154/321] need some rights for extensions

---
 modules/shared.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/shared.py b/modules/shared.py
index 7b1fadf2..b5975707 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -82,7 +82,7 @@ parser.add_argument("--api", action='store_true', help="use api=True to launch t
 parser.add_argument("--nowebui", action='store_true', help="use api=True to launch the api instead of the webui")
 parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load model to quickly launch UI")
 parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
-parser.add_argument("--administrator", type=str, help="Administrator rights", default=None)
+parser.add_argument("--administrator", action='store_true', help="Administrator rights", default=False)
 
 cmd_opts = parser.parse_args()
 restricted_opts = [

From f9549d1cbb3f1d7d1f0fb70375a06e31f9c5dd9d Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Tue, 25 Oct 2022 11:14:12 -0700
Subject: [PATCH 155/321] Added option to use unmasked conditioning image.

---
 modules/processing.py | 6 +++++-
 modules/shared.py     | 1 +
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index c61bbfbd..96f56b0d 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -768,7 +768,11 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
 
             # Create another latent image, this time with a masked version of the original input.
             conditioning_mask = conditioning_mask.to(image.device)
-            conditioning_image = image * (1.0 - conditioning_mask)
+
+            conditioning_image = image
+            if shared.opts.inpainting_mask_image:
+                conditioning_image = conditioning_image * (1.0 - conditioning_mask)                
+            
             conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(conditioning_image))
 
             # Create the concatenated conditioning tensor to be fed to `c_concat`
diff --git a/modules/shared.py b/modules/shared.py
index 308fccce..1d0ff1a1 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -320,6 +320,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     's_tmin':  OptionInfo(0.0, "sigma tmin",  gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
+    "inpainting_mask_image": OptionInfo(True, "Mask original image for conditioning used by inpainting model."),
 }))
 
 

From 605d27687f433c0fefb9025aace7dc94f0ebd454 Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Tue, 25 Oct 2022 12:20:54 -0700
Subject: [PATCH 156/321] Added conditioning image masking to xy_grid. Use
 `True` and `False` to select values.

---
 modules/processing.py | 2 +-
 scripts/xy_grid.py    | 3 +++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 96f56b0d..23ee5e02 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -770,7 +770,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             conditioning_mask = conditioning_mask.to(image.device)
 
             conditioning_image = image
-            if shared.opts.inpainting_mask_image:
+            if getattr(self, "inpainting_mask_image", shared.opts.inpainting_mask_image):
                 conditioning_image = conditioning_image * (1.0 - conditioning_mask)                
             
             conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(conditioning_image))
diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py
index eff0c942..0843adcc 100644
--- a/scripts/xy_grid.py
+++ b/scripts/xy_grid.py
@@ -153,6 +153,8 @@ def str_permutations(x):
     """dummy function for specifying it in AxisOption's type when you want to get a list of permutations"""
     return x
 
+def str_to_bool(x):
+    return "true" in x.lower().strip()
 
 AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value", "confirm"])
 AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value", "confirm"])
@@ -178,6 +180,7 @@ axis_options = [
     AxisOption("Eta", float, apply_field("eta"), format_value_add_label, None),
     AxisOption("Clip skip", int, apply_clip_skip, format_value_add_label, None),
     AxisOption("Denoising", float, apply_field("denoising_strength"), format_value_add_label, None),
+    AxisOption("Mask Conditioning Image", str_to_bool, apply_field("inpainting_mask_image"), format_value_add_label, None),
 ]
 
 

From 3e6c2420c1177e9e79f2b566a5a7795b7416e34a Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Tue, 25 Oct 2022 13:10:58 -0700
Subject: [PATCH 157/321] improve debug markers, fix algo weighting

---
 modules/textual_inversion/autocrop.py | 203 ++++++++++++++++----------
 1 file changed, 127 insertions(+), 76 deletions(-)

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
index b2f9241c..caaf18c8 100644
--- a/modules/textual_inversion/autocrop.py
+++ b/modules/textual_inversion/autocrop.py
@@ -1,4 +1,5 @@
 import cv2
+import os
 from collections import defaultdict
 from math import log, sqrt
 import numpy as np
@@ -26,19 +27,9 @@ def crop_image(im, settings):
       scale_by = settings.crop_height / im.height
 
   im = im.resize((int(im.width * scale_by), int(im.height * scale_by)))
+  im_debug = im.copy()
 
-  if im.width == settings.crop_width and im.height == settings.crop_height:
-    if settings.annotate_image:
-      d = ImageDraw.Draw(im)
-      rect = [0, 0, im.width, im.height]
-      rect[2] -= 1
-      rect[3] -= 1
-      d.rectangle(rect, outline=GREEN)
-      if settings.destop_view_image:
-        im.show()
-    return im
-
-  focus = focal_point(im, settings)
+  focus = focal_point(im_debug, settings)
 
   # take the focal point and turn it into crop coordinates that try to center over the focal
   # point but then get adjusted back into the frame
@@ -62,89 +53,143 @@ def crop_image(im, settings):
 
   crop = [x1, y1, x2, y2]
 
+  results = []
+
+  results.append(im.crop(tuple(crop)))
+
   if settings.annotate_image:
-    d = ImageDraw.Draw(im)
+    d = ImageDraw.Draw(im_debug)
     rect = list(crop)
     rect[2] -= 1
     rect[3] -= 1
     d.rectangle(rect, outline=GREEN)
+    results.append(im_debug)
     if settings.destop_view_image:
-      im.show()
+      im_debug.show()
 
-  return im.crop(tuple(crop))
+  return results
 
 def focal_point(im, settings):
     corner_points = image_corner_points(im, settings)
     entropy_points = image_entropy_points(im, settings)
     face_points = image_face_points(im, settings)
 
-    total_points = len(corner_points) + len(entropy_points) + len(face_points)
-
-    corner_weight = settings.corner_points_weight
-    entropy_weight = settings.entropy_points_weight
-    face_weight = settings.face_points_weight
-
-    weight_pref_total = corner_weight + entropy_weight + face_weight
-
-    # weight things
     pois = []
-    if weight_pref_total == 0 or total_points == 0: 
-      return pois
 
-    pois.extend(
-      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (corner_weight/weight_pref_total) / (len(corner_points)/total_points) )) for p in corner_points ]
-    )
-    pois.extend(
-      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (entropy_weight/weight_pref_total) / (len(entropy_points)/total_points) )) for p in entropy_points ]
-    )
-    pois.extend(
-      [ PointOfInterest( p.x, p.y, weight=p.weight * ( (face_weight/weight_pref_total) / (len(face_points)/total_points) )) for p in face_points ]
-    )
+    weight_pref_total = 0
+    if len(corner_points) > 0:
+      weight_pref_total += settings.corner_points_weight
+    if len(entropy_points) > 0:
+      weight_pref_total += settings.entropy_points_weight
+    if len(face_points) > 0:
+      weight_pref_total += settings.face_points_weight
+
+    corner_centroid = None
+    if len(corner_points) > 0:
+      corner_centroid = centroid(corner_points)
+      corner_centroid.weight = settings.corner_points_weight / weight_pref_total 
+      pois.append(corner_centroid)
+
+    entropy_centroid = None
+    if len(entropy_points) > 0:
+      entropy_centroid = centroid(entropy_points)
+      entropy_centroid.weight = settings.entropy_points_weight / weight_pref_total
+      pois.append(entropy_centroid)
+
+    face_centroid = None
+    if len(face_points) > 0:
+      face_centroid = centroid(face_points)
+      face_centroid.weight = settings.face_points_weight / weight_pref_total 
+      pois.append(face_centroid)
 
     average_point = poi_average(pois, settings)
 
     if settings.annotate_image:
       d = ImageDraw.Draw(im)
-      for f in face_points:
-        d.rectangle(f.bounding(f.size), outline=RED)
-      for f in entropy_points:
-        d.rectangle(f.bounding(30), outline=BLUE)
-      for poi in pois:
-        w = max(4, 4 * 0.5 * sqrt(poi.weight))
-        d.ellipse(poi.bounding(w), fill=BLUE)
-      d.ellipse(average_point.bounding(25), outline=GREEN)
+      max_size = min(im.width, im.height) * 0.07
+      if corner_centroid is not None:
+        color = BLUE
+        box = corner_centroid.bounding(max_size * corner_centroid.weight)
+        d.text((box[0], box[1]-15), "Edge: %.02f" % corner_centroid.weight, fill=color)
+        d.ellipse(box, outline=color)
+        if len(corner_points) > 1:
+          for f in corner_points:
+            d.rectangle(f.bounding(4), outline=color)
+      if entropy_centroid is not None:
+        color = "#ff0"
+        box = entropy_centroid.bounding(max_size * entropy_centroid.weight)
+        d.text((box[0], box[1]-15), "Entropy: %.02f" % entropy_centroid.weight, fill=color)
+        d.ellipse(box, outline=color)
+        if len(entropy_points) > 1:
+          for f in entropy_points:
+            d.rectangle(f.bounding(4), outline=color)
+      if face_centroid is not None:
+        color = RED
+        box = face_centroid.bounding(max_size * face_centroid.weight)
+        d.text((box[0], box[1]-15), "Face: %.02f" % face_centroid.weight, fill=color)
+        d.ellipse(box, outline=color)
+        if len(face_points) > 1:
+          for f in face_points:
+            d.rectangle(f.bounding(4), outline=color)
+
+      d.ellipse(average_point.bounding(max_size), outline=GREEN)
       
     return average_point
 
 
 def image_face_points(im, settings):
-    np_im = np.array(im)
-    gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
+    if settings.dnn_model_path is not None:
+      detector = cv2.FaceDetectorYN.create(
+          settings.dnn_model_path,
+          "",
+          (im.width, im.height),
+          0.8, # score threshold
+          0.3, # nms threshold
+          5000 # keep top k before nms
+      )
+      faces = detector.detect(np.array(im))
+      results = []
+      if faces[1] is not None:
+        for face in faces[1]:
+          x = face[0]
+          y = face[1]
+          w = face[2]
+          h = face[3]
+          results.append(
+            PointOfInterest(
+              int(x + (w * 0.5)), # face focus left/right is center
+              int(y + (h * 0)), # face focus up/down is close to the top of the head
+              size = w,
+              weight = 1/len(faces[1])
+            )
+          )
+      return results
+    else:
+      np_im = np.array(im)
+      gray = cv2.cvtColor(np_im, cv2.COLOR_BGR2GRAY)
 
-    tries = [
-      [ f'{cv2.data.haarcascades}haarcascade_eye.xml', 0.01 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_profileface.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt2.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt_tree.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_eye_tree_eyeglasses.xml', 0.05 ],
-      [ f'{cv2.data.haarcascades}haarcascade_upperbody.xml', 0.05 ]
-    ]
+      tries = [
+        [ f'{cv2.data.haarcascades}haarcascade_eye.xml', 0.01 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_default.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_profileface.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt2.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_frontalface_alt_tree.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_eye_tree_eyeglasses.xml', 0.05 ],
+        [ f'{cv2.data.haarcascades}haarcascade_upperbody.xml', 0.05 ]
+      ]
+      for t in tries:
+        classifier = cv2.CascadeClassifier(t[0])
+        minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
+        try:
+          faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
+            minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
+        except:
+          continue
 
-    for t in tries:
-      # print(t[0])
-      classifier = cv2.CascadeClassifier(t[0])
-      minsize = int(min(im.width, im.height) * t[1]) # at least N percent of the smallest side
-      try:
-        faces = classifier.detectMultiScale(gray, scaleFactor=1.1,
-          minNeighbors=7, minSize=(minsize, minsize), flags=cv2.CASCADE_SCALE_IMAGE)
-      except:
-        continue
-
-      if len(faces) > 0:
-        rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
-        return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2])) for r in rects]
+        if len(faces) > 0:
+          rects = [[f[0], f[1], f[0] + f[2], f[1] + f[3]] for f in faces]
+          return [PointOfInterest((r[0] +r[2]) // 2, (r[1] + r[3]) // 2, size=abs(r[0]-r[2]), weight=1/len(rects)) for r in rects]
     return []
 
 
@@ -161,7 +206,7 @@ def image_corner_points(im, settings):
         np_im,
         maxCorners=100,
         qualityLevel=0.04,
-        minDistance=min(grayscale.width, grayscale.height)*0.07,
+        minDistance=min(grayscale.width, grayscale.height)*0.03,
         useHarrisDetector=False,
     )
 
@@ -171,7 +216,7 @@ def image_corner_points(im, settings):
     focal_points = []
     for point in points:
       x, y = point.ravel()
-      focal_points.append(PointOfInterest(x, y, size=4))
+      focal_points.append(PointOfInterest(x, y, size=4, weight=1/len(points)))
 
     return focal_points
 
@@ -205,17 +250,22 @@ def image_entropy_points(im, settings):
     x_mid = int(crop_best[0] + settings.crop_width/2)
     y_mid = int(crop_best[1] + settings.crop_height/2)
 
-    return [PointOfInterest(x_mid, y_mid, size=25)]
+    return [PointOfInterest(x_mid, y_mid, size=25, weight=1.0)]
 
 
 def image_entropy(im):
     # greyscale image entropy
-    # band = np.asarray(im.convert("L"))
-    band = np.asarray(im.convert("1"), dtype=np.uint8)
+    band = np.asarray(im.convert("L"))
+    # band = np.asarray(im.convert("1"), dtype=np.uint8)
     hist, _ = np.histogram(band, bins=range(0, 256))
     hist = hist[hist > 0]
     return -np.log2(hist / hist.sum()).sum()
 
+def centroid(pois):
+  x = [poi.x for poi in pois]
+  y = [poi.y for poi in pois]
+  return PointOfInterest(sum(x)/len(pois), sum(y)/len(pois))
+
 
 def poi_average(pois, settings):
     weight = 0.0
@@ -260,11 +310,12 @@ class PointOfInterest:
 
 
 class Settings:
-  def __init__(self, crop_width=512, crop_height=512, corner_points_weight=0.5, entropy_points_weight=0.5, face_points_weight=0.5, annotate_image=False):
+  def __init__(self, crop_width=512, crop_height=512, corner_points_weight=0.5, entropy_points_weight=0.5, face_points_weight=0.5, annotate_image=False, dnn_model_path=None):
     self.crop_width = crop_width
     self.crop_height = crop_height
     self.corner_points_weight = corner_points_weight
     self.entropy_points_weight = entropy_points_weight
-    self.face_points_weight = entropy_points_weight
+    self.face_points_weight = face_points_weight
     self.annotate_image = annotate_image
-    self.destop_view_image = False
\ No newline at end of file
+    self.destop_view_image = False
+    self.dnn_model_path = dnn_model_path
\ No newline at end of file

From 8b4f32779f28010fc8077e8fcfb85a3205b36bc2 Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Tue, 25 Oct 2022 13:15:08 -0700
Subject: [PATCH 158/321] Switch to a continous blend for cond. image.

---
 modules/processing.py | 9 ++++++---
 modules/shared.py     | 2 +-
 scripts/xy_grid.py    | 5 +----
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 23ee5e02..02292bdc 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -769,9 +769,12 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             # Create another latent image, this time with a masked version of the original input.
             conditioning_mask = conditioning_mask.to(image.device)
 
-            conditioning_image = image
-            if getattr(self, "inpainting_mask_image", shared.opts.inpainting_mask_image):
-                conditioning_image = conditioning_image * (1.0 - conditioning_mask)                
+            # Smoothly interpolate between the masked and unmasked latent conditioning image.
+            conditioning_image = torch.lerp(
+                image,
+                image * (1.0 - conditioning_mask),
+                getattr(self, "inpainting_mask_weight", shared.opts.inpainting_mask_weight)
+            )
             
             conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(conditioning_image))
 
diff --git a/modules/shared.py b/modules/shared.py
index 1d0ff1a1..e0ffb824 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -320,7 +320,7 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     's_tmin':  OptionInfo(0.0, "sigma tmin",  gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
-    "inpainting_mask_image": OptionInfo(True, "Mask original image for conditioning used by inpainting model."),
+    "inpainting_mask_weight": OptionInfo(1.0, "Blend betweeen an unmasked and masked conditioning image for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
 }))
 
 
diff --git a/scripts/xy_grid.py b/scripts/xy_grid.py
index 0843adcc..f5255786 100644
--- a/scripts/xy_grid.py
+++ b/scripts/xy_grid.py
@@ -153,9 +153,6 @@ def str_permutations(x):
     """dummy function for specifying it in AxisOption's type when you want to get a list of permutations"""
     return x
 
-def str_to_bool(x):
-    return "true" in x.lower().strip()
-
 AxisOption = namedtuple("AxisOption", ["label", "type", "apply", "format_value", "confirm"])
 AxisOptionImg2Img = namedtuple("AxisOptionImg2Img", ["label", "type", "apply", "format_value", "confirm"])
 
@@ -180,7 +177,7 @@ axis_options = [
     AxisOption("Eta", float, apply_field("eta"), format_value_add_label, None),
     AxisOption("Clip skip", int, apply_clip_skip, format_value_add_label, None),
     AxisOption("Denoising", float, apply_field("denoising_strength"), format_value_add_label, None),
-    AxisOption("Mask Conditioning Image", str_to_bool, apply_field("inpainting_mask_image"), format_value_add_label, None),
+    AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight"), format_value_add_label, None),
 ]
 
 

From db8ed5fe5cd6e967d12d43d96b7f83083e58626c Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Tue, 25 Oct 2022 15:22:29 -0700
Subject: [PATCH 159/321] Focal crop UI elements

---
 modules/textual_inversion/preprocess.py | 26 ++++++++++++-------------
 modules/ui.py                           | 20 +++++++++++++++++--
 2 files changed, 31 insertions(+), 15 deletions(-)

diff --git a/modules/textual_inversion/preprocess.py b/modules/textual_inversion/preprocess.py
index a8c17c6f..1e4d4de8 100644
--- a/modules/textual_inversion/preprocess.py
+++ b/modules/textual_inversion/preprocess.py
@@ -13,7 +13,7 @@ if cmd_opts.deepdanbooru:
     import modules.deepbooru as deepbooru
 
 
-def preprocess(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_entropy_focus=False):
+def preprocess(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_focal_crop=False, process_focal_crop_face_weight=0.9, process_focal_crop_entropy_weight=0.3, process_focal_crop_edges_weight=0.5, process_focal_crop_debug=False):
     try:
         if process_caption:
             shared.interrogator.load()
@@ -23,7 +23,7 @@ def preprocess(process_src, process_dst, process_width, process_height, preproce
             db_opts[deepbooru.OPT_INCLUDE_RANKS] = False
             deepbooru.create_deepbooru_process(opts.interrogate_deepbooru_score_threshold, db_opts)
 
-        preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio, process_entropy_focus)
+        preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru, split_threshold, overlap_ratio, process_focal_crop, process_focal_crop_face_weight, process_focal_crop_entropy_weight, process_focal_crop_edges_weight, process_focal_crop_debug)
 
     finally:
 
@@ -35,7 +35,7 @@ def preprocess(process_src, process_dst, process_width, process_height, preproce
 
 
 
-def preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_entropy_focus=False):
+def preprocess_work(process_src, process_dst, process_width, process_height, preprocess_txt_action, process_flip, process_split, process_caption, process_caption_deepbooru=False, split_threshold=0.5, overlap_ratio=0.2, process_focal_crop=False, process_focal_crop_face_weight=0.9, process_focal_crop_entropy_weight=0.3, process_focal_crop_edges_weight=0.5, process_focal_crop_debug=False):
     width = process_width
     height = process_height
     src = os.path.abspath(process_src)
@@ -139,27 +139,27 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
             ratio = (img.height * width) / (img.width * height)
             inverse_xy = True
 
-        processing_option_ran = False
+        process_default_resize = True
 
         if process_split and ratio < 1.0 and ratio <= split_threshold:
             for splitted in split_pic(img, inverse_xy):
                 save_pic(splitted, index, existing_caption=existing_caption)
-            processing_option_ran = True
+            process_default_resize = False
 
         if process_entropy_focus and img.height != img.width:
             autocrop_settings = autocrop.Settings(
                 crop_width = width,
                 crop_height = height,
-                face_points_weight = 0.9,
-                entropy_points_weight = 0.7,
-                corner_points_weight = 0.5,
-                annotate_image = False
+                face_points_weight = process_focal_crop_face_weight,
+                entropy_points_weight = process_focal_crop_entropy_weight,
+                corner_points_weight = process_focal_crop_edges_weight,
+                annotate_image = process_focal_crop_debug
             )
-            focal = autocrop.crop_image(img, autocrop_settings)
-            save_pic(focal, index, existing_caption=existing_caption)
-            processing_option_ran = True
+            for focal in autocrop.crop_image(img, autocrop_settings):
+                save_pic(focal, index, existing_caption=existing_caption)
+            process_default_resize = False
 
-        if not processing_option_ran:
+        if process_default_resize:
             img = images.resize_image(1, img, width, height)
             save_pic(img, index, existing_caption=existing_caption)
 
diff --git a/modules/ui.py b/modules/ui.py
index 028eb4e5..95b9c703 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1260,7 +1260,7 @@ def create_ui(wrap_gradio_gpu_call):
                     with gr.Row():
                         process_flip = gr.Checkbox(label='Create flipped copies')
                         process_split = gr.Checkbox(label='Split oversized images')
-                        process_entropy_focus = gr.Checkbox(label='Create auto focal point crop')
+                        process_focal_crop = gr.Checkbox(label='Auto focal point crop')
                         process_caption = gr.Checkbox(label='Use BLIP for caption')
                         process_caption_deepbooru = gr.Checkbox(label='Use deepbooru for caption', visible=True if cmd_opts.deepdanbooru else False)
 
@@ -1268,6 +1268,12 @@ def create_ui(wrap_gradio_gpu_call):
                         process_split_threshold = gr.Slider(label='Split image threshold', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
                         process_overlap_ratio = gr.Slider(label='Split image overlap ratio', value=0.2, minimum=0.0, maximum=0.9, step=0.05)
 
+                    with gr.Row(visible=False) as process_focal_crop_row:
+                        process_focal_crop_face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.3, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_debug = gr.Checkbox(label='Create debug image')
+
                     with gr.Row():
                         with gr.Column(scale=3):
                             gr.HTML(value="")
@@ -1281,6 +1287,12 @@ def create_ui(wrap_gradio_gpu_call):
                         outputs=[process_split_extra_row],
                     )
 
+                    process_focal_crop.change(
+                        fn=lambda show: gr_show(show),
+                        inputs=[process_focal_crop],
+                        outputs=[process_focal_crop_row],
+                    )
+
                 with gr.Tab(label="Train"):
                     gr.HTML(value="<p style='margin-bottom: 0.7em'>Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images <a href=\"https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion\" style=\"font-weight:bold;\">[wiki]</a></p>")
                     with gr.Row():
@@ -1368,7 +1380,11 @@ def create_ui(wrap_gradio_gpu_call):
                 process_caption_deepbooru,
                 process_split_threshold,
                 process_overlap_ratio,
-                process_entropy_focus,
+                process_focal_crop,
+                process_focal_crop_face_weight,
+                process_focal_crop_entropy_weight,
+                process_focal_crop_edges_weight,
+                process_focal_crop_debug,
             ],
             outputs=[
                 ti_output,

From 53b48d93fb9acd66ad631129afd837049449a76b Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Wed, 26 Oct 2022 02:12:53 +0300
Subject: [PATCH 160/321] Add complete retranslation for the Arabic
 localization

Used the following resources:
  - https://www.almaany.com/
  - https://translate.google.com/
  - https://techtionary.thinktech.sa/
  - https://sdaia.gov.sa/files/Dictionary.pdf

The translations are ordered by the way they appear in the UI.
This version abandons literal translation and adds explainations where possible.
---
 localizations/ar_AR.json | 808 +++++++++++++++++++--------------------
 1 file changed, 387 insertions(+), 421 deletions(-)

diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index 1195a8e9..21c24e62 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -1,456 +1,422 @@
 {
   "rtl": true,
-  "⤡": "⤡",
-  "⊞": "⊞",
-  "×": "×",
-  "❮": "❮",
-  "❯": "❯",
-  "Loading...": "جار التحميل...",
-  "view": "معاينة",
-  "api": "api",
-  "•": "•",
-  "built with gradio": "مبني باستخدام Gradio",
-  "Stable Diffusion checkpoint": "نماذج الانتشار المستقر",
-  "txt2img": "نص لصورة",
-  "img2img": "صورة لصورة",
-  "Extras": "الإضافات",
-  "PNG Info": "معلومات PNG",
-  "Checkpoint Merger": "دمج النماذج",
-  "Train": "التدريب",
-  "Create aesthetic embedding": "Create aesthetic embedding",
-  "Image Browser": "مستعرض الصور",
-  "Settings": "الإعدادات",
-  "Prompt": "الموجه",
-  "Negative prompt": "الموجه السلبي",
-  "Run": "تشغيل",
-  "Skip": "تخطي",
-  "Interrupt": "إيقاف",
-  "Generate": "إنشاء",
-  "Style 1": "نمط 1",
-  "Style 2": "نمط 2",
-  "Label": "الوسم",
-  "File": "ملف",
-  "Drop File Here": "اسحب الملف هنا",
+  "Loading...": "لحظة...",
+  "view": "اعرض ",
+  "api": "واجهة البرمجة",
+  "built with gradio": "مبني باستخدام gradio",
+  "Stable Diffusion checkpoint": "ملف أوزان Stable Diffusion",
+  "txt2img": "نص إلى صورة",
+  "Prompt": "الطلب",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الطلب (لبدء الإنتاج Ctrl+Enter أو Alt+Enter اضغط)",
+  "Negative prompt": "عكس الطلب",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "عكس الطلب (لبدء الإنتاج Ctrl+Enter أو Alt+Enter اضغط)",
+  "Add a random artist to the prompt.": "أضف فنان عشوائي للطلب",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "اقرأ عوامل الإنتاج من الطلب أو من الإنتاج السابق إذا كان الطلب فارغا",
+  "Save style": "احتفظ بالطلب وعكسه كإضافة",
+  "Apply selected styles to current prompt": "ألحق الإضافات المحددة إلى الطلب وعكسه",
+  "Generate": "أنتج",
+  "Skip": "تخطى",
+  "Stop processing current image and continue processing.": "تجاهل إنتاج هذة الحزمة وانتقل إلى الحزمة التالية",
+  "Interrupt": "توقف",
+  "Stop processing images and return any results accumulated so far.": "توقف عن الإنتاج واعرض ما تم إلى الآن",
+  "Style 1": "الإضافة 1",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "الإضافات (styles) عبارة عن كلمات تتكرر كثيرا يتم إلحاقها بالطلب وعكسه عند الرغبة",
+  "Style 2": "الإضافة 2",
+  "Do not do anything special": "لا يغير شيئا",
+  "Sampling Steps": "عدد الخطوات",
+  "Sampling method": "أسلوب الخطو",
+  "Which algorithm to use to produce the image": "Sampler: اسم نظام تحديد طريقة تغيير المسافات بين الخطوات",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral: طريقة مبدعة يمكن أن تنتج صور مختلفة على حسب عدد الخطوات، لا تتغير بعد 30-40 خطوة",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models: الأفضل في التحبير",
+  "Width": "العرض",
+  "Height": "الإرتفاع",
+  "Restore faces": "تحسين الوجوه",
+  "Tiling": "ترصيف",
+  "Produce an image that can be tiled.": "أنتج صور يمكن ترصيفها بجانب بعضها كالبلاط",
+  "Highres. fix": "أقل دقة",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "أنتج صورة بدقة منخفضة ثم قم برفع الدقة فيما بعد لتسريع الإنتاج عندما تكون الدقة المطلوبة كبيرة",
+  "Firstpass width": "العرض الأولي",
+  "Firstpass height": "الإرتفاع الأولي",
+  "Denoising strength": "قسط المشوار",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Denoising strength: حدد مقدار جزء المشوار المراد قطعه (1: كامل المشوار ينتج صورة مختلفة تماما، 0: ثابت لا يغير الصورة)",
+  "Batch count": "عدد الحزم",
+  "How many batches of images to create": "يتم إنتاج الصور على دفعات، كل دفعة فيها حزمة من الصور",
+  "Batch size": "حجم الحزمة",
+  "How many image to create in a single batch": "Batch size: إنتاج حزمة صور أسرع من إنتاجهم فرادى، حدد عدد الصور في كل حزمة",
+  "CFG Scale": "التركيز",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "CFG scale: يحدد مقدار التركيز على تلبية الطلب وتجنب عكسه، كلما زاد قل الإبداع",
+  "Seed": "البذرة",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Seed: رقم طبيعي عشوائي يسمح بإعادة إنتاج نفس الصورة إذا توافقت قيم العوامل الأخرى",
+  "Set seed to -1, which will cause a new random number to be used every time": "استخدم بذرة جديدة في كل مرة (نرمز لهذا الخيار بجعل قيمة البذرة 1-)",
+  "Reuse seed from last generation, mostly useful if it was randomed": "أعد استخدام البذرة من الإنتاج السابق",
+  "Extra": "مزج",
+  "Variation seed": "بذرة الممزوج",
+  "Seed of a different picture to be mixed into the generation.": "Variation seed: بذرة صورة أخرى ليتم مزجها مع الصورة الحالية",
+  "Variation strength": "أثر الممزوج",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Variation seed strength: مقدار أثر الصورة المدمجة على النتيجة النهائية (0: لا أثر، 1: أثر كامل ما عدا عند استخدام أسلوب خطو سلفي Ancestral)",
+  "Resize seed from width": "عرض الممزوج",
+  "Resize seed from height": "إرتفاع الممزوج",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Seed resize from: حدد دقة صورة الممزوج (0: نفس دقة الإنتاج)",
+  "Open for Clip Aesthetic!": "تضمين تجميلي",
+  "Aesthetic weight": "أثر التضمين",
+  "Aesthetic steps": "عدد الخطوات",
+  "Aesthetic learning rate": "معدل التعلم",
+  "Slerp interpolation": "امزج بطريقة كروية",
+  "Aesthetic imgs embedding": "التضمين",
+  "None": "بدون",
+  "Aesthetic text for imgs": "الطلب (اختياري)",
+  "This text is used to rotate the feature space of the imgs embs": "لإعادة توجيه التضمين التجميلي",
+  "Slerp angle": "أثر الطلب",
+  "Is negative text": "الطلب عكسي",
+  "Script": "أداة",
+  "Prompt matrix": "مصفوفة طلبات",
+  "Put variable parts at start of prompt": "الجزء المتغير في بداية الطلب",
+  "Prompts from file or textbox": "قائمة طلبات",
+  "Show Textbox": "أظهر مربع النص",
+  "File with inputs": "ملف نصي للطلبات",
+  "Drop File Here": "اسقط ملف هنا",
   "-": "-",
   "or": "أو",
-  "Click to Upload": "انقر للتحميل",
-  "Image": "صورة",
-  "Check progress": "تحقق من التقدم",
-  "Check progress (first)": "تحقق من التقدم (الأول)",
-  "Sampling Steps": "خطوات أخذ العينة",
-  "Sampling method": "نظام أخذ العينات",
-  "Euler a": "Euler a",
-  "Euler": "Euler",
-  "LMS": "LMS",
-  "Heun": "Heun",
-  "DPM2": "DPM2",
-  "DPM2 a": "DPM2 a",
-  "DPM fast": "DPM fast",
-  "DPM adaptive": "DPM adaptive",
-  "LMS Karras": "LMS Karras",
-  "DPM2 Karras": "DPM2 Karras",
-  "DPM2 a Karras": "DPM2 a Karras",
-  "DDIM": "DDIM",
-  "PLMS": "PLMS",
-  "Width": "العرض",
-  "Height": "الارتفاع",
-  "Restore faces": "ترميم الوجوه",
-  "Tiling": "تبليط",
-  "Highres. fix": "إصلاح الصور عالية الدقة",
-  "Firstpass width": "عرض المرور الأول",
-  "Firstpass height": "ارتفاع المرور الأول",
-  "Denoising strength": "قوة تقليل الضوضاء",
-  "Batch count": "عدد الدُفعات",
-  "Batch size": "حجم الدفعة",
-  "CFG Scale": "مقياس التقارب من الموجه (CFG)",
-  "Seed": "البذرة",
-  "Extra": "إضافي",
-  "Variation seed": "تباين البذرة",
-  "Variation strength": "قوة التباين",
-  "Resize seed from width": "تغيير حجم البذرة من العرض",
-  "Resize seed from height": "تغيير حجم البذرة من الارتفاع",
-  "Open for Clip Aesthetic!": "Open for Clip Aesthetic!",
-  "▼": "▼",
-  "Aesthetic weight": "Aesthetic weight",
-  "Aesthetic steps": "Aesthetic steps",
-  "Aesthetic learning rate": "Aesthetic learning rate",
-  "Slerp interpolation": "Slerp interpolation",
-  "Aesthetic imgs embedding": "Aesthetic imgs embedding",
-  "None": "لايوجد",
-  "Aesthetic text for imgs": "Aesthetic text for imgs",
-  "Slerp angle": "Slerp angle",
-  "Is negative text": "Is negative text",
-  "Script": "سكريبت",
-  "Prompt matrix": "مصفوفة الموجهات",
-  "Prompts from file or textbox": "موجهات من ملف أو مربع النص",
-  "X/Y plot": "الرسم البياني X/Y",
-  "Put variable parts at start of prompt": "ضع الأجزاء المتغيرة في بداية الموجه",
-  "Show Textbox": "إظهار مربع النص",
-  "File with inputs": "ملف يحتوي المدخلات",
-  "Prompts": "الموجهات",
-  "X type": "نوع X",
-  "Nothing": "لا شئ",
-  "Var. seed": "تغير البذرة",
-  "Var. strength": "قوة التغيير",
-  "Steps": "الخطوات",
-  "Prompt S/R": "موجه S / R",
-  "Prompt order": "ترتيب الموجهات",
-  "Sampler": "نظام أخذ العينات",
-  "Checkpoint name": "اسم النموذج",
+  "Click to Upload": "انقر للرفع",
+  "Prompts": "قائمة الطلبات",
+  "X/Y plot": "مصفوفة عوامل",
+  "X type": "العامل الأول",
+  "Nothing": "لا شيء",
+  "Var. seed": "بذرة الممزوج",
+  "Var. strength": "أثر الممزوج",
+  "Steps": "عدد الخطوات",
+  "Prompt S/R": "كلمات بديلة",
+  "Prompt order": "ترتيب الكلمات",
+  "Sampler": "أسلوب الخطو",
+  "Checkpoint name": "ملف الأوزان",
   "Hypernetwork": "الشبكة الفائقة",
   "Hypernet str.": "قوة الشبكة الفائقة",
-  "Sigma Churn": "دفع سيجما",
-  "Sigma min": "أصغر سيجما",
-  "Sigma max": "أكبر سيجما",
-  "Sigma noise": "ضجة سيجما",
-  "Eta": "الوقت المتوقع",
-  "Clip skip": "تخطي Clip",
-  "Denoising": "تقليل الضوضاء",
-  "X values": "قيم X",
-  "Y type": "نوع Y",
-  "Y values": "قيم Y",
-  "Draw legend": "ارسم مفتاح التوضيح",
-  "Include Separate Images": "قم بتضمين الصور منفصلة",
-  "Keep -1 for seeds": "احتفظ بـقيمة -1 للبذور",
-  "Drop Image Here": "إسقاط الصورة هنا",
-  "Save": "حفظ",
-  "Send to img2img": "أرسل إلى صورة لصورة",
-  "Send to inpaint": "أرسل إلى إعادة الرسم الجزئي",
-  "Send to extras": "أرسل إلى الإضافات",
-  "Make Zip when Save?": "إنشاء ملف مضغوط عند الحفظ؟",
-  "Textbox": "مربع النص",
-  "Interrogate\nCLIP": "استجواب\n CLIP",
-  "Inpaint": "إعادة الرسم الجزئي",
-  "Batch img2img": "دفعات صورة لصورة",
-  "Image for img2img": "صورة (صورة لصورة)",
-  "Image for inpainting with mask": "صورة (إعادة الرسم الجزئي)",
-  "Mask": "القناع",
-  "Mask blur": "ضبابية القناع",
-  "Mask mode": "أسلوب القناع",
-  "Draw mask": "رسم القناع",
-  "Upload mask": "تحميل القناع",
-  "Masking mode": "أسلوب التقنيع",
-  "Inpaint masked": "إعادة الرسم الجزئي (المنطقة المقنعة)",
-  "Inpaint not masked": "إعادة الرسم الجزئي (المنطقة الغير مقنعة)",
-  "Masked content": "المحتوى المقنع",
-  "fill": "الملأ",
-  "original": "الأصلي",
-  "latent noise": "الضوضاء الكامنة",
-  "latent nothing": "لا شيء كامن",
-  "Inpaint at full resolution": "إعادة الرسم الجزئي بدقة كاملة",
-  "Inpaint at full resolution padding, pixels": "إعادة الرسم الجزئي بدقة كاملة, الحشو, بيكسل",
-  "Process images in a directory on the same machine where the server is running.": "معالجة الصور في المجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
-  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "استخدم مجلد إخراج فارغ لحفظ الصور بشكل طبيعي بدلاً من الكتابة إلى مجلد المخرجات.",
-  "Input directory": "مجلد المدخلات",
-  "Output directory": "مجلد المخرجات",
-  "Resize mode": "وضعية تغيير الحجم",
-  "Just resize": "تغييير الحجم فقط",
-  "Crop and resize": "اقتصاص وتغيير الحجم",
-  "Resize and fill": "تغيير الحجم والتعبئة",
-  "img2img alternative test": "صورة لصورة البديلة",
-  "Loopback": "الحلقة الراجعة",
-  "Outpainting mk2": "الرسم الخارجي نسخة 2",
-  "Poor man's outpainting": "الرسم الخارجي للفقراء",
-  "SD upscale": "ترقية الانتشار المستقر",
-  "should be 2 or lower.": "should be 2 or lower.",
-  "Override `Sampling method` to Euler?(this method is built for it)": "Override `Sampling method` to Euler?(this method is built for it)",
-  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)",
-  "Original prompt": "Original prompt",
-  "Original negative prompt": "Original negative prompt",
-  "Override `Sampling Steps` to the same value as `Decode steps`?": "Override `Sampling Steps` to the same value as `Decode steps`?",
-  "Decode steps": "Decode steps",
-  "Override `Denoising strength` to 1?": "Override `Denoising strength` to 1?",
-  "Decode CFG scale": "Decode CFG scale",
-  "Randomness": "Randomness",
-  "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image",
-  "Loops": "Loops",
-  "Denoising strength change factor": "معامل قوة تقليل الضوضاء",
-  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "الإعدادات الموصى بها: خطوات أخذ العينات: 80-100 ، طريقة أخذ العينات: Euler a ، تقليل الضوضاء: 0.8",
-  "Pixels to expand": "عدد البكسل للتوسيع",
-  "Outpainting direction": "إتجاه الرسم الخارجي",
+  "Sigma Churn": "العشوائية (Schurn)",
+  "Sigma min": "أدنى تشويش (Stmin)",
+  "Sigma max": "أقصى تشويش (Stmax)",
+  "Sigma noise": "التشويش (Snoise)",
+  "Eta": "العامل Eta η",
+  "Clip skip": "تخطي آخر طبقات CLIP",
+  "Denoising": "قسط المشوار",
+  "X values": "قيم العامل الأول",
+  "Separate values for X axis using commas.": "افصل القيم بفواصل (,) من اليسار إلى اليمين",
+  "Y type": "العامل الثاني",
+  "Y values": "قيم العامل الثاني",
+  "Separate values for Y axis using commas.": "افصل القيم بفواصل (,) من الأعلى إلى الأسفل",
+  "Draw legend": "أضف الهامش",
+  "Include Separate Images": "أضف الصور منفصلة",
+  "Keep -1 for seeds": "استخدم بذور عشوائية",
+  "Save": "احفظ",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "احفظ الصور مع ملف العوامل بصيغة CSV",
+  "Send to img2img": "أرسل لصورة إلى صورة",
+  "Send to inpaint": "أرسل للتحبير",
+  "Send to extras": "أرسل للمعالجة",
+  "Open images output directory": "افتح مجلد الصور المخرجة",
+  "Make Zip when Save?": "ضع النتائج في ملف مضغوط عند الحفظ",
+  "img2img": "صورة إلى صورة",
+  "Interrogate\nCLIP": "استجواب\nCLIP",
+  "Drop Image Here": "اسقط صورة هنا",
+  "Just resize": "تغيير الحجم فقط",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "غير حجم الصورة بدون مراعات اتزان الأبعاد",
+  "Crop and resize": "تغيير الحجم وقص الأطراف",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "غير حجم الصورة واقتص الأطراف الزائدة",
+  "Resize and fill": "تغيير الحجم وتبطين الأطراف",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "غير حجم الصورة واملأ الأطراف الزائدة بألوان من الصورة",
+  "img2img alternative test": "استجواب الصورة (تجريبي)",
+  "should be 2 or lower.": "يفترض أن يكون 2 أو أقل",
+  "Override `Sampling method` to Euler?(this method is built for it)": "استخدم أسلوب خطو Euler (مستحسن)",
+  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "استبدل الطلب وعكسه في الأعلى بالطلب الأصلي وعكسه التاليين",
+  "Original prompt": "الطلب الأصلي",
+  "Original negative prompt": "عكس الطلب الأصلي",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "استدبل عدد الخطوات بعدد الخطوات الأصلية",
+  "Decode steps": "عدد الخطوات الأصلية",
+  "Override `Denoising strength` to 1?": "اجعل قسط المشوار 1",
+  "Decode CFG scale": "التركيز",
+  "Randomness": "العشوائية",
+  "Sigma adjustment for finding noise for image": "لا تسمح بتثبيت قيمة التباين",
+  "Loopback": "اجترار وتكرار",
+  "Loops": "عدد المرات",
+  "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم أخذ مخرجات الإنتاج كمدخلات وإعادة الإنتاج مرة أخرى",
+  "Denoising strength change factor": "معدل تغيير قسط المشوار",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "يتم ضرب قسط المشوار بهذا الرقم في كل مرة، إذا استخدمت رقم أصغر من 1 يمكن الرسو على نتيجة، وإذا استخدمت رقم أكبر من 1 تصبح النتيجة عشوائية",
+  "Outpainting mk2": "توسيع الصورة (mk2)",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "يفضل استخدام: 80-100 خطوة، أسلوب Euler a، قسط المشوار 0.8",
+  "Pixels to expand": "عدد البيكسلات",
+  "Mask blur": "تنعيم القناع",
+  "How much to blur the mask before processing, in pixels.": "مقدرا تنعيم القناع قبل استخدامه (يقاس بالبيكسل)",
+  "Outpainting direction": "اتجاه توسيع الصورة",
   "left": "يسار",
   "right": "يمين",
   "up": "فوق",
   "down": "تحت",
-  "Fall-off exponent (lower=higher detail)": "أس التناقص (الأدنى = تفاصيل أعلى)",
-  "Color variation": "اختلاف اللون",
-  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيقوم بترقية الصورة إلى ضعف الأبعاد ؛ استخدم شريط تمرير العرض والارتفاع لضبط حجم التبليط",
-  "Tile overlap": "تداخل التبليط",
-  "Upscaler": "المرقي",
-  "Lanczos": "Lanczos",
+  "Fall-off exponent (lower=higher detail)": "قوة السقوط (كلما قلت زادت التفاصيل)",
+  "Color variation": "تنوع الألوان",
+  "Poor man's outpainting": "توسيع الصورة (بدائي)",
+  "Masked content": "محتويات القناع",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "ما يوضع مكان الفراغ في الصورة الذي نريد إنتاج محتوياته",
+  "fill": "ألوان",
+  "fill it with colors of the image": "املأ باستخدام ألوان مأخوذة من باقي الصورة",
+  "original": "بدون تغيير",
+  "keep whatever was there originally": "أبق محتويات ما تحت القناع كما هي",
+  "latent noise": "تشويش كامن",
+  "fill it with latent space noise": "املأه باستخدام تشويش من الفضاء الكامن",
+  "latent nothing": "تصفير كامن",
+  "fill it with latent space zeroes": "استبدل مكان القناع في الفضاء الكامن بأصفار",
+  "SD upscale": "مضاعفة الدقة",
+  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيتم تكبير حجم الصورة إلى الضعف، استخدم الطول والإرتفاع في الأعلى لتحديد حجم نافذة المكبر",
+  "Tile overlap": "تداخل النافذة",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "المكبر ينظر إلى أجزاء الصورة من خلال نافذة لتكبير المحتوى ثم ينتقل إلى الجزء المجاور، يفضل أن يكون هناك تداخل بين كل رقعة لكي لا يكون هناك اختلاف واضح بينهم",
+  "Upscaler": "طريقة التكبير",
+  "Inpaint": "تحبير",
+  "Draw mask": "ارسم القناع",
+  "Upload mask": "ارفع القناع",
+  "Inpaint masked": "تحبير ما بداخل القناع",
+  "Inpaint not masked": "تحبير ما حول القناع",
+  "Inpaint at full resolution": "تحبير بالدقة الكاملة",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "كبر ما يراد تحبيره ثم صغر النتيجة وألصقها في مكانها",
+  "Inpaint at full resolution padding, pixels": "عدد بيكسلات التبطين",
+  "Batch img2img": "صور إلى صور",
+  "Process images in a directory on the same machine where the server is running.": "حدد مسار مجلد صور موجود في جهاز الخادم",
+  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "يمكنك أيضا تحديد مجلد حفظ النتائج (غير الإفتراضي)",
+  "Input directory": "مجلد المدخلات",
+  "Output directory": "مجلد المخرجات",
+  "Extras": "معالجة",
   "Single Image": "صورة واحدة",
-  "Batch Process": "معالجة الدفعات",
-  "Batch from Directory": "دفعة من المجلد",
-  "Source": "مصدر",
-  "Show result images": "إظهار نتائج الصور ",
-  "Scale by": "رفع الحجم بمقدار",
-  "Scale to": "رفع الحجم إلى",
+  "Source": "المصدر",
+  "Scale by": "مضاعفة الدقة",
   "Resize": "تغيير الحجم",
-  "Crop to fit": "اقتصاص للتوافق",
-  "Upscaler 2 visibility": "إظهار المرقي 2",
-  "GFPGAN visibility": "إظهار GFPGAN",
-  "CodeFormer visibility": "إظهار CodeFormer",
-  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (0 = أقصى تأثير ، 1 = تأثير أدنى)",
+  "Upscaler 1": "المكبر الأول",
+  "Upscaler 2": "المكبر الثاني",
+  "Upscaler 2 visibility": "أثر المكبر الثاني",
+  "GFPGAN visibility": "أثر GFPGAN (محسن وجوه)",
+  "CodeFormer visibility": "أثر CodeFormer (محسن وجوه)",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (يزيد التفاصيل على حساب الجودة)",
+  "Scale to": "دقة محددة",
+  "Crop to fit": "قص الأطراف الزائدة إذا لم تتناسب الأبعاد",
+  "Batch Process": "حزمة صور",
+  "Batch from Directory": "حزمة من مجلد",
+  "A directory on the same machine where the server is running.": "مسار مجلد صور موجود في جهاز الخادم",
+  "Leave blank to save images to the default path.": "اتركه فارغا لاستخدام المسار الإفتراضي",
+  "Show result images": "اعرض الصور الناتجة",
   "Open output directory": "افتح مجلد المخرجات",
-  "Send to txt2img": "أرسل إلى كتابة لصورة",
-  "A merger of the two checkpoints will be generated in your": "سيتم إنشاء نموذجمدمج من النموذجين في",
-  "checkpoint": "النموذج",
-  "directory.": "المجلد.",
-  "Primary model (A)": "النموذج الأساسي (أ)",
-  "Secondary model (B)": "النموذج الثانوي (ب)",
-  "Tertiary model (C)": "النموذج الثالث (ج)",
-  "Custom Name (Optional)": "اسم مخصص (اختياري)",
-  "Multiplier (M) - set to 0 to get model A": "المضاعف (M) - اضبط على 0 للحصول على النموذج أ",
-  "Interpolation Method": "طريقة الاستنباط",
-  "Weighted sum": "المجموع الموزون",
-  "Add difference": "أضافة الاختلاف",
-  "Save as float16": "حفظ  float16",
-  "See": "شاهد",
-  "wiki": "ويكي",
-  "for detailed explanation.": "للحصول على شرح مفصل.",
-  "Create embedding": "إنشاء التضمين",
-  "Create hypernetwork": "إنشاء شبكة فائقة",
-  "Preprocess images": "تجهيز الصور",
+  "PNG Info": "عوامل الصورة",
+  "Send to txt2img": "أرسل لنص إلى صورة",
+  "Checkpoint Merger": "مزج الأوزان",
+  "A merger of the two checkpoints will be generated in your": "سيتم مزج الأوزان التالية وحفظ الأوزان المدجمة مع ",
+  "checkpoint": "الأوزان",
+  "directory.": " مجلد.",
+  "Primary model (A)": "الأوزان الأولى (A)",
+  "Secondary model (B)": "الأوزان الثانية (B)",
+  "Tertiary model (C)": "الأوزان الثالثة (C)",
+  "Custom Name (Optional)": "الاسم الجديد (اختياري)",
+  "Multiplier (M) - set to 0 to get model A": "العامل M: مسافة الإبتعاد عن الأوزان الأولى A",
+  "Interpolation Method": "طريقة المزج",
+  "Weighted sum": "خطية",
+  "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
+  "Add difference": "جمع الفرق",
+  "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
+  "Save as float16": "احفظ بدقة float16",
+  "Run": "تشغيل",
+  "Train": "تدريب",
+  "See": "اقرأ",
+  "wiki": "الـwiki ",
+  "for detailed explanation.": "لمعرفة المزيد",
+  "Create embedding": "إنشاء تضمين",
   "Name": "الاسم",
-  "Initialization text": "نص التهيئة",
-  "Number of vectors per token": "عدد المتجهات لكل رمز",
-  "Overwrite Old Embedding": "الكتابة فوق التضمين القديم",
-  "Modules": "الوحدات",
-  "Enter hypernetwork layer structure": "أدخل بنية طبقة الشبكة الفائقة",
-  "Select activation function of hypernetwork": "حدد وظيفة تنشيط الشبكة الفائقة",
-  "linear": "خطي (Linear)",
-  "relu": "الوحدة الخطية المعدلة (Relu)",
-  "leakyrelu": "الوحدة الخطية المعدلة المسربة (Leakyrelu)",
-  "elu": "الوحدة الأسية الخطية (Elu)",
-  "swish": "Swish",
-  "Add layer normalization": "أضف طبقة التسوية",
-  "Use dropout": "استخدم الهبوط",
-  "Overwrite Old Hypernetwork": "الكتابة فوق الشبكة الفائقة القديمة",
-  "Source directory": "مجلد المصدر",
-  "Destination directory": "مجلد النتائج",
-  "Existing Caption txt Action": "الإجراء النصي للتعليق المتوفر",
+  "Initialization text": "النص المبدأي",
+  "Number of vectors per token": "عدد المتجهات لكل وحدة لغوية",
+  "Overwrite Old Embedding": "استبدل التضمين القديم",
+  "Create hypernetwork": "إنشاء شبكة فائقة",
+  "Modules": "الأجزاء",
+  "Enter hypernetwork layer structure": "ترتيب مضاعفات عرض الطبقات",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "المضاعفين الأول والأخير يجب أن يكونا 1، مثال: 1, 2, 1",
+  "Select activation function of hypernetwork": "دالة التنشيط",
+  "linear": "خطية (بدون)",
+  "relu": "ريلو (ReLU)",
+  "leakyrelu": "ريلو المتسربة (LeakyReLU)",
+  "elu": "إيلو (ELU)",
+  "swish": "سويش (Swish)",
+  "Add layer normalization": "أضف تسوية الطبقات (LayerNorm)",
+  "Use dropout": "استخدم الإسقاط (Dropout)",
+  "Overwrite Old Hypernetwork": "استبدل الشبكة الفائقة القديمة",
+  "Preprocess images": "معالجة مسبقة للصور",
+  "Source directory": "مجلد المخرجات",
+  "Destination directory": "مجلد المخرجات",
+  "Existing Caption txt Action": "اذا كانت الصورة لديها توصيف (طلب)",
   "ignore": "تجاهل",
-  "copy": "نسخ",
-  "prepend": "أضف قبل",
+  "copy": "انسخ",
+  "prepend": "أسبق",
   "append": "ألحق",
-  "Create flipped copies": "قم بإنشاء نسخ مقلوبة",
-  "Split oversized images": "تقسيم الصور كبيرة الحجم",
-  "Use BLIP for caption": "استخدم BLIP للتعليق",
-  "Use deepbooru for caption": "استخدم deepbooru للتعليق",
-  "Split image threshold": "حد تقسيم الصورة",
-  "Split image overlap ratio": "نسبة تداخل الصورة المنقسمة",
-  "Preprocess": "تجهيز الصور",
-  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "تدريب التضمين أو الشبكة الفائقة ؛ يجب تحديد مجلد بمجموعة من الصور بنسبة أبعاد 1: 1",
-  "[wiki]": "[ويكي]",
+  "Create flipped copies": "انشئ نسخ معكوسة للصور",
+  "Split oversized images": "قسّم الصور الكبيرة",
+  "Split image threshold": "حد تقسيم الصور الكبيرة",
+  "Split image overlap ratio": "نسبة تداخل اقسام الصور الكبيرة",
+  "Use BLIP for caption": "استخدم BLIP لتوصيف الصور",
+  "Use deepbooru for caption": "استخدم deepbooru لتوصيف الصور",
+  "Preprocess": "معالجة مسبقة",
+  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "درب التضمين أو الشبكة الفائقة: يجب تحديد مجلد يحتوي صور مربعة فقط ",
+  "[wiki]": "[wiki]",
   "Embedding": "التضمين",
   "Embedding Learning rate": "معدل تعلم التضمين",
   "Hypernetwork Learning rate": "معدل تعلم الشبكة الفائقة",
   "Dataset directory": "مجلد مجموعة البيانات",
+  "Path to directory with input images": "مسار مجلد الصور المدخلة",
   "Log directory": "مجلد السجل",
-  "Prompt template file": "ملف قالب الموجهات",
-  "Max steps": "الخطوات القصوى",
-  "Save an image to log directory every N steps, 0 to disable": "حفظ صورة في مجلد السجل  كل N خطوات ، 0 للتعطيل",
-  "Save a copy of embedding to log directory every N steps, 0 to disable": "حفظ نسخة من التضمين في مجلد السجل كل N خطوات ، 0 للتعطيل",
-  "Save images with embedding in PNG chunks": "حفظ التضمين مع الصور في أجزاء PNG",
-  "Read parameters (prompt, etc...) from txt2img tab when making previews": "قراءة المتغيرات (الموجه ، إلخ ...) من علامة تبويب نص لصورة عند إجراء المعاينات",
-  "Train Hypernetwork": "تدريب الشبكة الفائقة",
-  "Train Embedding": "تدريب التضمين",
-  "Create an aesthetic embedding out of any number of images": "Create an aesthetic embedding out of any number of images",
-  "Create images embedding": "Create images embedding",
-  "extras": "إضافات",
-  "favorites": "المفضلة",
-  "custom fold": "custom fold",
-  "Load": "تحميل",
+  "Path to directory where to write outputs": "مسار مجلد الصور المخرجة",
+  "Prompt template file": "ملف صيغ الطلبات",
+  "Max steps": "أقصى عدد خطوات التدريب",
+  "Save an image to log directory every N steps, 0 to disable": "احفظ صورة في السجل بعد كل كم خطوة تدريب (لا تحفظ إذا كان 0)",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "احفظ التضمين في السجل بعد كل كم خطوة تدريب (لا تحفظ إذا كان 0)",
+  "Save images with embedding in PNG chunks": "احفظ التضمين بداخل ملف الصورة كعامل يمكن استخراجه من عوامل الصورة (صيغة PNG)",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "استخدم قيم العوامل الموجودة في تبويب نص إلى صورة لعرض نتائجهم أثناء التدريب",
+  "Train Hypernetwork": "درّب الشبكة الفائقة",
+  "Train Embedding": "درّب التضمين",
+  "Create aesthetic embedding": "تضمين تجميلي",
+  "Create an aesthetic embedding out of any number of images": "انشئ تضمين تجميلي يعبر عن مجموعة من الصور",
+  "Create images embedding": "انشئ التضمين التجميلي",
+  "Image Browser": "معرض الصور",
+  "Load": "حمّل",
   "Images directory": "مجلد الصور",
-  "Prev batch": "الدفعة السابقة",
-  "Next batch": "الدفعة التالية",
   "First Page": "الصفحة الأولى",
   "Prev Page": "الصفحة السابقة",
-  "Page Index": "فهرس الصفحات",
+  "Page Index": "رقم الصفحة",
   "Next Page": "الصفحة التالية",
-  "End Page": "صفحة النهاية",
-  "number of images to delete consecutively next": "عدد الصور المطلوب حذفها على التوالي بعد ذلك",
-  "Delete": "حذف",
-  "Generate Info": "معلومات الإنشاء",
+  "End Page": "الصفحة الأخيرة",
+  "number of images to delete consecutively next": "عدد الصور المتتالية للحذف",
+  "Delete": "احذف",
+  "Generate Info": "معلومات عامة",
   "File Name": "اسم الملف",
-  "Collect": "جمع",
-  "Refresh page": "إعادة تحميل الصفحة",
-  "Date to": "التاريخ إلى",
-  "Number": "الرقم",
-  "set_index": "وضع الفهرس",
-  "Checkbox": "صندوق اختيار",
-  "Apply settings": "تطبيق الإعدادات",
-  "Saving images/grids": "حفظ الصور / الإطار الشبكي",
-  "Always save all generated images": "احفظ دائمًا جميع الصور التي تم إنشائها",
-  "File format for images": "تنسيق ملفات الصور",
-  "Images filename pattern": "نمط اسم ملفات الصور",
-  "Add number to filename when saving": "Add number to filename when saving",
-  "Always save all generated image grids": "احفظ دائمًا جميع الإطارات الشبكية للصور التي تم إنشاؤها",
-  "File format for grids": "تنسيق ملفات الإطارات الشبكية",
-  "Add extended info (seed, prompt) to filename when saving grid": "أضف معلومات إضافية (البذرة ، الموجه) إلى اسم الملف عند حفظ الإطار الشبكي",
-  "Do not save grids consisting of one picture": "لا تحفظ الإطارات الشبكية التي تتكون من صورة واحدة",
-  "Prevent empty spots in grid (when set to autodetect)": "منع المناطق الفارغة في الإطار الشبكي (عند الضبط على الاكتشاف التلقائي)",
-  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف الإطار الشبكي استخدم -1 للاكتشاف التلقائي و 0 ليكون نفس حجم الدُفعة",
-  "Save text information about generation parameters as chunks to png files": "احفظ معلومات نصية حول متغيرات الإنشاء كمقاطع في ملفات png",
-  "Create a text file next to every image with generation parameters.": "قم بإنشاء ملف نصي بجوار كل صورة باستخدام متغيرات الإنشاء.",
-  "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل القيام بترميم الوجوه.",
-  "Quality for saved jpeg images": "جودة الصور المحفوظة بتنسيق jpeg",
-  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كانت صورة PNG أكبر من 4 ميجابايت أو كان أي بُعد أكبر من 4000 ، قم بتقليل حجم الصورة وحفظها بتنسيق JPG",
-  "Use original name for output filename during batch process in extras tab": "استخدم الاسم الأصلي لاسم ملف الإخراج أثناء عملية الدُفعات في علامة تبويب الإضافات",
-  "When using 'Save' button, only save a single selected image": "عند استخدام زر 'حفظ' ، احفظ فقط صورة واحدة محددة",
-  "Do not add watermark to images": "لا تقم بإضافة العلامة المائية للصور",
-  "Paths for saving": "مسارات الحفظ",
-  "Output directory for images; if empty, defaults to three directories below": "مجلد المخرجات للصور ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدات الثلاثة أدناه",
-  "Output directory for txt2img images": "مجلد المخرجات لصور نص لصورة",
-  "Output directory for img2img images": "مجلد المخرجات لصور صورة لصورة",
-  "Output directory for images from extras tab": "مجلد المخرجات لصور علامة تبويب الإضافات",
-  "Output directory for grids; if empty, defaults to two directories below": "مجلد المخرجات للإطارات الشبكية ؛ إذا كان فارغا ، يتم تعيينه افتراضيًا إلى المجلدين أدناه",
-  "Output directory for txt2img grids": "مجلد المخرجات للإطارات الشبكية نص لصورة",
-  "Output directory for img2img grids": "مجلد المخرجات للإطارات الشبكية صورة لصورة",
-  "Directory for saving images using the Save button": "مجلد لحفظ الصور باستخدام زر حفظ",
-  "Saving to a directory": "يتم الحفظ إلى المجلد..",
-  "Save images to a subdirectory": "حفظ الصور في مجلد فرعي",
-  "Save grids to a subdirectory": "حفظ الإطارات الشبكية في مجلد فرعي",
+  "Collect": "اجمع",
+  "extras": "معالجة",
+  "favorites": "المفضلة",
+  "custom fold": "مجلد آخر",
+  "Input images directory": "مجلد الصور المدخلة",
+  "Settings": "إعدادات",
+  "Apply settings": "طبق الإعدادت",
+  "Saving images/grids": "حفظ الصور وجداولها",
+  "Always save all generated images": "احفظ كل الصور المنتجة",
+  "File format for images": "صيغة ملفات الصور",
+  "Images filename pattern": "نمط تسمية الصور",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم الأوسمة التالية لتحديد كيفية تسمية الصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] أو اتركه فارغا إذا أردت",
+  "Add number to filename when saving": "دائما أضف رقم على اسم الملف",
+  "Always save all generated image grids": "احفظ جداول الصور دائما",
+  "File format for grids": "صيغة ملفات جداول الصور",
+  "Add extended info (seed, prompt) to filename when saving grid": "أضف عوامل الإنتاج (مثل الطلب والبذرة) لأسماء جداول الصور",
+  "Do not save grids consisting of one picture": "لا تحفظ جدول الصور عند إنتاج صورة واحدة فقط",
+  "Prevent empty spots in grid (when set to autodetect)": "في الوضع التلقائي امنع الفراغات في جداول الصور",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "عدد صفوف جداول الصور (1-: تلقائي، 0: نفس حجم الحزمة)",
+  "Save text information about generation parameters as chunks to png files": "احفظ عوامل الإنتاج داخل ملفات الصور (صيغة PNG)",
+  "Create a text file next to every image with generation parameters.": "انشئ ملف نصي يحتوي على عوامل الإنتاج بجانب كل صورة",
+  "Save a copy of image before doing face restoration.": "احفظ نسخة من الصورة قبل تحسين الوجوه",
+  "Quality for saved jpeg images": "جودة حفظ صور JPEG",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "إذا كان حجم ملف صورة PNG أكبر من 4MB أو أحد أبعاد الصورة أكبر من 4000 بيكسل، صغر الصورة واحفظها بصيغة JPEG",
+  "Use original name for output filename during batch process in extras tab": "استخدم الإسم الأصلي للصور عند معالجتهم في حزم تحت تبويب معالجة",
+  "When using 'Save' button, only save a single selected image": "احفظ صورة واحدة فقط عند الضغط على حفظ",
+  "Do not add watermark to images": "لا تضف علامة مائية على الصور",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "الصور المنتجة لن تحتوي على علامة مائية عند تفعيل هذا الخيار، تحذير: ربما قد يدل هذا على أنك تتصرف بشكل غير أخلاقي",
+  "Paths for saving": "اماكن الحفظ",
+  "Output directory for images; if empty, defaults to three directories below": "مسار حفظ الصور المخرجة؛ يمكن أن يترك فارغا",
+  "Output directory for txt2img images": "مسار الصور المخرجة من تبويب نص إلى صورة",
+  "Output directory for img2img images": "مسار الصور المخرجة من تبويب صورة إلى صورة",
+  "Output directory for images from extras tab": "مسار الصور المخرجة من تبويب معالجة",
+  "Output directory for grids; if empty, defaults to two directories below": "مسار حفظ جداول الصور المخرجة؛ يمكن أن يترك فارغا",
+  "Output directory for txt2img grids": "مسار جداول الصور المخرجة من تبويب نص إلى صورة",
+  "Output directory for img2img grids": "مسار جداول الصور المخرجة من تبويب صورة إلى صورة",
+  "Directory for saving images using the Save button": "مسار حفظ الصور عند الضغط على زر الحفظ",
+  "Saving to a directory": "مجلدات الحفظ",
+  "Save images to a subdirectory": "احفظ الصور في مجلد فرعي",
+  "Save grids to a subdirectory": "احفظ جداول الصور في مجلد فرعي",
   "When using \"Save\" button, save images to a subdirectory": "احفظ الصور في مجلد فرعي عند الضغط على زر الحفظ",
   "Directory name pattern": "نمط اسم المجلد",
-  "Max prompt words for [prompt_words] pattern": "أقصى عدد لكلمات التوجيه لنمط [كلمات_التوجيه]",
-  "Upscaling": "الارتقاء",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم التبليط لترقيات ESRGAN, القيمة 0= لا يوجد تبليط.",
-  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل المربعات ، بالبكسل لمرقي ESRGAN. القيم المنخفضة = تداخل مرئي.",
-  "Tile size for all SwinIR.": "حجم التليط لجميع عمليات SwinIR.",
-  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل المربعات بالبكسل لـ SwinIR. القيم المنخفضة = تداخل مرئي.",
-  "LDSR processing steps. Lower = faster": "خطوات معالجة LDSR. أقل = أسرع",
-  "Upscaler for img2img": "المرقي لصورة لصورة",
-  "Upscale latent space image when doing hires. fix": "ترقية صورة الفضاء الكامن عند التعيينات. تصليح",
-  "Face restoration": "ترميم الوجوه",
-  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "متغيرات وزن CodeFormer ؛ 0 = أقصى تأثير ؛ 1 = الحد الأدنى من التأثير",
-  "Move face restoration model from VRAM into RAM after processing": "انقل نموذج استعادة الوجوه من VRAM إلى RAM بعد المعالجة",
-  "System": "نظام",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "استطلاعات استخدام VRAM في الثانية أثناء الإنشاء. اضبط على 0 للتعطيل.",
-  "Always print all generation info to standard output": "قم دائمًا بطباعة جميع معلومات الإنشاء إلى المخرج القياسي",
-  "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم آخر إلى وحدة التحكم يُظهر التدقم الكلي للمهمة.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم الأوسمة التالية لحديد كيفية تسمية المجلدات الفرعية للصور والصور المركبة: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] أو اتركه فارغا إذا أردت",
+  "Max prompt words for [prompt_words] pattern": "أقصى عدد كلمات الطلب عند استخدام وسم [prompt_words]",
+  "Upscaling": "تكبير الصور",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم نافذة المكبر ESRGAN (يمكن أن يكون 0)",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "تداخل نافذة المكبر ESRGAN (تتضح الفواصل إذا كان قليل)",
+  "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "حدد ما تريد عرضه كخيار لمكبر من نوع Real-ESRGAN يمكن استخدامه (يتطلب إعادة تشغيل)",
+  "Tile size for all SwinIR.": "حجم نافذة المكبر SwinIR",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل نافذة المكبر SwinIR (تتضح الفواصل إذا كان قليل)",
+  "LDSR processing steps. Lower = faster": "عدد خطوات مكبر LDSR (أسرع كلما قلت)",
+  "Upscaler for img2img": "طريقة التكبير تحت تبويب صورة إلى صورة",
+  "Upscale latent space image when doing hires. fix": "عند اختيار \"أقل دقة\" قم بالتكبير في الفضاء الكامن",
+  "Face restoration": "تحسين الوجوه",
+  "Face restoration model": "نموذج تحسين الوجوه",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "وزن CodeFormer (يزيد التفاصيل على حساب الجودة)",
+  "Move face restoration model from VRAM into RAM after processing": "احذف محسن الوجوه من ذاكرة كرت الشاشة (VRAM) بعد استخدامه",
+  "System": "النظام",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "عدد مرات التحقق من ذاكرة كرت الشاشة المستخدمة (VRAM) في الثانية",
+  "Always print all generation info to standard output": "اطبع دائما كل عوامل الإنتاج",
+  "Add a second progress bar to the console that shows progress for an entire job.": "أضف شريط تقدم ثاني لعملية الإنتاج الكاملة",
   "Training": "التدريب",
-  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "تفريغ VAE و CLIP من VRAM عند التدريب",
-  "Filename word regex": "اسم ملف كلمات regex",
-  "Filename join string": "سلسلة أحرف دمج أسماء الملفات",
-  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد التكرارات لصورة إدخال واحدة لكل حقبة ؛ تستخدم فقط لعرض رقم الحقبة",
-  "Save an csv containing the loss to log directory every N steps, 0 to disable": "حفظ ملف csv يحتوي على الخسارة إلى مجلد السجل كل N خطوات ، 0 للتعطيل",
-  "Stable Diffusion": "انتشار مستقر",
-  "Checkpoints to cache in RAM": "التخزين المؤقت للنماذج في RAM",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "قلل استخدام ذاكرة كرت الشاشة (VRAM) عند تدريب الشبكة الفائقة بالتخلص من CLIP وVAE",
+  "Filename word regex": "التعبير النمطي (RegEx) لكلمات اسم الملف",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "استخدم هذا التعبير لاستخراج كلمات من أسماء الملفات ليتم دمجها بالخيار التالي لتستخدم في التدريب، اتركه فارغا لتستخدم اسم الملف كما هو",
+  "Filename join string": "النص الفاصل للكلمات المدموجة",
+  "This string will be used to join split words into a single line if the option above is enabled.": "سيستخدم بين كل كلمة يتم استخراجها من الخيار السابق",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد مرات تكرار الصور في كل دورة (Epoch)، يستخدم للعرض فقط",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "احفظ خسارة التدريب (Loss) في السجل بعد كل كم خطوة (لا تحفظ إذا كان 0)",
+  "Stable Diffusion": "نموذج التشعث الرزين (Stable Diffusion)",
+  "Checkpoints to cache in RAM": "عدد النماذج التي تترك في الذاكرة العشوائية (RAM)",
   "Hypernetwork strength": "قوة الشبكة الفائقة",
-  "Apply color correction to img2img results to match original colors.": "قم بتطبيق تصحيح الألوان على نتائج صورة لصورة لمطابقة الألوان الأصلية.",
-  "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصورة قبل تطبيق تصحيح الألوان على نتائج  صورة لصورة",
-  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "باستخدام صورة لصورة ، قم بالضبط بعدد الخطوات التي يحددها شريط التمرير (عادةً ما سيكون أقل مع تقليل التشويش).",
-  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "تمكين تكميم عينات K للحصول على نتائج أوضح وأنظف. هذا قد يغير البذرة المستخدمة. يتطلب إعادة التشغيل للتطبيق.",
-  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "التأكيد: استخدم (النص) لجعل النموذج يولي مزيدًا من الاهتمام للنص و استخدم [النص] لجعل النموذج يولي اهتمامًا أقل  للنص",
-  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم طريقة التأكيد القديمة. يمكن أن يكون مفيدًا لإعادة إنتاج البذور القديمة.",
-  "Make K-diffusion samplers produce same images in a batch as when making a single image": "اجعل انظمة أخذ عينات الانتشار K تنتج نفس الصور في الدفعات كما هو الحال عند إنشاء صورة واحدة",
-  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "زيادة التناسق عن طريق المساحة المتروكة من الفاصلة الأخيرة ضمن عدد n من الرموز المميزة عند استخدام أكثر من 75 رمزًا مميزًا",
-  "Filter NSFW content": "تصفية المحتوى الإباحي",
-  "Stop At last layers of CLIP model": "توقف عند آخر طبقات نموذج CLIP",
+  "Apply color correction to img2img results to match original colors.": "صحح ألوان نتائج صورة إلى صورة لتشابه الصورة الأصلية",
+  "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصور المنتجة من صورة إلى صورة قبل عملية تصحيح الألوان",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "استخدم بالضبط عدد الخطوات المحددة بالرغم من قسط المشوار (عدد الخطوات الإفتراضي = عدد الخطوات / قسط المشوار)",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "فعل التجزيء الكمي (Quantization) لأغلب أساليب الخطو (k-diffusion) للحصول على صور أنظف (يتطلب إعادة تشغيل)",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "أحط أي كلمة أو عبارة في الطلب أو عكسه بأقواس () للتشديد أو [] للتيسير",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم الطريقة القديمة للتشديد (إذا كانت لديك نتائج قديمة تريد تجربتها)",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "عدم تأثير تحزيم الصور على البذور عند استخدام أساليب خطو (k-diffusion)",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "عند استخدام طلب طويل أكبر من 75 وحدة لغوية، افصل الطلب عند أخر فاصلة قبل كم كلمة",
+  "Filter NSFW content": "انتق المحتوى النظيف فقط",
+  "Stop At last layers of CLIP model": "قف عند آخر كم طبقة لنموذج CLIP",
+  "Allowed categories for random artists selection when using the Roll button": "اختر اهتمامات الفنانين المسموح بإضافتهم للطلب",
   "Interrogate Options": "خيارات الاستجواب",
-  "Interrogate: keep models in VRAM": "الاستجواب: احتفظ بالنماذج في VRAM",
-  "Interrogate: use artists from artists.csv": "الاستجواب: استخدم  قائمة الفنانين من ملف artists.csv",
-  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "الاستجواب: قم بتضمين رتب علامات النموذج في النتائج (ليس له تأثير على الاستجواب المستند إلى التعليقات).",
-  "Interrogate: num_beams for BLIP": "الاستجواب: عدد الحزم لـ BLIP",
-  "Interrogate: minimum description length (excluding artists, etc..)": "الاستجواب: الحد الأدنى لطول الوصف (باستثناء الفنانين ،إلخ..)",
-  "Interrogate: maximum description length": "الاستجواب: الحد الأقصى لطول الوصف",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: أقصى عدد من الأسطر في الملف النصي (0 = بلا حدود)",
-  "Interrogate: deepbooru score threshold": "الاستجواب: عتبة درجات deepbooru",
-  "Interrogate: deepbooru sort alphabetically": "الاستجواب: الترتيب الأبجدي لـ deepbooru",
-  "use spaces for tags in deepbooru": "استخدام مسافات للعلامات في deepbooru",
+  "Interrogate: keep models in VRAM": "ابق نموذج الاستجواب في ذاكرة كرت الشاشة (VRAM)",
+  "Interrogate: use artists from artists.csv": "استخدم قائمة الفنانين في الاستجواب من ملف artists.csv",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "أدرج رتب الشعارات عند الاستجواب (لا تعمل مع جميع النماذج)",
+  "Interrogate: num_beams for BLIP": "عدد أشعة الاستجواب لنموذج BLIP",
+  "Interrogate: minimum description length (excluding artists, etc..)": "أقل عدد كلمات للتوصيف (لا يتضمن الفنانين وغيرهم)",
+  "Interrogate: maximum description length": "أكثر عدد كلمات للتوصيف",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "أكثر عدد أسطر لملف نصي عند الاستجواب باستخدام CLIP (0 = بدون حد)",
+  "Interrogate: deepbooru score threshold": "حد درجة الاستجواب باستخدام deepbooru",
+  "Interrogate: deepbooru sort alphabetically": "رتب نتائج توصيف deepbooru أبجديا",
+  "use spaces for tags in deepbooru": "افصل شعارات deepbooru بمسافات",
   "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "تجاهل الأقواس عند استخدام deepbooru (كي لا تعامل كأقواس التشديد)",
   "User interface": "واجهة المستخدم",
-  "Show progressbar": "إظهار شريط التقدم",
-  "Show image creation progress every N sampling steps. Set 0 to disable.": "إظهار تقدم إنشاء الصورة لكل N خطوة من خطوات أخذ العينات. قم بتعيين 0 للتعطيل.",
-  "Show previews of all images generated in a batch as a grid": "إظهار معاينة لجميع الصور التي يتم إنشائها في الدفعة كإطار شبكي",
-  "Show grid in results for web": "إظهار الإطار الشبكي في نتائج الويب",
-  "Do not show any images in results for web": "لا تظهر أي صور في نتائج الويب",
-  "Add model hash to generation information": "أضف معلومات الهاش للنموذج إلى معلومات الإنشاء",
-  "Add model name to generation information": "أضف اسم النموذج إلى معلومات الإنشاء",
-  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "عند قراءة متغيرات الإنشاء من النص إلى واجهة المستخدم (من معلومات PNG أو النص الملصق) ، لا تقم بتغيير النموذج",
-  "Font for image grids that have text": "الخط المستخدم للإطارات الشبكية للصور التي تحتوي على نص",
-  "Enable full page image viewer": "تفعيل عارض الصور ذو الصفحة الكاملة",
-  "Show images zoomed in by default in full page image viewer": "إظهار الصور التي تم تكبيرها بشكل افتراضي في عارض الصور ذو الصفحة الكاملة",
-  "Show generation progress in window title.": "إظهار تقدم الإنشاء في عنوان الشاشة.",
+  "Show progressbar": "اظهر شريط التقدم",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "اعرض صورة بعد كل كم خطوة (لا تعرض إذا كان 0)",
+  "Show previews of all images generated in a batch as a grid": "اعرض كل الصور التي تم إنتاجها في حزمة كجدول",
+  "Show grid in results for web": "أظهر نتائج جداول الصور",
+  "Do not show any images in results for web": "لا تظهر نتائج الصور",
+  "Add model hash to generation information": "أضف رمز تهشير (Hash) ملف الأوزان لعوامل الإنتاج",
+  "Add model name to generation information": "أضف اسم ملف الأوزان لعوامل الإنتاج",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "لا تغير الأوزان المختارة عند قراءة عوامل الإنتاج من صورة أو من ملف",
+  "Font for image grids that have text": "نوع الخط في جداول الصور التي تحتوي على نصوص",
+  "Enable full page image viewer": "اسمح بعرض الصور في وضع ملئ الشاشة",
+  "Show images zoomed in by default in full page image viewer": "اعرض الصور مقربة عند استخدام وضع ملئ الشاشة",
+  "Show generation progress in window title.": "أظهر التقدم في عنوان النافذة",
   "Quicksettings list": "قائمة الإعدادات السريعة",
-  "Localization (requires restart)": "الترجمة (يتطلب إعادة التشغيل)",
-  "Sampler parameters": "متغيرات أنظمة اخذ العينات",
-  "Hide samplers in user interface (requires restart)": "إخفاء أنظمة أخذ العينات في واجهة المستخدم (يتطلب إعادة التشغيل)",
-  "eta (noise multiplier) for DDIM": "الوقت المتبقي (مضاعف الضوضاء) لـ DDIM",
-  "eta (noise multiplier) for ancestral samplers": "الوقت المتبقي (مضاعف الضوضاء) لأنظمة أخذ العينات التي تعتمد على الأجداد",
-  "img2img DDIM discretize": "تفصل DDIM لصورة لصورة",
-  "uniform": "التوحيد",
-  "quad": "رباعية",
-  "sigma churn": "دفع سيجما",
-  "sigma tmin": "سيجما tmin",
-  "sigma noise": "ضجيج سيجما",
-  "Eta noise seed delta": "الوقت المتوقع لديلتا بذرة الضجيج ",
-  "Images Browser": "مستعرض الصور",
-  "Preload images at startup": "تحميل الصور مسبقًا عند بدء التشغيل",
-  "Number of columns on the page": "Number of columns on the page",
-  "Number of rows on the page": "Number of rows on the page",
-  "Minimum number of pages per load": "الحد الأدنى لعدد الصفحات لكل تحميل",
-  "Request browser notifications": "طلب إشعارات المتصفح",
-  "Download localization template": "تنزيل نموذج الترجمة",
-  "Reload custom script bodies (No ui updates, No restart)": "إعادة تحميل السكريبتات المخصصة (لا توجد تحديثات لواجهة المستخدم ، لا إعادة تشغيل)",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعادة تشغيل  Gradio و تحديث مكونات واجهة الاستخدام (السكريبتات و ui.py و js و css فقط)",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "الموجه السلبي (اضغط على Ctrl + Enter أو Alt + Enter للإنشاء)",
-  "Add a random artist to the prompt.": "أضف فنانًا عشوائيًا إلى الموجه.",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "قراءة متغيرات الإنشاء من الموجه أو الإنشاء الأخير إذا كان الموجه فارغا في واجهة المستخدم.",
-  "Save style": "حفظ النمط",
-  "Apply selected styles to current prompt": "تطبيق الأنماط المحددة للموجه الحالي",
-  "Stop processing current image and continue processing.": "توقف عن معالجة الصورة الحالية واستمر في المعالجة.",
-  "Stop processing images and return any results accumulated so far.": "توقف عن معالجة الصور وقم بإرجاع أي نتائج متراكمة حتى الآن.",
-  "Style to apply; styles have components for both positive and negative prompts and apply to both": "النمط المطلوب تطبيقه ؛ الأنماط لها مكونات لكل من الموجهات الإيجابية والسلبية وتنطبق على كليهما",
-  "Do not do anything special": "لا تفعل أي شيء خاص",
-  "Which algorithm to use to produce the image": "الخوارزمية التي يجب استخدامها لإنتاج الصورة",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - مبدع جدًا ، يمكن لكل منها الحصول على صورة مختلفة تمامًا اعتمادًا على عدد الخطوات ، تعيين الخطوات على أعلى من 30-40 لا يعطي نتيجة مفيدة",
-  "Denoising Diffusion Implicit Models - best at inpainting": "نماذج تقليل التشويش الضمني  - أفضل اسخدام في الرسم الجزئي",
-  "Produce an image that can be tiled.": "أنتج صورة يمكن تبليطها.",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "استخدم عملية من خطوتين لإنشاء صورة جزئيًا بدقة أقل ثم ترقيتها و تحسين تفاصيلها دون تغيير التكوين",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "يحدد مدى ضآلة احترام الخوارزمية لمحتوى الصورة. عند 0 ، لن يتغير شيء ، وعند 1 ستحصل على صورة لا صلة لها بالصورة الأصلية. مع وجود قيم أقل من 1.0 ، المعالجة ستأخذ خطوات أقل مما يحدده شريط تمرير خطوات المعالجة.",
-  "How many batches of images to create": "كم عدد دفعات الصور التي يتم إنشائها",
-  "How many image to create in a single batch": "كم صورة يتم إنشائها دفعة واحدة",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "مقياس التوجيه الحر للمصنف - إلى أي مدى يجب أن تتوافق الصورة مع الموجه - القيم المنخفضة تنتج نتائج أكثر إبداعًا",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "القيمة التي تحدد ناتج منشئ الأرقام العشوائية - إذا قمت بإنشاء صورة بنفس المتغيرات و بذرة الصورة ، فستحصل على نفس النتيجة",
-  "Set seed to -1, which will cause a new random number to be used every time": "عيّن البذرة إلى -1 ، مما سيؤدي إلى استخدام رقم عشوائي جديد في كل مرة",
-  "Reuse seed from last generation, mostly useful if it was randomed": "إعادة استخدام البذرة من الإنشاء الأخير ، وتكون مفيدة في الغالب إذا كانت عشوائية",
-  "Seed of a different picture to be mixed into the generation.": "استخدام بذرة من صورة مختلفة ليتم مزجها في الإنشاء.",
-  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "ما مدى قوة التباين عند الإنشاء. 0 ، لن يكون هناك أي تأثير. 1 ، ستحصل على الصورة الكاملة ببذور التباين (باستثناء أنظمة عينات الأسلاف ، حيث ستحصل على شيء ما فقط).",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "قم بمحاولة لإنتاج صورة مشابهة لما تم إنتاجه بنفس البذرة بناءا على دقة محددة",
-  "This text is used to rotate the feature space of the imgs embs": "This text is used to rotate the feature space of the imgs embs",
-  "Separate values for X axis using commas.": "افصل بين قيم المحور X باستخدام الفواصل.",
-  "Separate values for Y axis using commas.": "افصل بين قيم المحور Y باستخدام الفواصل.",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "اكتب الصورة إلى مجلد (الافتراضي -  log/images) وتوليد المتغيرات في ملف csv.",
-  "Open images output directory": "افتح مجلد مخرجات الصور",
-  "How much to blur the mask before processing, in pixels.": "كم يتم تضبيب القناع قبل المعالجة ، بالبكسل.",
-  "What to put inside the masked area before processing it with Stable Diffusion.": "ما يجب وضعه داخل المنطقة المقنعة قبل معالجتها باستخدام الانتشار المستقر.",
-  "fill it with colors of the image": "املأها بألوان الصورة",
-  "keep whatever was there originally": "احتفظ بكل ما كان هناك في الأصل",
-  "fill it with latent space noise": "املأه بضوضاء الفضاء الكامنة",
-  "fill it with latent space zeroes": "املأه بأصفار الفضاء الكامنة",
-  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "قم بترقية المنطقة المقنعة إلى الدقة المستهدفة و الرسم الجزئي ثم تقليص الحجم  واللصق في الصورة الأصلية",
-  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "تغيير حجم الصورة إلى الدقة المستهدفة. ما لم يتطابق الطول والعرض ، ستحصل على نسبة عرض إلى ارتفاع غير صحيحة.",
-  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "قم بتغيير حجم الصورة بحيث يتم ملء الدقة المستهدفة بالكامل بالصورة. يتم قطع المناطق التي تبرز.",
-  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "قم بتغيير حجم الصورة بحيث تكون الصورة بأكملها داخل الدقة المستهدفة. املأ المساحة الفارغة بألوان الصورة.",
-  "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم تكرار معالجة صورة واستخدامها  كمدخل للتكرار التالي",
-  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "في وضع حلقة الاسترجاع ، يتم ضرب قوة تقليل الضوضاء بهذه القيمة في كل حلقة. يعني <1 تقليل التنوع بحيث يتقارب التسلسل الخاص بك على صورة ثابتة. > 1 يعني زيادة التنوع بحيث يصبح تسلسلك أكثر وأكثر فوضوية.",
-  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "الترقية باستخدام الانتشار المستقر ، كم يجب أن يكون مقدار التداخل بالبكسل بين المربعات. تتداخل المربعات بحيث لا يكون هناك خط واضح للعيان عند دمجها مرة أخرى في صورة واحدة.",
-  "A directory on the same machine where the server is running.": "مجلد على نفس الجهاز حيث يتم تشغيل الخادم.",
-  "Leave blank to save images to the default path.": "اتركه فارغًا لحفظ الصور في المسار الافتراضي.",
-  "Result = A * (1 - M) + B * M": "النتيجة = A * (1 - M) + B * M",
-  "Result = A + (B - C) * M": "النتيجة = A + (B - C) * M",
-  "1st and last digit must be 1. ex:'1, 2, 1'": "يجب أن يكون الرقم الأول والأخير 1. على سبيل المثال: '1 ، 2 ، 1'",
-  "Path to directory with input images": "المسار إلى مجلد الصور المدخلة",
-  "Path to directory where to write outputs": "المسار إلى مجلد كتابة النتائج",
-  "Input images directory": "مجلد الصور المدخلة",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتعريف كيفية اختيار أسماء الملفات للصور: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
-  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "إذا تم تمكين هذا الخيار ، فلن تتم إضافة العلامة المائية إلى الصور التي تم إنشاؤها. تحذير: إذا لم تقم بإضافة علامة مائية ، فقد تكون تتصرف بطريقة غير أخلاقية.",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم العلامات التالية لتحديد كيفية اختيار المجادت الفرعية للصور و الإطارات الشبكية : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] ؛ اتركه فارغا للوضع الافتراضي.",
-  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "سيتم استخدام هذا التعبير العادي لاستخراج الكلمات من اسم الملف ، وسيتم ضمها باستخدام الخيار أدناه في نص التسمية المستخدم للتدريب. اتركه فارغًا للاحتفاظ بنص اسم الملف كما هو.",
-  "This string will be used to join split words into a single line if the option above is enabled.": "سيتم استخدام هذا النص لضم الكلمات المقسمة إلى سطر واحد إذا تم تمكين الخيار أعلاه.",
-  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة أسماء الإعدادات ، مفصولة بفواصل ، للإعدادات التي يجب أن تنتقل إلى شريط الوصول السريع في الأعلى ، بدلاً من علامة تبويب الإعداد المعتادة. انظر modules / shared.py للتعرف على أسماء الإعدادات. يتطلب إعادة التشغيل للتطبيق.",
-  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "إذا كانت هذه القيم غير صفرية ، فستتم إضافتها إلى البذرة واستخدامها لتهيئة فوضى الضوضاء عند استخدام أنظمة أخذ العينات باستخدام الوقت المتبقي. يمكنك استخدام ذلك لإنتاج المزيد من التنوعات في الصور ، أو يمكنك استخدامه لمطابقة صور البرامج الأخرى إذا كنت تعرف ما تفعله."
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة مقسمة بفواصل لأسماء الإعدادات التي يجب أن تظهر في الأعلى لتسهيل الوصول إليها، انظر إلى modules/shared.py لمعرفة الأسماء، يتطلب إعادة تشغيل",
+  "Localization (requires restart)": "اللغة/language (يتطلب إعادة تشغيل/requires restart)",
+  "ar_AR": "العربية",
+  "Sampler parameters": "عوامل أساليب الخطو",
+  "Hide samplers in user interface (requires restart)": "اخف أساليب الخطو التالية (يتطلب إعادة تشغيل)",
+  "eta (noise multiplier) for DDIM": "العامل Eta η لأسلوب الخطو DDIM",
+  "eta (noise multiplier) for ancestral samplers": "العامل Eta η لأساليب الخطو السلفية (Ancestral)",
+  "img2img DDIM discretize": "طريقة التقطيع (Discretization) لأسلوب الخطو DDIM في وضع صورة إلى صورة",
+  "uniform": "خطية",
+  "quad": "تربيعية",
+  "sigma churn": "العشوائية (Schurn)",
+  "sigma tmin": "أدنى تشويش (Stmin)",
+  "sigma noise": "التشويش (Snoise)",
+  "Eta noise seed delta": "إزاحة بذرة أساليب الخطو التي تستعمل العامل Eta η",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "هذا الرقم سيتم إضافته إلى البذرة عند استخدام أحد أساليب الخطو التي تستعمل العامل Eta η، يفيد هذا الخيار في مشابهة نتائج بعض البرامج الأخرى التي تستعمله",
+  "Images Browser": "معرض الصور",
+  "Preload images at startup": "حمل الصور عند بدء التشغيل",
+  "Number of columns on the page": "عدد الأعمدة في كل صفحة",
+  "Number of rows on the page": "عدد الصفوف في كل صفحة",
+  "Minimum number of pages per load": "أقل عدد صور يتم تحميلها كل مرة",
+  "Request browser notifications": "اطلب تنبيهات المتصفح",
+  "Download localization template": "حمل ملف اللغة",
+  "Reload custom script bodies (No ui updates, No restart)": "أعد تحميل الأدوات (بدون واجهة المستخدم ولا يحتاج إعادة تشغيل)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تحميل مكونات gradio (الأدوات الخاصة وواجهة المستخدم فقط)"
 }
\ No newline at end of file

From 54f0c1482427a5b3f2248b97be55878e742cbcb1 Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Tue, 25 Oct 2022 16:14:13 -0700
Subject: [PATCH 161/321] download better face detection module dynamically

---
 modules/textual_inversion/autocrop.py   | 20 ++++++++++++++++++++
 modules/textual_inversion/preprocess.py | 13 +++++++++++--
 requirements.txt                        |  2 ++
 3 files changed, 33 insertions(+), 2 deletions(-)

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
index caaf18c8..01a92b12 100644
--- a/modules/textual_inversion/autocrop.py
+++ b/modules/textual_inversion/autocrop.py
@@ -1,4 +1,5 @@
 import cv2
+import requests
 import os
 from collections import defaultdict
 from math import log, sqrt
@@ -293,6 +294,25 @@ def is_square(w, h):
   return w == h
 
 
+def download_and_cache_models(dirname):
+  download_url = 'https://github.com/opencv/opencv_zoo/blob/91fb0290f50896f38a0ab1e558b74b16bc009428/models/face_detection_yunet/face_detection_yunet_2022mar.onnx?raw=true'
+  model_file_name = 'face_detection_yunet.onnx'
+
+  if not os.path.exists(dirname):
+    os.makedirs(dirname)
+
+  cache_file = os.path.join(dirname, model_file_name)
+  if not os.path.exists(cache_file):
+    print(f"downloading face detection model from '{download_url}' to '{cache_file}'")
+    response = requests.get(download_url)
+    with open(cache_file, "wb") as f:
+      f.write(response.content)
+
+  if os.path.exists(cache_file):
+    return cache_file
+  return None
+
+
 class PointOfInterest:
   def __init__(self, x, y, weight=1.0, size=10):
     self.x = x
diff --git a/modules/textual_inversion/preprocess.py b/modules/textual_inversion/preprocess.py
index 1e4d4de8..e13b1894 100644
--- a/modules/textual_inversion/preprocess.py
+++ b/modules/textual_inversion/preprocess.py
@@ -7,6 +7,7 @@ import tqdm
 import time
 
 from modules import shared, images
+from modules.paths import models_path
 from modules.shared import opts, cmd_opts
 from modules.textual_inversion import autocrop
 if cmd_opts.deepdanbooru:
@@ -146,14 +147,22 @@ def preprocess_work(process_src, process_dst, process_width, process_height, pre
                 save_pic(splitted, index, existing_caption=existing_caption)
             process_default_resize = False
 
-        if process_entropy_focus and img.height != img.width:
+        if process_focal_crop and img.height != img.width:
+
+            dnn_model_path = None
+            try:
+                dnn_model_path = autocrop.download_and_cache_models(os.path.join(models_path, "opencv"))
+            except Exception as e:
+                print("Unable to load face detection model for auto crop selection. Falling back to lower quality haar method.", e)
+
             autocrop_settings = autocrop.Settings(
                 crop_width = width,
                 crop_height = height,
                 face_points_weight = process_focal_crop_face_weight,
                 entropy_points_weight = process_focal_crop_entropy_weight,
                 corner_points_weight = process_focal_crop_edges_weight,
-                annotate_image = process_focal_crop_debug
+                annotate_image = process_focal_crop_debug,
+                dnn_model_path = dnn_model_path,
             )
             for focal in autocrop.crop_image(img, autocrop_settings):
                 save_pic(focal, index, existing_caption=existing_caption)
diff --git a/requirements.txt b/requirements.txt
index da1969cf..75b37c4f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -8,6 +8,8 @@ gradio==3.5
 invisible-watermark
 numpy
 omegaconf
+opencv-python
+requests
 piexif
 Pillow
 pytorch_lightning

From df0c5ea29d7f0c682ac81f184f3e482a6450d018 Mon Sep 17 00:00:00 2001
From: captin411 <captindave@gmail.com>
Date: Tue, 25 Oct 2022 17:06:59 -0700
Subject: [PATCH 162/321] update default weights

---
 modules/textual_inversion/autocrop.py | 16 ++++++++--------
 modules/ui.py                         |  2 +-
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/modules/textual_inversion/autocrop.py b/modules/textual_inversion/autocrop.py
index 01a92b12..9859974a 100644
--- a/modules/textual_inversion/autocrop.py
+++ b/modules/textual_inversion/autocrop.py
@@ -71,9 +71,9 @@ def crop_image(im, settings):
   return results
 
 def focal_point(im, settings):
-    corner_points = image_corner_points(im, settings)
-    entropy_points = image_entropy_points(im, settings)
-    face_points = image_face_points(im, settings)
+    corner_points = image_corner_points(im, settings) if settings.corner_points_weight > 0 else []
+    entropy_points = image_entropy_points(im, settings) if settings.entropy_points_weight > 0 else []
+    face_points = image_face_points(im, settings) if settings.face_points_weight > 0 else []
 
     pois = []
 
@@ -144,7 +144,7 @@ def image_face_points(im, settings):
           settings.dnn_model_path,
           "",
           (im.width, im.height),
-          0.8, # score threshold
+          0.9, # score threshold
           0.3, # nms threshold
           5000 # keep top k before nms
       )
@@ -159,7 +159,7 @@ def image_face_points(im, settings):
           results.append(
             PointOfInterest(
               int(x + (w * 0.5)), # face focus left/right is center
-              int(y + (h * 0)), # face focus up/down is close to the top of the head
+              int(y + (h * 0.33)), # face focus up/down is close to the top of the head
               size = w,
               weight = 1/len(faces[1])
             )
@@ -207,7 +207,7 @@ def image_corner_points(im, settings):
         np_im,
         maxCorners=100,
         qualityLevel=0.04,
-        minDistance=min(grayscale.width, grayscale.height)*0.03,
+        minDistance=min(grayscale.width, grayscale.height)*0.06,
         useHarrisDetector=False,
     )
 
@@ -256,8 +256,8 @@ def image_entropy_points(im, settings):
 
 def image_entropy(im):
     # greyscale image entropy
-    band = np.asarray(im.convert("L"))
-    # band = np.asarray(im.convert("1"), dtype=np.uint8)
+    # band = np.asarray(im.convert("L"))
+    band = np.asarray(im.convert("1"), dtype=np.uint8)
     hist, _ = np.histogram(band, bins=range(0, 256))
     hist = hist[hist > 0]
     return -np.log2(hist / hist.sum()).sum()
diff --git a/modules/ui.py b/modules/ui.py
index 95b9c703..095200a8 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1270,7 +1270,7 @@ def create_ui(wrap_gradio_gpu_call):
 
                     with gr.Row(visible=False) as process_focal_crop_row:
                         process_focal_crop_face_weight = gr.Slider(label='Focal point face weight', value=0.9, minimum=0.0, maximum=1.0, step=0.05)
-                        process_focal_crop_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.3, minimum=0.0, maximum=1.0, step=0.05)
+                        process_focal_crop_entropy_weight = gr.Slider(label='Focal point entropy weight', value=0.15, minimum=0.0, maximum=1.0, step=0.05)
                         process_focal_crop_edges_weight = gr.Slider(label='Focal point edges weight', value=0.5, minimum=0.0, maximum=1.0, step=0.05)
                         process_focal_crop_debug = gr.Checkbox(label='Create debug image')
 

From de096d0ce752c96e45508dcc7b9e84f7dbe10cca Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Tue, 25 Oct 2022 14:48:49 +0900
Subject: [PATCH 163/321] Weight initialization and More activation func

add weight init

add weight init option in create_hypernetwork

fstringify hypernet info

save weight initialization info for further debugging

fill bias with zero for He/Xavier

initialize LayerNorm with Normal

fix loading weight_init
---
 modules/hypernetworks/hypernetwork.py | 47 ++++++++++++++++++++++-----
 modules/hypernetworks/ui.py           |  4 ++-
 modules/ui.py                         |  4 ++-
 3 files changed, 44 insertions(+), 11 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index d647ea55..afbcdff8 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -5,6 +5,7 @@ import html
 import os
 import sys
 import traceback
+import inspect
 
 import modules.textual_inversion.dataset
 import torch
@@ -15,10 +16,12 @@ from modules import devices, processing, sd_models, shared
 from modules.textual_inversion import textual_inversion
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 from torch import einsum
+from torch.nn.init import normal_, xavier_normal_, xavier_uniform_, kaiming_normal_, kaiming_uniform_, zeros_
 
 from collections import defaultdict, deque
 from statistics import stdev, mean
 
+
 class HypernetworkModule(torch.nn.Module):
     multiplier = 1.0
     activation_dict = {
@@ -26,9 +29,12 @@ class HypernetworkModule(torch.nn.Module):
         "leakyrelu": torch.nn.LeakyReLU,
         "elu": torch.nn.ELU,
         "swish": torch.nn.Hardswish,
+        "tanh": torch.nn.Tanh,
+        "sigmoid": torch.nn.Sigmoid,
     }
+    activation_dict.update({cls_name: cls_obj for cls_name, cls_obj in inspect.getmembers(torch.nn.modules.activation) if inspect.isclass(cls_obj) and cls_obj.__module__ == 'torch.nn.modules.activation'})
 
-    def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+    def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=None, weight_init='Normal', add_layer_norm=False, use_dropout=False):
         super().__init__()
 
         assert layer_structure is not None, "layer_structure must not be None"
@@ -65,9 +71,24 @@ class HypernetworkModule(torch.nn.Module):
         else:
             for layer in self.linear:
                 if type(layer) == torch.nn.Linear or type(layer) == torch.nn.LayerNorm:
-                    layer.weight.data.normal_(mean=0.0, std=0.01)
-                    layer.bias.data.zero_()
-
+                    w, b = layer.weight.data, layer.bias.data
+                    if weight_init == "Normal" or type(layer) == torch.nn.LayerNorm:
+                        normal_(w, mean=0.0, std=0.01)
+                        normal_(b, mean=0.0, std=0.005)
+                    elif weight_init == 'XavierUniform':
+                        xavier_uniform_(w)
+                        zeros_(b)
+                    elif weight_init == 'XavierNormal':
+                        xavier_normal_(w)
+                        zeros_(b)
+                    elif weight_init == 'KaimingUniform':
+                        kaiming_uniform_(w, nonlinearity='leaky_relu' if 'leakyrelu' == activation_func else 'relu')
+                        zeros_(b)
+                    elif weight_init == 'KaimingNormal':
+                        kaiming_normal_(w, nonlinearity='leaky_relu' if 'leakyrelu' == activation_func else 'relu')
+                        zeros_(b)
+                    else:
+                        raise KeyError(f"Key {weight_init} is not defined as initialization!")
         self.to(devices.device)
 
     def fix_old_state_dict(self, state_dict):
@@ -105,7 +126,7 @@ class Hypernetwork:
     filename = None
     name = None
 
-    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
         self.filename = None
         self.name = name
         self.layers = {}
@@ -114,13 +135,14 @@ class Hypernetwork:
         self.sd_checkpoint_name = None
         self.layer_structure = layer_structure
         self.activation_func = activation_func
+        self.weight_init = weight_init
         self.add_layer_norm = add_layer_norm
         self.use_dropout = use_dropout
 
         for size in enable_sizes or []:
             self.layers[size] = (
-                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
-                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
+                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
+                HypernetworkModule(size, None, self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
             )
 
     def weights(self):
@@ -144,6 +166,7 @@ class Hypernetwork:
         state_dict['layer_structure'] = self.layer_structure
         state_dict['activation_func'] = self.activation_func
         state_dict['is_layer_norm'] = self.add_layer_norm
+        state_dict['weight_initialization'] = self.weight_init
         state_dict['use_dropout'] = self.use_dropout
         state_dict['sd_checkpoint'] = self.sd_checkpoint
         state_dict['sd_checkpoint_name'] = self.sd_checkpoint_name
@@ -158,15 +181,21 @@ class Hypernetwork:
         state_dict = torch.load(filename, map_location='cpu')
 
         self.layer_structure = state_dict.get('layer_structure', [1, 2, 1])
+        print(self.layer_structure)
         self.activation_func = state_dict.get('activation_func', None)
+        print(f"Activation function is {self.activation_func}")
+        self.weight_init = state_dict.get('weight_initialization', 'Normal')
+        print(f"Weight initialization is {self.weight_init}")
         self.add_layer_norm = state_dict.get('is_layer_norm', False)
+        print(f"Layer norm is set to {self.add_layer_norm}")
         self.use_dropout = state_dict.get('use_dropout', False)
+        print(f"Dropout usage is set to {self.use_dropout}" )
 
         for size, sd in state_dict.items():
             if type(size) == int:
                 self.layers[size] = (
-                    HypernetworkModule(size, sd[0], self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
-                    HypernetworkModule(size, sd[1], self.layer_structure, self.activation_func, self.add_layer_norm, self.use_dropout),
+                    HypernetworkModule(size, sd[0], self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
+                    HypernetworkModule(size, sd[1], self.layer_structure, self.activation_func, self.weight_init, self.add_layer_norm, self.use_dropout),
                 )
 
         self.name = state_dict.get('name', self.name)
diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py
index 2b472d87..2c6c0470 100644
--- a/modules/hypernetworks/ui.py
+++ b/modules/hypernetworks/ui.py
@@ -8,8 +8,9 @@ import modules.textual_inversion.textual_inversion
 from modules import devices, sd_hijack, shared
 from modules.hypernetworks import hypernetwork
 
+keys = list(hypernetwork.HypernetworkModule.activation_dict.keys())
 
-def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, add_layer_norm=False, use_dropout=False):
+def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
     # Remove illegal characters from name.
     name = "".join( x for x in name if (x.isalnum() or x in "._- "))
 
@@ -25,6 +26,7 @@ def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None,
         enable_sizes=[int(x) for x in enable_sizes],
         layer_structure=layer_structure,
         activation_func=activation_func,
+        weight_init=weight_init,
         add_layer_norm=add_layer_norm,
         use_dropout=use_dropout,
     )
diff --git a/modules/ui.py b/modules/ui.py
index 03528968..8e343258 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1238,7 +1238,8 @@ def create_ui(wrap_gradio_gpu_call):
                     new_hypernetwork_name = gr.Textbox(label="Name")
                     new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
                     new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
-                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu", "elu", "swish"])
+                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=modules.hypernetworks.ui.keys)
+                    new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
                     new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
                     new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")
                     overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork")
@@ -1342,6 +1343,7 @@ def create_ui(wrap_gradio_gpu_call):
                 overwrite_old_hypernetwork,
                 new_hypernetwork_layer_structure,
                 new_hypernetwork_activation_func,
+                new_hypernetwork_initialization_option,
                 new_hypernetwork_add_layer_norm,
                 new_hypernetwork_use_dropout
             ],

From 7207e3bf49ed000464d288cd67e02f0ba8614dc3 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Tue, 25 Oct 2022 15:24:59 +0900
Subject: [PATCH 164/321] remove duplicate keys and lowercase

---
 modules/hypernetworks/hypernetwork.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index afbcdff8..842b6447 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -32,7 +32,7 @@ class HypernetworkModule(torch.nn.Module):
         "tanh": torch.nn.Tanh,
         "sigmoid": torch.nn.Sigmoid,
     }
-    activation_dict.update({cls_name: cls_obj for cls_name, cls_obj in inspect.getmembers(torch.nn.modules.activation) if inspect.isclass(cls_obj) and cls_obj.__module__ == 'torch.nn.modules.activation'})
+    activation_dict.update({cls_name.lower(): cls_obj for cls_name, cls_obj in inspect.getmembers(torch.nn.modules.activation) if inspect.isclass(cls_obj) and cls_obj.__module__ == 'torch.nn.modules.activation'})
 
     def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=None, weight_init='Normal', add_layer_norm=False, use_dropout=False):
         super().__init__()

From cbb857b675cf0f169b21515c29da492b513cc8c4 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 26 Oct 2022 09:44:02 +0300
Subject: [PATCH 165/321] enable creating embedding with --medvram

---
 modules/textual_inversion/textual_inversion.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 529ed3e2..647ffe3e 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -157,6 +157,9 @@ def create_embedding(name, num_vectors_per_token, overwrite_old, init_text='*'):
     cond_model = shared.sd_model.cond_stage_model
     embedding_layer = cond_model.wrapped.transformer.text_model.embeddings
 
+    with devices.autocast():
+        cond_model([""])  # will send cond model to GPU if lowvram/medvram is active
+
     ids = cond_model.tokenizer(init_text, max_length=num_vectors_per_token, return_tensors="pt", add_special_tokens=False)["input_ids"]
     embedded = embedding_layer.token_embedding.wrapped(ids.to(devices.device)).squeeze(0)
     vec = torch.zeros((num_vectors_per_token, embedded.shape[1]), device=devices.device)

From db9ab1a46b5ad4d36ecce76dfee04b7164249829 Mon Sep 17 00:00:00 2001
From: Stephen <farrenzo47@gmail.com>
Date: Mon, 24 Oct 2022 11:16:07 -0400
Subject: [PATCH 166/321] [Bugfix][API] - Fix API response for colab users

---
 modules/api/api.py    | 17 +++++++++++++----
 modules/api/models.py | 10 ++++++----
 2 files changed, 19 insertions(+), 8 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index a860a964..ba890243 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -7,6 +7,7 @@ import uvicorn
 from fastapi import Body, APIRouter, HTTPException
 from fastapi.responses import JSONResponse
 from pydantic import BaseModel, Field, Json
+from typing import List
 import json
 import io
 import base64
@@ -15,12 +16,12 @@ from PIL import Image
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
 class TextToImageResponse(BaseModel):
-    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
+    images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
     parameters: Json
     info: Json
 
 class ImageToImageResponse(BaseModel):
-    images: list[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
+    images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
     parameters: Json
     info: Json
 
@@ -41,6 +42,9 @@ class Api:
         # convert base64 to PIL image
         return Image.open(io.BytesIO(imgdata))
 
+    def __processed_info_to_json(self, processed):
+        return json.dumps(processed.info)
+
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
         
@@ -65,7 +69,7 @@ class Api:
             i.save(buffer, format="png")
             b64images.append(base64.b64encode(buffer.getvalue()))
 
-        return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=json.dumps(processed.info))
+        return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=processed.js())
         
         
 
@@ -111,7 +115,12 @@ class Api:
             i.save(buffer, format="png")
             b64images.append(base64.b64encode(buffer.getvalue()))
 
-        return ImageToImageResponse(images=b64images, parameters=json.dumps(vars(img2imgreq)), info=json.dumps(processed.info))
+        if (not img2imgreq.include_init_images):
+            # remove img2imgreq.init_images and img2imgreq.mask
+            img2imgreq.init_images = None
+            img2imgreq.mask = None
+
+        return ImageToImageResponse(images=b64images, parameters=json.dumps(vars(img2imgreq)), info=processed.js())
 
     def extrasapi(self):
         raise NotImplementedError
diff --git a/modules/api/models.py b/modules/api/models.py
index f551fa35..c6d43606 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -31,6 +31,7 @@ class ModelDef(BaseModel):
     field_alias: str
     field_type: Any
     field_value: Any
+    field_exclude: bool = False
 
 
 class PydanticModelGenerator:
@@ -68,7 +69,7 @@ class PydanticModelGenerator:
                 field=underscore(k),
                 field_alias=k,
                 field_type=field_type_generator(k, v),
-                field_value=v.default
+                field_value=v.default,
             )
             for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
         ]
@@ -78,7 +79,8 @@ class PydanticModelGenerator:
                 field=underscore(fields["key"]), 
                 field_alias=fields["key"], 
                 field_type=fields["type"],
-                field_value=fields["default"]))
+                field_value=fields["default"],
+                field_exclude=fields["exclude"] if "exclude" in fields else False))
 
     def generate_model(self):
         """
@@ -86,7 +88,7 @@ class PydanticModelGenerator:
         from the json and overrides provided at initialization
         """
         fields = {
-            d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias)) for d in self._model_def
+            d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias, exclude=d.field_exclude)) for d in self._model_def
         }
         DynamicModel = create_model(self._model_name, **fields)
         DynamicModel.__config__.allow_population_by_field_name = True
@@ -102,5 +104,5 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
 StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
     "StableDiffusionProcessingImg2Img", 
     StableDiffusionProcessingImg2Img,
-    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
+    [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude" : True}]
 ).generate_model()
\ No newline at end of file

From b46c64c6e5b40d69521e4d50e2d35f6a35468129 Mon Sep 17 00:00:00 2001
From: Stephen <farrenzo47@gmail.com>
Date: Mon, 24 Oct 2022 12:18:54 -0400
Subject: [PATCH 167/321] clean

---
 modules/api/api.py    | 4 ----
 modules/api/models.py | 2 +-
 2 files changed, 1 insertion(+), 5 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index ba890243..6e9d6097 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -42,9 +42,6 @@ class Api:
         # convert base64 to PIL image
         return Image.open(io.BytesIO(imgdata))
 
-    def __processed_info_to_json(self, processed):
-        return json.dumps(processed.info)
-
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
         
@@ -116,7 +113,6 @@ class Api:
             b64images.append(base64.b64encode(buffer.getvalue()))
 
         if (not img2imgreq.include_init_images):
-            # remove img2imgreq.init_images and img2imgreq.mask
             img2imgreq.init_images = None
             img2imgreq.mask = None
 
diff --git a/modules/api/models.py b/modules/api/models.py
index c6d43606..079e33d9 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -69,7 +69,7 @@ class PydanticModelGenerator:
                 field=underscore(k),
                 field_alias=k,
                 field_type=field_type_generator(k, v),
-                field_value=v.default,
+                field_value=v.default
             )
             for (k,v) in self._class_data.items() if k not in API_NOT_ALLOWED
         ]

From e86e2f7181e3e4acdcd21fa949677067a4040ba0 Mon Sep 17 00:00:00 2001
From: tumbly <tumbly@example.com>
Date: Tue, 25 Oct 2022 16:58:53 +0200
Subject: [PATCH 168/321] Add French localization

---
 localizations/fr-FR.json | 415 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 415 insertions(+)
 create mode 100644 localizations/fr-FR.json

diff --git a/localizations/fr-FR.json b/localizations/fr-FR.json
new file mode 100644
index 00000000..81c65d5e
--- /dev/null
+++ b/localizations/fr-FR.json
@@ -0,0 +1,415 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Chargement...",
+    "view": "查看",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "Construit avec Gradio",
+    "Stable Diffusion checkpoint": "checkpoint Stable Diffusion",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extras",
+    "PNG Info": "Infos PNG",
+    "History": "Historique",
+    "Checkpoint Merger": "Fusion de checkpoints",
+    "Train": "Entrainer",
+    "Settings": "Paramètres",
+    "Prompt": "Prompt",
+    "Negative prompt": "Prompt négatif",
+    "Run": "Lancer",
+    "Skip": "Passer",
+    "Interrupt": "Interrrompre",
+    "Generate": "Générer",
+    "Style 1": "Style 1",
+    "Style 2": "Style 2",
+    "Label": "Etiquette",
+    "File": "Fichier",
+    "Drop File Here": "Déposer votre fichier ici",
+    "-": "-",
+    "or": "ou",
+    "Click to Upload": "Cliquer pour uploader",
+    "Image": "Image",
+    "Check progress": "Voir l'avancement",
+    "Check progress (first)": "Voir l'avancement (1er)",
+    "Sampling Steps": "Etapes d'échantillonnage",
+    "Sampling method": "Méthode d'échantillonnage",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Largeur",
+    "Height": "Hauteur",
+    "Restore faces": "Restaurer les visages",
+    "Tiling": "Mode Tuile",
+    "Highres. fix": "Correction haute résolution",
+    "Firstpass width": "Largeur première passe",
+    "Firstpass height": "Hauteur seconde passe",
+    "Denoising strength": "Puissance de réduction du bruit",
+    "Batch count": "Nombre de lots",
+    "Batch size": "Taille de lots",
+    "CFG Scale": "Echelle CFG",
+    "Seed": "Graine",
+    "Extra": "Extra",
+    "Variation seed": "Variation de la graine",
+    "Variation strength": "Puissance de variation",
+    "Resize seed from width": "Largeur de redimensionnement de la graine",
+    "Resize seed from height": "Hauteur de redimensionnement de la graine",
+    "Script": "Script",
+    "None": "Aucun",
+    "Prompt matrix": "Matrice de prompt",
+    "Prompts from file or textbox": "Prompts depuis un fichier ou une boite de dialogue",
+    "X/Y plot": "graphe X/Y",
+    "Put variable parts at start of prompt": "Mettre les mots clés variable au début du prompt",
+    "Show Textbox": "Afficher le champs texte",
+    "File with inputs": "Fichier d'entrée",
+    "Prompts": "Prompts",
+    "X type": "Axe X",
+    "Nothing": "Rien",
+    "Var. seed": "Graine variable",
+    "Var. strength": "Puissance variable",
+    "Steps": "Etapes",
+    "Prompt S/R": "Cherche et remplace dans le prompt",
+    "Prompt order": "Ordre du prompt",
+    "Sampler": "Echantilloneur",
+    "Checkpoint name": "Nom du checkpoint",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Force de l'Hypernetwork",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min.",
+    "Sigma max": "Sigma max.",
+    "Sigma noise": "Bruit Sigma",
+    "Eta": "Temps estimé",
+    "Clip skip": "Passer Clip",
+    "Denoising": "Réduction du bruit",
+    "X values": "Valeur X",
+    "Y type": "Type Y",
+    "Y values": "Valeur Y",
+    "Draw legend": "Afficher la légende",
+    "Include Separate Images": "Inclure les images séparées",
+    "Keep -1 for seeds": "Conserver -1 pour la graine",
+    "Drop Image Here": "Déposer l'image ici",
+    "Save": "Enregistrer",
+    "Send to img2img": "Envoyer vers img2img",
+    "Send to inpaint": "Envoyer vers inpaint",
+    "Send to extras": "Envoyer vers extras",
+    "Make Zip when Save?": "Créer un zip lors de l'enregistrement?",
+    "Textbox": "Champ texte",
+    "Interrogate\nCLIP": "Interroger\nCLIP",
+    "Interrogate\nDeepBooru": "Interroger\nDeepBooru",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Lot img2img",
+    "Image for img2img": "Image pour img2img",
+    "Image for inpainting with mask": "Image pour inpainting avec masque",
+    "Mask": "Masque",
+    "Mask blur": "Flou masque",
+    "Mask mode": "Mode masque",
+    "Draw mask": "Dessiner masque",
+    "Upload mask": "Uploader masque",
+    "Masking mode": "Mode de masquage",
+    "Inpaint masked": "Inpaint masqué",
+    "Inpaint not masked": "Inpaint non masqué",
+    "Masked content": "Contenu masqué",
+    "fill": "remplir",
+    "original": "original",
+    "latent noise": "bruit latent",
+    "latent nothing": "latent vide",
+    "Inpaint at full resolution": "Inpaint en pleine résolution",
+    "Inpaint at full resolution padding, pixels": "Padding de l'inpaint en pleine résolution, en pixels",
+    "Process images in a directory on the same machine where the server is running.": "Traite les images dans un dossier sur la même machine où le serveur tourne",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Utiliser un dossier de sortie vide pour enregistrer les images normalement plutôt que d'écrire dans le dossier de sortie",
+    "Input directory": "Dossier d'entrée",
+    "Output directory": "Dossier de sortie",
+    "Resize mode": "Mode redimensionnement",
+    "Just resize": "Redimensionner uniquement",
+    "Crop and resize": "Recadrer et redimensionner",
+    "Resize and fill": "Redimensionner et remplir",
+    "img2img alternative test": "Test alternatif img2img",
+    "Loopback": "Bouclage",
+    "Outpainting mk2": "Outpainting v2",
+    "Poor man's outpainting": "Outpainting du pauvre",
+    "SD upscale": "Agrandissement SD",
+    "should be 2 or lower.": "doit être inférieur ou égal à 2",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Forcer `Méthode d'échantillonnage` à Euler ? (cette méthode est dédiée à cela)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Forcer le `prompt` au contenu du `prompt d'origine` ? (de même pour le `prompt négatif`)",
+    "Original prompt": "Prompt d'origine",
+    "Original negative prompt": "Prompt négatif d'origine",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Forcer le valeur d'`Etapes d'échantillonnage` à la même valeur qu'`Etapes de décodage` ?",
+    "Decode steps": "Etapes de décodage",
+    "Override `Denoising strength` to 1?": "Forcer `Puissance de réduction du bruit` à 1 ?",
+    "Decode CFG scale": "Echelle CFG de décodage",
+    "Randomness": "Aléatoire",
+    "Sigma adjustment for finding noise for image": "Ajustement Sigma lors de la recherche du bruit dans l'image",
+    "Loops": "Boucles",
+    "Denoising strength change factor": "Facteur de changement de la puissance de réduction du bruit",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Paramètres recommandés : Etapes d'échantillonnage : 80-100, Echantillonneur : Euler a, Puissance de réduction du bruit : 0.8",
+    "Pixels to expand": "Pixels à étendre",
+    "Outpainting direction": "Direction de l'outpainting",
+    "left": "gauche",
+    "right": "droite",
+    "up": "haut",
+    "down": "bas",
+    "Fall-off exponent (lower=higher detail)": "Exposant de diminution (plus petit = plus de détails)",
+    "Color variation": "Variation de couleur",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Agrandira l'image à deux fois sa taille; utilisez les glissières largeur et hauteur afin de choisir la taille de tuile",
+    "Tile overlap": "Chevauchement de tuile",
+    "Upscaler": "Agrandisseur",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR 4x": "SwinIR 4x",
+    "Single Image": "Image unique",
+    "Batch Process": "Traitement par lot",
+    "Batch from Directory": "Lot depuis un dossier",
+    "Source": "Source",
+    "Show result images": "Montrez les images résultantes",
+    "Scale by": "Mise à l'échelle de",
+    "Scale to": "Mise à l'échelle à",
+    "Resize": "Redimensionner",
+    "Crop to fit": "Recadrer à la taille",
+    "Upscaler 2": "Agrandisseur 2",
+    "Upscaler 2 visibility": "Visibilité de l'agrandisseur 2",
+    "GFPGAN visibility": "Visibilité GFPGAN",
+    "CodeFormer visibility": "Visibilité CodeFormer",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Poids CodeFormer (0 = effet maximum, 1 = effet minimum)",
+    "Open output directory": "Ouvrir le dossier de sortie",
+    "Send to txt2img": "Envoyer vers txt2img",
+    "txt2img history": "historique txt2img",
+    "img2img history": "historique img2img",
+    "extras history": "historique extras",
+    "Renew Page": "Rafraichr la page",
+    "First Page": "Première page",
+    "Prev Page": "Page précendente",
+    "Page Index": "Index des pages",
+    "Next Page": "Page suivante",
+    "End Page": "Page de fin",
+    "number of images to delete consecutively next": "nombre d'image à supprimer consécutivement ensuite",
+    "Delete": "Supprimer",
+    "Generate Info": "Générer les informations",
+    "File Name": "Nom de fichier",
+    "set_index": "set_index",
+    "A merger of the two checkpoints will be generated in your": "Une fusion des deux checkpoints sera générée dans votre",
+    "checkpoint": "checkpoint",
+    "directory.": "dossier",
+    "Primary model (A)": "Modèle primaire (A)",
+    "Secondary model (B)": "Modèle secondaire (B)",
+    "Tertiary model (C)": "Modèle tertiaire (C)",
+    "Custom Name (Optional)": "Nom personnalisé (Optionel)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplieur (M) - utiliser 0 pour le modèle A",
+    "Interpolation Method": "Méthode d'interpolation",
+    "Weighted sum": "Somme pondérée",
+    "Add difference": "Ajouter différence",
+    "Save as float16": "Enregistrer en tant que float16",
+    "See": "Voir",
+    "wiki": "wiki",
+    "for detailed explanation.": "pour une explication détaillée.",
+    "Create embedding": "Créer un embedding",
+    "Create hypernetwork": "Créer un hypernetwork",
+    "Preprocess images": "Pré-traite les images",
+    "Name": "Nom",
+    "Initialization text": "Texte d'initialisation",
+    "Number of vectors per token": "Nombre de vecteurs par jeton",
+    "Modules": "Modules",
+    "Source directory": "Dossier source",
+    "Destination directory": "Dossier destination",
+    "Create flipped copies": "Créer des copies en mirroir",
+    "Split oversized images into two": "Couper les images trop grandes en deux",
+    "Use BLIP for caption": "Utiliser BLIP pour les descriptions",
+    "Use deepbooru for caption": "Utiliser deepbooru pour les descriptions",
+    "Preprocess": "Pré-traite",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Entrainer un embedding ; spécifiez un dossier contenant un ensemble d'images avec un ratio de 1:1",
+    "Embedding": "Embedding",
+    "Learning rate": "Vitesse d'apprentissage",
+    "Dataset directory": "Dossier des images d'entrée",
+    "Log directory": "Dossier de journalisation",
+    "Prompt template file": "Fichier modèle de prompts",
+    "Max steps": "Etapes max.",
+    "Save an image to log directory every N steps, 0 to disable": "Enregistrer une image dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Enregistrer une copie de l'embedding dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
+    "Save images with embedding in PNG chunks": "Sauvegarder les images incluant l'embedding dans leur blocs PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Lire les paramètres (prompt, etc.) depuis l'onglet txt2img lors de la génération des previews",
+    "Train Hypernetwork": "Entrainer un Hypernetwork",
+    "Train Embedding": "Entrainer un Embedding",
+    "Apply settings": "Appliquer les paramètres",
+    "Saving images/grids": "Enregistrer les images/grilles",
+    "Always save all generated images": "Toujours enregistrer toutes les images",
+    "File format for images": "Format de fichier pour les images",
+    "Images filename pattern": "Motif pour le nom de fichier des images",
+    "Always save all generated image grids": "Toujours enregistrer toutes les grilles d'images générées",
+    "File format for grids": "Format de fichier pour les grilles",
+    "Add extended info (seed, prompt) to filename when saving grid": "Ajouter les informations étendues (graine, prompt) aux noms de fichiers lors de l'enregistrement d'une grille",
+    "Do not save grids consisting of one picture": "Ne pas enregistrer les grilles contenant une seule image",
+    "Prevent empty spots in grid (when set to autodetect)": "Eviter les vides dans la grille (quand autodétection est choisie)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Nombre de colonnes de la grille; utilisez -1 pour autodétection et 0 pour qu'il soit égal à la taille du lot",
+    "Save text information about generation parameters as chunks to png files": "Enregistrer l'information du text des paramètres de génération en tant que blocs dans les fichiers PNG",
+    "Create a text file next to every image with generation parameters.": "Créer un fichier texte contenant les paramètres de génération à côté de chaque image",
+    "Save a copy of image before doing face restoration.": "Enregistrer une copie de l'image avant de lancer la restauration de visage",
+    "Quality for saved jpeg images": "Qualité pour les images jpeg enregistrées",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Si l'image PNG est plus grande que 4MB or l'une des ses dimensions supérieure à 4000, réduire sa taille et enregistrer une copie en JPG",
+    "Use original name for output filename during batch process in extras tab": "Utiliser un nom de fichier original pour les fichiers de sortie durant le traitement par lot dans l'onglet Extras",
+    "When using 'Save' button, only save a single selected image": "A l'utilisation du bouton `Enregistrer`, n'enregistrer que l'image séléctionnée",
+    "Do not add watermark to images": "Ne pas ajouter de filigrane aux images",
+    "Paths for saving": "Chemins pour l'enregistrement",
+    "Output directory for images; if empty, defaults to three directories below": "Dossier de sortie pour les images; si non spécifié, le chemin par défaut sera trois niveau en dessous",
+    "Output directory for txt2img images": "Dossier de sortie pour les images txt2img",
+    "Output directory for img2img images": "Dossier de sortie pour les images img2img",
+    "Output directory for images from extras tab": "Dossier de sortie pour les images de l'onglet Extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Dossier de sortie pour les grilles; si non spécifié, le chemin par défaut sera deux niveau en dessous",
+    "Output directory for txt2img grids": "Dossier de sortie pour les grilles txt2img",
+    "Output directory for img2img grids": "Dossier de sortie pour les grilles img2img",
+    "Directory for saving images using the Save button": "Dossier de sauvegarde des images pour le bouton `Enregistrer`",
+    "Saving to a directory": "Enregistrer dans un dossier",
+    "Save images to a subdirectory": "Enregistrer les images dans un sous dossier",
+    "Save grids to a subdirectory": "Enregistrer les grilles dans un sous dossier",
+    "When using \"Save\" button, save images to a subdirectory": "Lors de l'utilisation du bouton \"Enregistrer\", sauvegarder les images dans un sous dossier",
+    "Directory name pattern": "Motif pour le nom des dossiers",
+    "Max prompt words for [prompt_words] pattern": "Maximum de mot pour le motif [prompt_words]",
+    "Upscaling": "Agrandissement",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Taille des tuile for les agrandisseurs ESRGAN. 0 = mode tuile désactivé.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Chevauchement des tuiles, en pixel pour l'agrandisseur ESRGAN. Valeur faible = couture visible",
+    "Tile size for all SwinIR.": "Taille de la tuile pour tous les agrandisseur SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Chevauchement de tuile, en pixels pour SwinIR. Valeur faible = couture visible",
+    "LDSR processing steps. Lower = faster": "Echantillon du traitement LDSR. Valeur faible =  plus rapide",
+    "Upscaler for img2img": "Agrandisseur pour img2img",
+    "Upscale latent space image when doing hires. fix": "Agrandir l'image de l'espace latent lors de la correction haute résolution",
+    "Face restoration": "Restauration de visage",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Paramètre de poids pour CodeFormer; 0 = effet maximum ； 1 = effet minimum",
+    "Move face restoration model from VRAM into RAM after processing": "Déplacer le modèle de restauration de visage de la VRAM vers la RAM après traitement",
+    "System": "Système",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Fréquence d'interrogation par seconde pendant la génération. Mettez la valeur à 0 pour désactiver.",
+    "Always print all generation info to standard output": "Toujours afficher toutes les informations de génération dans la sortie standard",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Ajouter un seconde barre de progression dans la console montrant l'avancement pour un tâche complète.",
+    "Training": "Entrainement",
+    "Unload VAE and CLIP from VRAM when training": "Décharger VAE et CLIP de la VRAM pendant l'entrainement",
+    "Filename word regex": "Regex de mot",
+    "Filename join string": "Chaine de caractère pour lier les noms de fichier",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Nombre de répétition pour une image unique par époque; utilisé seulement pour afficher le nombre d'époques",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Enregistrer un csv contenant la perte dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Checkpoint à mettre en cache dans la RAM",
+    "Hypernetwork strength": "Force de l'Hypernetwork",
+    "Apply color correction to img2img results to match original colors.": "Appliquer une correction de couleur aux résultats img2img afin de conserver les couleurs d'origine",
+    "Save a copy of image before applying color correction to img2img results": "Enregistrer une copie de l'image avant d'appliquer les résultats de la correction de couleur img2img",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Avec img2img, executer exactement le nombre d'étapes spécifiées par la glissière (normalement moins d'étapes sont executées quand la réduction du bruit est plus faible).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Activer la quantisation des échantillionneurs K pour des résultats plus nets et plus propres. Cela peut modifier les graines existantes. Requiert un redémarrage pour être actif.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphase : utilisez (texte) afin de forcer le modèle à porter plus d'attention au texte et [texte] afin qu'il y porte moins attention",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Utilisez l'ancienne méthode d'emphase. Peut être utile afin de reproduire d'anciennes graines.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Demander aux échantillionneurs K-diffusion de produire les mêmes dans un lot que lors de la génération d'une image unique",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Améliorer la cohérence en remplissant (padding) à partir de la dernière virgule dans les X jetons quand on en utilise plus de 75",
+    "Filter NSFW content": "Filtrer le contenu +18 (NSFW)",
+    "Stop At last layers of CLIP model": "S'arrêter aux derniers niveaux du modèle CLIP",
+    "Interrogate Options": "Options d'intérrogation",
+    "Interrogate: keep models in VRAM": "Interroger : conserver les modèles en VRAM",
+    "Interrogate: use artists from artists.csv": "Interroger : utiliser les artistes dans artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interroger : inclure la correspondance du classement des labels de modèle dans les résultats (N'a pas d'effet sur les interrogateurs basés sur des descriptions) ",
+    "Interrogate: num_beams for BLIP": "Interroger : num_beams pour BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interroger : longueur minimale de la description (excluant les artistes, etc.)",
+    "Interrogate: maximum description length": "Interroger : longueur maximale de la description",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP : nombre maximum de lignes dans le fichier texte (0 = pas de limite)",
+    "Interrogate: deepbooru score threshold": "Interroger : seuil du score deepbooru",
+    "Interrogate: deepbooru sort alphabetically": "Interroger : classement alphabétique deepbooru",
+    "use spaces for tags in deepbooru": "Utiliser des espaces pour les étiquettes dans deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "échapper (\\) les crochets dans deepbooru (afin qu'ils puissent être utilisés littéralement et non pour mettre en emphase)",
+    "User interface": "Interface utilisateur",
+    "Show progressbar": "Afficher la barre de progression",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Afficher l'état d'avancement de la création d'image toutes les X étapes d'échantillionnage. Utiliser 0 pour désactiver.",
+    "Show grid in results for web": "Afficher la grille dans les résultats web",
+    "Do not show any images in results for web": "N'afficher aucune image dans les résultats web'",
+    "Add model hash to generation information": "Ajouter le hash du modèle dans l'information de génération",
+    "Add model name to generation information": "Ajouter le nom du modèle dans l'information de génération",
+    "Font for image grids that have text": "Police pour les grilles d'images contenant du texte",
+    "Enable full page image viewer": "Activer l'affichage des images en plein écran",
+    "Show images zoomed in by default in full page image viewer": "Afficher les images zoomées par défaut lors de l'affichage en plein écran",
+    "Show generation progress in window title.": "Afficher l'avancement de la génération dans le titre de la fenêtre.",
+    "Quicksettings list": "Liste de réglages rapides",
+    "Localization (requires restart)": "Localisation (requiert un redémarrage)",
+    "Sampler parameters": "Paramètres de l'échantillionneur",
+    "Hide samplers in user interface (requires restart)": "Cacher les échantillonneurs dans l'interface utilisateur (requiert un redémarrage)",
+    "eta (noise multiplier) for DDIM": "eta (multiplicateur de bruit) pour DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (multiplicateur de bruit) poru les échantillionneurs de type 'ancestral'",
+    "img2img DDIM discretize": "Discrétisation DDIM pour img2img",
+    "uniform": "uniforme",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Demander les notifications au navigateur",
+    "Download localization template": "Télécharger le modèle de localisation",
+    "Reload custom script bodies (No ui updates, No restart)": "Recharger le contenu des scripts personnalisés (Pas de mise à jour de l'interface, Pas de redémarrage)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Redémarrer Gradio et rafraichir les composants (Scripts personnalisés, ui.py, js et css uniquement)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (Ctrl + Entrée ou Alt + Entrée pour générer)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt négatif (Ctrl + Entrée ou Alt + Entrée pour générer)",
+    "Add a random artist to the prompt.": "Ajouter un artiste aléatoire au prompt",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Lire les paramètres de génération depuis le prompt, ou depuis la dernière génération si le prompt est vide dans l'interface utilisateur.",
+    "Save style": "Sauvegarder le style",
+    "Apply selected styles to current prompt": "Appliquer les styles séléctionnés au prompt actuel",
+    "Stop processing current image and continue processing.": "Arrêter le traitement de l'image actuelle et continuer le traitement.",
+    "Stop processing images and return any results accumulated so far.": "Arrêter le traitement des images et retourne les résultats accumulés depuis le début.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style à appliquer ; les styles sont composés de prompts positifs et négatifs et s'appliquent au deux",
+    "Do not do anything special": "Ne rien faire de particulier",
+    "Which algorithm to use to produce the image": "Quel algorithme utiliser pour produire l'image",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - très créatif, peut générer des images complètement différentes en fonction du nombre d'étapes, utiliser plus de 30 à 40 étapes n'améliore pas le résultat",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Modèles implicite de réduction du bruit à diffusion - utile pour l'inpainting",
+    "Produce an image that can be tiled.": "Produit une image qui peut être bouclée (tuile).",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Utilise un processus en deux étapes afin de créer partiellement une image dans une résolution plus faible, l'agrandir et améliorer ses détails sans modifier la composition",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Détermine à quel point l'algorithme doit respecter le contenu de l'image. A 0 rien ne changera, à 1 l'image sera entièrement différente. Avec des valeurs inférieures à 1.0 le traitement utilisera moins d'étapes que ce que la glissière Etapes d'échantillionnage spécifie. ",
+    "How many batches of images to create": "Combien de lots d'images créer",
+    "How many image to create in a single batch": "Combien d'images créer par lot",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - spécifie à quel point l'image doit se conformer au prompt - des valeurs plus faibles produisent des résultats plus créatifs",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Une valeur qui détermine la sortie du générateur de nombres aléatoires - si vous créez une image avec les mêmes paramètres et graine qu'une autre, le résultat sera identique",
+    "Set seed to -1, which will cause a new random number to be used every time": "Passer la graine à -1, cela causera qu'un nombre aléatoire différent sera utilisé à chaque fois",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Réutiliser la graine de la dernière génération, généralement utile uniquement si elle était randomisée",
+    "Seed of a different picture to be mixed into the generation.": "Graine d'une image différente à mélanger dans la génération",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Force de la variation à produire. A 0 il n'y aura pas d'effet. A 1 l'image sera composée uniquement de la graine variable spécifiée (à l'exception des échantillionneurs `ancestral`)",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Essayer de produire une image similaire à ce qu'elle aurait été avec la même graine, mais dans la résolution spécifiée",
+    "Separate values for X axis using commas.": "Séparer les valeurs pour l'axe X par des virgules",
+    "Separate values for Y axis using commas.": "Séparer les valeurs pour l'axe Y par des virgules",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Ecrire l'image dans un dossier (par défaut - log/images) et les paramètres de génération dans un fichier csv.",
+    "Open images output directory": "Ouvrir le dossier de sortie des images",
+    "How much to blur the mask before processing, in pixels.": "Quantité de flou à appliquer au masque avant traitement, en pixels",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Avec quoi remplir la zone masquée avant traitement par Stable Diffusion.",
+    "fill it with colors of the image": "remplir avec les couleurs de l'image",
+    "keep whatever was there originally": "conserver ce qui était présent à l'origine",
+    "fill it with latent space noise": "remplir avec le bruit de l'espace latent",
+    "fill it with latent space zeroes": "remplir avec des zéros dans l'espace latent",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Agrandir la région masquées à la résolution cible, exécuter l'inpainting, réduire à nouveau puis coller dans l'image originale",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Redimensionner l'image dans la résolution cible. A moins que la hauteur et la largeur coincident le ratio de l'image sera incorrect.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Redimensionner l'image afin que l'entièreté de la résolution cible soit remplie par l'image. Recadrer les parties qui dépassent.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Redimensionner l'image afin que l'entièreté de l'image soit contenue dans la résolution cible. Remplir l'espace vide avec les couleurs de l'image.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Combien de fois répéter le traitement d'une image et l'utiliser comme entrée pour la prochaine itération",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "En mode bouclage (Loopback), à chaque tour de la boucle la force du réducteur de bruit est multipliée par cette valeur. <1 signifie réduire la variation donc votre séquence convergera vers une image fixe. >1 signifie augmenter la variation donc votre séquence deviendra de plus en plus chaotique. ",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Pour l'agrandissement SD, de combien les tuiles doivent se chevaucher, en pixels. Les tuiles se chevauchent de manière à ce qu'il n'y ait pas de couture visible une fois fusionnées en une image. ",
+    "A directory on the same machine where the server is running.": "Un dossier sur la même machine où le serveur tourne.",
+    "Leave blank to save images to the default path.": "Laisser vide pour sauvegarder les images dans le chemin par défaut.",
+    "Result = A * (1 - M) + B * M": "Résultat = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Résultat = A + (B - C) * M",
+    "Path to directory with input images": "Chemin vers le dossier contenant les images d'entrée",
+    "Path to directory where to write outputs": "Chemin vers le dossier où écrire les sorties",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Utiliser les étiquettes suivantes pour définir le nom des images : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ; laisser vide pour le nom par défaut.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Si cette option est activée le filigrane ne sera pas ajouté au images crées. Attention : si vous n'ajoutez pas de filigrane vous pourriez vous comporter de manière non éthique.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Utiliser les étiquettes suivantes pour définir le nom des sous dossiers pour les images et les grilles  : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp] ; laisser vide pour le nom par défaut.",
+    "Restore low quality faces using GFPGAN neural network": "Restaurer les visages de basse qualité en utilisant le réseau neuronal GFPGAN",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Cette expression régulière sera utilisée pour extraire les mots depuis le nom de fichier ; ils seront joints en utilisant l'option ci dessous en une étiquette utilisée pour l'entrainement. Laisser vide pour conserver le texte du nom de fichier tel quel.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Cette chaine de caractères sera utilisée pour joindre les mots séparés en une ligne unique si l'option ci dessus est activée.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Liste des noms de paramètres, séparés par des virgules, pour les paramètres de la barre d'accès rapide en haut de page, plutôt que dans la page habituelle des paramètres. Voir modules/shared.py pour définir les noms. Requiert un redémarrage pour s'appliquer.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Si cette valeur est différente de zéro elle sera ajoutée à la graine et utilisée pour initialiser le générateur de nombres aléatoires du bruit lors de l'utilisation des échantillonneurs supportants Eta. Vous pouvez l'utiliser pour produire encore plus de variation dans les images, ou vous pouvez utiliser ceci pour faire correspondre les images avec d'autres logiciels si vous savez ce que vous faites.",
+    "Enable Autocomplete": "Activer l'autocomplétion",
+    "/0.0": "/0.0"
+}
\ No newline at end of file

From 1ecfa5977ebdd59a09d52636894ab76451c9d17e Mon Sep 17 00:00:00 2001
From: tumbly <tumbly@example.com>
Date: Tue, 25 Oct 2022 21:55:58 +0200
Subject: [PATCH 169/321] Fix typos and proper wording per salco's comments

---
 localizations/fr-FR.json | 88 ++++++++++++++++++++--------------------
 1 file changed, 44 insertions(+), 44 deletions(-)

diff --git a/localizations/fr-FR.json b/localizations/fr-FR.json
index 81c65d5e..5c1e97c7 100644
--- a/localizations/fr-FR.json
+++ b/localizations/fr-FR.json
@@ -5,7 +5,7 @@
     "❮": "❮",
     "❯": "❯",
     "Loading...": "Chargement...",
-    "view": "查看",
+    "view": "vue",
     "api": "api",
     "•": "•",
     "built with gradio": "Construit avec Gradio",
@@ -18,8 +18,8 @@
     "Checkpoint Merger": "Fusion de checkpoints",
     "Train": "Entrainer",
     "Settings": "Paramètres",
-    "Prompt": "Prompt",
-    "Negative prompt": "Prompt négatif",
+    "Prompt": "Requête",
+    "Negative prompt": "Requête négative",
     "Run": "Lancer",
     "Skip": "Passer",
     "Interrupt": "Interrrompre",
@@ -35,7 +35,7 @@
     "Image": "Image",
     "Check progress": "Voir l'avancement",
     "Check progress (first)": "Voir l'avancement (1er)",
-    "Sampling Steps": "Etapes d'échantillonnage",
+    "Sampling Steps": "Étapes d'échantillonnage",
     "Sampling method": "Méthode d'échantillonnage",
     "Euler a": "Euler a",
     "Euler": "Euler",
@@ -61,28 +61,28 @@
     "Batch count": "Nombre de lots",
     "Batch size": "Taille de lots",
     "CFG Scale": "Echelle CFG",
-    "Seed": "Graine",
+    "Seed": "Valeur aléatoire",
     "Extra": "Extra",
-    "Variation seed": "Variation de la graine",
+    "Variation seed": "Variation de la valeur aléatoire",
     "Variation strength": "Puissance de variation",
-    "Resize seed from width": "Largeur de redimensionnement de la graine",
-    "Resize seed from height": "Hauteur de redimensionnement de la graine",
+    "Resize seed from width": "Largeur de redimensionnement de la valeur aléatoire",
+    "Resize seed from height": "Hauteur de redimensionnement de la valeur aléatoire",
     "Script": "Script",
     "None": "Aucun",
-    "Prompt matrix": "Matrice de prompt",
-    "Prompts from file or textbox": "Prompts depuis un fichier ou une boite de dialogue",
+    "Prompt matrix": "Matrice de requête",
+    "Prompts from file or textbox": "Requêtes depuis un fichier ou une boite de dialogue",
     "X/Y plot": "graphe X/Y",
-    "Put variable parts at start of prompt": "Mettre les mots clés variable au début du prompt",
+    "Put variable parts at start of prompt": "Mettre les mots clés variable au début de la requête",
     "Show Textbox": "Afficher le champs texte",
     "File with inputs": "Fichier d'entrée",
-    "Prompts": "Prompts",
+    "Prompts": "Requêtes",
     "X type": "Axe X",
     "Nothing": "Rien",
-    "Var. seed": "Graine variable",
+    "Var. seed": "Valeur aléatoire variable",
     "Var. strength": "Puissance variable",
-    "Steps": "Etapes",
-    "Prompt S/R": "Cherche et remplace dans le prompt",
-    "Prompt order": "Ordre du prompt",
+    "Steps": "Étapes",
+    "Prompt S/R": "Cherche et remplace dans la requête",
+    "Prompt order": "Ordre de la requête",
     "Sampler": "Echantilloneur",
     "Checkpoint name": "Nom du checkpoint",
     "Hypernetwork": "Hypernetwork",
@@ -99,7 +99,7 @@
     "Y values": "Valeur Y",
     "Draw legend": "Afficher la légende",
     "Include Separate Images": "Inclure les images séparées",
-    "Keep -1 for seeds": "Conserver -1 pour la graine",
+    "Keep -1 for seeds": "Conserver -1 pour la valeur aléatoire",
     "Drop Image Here": "Déposer l'image ici",
     "Save": "Enregistrer",
     "Send to img2img": "Envoyer vers img2img",
@@ -143,18 +143,18 @@
     "SD upscale": "Agrandissement SD",
     "should be 2 or lower.": "doit être inférieur ou égal à 2",
     "Override `Sampling method` to Euler?(this method is built for it)": "Forcer `Méthode d'échantillonnage` à Euler ? (cette méthode est dédiée à cela)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Forcer le `prompt` au contenu du `prompt d'origine` ? (de même pour le `prompt négatif`)",
-    "Original prompt": "Prompt d'origine",
-    "Original negative prompt": "Prompt négatif d'origine",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Forcer le valeur d'`Etapes d'échantillonnage` à la même valeur qu'`Etapes de décodage` ?",
-    "Decode steps": "Etapes de décodage",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Forcer la `requête` au contenu de la `requête d'origine` ? (de même pour la `requête négative`)",
+    "Original prompt": "Requête d'origine",
+    "Original negative prompt": "Requête négative d'origine",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Forcer le valeur d'`Étapes d'échantillonnage` à la même valeur qu'`Étapes de décodage` ?",
+    "Decode steps": "Étapes de décodage",
     "Override `Denoising strength` to 1?": "Forcer `Puissance de réduction du bruit` à 1 ?",
     "Decode CFG scale": "Echelle CFG de décodage",
     "Randomness": "Aléatoire",
     "Sigma adjustment for finding noise for image": "Ajustement Sigma lors de la recherche du bruit dans l'image",
     "Loops": "Boucles",
     "Denoising strength change factor": "Facteur de changement de la puissance de réduction du bruit",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Paramètres recommandés : Etapes d'échantillonnage : 80-100, Echantillonneur : Euler a, Puissance de réduction du bruit : 0.8",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Paramètres recommandés : Étapes d'échantillonnage : 80-100, Echantillonneur : Euler a, Puissance de réduction du bruit : 0.8",
     "Pixels to expand": "Pixels à étendre",
     "Outpainting direction": "Direction de l'outpainting",
     "left": "gauche",
@@ -238,12 +238,12 @@
     "Learning rate": "Vitesse d'apprentissage",
     "Dataset directory": "Dossier des images d'entrée",
     "Log directory": "Dossier de journalisation",
-    "Prompt template file": "Fichier modèle de prompts",
-    "Max steps": "Etapes max.",
+    "Prompt template file": "Fichier modèle de requêtes",
+    "Max steps": "Étapes max.",
     "Save an image to log directory every N steps, 0 to disable": "Enregistrer une image dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
     "Save a copy of embedding to log directory every N steps, 0 to disable": "Enregistrer une copie de l'embedding dans le dossier de journalisation toutes les N étapes, 0 pour désactiver",
     "Save images with embedding in PNG chunks": "Sauvegarder les images incluant l'embedding dans leur blocs PNG",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Lire les paramètres (prompt, etc.) depuis l'onglet txt2img lors de la génération des previews",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Lire les paramètres (requête, etc.) depuis l'onglet txt2img lors de la génération des previews",
     "Train Hypernetwork": "Entrainer un Hypernetwork",
     "Train Embedding": "Entrainer un Embedding",
     "Apply settings": "Appliquer les paramètres",
@@ -253,7 +253,7 @@
     "Images filename pattern": "Motif pour le nom de fichier des images",
     "Always save all generated image grids": "Toujours enregistrer toutes les grilles d'images générées",
     "File format for grids": "Format de fichier pour les grilles",
-    "Add extended info (seed, prompt) to filename when saving grid": "Ajouter les informations étendues (graine, prompt) aux noms de fichiers lors de l'enregistrement d'une grille",
+    "Add extended info (seed, prompt) to filename when saving grid": "Ajouter les informations étendues (valeur aléatoire, requête) aux noms de fichiers lors de l'enregistrement d'une grille",
     "Do not save grids consisting of one picture": "Ne pas enregistrer les grilles contenant une seule image",
     "Prevent empty spots in grid (when set to autodetect)": "Eviter les vides dans la grille (quand autodétection est choisie)",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Nombre de colonnes de la grille; utilisez -1 pour autodétection et 0 pour qu'il soit égal à la taille du lot",
@@ -307,9 +307,9 @@
     "Apply color correction to img2img results to match original colors.": "Appliquer une correction de couleur aux résultats img2img afin de conserver les couleurs d'origine",
     "Save a copy of image before applying color correction to img2img results": "Enregistrer une copie de l'image avant d'appliquer les résultats de la correction de couleur img2img",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Avec img2img, executer exactement le nombre d'étapes spécifiées par la glissière (normalement moins d'étapes sont executées quand la réduction du bruit est plus faible).",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Activer la quantisation des échantillionneurs K pour des résultats plus nets et plus propres. Cela peut modifier les graines existantes. Requiert un redémarrage pour être actif.",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Activer la quantisation des échantillionneurs K pour des résultats plus nets et plus propres. Cela peut modifier les valeurs aléatoires existantes. Requiert un redémarrage pour être actif.",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphase : utilisez (texte) afin de forcer le modèle à porter plus d'attention au texte et [texte] afin qu'il y porte moins attention",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Utilisez l'ancienne méthode d'emphase. Peut être utile afin de reproduire d'anciennes graines.",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Utilisez l'ancienne méthode d'emphase. Peut être utile afin de reproduire d'anciennes valeurs aléatoires.",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "Demander aux échantillionneurs K-diffusion de produire les mêmes dans un lot que lors de la génération d'une image unique",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Améliorer la cohérence en remplissant (padding) à partir de la dernière virgule dans les X jetons quand on en utilise plus de 75",
     "Filter NSFW content": "Filtrer le contenu +18 (NSFW)",
@@ -354,31 +354,31 @@
     "Download localization template": "Télécharger le modèle de localisation",
     "Reload custom script bodies (No ui updates, No restart)": "Recharger le contenu des scripts personnalisés (Pas de mise à jour de l'interface, Pas de redémarrage)",
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Redémarrer Gradio et rafraichir les composants (Scripts personnalisés, ui.py, js et css uniquement)",
-    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (Ctrl + Entrée ou Alt + Entrée pour générer)",
-    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt négatif (Ctrl + Entrée ou Alt + Entrée pour générer)",
-    "Add a random artist to the prompt.": "Ajouter un artiste aléatoire au prompt",
-    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Lire les paramètres de génération depuis le prompt, ou depuis la dernière génération si le prompt est vide dans l'interface utilisateur.",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Requête (Ctrl + Entrée ou Alt + Entrée pour générer)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Requête négative (Ctrl + Entrée ou Alt + Entrée pour générer)",
+    "Add a random artist to the prompt.": "Ajouter un artiste aléatoire à la requête",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Lire les paramètres de génération depuis la requête, ou depuis la dernière génération si la requête est vide dans l'interface utilisateur.",
     "Save style": "Sauvegarder le style",
-    "Apply selected styles to current prompt": "Appliquer les styles séléctionnés au prompt actuel",
+    "Apply selected styles to current prompt": "Appliquer les styles séléctionnés à la requête actuelle",
     "Stop processing current image and continue processing.": "Arrêter le traitement de l'image actuelle et continuer le traitement.",
     "Stop processing images and return any results accumulated so far.": "Arrêter le traitement des images et retourne les résultats accumulés depuis le début.",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style à appliquer ; les styles sont composés de prompts positifs et négatifs et s'appliquent au deux",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style à appliquer ; les styles sont composés de requêtes positives et négatives et s'appliquent au deux",
     "Do not do anything special": "Ne rien faire de particulier",
     "Which algorithm to use to produce the image": "Quel algorithme utiliser pour produire l'image",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - très créatif, peut générer des images complètement différentes en fonction du nombre d'étapes, utiliser plus de 30 à 40 étapes n'améliore pas le résultat",
     "Denoising Diffusion Implicit Models - best at inpainting": "Modèles implicite de réduction du bruit à diffusion - utile pour l'inpainting",
     "Produce an image that can be tiled.": "Produit une image qui peut être bouclée (tuile).",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Utilise un processus en deux étapes afin de créer partiellement une image dans une résolution plus faible, l'agrandir et améliorer ses détails sans modifier la composition",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Détermine à quel point l'algorithme doit respecter le contenu de l'image. A 0 rien ne changera, à 1 l'image sera entièrement différente. Avec des valeurs inférieures à 1.0 le traitement utilisera moins d'étapes que ce que la glissière Etapes d'échantillionnage spécifie. ",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Détermine à quel point l'algorithme doit respecter le contenu de l'image. A 0 rien ne changera, à 1 l'image sera entièrement différente. Avec des valeurs inférieures à 1.0 le traitement utilisera moins d'étapes que ce que la glissière Étapes d'échantillionnage spécifie. ",
     "How many batches of images to create": "Combien de lots d'images créer",
     "How many image to create in a single batch": "Combien d'images créer par lot",
-    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - spécifie à quel point l'image doit se conformer au prompt - des valeurs plus faibles produisent des résultats plus créatifs",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Une valeur qui détermine la sortie du générateur de nombres aléatoires - si vous créez une image avec les mêmes paramètres et graine qu'une autre, le résultat sera identique",
-    "Set seed to -1, which will cause a new random number to be used every time": "Passer la graine à -1, cela causera qu'un nombre aléatoire différent sera utilisé à chaque fois",
-    "Reuse seed from last generation, mostly useful if it was randomed": "Réutiliser la graine de la dernière génération, généralement utile uniquement si elle était randomisée",
-    "Seed of a different picture to be mixed into the generation.": "Graine d'une image différente à mélanger dans la génération",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Force de la variation à produire. A 0 il n'y aura pas d'effet. A 1 l'image sera composée uniquement de la graine variable spécifiée (à l'exception des échantillionneurs `ancestral`)",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Essayer de produire une image similaire à ce qu'elle aurait été avec la même graine, mais dans la résolution spécifiée",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - spécifie à quel point l'image doit se conformer à la requête - des valeurs plus faibles produisent des résultats plus créatifs",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Une valeur qui détermine la sortie du générateur de nombres aléatoires - si vous créez une image avec les mêmes paramètres et valeur aléatoire qu'une autre, le résultat sera identique",
+    "Set seed to -1, which will cause a new random number to be used every time": "Passer la valeur aléatoire à -1, cela causera qu'un nombre aléatoire différent sera utilisé à chaque fois",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Réutiliser la valeur aléatoire de la dernière génération, généralement utile uniquement si elle était randomisée",
+    "Seed of a different picture to be mixed into the generation.": "Valeur aléatoire d'une image différente à mélanger dans la génération",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Force de la variation à produire. A 0 il n'y aura pas d'effet. A 1 l'image sera composée uniquement de la valeur aléatoire variable spécifiée (à l'exception des échantillionneurs `ancestral`)",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Essayer de produire une image similaire à ce qu'elle aurait été avec la même valeur aléatoire, mais dans la résolution spécifiée",
     "Separate values for X axis using commas.": "Séparer les valeurs pour l'axe X par des virgules",
     "Separate values for Y axis using commas.": "Séparer les valeurs pour l'axe Y par des virgules",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "Ecrire l'image dans un dossier (par défaut - log/images) et les paramètres de génération dans un fichier csv.",
@@ -409,7 +409,7 @@
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Cette expression régulière sera utilisée pour extraire les mots depuis le nom de fichier ; ils seront joints en utilisant l'option ci dessous en une étiquette utilisée pour l'entrainement. Laisser vide pour conserver le texte du nom de fichier tel quel.",
     "This string will be used to join split words into a single line if the option above is enabled.": "Cette chaine de caractères sera utilisée pour joindre les mots séparés en une ligne unique si l'option ci dessus est activée.",
     "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Liste des noms de paramètres, séparés par des virgules, pour les paramètres de la barre d'accès rapide en haut de page, plutôt que dans la page habituelle des paramètres. Voir modules/shared.py pour définir les noms. Requiert un redémarrage pour s'appliquer.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Si cette valeur est différente de zéro elle sera ajoutée à la graine et utilisée pour initialiser le générateur de nombres aléatoires du bruit lors de l'utilisation des échantillonneurs supportants Eta. Vous pouvez l'utiliser pour produire encore plus de variation dans les images, ou vous pouvez utiliser ceci pour faire correspondre les images avec d'autres logiciels si vous savez ce que vous faites.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Si cette valeur est différente de zéro elle sera ajoutée à la valeur aléatoire et utilisée pour initialiser le générateur de nombres aléatoires du bruit lors de l'utilisation des échantillonneurs supportants Eta. Vous pouvez l'utiliser pour produire encore plus de variation dans les images, ou vous pouvez utiliser ceci pour faire correspondre les images avec d'autres logiciels si vous savez ce que vous faites.",
     "Enable Autocomplete": "Activer l'autocomplétion",
     "/0.0": "/0.0"
 }
\ No newline at end of file

From c7af69f893227b58935fc9da083910e5c90925de Mon Sep 17 00:00:00 2001
From: tumbly <tumbly@example.com>
Date: Tue, 25 Oct 2022 22:03:02 +0200
Subject: [PATCH 170/321] Add missed fixes from salco's comments, tweak some

---
 localizations/fr-FR.json | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/localizations/fr-FR.json b/localizations/fr-FR.json
index 5c1e97c7..b33d0838 100644
--- a/localizations/fr-FR.json
+++ b/localizations/fr-FR.json
@@ -69,14 +69,14 @@
     "Resize seed from height": "Hauteur de redimensionnement de la valeur aléatoire",
     "Script": "Script",
     "None": "Aucun",
-    "Prompt matrix": "Matrice de requête",
-    "Prompts from file or textbox": "Requêtes depuis un fichier ou une boite de dialogue",
+    "Prompt matrix": "Matrice de requète",
+    "Prompts from file or textbox": "Requètes depuis un fichier ou une boite de dialogue",
     "X/Y plot": "graphe X/Y",
     "Put variable parts at start of prompt": "Mettre les mots clés variable au début de la requête",
     "Show Textbox": "Afficher le champs texte",
     "File with inputs": "Fichier d'entrée",
     "Prompts": "Requêtes",
-    "X type": "Axe X",
+    "X type": "Paramètre axe X",
     "Nothing": "Rien",
     "Var. seed": "Valeur aléatoire variable",
     "Var. strength": "Puissance variable",
@@ -94,9 +94,9 @@
     "Eta": "Temps estimé",
     "Clip skip": "Passer Clip",
     "Denoising": "Réduction du bruit",
-    "X values": "Valeur X",
-    "Y type": "Type Y",
-    "Y values": "Valeur Y",
+    "X values": "Valeurs X",
+    "Y type": "Paramètre axe Y",
+    "Y values": "Valeurs Y",
     "Draw legend": "Afficher la légende",
     "Include Separate Images": "Inclure les images séparées",
     "Keep -1 for seeds": "Conserver -1 pour la valeur aléatoire",

From 146856f66d7e06a762f5ef5bf61a226057de6757 Mon Sep 17 00:00:00 2001
From: Milly <milly.ca@gmail.com>
Date: Tue, 25 Oct 2022 06:21:31 +0900
Subject: [PATCH 171/321] images: allow nested bracket in filename pattern

---
 modules/images.py | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 286de2ae..ed448a8a 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -277,7 +277,7 @@ invalid_filename_chars = '<>:"/\\|?*\n'
 invalid_filename_prefix = ' '
 invalid_filename_postfix = ' .'
 re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
-re_pattern = re.compile(r"([^\[\]]+|\[([^]]+)]|[\[\]]*)")
+re_pattern = re.compile(r"(.*?)(?:\[([^\[\]]+)\]|$)")
 re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
 max_filename_part_length = 128
 
@@ -362,9 +362,9 @@ class FilenameGenerator:
 
         for m in re_pattern.finditer(x):
             text, pattern = m.groups()
+            res += text
 
             if pattern is None:
-                res += text
                 continue
 
             pattern_args = []
@@ -385,12 +385,9 @@ class FilenameGenerator:
                     print(f"Error adding [{pattern}] to filename", file=sys.stderr)
                     print(traceback.format_exc(), file=sys.stderr)
 
-                if replacement is None:
-                    res += f'[{pattern}]'
-                else:
+                if replacement is not None:
                     res += str(replacement)
-
-                continue
+                    continue
 
             res += f'[{pattern}]'
 

From 757264c453eca533ee1c9ea7e9d9b45a009367d7 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Tue, 25 Oct 2022 23:39:21 +0900
Subject: [PATCH 172/321] default_time_format if format is blank

---
 modules/images.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/images.py b/modules/images.py
index ed448a8a..bfc2ba06 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -343,7 +343,7 @@ class FilenameGenerator:
     def datetime(self, *args):
         time_datetime = datetime.datetime.now()
 
-        time_format = args[0] if len(args) > 0 else self.default_time_format
+        time_format = args[0] if len(args) > 0 and args[0] != "" else self.default_time_format
         try:
             time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
         except pytz.exceptions.UnknownTimeZoneError as _:

From 9d82c351ac36d1511f5f65b24443c60250ee3e9e Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 26 Oct 2022 09:56:25 +0300
Subject: [PATCH 173/321] fix typo in on_save_imaged/on_image_saved; hope no
 extension is using it yet

---
 modules/script_callbacks.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index dc520abc..6803d57b 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -90,7 +90,7 @@ def on_ui_settings(callback):
     add_callback(callbacks_ui_settings, callback)
 
 
-def on_save_imaged(callback):
+def on_image_saved(callback):
     """register a function to be called after modules.images.save_image is called.
     The callback is called with three arguments:
         - p - procesing object (or a dummy object with same fields if the image is saved using save button)

From cb49800c08a9f6619733250401952e5571dc12f8 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Tue, 25 Oct 2022 01:39:59 -0700
Subject: [PATCH 174/321] img2img, use smartphone photos' EXIF orientation

---
 modules/img2img.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/modules/img2img.py b/modules/img2img.py
index 8d9f7cf9..9c0cf23e 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -39,6 +39,8 @@ def process_batch(p, input_dir, output_dir, args):
             break
 
         img = Image.open(image)
+        # Use the EXIF orientation of photos taken by smartphones.
+        img = ImageOps.exif_transpose(img) 
         p.init_images = [img] * p.batch_size
 
         proc = modules.scripts.scripts_img2img.run(p, *args)
@@ -61,19 +63,25 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro
     is_batch = mode == 2
 
     if is_inpaint:
+        # Drawn mask
         if mask_mode == 0:
             image = init_img_with_mask['image']
             mask = init_img_with_mask['mask']
             alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')
             mask = ImageChops.lighter(alpha_mask, mask.convert('L')).convert('L')
             image = image.convert('RGB')
+        # Uploaded mask
         else:
             image = init_img_inpaint
             mask = init_mask_inpaint
+    # No mask
     else:
         image = init_img
         mask = None
 
+    # Use the EXIF orientation of photos taken by smartphones.
+    image = ImageOps.exif_transpose(image) 
+
     assert 0. <= denoising_strength <= 1., 'can only work with strength in [0.0, 1.0]'
 
     p = StableDiffusionProcessingImg2Img(

From a524d137d0a89bb19a6676dc9b8fbb5d1b580678 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Mon, 24 Oct 2022 23:48:05 -0700
Subject: [PATCH 175/321] patch bug (SeverianVoid's comment on 5245c7a)

---
 modules/hypernetworks/hypernetwork.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 842b6447..8113b35b 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -487,7 +487,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             if image is not None:
                 shared.state.current_image = image
-                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)
+                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
                 last_saved_image += f", prompt: {preview_text}"
 
         shared.state.job_no = hypernetwork.step

From c2dc9bfa89070b8e1d857f8773a790b752f1b709 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Mon, 24 Oct 2022 23:22:58 -0700
Subject: [PATCH 176/321] Implement PR #3189 but for embeddings.

---
 modules/textual_inversion/textual_inversion.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 647ffe3e..22c7b54b 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -10,7 +10,7 @@ import csv
 
 from PIL import Image, PngImagePlugin
 
-from modules import shared, devices, sd_hijack, processing, sd_models
+from modules import shared, devices, sd_hijack, processing, sd_models, images
 import modules.textual_inversion.dataset
 from modules.textual_inversion.learn_schedule import LearnRateScheduler
 
@@ -247,6 +247,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
 
     last_saved_file = "<none>"
     last_saved_image = "<none>"
+    forced_filename = "<none>"
     embedding_yet_to_be_embedded = False
 
     ititial_step = embedding.step or 0
@@ -296,8 +297,8 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
         })
 
         if embedding.step > 0 and images_dir is not None and embedding.step % create_image_every == 0:
-            last_saved_image = os.path.join(images_dir, f'{embedding_name}-{embedding.step}.png')
-
+            forced_filename = f'{embedding_name}-{embedding.step}'
+            last_saved_image = os.path.join(images_dir, forced_filename)
             p = processing.StableDiffusionProcessingTxt2Img(
                 sd_model=shared.sd_model,
                 do_not_save_grid=True,
@@ -353,8 +354,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
                 captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
                 embedding_yet_to_be_embedded = False
 
-            image.save(last_saved_image)
-
+            last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)
             last_saved_image += f", prompt: {preview_text}"
 
         shared.state.job_no = embedding.step

From 4875a6c217df5cc06ee2bf11fb645b172c7156a8 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Mon, 24 Oct 2022 23:38:07 -0700
Subject: [PATCH 177/321] Implement PR #3309 but for embeddings.

---
 modules/textual_inversion/textual_inversion.py | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 22c7b54b..4921bd01 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -167,6 +167,8 @@ def create_embedding(name, num_vectors_per_token, overwrite_old, init_text='*'):
     for i in range(num_vectors_per_token):
         vec[i] = embedded[i * int(embedded.shape[0]) // num_vectors_per_token]
 
+    # Remove illegal characters from name.
+    name = "".join( x for x in name if (x.isalnum() or x in "._- "))
     fn = os.path.join(shared.cmd_opts.embeddings_dir, f"{name}.pt")
     if not overwrite_old:
         assert not os.path.exists(fn), f"file {fn} already exists"
@@ -287,7 +289,9 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
         pbar.set_description(f"[Epoch {epoch_num}: {epoch_step}/{len(ds)}]loss: {losses.mean():.7f}")
 
         if embedding.step > 0 and embedding_dir is not None and embedding.step % save_embedding_every == 0:
-            last_saved_file = os.path.join(embedding_dir, f'{embedding_name}-{embedding.step}.pt')
+            # Before saving, change name to match current checkpoint.
+            embedding.name = f'{embedding_name}-{embedding.step}'
+            last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
             embedding.save(last_saved_file)
             embedding_yet_to_be_embedded = True
 
@@ -374,6 +378,9 @@ Last saved image: {html.escape(last_saved_image)}<br/>
     embedding.sd_checkpoint = checkpoint.hash
     embedding.sd_checkpoint_name = checkpoint.model_name
     embedding.cached_checksum = None
+    # Before saving for the last time, change name back to base name (as opposed to the save_embedding_every step-suffixed naming convention).
+    embedding.name = embedding_name
+    filename = os.path.join(shared.cmd_opts.embedding_dir, f'{embedding.name}.pt')
     embedding.save(filename)
 
     return embedding, filename

From f4e14642173a04723200b131deb417c6c79cab17 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Tue, 25 Oct 2022 00:04:25 -0700
Subject: [PATCH 178/321] Implement PR #3625 but for embeddings.

---
 modules/textual_inversion/textual_inversion.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 4921bd01..4fcebe74 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -358,7 +358,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
                 captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
                 embedding_yet_to_be_embedded = False
 
-            last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename)
+            last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
             last_saved_image += f", prompt: {preview_text}"
 
         shared.state.job_no = embedding.step

From 1e428238db4e399b7a06ad5251cb16eef23a014d Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 26 Oct 2022 11:47:07 +0300
Subject: [PATCH 179/321] add override_settings to API as an alternative to
 #3629

---
 modules/processing.py | 25 ++++++++++++++++++++-----
 modules/shared.py     |  4 ++--
 2 files changed, 22 insertions(+), 7 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index c61bbfbd..4efba946 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -77,9 +77,8 @@ def get_correct_sampler(p):
 class StableDiffusionProcessing():
     """
     The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing
-    
     """
-    def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str="", styles: List[str]=None, seed: int=-1, subseed: int=-1, subseed_strength: float=0, seed_resize_from_h: int=-1, seed_resize_from_w: int=-1, seed_enable_extras: bool=True, sampler_index: int=0, batch_size: int=1, n_iter: int=1, steps:int =50, cfg_scale:float=7.0, width:int=512, height:int=512, restore_faces:bool=False, tiling:bool=False, do_not_save_samples:bool=False, do_not_save_grid:bool=False, extra_generation_params: Dict[Any,Any]=None, overlay_images: Any=None, negative_prompt: str=None, eta: float =None, do_not_reload_embeddings: bool=False, denoising_strength: float = 0, ddim_discretize: str = "uniform", s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0):
+    def __init__(self, sd_model=None, outpath_samples=None, outpath_grids=None, prompt: str = "", styles: List[str] = None, seed: int = -1, subseed: int = -1, subseed_strength: float = 0, seed_resize_from_h: int = -1, seed_resize_from_w: int = -1, seed_enable_extras: bool = True, sampler_index: int = 0, batch_size: int = 1, n_iter: int = 1, steps: int = 50, cfg_scale: float = 7.0, width: int = 512, height: int = 512, restore_faces: bool = False, tiling: bool = False, do_not_save_samples: bool = False, do_not_save_grid: bool = False, extra_generation_params: Dict[Any, Any] = None, overlay_images: Any = None, negative_prompt: str = None, eta: float = None, do_not_reload_embeddings: bool = False, denoising_strength: float = 0, ddim_discretize: str = None, s_churn: float = 0.0, s_tmax: float = None, s_tmin: float = 0.0, s_noise: float = 1.0, override_settings: Dict[str, Any] = None):
         self.sd_model = sd_model
         self.outpath_samples: str = outpath_samples
         self.outpath_grids: str = outpath_grids
@@ -109,13 +108,14 @@ class StableDiffusionProcessing():
         self.do_not_reload_embeddings = do_not_reload_embeddings
         self.paste_to = None
         self.color_corrections = None
-        self.denoising_strength: float = 0
+        self.denoising_strength: float = denoising_strength
         self.sampler_noise_scheduler_override = None
-        self.ddim_discretize = opts.ddim_discretize
+        self.ddim_discretize = ddim_discretize or opts.ddim_discretize
         self.s_churn = s_churn or opts.s_churn
         self.s_tmin = s_tmin or opts.s_tmin
         self.s_tmax = s_tmax or float('inf')  # not representable as a standard ui option
         self.s_noise = s_noise or opts.s_noise
+        self.override_settings = {k: v for k, v in (override_settings or {}).items() if k not in shared.restricted_opts}
 
         if not seed_enable_extras:
             self.subseed = -1
@@ -129,7 +129,6 @@ class StableDiffusionProcessing():
         self.all_seeds = None
         self.all_subseeds = None
 
-
     def init(self, all_prompts, all_seeds, all_subseeds):
         pass
 
@@ -351,6 +350,22 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
 
 
 def process_images(p: StableDiffusionProcessing) -> Processed:
+    stored_opts = {k: opts.data[k] for k in p.override_settings.keys()}
+
+    try:
+        for k, v in p.override_settings.items():
+            opts.data[k] = v  # we don't call onchange for simplicity which makes changing model, hypernet impossible
+
+        res = process_images_inner(p)
+
+    finally:
+        for k, v in stored_opts.items():
+            opts.data[k] = v
+
+    return res
+
+
+def process_images_inner(p: StableDiffusionProcessing) -> Processed:
     """this is the main loop that both txt2img and img2img use; it calls func_init once inside all the scopes and func_sample once per batch"""
 
     if type(p.prompt) == list:
diff --git a/modules/shared.py b/modules/shared.py
index 308fccce..1a9b8289 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -84,7 +84,7 @@ parser.add_argument("--ui-debug-mode", action='store_true', help="Don't load mod
 parser.add_argument("--device-id", type=str, help="Select the default CUDA device to use (export CUDA_VISIBLE_DEVICES=0,1,etc might be needed before)", default=None)
 
 cmd_opts = parser.parse_args()
-restricted_opts = [
+restricted_opts = {
     "samples_filename_pattern",
     "directories_filename_pattern",
     "outdir_samples",
@@ -94,7 +94,7 @@ restricted_opts = [
     "outdir_grids",
     "outdir_txt2img_grids",
     "outdir_save",
-]
+}
 
 devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_swinir, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
 (devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'])

From d3fc0f7fc46b6f293db67604d43370db7812edb3 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Wed, 26 Oct 2022 17:59:10 +0900
Subject: [PATCH 180/321] Update new strings

---
 localizations/ko_KR.json | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 07c2797c..ff70f1ea 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -36,6 +36,7 @@
   "Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
+  "Auto focal point crop": "초점 기준 크롭(자동 감지)",
   "Batch count": "배치 수",
   "Batch from Directory": "저장 경로로부터 여러장 처리",
   "Batch img2img": "이미지→이미지 배치",
@@ -67,6 +68,7 @@
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
   "Create aesthetic images embedding": "스타일 이미지 임베딩 생성하기",
+  "Create debug image": "디버그 이미지 생성",
   "Create embedding": "임베딩 생성",
   "Create flipped copies": "좌우로 뒤집은 복사본 생성",
   "Create hypernetwork": "하이퍼네트워크 생성",
@@ -148,6 +150,9 @@
   "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
+  "Focal point edges weight": "경계면 가중치",
+  "Focal point entropy weight": "엔트로피 가중치",
+  "Focal point face weight": "얼굴 가중치",
   "Font for image grids that have text": "텍스트가 존재하는 그리드 이미지의 폰트",
   "for detailed explanation.": "를 참조하십시오.",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD 업스케일링에서 타일 간 몇 픽셀을 겹치게 할지 결정하는 설정값입니다. 타일들이 다시 한 이미지로 합쳐질 때, 눈에 띄는 이음매가 없도록 서로 겹치게 됩니다.",
@@ -381,6 +386,7 @@
   "Seed": "시드",
   "Seed of a different picture to be mixed into the generation.": "결과물에 섞일 다른 그림의 시드",
   "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
+  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "레이어 가중치 초기화 방식 선택 - relu류 : Kaiming 추천, sigmoid류 : Xavier 추천",
   "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "WebUI에 표시할 Real-ESRGAN 모델을 선택하십시오. (재시작 필요)",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",

From 0cd74602531a40f72d1a75b471a8a9166135d333 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Wed, 26 Oct 2022 13:12:44 +0300
Subject: [PATCH 181/321] add script callback for before image save and change
 callback for after image save to use a class with parameters

---
 modules/images.py           | 42 ++++++++++++++++++--------------
 modules/script_callbacks.py | 48 ++++++++++++++++++++++++++++++-------
 2 files changed, 64 insertions(+), 26 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index bfc2ba06..7870b5b7 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -451,17 +451,6 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     """
     namegen = FilenameGenerator(p, seed, prompt)
 
-    if extension == 'png' and opts.enable_pnginfo and info is not None:
-        pnginfo = PngImagePlugin.PngInfo()
-
-        if existing_info is not None:
-            for k, v in existing_info.items():
-                pnginfo.add_text(k, str(v))
-
-        pnginfo.add_text(pnginfo_section_name, info)
-    else:
-        pnginfo = None
-
     if save_to_dirs is None:
         save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)
 
@@ -489,19 +478,27 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         if add_number:
             basecount = get_next_sequence_number(path, basename)
             fullfn = None
-            fullfn_without_extension = None
             for i in range(500):
                 fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
                 fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
-                fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
                 if not os.path.exists(fullfn):
                     break
         else:
             fullfn = os.path.join(path, f"{file_decoration}.{extension}")
-            fullfn_without_extension = os.path.join(path, file_decoration)
     else:
         fullfn = os.path.join(path, f"{forced_filename}.{extension}")
-        fullfn_without_extension = os.path.join(path, forced_filename)
+
+    pnginfo = existing_info or {}
+    if info is not None:
+        pnginfo[pnginfo_section_name] = info
+
+    params = script_callbacks.ImageSaveParams(image, p, fullfn, pnginfo)
+    script_callbacks.before_image_saved_callback(params)
+
+    image = params.image
+    fullfn = params.filename
+    info = params.pnginfo.get(pnginfo_section_name, None)
+    fullfn_without_extension, extension = os.path.splitext(params.filename)
 
     def exif_bytes():
         return piexif.dump({
@@ -510,12 +507,20 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
             },
         })
 
-    if extension.lower() in ("jpg", "jpeg", "webp"):
+    if extension.lower() == '.png':
+        pnginfo_data = PngImagePlugin.PngInfo()
+        for k, v in params.pnginfo.items():
+            pnginfo_data.add_text(k, str(v))
+
+        image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo_data)
+
+    elif extension.lower() in (".jpg", ".jpeg", ".webp"):
         image.save(fullfn, quality=opts.jpeg_quality)
+
         if opts.enable_pnginfo and info is not None:
             piexif.insert(exif_bytes(), fullfn)
     else:
-        image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo)
+        image.save(fullfn, quality=opts.jpeg_quality)
 
     target_side_length = 4000
     oversize = image.width > target_side_length or image.height > target_side_length
@@ -538,7 +543,8 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
     else:
         txt_fullfn = None
 
-    script_callbacks.image_saved_callback(image, p, fullfn, txt_fullfn)
+    script_callbacks.image_saved_callback(params)
+
     return fullfn, txt_fullfn
 
 
diff --git a/modules/script_callbacks.py b/modules/script_callbacks.py
index 6803d57b..6ea58d61 100644
--- a/modules/script_callbacks.py
+++ b/modules/script_callbacks.py
@@ -9,15 +9,34 @@ def report_exception(c, job):
     print(traceback.format_exc(), file=sys.stderr)
 
 
+class ImageSaveParams:
+    def __init__(self, image, p, filename, pnginfo):
+        self.image = image
+        """the PIL image itself"""
+
+        self.p = p
+        """p object with processing parameters; either StableDiffusionProcessing or an object with same fields"""
+
+        self.filename = filename
+        """name of file that the image would be saved to"""
+
+        self.pnginfo = pnginfo
+        """dictionary with parameters for image's PNG info data; infotext will have the key 'parameters'"""
+
+
 ScriptCallback = namedtuple("ScriptCallback", ["script", "callback"])
 callbacks_model_loaded = []
 callbacks_ui_tabs = []
 callbacks_ui_settings = []
+callbacks_before_image_saved = []
 callbacks_image_saved = []
 
+
 def clear_callbacks():
     callbacks_model_loaded.clear()
     callbacks_ui_tabs.clear()
+    callbacks_ui_settings.clear()
+    callbacks_before_image_saved.clear()
     callbacks_image_saved.clear()
 
 
@@ -49,10 +68,18 @@ def ui_settings_callback():
             report_exception(c, 'ui_settings_callback')
 
 
-def image_saved_callback(image, p, fullfn, txt_fullfn):
+def before_image_saved_callback(params: ImageSaveParams):
     for c in callbacks_image_saved:
         try:
-            c.callback(image, p, fullfn, txt_fullfn)
+            c.callback(params)
+        except Exception:
+            report_exception(c, 'before_image_saved_callback')
+
+
+def image_saved_callback(params: ImageSaveParams):
+    for c in callbacks_image_saved:
+        try:
+            c.callback(params)
         except Exception:
             report_exception(c, 'image_saved_callback')
 
@@ -64,7 +91,6 @@ def add_callback(callbacks, fun):
     callbacks.append(ScriptCallback(filename, fun))
 
 
-
 def on_model_loaded(callback):
     """register a function to be called when the stable diffusion model is created; the model is
     passed as an argument"""
@@ -90,11 +116,17 @@ def on_ui_settings(callback):
     add_callback(callbacks_ui_settings, callback)
 
 
+def on_before_image_saved(callback):
+    """register a function to be called before an image is saved to a file.
+    The callback is called with one argument:
+        - params: ImageSaveParams - parameters the image is to be saved with. You can change fields in this object.
+    """
+    add_callback(callbacks_before_image_saved, callback)
+
+
 def on_image_saved(callback):
-    """register a function to be called after modules.images.save_image is called.
-    The callback is called with three arguments:
-        - p - procesing object (or a dummy object with same fields if the image is saved using save button)
-        - fullfn - image filename
-        - txt_fullfn - text file with parameters; may be None
+    """register a function to be called after an image is saved to a file.
+    The callback is called with one argument:
+        - params: ImageSaveParams - parameters the image was saved with. Changing fields in this object does nothing.
     """
     add_callback(callbacks_image_saved, callback)

From 0c38baeb20086c05eac86a6812a4cca740f69c21 Mon Sep 17 00:00:00 2001
From: camenduru <54370274+camenduru@users.noreply.github.com>
Date: Tue, 25 Oct 2022 12:15:17 +0300
Subject: [PATCH 182/321] =?UTF-8?q?=F0=9F=A7=BF=20Turkish=20localization?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

translated with deepl, it needs some tweaks I will fix 🔧
---
 localizations/tr_TR.json | 423 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 423 insertions(+)
 create mode 100644 localizations/tr_TR.json

diff --git a/localizations/tr_TR.json b/localizations/tr_TR.json
new file mode 100644
index 00000000..511b8882
--- /dev/null
+++ b/localizations/tr_TR.json
@@ -0,0 +1,423 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Yükleniyor...",
+    "view": "görünüm",
+    "api": "api",
+    "•": "-",
+    "built with gradio": "gradio ile inşa edildi",
+    "Stable Diffusion checkpoint": "Kararlı Difüzyon kontrol noktası",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Ekstralar",
+    "PNG Info": "PNG Bilgisi",
+    "Checkpoint Merger": "Checkpoint Birleşmesi",
+    "Train": "Tren",
+    "Settings": "Ayarlar",
+    "Prompt": "İstem",
+    "Negative prompt": "Negatif istem",
+    "Run": "Koşmak",
+    "Skip": "Atla",
+    "Interrupt": "Kesinti",
+    "Generate": "Oluşturmak",
+    "Style 1": "Stil 1",
+    "Style 2": "Stil 2",
+    "Label": "Etiket",
+    "File": "Dosya",
+    "Drop File Here": "Dosyayı Buraya Bırakın",
+    "-": "-",
+    "or": "veya",
+    "Click to Upload": "Yüklemek için Tıklayınız",
+    "Image": "Resim",
+    "Check progress": "İlerlemeyi kontrol edin",
+    "Check progress (first)": "İlerlemeyi kontrol edin (önce)",
+    "Sampling Steps": "Örnekleme Adımları",
+    "Sampling method": "Örnekleme yöntemi",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM hızlı",
+    "DPM adaptive": "DPM uyarlanabilir",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Genişlik",
+    "Height": "Yükseklik",
+    "Restore faces": "Yüzleri geri yükle",
+    "Tiling": "Döşeme",
+    "Highres. fix": "Highres. düzeltme",
+    "Firstpass width": "İlk geçiş genişliği",
+    "Firstpass height": "İlk geçiş yüksekliği",
+    "Denoising strength": "Denoising gücü",
+    "Batch count": "Parti sayısı",
+    "Batch size": "Parti büyüklüğü",
+    "CFG Scale": "CFG Ölçeği",
+    "Seed": "Tohum",
+    "Extra": "Ekstra",
+    "Variation seed": "Varyasyon tohumu",
+    "Variation strength": "Varyasyon gücü",
+    "Resize seed from width": "Tohumu genişlikten yeniden boyutlandırma",
+    "Resize seed from height": "Tohumu yükseklikten yeniden boyutlandırma",
+    "Script": "Senaryo",
+    "None": "Hiçbiri",
+    "Prompt matrix": "İstem matrisi",
+    "Prompts from file or textbox": "Dosyadan veya metin kutusundan istemler",
+    "X/Y plot": "X/Y grafiği",
+    "Put variable parts at start of prompt": "Değişken parçaları komut isteminin başına koyun",
+    "Show Textbox": "Metin Kutusunu Göster",
+    "File with inputs": "Girdileri içeren dosya",
+    "Prompts": "İpuçları",
+    "X type": "X tipi",
+    "Nothing": "Hiçbir şey",
+    "Var. seed": "Var. tohum",
+    "Var. strength": "Var. güç",
+    "Steps": "Adımlar",
+    "Prompt S/R": "Hızlı S/R",
+    "Prompt order": "Hızlı sipariş",
+    "Sampler": "Örnekleyici",
+    "Checkpoint name": "Kontrol noktası adı",
+    "Hypernetwork": "Hipernetwork",
+    "Hypernet str.": "Hypernet str.",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma dakika",
+    "Sigma max": "Sigma maksimum",
+    "Sigma noise": "Sigma gürültüsü",
+    "Eta": "Eta",
+    "Clip skip": "Klip atlama",
+    "Denoising": "Denoising",
+    "X values": "X değerleri",
+    "Y type": "Y tipi",
+    "Y values": "Y değerleri",
+    "Draw legend": "Gösterge çizin",
+    "Include Separate Images": "Ayrı Görseller Ekleyin",
+    "Keep -1 for seeds": "Tohumlar için -1'i saklayın",
+    "Drop Image Here": "Resmi Buraya Bırakın",
+    "Save": "Kaydet",
+    "Send to img2img": "img2img'ye gönder",
+    "Send to inpaint": "Inpaint'e gönder",
+    "Send to extras": "Ekstralara gönder",
+    "Make Zip when Save?": "Kaydederken Zip Yap?",
+    "Textbox": "Metin Kutusu",
+    "Interrogate\nCLIP": "Sorgula\nCLIP",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Toplu img2img",
+    "Image for img2img": "img2img için resim",
+    "Image for inpainting with mask": "Maske ile inpainting için görüntü",
+    "Mask": "Maske",
+    "Mask blur": "Maske bulanıklığı",
+    "Mask mode": "Maske modu",
+    "Draw mask": "Maske çizin",
+    "Upload mask": "Maske yükle",
+    "Masking mode": "Maskeleme modu",
+    "Inpaint masked": "Maskeli inpaint",
+    "Inpaint not masked": "Boya maskelenmemiş",
+    "Masked content": "Maskelenmiş içerik",
+    "fill": "doldurun",
+    "original": "orijinal",
+    "latent noise": "gizli gürültü",
+    "latent nothing": "gizli hiçbir şey",
+    "Inpaint at full resolution": "Tam çözünürlükte inpaint",
+    "Inpaint at full resolution padding, pixels": "Tam çözünürlükte inpaint dolgu, piksel",
+    "Process images in a directory on the same machine where the server is running.": "Görüntüleri sunucunun çalıştığı makinedeki bir dizinde işleyin.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Resimleri çıktı dizinine yazmak yerine normal şekilde kaydetmek için boş bir çıktı dizini kullanın.",
+    "Input directory": "Girdi dizini",
+    "Output directory": "Çıktı dizini",
+    "Resize mode": "Yeniden boyutlandırma modu",
+    "Just resize": "Sadece yeniden boyutlandır",
+    "Crop and resize": "Kırpma ve yeniden boyutlandırma",
+    "Resize and fill": "Yeniden boyutlandırın ve doldurun",
+    "img2img alternative test": "img2img alternatif test",
+    "Loopback": "Geri Döngü",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Zavallı adamın dış boyaması",
+    "SD upscale": "SD lüks",
+    "should be 2 or lower.": "2 veya daha düşük olmalıdır.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Euler için `Örnekleme yöntemini` geçersiz kılın (bu yöntem bunun için oluşturulmuştur)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Prompt` değerini `orijinal prompt` ile aynı değere geçersiz kılma (ve `negatif prompt`)",
+    "Original prompt": "Orijinal bilgi istemi",
+    "Original negative prompt": "Orijinal negatif istem",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Örnekleme Adımlarını `Kod çözme adımları` ile aynı değere mi geçersiz kılıyorsunuz?",
+    "Decode steps": "Kod çözme adımları",
+    "Override `Denoising strength` to 1?": "`Denoising strength` değerini 1 olarak geçersiz kıl?",
+    "Decode CFG scale": "CFG ölçeğinin kodunu çöz",
+    "Randomness": "Rastgelelik",
+    "Sigma adjustment for finding noise for image": "Görüntü için gürültü bulmaya yönelik Sigma ayarı",
+    "Loops": "Döngüler",
+    "Denoising strength change factor": "Denoising gücü değişim faktörü",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Önerilen ayarlar: Örnekleme Adımları: 80-100, Örnekleyici: Euler a, Denoising gücü: 0.8",
+    "Pixels to expand": "Genişletilecek pikseller",
+    "Outpainting direction": "Dış boyama yönü",
+    "left": "sol",
+    "right": "doğru",
+    "up": "yukarı",
+    "down": "aşağı",
+    "Fall-off exponent (lower=higher detail)": "Düşme üssü (düşük=daha yüksek detay)",
+    "Color variation": "Renk çeşitliliği",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Görüntüyü boyutlarının iki katına yükseltir; döşeme boyutunu ayarlamak için genişlik ve yükseklik kaydırıcılarını kullanın",
+    "Tile overlap": "Karo örtüşmesi",
+    "Upscaler": "Upscaler",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "SwinIR 4x": "SwinIR 4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "Single Image": "Tek Resim",
+    "Batch Process": "Toplu İşlem",
+    "Batch from Directory": "Dizinden Toplu İş",
+    "Source": "Kaynak",
+    "Show result images": "Sonuç resimlerini göster",
+    "Scale by": "Ölçek tarafından",
+    "Scale to": "Ölçeklendirmek",
+    "Resize": "Yeniden Boyutlandır",
+    "Crop to fit": "Sığdırmak için kırpın",
+    "Upscaler 2 visibility": "Upscaler 2 görünürlüğü",
+    "GFPGAN visibility": "GFPGAN görünürlüğü",
+    "CodeFormer visibility": "CodeFormer görünürlüğü",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer ağırlığı (0 = maksimum etki, 1 = minimum etki)",
+    "Open output directory": "Çıktı dizinini aç",
+    "Send to txt2img": "txt2img'ye gönder",
+    "A merger of the two checkpoints will be generated in your": "İki kontrol noktasının bir birleşimi sizin kontrol noktanızda oluşturulacaktır.",
+    "checkpoint": "kontrol noktası",
+    "directory.": "dizin.",
+    "Primary model (A)": "Birincil model (A)",
+    "Secondary model (B)": "İkincil model (B)",
+    "Tertiary model (C)": "Tersiyer model (C)",
+    "Custom Name (Optional)": "Özel Ad (İsteğe Bağlı)",
+    "Multiplier (M) - set to 0 to get model A": "Çarpan (M) - A modelini elde etmek için 0'a ayarlayın",
+    "Interpolation Method": "İnterpolasyon Yöntemi",
+    "Weighted sum": "Ağırlıklı toplam",
+    "Add difference": "Farklılık ekleyin",
+    "Save as float16": "float16 olarak kaydet",
+    "See": "Bkz.",
+    "wiki": "wiki",
+    "for detailed explanation.": "ayrıntılı açıklama için.",
+    "Create embedding": "Yerleştirme oluşturma",
+    "Create hypernetwork": "Hipernet oluşturun",
+    "Preprocess images": "Görüntüleri ön işleme",
+    "Name": "İsim",
+    "Initialization text": "Başlatma metni",
+    "Number of vectors per token": "Belirteç başına vektör sayısı",
+    "Overwrite Old Embedding": "Eski Yerleştirmenin Üzerine Yaz",
+    "Modules": "Modüller",
+    "Enter hypernetwork layer structure": "Hipernetwork katman yapısına girin",
+    "Select activation function of hypernetwork": "Hipernetwork'ün aktivasyon fonksiyonunu seçin",
+    "linear": "doğrusal",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "Katman normalizasyonu ekleyin",
+    "Use dropout": "Bırakmayı kullanın",
+    "Overwrite Old Hypernetwork": "Eski Hipernetwork'ün Üzerine Yazma",
+    "Source directory": "Kaynak dizini",
+    "Destination directory": "Hedef dizini",
+    "Existing Caption txt Action": "Mevcut Başlık txt Eylem",
+    "ignore": "görmezden gel",
+    "copy": "kopya",
+    "prepend": "prepend",
+    "append": "ekle",
+    "Create flipped copies": "Ters çevrilmiş kopyalar oluşturun",
+    "Split oversized images": "Büyük boyutlu görüntüleri bölme",
+    "Use BLIP for caption": "Başlık için BLIP kullanın",
+    "Use deepbooru for caption": "Başlık için deepbooru kullanın",
+    "Split image threshold": "Bölünmüş görüntü eşiği",
+    "Split image overlap ratio": "Bölünmüş görüntü örtüşme oranı",
+    "Preprocess": "Ön işlem",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Bir gömme veya Hipernetwork eğitin; 1:1 oranlı görüntülerin bulunduğu bir dizin belirtmelisiniz",
+    "[wiki]": "[wiki]",
+    "Embedding": "Yerleştirme",
+    "Embedding Learning rate": "Gömme Öğrenme oranı",
+    "Hypernetwork Learning rate": "Hypernetwork Öğrenme oranı",
+    "Dataset directory": "Veri seti dizini",
+    "Log directory": "Günlük dizini",
+    "Prompt template file": "Komut istemi şablon dosyası",
+    "Max steps": "Maksimum adım",
+    "Save an image to log directory every N steps, 0 to disable": "Her N adımda bir görüntüyü günlük dizinine kaydet, 0 devre dışı bırakmak için",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Katıştırmanın bir kopyasını her N adımda bir günlük dizinine kaydedin, devre dışı bırakmak için 0",
+    "Save images with embedding in PNG chunks": "Görüntüleri PNG parçalarına yerleştirerek kaydedin",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Önizleme yaparken txt2img sekmesinden parametreleri (istem, vb...) okuma",
+    "Train Hypernetwork": "Tren Hipernetwork",
+    "Train Embedding": "Tren Gömme",
+    "Apply settings": "Ayarları uygula",
+    "Saving images/grids": "Görüntüleri/gridleri kaydetme",
+    "Always save all generated images": "Oluşturulan tüm görüntüleri her zaman kaydedin",
+    "File format for images": "Görüntüler için dosya formatı",
+    "Images filename pattern": "Görüntü dosya adı deseni",
+    "Add number to filename when saving": "Kaydederken dosya adına numara ekle",
+    "Always save all generated image grids": "Oluşturulan tüm görüntü ızgaralarını her zaman kaydedin",
+    "File format for grids": "Izgaralar için dosya formatı",
+    "Add extended info (seed, prompt) to filename when saving grid": "Izgarayı kaydederken dosya adına genişletilmiş bilgi (tohum, istem) ekleyin",
+    "Do not save grids consisting of one picture": "Tek resimden oluşan ızgaraları kaydetmeyin",
+    "Prevent empty spots in grid (when set to autodetect)": "Izgaradaki boş noktaları önleme (otomatik algılamaya ayarlandığında)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Izgara satır sayısı; otomatik algılama için -1, yığın boyutuyla aynı olması için 0 kullanın",
+    "Save text information about generation parameters as chunks to png files": "Üretim parametreleri hakkındaki metin bilgilerini png dosyalarına parçalar halinde kaydedin",
+    "Create a text file next to every image with generation parameters.": "Oluşturma parametreleri ile her görüntünün yanında bir metin dosyası oluşturun.",
+    "Save a copy of image before doing face restoration.": "Yüz restorasyonu yapmadan önce görüntünün bir kopyasını kaydedin.",
+    "Quality for saved jpeg images": "Kaydedilen jpeg görüntüleri için kalite",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "PNG görüntüsü 4MB'den büyükse veya herhangi bir boyut 4000'den büyükse, ölçeği küçültün ve kopyayı JPG olarak kaydedin",
+    "Use original name for output filename during batch process in extras tab": "Ekstralar sekmesinde toplu işlem sırasında çıktı dosya adı için orijinal adı kullan",
+    "When using 'Save' button, only save a single selected image": "'Kaydet' düğmesini kullanırken, yalnızca seçilen tek bir resmi kaydedin",
+    "Do not add watermark to images": "Görüntülere filigran eklemeyin",
+    "Paths for saving": "Tasarruf için yollar",
+    "Output directory for images; if empty, defaults to three directories below": "Görüntüler için çıktı dizini; boşsa, varsayılan olarak aşağıdaki üç dizine gider",
+    "Output directory for txt2img images": "txt2img görüntüleri için çıktı dizini",
+    "Output directory for img2img images": "img2img görüntüleri için çıktı dizini",
+    "Output directory for images from extras tab": "Ekstralar sekmesindeki görüntüler için çıktı dizini",
+    "Output directory for grids; if empty, defaults to two directories below": "Izgaralar için çıktı dizini; boşsa, varsayılan olarak aşağıdaki iki dizine gider",
+    "Output directory for txt2img grids": "txt2img ızgaraları için çıktı dizini",
+    "Output directory for img2img grids": "img2img ızgaraları için çıktı dizini",
+    "Directory for saving images using the Save button": "Kaydet düğmesini kullanarak görüntüleri kaydetmek için dizin",
+    "Saving to a directory": "Bir dizine kaydetme",
+    "Save images to a subdirectory": "Görüntüleri bir alt dizine kaydetme",
+    "Save grids to a subdirectory": "Izgaraları bir alt dizine kaydetme",
+    "When using \"Save\" button, save images to a subdirectory": "\"Kaydet\" düğmesini kullanırken, görüntüleri bir alt dizine kaydedin",
+    "Directory name pattern": "Dizin adı kalıbı",
+    "Max prompt words for [prompt_words] pattern": "prompt_words] kalıbı için maksimum istem sözcükleri",
+    "Upscaling": "Yükseltme",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN yükselticileri için döşeme boyutu. 0 = döşeme yok.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN yükselticileri için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür dikiş.",
+    "Tile size for all SwinIR.": "Tüm SwinIR için döşeme boyutu.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür dikiş.",
+    "LDSR processing steps. Lower = faster": "LDSR işleme adımları. Düşük = daha hızlı",
+    "Upscaler for img2img": "img2img için üst ölçekleyici",
+    "Upscale latent space image when doing hires. fix": "İşe alım yaparken gizli alan görüntüsünü yükselt. düzelt",
+    "Face restoration": "Yüz restorasyonu",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer ağırlık parametresi; 0 = maksimum etki; 1 = minimum etki",
+    "Move face restoration model from VRAM into RAM after processing": "İşlemden sonra yüz restorasyon modelini VRAM'den RAM'e taşıma",
+    "System": "Sistem",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Üretim sırasında saniye başına VRAM kullanım yoklamaları. Devre dışı bırakmak için 0 olarak ayarlayın.",
+    "Always print all generation info to standard output": "Tüm üretim bilgilerini her zaman standart çıktıya yazdır",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Konsola tüm iş için ilerlemeyi gösteren ikinci bir ilerleme çubuğu ekleyin.",
+    "Training": "Eğitim",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Hiperneti eğitirken VAE ve CLIP'i RAM'e taşıyın. VRAM'den tasarruf sağlar.",
+    "Filename word regex": "Dosya adı kelime regex",
+    "Filename join string": "Dosya adı birleştirme dizesi",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Epok başına tek bir girdi görüntüsü için tekrar sayısı; yalnızca epok numarasını görüntülemek için kullanılır",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Her N adımda bir günlük dizinine kaybı içeren bir csv kaydedin, devre dışı bırakmak için 0",
+    "Stable Diffusion": "Kararlı Difüzyon",
+    "Checkpoints to cache in RAM": "RAM'de önbelleğe alınacak kontrol noktaları",
+    "Hypernetwork strength": "Hipernetwork gücü",
+    "Apply color correction to img2img results to match original colors.": "Orijinal renklerle eşleştirmek için img2img sonuçlarına renk düzeltmesi uygulayın.",
+    "Save a copy of image before applying color correction to img2img results": "img2img sonuçlarına renk düzeltmesi uygulamadan önce görüntünün bir kopyasını kaydedin",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "img2img ile, kaydırıcının belirttiği adım miktarını tam olarak yapın (normalde daha az denoising ile daha az yaparsınız).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Daha keskin ve temiz sonuçlar için K örnekleyicilerinde nicelemeyi etkinleştirin. Bu, mevcut tohumları değiştirebilir. Uygulamak için yeniden başlatma gerektirir.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Vurgu: modelin metne daha fazla dikkat etmesini sağlamak için (metin) ve daha az dikkat etmesini sağlamak için [metin] kullanın",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Eski vurgu uygulamasını kullanın. Eski tohumları yeniden üretmek faydalı olabilir.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-difüzyon örnekleyicilerinin tek bir görüntü oluştururken olduğu gibi toplu halde aynı görüntüleri üretmesini sağlayın",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "75'ten fazla belirteç kullanıldığında n belirteç içindeki son virgülden itibaren dolgu yaparak tutarlılığı artırın",
+    "Filter NSFW content": "NSFW içeriği filtreleme",
+    "Stop At last layers of CLIP model": "Durdur CLIP modelinin son katmanlarında",
+    "Interrogate Options": "Sorgulama Seçenekleri",
+    "Interrogate: keep models in VRAM": "Sorgula: modelleri VRAM'de tut",
+    "Interrogate: use artists from artists.csv": "Sorgula: artists.csv dosyasındaki sanatçıları kullan",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: sonuçlara eşleşen model etiketlerinin sıralarını dahil et (Başlık tabanlı sorgulayıcılar üzerinde etkisi yoktur).",
+    "Interrogate: num_beams for BLIP": "Sorgula: BLIP için num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Sorgula: minimum açıklama uzunluğu (sanatçılar vb. hariç)",
+    "Interrogate: maximum description length": "Sorgula: maksimum açıklama uzunluğu",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: metin dosyasındaki maksimum satır sayısı (0 = Sınır yok)",
+    "Interrogate: deepbooru score threshold": "Sorgula: deepbooru puan eşiği",
+    "Interrogate: deepbooru sort alphabetically": "Sorgula: deepbooru alfabetik olarak sırala",
+    "use spaces for tags in deepbooru": "deepbooru'da etiketler için boşluk kullanın",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "deepbooru'da kaçış (\\) parantezleri (böylece vurgu için değil, gerçek parantez olarak kullanılırlar)",
+    "User interface": "Kullanıcı arayüzü",
+    "Show progressbar": "İlerleme çubuğunu göster",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Her N örnekleme adımında görüntü oluşturma ilerlemesini gösterir. Devre dışı bırakmak için 0 olarak ayarlayın.",
+    "Show previews of all images generated in a batch as a grid": "Bir toplu işte oluşturulan tüm görüntülerin önizlemelerini ızgara olarak göster",
+    "Show grid in results for web": "Web için sonuçlarda ızgarayı göster",
+    "Do not show any images in results for web": "Web için sonuçlarda herhangi bir resim gösterme",
+    "Add model hash to generation information": "Üretim bilgilerine model karması ekleyin",
+    "Add model name to generation information": "Üretim bilgilerine model adı ekleme",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Üretim parametrelerini metinden kullanıcı arayüzüne okurken (PNG bilgisinden veya yapıştırılan metinden), seçilen modeli/denetim noktasını değiştirmeyin.",
+    "Font for image grids that have text": "Metin içeren görüntü ızgaraları için yazı tipi",
+    "Enable full page image viewer": "Tam sayfa resim görüntüleyiciyi etkinleştir",
+    "Show images zoomed in by default in full page image viewer": "Tam sayfa resim görüntüleyicide resimleri varsayılan olarak yakınlaştırılmış olarak gösterme",
+    "Show generation progress in window title.": "Pencere başlığında üretim ilerlemesini göster.",
+    "Quicksettings list": "Hızlı ayarlar listesi",
+    "Localization (requires restart)": "Yerelleştirme (yeniden başlatma gerektirir)",
+    "ko_KR": "ko_KR",
+    "ru_RU": "ru_RU",
+    "es_ES": "es_ES",
+    "ja_JP": "ja_JP",
+    "ar_AR": "ar_AR",
+    "Sampler parameters": "Örnekleyici parametreleri",
+    "Hide samplers in user interface (requires restart)": "Kullanıcı arayüzünde örnekleyicileri gizle (yeniden başlatma gerektirir)",
+    "eta (noise multiplier) for DDIM": "DDIM için eta (gürültü çarpanı)",
+    "eta (noise multiplier) for ancestral samplers": "atasal örnekleyiciler için eta (gürültü çarpanı)",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "üniforma",
+    "quad": "dörtlü",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma gürültüsü",
+    "Eta noise seed delta": "Eta gürültü tohum deltası",
+    "Request browser notifications": "Tarayıcı bildirimleri isteyin",
+    "Download localization template": "Yerelleştirme şablonunu indirin",
+    "Reload custom script bodies (No ui updates, No restart)": "Özel komut dosyası gövdelerini yeniden yükle (Kullanıcı arayüzü güncellemesi yok, yeniden başlatma yok)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio'yu yeniden başlatın ve bileşenleri yenileyin (yalnızca Özel Komut Dosyaları, ui.py, js ve css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "İstem (oluşturmak için Ctrl+Enter veya Alt+Enter tuşlarına basın)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Negatif istem (oluşturmak için Ctrl+Enter veya Alt+Enter tuşlarına basın)",
+    "Add a random artist to the prompt.": "Komut istemine rastgele bir sanatçı ekleyin.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Kullanıcı arayüzüne istemden veya istem boşsa son üretimden üretim parametrelerini okuyun.",
+    "Save style": "Stil kaydet",
+    "Apply selected styles to current prompt": "Seçilen stilleri geçerli komut istemine uygulama",
+    "Stop processing current image and continue processing.": "Geçerli görüntüyü işlemeyi durdurun ve işlemeye devam edin.",
+    "Stop processing images and return any results accumulated so far.": "Görüntüleri işlemeyi durdurun ve o ana kadar biriken tüm sonuçları döndürün.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Uygulanacak stil; stillerin hem pozitif hem de negatif istemler için bileşenleri vardır ve her ikisine de uygulanır",
+    "Do not do anything special": "Özel bir şey yapmayın",
+    "Which algorithm to use to produce the image": "Görüntüyü üretmek için hangi algoritmanın kullanılacağı",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - çok yaratıcı, adım sayısına bağlı olarak her biri tamamen farklı bir resim elde edebilir, adımları 30-40'tan daha yükseğe ayarlamak yardımcı olmaz",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Difüzyon Örtük Modelleri - en iyi inpainting",
+    "Produce an image that can be tiled.": "Döşenebilen bir görüntü üretin.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Bir görüntüyü kısmen daha düşük çözünürlükte oluşturmak, büyütmek ve ardından kompozisyonu değiştirmeden ayrıntıları iyileştirmek için iki adımlı bir işlem kullanın",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Algoritmanın resmin içeriğine ne kadar az saygı göstermesi gerektiğini belirler. 0'da hiçbir şey değişmez ve 1'de ilgisiz bir görüntü elde edersiniz. 1,0'ın altındaki değerlerde işleme, Örnekleme Adımları kaydırıcısının belirttiğinden daha az adım atacaktır.",
+    "How many batches of images to create": "Kaç görüntü grubu oluşturulacağı",
+    "How many image to create in a single batch": "Tek bir partide kaç görüntü oluşturulacağı",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Sınıflandırıcı Serbest Rehberlik Ölçeği - görüntünün istemle ne kadar uyumlu olması gerektiği - düşük değerler daha yaratıcı sonuçlar üretir",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Rastgele sayı üretecinin çıktısını belirleyen bir değer - başka bir resimle aynı parametrelere ve tohuma sahip bir resim oluşturursanız, aynı sonucu alırsınız",
+    "Set seed to -1, which will cause a new random number to be used every time": "Tohum değerini -1 olarak ayarlayın, bu her seferinde yeni bir rastgele sayı kullanılmasına neden olacaktır",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Son nesilden tohumu yeniden kullanın, çoğunlukla rastgele ise kullanışlıdır",
+    "Seed of a different picture to be mixed into the generation.": "Nesle karıştırılacak farklı bir resmin tohumu.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Ne kadar güçlü bir varyasyon üretileceği. 0'da hiçbir etki olmayacaktır. 1'de, varyasyon tohumu ile tam bir resim elde edersiniz (sadece bir şey alacağınız atasal örnekleyiciler hariç).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Belirtilen çözünürlükte aynı tohumla üretilecek olana benzer bir resim üretme girişiminde bulunun",
+    "Separate values for X axis using commas.": "X ekseni için değerleri virgül kullanarak ayırın.",
+    "Separate values for Y axis using commas.": "Y ekseni için değerleri virgül kullanarak ayırın.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Görüntüyü bir dizine (varsayılan - log/images) ve üretim parametrelerini csv dosyasına yazın.",
+    "Open images output directory": "Görüntü çıktı dizinini açın",
+    "How much to blur the mask before processing, in pixels.": "İşlemeden önce maskenin piksel cinsinden ne kadar bulanıklaştırılacağı.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Kararlı Difüzyon ile işlemeden önce maskelenmiş alanın içine ne konulacağı.",
+    "fill it with colors of the image": "Görüntünün renkleriyle doldurun",
+    "keep whatever was there originally": "başlangıçta orada ne varsa saklayın",
+    "fill it with latent space noise": "gizli alan gürültüsü ile doldurun",
+    "fill it with latent space zeroes": "gizli uzay sıfırları ile doldurun",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Maskelenmiş bölgeyi hedef çözünürlüğe yükseltme, inpainting yapma, ölçeği küçültme ve orijinal görüntüye yapıştırma",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Görüntüyü hedef çözünürlüğe göre yeniden boyutlandırın. Yükseklik ve genişlik eşleşmediği sürece, yanlış en boy oranı elde edersiniz.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Görüntüyü, hedef çözünürlüğün tamamı görüntüyle dolacak şekilde yeniden boyutlandırın. Dışarıda kalan kısımları kırpın.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Görüntünün tamamı hedef çözünürlüğün içinde olacak şekilde görüntüyü yeniden boyutlandırın. Boş alanı görüntünün renkleriyle doldurun.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Bir görüntüyü işlemeyi kaç kez tekrarlamak ve bir sonraki yineleme için girdi olarak kullanmak",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Geri döngü modunda, her döngüde denoising gücü bu değerle çarpılır. <1 çeşitliliğin azalması anlamına gelir, böylece diziniz sabit bir resme yakınsayacaktır. >1'den büyük olması çeşitliliğin artması anlamına gelir, böylece sekansınız gittikçe daha kaotik hale gelecektir.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "SD yükseltme için karolar arasında piksel olarak ne kadar örtüşme olmalıdır. Döşemeler, tekrar tek bir resimde birleştirildiklerinde açıkça görülebilen bir dikiş olmayacak şekilde üst üste biner.",
+    "A directory on the same machine where the server is running.": "Sunucunun çalıştığı makinedeki bir dizin.",
+    "Leave blank to save images to the default path.": "Görüntüleri varsayılan yola kaydetmek için boş bırakın.",
+    "Result = A * (1 - M) + B * M": "Sonuç = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Sonuç = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "1. ve son rakam 1 olmalıdır. örn:'1, 2, 1'",
+    "Path to directory with input images": "Girdi resimlerinin bulunduğu dizinin yolu",
+    "Path to directory where to write outputs": "Çıktıların yazılacağı dizinin yolu",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Görüntülerin dosya adlarının nasıl seçileceğini tanımlamak için aşağıdaki etiketleri kullanın: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; varsayılan için boş bırakın.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Bu seçenek etkinleştirilirse, oluşturulan görüntülere filigran eklenmeyecektir. Uyarı: filigran eklemezseniz, etik olmayan bir şekilde davranıyor olabilirsiniz.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Görüntüler ve ızgaralar için alt dizinlerin nasıl seçileceğini tanımlamak için aşağıdaki etiketleri kullanın: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; varsayılan için boş bırakın.",
+    "Restore low quality faces using GFPGAN neural network": "GFPGAN sinir ağını kullanarak düşük kaliteli yüzleri geri yükleme",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Bu düzenli ifade, dosya adından sözcükleri ayıklamak için kullanılır ve bunlar aşağıdaki seçenek kullanılarak eğitim için kullanılan etiket metnine birleştirilir. Dosya adı metnini olduğu gibi tutmak için boş bırakın.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Bu dize, yukarıdaki seçenek etkinleştirilirse bölünmüş kelimeleri tek bir satırda birleştirmek için kullanılacaktır.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Normal ayar sekmesi yerine üstteki hızlı erişim çubuğuna gitmesi gereken ayarlar için virgülle ayrılmış ayar adlarının listesi. Ayar adları için modules/shared.py dosyasına bakın. Uygulanması için yeniden başlatma gerekir.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Bu değer sıfır değilse, tohuma eklenecek ve Eta ile örnekleyiciler kullanılırken gürültüler için RNG'yi başlatmak için kullanılacaktır. Bunu daha fazla görüntü çeşitliliği üretmek için kullanabilir veya ne yaptığınızı biliyorsanız diğer yazılımların görüntülerini eşleştirmek için kullanabilirsiniz.."
+}

From ef53f7ffcfe022e6f392a6161b6cd926e81ad292 Mon Sep 17 00:00:00 2001
From: camenduru <54370274+camenduru@users.noreply.github.com>
Date: Wed, 26 Oct 2022 12:24:04 +0300
Subject: [PATCH 183/321] Fix Turkish Localization
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

it's good enough to merge 🎉
---
 localizations/tr_TR.json | 50 ++++++++++++++++++++--------------------
 1 file changed, 25 insertions(+), 25 deletions(-)

diff --git a/localizations/tr_TR.json b/localizations/tr_TR.json
index 511b8882..74cdf056 100644
--- a/localizations/tr_TR.json
+++ b/localizations/tr_TR.json
@@ -5,8 +5,8 @@
     "❮": "❮",
     "❯": "❯",
     "Loading...": "Yükleniyor...",
-    "view": "görünüm",
-    "api": "api",
+    "view": "arayüz",
+    "api": "",
     "•": "-",
     "built with gradio": "gradio ile inşa edildi",
     "Stable Diffusion checkpoint": "Kararlı Difüzyon kontrol noktası",
@@ -14,15 +14,15 @@
     "img2img": "img2img",
     "Extras": "Ekstralar",
     "PNG Info": "PNG Bilgisi",
-    "Checkpoint Merger": "Checkpoint Birleşmesi",
-    "Train": "Tren",
+    "Checkpoint Merger": "Checkpoint Birleştir",
+    "Train": "Eğitim",
     "Settings": "Ayarlar",
     "Prompt": "İstem",
     "Negative prompt": "Negatif istem",
     "Run": "Koşmak",
     "Skip": "Atla",
-    "Interrupt": "Kesinti",
-    "Generate": "Oluşturmak",
+    "Interrupt": "Durdur",
+    "Generate": "Oluştur",
     "Style 1": "Stil 1",
     "Style 2": "Stil 2",
     "Label": "Etiket",
@@ -33,7 +33,7 @@
     "Click to Upload": "Yüklemek için Tıklayınız",
     "Image": "Resim",
     "Check progress": "İlerlemeyi kontrol edin",
-    "Check progress (first)": "İlerlemeyi kontrol edin (önce)",
+    "Check progress (first)": "Önce ilerlemeyi kontrol edin",
     "Sampling Steps": "Örnekleme Adımları",
     "Sampling method": "Örnekleme yöntemi",
     "Euler a": "Euler a",
@@ -51,22 +51,22 @@
     "PLMS": "PLMS",
     "Width": "Genişlik",
     "Height": "Yükseklik",
-    "Restore faces": "Yüzleri geri yükle",
-    "Tiling": "Döşeme",
+    "Restore faces": "Yüzleri düzeltme",
+    "Tiling": "Döşeme Oluştur",
     "Highres. fix": "Highres. düzeltme",
     "Firstpass width": "İlk geçiş genişliği",
     "Firstpass height": "İlk geçiş yüksekliği",
-    "Denoising strength": "Denoising gücü",
-    "Batch count": "Parti sayısı",
-    "Batch size": "Parti büyüklüğü",
+    "Denoising strength": "Gürültü arındırma gücü",
+    "Batch count": "Grup sayısı",
+    "Batch size": "Grup büyüklüğü",
     "CFG Scale": "CFG Ölçeği",
     "Seed": "Tohum",
     "Extra": "Ekstra",
     "Variation seed": "Varyasyon tohumu",
     "Variation strength": "Varyasyon gücü",
-    "Resize seed from width": "Tohumu genişlikten yeniden boyutlandırma",
-    "Resize seed from height": "Tohumu yükseklikten yeniden boyutlandırma",
-    "Script": "Senaryo",
+    "Resize seed from width": "Tohumu genişlik ile yeniden boyutlandırma",
+    "Resize seed from height": "Tohumu yükseklik ile yeniden boyutlandırma",
+    "Script": "Scriptler",
     "None": "Hiçbiri",
     "Prompt matrix": "İstem matrisi",
     "Prompts from file or textbox": "Dosyadan veya metin kutusundan istemler",
@@ -80,8 +80,8 @@
     "Var. seed": "Var. tohum",
     "Var. strength": "Var. güç",
     "Steps": "Adımlar",
-    "Prompt S/R": "Hızlı S/R",
-    "Prompt order": "Hızlı sipariş",
+    "Prompt S/R": "İstem S/R",
+    "Prompt order": "İstem sırası",
     "Sampler": "Örnekleyici",
     "Checkpoint name": "Kontrol noktası adı",
     "Hypernetwork": "Hipernetwork",
@@ -176,7 +176,7 @@
     "Source": "Kaynak",
     "Show result images": "Sonuç resimlerini göster",
     "Scale by": "Ölçek tarafından",
-    "Scale to": "Ölçeklendirmek",
+    "Scale to": "Ölçeklendir",
     "Resize": "Yeniden Boyutlandır",
     "Crop to fit": "Sığdırmak için kırpın",
     "Upscaler 2 visibility": "Upscaler 2 görünürlüğü",
@@ -190,16 +190,16 @@
     "directory.": "dizin.",
     "Primary model (A)": "Birincil model (A)",
     "Secondary model (B)": "İkincil model (B)",
-    "Tertiary model (C)": "Tersiyer model (C)",
+    "Tertiary model (C)": "Üçüncü model (C)",
     "Custom Name (Optional)": "Özel Ad (İsteğe Bağlı)",
     "Multiplier (M) - set to 0 to get model A": "Çarpan (M) - A modelini elde etmek için 0'a ayarlayın",
     "Interpolation Method": "İnterpolasyon Yöntemi",
     "Weighted sum": "Ağırlıklı toplam",
     "Add difference": "Farklılık ekleyin",
     "Save as float16": "float16 olarak kaydet",
-    "See": "Bkz.",
+    "See": "Bkz. ",
     "wiki": "wiki",
-    "for detailed explanation.": "ayrıntılı açıklama için.",
+    "for detailed explanation.": " ayrıntılı açıklama için.",
     "Create embedding": "Yerleştirme oluşturma",
     "Create hypernetwork": "Hipernet oluşturun",
     "Preprocess images": "Görüntüleri ön işleme",
@@ -284,7 +284,7 @@
     "Max prompt words for [prompt_words] pattern": "prompt_words] kalıbı için maksimum istem sözcükleri",
     "Upscaling": "Yükseltme",
     "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN yükselticileri için döşeme boyutu. 0 = döşeme yok.",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN yükselticileri için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür dikiş.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN yükselticileri için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür bağlantı hattı.",
     "Tile size for all SwinIR.": "Tüm SwinIR için döşeme boyutu.",
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR için piksel cinsinden döşeme örtüşmesi. Düşük değerler = görünür dikiş.",
     "LDSR processing steps. Lower = faster": "LDSR işleme adımları. Düşük = daha hızlı",
@@ -351,7 +351,7 @@
     "Sampler parameters": "Örnekleyici parametreleri",
     "Hide samplers in user interface (requires restart)": "Kullanıcı arayüzünde örnekleyicileri gizle (yeniden başlatma gerektirir)",
     "eta (noise multiplier) for DDIM": "DDIM için eta (gürültü çarpanı)",
-    "eta (noise multiplier) for ancestral samplers": "atasal örnekleyiciler için eta (gürültü çarpanı)",
+    "eta (noise multiplier) for ancestral samplers": "eta örnekleyiciler için eta (gürültü çarpanı)",
     "img2img DDIM discretize": "img2img DDIM discretize",
     "uniform": "üniforma",
     "quad": "dörtlü",
@@ -360,8 +360,8 @@
     "sigma noise": "sigma gürültüsü",
     "Eta noise seed delta": "Eta gürültü tohum deltası",
     "Request browser notifications": "Tarayıcı bildirimleri isteyin",
-    "Download localization template": "Yerelleştirme şablonunu indirin",
-    "Reload custom script bodies (No ui updates, No restart)": "Özel komut dosyası gövdelerini yeniden yükle (Kullanıcı arayüzü güncellemesi yok, yeniden başlatma yok)",
+    "Download localization template": "Dil şablonunu indirin",
+    "Reload custom script bodies (No ui updates, No restart)": "Kişisel komut dosyası gövdelerini yeniden yükle (Kullanıcı arayüzü güncellemesi yok, yeniden başlatma yok)",
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio'yu yeniden başlatın ve bileşenleri yenileyin (yalnızca Özel Komut Dosyaları, ui.py, js ve css)",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "İstem (oluşturmak için Ctrl+Enter veya Alt+Enter tuşlarına basın)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Negatif istem (oluşturmak için Ctrl+Enter veya Alt+Enter tuşlarına basın)",

From 7e0e4d21d469b2d08af1dd302f6d56388c525ba3 Mon Sep 17 00:00:00 2001
From: Leo Mozoloa <leo.drrty@gmail.com>
Date: Tue, 25 Oct 2022 21:51:22 +0200
Subject: [PATCH 184/321] Prevent people from just saying "latest version"

in the bug report form
---
 .github/ISSUE_TEMPLATE/bug_report.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
index 9c2ff313..ed372f22 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -44,7 +44,7 @@ body:
     id: commit
     attributes:
       label: Commit where the problem happens
-      description: Which commit are you running ? (copy the **Commit hash** shown in the cmd/terminal when you launch the UI)
+      description: Which commit are you running ? (Do not write *Latest version/repo/commit*, as this means nothing and will have changed by the time we read your issue. Rather, copy the **Commit hash** shown in the cmd/terminal when you launch the UI)
     validations:
       required: true
   - type: dropdown

From 366fe8dbd08e88ea96d9017886e7803e2bcb0102 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sat, 22 Oct 2022 01:29:33 +0900
Subject: [PATCH 185/321] Create zh-hans.json

---
 localizations/zh-hans.json | 456 +++++++++++++++++++++++++++++++++++++
 1 file changed, 456 insertions(+)
 create mode 100644 localizations/zh-hans.json

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
new file mode 100644
index 00000000..113df5f7
--- /dev/null
+++ b/localizations/zh-hans.json
@@ -0,0 +1,456 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "载入中...",
+    "view": "查看",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "基于 Gradio 库编译",
+    "Stable Diffusion checkpoint": "Stable Diffusion 模型(ckpt)",
+    "txt2img": "文转图",
+    "img2img": "图转图",
+    "Extras": "后处理",
+    "PNG Info": "PNG 信息",
+    "History": "历史记录",
+    "Checkpoint Merger": "模型(ckpt)合并工具",
+    "Train": "训练",
+    "Settings": "设置",
+    "Prompt": "提示词",
+    "Negative prompt": "否定提示词",
+    "Run": "运行",
+    "Skip": "略过",
+    "Interrupt": "中断",
+    "Generate": "生成",
+    "Style 1": "模版风格 1",
+    "Style 2": "模版风格 2",
+    "Label": "标签",
+    "File": "文件",
+    "Drop File Here": "拖拽文件到这里",
+    "-": "-",
+    "or": "或",
+    "Click to Upload": "点击上传",
+    "Image": "图像",
+    "Check progress": "查看进度",
+    "Check progress (first)": "查看进度 (1st)",
+    "Sampling Steps": "采样迭代步数",
+    "Sampling method": "采样方法",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "宽度",
+    "Height": "高度",
+    "Restore faces": "面部修复",
+    "Tiling": "密铺",
+    "Highres. fix": "高分辨率修复",
+    "Firstpass width": "第一遍宽度",
+    "Firstpass height": "第一遍高度",
+    "Denoising strength": "降噪(模糊)强度",
+    "Batch count": "批量数量",
+    "Batch size": "批量大小",
+    "CFG Scale": "提示词相关性(CFG Scale)",
+    "Seed": "随机种子",
+    "Extra": "额外参数",
+    "Variation seed": "差异随机种子",
+    "Variation strength": "差异强度",
+    "Resize seed from width": "自宽度缩放种子",
+    "Resize seed from height": "自高度缩放种子",
+    "Open for Clip Aesthetic!": "打开美学Clip!",
+    "▼": "▼",
+    "Aesthetic weight": "美学权重",
+    "Aesthetic steps": "美学迭代步数",
+    "Aesthetic learning rate": "美学学习率",
+    "Slerp interpolation": "Slerp 插值",
+    "Aesthetic imgs embedding": "美学图片 embedding",
+    "None": "无",
+    "Aesthetic text for imgs": "描述图片的美学文字",
+    "Slerp angle": "Slerp 角度",
+    "Is negative text": "是否定类文字",
+    "Script": "脚本",
+    "Prompt matrix": "提示词矩阵",
+    "Prompts from file or textbox": "来自文本框或文件载入提示词",
+    "X/Y plot": "X/Y 图表",
+    "Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
+    "Show Textbox": "显示文本框",
+    "File with inputs": "含输入内容的文件",
+    "Prompts": "提示词",
+    "X type": "X轴类型",
+    "Nothing": "无",
+    "Var. seed": "差异种子",
+    "Var. strength": "差异强度",
+    "Steps": "迭代步数",
+    "Prompt S/R": "提示词替换",
+    "Prompt order": "提示词顺序",
+    "Sampler": "采样器",
+    "Checkpoint name": "模型(ckpt)名",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernetwork 强度",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "最小 Sigma",
+    "Sigma max": "最大 Sigma",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip 略过",
+    "Denoising": "降噪",
+    "X values": "X轴数值",
+    "Y type": "Y轴类型",
+    "Y values": "Y轴数值",
+    "Draw legend": "在图表中包括轴标题",
+    "Include Separate Images": "包括独立的图像",
+    "Keep -1 for seeds": "保持随机种子为-1",
+    "Drop Image Here": "拖拽图像到此",
+    "Save": "保存",
+    "Send to img2img": "传送到图转图",
+    "Send to inpaint": "传送到内补绘制",
+    "Send to extras": "传送到后处理",
+    "Make Zip when Save?": "保存时生成压缩档?",
+    "Textbox": "文本框",
+    "Interrogate\nCLIP": "推断提示词\nCLIP",
+    "Interrogate\nDeepBooru": "推断提示词\nDeepBooru",
+    "Inpaint": "内补绘制",
+    "Batch img2img": "批量图转图",
+    "Image for img2img": "图转图的图像",
+    "Image for inpainting with mask": "用在内补绘制蒙版内容的图像",
+    "Mask": "蒙版",
+    "Mask blur": "蒙版模糊",
+    "Mask mode": "蒙版模式",
+    "Draw mask": "绘制蒙版",
+    "Upload mask": "上传蒙版",
+    "Masking mode": "蒙版模式",
+    "Inpaint masked": "内补绘制蒙版内容",
+    "Inpaint not masked": "内补绘制非蒙版内容",
+    "Masked content": "蒙版蒙住的内容",
+    "fill": "填空",
+    "original": "原图",
+    "latent noise": "latent noise",
+    "latent nothing": "latent nothing",
+    "Inpaint at full resolution": "以完整分辨率进行内补绘制",
+    "Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填空像素",
+    "Process images in a directory on the same machine where the server is running.": "在服务器主机上的目录中处理图像",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一个空的文件夹为输出目录而非默认的 output 文件夹为输出目录",
+    "Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用",
+    "Input directory": "输入目录",
+    "Output directory": "输出目录",
+    "Resize mode": "缩放模式",
+    "Just resize": "只缩放",
+    "Crop and resize": "剪裁后缩放",
+    "Resize and fill": "缩放并填空",
+    "img2img alternative test": "图转图的另一种测试",
+    "Loopback": "回送",
+    "Outpainting mk2": "外补绘制第二版",
+    "Poor man's outpainting": "Poor man 的外补绘制",
+    "SD upscale": "SD 超采样",
+    "should be 2 or lower.": "必须小于等于2",
+    "Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为这样做设计的)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `原始提示词`?(包括`否定提示词`)",
+    "Original prompt": "原始提示词",
+    "Original negative prompt": "原始否定提示词",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "覆写 `采样迭代步数` 为 `解码迭代步数`?",
+    "Decode steps": "解码迭代步数",
+    "Override `Denoising strength` to 1?": "覆写 `降噪强度` 为 1?",
+    "Decode CFG scale": "解码提示词相关性(CFG scale)",
+    "Randomness": "随机强度",
+    "Sigma adjustment for finding noise for image": "为寻找图中噪点的 Sigma 调整",
+    "Loops": "循环",
+    "Denoising strength change factor": "降噪强度的调整因数",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，降噪强度：0.8",
+    "Pixels to expand": "拓展的像素",
+    "Outpainting direction": "外填充的方向",
+    "left": "左",
+    "right": "右",
+    "up": "上",
+    "down": "下",
+    "Fall-off exponent (lower=higher detail)": "衰减指数（低=高细节）",
+    "Color variation": "色彩变化",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置密铺大小",
+    "Tile overlap": "密铺重叠像素",
+    "Upscaler": "放大算法",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR_4x": "SwinIR 4x",
+    "Single Image": "单个图像",
+    "Batch Process": "批量处理",
+    "Batch from Directory": "从目录进行批量处理",
+    "Source": "来源",
+    "Show result images": "显示输出图像",
+    "Scale by": "缩放到",
+    "Scale to": "缩放为",
+    "Resize": "缩放",
+    "Crop to fit": "裁剪以适应",
+    "Upscaler 2": "放大算法 2",
+    "Upscaler 2 visibility": "放大算法 2 可见度",
+    "GFPGAN visibility": "GFPGAN 可见度",
+    "CodeFormer visibility": "CodeFormer 可见度",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
+    "Open output directory": "打开输出目录",
+    "Send to txt2img": "输出到文转图",
+    "txt2img history": "文转图历史记录",
+    "img2img history": "图转图历史记录",
+    "extras history": "后处理历史记录",
+    "Renew Page": "刷新页面",
+    "First Page": "第一页",
+    "Prev Page": "上一页",
+    "Page Index": "页数",
+    "Next Page": "下一页",
+    "End Page": "尾页",
+    "number of images to delete consecutively next": "下一批要批量删除的图像数",
+    "Delete": "删除",
+    "Generate Info": "生成信息",
+    "File Name": "文件名",
+    "set_index": "设置索引",
+    "A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的",
+    "checkpoint": "模型(ckpt)",
+    "directory.": "目录",
+    "Primary model (A)": "主要模型 (A)",
+    "Secondary model (B)": "第二模型 (B)",
+    "Tertiary model (C)": "第三模型 (C)",
+    "Custom Name (Optional)": "自定义名字 (可选)",
+    "Multiplier (M) - set to 0 to get model A": "倍率 (M) - 设为 0 等价于模型 A",
+    "Interpolation Method": "插值方法",
+    "Weighted sum": "加权和",
+    "Add difference": "添加差分",
+    "Save as float16": "以 float16 储存",
+    "See": "查看",
+    "wiki": "wiki",
+    "for detailed explanation.": "想看详细解释的话",
+    "Create embedding": "生成 embedding",
+    "Create aesthetic images embedding": "生成美学图片 embedding",
+    "Create hypernetwork": "生成 hypernetwork",
+    "Preprocess images": "图像预处理",
+    "Name": "名称",
+    "Initialization text": "初始化文字",
+    "Number of vectors per token": "每个令牌(token)的向量数",
+    "Overwrite Old Embedding": "覆写旧的 Embedding",
+    "Source directory": "源目录",
+    "Create images embedding": "生成 embedding 图片",
+    "Modules": "模组",
+    "Enter hypernetwork layer structure": "输入 hypernetwork 层结构",
+    "Add layer normalization": "添加层标准化",
+    "Overwrite Old Hypernetwork": "Overwrite Old Hypernetwork",
+    "Select activation function of hypernetwork": "选择 hypernetwork 的激活函数",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "Destination directory": "目标目录",
+    "Existing Caption txt Action": "对已有说明文字的 txt 的行为",
+    "ignore": "无视",
+    "copy": "复制",
+    "prepend": "放前面",
+    "append": "放后面",
+    "Create flipped copies": "生成镜像副本",
+    "Split oversized images into two": "将过大的图像分为两份",
+    "Split oversized images": "分割过大的图像",
+    "Use BLIP for caption": "使用 BLIP 生成说明文字(自然语言描述)",
+    "Use deepbooru for caption": "使用 deepbooru 生成说明文字(tags)",
+    "Split image threshold": "图像分割阈值",
+    "Split image overlap ratio": "分割图像重叠的比率",
+    "Preprocess": "预处理",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "训练 embedding； 必须指定一组具有 1:1 比例图像的目录",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "训练 embedding 或者 hypernetwork； 必须指定一组具有 1:1 比例图像的目录",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Embedding Learning rate": "Embedding 学习率",
+    "Hypernetwork Learning rate": "Hypernetwork 学习率",
+    "Learning rate": "学习率",
+    "Dataset directory": "数据集目录",
+    "Log directory": "日志目录",
+    "Prompt template file": "提示词模版文件",
+    "Max steps": "最大迭代步数",
+    "Save an image to log directory every N steps, 0 to disable": "每 N 步保存一个图像到日志目录，0 表示禁用",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步将 embedding 的副本保存到日志目录，0 表示禁用",
+    "Save images with embedding in PNG chunks": "保存图像並在 PNG 文件中嵌入 embedding 文件",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时从文转图选项卡中读取参数（提示词等）",
+    "Train Hypernetwork": "训练 Hypernetwork",
+    "Train Embedding": "训练 Embedding",
+    "Apply settings": "保存设置",
+    "Saving images/grids": "保存图像/概览图",
+    "Always save all generated images": "始终保存所有生成的图像",
+    "File format for images": "图像的文件格式",
+    "Images filename pattern": "图像文件名格式",
+    "Always save all generated image grids": "始终保存所有生成的概览图",
+    "File format for grids": "概览图的文件格式",
+    "Add extended info (seed, prompt) to filename when saving grid": "保存概览时将扩展信息（种子、提示词）添加到文件名",
+    "Do not save grids consisting of one picture": "不要保存由一张图像组成的概览图",
+    "Prevent empty spots in grid (when set to autodetect)": "防止概览图中出现空白点（设置为自动检测时）",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概览行数； 使用 -1 进行自动检测，使用 0 使其与批量大小相同",
+    "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息作为块保存到 png 文件中",
+    "Create a text file next to every image with generation parameters.": "保存图像时在每个图像旁边创建一个文本文件储存生成参数",
+    "Save a copy of image before doing face restoration.": "在进行面部恢复之前保存图像副本",
+    "Quality for saved jpeg images": "保存的 jpeg 图像的质量",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 图像大于 4MB 或宽高大于 4000，则缩小并保存副本为 JPG",
+    "Use original name for output filename during batch process in extras tab": "在后处理选项卡中的批处理过程中使用原始名称作为输出文件名",
+    "When using 'Save' button, only save a single selected image": "使用“保存”按钮时，只保存一个选定的图像",
+    "Do not add watermark to images": "不要给图像加水印",
+    "Paths for saving": "保存目录",
+    "Output directory for images; if empty, defaults to three directories below": "图像的输出目录； 如果为空，则默认为下面三个目录",
+    "Output directory for txt2img images": "文转图的输出目录",
+    "Output directory for img2img images": "图转图的输出目录",
+    "Output directory for images from extras tab": "后处理的输出目录",
+    "Output directory for grids; if empty, defaults to two directories below": "概览图的输出目录； 如果为空，则默认为以下两个目录",
+    "Output directory for txt2img grids": "文转图概览的输出目录",
+    "Output directory for img2img grids": "图转图概览的输出目录",
+    "Directory for saving images using the Save button": "使用“保存”按钮保存图像的目录",
+    "Saving to a directory": "保存到目录",
+    "Save images to a subdirectory": "将图像保存到子目录",
+    "Save grids to a subdirectory": "将概览图保存到子目录",
+    "When using \"Save\" button, save images to a subdirectory": "使用“保存”按钮时，将图像保存到子目录",
+    "Directory name pattern": "目录名称格式",
+    "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示词数量",
+    "Upscaling": "放大",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的密铺大小。 0 = 不密铺",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "密铺重叠，以 ESRGAN 的像素为单位。 低值 = 可见接缝",
+    "Tile size for all SwinIR.": "所有 SwinIR 的密铺尺寸",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "密铺重叠，以 SwinIR 的像素为单位。 低值 = 可见接缝",
+    "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。 更低 = 更快",
+    "Upscaler for img2img": "图转图的放大器",
+    "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大 latent 空间图像",
+    "Face restoration": "面部修复",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果",
+    "Move face restoration model from VRAM into RAM after processing": "人脸修复处理完成后将人脸修复模型从显存(VRAM)移至内存(RAM)",
+    "System": "系统",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成图像时每秒轮询显存(VRAM)使用情况的次数。 设置为 0 以禁用",
+    "Always print all generation info to standard output": "始终将所有生成信息输出到 standard output (一般为控制台)",
+    "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二个进度条，显示整个作业的进度",
+    "Training": "训练",
+    "Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
+    "Filename word regex": "文件名用词的正则表达式",
+    "Filename join string": "文件名连接用字符",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每个 epoch 中单个输入图像的重复次数； 仅用于显示 epoch 数",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一个包含 loss 的 csv 到日志目录，0 表示禁用",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "缓存在内存(RAM)中的模型(ckpt)",
+    "Hypernetwork strength": "Hypernetwork 强度",
+    "Apply color correction to img2img results to match original colors.": "对图转图结果应用颜色校正以匹配原始颜色",
+    "Save a copy of image before applying color correction to img2img results": "在对图转图结果应用颜色校正之前保存图像副本",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图转图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。 这可能会改变现有的种子。 需要重新启动才能应用",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。 可用于复现旧种子",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器批量生成与生成单个图像时产出相同的图像",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个令牌(token)时，通过从 n 个令牌(token)中的最后一个逗号填空来提高一致性",
+    "Filter NSFW content": "过滤成人内容",
+    "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下",
+    "Interrogate Options": "逆向生成提示词选项",
+    "Interrogate: keep models in VRAM": "逆向生成: 将模型保存在显存(VRAM)中",
+    "Interrogate: use artists from artists.csv": "逆向生成: 使用 artists.csv 中的艺术家",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "逆向生成: 在生成结果中包含与模型标签(tags)相匹配的等级（对基于生成自然语言描述的逆向生成没有影响）",
+    "Interrogate: num_beams for BLIP": "逆向生成: BLIP 的 num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "逆向生成: 最小描述长度（不包括艺术家, 等…）",
+    "Interrogate: maximum description length": "逆向生成: 最大描述长度",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: 文本文件中的最大行数（0 = 无限制）",
+    "Interrogate: deepbooru score threshold": "逆向生成: deepbooru 分数阈值",
+    "Interrogate: deepbooru sort alphabetically": "逆向生成: deepbooru 按字母顺序排序",
+    "use spaces for tags in deepbooru": "在 deepbooru 中为标签使用空格",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "在 deepbooru 中使用转义 (\\) 括号（因此它们用作文字括号而不是强调符号）",
+    "User interface": "用户界面",
+    "Show progressbar": "显示进度条",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 个采样迭代步数显示图像生成进度。 设置 0 禁用",
+    "Show grid in results for web": "在网页的结果中显示概览图",
+    "Do not show any images in results for web": "不在网页的结果中显示任何图像",
+    "Add model hash to generation information": "将模型的哈希值添加到生成信息",
+    "Add model name to generation information": "将模型名称添加到生成信息",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "当从文本读取生成参数到 UI（从 PNG 信息或粘贴文本）时，不要更改选定的模型(ckpt)",
+    "Font for image grids that have text": "有文字的概览图使用的字体",
+    "Enable full page image viewer": "启用整页图像查看器",
+    "Show images zoomed in by default in full page image viewer": "在整页图像查看器中默认放大显示图像",
+    "Show generation progress in window title.": "在窗口标题中显示生成进度",
+    "Quicksettings list": "快速设置列表",
+    "Localization (requires restart)": "本地化（需要重新启动）",
+    "Sampler parameters": "采样器参数",
+    "Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样器（需要重新启动）",
+    "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪声倍增器) ",
+    "eta (noise multiplier) for ancestral samplers": "ancestral 采样器的 eta (噪声倍增器)",
+    "img2img DDIM discretize": "图转图 DDIM 离散化",
+    "uniform": "均勻",
+    "quad": "二阶",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "最小(tmin) sigma",
+    "sigma noise": "sigma 噪声",
+    "Eta noise seed delta": "Eta 噪声种子偏移(noise seed delta)",
+    "Request browser notifications": "请求浏览器通知",
+    "Download localization template": "下载本地化模板",
+    "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体（无 ui 更新，无重启）",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重启 Gradio 及刷新组件（仅限自定义脚本、ui.py、js 和 css）",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "否定提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Add a random artist to the prompt.": "随机添加一个艺术家到提示词中",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "从提示词中读取生成参数，如果提示词为空，则读取上一次的生成参数到用户界面",
+    "Save style": "储存为模版风格",
+    "Apply selected styles to current prompt": "将所选样式应用于当前提示",
+    "Stop processing current image and continue processing.": "停止处理当前图像并继续处理下一个",
+    "Stop processing images and return any results accumulated so far.": "停止处理图像并返回迄今为止累积的任何结果",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格； 模版风格包含正面和负面提示词，并应用于两者",
+    "Do not do anything special": "并没有做什么特别的事情",
+    "Which algorithm to use to produce the image": "使用哪种算法生成图像",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图片，将迭代步数设置为高于 30-40 不会有正面作用",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
+    "Produce an image that can be tiled.": "生成可以密铺的图像",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着上采样，然后在不更改合成的情况下改进其中的细节",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。 设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。 值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
+    "How many batches of images to create": "创建多少批次的图像",
+    "How many image to create in a single batch": "每批创建多少图像",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 图像应在多大程度上服从提示词 - 较低的值会产生更有创意的结果",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和种子生成的图像会得到相同的结果",
+    "Set seed to -1, which will cause a new random number to be used every time": "将种子设置为-1，则每次都会使用一个新的随机数",
+    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的种子，如果它是随机的就有用",
+    "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的种子",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自偏差种子的图片（ancestral 采样器除外，你只是生成了一些东西）",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同种子生成的图片相似的图片",
+    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转imgs embs的特征空间",
+    "Separate values for X axis using commas.": "使用逗号分隔 X 轴的值",
+    "Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录（默认 - log/images）并将生成参数写入 csv 文件",
+    "Open images output directory": "打开图像输出目录",
+    "How much to blur the mask before processing, in pixels.": "处理前要对蒙版进行多强的模糊，以像素为单位",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么",
+    "fill it with colors of the image": "用图像的颜色填充它",
+    "keep whatever was there originally": "保留原来的东西",
+    "fill it with latent space noise": "用 latent 空间的噪声填充它",
+    "fill it with latent space zeroes": "用 latent 空间的零填充它",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做内补绘制，缩小后粘贴到原始图像中",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。 除非高度和宽度匹配，否则你将获得不正确的纵横比",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。 裁剪多出来的部分",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。 用图像的颜色填充空白区域",
+    "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图片上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "对于 SD 超采样，图块之间应该有多少像素重叠。 图块需要重叠才可以让它们合并回一张图片时，没有清晰可见的接缝",
+    "A directory on the same machine where the server is running.": "与服务器主机上的目录",
+    "Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
+    "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "结果 = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "第一个和最后一个数字必须是 1。例:'1, 2, 1'",
+    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "训练应该多快。 低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练",
+    "Path to directory with input images": "带有输入图像的目录",
+    "Path to directory where to write outputs": "进行输出的目录",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像的文件名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果启用此选项，水印将不会添加到生成出来的图像中。 警告：如果你不添加水印，你的行为可能是不符合专业操守的",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像和概览图的子目录: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
+    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络恢复低质量人脸",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正则表达式将用于从文件名中提取单词，并将使用以下选项将它们接合到用于训练的标签文本中。 留空以保持文件名文本不变",
+    "This string will be used to join split words into a single line if the option above is enabled.": "如果启用了上述选项，则此处的字符会用于将拆分的单词接合为同一行",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。 有关设置名称，请参见 modules/shared.py。 需要重新启动才能应用",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
+    "Enable Autocomplete": "开启Tag补全",
+    "Allowed categories for random artists selection when using the Roll button": "使用抽选艺术家按钮时将会随机的艺术家类别",
+    "Roll three": "抽三位出來",
+    "Generate forever": "不停地生成",
+    "Cancel generate forever": "取消不停地生成"
+}

From 5784aae925feed97a6325cd16ccfec0488ccd40f Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sat, 22 Oct 2022 21:58:23 +0900
Subject: [PATCH 186/321] Update zh-hans.json

---
 localizations/zh-hans.json | 75 ++++++++++++++++++++++++--------------
 1 file changed, 47 insertions(+), 28 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 113df5f7..e2e175e2 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -8,15 +8,17 @@
     "view": "查看",
     "api": "api",
     "•": "•",
-    "built with gradio": "基于 Gradio 库编译",
+    "built with gradio": "基于 Gradio 构建",
     "Stable Diffusion checkpoint": "Stable Diffusion 模型(ckpt)",
     "txt2img": "文转图",
     "img2img": "图转图",
     "Extras": "后处理",
     "PNG Info": "PNG 信息",
+    "Image Browser": "图库浏览器",
     "History": "历史记录",
     "Checkpoint Merger": "模型(ckpt)合并工具",
     "Train": "训练",
+    "Create aesthetic embedding": "生成美术风格 embedding",
     "Settings": "设置",
     "Prompt": "提示词",
     "Negative prompt": "否定提示词",
@@ -67,15 +69,15 @@
     "Variation strength": "差异强度",
     "Resize seed from width": "自宽度缩放种子",
     "Resize seed from height": "自高度缩放种子",
-    "Open for Clip Aesthetic!": "打开美学Clip!",
+    "Open for Clip Aesthetic!": "打开美术风格 Clip!",
     "▼": "▼",
-    "Aesthetic weight": "美学权重",
-    "Aesthetic steps": "美学迭代步数",
-    "Aesthetic learning rate": "美学学习率",
+    "Aesthetic weight": "美术风格权重",
+    "Aesthetic steps": "美术风格迭代步数",
+    "Aesthetic learning rate": "美术风格学习率",
     "Slerp interpolation": "Slerp 插值",
-    "Aesthetic imgs embedding": "美学图片 embedding",
+    "Aesthetic imgs embedding": "美术风格图像 embedding",
     "None": "无",
-    "Aesthetic text for imgs": "描述图片的美学文字",
+    "Aesthetic text for imgs": "描述图像的美术风格文字",
     "Slerp angle": "Slerp 角度",
     "Is negative text": "是否定类文字",
     "Script": "脚本",
@@ -134,8 +136,8 @@
     "Masked content": "蒙版蒙住的内容",
     "fill": "填空",
     "original": "原图",
-    "latent noise": "latent noise",
-    "latent nothing": "latent nothing",
+    "latent noise": "潜空间噪声",
+    "latent nothing": "潜空间数值零",
     "Inpaint at full resolution": "以完整分辨率进行内补绘制",
     "Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填空像素",
     "Process images in a directory on the same machine where the server is running.": "在服务器主机上的目录中处理图像",
@@ -151,7 +153,7 @@
     "Loopback": "回送",
     "Outpainting mk2": "外补绘制第二版",
     "Poor man's outpainting": "Poor man 的外补绘制",
-    "SD upscale": "SD 超采样",
+    "SD upscale": "使用 SD 放大(SD upscale)",
     "should be 2 or lower.": "必须小于等于2",
     "Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为这样做设计的)",
     "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `原始提示词`?(包括`否定提示词`)",
@@ -167,7 +169,7 @@
     "Denoising strength change factor": "降噪强度的调整因数",
     "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，降噪强度：0.8",
     "Pixels to expand": "拓展的像素",
-    "Outpainting direction": "外填充的方向",
+    "Outpainting direction": "外补绘制的方向",
     "left": "左",
     "right": "右",
     "up": "上",
@@ -205,6 +207,12 @@
     "img2img history": "图转图历史记录",
     "extras history": "后处理历史记录",
     "Renew Page": "刷新页面",
+    "extras": "后处理",
+    "favorites": "我的收藏",
+    "Load": "载入",
+    "Images directory": "图像路径",
+    "Prev batch": "上一批",
+    "Next batch": "下一批",
     "First Page": "第一页",
     "Prev Page": "上一页",
     "Page Index": "页数",
@@ -214,7 +222,12 @@
     "Delete": "删除",
     "Generate Info": "生成信息",
     "File Name": "文件名",
+    "Collect": "收藏",
+    "Refresh page": "刷新页面",
+    "Date to": "日期至",
+    "Number": "数量",
     "set_index": "设置索引",
+    "Checkbox": "勾选框",
     "A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的",
     "checkpoint": "模型(ckpt)",
     "directory.": "目录",
@@ -229,21 +242,20 @@
     "Save as float16": "以 float16 储存",
     "See": "查看",
     "wiki": "wiki",
-    "for detailed explanation.": "想看详细解释的话",
+    "for detailed explanation.": "以了解详细说明",
     "Create embedding": "生成 embedding",
-    "Create aesthetic images embedding": "生成美学图片 embedding",
+    "Create aesthetic images embedding": "生成美术风格图像 embedding",
     "Create hypernetwork": "生成 hypernetwork",
     "Preprocess images": "图像预处理",
     "Name": "名称",
     "Initialization text": "初始化文字",
-    "Number of vectors per token": "每个令牌(token)的向量数",
+    "Number of vectors per token": "每个 token 的向量数",
     "Overwrite Old Embedding": "覆写旧的 Embedding",
     "Source directory": "源目录",
-    "Create images embedding": "生成 embedding 图片",
-    "Modules": "模组",
+    "Modules": "模块",
     "Enter hypernetwork layer structure": "输入 hypernetwork 层结构",
     "Add layer normalization": "添加层标准化",
-    "Overwrite Old Hypernetwork": "Overwrite Old Hypernetwork",
+    "Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
     "Select activation function of hypernetwork": "选择 hypernetwork 的激活函数",
     "linear": "linear",
     "relu": "relu",
@@ -275,10 +287,12 @@
     "Max steps": "最大迭代步数",
     "Save an image to log directory every N steps, 0 to disable": "每 N 步保存一个图像到日志目录，0 表示禁用",
     "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步将 embedding 的副本保存到日志目录，0 表示禁用",
-    "Save images with embedding in PNG chunks": "保存图像並在 PNG 文件中嵌入 embedding 文件",
+    "Save images with embedding in PNG chunks": "保存图像并在 PNG 文件中嵌入 embedding 文件",
     "Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时从文转图选项卡中读取参数（提示词等）",
     "Train Hypernetwork": "训练 Hypernetwork",
     "Train Embedding": "训练 Embedding",
+    "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
+    "Create images embedding": "生成 embedding 图像",
     "Apply settings": "保存设置",
     "Saving images/grids": "保存图像/概览图",
     "Always save all generated images": "始终保存所有生成的图像",
@@ -320,7 +334,7 @@
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "密铺重叠，以 SwinIR 的像素为单位。 低值 = 可见接缝",
     "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。 更低 = 更快",
     "Upscaler for img2img": "图转图的放大器",
-    "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大 latent 空间图像",
+    "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
     "Face restoration": "面部修复",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果",
     "Move face restoration model from VRAM into RAM after processing": "人脸修复处理完成后将人脸修复模型从显存(VRAM)移至内存(RAM)",
@@ -345,7 +359,7 @@
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。 可用于复现旧种子",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器批量生成与生成单个图像时产出相同的图像",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个令牌(token)时，通过从 n 个令牌(token)中的最后一个逗号填空来提高一致性",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填空来提高一致性",
     "Filter NSFW content": "过滤成人内容",
     "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下",
     "Interrogate Options": "逆向生成提示词选项",
@@ -385,6 +399,11 @@
     "sigma tmin": "最小(tmin) sigma",
     "sigma noise": "sigma 噪声",
     "Eta noise seed delta": "Eta 噪声种子偏移(noise seed delta)",
+    "Images Browser": "图库浏览器",
+    "Preload images at startup": "在启动时预载图像",
+    "Number of pictures displayed on each page": "每页显示的图像数量",
+    "Minimum number of pages per load": "每次加载的最小页数",
+    "Number of grids in each row": "每行显示多少格",
     "Request browser notifications": "请求浏览器通知",
     "Download localization template": "下载本地化模板",
     "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体（无 ui 更新，无重启）",
@@ -400,7 +419,7 @@
     "Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格； 模版风格包含正面和负面提示词，并应用于两者",
     "Do not do anything special": "并没有做什么特别的事情",
     "Which algorithm to use to produce the image": "使用哪种算法生成图像",
-    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图片，将迭代步数设置为高于 30-40 不会有正面作用",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
     "Produce an image that can be tiled.": "生成可以密铺的图像",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着上采样，然后在不更改合成的情况下改进其中的细节",
@@ -412,9 +431,9 @@
     "Set seed to -1, which will cause a new random number to be used every time": "将种子设置为-1，则每次都会使用一个新的随机数",
     "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的种子，如果它是随机的就有用",
     "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的种子",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自偏差种子的图片（ancestral 采样器除外，你只是生成了一些东西）",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同种子生成的图片相似的图片",
-    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转imgs embs的特征空间",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自偏差种子的图像（ancestral 采样器除外，你只是生成了一些东西）",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同种子生成的图像相似的图片",
+    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转图像 embeddings 的特征空间",
     "Separate values for X axis using commas.": "使用逗号分隔 X 轴的值",
     "Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录（默认 - log/images）并将生成参数写入 csv 文件",
@@ -423,15 +442,15 @@
     "What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 处理蒙版区域之前要在蒙版区域内放置什么",
     "fill it with colors of the image": "用图像的颜色填充它",
     "keep whatever was there originally": "保留原来的东西",
-    "fill it with latent space noise": "用 latent 空间的噪声填充它",
-    "fill it with latent space zeroes": "用 latent 空间的零填充它",
+    "fill it with latent space noise": "用潜空间的噪声填充它",
+    "fill it with latent space zeroes": "用潜空间的零填充它",
     "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做内补绘制，缩小后粘贴到原始图像中",
     "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。 除非高度和宽度匹配，否则你将获得不正确的纵横比",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。 裁剪多出来的部分",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。 用图像的颜色填充空白区域",
     "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图片上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "对于 SD 超采样，图块之间应该有多少像素重叠。 图块需要重叠才可以让它们合并回一张图片时，没有清晰可见的接缝",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图像上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "对于 SD 超采样，图块之间应该有多少像素重叠。 图块需要重叠才可以让它们合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
     "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",

From 046bb3b16aac1f7c5fb3c93604c03bd6e74e0b16 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sat, 22 Oct 2022 23:58:01 +0900
Subject: [PATCH 187/321] Update zh-hans.json

- fix translation of Tile / Tiling
- fix translation of Negative prompt
---
 localizations/zh-hans.json | 30 +++++++++++++++---------------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index e2e175e2..1a9fc731 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -21,9 +21,9 @@
     "Create aesthetic embedding": "生成美术风格 embedding",
     "Settings": "设置",
     "Prompt": "提示词",
-    "Negative prompt": "否定提示词",
+    "Negative prompt": "反向提示词",
     "Run": "运行",
-    "Skip": "略过",
+    "Skip": "跳过",
     "Interrupt": "中断",
     "Generate": "生成",
     "Style 1": "模版风格 1",
@@ -55,7 +55,7 @@
     "Width": "宽度",
     "Height": "高度",
     "Restore faces": "面部修复",
-    "Tiling": "密铺",
+    "Tiling": "分块(Tiling)",
     "Highres. fix": "高分辨率修复",
     "Firstpass width": "第一遍宽度",
     "Firstpass height": "第一遍高度",
@@ -156,9 +156,9 @@
     "SD upscale": "使用 SD 放大(SD upscale)",
     "should be 2 or lower.": "必须小于等于2",
     "Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为这样做设计的)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `原始提示词`?(包括`否定提示词`)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `原始提示词`?(包括`反向提示词`)",
     "Original prompt": "原始提示词",
-    "Original negative prompt": "原始否定提示词",
+    "Original negative prompt": "原始反向提示词",
     "Override `Sampling Steps` to the same value as `Decode steps`?": "覆写 `采样迭代步数` 为 `解码迭代步数`?",
     "Decode steps": "解码迭代步数",
     "Override `Denoising strength` to 1?": "覆写 `降噪强度` 为 1?",
@@ -176,8 +176,8 @@
     "down": "下",
     "Fall-off exponent (lower=higher detail)": "衰减指数（低=高细节）",
     "Color variation": "色彩变化",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置密铺大小",
-    "Tile overlap": "密铺重叠像素",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置图块大小(tile size)",
+    "Tile overlap": "图块重叠的像素(Tile overlap)",
     "Upscaler": "放大算法",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
@@ -328,10 +328,10 @@
     "Directory name pattern": "目录名称格式",
     "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示词数量",
     "Upscaling": "放大",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的密铺大小。 0 = 不密铺",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "密铺重叠，以 ESRGAN 的像素为单位。 低值 = 可见接缝",
-    "Tile size for all SwinIR.": "所有 SwinIR 的密铺尺寸",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "密铺重叠，以 SwinIR 的像素为单位。 低值 = 可见接缝",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块大小(Tile size)。 0 = 不分块(no tiling)",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "图块重叠(Tile overlap)，以 ESRGAN 的像素为单位。 低值 = 可见接缝",
+    "Tile size for all SwinIR.": "所有 SwinIR 的图块尺寸(Tile size)",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "图块重叠(Tile overlap)，以 SwinIR 的像素为单位。 低值 = 可见接缝",
     "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。 更低 = 更快",
     "Upscaler for img2img": "图转图的放大器",
     "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
@@ -409,19 +409,19 @@
     "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体（无 ui 更新，无重启）",
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重启 Gradio 及刷新组件（仅限自定义脚本、ui.py、js 和 css）",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
-    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "否定提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示词（按 Ctrl+Enter 或 Alt+Enter 生成）",
     "Add a random artist to the prompt.": "随机添加一个艺术家到提示词中",
     "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "从提示词中读取生成参数，如果提示词为空，则读取上一次的生成参数到用户界面",
     "Save style": "储存为模版风格",
     "Apply selected styles to current prompt": "将所选样式应用于当前提示",
     "Stop processing current image and continue processing.": "停止处理当前图像并继续处理下一个",
     "Stop processing images and return any results accumulated so far.": "停止处理图像并返回迄今为止累积的任何结果",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格； 模版风格包含正面和负面提示词，并应用于两者",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格； 模版风格包含正向和反向提示词，并应用于两者",
     "Do not do anything special": "并没有做什么特别的事情",
     "Which algorithm to use to produce the image": "使用哪种算法生成图像",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
-    "Produce an image that can be tiled.": "生成可以密铺的图像",
+    "Produce an image that can be tiled.": "生成可以分块(Tiling)的图像",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着上采样，然后在不更改合成的情况下改进其中的细节",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。 设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。 值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
     "How many batches of images to create": "创建多少批次的图像",
@@ -450,7 +450,7 @@
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。 用图像的颜色填充空白区域",
     "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图像上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "对于 SD 超采样，图块之间应该有多少像素重叠。 图块需要重叠才可以让它们合并回一张图像时，没有清晰可见的接缝",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "对于 SD 超采样，图块(Tiles)之间应该有多少像素重叠。 图块(Tiles)需要重叠才可以让它们合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
     "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",

From 69576d3398a1cc9a091ce1b24acadc404091ab39 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 03:16:44 +0900
Subject: [PATCH 188/321] Update zh-hans.json

- unify the translation of upscale / upscaler
- unify the translation of seed / random seed
- correct images embedding's translation
---
 localizations/zh-hans.json | 42 +++++++++++++++++++-------------------
 1 file changed, 21 insertions(+), 21 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 1a9fc731..1bce1dae 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -67,19 +67,19 @@
     "Extra": "额外参数",
     "Variation seed": "差异随机种子",
     "Variation strength": "差异强度",
-    "Resize seed from width": "自宽度缩放种子",
-    "Resize seed from height": "自高度缩放种子",
+    "Resize seed from width": "自宽度缩放随机种子",
+    "Resize seed from height": "自高度缩放随机种子",
     "Open for Clip Aesthetic!": "打开美术风格 Clip!",
     "▼": "▼",
     "Aesthetic weight": "美术风格权重",
     "Aesthetic steps": "美术风格迭代步数",
     "Aesthetic learning rate": "美术风格学习率",
     "Slerp interpolation": "Slerp 插值",
-    "Aesthetic imgs embedding": "美术风格图像 embedding",
+    "Aesthetic imgs embedding": "美术风格 图类 embedding",
     "None": "无",
-    "Aesthetic text for imgs": "描述图像的美术风格文字",
+    "Aesthetic text for imgs": "用于 图类 embedding 的美术风格描述",
     "Slerp angle": "Slerp 角度",
-    "Is negative text": "是否定类文字",
+    "Is negative text": "属于否定类文字",
     "Script": "脚本",
     "Prompt matrix": "提示词矩阵",
     "Prompts from file or textbox": "来自文本框或文件载入提示词",
@@ -90,7 +90,7 @@
     "Prompts": "提示词",
     "X type": "X轴类型",
     "Nothing": "无",
-    "Var. seed": "差异种子",
+    "Var. seed": "差异随机种子",
     "Var. strength": "差异强度",
     "Steps": "迭代步数",
     "Prompt S/R": "提示词替换",
@@ -244,7 +244,7 @@
     "wiki": "wiki",
     "for detailed explanation.": "以了解详细说明",
     "Create embedding": "生成 embedding",
-    "Create aesthetic images embedding": "生成美术风格图像 embedding",
+    "Create aesthetic images embedding": "生成美术风格 图类 embedding",
     "Create hypernetwork": "生成 hypernetwork",
     "Preprocess images": "图像预处理",
     "Name": "名称",
@@ -292,7 +292,7 @@
     "Train Hypernetwork": "训练 Hypernetwork",
     "Train Embedding": "训练 Embedding",
     "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
-    "Create images embedding": "生成 embedding 图像",
+    "Create images embedding": "生成 图类 embedding",
     "Apply settings": "保存设置",
     "Saving images/grids": "保存图像/概览图",
     "Always save all generated images": "始终保存所有生成的图像",
@@ -300,7 +300,7 @@
     "Images filename pattern": "图像文件名格式",
     "Always save all generated image grids": "始终保存所有生成的概览图",
     "File format for grids": "概览图的文件格式",
-    "Add extended info (seed, prompt) to filename when saving grid": "保存概览时将扩展信息（种子、提示词）添加到文件名",
+    "Add extended info (seed, prompt) to filename when saving grid": "保存概览时将扩展信息（随机种子、提示词）添加到文件名",
     "Do not save grids consisting of one picture": "不要保存由一张图像组成的概览图",
     "Prevent empty spots in grid (when set to autodetect)": "防止概览图中出现空白点（设置为自动检测时）",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概览行数； 使用 -1 进行自动检测，使用 0 使其与批量大小相同",
@@ -333,7 +333,7 @@
     "Tile size for all SwinIR.": "所有 SwinIR 的图块尺寸(Tile size)",
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "图块重叠(Tile overlap)，以 SwinIR 的像素为单位。 低值 = 可见接缝",
     "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。 更低 = 更快",
-    "Upscaler for img2img": "图转图的放大器",
+    "Upscaler for img2img": "图转图的放大算法",
     "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
     "Face restoration": "面部修复",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果",
@@ -355,9 +355,9 @@
     "Apply color correction to img2img results to match original colors.": "对图转图结果应用颜色校正以匹配原始颜色",
     "Save a copy of image before applying color correction to img2img results": "在对图转图结果应用颜色校正之前保存图像副本",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图转图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。 这可能会改变现有的种子。 需要重新启动才能应用",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。 这可能会改变现有的随机种子。 需要重新启动才能应用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。 可用于复现旧种子",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。 可用于复现旧随机种子",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器批量生成与生成单个图像时产出相同的图像",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填空来提高一致性",
     "Filter NSFW content": "过滤成人内容",
@@ -422,18 +422,18 @@
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
     "Produce an image that can be tiled.": "生成可以分块(Tiling)的图像",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着上采样，然后在不更改合成的情况下改进其中的细节",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着放大图片，然后在不更改构图的情况下改进其中的细节",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。 设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。 值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
     "How many batches of images to create": "创建多少批次的图像",
     "How many image to create in a single batch": "每批创建多少图像",
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 图像应在多大程度上服从提示词 - 较低的值会产生更有创意的结果",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和种子生成的图像会得到相同的结果",
-    "Set seed to -1, which will cause a new random number to be used every time": "将种子设置为-1，则每次都会使用一个新的随机数",
-    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的种子，如果它是随机的就有用",
-    "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的种子",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自偏差种子的图像（ancestral 采样器除外，你只是生成了一些东西）",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同种子生成的图像相似的图片",
-    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转图像 embeddings 的特征空间",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和随机种子生成的图像会得到相同的结果",
+    "Set seed to -1, which will cause a new random number to be used every time": "将随机种子设置为-1，则每次都会使用一个新的随机数",
+    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的随机种子，如果它是随机出来的话就有用",
+    "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的随机种子",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自差异随机种子的图像（ancestral 采样器除外，你只是单纯地生成了一些东西）",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同随机种子生成的图像相似的图片",
+    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转 图类 embeddings 的特征空间",
     "Separate values for X axis using commas.": "使用逗号分隔 X 轴的值",
     "Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录（默认 - log/images）并将生成参数写入 csv 文件",
@@ -450,7 +450,7 @@
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。 用图像的颜色填充空白区域",
     "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图像上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "对于 SD 超采样，图块(Tiles)之间应该有多少像素重叠。 图块(Tiles)需要重叠才可以让它们合并回一张图像时，没有清晰可见的接缝",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。 图块之间(Tiles)需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
     "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",

From 7e6a6266ad7ec77c0e40a0f39e794532cd2c2649 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 05:35:12 +0900
Subject: [PATCH 189/321] Update zh-hans.json

- update to latest
---
 localizations/zh-hans.json | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 1bce1dae..2d5b4798 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -251,15 +251,18 @@
     "Initialization text": "初始化文字",
     "Number of vectors per token": "每个 token 的向量数",
     "Overwrite Old Embedding": "覆写旧的 Embedding",
-    "Source directory": "源目录",
     "Modules": "模块",
     "Enter hypernetwork layer structure": "输入 hypernetwork 层结构",
-    "Add layer normalization": "添加层标准化",
-    "Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
     "Select activation function of hypernetwork": "选择 hypernetwork 的激活函数",
     "linear": "linear",
     "relu": "relu",
     "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "添加层标准化",
+    "Use dropout": "采用 dropout 防止过拟合",
+    "Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
+    "Source directory": "源目录",
     "Destination directory": "目标目录",
     "Existing Caption txt Action": "对已有说明文字的 txt 的行为",
     "ignore": "无视",
@@ -377,6 +380,7 @@
     "User interface": "用户界面",
     "Show progressbar": "显示进度条",
     "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 个采样迭代步数显示图像生成进度。 设置 0 禁用",
+    "Show previews of all images generated in a batch as a grid": "以网格的形式预览所有批量生成出来的图片",
     "Show grid in results for web": "在网页的结果中显示概览图",
     "Do not show any images in results for web": "不在网页的结果中显示任何图像",
     "Add model hash to generation information": "将模型的哈希值添加到生成信息",
@@ -404,6 +408,8 @@
     "Number of pictures displayed on each page": "每页显示的图像数量",
     "Minimum number of pages per load": "每次加载的最小页数",
     "Number of grids in each row": "每行显示多少格",
+    "Wildcards": "通配符",
+    "Use same seed for all images": "为所有图像使用同一个随机种子",
     "Request browser notifications": "请求浏览器通知",
     "Download localization template": "下载本地化模板",
     "Reload custom script bodies (No ui updates, No restart)": "重新加载自定义脚本主体（无 ui 更新，无重启）",
@@ -453,6 +459,7 @@
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。 图块之间(Tiles)需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
+    "Input images directory": "输入图像目录",
     "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "结果 = A + (B - C) * M",
     "1st and last digit must be 1. ex:'1, 2, 1'": "第一个和最后一个数字必须是 1。例:'1, 2, 1'",

From e05a4a90f21bf2246f805a38286be316acde7a52 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 17:58:09 +0800
Subject: [PATCH 190/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 2d5b4798..9d750ecb 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -30,7 +30,7 @@
     "Style 2": "模版风格 2",
     "Label": "标签",
     "File": "文件",
-    "Drop File Here": "拖拽文件到这里",
+    "Drop File Here": "拖拽文件到此",
     "-": "-",
     "or": "或",
     "Click to Upload": "点击上传",

From db23be8bcdec82ea26681c12ac6cd076164b47c8 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 17:59:09 +0800
Subject: [PATCH 191/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 9d750ecb..698e8694 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -202,7 +202,7 @@
     "CodeFormer visibility": "CodeFormer 可见度",
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
     "Open output directory": "打开输出目录",
-    "Send to txt2img": "输出到文转图",
+    "Send to txt2img": "传送到文转图",
     "txt2img history": "文转图历史记录",
     "img2img history": "图转图历史记录",
     "extras history": "后处理历史记录",

From e125f1cd2f8ab71b2caaa16bbd24aaf2a3cb470e Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 18:07:12 +0800
Subject: [PATCH 192/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 698e8694..91e745c4 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -119,8 +119,8 @@
     "Send to extras": "传送到后处理",
     "Make Zip when Save?": "保存时生成压缩档?",
     "Textbox": "文本框",
-    "Interrogate\nCLIP": "推断提示词\nCLIP",
-    "Interrogate\nDeepBooru": "推断提示词\nDeepBooru",
+    "Interrogate\nCLIP": "CLIP\n逆向生成提示词",
+    "Interrogate\nDeepBooru": "DeepBooru\n逆向生成提示词",
     "Inpaint": "内补绘制",
     "Batch img2img": "批量图转图",
     "Image for img2img": "图转图的图像",

From e34653eac03aff6041fd3c32ec324b8a9d835cee Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 19:15:17 +0900
Subject: [PATCH 193/321] Update zh-hans.json

- fix according to https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/3348#issuecomment-1287923525
---
 localizations/zh-hans.json | 112 ++++++++++++++++++-------------------
 1 file changed, 56 insertions(+), 56 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 91e745c4..3fbcac6b 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -24,7 +24,7 @@
     "Negative prompt": "反向提示词",
     "Run": "运行",
     "Skip": "跳过",
-    "Interrupt": "中断",
+    "Interrupt": "中止",
     "Generate": "生成",
     "Style 1": "模版风格 1",
     "Style 2": "模版风格 2",
@@ -57,11 +57,11 @@
     "Restore faces": "面部修复",
     "Tiling": "分块(Tiling)",
     "Highres. fix": "高分辨率修复",
-    "Firstpass width": "第一遍宽度",
-    "Firstpass height": "第一遍高度",
+    "Firstpass width": "第一遍的宽度",
+    "Firstpass height": "第一遍的高度",
     "Denoising strength": "降噪(模糊)强度",
-    "Batch count": "批量数量",
-    "Batch size": "批量大小",
+    "Batch count": "批次",
+    "Batch size": "批量",
     "CFG Scale": "提示词相关性(CFG Scale)",
     "Seed": "随机种子",
     "Extra": "额外参数",
@@ -75,9 +75,9 @@
     "Aesthetic steps": "美术风格迭代步数",
     "Aesthetic learning rate": "美术风格学习率",
     "Slerp interpolation": "Slerp 插值",
-    "Aesthetic imgs embedding": "美术风格 图类 embedding",
+    "Aesthetic imgs embedding": "美术风格图集 embedding",
     "None": "无",
-    "Aesthetic text for imgs": "用于 图类 embedding 的美术风格描述",
+    "Aesthetic text for imgs": "用于图集的美术风格描述",
     "Slerp angle": "Slerp 角度",
     "Is negative text": "属于否定类文字",
     "Script": "脚本",
@@ -104,7 +104,7 @@
     "Sigma max": "最大 Sigma",
     "Sigma noise": "Sigma noise",
     "Eta": "Eta",
-    "Clip skip": "Clip 略过",
+    "Clip skip": "Clip 跳过",
     "Denoising": "降噪",
     "X values": "X轴数值",
     "Y type": "Y轴类型",
@@ -147,28 +147,28 @@
     "Output directory": "输出目录",
     "Resize mode": "缩放模式",
     "Just resize": "只缩放",
-    "Crop and resize": "剪裁后缩放",
+    "Crop and resize": "缩放并剪裁",
     "Resize and fill": "缩放并填空",
     "img2img alternative test": "图转图的另一种测试",
     "Loopback": "回送",
     "Outpainting mk2": "外补绘制第二版",
-    "Poor man's outpainting": "Poor man 的外补绘制",
+    "Poor man's outpainting": "效果稍差的外补绘制",
     "SD upscale": "使用 SD 放大(SD upscale)",
     "should be 2 or lower.": "必须小于等于2",
     "Override `Sampling method` to Euler?(this method is built for it)": "覆写 `采样方法` 为 Euler?(这个方法就是为这样做设计的)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `原始提示词`?(包括`反向提示词`)",
-    "Original prompt": "原始提示词",
-    "Original negative prompt": "原始反向提示词",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆写 `提示词` 为 `初始提示词`?(包括`反向提示词`)",
+    "Original prompt": "初始提示词",
+    "Original negative prompt": "初始反向提示词",
     "Override `Sampling Steps` to the same value as `Decode steps`?": "覆写 `采样迭代步数` 为 `解码迭代步数`?",
     "Decode steps": "解码迭代步数",
     "Override `Denoising strength` to 1?": "覆写 `降噪强度` 为 1?",
     "Decode CFG scale": "解码提示词相关性(CFG scale)",
-    "Randomness": "随机强度",
+    "Randomness": "随机度",
     "Sigma adjustment for finding noise for image": "为寻找图中噪点的 Sigma 调整",
     "Loops": "循环",
-    "Denoising strength change factor": "降噪强度的调整因数",
+    "Denoising strength change factor": "降噪强度的调整系数",
     "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，降噪强度：0.8",
-    "Pixels to expand": "拓展的像素",
+    "Pixels to expand": "拓展的像素数",
     "Outpainting direction": "外补绘制的方向",
     "left": "左",
     "right": "右",
@@ -192,8 +192,8 @@
     "Batch from Directory": "从目录进行批量处理",
     "Source": "来源",
     "Show result images": "显示输出图像",
-    "Scale by": "缩放到",
-    "Scale to": "缩放为",
+    "Scale by": "等比缩放",
+    "Scale to": "指定尺寸缩放",
     "Resize": "缩放",
     "Crop to fit": "裁剪以适应",
     "Upscaler 2": "放大算法 2",
@@ -208,9 +208,9 @@
     "extras history": "后处理历史记录",
     "Renew Page": "刷新页面",
     "extras": "后处理",
-    "favorites": "我的收藏",
+    "favorites": "收藏夹",
     "Load": "载入",
-    "Images directory": "图像路径",
+    "Images directory": "图像目录",
     "Prev batch": "上一批",
     "Next batch": "下一批",
     "First Page": "第一页",
@@ -218,7 +218,7 @@
     "Page Index": "页数",
     "Next Page": "下一页",
     "End Page": "尾页",
-    "number of images to delete consecutively next": "下一批要批量删除的图像数",
+    "number of images to delete consecutively next": "接下来要连续删除的图像数",
     "Delete": "删除",
     "Generate Info": "生成信息",
     "File Name": "文件名",
@@ -244,7 +244,7 @@
     "wiki": "wiki",
     "for detailed explanation.": "以了解详细说明",
     "Create embedding": "生成 embedding",
-    "Create aesthetic images embedding": "生成美术风格 图类 embedding",
+    "Create aesthetic images embedding": "生成美术风格图集 embedding",
     "Create hypernetwork": "生成 hypernetwork",
     "Preprocess images": "图像预处理",
     "Name": "名称",
@@ -295,7 +295,7 @@
     "Train Hypernetwork": "训练 Hypernetwork",
     "Train Embedding": "训练 Embedding",
     "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
-    "Create images embedding": "生成 图类 embedding",
+    "Create images embedding": "生成图集 embedding",
     "Apply settings": "保存设置",
     "Saving images/grids": "保存图像/概览图",
     "Always save all generated images": "始终保存所有生成的图像",
@@ -309,13 +309,13 @@
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概览行数； 使用 -1 进行自动检测，使用 0 使其与批量大小相同",
     "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息作为块保存到 png 文件中",
     "Create a text file next to every image with generation parameters.": "保存图像时在每个图像旁边创建一个文本文件储存生成参数",
-    "Save a copy of image before doing face restoration.": "在进行面部恢复之前保存图像副本",
+    "Save a copy of image before doing face restoration.": "在进行面部修复之前保存图像副本",
     "Quality for saved jpeg images": "保存的 jpeg 图像的质量",
     "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 图像大于 4MB 或宽高大于 4000，则缩小并保存副本为 JPG",
-    "Use original name for output filename during batch process in extras tab": "在后处理选项卡中的批处理过程中使用原始名称作为输出文件名",
+    "Use original name for output filename during batch process in extras tab": "在后处理选项卡中的批量处理过程中使用原始名称作为输出文件名",
     "When using 'Save' button, only save a single selected image": "使用“保存”按钮时，只保存一个选定的图像",
     "Do not add watermark to images": "不要给图像加水印",
-    "Paths for saving": "保存目录",
+    "Paths for saving": "保存路径",
     "Output directory for images; if empty, defaults to three directories below": "图像的输出目录； 如果为空，则默认为下面三个目录",
     "Output directory for txt2img images": "文转图的输出目录",
     "Output directory for img2img images": "图转图的输出目录",
@@ -331,25 +331,25 @@
     "Directory name pattern": "目录名称格式",
     "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示词数量",
     "Upscaling": "放大",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块大小(Tile size)。 0 = 不分块(no tiling)",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "图块重叠(Tile overlap)，以 ESRGAN 的像素为单位。 低值 = 可见接缝",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块大小(Tile size)。0 = 不分块(no tiling)",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "图块重叠(Tile overlap)，以 ESRGAN 的像素为单位。低值 = 可见接缝",
     "Tile size for all SwinIR.": "所有 SwinIR 的图块尺寸(Tile size)",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "图块重叠(Tile overlap)，以 SwinIR 的像素为单位。 低值 = 可见接缝",
-    "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。 更低 = 更快",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "图块重叠(Tile overlap)，以 SwinIR 的像素为单位。低值 = 可见接缝",
+    "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。更低 = 更快",
     "Upscaler for img2img": "图转图的放大算法",
     "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
     "Face restoration": "面部修复",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果",
-    "Move face restoration model from VRAM into RAM after processing": "人脸修复处理完成后将人脸修复模型从显存(VRAM)移至内存(RAM)",
+    "Move face restoration model from VRAM into RAM after processing": "面部修复处理完成后将面部修复模型从显存(VRAM)移至内存(RAM)",
     "System": "系统",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成图像时每秒轮询显存(VRAM)使用情况的次数。 设置为 0 以禁用",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成图像时每秒轮询显存(VRAM)使用情况的次数。设置为 0 以禁用",
     "Always print all generation info to standard output": "始终将所有生成信息输出到 standard output (一般为控制台)",
     "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二个进度条，显示整个作业的进度",
     "Training": "训练",
     "Unload VAE and CLIP from VRAM when training": "训练时从显存(VRAM)中取消 VAE 和 CLIP 的加载",
     "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "训练时将 VAE 和 CLIP 从显存(VRAM)移放到内存(RAM)，节省显存(VRAM)",
     "Filename word regex": "文件名用词的正则表达式",
-    "Filename join string": "文件名连接用字符",
+    "Filename join string": "文件名连接用字符串",
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每个 epoch 中单个输入图像的重复次数； 仅用于显示 epoch 数",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一个包含 loss 的 csv 到日志目录，0 表示禁用",
     "Stable Diffusion": "Stable Diffusion",
@@ -358,9 +358,9 @@
     "Apply color correction to img2img results to match original colors.": "对图转图结果应用颜色校正以匹配原始颜色",
     "Save a copy of image before applying color correction to img2img results": "在对图转图结果应用颜色校正之前保存图像副本",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图转图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。 这可能会改变现有的随机种子。 需要重新启动才能应用",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。需要重新启动才能应用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。 可用于复现旧随机种子",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器批量生成与生成单个图像时产出相同的图像",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填空来提高一致性",
     "Filter NSFW content": "过滤成人内容",
@@ -379,8 +379,8 @@
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "在 deepbooru 中使用转义 (\\) 括号（因此它们用作文字括号而不是强调符号）",
     "User interface": "用户界面",
     "Show progressbar": "显示进度条",
-    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 个采样迭代步数显示图像生成进度。 设置 0 禁用",
-    "Show previews of all images generated in a batch as a grid": "以网格的形式预览所有批量生成出来的图片",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 个采样迭代步数显示图像生成进度。设置 0 禁用",
+    "Show previews of all images generated in a batch as a grid": "以网格的形式预览所有批量生成出来的图像",
     "Show grid in results for web": "在网页的结果中显示概览图",
     "Do not show any images in results for web": "不在网页的结果中显示任何图像",
     "Add model hash to generation information": "将模型的哈希值添加到生成信息",
@@ -423,13 +423,13 @@
     "Stop processing current image and continue processing.": "停止处理当前图像并继续处理下一个",
     "Stop processing images and return any results accumulated so far.": "停止处理图像并返回迄今为止累积的任何结果",
     "Style to apply; styles have components for both positive and negative prompts and apply to both": "要应用的模版风格； 模版风格包含正向和反向提示词，并应用于两者",
-    "Do not do anything special": "并没有做什么特别的事情",
+    "Do not do anything special": "什么都不做",
     "Which algorithm to use to produce the image": "使用哪种算法生成图像",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
     "Produce an image that can be tiled.": "生成可以分块(Tiling)的图像",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着放大图片，然后在不更改构图的情况下改进其中的细节",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。 设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。 值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着放大图像，然后在不更改构图的情况下改进其中的细节",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
     "How many batches of images to create": "创建多少批次的图像",
     "How many image to create in a single batch": "每批创建多少图像",
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 图像应在多大程度上服从提示词 - 较低的值会产生更有创意的结果",
@@ -437,9 +437,9 @@
     "Set seed to -1, which will cause a new random number to be used every time": "将随机种子设置为-1，则每次都会使用一个新的随机数",
     "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的随机种子，如果它是随机出来的话就有用",
     "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的随机种子",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。 设为 0 时，将没有效果。 设为 1 时，你将获得完全产自差异随机种子的图像（ancestral 采样器除外，你只是单纯地生成了一些东西）",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。设为 0 时，将没有效果。设为 1 时，你将获得完全产自差异随机种子的图像（ancestral 采样器除外，你只是单纯地生成了一些东西）",
     "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同随机种子生成的图像相似的图片",
-    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转 图类 embeddings 的特征空间",
+    "This text is used to rotate the feature space of the imgs embs": "此文本用于旋转图集 embeddings 的特征空间",
     "Separate values for X axis using commas.": "使用逗号分隔 X 轴的值",
     "Separate values for Y axis using commas.": "使用逗号分隔 Y 轴的值",
     "Write image to a directory (default - log/images) and generation parameters into csv file.": "将图像写入目录（默认 - log/images）并将生成参数写入 csv 文件",
@@ -451,29 +451,29 @@
     "fill it with latent space noise": "用潜空间的噪声填充它",
     "fill it with latent space zeroes": "用潜空间的零填充它",
     "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "将蒙版区域放大到目标分辨率，做内补绘制，缩小后粘贴到原始图像中",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。 除非高度和宽度匹配，否则你将获得不正确的纵横比",
-    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。 裁剪多出来的部分",
-    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。 用图像的颜色填充空白区域",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
     "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。 <1 表示减少多样性，因此你的这一组图将集中在固定的图像上。 >1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。 图块之间(Tiles)需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块之间(Tiles)需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
-    "Leave blank to save images to the default path.": "留空以将图像保存到默认目录",
+    "Leave blank to save images to the default path.": "留空以将图像保存到默认路径",
     "Input images directory": "输入图像目录",
     "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "结果 = A + (B - C) * M",
     "1st and last digit must be 1. ex:'1, 2, 1'": "第一个和最后一个数字必须是 1。例:'1, 2, 1'",
-    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "训练应该多快。 低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练",
-    "Path to directory with input images": "带有输入图像的目录",
-    "Path to directory where to write outputs": "进行输出的目录",
+    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "训练应该多快。低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练",
+    "Path to directory with input images": "带有输入图像的路径",
+    "Path to directory where to write outputs": "进行输出的路径",
     "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像的文件名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果启用此选项，水印将不会添加到生成出来的图像中。 警告：如果你不添加水印，你的行为可能是不符合专业操守的",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果启用此选项，水印将不会添加到生成出来的图像中。警告：如果你不添加水印，你的行为可能是不符合专业操守的",
     "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像和概览图的子目录: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
-    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络恢复低质量人脸",
-    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正则表达式将用于从文件名中提取单词，并将使用以下选项将它们接合到用于训练的标签文本中。 留空以保持文件名文本不变",
+    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神经网络修复低质量面部",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正则表达式将用于从文件名中提取单词，并将使用以下选项将它们接合到用于训练的标签文本中。留空以保持文件名文本不变",
     "This string will be used to join split words into a single line if the option above is enabled.": "如果启用了上述选项，则此处的字符会用于将拆分的单词接合为同一行",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。 有关设置名称，请参见 modules/shared.py。 需要重新启动才能应用",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "设置名称列表，以逗号分隔，设置应转到顶部的快速访问栏，而不是通常的设置选项卡。有关设置名称，请参见 modules/shared.py。需要重新启动才能应用",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果这个值不为零，它将被添加到随机种子中，并在使用带有 Eta 的采样器时用于初始化随机噪声。你可以使用它来产生更多的图像变化，或者你可以使用它来模仿其他软件生成的图像，如果你知道你在做什么",
     "Enable Autocomplete": "开启Tag补全",
     "Allowed categories for random artists selection when using the Roll button": "使用抽选艺术家按钮时将会随机的艺术家类别",
     "Roll three": "抽三位出來",

From 168aa1cf67440ecc9134c9f81daf800558f67135 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Sun, 23 Oct 2022 20:11:40 +0900
Subject: [PATCH 194/321] Update zh-hans.json

---
 localizations/zh-hans.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 3fbcac6b..9d20fa17 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -77,9 +77,9 @@
     "Slerp interpolation": "Slerp 插值",
     "Aesthetic imgs embedding": "美术风格图集 embedding",
     "None": "无",
-    "Aesthetic text for imgs": "用于图集的美术风格描述",
+    "Aesthetic text for imgs": "该图集的美术风格描述",
     "Slerp angle": "Slerp 角度",
-    "Is negative text": "属于否定类文字",
+    "Is negative text": "是反向提示词",
     "Script": "脚本",
     "Prompt matrix": "提示词矩阵",
     "Prompts from file or textbox": "来自文本框或文件载入提示词",

From c7e000bedde0d8fbf50ecd7601cb8344f0ec2202 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 04:07:28 +0900
Subject: [PATCH 195/321] Update zh-hans.json

---
 localizations/zh-hans.json | 80 +++++++++++++++++++-------------------
 1 file changed, 40 insertions(+), 40 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 9d20fa17..6276f573 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -10,8 +10,8 @@
     "•": "•",
     "built with gradio": "基于 Gradio 构建",
     "Stable Diffusion checkpoint": "Stable Diffusion 模型(ckpt)",
-    "txt2img": "文转图",
-    "img2img": "图转图",
+    "txt2img": "文生图",
+    "img2img": "图生图",
     "Extras": "后处理",
     "PNG Info": "PNG 信息",
     "Image Browser": "图库浏览器",
@@ -82,7 +82,7 @@
     "Is negative text": "是反向提示词",
     "Script": "脚本",
     "Prompt matrix": "提示词矩阵",
-    "Prompts from file or textbox": "来自文本框或文件载入提示词",
+    "Prompts from file or textbox": "从文本框或文件载入提示词",
     "X/Y plot": "X/Y 图表",
     "Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
     "Show Textbox": "显示文本框",
@@ -114,16 +114,16 @@
     "Keep -1 for seeds": "保持随机种子为-1",
     "Drop Image Here": "拖拽图像到此",
     "Save": "保存",
-    "Send to img2img": "传送到图转图",
-    "Send to inpaint": "传送到内补绘制",
-    "Send to extras": "传送到后处理",
-    "Make Zip when Save?": "保存时生成压缩档?",
+    "Send to img2img": ">> 图生图",
+    "Send to inpaint": ">> 内补绘制",
+    "Send to extras": ">> 后处理",
+    "Make Zip when Save?": "保存时生成zip压缩文件?",
     "Textbox": "文本框",
-    "Interrogate\nCLIP": "CLIP\n逆向生成提示词",
-    "Interrogate\nDeepBooru": "DeepBooru\n逆向生成提示词",
+    "Interrogate\nCLIP": "CLIP\n反推提示词",
+    "Interrogate\nDeepBooru": "DeepBooru\n反推提示词",
     "Inpaint": "内补绘制",
-    "Batch img2img": "批量图转图",
-    "Image for img2img": "图转图的图像",
+    "Batch img2img": "批量图生图",
+    "Image for img2img": "图生图的图像",
     "Image for inpainting with mask": "用在内补绘制蒙版内容的图像",
     "Mask": "蒙版",
     "Mask blur": "蒙版模糊",
@@ -149,7 +149,7 @@
     "Just resize": "只缩放",
     "Crop and resize": "缩放并剪裁",
     "Resize and fill": "缩放并填空",
-    "img2img alternative test": "图转图的另一种测试",
+    "img2img alternative test": "图生图的另一种测试",
     "Loopback": "回送",
     "Outpainting mk2": "外补绘制第二版",
     "Poor man's outpainting": "效果稍差的外补绘制",
@@ -176,7 +176,7 @@
     "down": "下",
     "Fall-off exponent (lower=higher detail)": "衰减指数（低=高细节）",
     "Color variation": "色彩变化",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置图块大小(tile size)",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置图块尺寸(tile size)",
     "Tile overlap": "图块重叠的像素(Tile overlap)",
     "Upscaler": "放大算法",
     "Lanczos": "Lanczos",
@@ -202,9 +202,9 @@
     "CodeFormer visibility": "CodeFormer 可见度",
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
     "Open output directory": "打开输出目录",
-    "Send to txt2img": "传送到文转图",
-    "txt2img history": "文转图历史记录",
-    "img2img history": "图转图历史记录",
+    "Send to txt2img": ">> 文生图",
+    "txt2img history": "文生图历史记录",
+    "img2img history": "图生图历史记录",
     "extras history": "后处理历史记录",
     "Renew Page": "刷新页面",
     "extras": "后处理",
@@ -291,7 +291,7 @@
     "Save an image to log directory every N steps, 0 to disable": "每 N 步保存一个图像到日志目录，0 表示禁用",
     "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步将 embedding 的副本保存到日志目录，0 表示禁用",
     "Save images with embedding in PNG chunks": "保存图像并在 PNG 文件中嵌入 embedding 文件",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时从文转图选项卡中读取参数（提示词等）",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "进行预览时从文生图选项卡中读取参数（提示词等）",
     "Train Hypernetwork": "训练 Hypernetwork",
     "Train Embedding": "训练 Embedding",
     "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
@@ -317,12 +317,12 @@
     "Do not add watermark to images": "不要给图像加水印",
     "Paths for saving": "保存路径",
     "Output directory for images; if empty, defaults to three directories below": "图像的输出目录； 如果为空，则默认为下面三个目录",
-    "Output directory for txt2img images": "文转图的输出目录",
-    "Output directory for img2img images": "图转图的输出目录",
+    "Output directory for txt2img images": "文生图的输出目录",
+    "Output directory for img2img images": "图生图的输出目录",
     "Output directory for images from extras tab": "后处理的输出目录",
     "Output directory for grids; if empty, defaults to two directories below": "概览图的输出目录； 如果为空，则默认为以下两个目录",
-    "Output directory for txt2img grids": "文转图概览的输出目录",
-    "Output directory for img2img grids": "图转图概览的输出目录",
+    "Output directory for txt2img grids": "文生图概览的输出目录",
+    "Output directory for img2img grids": "图生图概览的输出目录",
     "Directory for saving images using the Save button": "使用“保存”按钮保存图像的目录",
     "Saving to a directory": "保存到目录",
     "Save images to a subdirectory": "将图像保存到子目录",
@@ -331,12 +331,12 @@
     "Directory name pattern": "目录名称格式",
     "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示词数量",
     "Upscaling": "放大",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块大小(Tile size)。0 = 不分块(no tiling)",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "图块重叠(Tile overlap)，以 ESRGAN 的像素为单位。低值 = 可见接缝",
-    "Tile size for all SwinIR.": "所有 SwinIR 的图块尺寸(Tile size)",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "图块重叠(Tile overlap)，以 SwinIR 的像素为单位。低值 = 可见接缝",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的图块尺寸(Tile size)。0 = 不分块(no tiling)",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 的图块重叠(Tile overlap)像素。低值 = 可见接缝",
+    "Tile size for all SwinIR.": "适用所有 SwinIR 系算法的图块尺寸(Tile size)",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR 的图块重叠(Tile overlap)像素。低值 = 可见接缝",
     "LDSR processing steps. Lower = faster": "LDSR 处理迭代步数。更低 = 更快",
-    "Upscaler for img2img": "图转图的放大算法",
+    "Upscaler for img2img": "图生图的放大算法",
     "Upscale latent space image when doing hires. fix": "做高分辨率修复时也放大潜空间图像",
     "Face restoration": "面部修复",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 权重参数； 0 = 最大效果； 1 = 最小效果",
@@ -355,9 +355,9 @@
     "Stable Diffusion": "Stable Diffusion",
     "Checkpoints to cache in RAM": "缓存在内存(RAM)中的模型(ckpt)",
     "Hypernetwork strength": "Hypernetwork 强度",
-    "Apply color correction to img2img results to match original colors.": "对图转图结果应用颜色校正以匹配原始颜色",
-    "Save a copy of image before applying color correction to img2img results": "在对图转图结果应用颜色校正之前保存图像副本",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图转图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
+    "Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色",
+    "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。需要重新启动才能应用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子",
@@ -365,16 +365,16 @@
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填空来提高一致性",
     "Filter NSFW content": "过滤成人内容",
     "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下",
-    "Interrogate Options": "逆向生成提示词选项",
-    "Interrogate: keep models in VRAM": "逆向生成: 将模型保存在显存(VRAM)中",
-    "Interrogate: use artists from artists.csv": "逆向生成: 使用 artists.csv 中的艺术家",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "逆向生成: 在生成结果中包含与模型标签(tags)相匹配的等级（对基于生成自然语言描述的逆向生成没有影响）",
-    "Interrogate: num_beams for BLIP": "逆向生成: BLIP 的 num_beams",
-    "Interrogate: minimum description length (excluding artists, etc..)": "逆向生成: 最小描述长度（不包括艺术家, 等…）",
-    "Interrogate: maximum description length": "逆向生成: 最大描述长度",
+    "Interrogate Options": "反推提示词选项",
+    "Interrogate: keep models in VRAM": "反推: 将模型保存在显存(VRAM)中",
+    "Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的艺术家",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "反推: 在生成结果中包含与模型标签(tags)相匹配的等级（对基于生成自然语言描述的反推没有影响）",
+    "Interrogate: num_beams for BLIP": "反推: BLIP 的 num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "反推: 最小描述长度（不包括艺术家, 等…）",
+    "Interrogate: maximum description length": "反推: 最大描述长度",
     "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: 文本文件中的最大行数（0 = 无限制）",
-    "Interrogate: deepbooru score threshold": "逆向生成: deepbooru 分数阈值",
-    "Interrogate: deepbooru sort alphabetically": "逆向生成: deepbooru 按字母顺序排序",
+    "Interrogate: deepbooru score threshold": "反推: deepbooru 分数阈值",
+    "Interrogate: deepbooru sort alphabetically": "反推: deepbooru 按字母顺序排序",
     "use spaces for tags in deepbooru": "在 deepbooru 中为标签使用空格",
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "在 deepbooru 中使用转义 (\\) 括号（因此它们用作文字括号而不是强调符号）",
     "User interface": "用户界面",
@@ -396,7 +396,7 @@
     "Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样器（需要重新启动）",
     "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪声倍增器) ",
     "eta (noise multiplier) for ancestral samplers": "ancestral 采样器的 eta (噪声倍增器)",
-    "img2img DDIM discretize": "图转图 DDIM 离散化",
+    "img2img DDIM discretize": "图生图 DDIM 离散化",
     "uniform": "均勻",
     "quad": "二阶",
     "sigma churn": "sigma churn",
@@ -456,7 +456,7 @@
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
     "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块之间(Tiles)需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认路径",
     "Input images directory": "输入图像目录",

From f9b20482fc5f71a5efead408a4006e73471fa1bc Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 04:22:43 +0900
Subject: [PATCH 196/321] Update zh-hans.json

---
 localizations/zh-hans.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 6276f573..e206da88 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -55,7 +55,7 @@
     "Width": "宽度",
     "Height": "高度",
     "Restore faces": "面部修复",
-    "Tiling": "分块(Tiling)",
+    "Tiling": "可平铺(Tiling)",
     "Highres. fix": "高分辨率修复",
     "Firstpass width": "第一遍的宽度",
     "Firstpass height": "第一遍的高度",
@@ -427,7 +427,7 @@
     "Which algorithm to use to produce the image": "使用哪种算法生成图像",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有创意，可以根据迭代步数获得完全不同的图像，将迭代步数设置为高于 30-40 不会有正面作用",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅长内补绘制",
-    "Produce an image that can be tiled.": "生成可以分块(Tiling)的图像",
+    "Produce an image that can be tiled.": "生成可用于平铺(tiled)的图像",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用两步处理的时候以较小的分辨率生成初步图像、接着放大图像，然后在不更改构图的情况下改进其中的细节",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "决定算法对图像内容的影响程度。设置 0 时，什么都不会改变，而在 1 时，你将获得不相关的图像。值低于 1.0 时，处理的迭代步数将少于“采样迭代步数”滑块指定的步数",
     "How many batches of images to create": "创建多少批次的图像",

From 57b90a8b19494dfcd8be9a00c8e591b63d4564bd Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 09:51:05 +0800
Subject: [PATCH 197/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index e206da88..da020248 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -454,7 +454,7 @@
     "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
-    "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像多少次并将其用作下一次迭代的输入",
+    "How many times to repeat processing an image and using it as input for the next iteration": "处理图片并作为下次迭代输入的重复次数",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",

From f9e31c6bddb62245208ad607da4550e7559b50f9 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 09:56:20 +0800
Subject: [PATCH 198/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index da020248..ab589856 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -165,7 +165,7 @@
     "Decode CFG scale": "解码提示词相关性(CFG scale)",
     "Randomness": "随机度",
     "Sigma adjustment for finding noise for image": "为寻找图中噪点的 Sigma 调整",
-    "Loops": "循环",
+    "Loops": "迭代次数",
     "Denoising strength change factor": "降噪强度的调整系数",
     "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，降噪强度：0.8",
     "Pixels to expand": "拓展的像素数",

From f1103b67500a647483538f820e48bacc8de9c478 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 10:07:56 +0800
Subject: [PATCH 199/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index ab589856..42faebe2 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -174,7 +174,7 @@
     "right": "右",
     "up": "上",
     "down": "下",
-    "Fall-off exponent (lower=higher detail)": "衰减指数（低=高细节）",
+    "Fall-off exponent (lower=higher detail)": "衰减指数(越低细节越好)",
     "Color variation": "色彩变化",
     "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "将图像放大到两倍尺寸； 使用宽度和高度滑块设置图块尺寸(tile size)",
     "Tile overlap": "图块重叠的像素(Tile overlap)",

From dd15526e6b1159e1c124c33dae9c28f70cb6f062 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 10:08:12 +0800
Subject: [PATCH 200/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 42faebe2..b78f464b 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -234,7 +234,7 @@
     "Primary model (A)": "主要模型 (A)",
     "Secondary model (B)": "第二模型 (B)",
     "Tertiary model (C)": "第三模型 (C)",
-    "Custom Name (Optional)": "自定义名字 (可选)",
+    "Custom Name (Optional)": "自定义名称 (可选)",
     "Multiplier (M) - set to 0 to get model A": "倍率 (M) - 设为 0 等价于模型 A",
     "Interpolation Method": "插值方法",
     "Weighted sum": "加权和",

From e53474d31c621b239efb6a30a1e49de6bb251e21 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 10:08:32 +0800
Subject: [PATCH 201/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index b78f464b..eecb1b39 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -305,7 +305,7 @@
     "File format for grids": "概览图的文件格式",
     "Add extended info (seed, prompt) to filename when saving grid": "保存概览时将扩展信息（随机种子、提示词）添加到文件名",
     "Do not save grids consisting of one picture": "不要保存由一张图像组成的概览图",
-    "Prevent empty spots in grid (when set to autodetect)": "防止概览图中出现空白点（设置为自动检测时）",
+    "Prevent empty spots in grid (when set to autodetect)": "（在自动检测时）防止概览图中出现空位",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概览行数； 使用 -1 进行自动检测，使用 0 使其与批量大小相同",
     "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息作为块保存到 png 文件中",
     "Create a text file next to every image with generation parameters.": "保存图像时在每个图像旁边创建一个文本文件储存生成参数",

From 0655797c53928ff7ee269f312b8a479f1177cd70 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 10:09:01 +0800
Subject: [PATCH 202/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index eecb1b39..f468c024 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -316,7 +316,7 @@
     "When using 'Save' button, only save a single selected image": "使用“保存”按钮时，只保存一个选定的图像",
     "Do not add watermark to images": "不要给图像加水印",
     "Paths for saving": "保存路径",
-    "Output directory for images; if empty, defaults to three directories below": "图像的输出目录； 如果为空，则默认为下面三个目录",
+    "Output directory for images; if empty, defaults to three directories below": "图像的输出目录； 如果为空，则默认为以下三个目录",
     "Output directory for txt2img images": "文生图的输出目录",
     "Output directory for img2img images": "图生图的输出目录",
     "Output directory for images from extras tab": "后处理的输出目录",

From bf7b50e6bcb61048891834def8393398d40a0b50 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 10:21:31 +0800
Subject: [PATCH 203/321] Update localizations/zh-hans.json

Co-authored-by: liggest <43201720+liggest@users.noreply.github.com>
---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index f468c024..363ff200 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -36,7 +36,7 @@
     "Click to Upload": "点击上传",
     "Image": "图像",
     "Check progress": "查看进度",
-    "Check progress (first)": "查看进度 (1st)",
+    "Check progress (first)": "(首次)查看进度",
     "Sampling Steps": "采样迭代步数",
     "Sampling method": "采样方法",
     "Euler a": "Euler a",

From 5394d0e696bbf91a7b0aff9ee40170a1166b7607 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 16:45:30 +0900
Subject: [PATCH 204/321] Update zh-hans.json

---
 localizations/zh-hans.json | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 363ff200..7dae0612 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -124,7 +124,7 @@
     "Inpaint": "内补绘制",
     "Batch img2img": "批量图生图",
     "Image for img2img": "图生图的图像",
-    "Image for inpainting with mask": "用在内补绘制蒙版内容的图像",
+    "Image for inpainting with mask": "用于内补绘制蒙版内容的图像",
     "Mask": "蒙版",
     "Mask blur": "蒙版模糊",
     "Mask mode": "蒙版模式",
@@ -264,7 +264,7 @@
     "Overwrite Old Hypernetwork": "覆写旧的 Hypernetwork",
     "Source directory": "源目录",
     "Destination directory": "目标目录",
-    "Existing Caption txt Action": "对已有说明文字的 txt 的行为",
+    "Existing Caption txt Action": "对已有的 txt 说明文字的行为",
     "ignore": "无视",
     "copy": "复制",
     "prepend": "放前面",
@@ -304,7 +304,7 @@
     "Always save all generated image grids": "始终保存所有生成的概览图",
     "File format for grids": "概览图的文件格式",
     "Add extended info (seed, prompt) to filename when saving grid": "保存概览时将扩展信息（随机种子、提示词）添加到文件名",
-    "Do not save grids consisting of one picture": "不要保存由一张图像组成的概览图",
+    "Do not save grids consisting of one picture": "只有一张图片时不要保存概览图",
     "Prevent empty spots in grid (when set to autodetect)": "（在自动检测时）防止概览图中出现空位",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概览行数； 使用 -1 进行自动检测，使用 0 使其与批量大小相同",
     "Save text information about generation parameters as chunks to png files": "将有关生成参数的文本信息作为块保存到 png 文件中",
@@ -394,8 +394,8 @@
     "Localization (requires restart)": "本地化（需要重新启动）",
     "Sampler parameters": "采样器参数",
     "Hide samplers in user interface (requires restart)": "在用户界面中隐藏采样器（需要重新启动）",
-    "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪声倍增器) ",
-    "eta (noise multiplier) for ancestral samplers": "ancestral 采样器的 eta (噪声倍增器)",
+    "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪声乘数) ",
+    "eta (noise multiplier) for ancestral samplers": "ancestral 采样器的 eta (噪声乘数)",
     "img2img DDIM discretize": "图生图 DDIM 离散化",
     "uniform": "均勻",
     "quad": "二阶",
@@ -435,7 +435,7 @@
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 图像应在多大程度上服从提示词 - 较低的值会产生更有创意的结果",
     "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一个固定随机数生成器输出的值 - 以相同参数和随机种子生成的图像会得到相同的结果",
     "Set seed to -1, which will cause a new random number to be used every time": "将随机种子设置为-1，则每次都会使用一个新的随机数",
-    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的随机种子，如果它是随机出来的话就有用",
+    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的随机种子，如果想要固定结果就会很有用",
     "Seed of a different picture to be mixed into the generation.": "将要参与生成的另一张图的随机种子",
     "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要产生多强烈的变化。设为 0 时，将没有效果。设为 1 时，你将获得完全产自差异随机种子的图像（ancestral 采样器除外，你只是单纯地生成了一些东西）",
     "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "尝试生成与在指定分辨率下使用相同随机种子生成的图像相似的图片",
@@ -454,7 +454,7 @@
     "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "将图像大小调整为目标分辨率。除非高度和宽度匹配，否则你将获得不正确的纵横比",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
-    "How many times to repeat processing an image and using it as input for the next iteration": "处理图片并作为下次迭代输入的重复次数",
+    "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像并用作下次迭代输入的次数",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",

From 6cf030abfc8c91caab453d88c9a181c8f1ee9e23 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Mon, 24 Oct 2022 17:20:34 +0900
Subject: [PATCH 205/321] re-order some element. update to latest

---
 localizations/zh-hans.json | 62 +++++++++++++++++++++-----------------
 1 file changed, 34 insertions(+), 28 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 7dae0612..06f56852 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -14,11 +14,11 @@
     "img2img": "图生图",
     "Extras": "后处理",
     "PNG Info": "PNG 信息",
-    "Image Browser": "图库浏览器",
-    "History": "历史记录",
     "Checkpoint Merger": "模型(ckpt)合并工具",
     "Train": "训练",
     "Create aesthetic embedding": "生成美术风格 embedding",
+    "Image Browser": "图库浏览器",
+    "History": "历史记录",
     "Settings": "设置",
     "Prompt": "提示词",
     "Negative prompt": "反向提示词",
@@ -81,9 +81,12 @@
     "Slerp angle": "Slerp 角度",
     "Is negative text": "是反向提示词",
     "Script": "脚本",
+    "Embedding to Shareable PNG": "将 Embedding 转换为可分享的 PNG",
     "Prompt matrix": "提示词矩阵",
     "Prompts from file or textbox": "从文本框或文件载入提示词",
     "X/Y plot": "X/Y 图表",
+    "Source embedding to convert": "用于转换的源 Embedding",
+    "Embedding token": "Embedding 的 token (关键词)",
     "Put variable parts at start of prompt": "把变量部分放在提示词文本的开头",
     "Show Textbox": "显示文本框",
     "File with inputs": "含输入内容的文件",
@@ -203,31 +206,6 @@
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 权重 (0 = 最大效果, 1 = 最小效果)",
     "Open output directory": "打开输出目录",
     "Send to txt2img": ">> 文生图",
-    "txt2img history": "文生图历史记录",
-    "img2img history": "图生图历史记录",
-    "extras history": "后处理历史记录",
-    "Renew Page": "刷新页面",
-    "extras": "后处理",
-    "favorites": "收藏夹",
-    "Load": "载入",
-    "Images directory": "图像目录",
-    "Prev batch": "上一批",
-    "Next batch": "下一批",
-    "First Page": "第一页",
-    "Prev Page": "上一页",
-    "Page Index": "页数",
-    "Next Page": "下一页",
-    "End Page": "尾页",
-    "number of images to delete consecutively next": "接下来要连续删除的图像数",
-    "Delete": "删除",
-    "Generate Info": "生成信息",
-    "File Name": "文件名",
-    "Collect": "收藏",
-    "Refresh page": "刷新页面",
-    "Date to": "日期至",
-    "Number": "数量",
-    "set_index": "设置索引",
-    "Checkbox": "勾选框",
     "A merger of the two checkpoints will be generated in your": "合并后的模型(ckpt)会生成在你的",
     "checkpoint": "模型(ckpt)",
     "directory.": "目录",
@@ -296,6 +274,32 @@
     "Train Embedding": "训练 Embedding",
     "Create an aesthetic embedding out of any number of images": "从任意数量的图像中创建美术风格 embedding",
     "Create images embedding": "生成图集 embedding",
+    "txt2img history": "文生图历史记录",
+    "img2img history": "图生图历史记录",
+    "extras history": "后处理历史记录",
+    "Renew Page": "刷新页面",
+    "extras": "后处理",
+    "favorites": "收藏夹",
+    "custom fold": "自定义文件夹",
+    "Load": "载入",
+    "Images directory": "图像目录",
+    "Prev batch": "上一批",
+    "Next batch": "下一批",
+    "First Page": "第一页",
+    "Prev Page": "上一页",
+    "Page Index": "页数",
+    "Next Page": "下一页",
+    "End Page": "尾页",
+    "number of images to delete consecutively next": "接下来要连续删除的图像数",
+    "Delete": "删除",
+    "Generate Info": "生成信息",
+    "File Name": "文件名",
+    "Collect": "收藏",
+    "Refresh page": "刷新页面",
+    "Date to": "日期至",
+    "Number": "数量",
+    "set_index": "设置索引",
+    "Checkbox": "勾选框",
     "Apply settings": "保存设置",
     "Saving images/grids": "保存图像/概览图",
     "Always save all generated images": "始终保存所有生成的图像",
@@ -405,6 +409,8 @@
     "Eta noise seed delta": "Eta 噪声种子偏移(noise seed delta)",
     "Images Browser": "图库浏览器",
     "Preload images at startup": "在启动时预载图像",
+    "Number of columns on the page": "每页列数",
+    "Number of rows on the page": "每页行数",
     "Number of pictures displayed on each page": "每页显示的图像数量",
     "Minimum number of pages per load": "每次加载的最小页数",
     "Number of grids in each row": "每行显示多少格",
@@ -459,13 +465,13 @@
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认路径",
-    "Input images directory": "输入图像目录",
     "Result = A * (1 - M) + B * M": "结果 = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "结果 = A + (B - C) * M",
     "1st and last digit must be 1. ex:'1, 2, 1'": "第一个和最后一个数字必须是 1。例:'1, 2, 1'",
     "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "训练应该多快。低值将需要更长的时间来训练，高值可能无法收敛（无法产生准确的结果）以及/也许可能会破坏 embedding（如果你在训练信息文本框中看到 Loss: nan 就会发生这种情况。如果发生这种情况，你需要从较旧的未损坏的备份手动恢复 embedding）\n\n你可以使用以下语法设置单个数值或多个学习率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步将以 0.005 的速率训练，接着直到 1000 步为止以 1e-3 训练，然后剩余所有步以 1e-5 训练",
     "Path to directory with input images": "带有输入图像的路径",
     "Path to directory where to write outputs": "进行输出的路径",
+    "Input images directory": "输入图像目录",
     "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像的文件名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",
     "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果启用此选项，水印将不会添加到生成出来的图像中。警告：如果你不添加水印，你的行为可能是不符合专业操守的",
     "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下标签定义如何选择图像和概览图的子目录: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 默认请留空",

From 05335805340a6f77c700a663f461ff1481fda922 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Tue, 25 Oct 2022 00:23:33 +0900
Subject: [PATCH 206/321] Update zh-hans.json

---
 localizations/zh-hans.json | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 06f56852..4f860286 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -137,12 +137,12 @@
     "Inpaint masked": "内补绘制蒙版内容",
     "Inpaint not masked": "内补绘制非蒙版内容",
     "Masked content": "蒙版蒙住的内容",
-    "fill": "填空",
+    "fill": "填充",
     "original": "原图",
     "latent noise": "潜空间噪声",
     "latent nothing": "潜空间数值零",
     "Inpaint at full resolution": "以完整分辨率进行内补绘制",
-    "Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填空像素",
+    "Inpaint at full resolution padding, pixels": "以完整分辨率进行内补绘制 - 填补像素",
     "Process images in a directory on the same machine where the server is running.": "在服务器主机上的目录中处理图像",
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一个空的文件夹为输出目录而非默认的 output 文件夹为输出目录",
     "Disabled when launched with --hide-ui-dir-config.": "启动 --hide-ui-dir-config 时禁用",
@@ -151,7 +151,7 @@
     "Resize mode": "缩放模式",
     "Just resize": "只缩放",
     "Crop and resize": "缩放并剪裁",
-    "Resize and fill": "缩放并填空",
+    "Resize and fill": "缩放并填充",
     "img2img alternative test": "图生图的另一种测试",
     "Loopback": "回送",
     "Outpainting mk2": "外补绘制第二版",
@@ -285,7 +285,7 @@
     "Images directory": "图像目录",
     "Prev batch": "上一批",
     "Next batch": "下一批",
-    "First Page": "第一页",
+    "First Page": "首页",
     "Prev Page": "上一页",
     "Page Index": "页数",
     "Next Page": "下一页",
@@ -366,7 +366,7 @@
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 采样器批量生成与生成单个图像时产出相同的图像",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填空来提高一致性",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "当使用超过 75 个 token 时，通过从 n 个 token 中的最后一个逗号填补来提高一致性",
     "Filter NSFW content": "过滤成人内容",
     "Stop At last layers of CLIP model": "在 CLIP 模型的最后哪一层停下",
     "Interrogate Options": "反推提示词选项",

From 2439f4c32c4bbb8d66cad44a461d1b0229fb5e8c Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Tue, 25 Oct 2022 12:35:04 +0900
Subject: [PATCH 207/321] Update zh-hans.json

---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 4f860286..c91289fd 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -59,7 +59,7 @@
     "Highres. fix": "高分辨率修复",
     "Firstpass width": "第一遍的宽度",
     "Firstpass height": "第一遍的高度",
-    "Denoising strength": "降噪(模糊)强度",
+    "Denoising strength": "去噪强度",
     "Batch count": "批次",
     "Batch size": "批量",
     "CFG Scale": "提示词相关性(CFG Scale)",

From 68bdeb5b84abd9c345bf411a43fc9ebb73745b66 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Tue, 25 Oct 2022 12:38:29 +0900
Subject: [PATCH 208/321] Update zh-hans.json

---
 localizations/zh-hans.json | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index c91289fd..4d04398a 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -108,7 +108,7 @@
     "Sigma noise": "Sigma noise",
     "Eta": "Eta",
     "Clip skip": "Clip 跳过",
-    "Denoising": "降噪",
+    "Denoising": "去噪",
     "X values": "X轴数值",
     "Y type": "Y轴类型",
     "Y values": "Y轴数值",
@@ -164,13 +164,13 @@
     "Original negative prompt": "初始反向提示词",
     "Override `Sampling Steps` to the same value as `Decode steps`?": "覆写 `采样迭代步数` 为 `解码迭代步数`?",
     "Decode steps": "解码迭代步数",
-    "Override `Denoising strength` to 1?": "覆写 `降噪强度` 为 1?",
+    "Override `Denoising strength` to 1?": "覆写 `去噪强度` 为 1?",
     "Decode CFG scale": "解码提示词相关性(CFG scale)",
     "Randomness": "随机度",
     "Sigma adjustment for finding noise for image": "为寻找图中噪点的 Sigma 调整",
     "Loops": "迭代次数",
-    "Denoising strength change factor": "降噪强度的调整系数",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，降噪强度：0.8",
+    "Denoising strength change factor": "去噪强度的调整系数",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推荐设置：采样迭代步数：80-100，采样器：Euler a，去噪强度：0.8",
     "Pixels to expand": "拓展的像素数",
     "Outpainting direction": "外补绘制的方向",
     "left": "左",
@@ -361,7 +361,7 @@
     "Hypernetwork strength": "Hypernetwork 强度",
     "Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色",
     "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（通常更少的降噪会做更少的迭代步数）",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情況下更弱的去噪需要更少的迭代步数）",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。需要重新启动才能应用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子",
@@ -461,7 +461,7 @@
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "调整图像大小，使整个目标分辨率都被图像填充。裁剪多出来的部分",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "调整图像大小，使整个图像在目标分辨率内。用图像的颜色填充空白区域",
     "How many times to repeat processing an image and using it as input for the next iteration": "重复处理图像并用作下次迭代输入的次数",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，降噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每个循环中，去噪强度都会乘以该值。<1 表示减少多样性，因此你的这一组图将集中在固定的图像上。>1 意味着增加多样性，因此你的这一组图将变得越来越混乱",
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大(SD upscale)时，图块(Tiles)之间应该有多少像素重叠。图块(Tiles)之间需要重叠才可以让它们在合并回一张图像时，没有清晰可见的接缝",
     "A directory on the same machine where the server is running.": "与服务器主机上的目录",
     "Leave blank to save images to the default path.": "留空以将图像保存到默认路径",

From dde8c435987dcd071c63d16f247ae832bce0101f Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Tue, 25 Oct 2022 12:40:15 +0900
Subject: [PATCH 209/321] Update zh-hans.json

---
 localizations/zh-hans.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh-hans.json b/localizations/zh-hans.json
index 4d04398a..e453f5e3 100644
--- a/localizations/zh-hans.json
+++ b/localizations/zh-hans.json
@@ -361,7 +361,7 @@
     "Hypernetwork strength": "Hypernetwork 强度",
     "Apply color correction to img2img results to match original colors.": "对图生图结果应用颜色校正以匹配原始颜色",
     "Save a copy of image before applying color correction to img2img results": "在对图生图结果应用颜色校正之前保存图像副本",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情況下更弱的去噪需要更少的迭代步数）",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在进行图生图的时候，确切地执行滑块指定的迭代步数（正常情况下更弱的去噪需要更少的迭代步数）",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 采样器中启用量化以获得更清晰、更清晰的结果。这可能会改变现有的随机种子。需要重新启动才能应用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "强调符：使用 (文字) 使模型更关注该文本，使用 [文字] 使其减少关注",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用旧的强调符实现。可用于复现旧随机种子",

From af73cf50fdd79c84c3439842fa0c8f1a406760d1 Mon Sep 17 00:00:00 2001
From: dtlnor <dtlnor@hotmail.com>
Date: Wed, 26 Oct 2022 01:14:42 +0900
Subject: [PATCH 210/321] change file name

---
 localizations/{zh-hans.json => zh_CN.json} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename localizations/{zh-hans.json => zh_CN.json} (100%)

diff --git a/localizations/zh-hans.json b/localizations/zh_CN.json
similarity index 100%
rename from localizations/zh-hans.json
rename to localizations/zh_CN.json

From 99d728b5b18829c8a6b7b2d69c9b9327dd257896 Mon Sep 17 00:00:00 2001
From: Tony Beeman <beeman@gmail.com>
Date: Sun, 23 Oct 2022 23:16:47 -0700
Subject: [PATCH 211/321] Add Iterate Button and Improve PFF UI

---
 scripts/prompts_from_file.py | 50 +++++++++++++++++++++---------------
 1 file changed, 30 insertions(+), 20 deletions(-)

diff --git a/scripts/prompts_from_file.py b/scripts/prompts_from_file.py
index 1266be6f..1be22960 100644
--- a/scripts/prompts_from_file.py
+++ b/scripts/prompts_from_file.py
@@ -1,6 +1,7 @@
 import copy
 import math
 import os
+import random
 import sys
 import traceback
 import shlex
@@ -81,32 +82,34 @@ def cmdargs(line):
     return res
 
 
+def load_prompt_file(file):
+    if (file is None):
+        lines = []
+    else:
+        lines = [x.strip() for x in file.decode('utf8', errors='ignore').split("\n")]
+
+    return None, "\n".join(lines), gr.update(lines=7)
+
 class Script(scripts.Script):
     def title(self):
         return "Prompts from file or textbox"
 
     def ui(self, is_img2img):
-        # This checkbox would look nicer as two tabs, but there are two problems:
-        # 1) There is a bug in Gradio 3.3 that prevents visibility from working on Tabs
-        # 2) Even with Gradio 3.3.1, returning a control (like Tabs) that can't be used as input
-        #    causes a AttributeError: 'Tabs' object has no attribute 'preprocess' assert,
-        #    due to the way Script assumes all controls returned can be used as inputs.
-        # Therefore, there's no good way to use grouping components right now,
-        # so we will use a checkbox! :)
-        checkbox_txt = gr.Checkbox(label="Show Textbox", value=False)
-        file = gr.File(label="File with inputs", type='bytes')
-        prompt_txt = gr.TextArea(label="Prompts")
-        checkbox_txt.change(fn=lambda x: [gr.File.update(visible = not x), gr.TextArea.update(visible = x)], inputs=[checkbox_txt], outputs=[file, prompt_txt])
-        return [checkbox_txt, file, prompt_txt]
+        checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False)
 
-    def on_show(self, checkbox_txt, file, prompt_txt):
-        return [ gr.Checkbox.update(visible = True), gr.File.update(visible = not checkbox_txt), gr.TextArea.update(visible = checkbox_txt) ]
+        prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1)
+        file = gr.File(label="Upload prompt inputs", type='bytes')
 
-    def run(self, p, checkbox_txt, data: bytes, prompt_txt: str):
-        if checkbox_txt:
-            lines = [x.strip() for x in prompt_txt.splitlines()]
-        else:
-            lines = [x.strip() for x in data.decode('utf8', errors='ignore').split("\n")]
+        file.change(fn=load_prompt_file, inputs=[file], outputs=[file, prompt_txt, prompt_txt])
+
+        # We start at one line. When the text changes, we jump to seven lines, or two lines if no \n.
+        # We don't shrink back to 1, because that causes the control to ignore [enter], and it may
+        # be unclear to the user that shift-enter is needed.
+        prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt])
+        return [checkbox_iterate, file, prompt_txt]
+
+    def run(self, p, checkbox_iterate, file, prompt_txt: str):
+        lines = [x.strip() for x in prompt_txt.splitlines()]
         lines = [x for x in lines if len(x) > 0]
 
         p.do_not_save_grid = True
@@ -134,6 +137,9 @@ class Script(scripts.Script):
             jobs.append(args)
 
         print(f"Will process {len(lines)} lines in {job_count} jobs.")
+        if (checkbox_iterate and p.seed == -1):
+            p.seed = int(random.randrange(4294967294))
+
         state.job_count = job_count
 
         images = []
@@ -146,5 +152,9 @@ class Script(scripts.Script):
 
             proc = process_images(copy_p)
             images += proc.images
+            
+            if (checkbox_iterate):
+                p.seed = p.seed + (p.batch_size * p.n_iter)
 
-        return Processed(p, images, p.seed, "")
+
+        return Processed(p, images, p.seed, "")
\ No newline at end of file

From dc6779f6f384a83ee2b96e60d841116bd4a878eb Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Wed, 26 Oct 2022 19:52:34 +0900
Subject: [PATCH 212/321] Update new strings

Translated new strings in PFF UI
---
 localizations/ko_KR.json | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index ff70f1ea..803b7fb9 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -218,6 +218,7 @@
   "Interrogate: use artists from artists.csv": "분석 : artists.csv의 작가들 사용하기",
   "Interrupt": "중단",
   "Is negative text": "네거티브 텍스트일시 체크",
+  "Iterate seed every line": "줄마다 시드 반복하기",
   "Just resize": "리사이징",
   "Keep -1 for seeds": "시드값 -1로 유지",
   "keep whatever was there originally": "이미지 원본 유지",
@@ -234,6 +235,7 @@
   "Leave blank to save images to the default path.": "기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
   "left": "왼쪽",
   "linear": "linear",
+  "List of prompt inputs": "프롬프트 입력 리스트",
   "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "설정 탭이 아니라 상단의 빠른 설정 바에 위치시킬 설정 이름을 쉼표로 분리해서 입력하십시오. 설정 이름은 modules/shared.py에서 찾을 수 있습니다. 재시작이 필요합니다.",
   "LMS": "LMS",
   "LMS Karras": "LMS Karras",
@@ -464,6 +466,7 @@
   "uniform": "uniform",
   "up": "위쪽",
   "Upload mask": "마스크 업로드하기",
+  "Upload prompt inputs": "입력할 프롬프트를 업로드하십시오",
   "Upscale latent space image when doing hires. fix": "고해상도 보정 사용시 잠재 공간 이미지 업스케일하기",
   "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
   "Upscaler": "업스케일러",

From eba38de38d43eeb9689a8ddded8a871f0d64bd92 Mon Sep 17 00:00:00 2001
From: benlisquare <benlisquare>
Date: Wed, 26 Oct 2022 22:10:32 +1100
Subject: [PATCH 213/321] create new localisation JSON for zh_TW (Traditional
 Chinese, Taiwan locale)

---
 localizations/zh_TW.json | 488 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 488 insertions(+)
 create mode 100644 localizations/zh_TW.json

diff --git a/localizations/zh_TW.json b/localizations/zh_TW.json
new file mode 100644
index 00000000..43db9c31
--- /dev/null
+++ b/localizations/zh_TW.json
@@ -0,0 +1,488 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "載入中...",
+    "view": "查看",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "基於 Gradio 構建",
+    "Stable Diffusion checkpoint": "Stable Diffusion 模型",
+    "txt2img": "文生圖",
+    "img2img": "圖生圖",
+    "Extras": "後處理",
+    "PNG Info": "PNG 信息",
+    "Checkpoint Merger": "模型合併工具",
+    "Train": "訓練",
+    "Create aesthetic embedding": "生成美術風格 embedding",
+    "Image Browser": "圖庫瀏覽器",
+    "History": "歷史記錄",
+    "Settings": "設定",
+    "Prompt": "提示詞",
+    "Negative prompt": "反向提示詞",
+    "Run": "運行",
+    "Skip": "跳過",
+    "Interrupt": "中止",
+    "Generate": "生成",
+    "Style 1": "模版風格 1",
+    "Style 2": "模版風格 2",
+    "Label": "標籤",
+    "File": "檔案",
+    "Drop File Here": "拖拽檔案到此",
+    "-": "-",
+    "or": "或",
+    "Click to Upload": "點擊上載",
+    "Image": "圖像",
+    "Check progress": "查看進度",
+    "Check progress (first)": "(首次)查看進度",
+    "Sampling Steps": "採樣迭代步數",
+    "Sampling method": "採樣方法",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "寬度",
+    "Height": "高度",
+    "Restore faces": "面部修復",
+    "Tiling": "可平鋪",
+    "Highres. fix": "高解析度修復",
+    "Firstpass width": "第一遍的寬度",
+    "Firstpass height": "第一遍的高度",
+    "Denoising strength": "去噪強度",
+    "Batch count": "批次",
+    "Batch size": "批量",
+    "CFG Scale": "提示詞相關性(CFG)",
+    "Seed": "隨機種子",
+    "Extra": "額外參數",
+    "Variation seed": "差異隨機種子",
+    "Variation strength": "差異強度",
+    "Resize seed from width": "自寬度縮放隨機種子",
+    "Resize seed from height": "自高度縮放隨機種子",
+    "Open for Clip Aesthetic!": "打開美術風格 Clip!",
+    "▼": "▼",
+    "Aesthetic weight": "美術風格權重",
+    "Aesthetic steps": "美術風格迭代步數",
+    "Aesthetic learning rate": "美術風格學習率",
+    "Slerp interpolation": "Slerp 插值",
+    "Aesthetic imgs embedding": "美術風格圖集 embedding",
+    "None": "無",
+    "Aesthetic text for imgs": "該圖集的美術風格描述",
+    "Slerp angle": "Slerp 角度",
+    "Is negative text": "是反向提示詞",
+    "Script": "腳本",
+    "Embedding to Shareable PNG": "將 Embedding 轉換為可分享的 PNG",
+    "Prompt matrix": "提示詞矩陣",
+    "Prompts from file or textbox": "從文本框或檔案載入提示詞",
+    "X/Y plot": "X/Y 圖表",
+    "Source embedding to convert": "用於轉換的源 Embedding",
+    "Embedding token": "Embedding 的關鍵詞",
+    "Put variable parts at start of prompt": "把變量部分放在提示詞文本的開頭",
+    "Show Textbox": "顯示文本框",
+    "File with inputs": "含輸入內容的檔案",
+    "Prompts": "提示詞",
+    "X type": "X軸類型",
+    "Nothing": "無",
+    "Var. seed": "差異隨機種子",
+    "Var. strength": "差異強度",
+    "Steps": "迭代步數",
+    "Prompt S/R": "提示詞替換",
+    "Prompt order": "提示詞順序",
+    "Sampler": "採樣器",
+    "Checkpoint name": "模型名",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernetwork 強度",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "最小 Sigma",
+    "Sigma max": "最大 Sigma",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip 跳過",
+    "Denoising": "去噪",
+    "X values": "X軸數值",
+    "Y type": "Y軸類型",
+    "Y values": "Y軸數值",
+    "Draw legend": "在圖表中包括軸標題",
+    "Include Separate Images": "包括獨立的圖像",
+    "Keep -1 for seeds": "保持隨機種子為-1",
+    "Drop Image Here": "拖拽圖像到此",
+    "Save": "保存",
+    "Send to img2img": ">> 圖生圖",
+    "Send to inpaint": ">> 內補繪製",
+    "Send to extras": ">> 後處理",
+    "Make Zip when Save?": "保存時生成ZIP壓縮檔案?",
+    "Textbox": "文本框",
+    "Interrogate\nCLIP": "CLIP\n反推提示詞",
+    "Interrogate\nDeepBooru": "DeepBooru\n反推提示詞",
+    "Inpaint": "內補繪製",
+    "Batch img2img": "批量圖生圖",
+    "Image for img2img": "圖生圖的圖像",
+    "Image for inpainting with mask": "用於內補繪製蒙版內容的圖像",
+    "Mask": "蒙版",
+    "Mask blur": "蒙版模糊",
+    "Mask mode": "蒙版模式",
+    "Draw mask": "繪製蒙版",
+    "Upload mask": "上載蒙版",
+    "Masking mode": "蒙版模式",
+    "Inpaint masked": "內補繪製蒙版內容",
+    "Inpaint not masked": "內補繪製非蒙版內容",
+    "Masked content": "蒙版蒙住的內容",
+    "fill": "填充",
+    "original": "原圖",
+    "latent noise": "潛空間噪聲",
+    "latent nothing": "潛空間數值零",
+    "Inpaint at full resolution": "以完整解析度進行內補繪製",
+    "Inpaint at full resolution padding, pixels": "以完整解析度進行內補繪製 - 填補畫素",
+    "Process images in a directory on the same machine where the server is running.": "在伺服器主機上的目錄中處理圖像",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一個空的檔案夾為輸出目錄而非預設的 output 檔案夾為輸出目錄",
+    "Disabled when launched with --hide-ui-dir-config.": "啟動 --hide-ui-dir-config 時禁用",
+    "Input directory": "輸入目錄",
+    "Output directory": "輸出目錄",
+    "Resize mode": "縮放模式",
+    "Just resize": "只縮放",
+    "Crop and resize": "縮放並剪裁",
+    "Resize and fill": "縮放並填充",
+    "img2img alternative test": "圖生圖的另一種測試",
+    "Loopback": "回送",
+    "Outpainting mk2": "外補繪製第二版",
+    "Poor man's outpainting": "效果稍差的外補繪製",
+    "SD upscale": "使用 SD 放大",
+    "should be 2 or lower.": "必須小於等於2",
+    "Override `Sampling method` to Euler?(this method is built for it)": "覆寫「採樣方法」為 Euler?(這個方法就是為這樣做設計的)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆寫「提示詞」為「初始提示詞」?(包括「反向提示詞」)",
+    "Original prompt": "初始提示詞",
+    "Original negative prompt": "初始反向提示詞",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "覆寫「採樣迭代步數」為「解碼迭代步數」?",
+    "Decode steps": "解碼迭代步數",
+    "Override `Denoising strength` to 1?": "覆寫「去噪強度」為1?",
+    "Decode CFG scale": "解碼提示詞相關性(CFG)",
+    "Randomness": "隨機度",
+    "Sigma adjustment for finding noise for image": "為尋找圖中噪點的 Sigma 調整",
+    "Loops": "迭代次數",
+    "Denoising strength change factor": "去噪強度的調整係數",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推薦設定：採樣迭代步數：80-100，採樣器：Euler a，去噪強度：0.8",
+    "Pixels to expand": "拓展的畫素數",
+    "Outpainting direction": "外補繪製的方向",
+    "left": "左",
+    "right": "右",
+    "up": "上",
+    "down": "下",
+    "Fall-off exponent (lower=higher detail)": "衰減指數(越低細節越好)",
+    "Color variation": "色彩變化",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "將圖像放大到兩倍尺寸； 使用寬度和高度滑塊設定圖塊尺寸",
+    "Tile overlap": "圖塊重疊的畫素",
+    "Upscaler": "放大算法",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "BSRGAN 4x": "BSRGAN 4x",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR_4x": "SwinIR 4x",
+    "Single Image": "單個圖像",
+    "Batch Process": "批量處理",
+    "Batch from Directory": "從目錄進行批量處理",
+    "Source": "來源",
+    "Show result images": "顯示輸出圖像",
+    "Scale by": "等比縮放",
+    "Scale to": "指定尺寸縮放",
+    "Resize": "縮放",
+    "Crop to fit": "裁剪以適應",
+    "Upscaler 2": "放大算法 2",
+    "Upscaler 2 visibility": "放大算法 2 可見度",
+    "GFPGAN visibility": "GFPGAN 可見度",
+    "CodeFormer visibility": "CodeFormer 可見度",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 權重 (0 = 最大效果, 1 = 最小效果)",
+    "Open output directory": "打開輸出目錄",
+    "Send to txt2img": ">> 文生圖",
+    "A merger of the two checkpoints will be generated in your": "合併後的模型會生成在你的",
+    "checkpoint": "模型",
+    "directory.": "目錄",
+    "Primary model (A)": "主要模型 (A)",
+    "Secondary model (B)": "第二模型 (B)",
+    "Tertiary model (C)": "第三模型 (C)",
+    "Custom Name (Optional)": "自定義名稱 (可選)",
+    "Multiplier (M) - set to 0 to get model A": "倍率 (M) - 設為 0 等價於模型 A",
+    "Interpolation Method": "插值方法",
+    "Weighted sum": "加權和",
+    "Add difference": "添加差分",
+    "Save as float16": "以 float16 儲存",
+    "See": "查看",
+    "wiki": "wiki",
+    "for detailed explanation.": "以了解詳細說明",
+    "Create embedding": "生成 embedding",
+    "Create aesthetic images embedding": "生成美術風格圖集 embedding",
+    "Create hypernetwork": "生成 hypernetwork",
+    "Preprocess images": "圖像預處理",
+    "Name": "名稱",
+    "Initialization text": "初始化文字",
+    "Number of vectors per token": "每個 token 的向量數",
+    "Overwrite Old Embedding": "覆寫舊的 Embedding",
+    "Modules": "模塊",
+    "Enter hypernetwork layer structure": "輸入 hypernetwork 層結構",
+    "Select activation function of hypernetwork": "選擇 hypernetwork 的激活函數",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "添加層標準化",
+    "Use dropout": "採用 dropout 防止過擬合",
+    "Overwrite Old Hypernetwork": "覆寫舊的 Hypernetwork",
+    "Source directory": "源目錄",
+    "Destination directory": "目標目錄",
+    "Existing Caption txt Action": "對已有的TXT說明文字的行為",
+    "ignore": "無視",
+    "copy": "複製",
+    "prepend": "放前面",
+    "append": "放後面",
+    "Create flipped copies": "生成鏡像副本",
+    "Split oversized images into two": "將過大的圖像分為兩份",
+    "Split oversized images": "分割過大的圖像",
+    "Use BLIP for caption": "使用 BLIP 生成說明文字(自然語言描述)",
+    "Use deepbooru for caption": "使用 deepbooru 生成說明文字(標籤)",
+    "Split image threshold": "圖像分割閾值",
+    "Split image overlap ratio": "分割圖像重疊的比率",
+    "Preprocess": "預處理",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "訓練 embedding； 必須指定一組具有 1:1 比例圖像的目錄",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "訓練 embedding 或者 hypernetwork； 必須指定一組具有 1:1 比例圖像的目錄",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Embedding Learning rate": "Embedding 學習率",
+    "Hypernetwork Learning rate": "Hypernetwork 學習率",
+    "Learning rate": "學習率",
+    "Dataset directory": "數據集目錄",
+    "Log directory": "日誌目錄",
+    "Prompt template file": "提示詞模版檔案",
+    "Max steps": "最大迭代步數",
+    "Save an image to log directory every N steps, 0 to disable": "每 N 步保存一個圖像到日誌目錄，0 表示禁用",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步將 embedding 的副本保存到日誌目錄，0 表示禁用",
+    "Save images with embedding in PNG chunks": "保存圖像並在 PNG 檔案中嵌入 embedding 檔案",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "進行預覽時從文生圖選項卡中讀取參數（提示詞等）",
+    "Train Hypernetwork": "訓練 Hypernetwork",
+    "Train Embedding": "訓練 Embedding",
+    "Create an aesthetic embedding out of any number of images": "從任意數量的圖像中創建美術風格 embedding",
+    "Create images embedding": "生成圖集 embedding",
+    "txt2img history": "文生圖歷史記錄",
+    "img2img history": "圖生圖歷史記錄",
+    "extras history": "後處理歷史記錄",
+    "Renew Page": "刷新頁面",
+    "extras": "後處理",
+    "favorites": "收藏夾",
+    "custom fold": "自定義檔案夾",
+    "Load": "載入",
+    "Images directory": "圖像目錄",
+    "Prev batch": "上一批",
+    "Next batch": "下一批",
+    "First Page": "首頁",
+    "Prev Page": "上一頁",
+    "Page Index": "頁數",
+    "Next Page": "下一頁",
+    "End Page": "尾頁",
+    "number of images to delete consecutively next": "接下來要連續刪除的圖像數",
+    "Delete": "刪除",
+    "Generate Info": "生成信息",
+    "File Name": "檔案名",
+    "Collect": "收藏",
+    "Refresh page": "刷新頁面",
+    "Date to": "日期至",
+    "Number": "數量",
+    "set_index": "設定索引",
+    "Checkbox": "核取方塊",
+    "Apply settings": "保存設定",
+    "Saving images/grids": "保存圖像/概覽圖",
+    "Always save all generated images": "始終保存所有生成的圖像",
+    "File format for images": "圖像的檔案格式",
+    "Images filename pattern": "圖像檔案名格式",
+    "Always save all generated image grids": "始終保存所有生成的概覽圖",
+    "File format for grids": "概覽圖的檔案格式",
+    "Add extended info (seed, prompt) to filename when saving grid": "保存概覽時將擴展信息（隨機種子、提示詞）添加到檔案名",
+    "Do not save grids consisting of one picture": "只有一張圖片時不要保存概覽圖",
+    "Prevent empty spots in grid (when set to autodetect)": "（在自動檢測時）防止概覽圖中出現空位",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概覽行數； 使用 -1 進行自動檢測，使用 0 使其與批量大小相同",
+    "Save text information about generation parameters as chunks to png files": "將有關生成參數的文本信息作為塊保存到PNG檔案中",
+    "Create a text file next to every image with generation parameters.": "保存圖像時在每個圖像旁邊創建一個文本檔案儲存生成參數",
+    "Save a copy of image before doing face restoration.": "在進行面部修復之前保存圖像副本",
+    "Quality for saved jpeg images": "保存的JPEG圖像的質量",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 圖像大於 4MB 或寬高大於 4000，則縮小並保存副本為 JPG",
+    "Use original name for output filename during batch process in extras tab": "在後處理選項卡中的批量處理過程中使用原始名稱作為輸出檔案名",
+    "When using 'Save' button, only save a single selected image": "使用「保存」按鈕時，只保存一個選定的圖像",
+    "Do not add watermark to images": "不要給圖像加水印",
+    "Paths for saving": "保存路徑",
+    "Output directory for images; if empty, defaults to three directories below": "圖像的輸出目錄； 如果為空，則預設為以下三個目錄",
+    "Output directory for txt2img images": "文生圖的輸出目錄",
+    "Output directory for img2img images": "圖生圖的輸出目錄",
+    "Output directory for images from extras tab": "後處理的輸出目錄",
+    "Output directory for grids; if empty, defaults to two directories below": "概覽圖的輸出目錄； 如果為空，則預設為以下兩個目錄",
+    "Output directory for txt2img grids": "文生圖概覽的輸出目錄",
+    "Output directory for img2img grids": "圖生圖概覽的輸出目錄",
+    "Directory for saving images using the Save button": "使用「保存」按鈕保存圖像的目錄",
+    "Saving to a directory": "保存到目錄",
+    "Save images to a subdirectory": "將圖像保存到子目錄",
+    "Save grids to a subdirectory": "將概覽圖保存到子目錄",
+    "When using \"Save\" button, save images to a subdirectory": "使用「保存」按鈕時，將圖像保存到子目錄",
+    "Directory name pattern": "目錄名稱格式",
+    "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示詞數量",
+    "Upscaling": "放大",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的圖塊尺寸。0 = 不分塊",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 的圖塊重疊畫素。低值 = 可見接縫",
+    "Tile size for all SwinIR.": "適用所有 SwinIR 系算法的圖塊尺寸",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR 的圖塊重疊畫素。低值 = 可見接縫",
+    "LDSR processing steps. Lower = faster": "LDSR 處理迭代步數。更低 = 更快",
+    "Upscaler for img2img": "圖生圖的放大算法",
+    "Upscale latent space image when doing hires. fix": "做高解析度修復時也放大潛空間圖像",
+    "Face restoration": "面部修復",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 權重參數； 0 = 最大效果； 1 = 最小效果",
+    "Move face restoration model from VRAM into RAM after processing": "面部修復處理完成後將面部修復模型從顯存(VRAM)移至內存(RAM)",
+    "System": "系統",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成圖像時每秒輪詢顯存(VRAM)使用情況的次數。設定為 0 以禁用",
+    "Always print all generation info to standard output": "始終將所有生成信息輸出到 standard output (一般為控制台)",
+    "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二個進度列，顯示整個作業的進度",
+    "Training": "訓練",
+    "Unload VAE and CLIP from VRAM when training": "訓練時從顯存(VRAM)中取消 VAE 和 CLIP 的加載",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "訓練時將 VAE 和 CLIP 從顯存(VRAM)移放到內存(RAM)，節省顯存(VRAM)",
+    "Filename word regex": "檔案名用詞的正則表達式",
+    "Filename join string": "檔案名連接用字符串",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每個 epoch 中單個輸入圖像的重複次數； 僅用於顯示 epoch 數",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一個包含 loss 的CSV到日誌目錄，0 表示禁用",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "緩存在內存(RAM)中的模型",
+    "Hypernetwork strength": "Hypernetwork 強度",
+    "Apply color correction to img2img results to match original colors.": "對圖生圖結果應用顏色校正以匹配原始顏色",
+    "Save a copy of image before applying color correction to img2img results": "在對圖生圖結果應用顏色校正之前保存圖像副本",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在進行圖生圖的時候，確切地執行滑塊指定的迭代步數（正常情況下更弱的去噪需要更少的迭代步數）",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 採樣器中啟用量化以獲得更清晰、更清晰的結果。這可能會改變現有的隨機種子。需要重新啟動才能應用",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "強調符：使用 (文字) 使模型更關注該文本，使用 [文字] 使其減少關注",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用舊的強調符實現。可用於復現舊隨機種子",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 採樣器批量生成與生成單個圖像時產出相同的圖像",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "當使用超過 75 個 token 時，通過從 n 個 token 中的最後一個逗號填補來提高一致性",
+    "Filter NSFW content": "過濾成人內容",
+    "Stop At last layers of CLIP model": "在 CLIP 模型的最後哪一層停下",
+    "Interrogate Options": "反推提示詞選項",
+    "Interrogate: keep models in VRAM": "反推: 將模型保存在顯存(VRAM)中",
+    "Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的藝術家",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "反推: 在生成結果中包含與模型標籤相匹配的等級（對基於生成自然語言描述的反推沒有影響）",
+    "Interrogate: num_beams for BLIP": "反推: BLIP 的 num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "反推: 最小描述長度（不包括藝術家, 等…）",
+    "Interrogate: maximum description length": "反推: 最大描述長度",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: 文本檔案中的最大行數（0 = 無限制）",
+    "Interrogate: deepbooru score threshold": "反推: deepbooru 分數閾值",
+    "Interrogate: deepbooru sort alphabetically": "反推: deepbooru 按字母順序排序",
+    "use spaces for tags in deepbooru": "在 deepbooru 中為標籤使用空格",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "在 deepbooru 中使用轉義 (\\) 括號（因此它們用作文字括號而不是強調符號）",
+    "User interface": "用戶界面",
+    "Show progressbar": "顯示進度列",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 個採樣迭代步數顯示圖像生成進度。設定 0 禁用",
+    "Show previews of all images generated in a batch as a grid": "以網格的形式預覽所有批量生成出來的圖像",
+    "Show grid in results for web": "在網頁的結果中顯示概覽圖",
+    "Do not show any images in results for web": "不在網頁的結果中顯示任何圖像",
+    "Add model hash to generation information": "將模型的雜湊值添加到生成信息",
+    "Add model name to generation information": "將模型名稱添加到生成信息",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "當從文本讀取生成參數到 UI（從 PNG 信息或粘貼文本）時，不要更改選定的模型",
+    "Font for image grids that have text": "有文字的概覽圖使用的字體",
+    "Enable full page image viewer": "啟用整頁圖像查看器",
+    "Show images zoomed in by default in full page image viewer": "在整頁圖像查看器中預設放大顯示圖像",
+    "Show generation progress in window title.": "在窗口標題中顯示生成進度",
+    "Quicksettings list": "快速設定列表",
+    "Localization (requires restart)": "本地化（需要重新啟動）",
+    "Sampler parameters": "採樣器參數",
+    "Hide samplers in user interface (requires restart)": "在用戶界面中隱藏採樣器（需要重新啟動）",
+    "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪聲乘數) ",
+    "eta (noise multiplier) for ancestral samplers": "ancestral 採樣器的 eta (噪聲乘數)",
+    "img2img DDIM discretize": "圖生圖 DDIM 離散化",
+    "uniform": "均勻",
+    "quad": "二階",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "最小(tmin) sigma",
+    "sigma noise": "sigma 噪聲",
+    "Eta noise seed delta": "Eta 噪聲種子偏移(noise seed delta)",
+    "Images Browser": "圖庫瀏覽器",
+    "Preload images at startup": "在啟動時預載圖像",
+    "Number of columns on the page": "每頁列數",
+    "Number of rows on the page": "每頁行數",
+    "Number of pictures displayed on each page": "每頁顯示的圖像數量",
+    "Minimum number of pages per load": "每次加載的最小頁數",
+    "Number of grids in each row": "每行顯示多少格",
+    "Wildcards": "通配符",
+    "Use same seed for all images": "為所有圖像使用同一個隨機種子",
+    "Request browser notifications": "請求瀏覽器通知",
+    "Download localization template": "下載本地化模板",
+    "Reload custom script bodies (No ui updates, No restart)": "重新加載自定義腳本主體（無UI更新，無重啟）",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重啟 Gradio 及刷新組件（僅限自定義腳本、ui.py、JS 和 CSS）",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示詞（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示詞（按 Ctrl+Enter 或 Alt+Enter 生成）",
+    "Add a random artist to the prompt.": "隨機添加一個藝術家到提示詞中",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "從提示詞中讀取生成參數，如果提示詞為空，則讀取上一次的生成參數到用戶界面",
+    "Save style": "存儲為模板風格",
+    "Apply selected styles to current prompt": "將所選樣式應用於當前提示",
+    "Stop processing current image and continue processing.": "停止處理當前圖像並繼續處理下一個",
+    "Stop processing images and return any results accumulated so far.": "停止處理圖像並返回迄今為止累積的任何結果",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要應用的模版風格； 模版風格包含正向和反向提示詞，並應用於兩者",
+    "Do not do anything special": "什麼都不做",
+    "Which algorithm to use to produce the image": "使用哪種算法生成圖像",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有創意，可以根據迭代步數獲得完全不同的圖像，將迭代步數設定為高於 30-40 不會有正面作用",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅長內補繪製",
+    "Produce an image that can be tiled.": "生成可用於平舖的圖像",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用兩步處理的時候以較小的解析度生成初步圖像、接著放大圖像，然後在不更改構圖的情況下改進其中的細節",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "決定算法對圖像內容的影響程度。設定 0 時，什麼都不會改變，而在 1 時，你將獲得不相關的圖像。值低於 1.0 時，處理的迭代步數將少於「採樣迭代步數」滑塊指定的步數",
+    "How many batches of images to create": "創建多少批次的圖像",
+    "How many image to create in a single batch": "每批創建多少圖像",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 圖像應在多大程度上服從提示詞 - 較低的值會產生更有創意的結果",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一個固定隨機數生成器輸出的值 - 以相同參數和隨機種子生成的圖像會得到相同的結果",
+    "Set seed to -1, which will cause a new random number to be used every time": "將隨機種子設定為-1，則每次都會使用一個新的隨機數",
+    "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的隨機種子，如果想要固定結果就會很有用",
+    "Seed of a different picture to be mixed into the generation.": "將要參與生成的另一張圖的隨機種子",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "想要產生多強烈的變化。設為 0 時，將沒有效果。設為 1 時，你將獲得完全產自差異隨機種子的圖像（ancestral 採樣器除外，你只是單純地生成了一些東西）",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "嘗試生成與在指定解析度下使用相同隨機種子生成的圖像相似的圖片",
+    "This text is used to rotate the feature space of the imgs embs": "此文本用於旋轉圖集 embeddings 的特徵空間",
+    "Separate values for X axis using commas.": "使用逗號分隔 X 軸的值",
+    "Separate values for Y axis using commas.": "使用逗號分隔 Y 軸的值",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "將圖像寫入目錄（預設 - log/images）並將生成參數寫入CSV檔案",
+    "Open images output directory": "打開圖像輸出目錄",
+    "How much to blur the mask before processing, in pixels.": "處理前要對蒙版進行多強的模糊，以畫素為單位",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 處理蒙版區域之前要在蒙版區域內放置什麼",
+    "fill it with colors of the image": "用圖像的顏色填充它",
+    "keep whatever was there originally": "保留原來的内容",
+    "fill it with latent space noise": "用潛空間的噪聲填充它",
+    "fill it with latent space zeroes": "用潛空間的零填充它",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "將蒙版區域放大到目標解析度，做內補繪製，縮小後粘貼到原始圖像中",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "將圖像大小調整為目標解析度。除非高度和寬度匹配，否則你將獲得不正確的縱橫比",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "調整圖像大小，使整個目標解析度都被圖像填充。裁剪多出來的部分",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "調整圖像大小，使整個圖像在目標解析度內。用圖像的顏色填充空白區域",
+    "How many times to repeat processing an image and using it as input for the next iteration": "重複處理圖像並用作下次迭代輸入的次數",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每個循環中，去噪強度都會乘以該值。<1 表示減少多樣性，因此你的這一組圖將集中在固定的圖像上。>1 意味著增加多樣性，因此你的這一組圖將變得越來越混亂",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大時，圖塊之間應該有多少畫素重疊。圖塊之間需要重疊才可以讓它們在合併回一張圖像時，沒有清晰可見的接縫",
+    "A directory on the same machine where the server is running.": "與伺服器主機上的目錄",
+    "Leave blank to save images to the default path.": "留空以將圖像保存到預設路徑",
+    "Result = A * (1 - M) + B * M": "結果 = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "結果 = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "第一個和最後一個數字必須是 1。例:'1, 2, 1'",
+    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "訓練應該多快。低值將需要更長的時間來訓練，高值可能無法收斂（無法產生準確的結果）以及/也許可能會破壞 embedding（如果你在訓練信息文本框中看到 Loss: nan 就會發生這種情況。如果發生這種情況，你需要從較舊的未損壞的備份手動恢復 embedding）\n\n你可以使用以下語法設定單個數值或多個學習率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步將以 0.005 的速率訓練，接著直到 1000 步為止以 1e-3 訓練，然後剩餘所有步以 1e-5 訓練",
+    "Path to directory with input images": "帶有輸入圖像的路徑",
+    "Path to directory where to write outputs": "進行輸出的路徑",
+    "Input images directory": "輸入圖像目錄",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下標籤定義如何選擇圖像的檔案名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 預設請留空",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果啟用此選項，水印將不會添加到生成出來的圖像中。警告：如果你不添加水印，你的行為可能是不符合道德操守的",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下標籤定義如何選擇圖像和概覽圖的子目錄: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 預設請留空",
+    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神經網路修復低質量面部",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正則表達式將用於從檔案名中提取單詞，並將使用以下選項將它們接合到用於訓練的標籤文本中。留空以保持檔案名文本不變",
+    "This string will be used to join split words into a single line if the option above is enabled.": "如果啟用了上述選項，則此處的字符會用於將拆分的單詞接合為同一行",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "設定名稱列表，以逗號分隔，設定應轉到頂部的快速訪問欄，而不是通常的設定選項卡。有關設定名稱，請參見 modules/shared.py。需要重新啟動才能應用",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果這個值不為零，它將被添加到隨機種子中，並在使用帶有 Eta 的採樣器時用於初始化隨機噪聲。你可以使用它來產生更多的圖像變化，或者你可以使用它來模仿其他軟件生成的圖像，如果你知道你在做什麼",
+    "Enable Autocomplete": "開啟Tag補全",
+    "Allowed categories for random artists selection when using the Roll button": "使用抽選藝術家按鈕時將會隨機的藝術家類別",
+    "Roll three": "抽三位出來",
+    "Generate forever": "不停地生成",
+    "Cancel generate forever": "取消不停地生成"
+}

From b2e0d8ba789b345145436f6e960a3f0a896a6643 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Wed, 26 Oct 2022 09:54:26 -0300
Subject: [PATCH 214/321] Remove folder endpoint

---
 modules/api/api.py    | 9 ---------
 modules/api/models.py | 6 +-----
 2 files changed, 1 insertion(+), 14 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index ca289d9f..49c213ea 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -32,7 +32,6 @@ class Api:
         self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
-        self.app.add_api_route("/sdapi/v1/extra-folder-images", self.extras_folder_processing_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -126,14 +125,6 @@ class Api:
 
         return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
     
-    def extras_folder_processing_api(self, req:ExtrasFoldersRequest):
-        reqDict = setUpscalers(req)
-
-        with self.queue_lock:
-            result = run_extras(extras_mode=2, image=None, image_folder=None, **reqDict)
-
-        return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
-
     def pnginfoapi(self):
         raise NotImplementedError
 
diff --git a/modules/api/models.py b/modules/api/models.py
index 00406368..dd122321 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -148,8 +148,4 @@ class ExtrasBatchImagesRequest(ExtrasBaseRequest):
     imageList: list[FileData] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
 
 class ExtrasBatchImagesResponse(ExtraBaseResponse):
-    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
-
-class ExtrasFoldersRequest(ExtrasBaseRequest):
-    input_dir: str = Field(title="Input directory", description="Directory path from where to take the images")
-    output_dir: str = Field(title="Output directory", description="Directory path to put the processsed images into")
+    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
\ No newline at end of file

From 737eb28faca8be2bb996ee0930ec77d1f7ebd939 Mon Sep 17 00:00:00 2001
From: DepFA <35278260+dfaker@users.noreply.github.com>
Date: Wed, 26 Oct 2022 14:45:33 +0100
Subject: [PATCH 215/321] typo: cmd_opts.embedding_dir to
 cmd_opts.embeddings_dir

---
 modules/textual_inversion/textual_inversion.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 4fcebe74..ff002d3e 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -380,7 +380,7 @@ Last saved image: {html.escape(last_saved_image)}<br/>
     embedding.cached_checksum = None
     # Before saving for the last time, change name back to base name (as opposed to the save_embedding_every step-suffixed naming convention).
     embedding.name = embedding_name
-    filename = os.path.join(shared.cmd_opts.embedding_dir, f'{embedding.name}.pt')
+    filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding.name}.pt')
     embedding.save(filename)
 
     return embedding, filename

From fddb4883f4a408b3464076465e1b0949ebe0fc30 Mon Sep 17 00:00:00 2001
From: evshiron <evshiron@gmail.com>
Date: Wed, 26 Oct 2022 22:33:45 +0800
Subject: [PATCH 216/321] prototype progress api

---
 modules/api/api.py | 89 ++++++++++++++++++++++++++++++++++++++--------
 modules/shared.py  | 13 +++++++
 2 files changed, 88 insertions(+), 14 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 6e9d6097..c038f674 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,8 +1,11 @@
+import time
+
 from modules.api.models import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
 from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.sd_samplers import all_samplers
 from modules.extras import run_pnginfo
 import modules.shared as shared
+from modules import devices
 import uvicorn
 from fastapi import Body, APIRouter, HTTPException
 from fastapi.responses import JSONResponse
@@ -25,6 +28,37 @@ class ImageToImageResponse(BaseModel):
     parameters: Json
     info: Json
 
+class ProgressResponse(BaseModel):
+    progress: float
+    eta_relative: float
+    state: Json
+
+# copy from wrap_gradio_gpu_call of webui.py
+# because queue lock will be acquired in api handlers
+# and time start needs to be set
+# the function has been modified into two parts
+
+def before_gpu_call():
+    devices.torch_gc()
+
+    shared.state.sampling_step = 0
+    shared.state.job_count = -1
+    shared.state.job_no = 0
+    shared.state.job_timestamp = shared.state.get_job_timestamp()
+    shared.state.current_latent = None
+    shared.state.current_image = None
+    shared.state.current_image_sampling_step = 0
+    shared.state.skipped = False
+    shared.state.interrupted = False
+    shared.state.textinfo = None
+    shared.state.time_start = time.time()
+
+
+def after_gpu_call():
+    shared.state.job = ""
+    shared.state.job_count = 0
+
+    devices.torch_gc()
 
 class Api:
     def __init__(self, app, queue_lock):
@@ -33,6 +67,7 @@ class Api:
         self.queue_lock = queue_lock
         self.app.add_api_route("/sdapi/v1/txt2img", self.text2imgapi, methods=["POST"])
         self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"])
+        self.app.add_api_route("/sdapi/v1/progress", self.progressapi, methods=["GET"])
 
     def __base64_to_image(self, base64_string):
         # if has a comma, deal with prefix
@@ -44,12 +79,12 @@ class Api:
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
-        
+
         if sampler_index is None:
-            raise HTTPException(status_code=404, detail="Sampler not found") 
-        
+            raise HTTPException(status_code=404, detail="Sampler not found")
+
         populate = txt2imgreq.copy(update={ # Override __init__ params
-            "sd_model": shared.sd_model, 
+            "sd_model": shared.sd_model,
             "sampler_index": sampler_index[0],
             "do_not_save_samples": True,
             "do_not_save_grid": True
@@ -57,9 +92,11 @@ class Api:
         )
         p = StableDiffusionProcessingTxt2Img(**vars(populate))
         # Override object param
+        before_gpu_call()
         with self.queue_lock:
             processed = process_images(p)
-        
+        after_gpu_call()
+
         b64images = []
         for i in processed.images:
             buffer = io.BytesIO()
@@ -67,30 +104,30 @@ class Api:
             b64images.append(base64.b64encode(buffer.getvalue()))
 
         return TextToImageResponse(images=b64images, parameters=json.dumps(vars(txt2imgreq)), info=processed.js())
-        
-        
+
+
 
     def img2imgapi(self, img2imgreq: StableDiffusionImg2ImgProcessingAPI):
         sampler_index = sampler_to_index(img2imgreq.sampler_index)
-        
+
         if sampler_index is None:
-            raise HTTPException(status_code=404, detail="Sampler not found") 
+            raise HTTPException(status_code=404, detail="Sampler not found")
 
 
         init_images = img2imgreq.init_images
         if init_images is None:
-            raise HTTPException(status_code=404, detail="Init image not found") 
+            raise HTTPException(status_code=404, detail="Init image not found")
 
         mask = img2imgreq.mask
         if mask:
             mask = self.__base64_to_image(mask)
 
-        
+
         populate = img2imgreq.copy(update={ # Override __init__ params
-            "sd_model": shared.sd_model, 
+            "sd_model": shared.sd_model,
             "sampler_index": sampler_index[0],
             "do_not_save_samples": True,
-            "do_not_save_grid": True, 
+            "do_not_save_grid": True,
             "mask": mask
             }
         )
@@ -103,9 +140,11 @@ class Api:
 
         p.init_images = imgs
         # Override object param
+        before_gpu_call()
         with self.queue_lock:
             processed = process_images(p)
-        
+        after_gpu_call()
+
         b64images = []
         for i in processed.images:
             buffer = io.BytesIO()
@@ -118,6 +157,28 @@ class Api:
 
         return ImageToImageResponse(images=b64images, parameters=json.dumps(vars(img2imgreq)), info=processed.js())
 
+    def progressapi(self):
+        # copy from check_progress_call of ui.py
+
+        if shared.state.job_count == 0:
+            return ProgressResponse(progress=0, eta_relative=0, state=shared.state.js())
+
+        # avoid dividing zero
+        progress = 0.01
+
+        if shared.state.job_count > 0:
+            progress += shared.state.job_no / shared.state.job_count
+        if shared.state.sampling_steps > 0:
+            progress += 1 / shared.state.job_count * shared.state.sampling_step / shared.state.sampling_steps
+
+        time_since_start = time.time() - shared.state.time_start
+        eta = (time_since_start/progress)
+        eta_relative = eta-time_since_start
+
+        progress = min(progress, 1)
+
+        return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.js())
+
     def extrasapi(self):
         raise NotImplementedError
 
diff --git a/modules/shared.py b/modules/shared.py
index 1a9b8289..00f61898 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -146,6 +146,19 @@ class State:
     def get_job_timestamp(self):
         return datetime.datetime.now().strftime("%Y%m%d%H%M%S")  # shouldn't this return job_timestamp?
 
+    def js(self):
+        obj = {
+            "skipped": self.skipped,
+            "interrupted": self.skipped,
+            "job": self.job,
+            "job_count": self.job_count,
+            "job_no": self.job_no,
+            "sampling_step": self.sampling_step,
+            "sampling_steps": self.sampling_steps,
+        }
+
+        return json.dumps(obj)
+
 
 state = State()
 

From 57450003a9d1d530f88ecc603eb1b8a344180961 Mon Sep 17 00:00:00 2001
From: Eugenio Buffo <buffo.eugenio@gmail.com>
Date: Wed, 26 Oct 2022 17:32:35 +0200
Subject: [PATCH 217/321] Added localizations/it_IT.json

---
 localizations/it_IT.json | 492 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 492 insertions(+)
 create mode 100644 localizations/it_IT.json

diff --git a/localizations/it_IT.json b/localizations/it_IT.json
new file mode 100644
index 00000000..6151ed1c
--- /dev/null
+++ b/localizations/it_IT.json
@@ -0,0 +1,492 @@
+{
+  "⤡": "⤡",
+  "⊞": "⊞",
+  "×": "×",
+  "❮": "❮",
+  "❯": "❯",
+  "Loading...": "Caricamento...",
+  "view": "mostra ",
+  "api": "API",
+  "•": "•",
+  "built with gradio": "Sviluppato con Gradio",
+  "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+  "txt2img": "txt2img",
+  "img2img": "img2img",
+  "Extras": "Extras",
+  "PNG Info": "PNG Info",
+  "Checkpoint Merger": "Checkpoint Merger",
+  "Train": "Train",
+  "Image Browser": "Galleria Immagini",
+  "Settings": "Impostazioni",
+  "Prompt": "Prompt",
+  "Negative prompt": "Prompt negativo",
+  "Run": "Esegui",
+  "Skip": "Salta",
+  "Interrupt": "Interrompi",
+  "Generate": "Genera",
+  "Style 1": "Stile 1",
+  "Style 2": "Stile 2",
+  "Label": "Etichetta",
+  "File": "File",
+  "Drop File Here": "Trascina il file qui",
+  "-": "-",
+  "or": "o",
+  "Click to Upload": "Clicca per caricare",
+  "Image": "Immagine",
+  "Check progress": "Verifica progresso",
+  "Check progress (first)": "Verifica progresso (iniziale)",
+  "Sampling Steps": "Sampling Steps",
+  "Sampling method": "Sampling method",
+  "Euler a": "Euler a",
+  "Euler": "Euler",
+  "LMS": "LMS",
+  "Heun": "Heun",
+  "DPM2": "DPM2",
+  "DPM2 a": "DPM2 a",
+  "DPM fast": "DPM fast",
+  "DPM adaptive": "DPM adaptive",
+  "LMS Karras": "LMS Karras",
+  "DPM2 Karras": "DPM2 Karras",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DDIM": "DDIM",
+  "PLMS": "PLMS",
+  "Width": "Larghezza",
+  "Height": "Altezza",
+  "Restore faces": "Ripristina volti",
+  "Tiling": "Tiling",
+  "Highres. fix": "Highres. fix",
+  "Firstpass width": "Larghezza del primo step",
+  "Firstpass height": "Altezza del primo step",
+  "Denoising strength": "Denoising strength",
+  "Batch count": "Batch count",
+  "Batch size": "Batch size",
+  "CFG Scale": "CFG Scale",
+  "Seed": "Seed",
+  "Extra": "Extra",
+  "Variation seed": "Variation seed",
+  "Variation strength": "Variation strength",
+  "Resize seed from width": "Ridimensiona seed da larghezza",
+  "Resize seed from height": "Ridimensiona seed da altezza",
+  "Script": "Script",
+  "None": "Nessuno",
+  "Prompt matrix": "Prompt matrix",
+  "Prompts from file or textbox": "Prompts da file o casella di testo",
+  "X/Y plot": "X/Y plot",
+  "Put variable parts at start of prompt": "Inserisce una parte variabile all'inizio del prompt",
+  "Iterate seed every line": "Itera seed per ogni linea",
+  "List of prompt inputs": "Lista dei prompt in input",
+  "Upload prompt inputs": "Carica prompt di input",
+  "Show Textbox": "Mostra la casella di testo",
+  "File with inputs": "File con input",
+  "Prompts": "Prompts",
+  "X type": "X type",
+  "Nothing": "Nulla",
+  "Var. seed": "Var. seed",
+  "Var. strength": "Var. strength",
+  "Steps": "Steps",
+  "Prompt order": "Prompt order",
+  "Sampler": "Sampler",
+  "Checkpoint name": "Checkpoint name",
+  "Hypernetwork": "Hypernetwork",
+  "Hypernet str.": "Hypernet str.",
+  "Sigma Churn": "Sigma Churn",
+  "Sigma min": "Sigma min",
+  "Sigma max": "Sigma max",
+  "Sigma noise": "Sigma noise",
+  "Eta": "Eta",
+  "Clip skip": "Clip skip",
+  "Denoising": "Denoising",
+  "X values": "X values",
+  "Y type": "Y type",
+  "Y values": "Y values",
+  "Draw legend": "Disegna legenda",
+  "Include Separate Images": "Includi immagini separate",
+  "Keep -1 for seeds": "Mantieni il seed a -1",
+  "Drop Image Here": "Trascina l'immagine qui",
+  "Save": "Salva",
+  "Send to img2img": "Invia a img2img",
+  "Send to inpaint": "Invia a inpaint",
+  "Send to extras": "Invia a extras",
+  "Make Zip when Save?": "Creare Zip al salvataggio?",
+  "Textbox": "Casella di testo",
+  "Interrogate\nCLIP": "Interroga\nCLIP",
+  "Inpaint": "Inpaint",
+  "Batch img2img": "Batch img2img",
+  "Image for img2img": "Immagine per img2img",
+  "Image for inpainting with mask": "Immagine per inpainting con maschera",
+  "Mask": "Mask",
+  "Mask blur": "Maschera sfocatura",
+  "Mask mode": "Modalità maschera",
+  "Draw mask": "Disegna maschera",
+  "Upload mask": "Carica maschera",
+  "Masking mode": "Modalità mascheramento",
+  "Inpaint masked": "Inpaint mascherato",
+  "Inpaint not masked": "Inpaint non mascherato",
+  "Masked content": "Maschera contenuto",
+  "fill": "riempi",
+  "original": "originale",
+  "latent noise": "latent noise",
+  "latent nothing": "latent nothing",
+  "Inpaint at full resolution": "Inpaint alla massima risoluzione",
+  "Inpaint at full resolution padding, pixels": "Inpaint alla massima risoluzione padding, pixels",
+  "Process images in a directory on the same machine where the server is running.": "Processa le immagini in una cartella nella stessa macchina in cui il server è stato lanciato.",
+  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usa una cartella di output vuota per salvare le immagini normalmente invece di scrivere nella cartella di output",
+  "Input directory": "Cartella di Input",
+  "Output directory": "Cartella di Output",
+  "Resize mode": "Modalità ridimensionamento",
+  "Just resize": "Solo ridimensionamento",
+  "Crop and resize": "Taglia e Ridimensiona",
+  "Resize and fill": "Ridimensiona e Riempi",
+  "img2img alternative test": "img2img alternative test",
+  "Loopback": "Loopback",
+  "Outpainting mk2": "Outpainting mk2",
+  "Poor man's outpainting": "Poor man's outpainting",
+  "SD upscale": "SD upscale",
+  "should be 2 or lower.": "deve essere 2 o inferiore.",
+  "Override `Sampling method` to Euler?(this method is built for it)": "Ripristinare il `Sampling method` in Euler?(metodo di default)",
+  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Ripristinare il `prompt` al valore del `prompt originale`? (e `prompt negativo`)",
+  "Original prompt": "Prompt originale",
+  "Original negative prompt": "Promp negativo originale",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "Ripristinare il `Sampling Steps` al valore di `Decode steps`?",
+  "Decode steps": "Decode steps",
+  "Override `Denoising strength` to 1?": "Ripristinare `Denoising strength` a 1?",
+  "Decode CFG scale": "Decode CFG scale",
+  "Randomness": "Casualità",
+  "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image. ",
+  "Loops": "Loops",
+  "Denoising strength change factor": "Denoising strength change factor",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Impostazioni Raccomandate: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
+  "Pixels to expand": "Pixels to expand",
+  "Outpainting direction": "Direzione Outpainting",
+  "left": "sinistra",
+  "right": "destra",
+  "up": "su",
+  "down": "giù",
+  "Fall-off exponent (lower=higher detail)": "Fall-off exponent (inferiore=maggiori dettagli)",
+  "Color variation": "Variazione del colore",
+  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Verrà effettuato l'upscale dell'immagine di due volte le sue dimensioni; usa gli sliders di larghezza e altezza per configurare la dimensione del tile",
+  "Tile overlap": "Sovrapposizione Tile",
+  "Upscaler": "Upscaler",
+  "Lanczos": "Lanczos",
+  "LDSR": "LDSR",
+  "SwinIR 4x": "SwinIR 4x",
+  "ScuNET GAN": "ScuNET GAN",
+  "ScuNET PSNR": "ScuNET PSNR",
+  "ESRGAN_4x": "ESRGAN_4x",
+  "Single Image": "Singola Immagine",
+  "Batch Process": "Batch Process",
+  "Batch from Directory": "Batch da Cartella",
+  "Source": "Sorgente",
+  "Show result images": "Mostra risultati",
+  "Scale by": "Scala di",
+  "Scale to": "Scala a",
+  "Resize": "Ridimensionamento",
+  "Crop to fit": "Taglia per adeguare",
+  "Upscaler 2 visibility": "Visibilità Upscaler 2",
+  "GFPGAN visibility": "Visibilità GFPGAN",
+  "CodeFormer visibility": "Visibilità CodeFormer",
+  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso CodeFormer (0 = effetto massimo, 1 = effetto minimo)",
+  "Open output directory": "Apri cartella di output",
+  "Send to txt2img": "Invia a txt2img",
+  "A merger of the two checkpoints will be generated in your": "Una fusione dei due checkpoint sarà generata nella ",
+  "checkpoint": "checkpoint",
+  "directory.": " directory.",
+  "Primary model (A)": "Primo modello (A)",
+  "Secondary model (B)": "Secondo modello (B)",
+  "Tertiary model (C)": "Terzo modello (C)",
+  "Custom Name (Optional)": "Nome Personalizzato (opzionale)",
+  "Multiplier (M) - set to 0 to get model A": "Moltiplicatore (M) - Imposta 0 per ottenere il modello A",
+  "Interpolation Method": "Metodo di Interpolazione",
+  "Weighted sum": "Somma pesata",
+  "Add difference": "Add difference",
+  "Save as float16": "Salva come float16",
+  "See": "Verifica la ",
+  "wiki": "wiki ",
+  "for detailed explanation.": "per una spiegazione dettagliata.",
+  "Create embedding": "Crea embedding",
+  "Create hypernetwork": "Crea hypernetwork",
+  "Preprocess images": "Pre-processa immagini",
+  "Name": "Nome",
+  "Initialization text": "Testo di Inizializzazione",
+  "Number of vectors per token": "Numero di vettori per token",
+  "Overwrite Old Embedding": "Sovrascrivi Vecchio Embedding",
+  "Modules": "Moduli",
+  "Enter hypernetwork layer structure": "Inserisci la struttura livelli dell'hypernetwork",
+  "Select activation function of hypernetwork": "Seleziona la funzione di attivazione dell'hypernetwork",
+  "linear": "linear",
+  "relu": "relu",
+  "leakyrelu": "leakyrelu",
+  "elu": "elu",
+  "swish": "swish",
+  "tanh": "tanh",
+  "sigmoid": "sigmoid",
+  "celu": "celu",
+  "gelu": "gelu",
+  "glu": "glu",
+  "hardshrink": "hardshrink",
+  "hardsigmoid": "hardsigmoid",
+  "hardswish": "hardswish",
+  "hardtanh": "hardtanh",
+  "logsigmoid": "logsigmoid",
+  "logsoftmax": "logsoftmax",
+  "mish": "mish",
+  "multiheadattention": "multiheadattention",
+  "prelu": "prelu",
+  "rrelu": "rrelu",
+  "relu6": "relu6",
+  "selu": "selu",
+  "silu": "silu",
+  "softmax": "softmax",
+  "softmax2d": "softmax2d",
+  "softmin": "softmin",
+  "softplus": "softplus",
+  "softshrink": "softshrink",
+  "softsign": "softsign",
+  "tanhshrink": "tanhshrink",
+  "threshold": "threshold",
+  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Seleziona Inizializzazione dei pesi dei livelli. (relu-like: Kaiming, sigmoid-like: Xavier). Xavier è raccomandato",
+  "Normal": "Normal",
+  "KaimingUniform": "KaimingUniform",
+  "KaimingNormal": "KaimingNormal",
+  "XavierUniform": "XavierUniform",
+  "XavierNormal": "XavierNormal",
+  "Add layer normalization": "Aggiungi normalizzazione dei livelli",
+  "Use dropout": "Usa dropout",
+  "Overwrite Old Hypernetwork": "Sovrascrivi Vecchio Hypernetwork",
+  "Source directory": "Cartella sorgente",
+  "Destination directory": "Cartella di destinazione",
+  "Existing Caption txt Action": "Azione in caso di didascalia già presente",
+  "ignore": "ignora",
+  "copy": "copia",
+  "prepend": "anteponi",
+  "append": "apponi",
+  "Create flipped copies": "Crea copie specchiate",
+  "Split oversized images": "Dividi immagini grandi",
+  "Use BLIP for caption": "Usa BLIP per la didascalia",
+  "Use deepbooru for caption": "Usa deepbooru per la didascalia",
+  "Split image threshold": "Dividi Threshold immagine",
+  "Split image overlap ratio": "Rapporto di sovrapposizione dell'immagine",
+  "Preprocess": "Preprocessa",
+  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images",
+  "[wiki]": "[wiki]",
+  "Embedding": "Embedding",
+  "Embedding Learning rate": "Embedding Learning rate",
+  "Hypernetwork Learning rate": "Hypernetwork Learning rate",
+  "Dataset directory": "Cartella dataset",
+  "Log directory": "Cartella log",
+  "Prompt template file": "Prompt template file",
+  "Max steps": "Max steps",
+  "Save an image to log directory every N steps, 0 to disable": "Salva un'immagine ogni N step, 0 per disabilitare",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "Salva una copia dell'embedding nella cartella log ogni N step, 0 per disabilitare",
+  "Save images with embedding in PNG chunks": "Salva le immagini con embedding in PNG",
+  "Read parameters (prompt, etc...) from txt2img tab when making previews": "Usa i parametri (prompt, etc...) di txt2img per visualizzare le anteprime",
+  "Train Hypernetwork": "Train Hypernetwork",
+  "Train Embedding": "Train Embedding",
+  "extras": "Extra",
+  "favorites": "Preferiti",
+  "custom fold": "Cartella personalizzata",
+  "Load": "Carica",
+  "Images directory": "Cartella Immagini",
+  "Prev batch": "Batch Precedente",
+  "Next batch": "Batch Successivo",
+  "First Page": "Prima Pagina",
+  "Prev Page": "Pagina Precedente",
+  "Page Index": "Indice Pagina",
+  "Next Page": "Pagina Successiva",
+  "End Page": "Pagina Finale",
+  "number of images to delete consecutively next": "numero di immagini da eliminare consecutivamente a seguire",
+  "Delete": "Elimina",
+  "Generate Info": "Genera Info",
+  "File Name": "Nome File",
+  "Collect": "Ottieni",
+  "Refresh page": "Aggiorna Pagina",
+  "Date to": "Data fine",
+  "Number": "Numero",
+  "set_index": "set_index",
+  "Checkbox": "Checkbox",
+  "Apply settings": "Applica impostazioni",
+  "Saving images/grids": "Salvataggio immagini/griglie",
+  "Always save all generated images": "Salva sempre tutte le immagini generate",
+  "File format for images": "Formato file per le immagini",
+  "Images filename pattern": "Configura Pattern per il nome dei file immagine",
+  "Add number to filename when saving": "Aggiungi un numero al nome del file al salvataggio",
+  "Always save all generated image grids": "Salva sempre tutte le griglie delle immagini generate",
+  "File format for grids": "Formato file per le giglie",
+  "Add extended info (seed, prompt) to filename when saving grid": "Aggiungi informazioni estese (seed, prompt) al nome del file al salvataggio della griglia",
+  "Do not save grids consisting of one picture": "Non salvare griglie composte da una sola immagine",
+  "Prevent empty spots in grid (when set to autodetect)": "Previeni spazi vuoti nella griglia",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
+  "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
+  "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
+  "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
+  "Quality for saved jpeg images": "Quality for saved jpeg images",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
+  "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
+  "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
+  "Do not add watermark to images": "Do not add watermark to images",
+  "Paths for saving": "Paths for saving",
+  "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
+  "Output directory for txt2img images": "Output directory for txt2img images",
+  "Output directory for img2img images": "Output directory for img2img images",
+  "Output directory for images from extras tab": "Output directory for images from extras tab",
+  "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
+  "Output directory for txt2img grids": "Output directory for txt2img grids",
+  "Output directory for img2img grids": "Output directory for img2img grids",
+  "Directory for saving images using the Save button": "Directory for saving images using the Save button",
+  "Saving to a directory": "Saving to a directory",
+  "Save images to a subdirectory": "Save images to a subdirectory",
+  "Save grids to a subdirectory": "Save grids to a subdirectory",
+  "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
+  "Directory name pattern": "Directory name pattern",
+  "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+  "Upscaling": "Upscaling",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
+  "Tile size for all SwinIR.": "Tile size for all SwinIR.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
+  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
+  "Upscaler for img2img": "Upscaler for img2img",
+  "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
+  "Face restoration": "Face restoration",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
+  "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
+  "System": "System",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
+  "Always print all generation info to standard output": "Always print all generation info to standard output",
+  "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+  "Training": "Training",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
+  "Filename word regex": "Filename word regex",
+  "Filename join string": "Filename join string",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+  "Stable Diffusion": "Stable Diffusion",
+  "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+  "Hypernetwork strength": "Hypernetwork strength",
+  "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
+  "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
+  "Filter NSFW content": "Filter NSFW content",
+  "Stop At last layers of CLIP model": "Stop At last layers of CLIP model",
+  "Interrogate Options": "Interrogate Options",
+  "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
+  "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
+  "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
+  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
+  "Interrogate: maximum description length": "Interrogate: maximum description length",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
+  "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
+  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
+  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
+  "User interface": "User interface",
+  "Show progressbar": "Show progressbar",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
+  "Show previews of all images generated in a batch as a grid": "Show previews of all images generated in a batch as a grid",
+  "Show grid in results for web": "Show grid in results for web",
+  "Do not show any images in results for web": "Do not show any images in results for web",
+  "Add model hash to generation information": "Add model hash to generation information",
+  "Add model name to generation information": "Add model name to generation information",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
+  "Font for image grids that have text": "Font for image grids that have text",
+  "Enable full page image viewer": "Enable full page image viewer",
+  "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
+  "Show generation progress in window title.": "Show generation progress in window title.",
+  "Quicksettings list": "Quicksettings list",
+  "Localization (requires restart)": "Localization (requires restart)",
+  "ar_AR": "ar_AR",
+  "es_ES": "es_ES",
+  "fr-FR": "fr-FR",
+  "it_IT": "it_IT",
+  "ja_JP": "ja_JP",
+  "ko_KR": "ko_KR",
+  "ru_RU": "ru_RU",
+  "tr_TR": "tr_TR",
+  "zh_CN": "zh_CN",
+  "Sampler parameters": "Sampler parameters",
+  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
+  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
+  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+  "img2img DDIM discretize": "img2img DDIM discretize",
+  "uniform": "uniform",
+  "quad": "quad",
+  "sigma churn": "sigma churn",
+  "sigma tmin": "sigma tmin",
+  "sigma noise": "sigma noise",
+  "Eta noise seed delta": "Eta noise seed delta",
+  "Images Browser": "Images Browser",
+  "Preload images at startup": "Preload images at startup",
+  "Number of columns on the page": "Number of columns on the page",
+  "Number of rows on the page": "Number of rows on the page",
+  "Minimum number of pages per load": "Minimum number of pages per load",
+  "Request browser notifications": "Request browser notifications",
+  "Download localization template": "Download localization template",
+  "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (press Ctrl+Enter or Alt+Enter to generate)",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)",
+  "Add a random artist to the prompt.": "Add a random artist to the prompt.",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
+  "Save style": "Save style",
+  "Apply selected styles to current prompt": "Apply selected styles to current prompt",
+  "Stop processing current image and continue processing.": "Stop processing current image and continue processing.",
+  "Stop processing images and return any results accumulated so far.": "Stop processing images and return any results accumulated so far.",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
+  "Do not do anything special": "Do not do anything special",
+  "Which algorithm to use to produce the image": "Which algorithm to use to produce the image",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - best at inpainting",
+  "Produce an image that can be tiled.": "Produce an image that can be tiled.",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
+  "How many batches of images to create": "How many batches of images to create",
+  "How many image to create in a single batch": "How many image to create in a single batch",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
+  "Set seed to -1, which will cause a new random number to be used every time": "Set seed to -1, which will cause a new random number to be used every time",
+  "Reuse seed from last generation, mostly useful if it was randomed": "Reuse seed from last generation, mostly useful if it was randomed",
+  "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
+  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
+  "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others",
+  "Separate values for X axis using commas.": "Separate values for X axis using commas.",
+  "Separate values for Y axis using commas.": "Separate values for Y axis using commas.",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
+  "Open images output directory": "Open images output directory",
+  "How much to blur the mask before processing, in pixels.": "How much to blur the mask before processing, in pixels.",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "What to put inside the masked area before processing it with Stable Diffusion.",
+  "fill it with colors of the image": "fill it with colors of the image",
+  "keep whatever was there originally": "keep whatever was there originally",
+  "fill it with latent space noise": "fill it with latent space noise",
+  "fill it with latent space zeroes": "fill it with latent space zeroes",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.",
+  "How many times to repeat processing an image and using it as input for the next iteration": "How many times to repeat processing an image and using it as input for the next iteration",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.",
+  "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
+  "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
+  "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "Result = A + (B - C) * M",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
+  "Path to directory with input images": "Path to directory with input images",
+  "Path to directory where to write outputs": "Path to directory where to write outputs",
+  "Input images directory": "Input images directory",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+  "Restore low quality faces using GFPGAN neural network": "Restore low quality faces using GFPGAN neural network",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
+  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
+  "Enable Autocomplete": "Enable Autocomplete"
+}

From 1a4216fabf2daabcf657a50e3b90e053c253a718 Mon Sep 17 00:00:00 2001
From: Eugenio Buffo <buffo.eugenio@gmail.com>
Date: Wed, 26 Oct 2022 19:45:36 +0200
Subject: [PATCH 218/321] Finalised IT localization file

---
 localizations/it_IT.json | 294 +++++++++++++++++++--------------------
 1 file changed, 147 insertions(+), 147 deletions(-)

diff --git a/localizations/it_IT.json b/localizations/it_IT.json
index 6151ed1c..d05035f9 100644
--- a/localizations/it_IT.json
+++ b/localizations/it_IT.json
@@ -12,7 +12,7 @@
   "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
   "txt2img": "txt2img",
   "img2img": "img2img",
-  "Extras": "Extras",
+  "Extras": "Extra",
   "PNG Info": "PNG Info",
   "Checkpoint Merger": "Checkpoint Merger",
   "Train": "Train",
@@ -106,7 +106,7 @@
   "Save": "Salva",
   "Send to img2img": "Invia a img2img",
   "Send to inpaint": "Invia a inpaint",
-  "Send to extras": "Invia a extras",
+  "Send to extras": "Invia a extra",
   "Make Zip when Save?": "Creare Zip al salvataggio?",
   "Textbox": "Casella di testo",
   "Interrogate\nCLIP": "Interroga\nCLIP",
@@ -315,91 +315,91 @@
   "Add extended info (seed, prompt) to filename when saving grid": "Aggiungi informazioni estese (seed, prompt) al nome del file al salvataggio della griglia",
   "Do not save grids consisting of one picture": "Non salvare griglie composte da una sola immagine",
   "Prevent empty spots in grid (when set to autodetect)": "Previeni spazi vuoti nella griglia",
-  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Grid row count; use -1 for autodetect and 0 for it to be same as batch size",
-  "Save text information about generation parameters as chunks to png files": "Save text information about generation parameters as chunks to png files",
-  "Create a text file next to every image with generation parameters.": "Create a text file next to every image with generation parameters.",
-  "Save a copy of image before doing face restoration.": "Save a copy of image before doing face restoration.",
-  "Quality for saved jpeg images": "Quality for saved jpeg images",
-  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG",
-  "Use original name for output filename during batch process in extras tab": "Use original name for output filename during batch process in extras tab",
-  "When using 'Save' button, only save a single selected image": "When using 'Save' button, only save a single selected image",
-  "Do not add watermark to images": "Do not add watermark to images",
-  "Paths for saving": "Paths for saving",
-  "Output directory for images; if empty, defaults to three directories below": "Output directory for images; if empty, defaults to three directories below",
-  "Output directory for txt2img images": "Output directory for txt2img images",
-  "Output directory for img2img images": "Output directory for img2img images",
-  "Output directory for images from extras tab": "Output directory for images from extras tab",
-  "Output directory for grids; if empty, defaults to two directories below": "Output directory for grids; if empty, defaults to two directories below",
-  "Output directory for txt2img grids": "Output directory for txt2img grids",
-  "Output directory for img2img grids": "Output directory for img2img grids",
-  "Directory for saving images using the Save button": "Directory for saving images using the Save button",
-  "Saving to a directory": "Saving to a directory",
-  "Save images to a subdirectory": "Save images to a subdirectory",
-  "Save grids to a subdirectory": "Save grids to a subdirectory",
-  "When using \"Save\" button, save images to a subdirectory": "When using \"Save\" button, save images to a subdirectory",
-  "Directory name pattern": "Directory name pattern",
-  "Max prompt words for [prompt_words] pattern": "Max prompt words for [prompt_words] pattern",
+  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Numero righe griglia; usa -1 per trovarlo automaticamente e 0 per essere lo stesso del batch size",
+  "Save text information about generation parameters as chunks to png files": "Salva le informazioni dei parametri di generazione come chunks nei file PNG",
+  "Create a text file next to every image with generation parameters.": "Crea un file di testo per ogni immagine con i parametri di generazione.",
+  "Save a copy of image before doing face restoration.": "Salva una copia dell'immagine prima di fare la riparazione volti.",
+  "Quality for saved jpeg images": "Qualità per le immagini salvate in JPEG",
+  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Se l'immagine PNG image è più grande di 4MB o qualsiasi dimensione maggiore di 4000, effettua il downscale e salva come JPG",
+  "Use original name for output filename during batch process in extras tab": "Usa il nome originale del file come nome del file di output durante il 'batch process' nella tab 'extras'",
+  "When using 'Save' button, only save a single selected image": "Usando il tasto 'Save', verrà salvata solo la singola immagine selezionata",
+  "Do not add watermark to images": "Non aggiungere watermark alle immagini",
+  "Paths for saving": "Percorsi per il salvataggio",
+  "Output directory for images; if empty, defaults to three directories below": "Cartella di Output globale per immagini; se vuota, verranno usate di default le cartelle indicate sotto",
+  "Output directory for txt2img images": "Cartella di Output per txt2img",
+  "Output directory for img2img images": "Cartella di Output per img2img",
+  "Output directory for images from extras tab": "Cartella di Output per immagini dalla tab 'extra'",
+  "Output directory for grids; if empty, defaults to two directories below": "Cartella di Output globale per le griglie; se vuota, verranno usate di default le cartelle indicate sotto",
+  "Output directory for txt2img grids": "Cartella di Output per txt2img grids",
+  "Output directory for img2img grids": "Cartella di Output per img2img grids",
+  "Directory for saving images using the Save button": "Cartella di Output per il salvataggion con il tasto 'Salva'",
+  "Saving to a directory": "Salvataggio in cartelle",
+  "Save images to a subdirectory": "Salva immagini in una sottocartella",
+  "Save grids to a subdirectory": "Salva griglie in una sottocartella",
+  "When using \"Save\" button, save images to a subdirectory": "Usando il tasto \"Salva\", le immagini verranno salvate in una sottocartella",
+  "Directory name pattern": "Pattern del nome della cartella",
+  "Max prompt words for [prompt_words] pattern": "Massimo numero di parole per il pattern [prompt_words]",
   "Upscaling": "Upscaling",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tile size for ESRGAN upscalers. 0 = no tiling.",
-  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.",
-  "Tile size for all SwinIR.": "Tile size for all SwinIR.",
-  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Tile overlap, in pixels for SwinIR. Low values = visible seam.",
-  "LDSR processing steps. Lower = faster": "LDSR processing steps. Lower = faster",
-  "Upscaler for img2img": "Upscaler for img2img",
+  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Dimensione Tile per upscalers ESRGAN. 0 = no tiling.",
+  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sovrapposizione Tile, in pixels per upscalers ESRGAN. Valore basso = taglio visible.",
+  "Tile size for all SwinIR.": "Dimensione Tile per SwinIR.",
+  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Sovrapposizione Tile, in pixels per upscalers SwinIR. Valore basso = taglio visible.",
+  "LDSR processing steps. Lower = faster": "LDSR processing steps. Basso = Veloce",
+  "Upscaler for img2img": "Upscaler per img2img",
   "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
-  "Face restoration": "Face restoration",
-  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect",
-  "Move face restoration model from VRAM into RAM after processing": "Move face restoration model from VRAM into RAM after processing",
-  "System": "System",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM usage polls per second during generation. Set to 0 to disable.",
-  "Always print all generation info to standard output": "Always print all generation info to standard output",
-  "Add a second progress bar to the console that shows progress for an entire job.": "Add a second progress bar to the console that shows progress for an entire job.",
+  "Face restoration": "Ripristino volti",
+  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Peso CodeFormer; 0 = effetto massimo; 1 = effetto minimo",
+  "Move face restoration model from VRAM into RAM after processing": "Sposta il modello di ripristino volti dalla VRAM alla RAM dopo averlo processato",
+  "System": "Sistema",
+  "VRAM usage polls per second during generation. Set to 0 to disable.": "Utilizzo VRAM al secondo durante la generazione. Imposta 0 per disabilitare.",
+  "Always print all generation info to standard output": "Mostra sempre tutte le informazioni della generazione nello standard output",
+  "Add a second progress bar to the console that shows progress for an entire job.": "Aggiungi una seconda progress bar alla console per mostrare il progresso complessivo della generazione.",
   "Training": "Training",
-  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.",
+  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Sposta VAE e CLIP in RAM durante il training di hypernetwork. Risparmia VRAM.",
   "Filename word regex": "Filename word regex",
   "Filename join string": "Filename join string",
-  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Number of repeats for a single input image per epoch; used only for displaying epoch number",
-  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Save an csv containing the loss to log directory every N steps, 0 to disable",
+  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Numero di ripetizioni per singola immagine in input per epoch; usato solo per mostrare il numero di epoch",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Salva un csv contenente il loss nella cartella log ogni N step, 0 per disabilitare",
   "Stable Diffusion": "Stable Diffusion",
-  "Checkpoints to cache in RAM": "Checkpoints to cache in RAM",
+  "Checkpoints to cache in RAM": "Checkpoints da memorizzare in RAM",
   "Hypernetwork strength": "Hypernetwork strength",
-  "Apply color correction to img2img results to match original colors.": "Apply color correction to img2img results to match original colors.",
-  "Save a copy of image before applying color correction to img2img results": "Save a copy of image before applying color correction to img2img results",
-  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).",
-  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.",
-  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention",
-  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Use old emphasis implementation. Can be useful to reproduce old seeds.",
-  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Make K-diffusion samplers produce same images in a batch as when making a single image",
-  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens",
-  "Filter NSFW content": "Filter NSFW content",
-  "Stop At last layers of CLIP model": "Stop At last layers of CLIP model",
-  "Interrogate Options": "Interrogate Options",
-  "Interrogate: keep models in VRAM": "Interrogate: keep models in VRAM",
-  "Interrogate: use artists from artists.csv": "Interrogate: use artists from artists.csv",
+  "Apply color correction to img2img results to match original colors.": "Applica color correction ai risultati img2img per uguagliare i colori originali.",
+  "Save a copy of image before applying color correction to img2img results": "Salva una copia dell'immagine prima di applicare la color correction ai risultati img2img",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Con img2img, effettua esattamente la quantità di step indicata (normalmente se ne effettuano di meno con meno riduzione del disturbo).",
+  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Abilita la quantizzazione nei campionatori K per risultati più nitidi e puliti. Questo può cambiare seed esistenti. Richiede il riavvio per essere applicato.",
+  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Enfasi: usa (testo) per far prestare maggiore attenzione al testo indicato e [testo] per renderlo meno importante",
+  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usa la vecchia implementazione per l'enfasi. Può essere utile per riprodurre vecchi seeds.",
+  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Fa sì che i K-Diffusion producano le stesse immagini in un batch come quando si effettuano una singola immagine",
+  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta la coerenza aggiungendo dall'ultima virgola ulteriori N token quando si usano più di 75 token.",
+  "Filter NSFW content": "Filtra contenuti NSFW",
+  "Stop At last layers of CLIP model": "Fermati all'ultimo livello del modello CLIP",
+  "Interrogate Options": "Opzioni Interrogate",
+  "Interrogate: keep models in VRAM": "Interrogate: mantieni modelli nella VRAM",
+  "Interrogate: use artists from artists.csv": "Interrogate: usa artisti dal file artists.csv",
   "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
-  "Interrogate: num_beams for BLIP": "Interrogate: num_beams for BLIP",
-  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimum description length (excluding artists, etc..)",
-  "Interrogate: maximum description length": "Interrogate: maximum description length",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximum number of lines in text file (0 = No limit)",
-  "Interrogate: deepbooru score threshold": "Interrogate: deepbooru score threshold",
-  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru sort alphabetically",
-  "use spaces for tags in deepbooru": "use spaces for tags in deepbooru",
-  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)",
-  "User interface": "User interface",
-  "Show progressbar": "Show progressbar",
-  "Show image creation progress every N sampling steps. Set 0 to disable.": "Show image creation progress every N sampling steps. Set 0 to disable.",
-  "Show previews of all images generated in a batch as a grid": "Show previews of all images generated in a batch as a grid",
-  "Show grid in results for web": "Show grid in results for web",
-  "Do not show any images in results for web": "Do not show any images in results for web",
-  "Add model hash to generation information": "Add model hash to generation information",
-  "Add model name to generation information": "Add model name to generation information",
-  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.",
-  "Font for image grids that have text": "Font for image grids that have text",
-  "Enable full page image viewer": "Enable full page image viewer",
-  "Show images zoomed in by default in full page image viewer": "Show images zoomed in by default in full page image viewer",
-  "Show generation progress in window title.": "Show generation progress in window title.",
-  "Quicksettings list": "Quicksettings list",
-  "Localization (requires restart)": "Localization (requires restart)",
+  "Interrogate: num_beams for BLIP": "Interrogate: num_beams per BLIP",
+  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minima lunghezza della descrizione (escludendo artisti, etc..)",
+  "Interrogate: maximum description length": "Interrogate: massima lunghezza descrizione",
+  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: massimo numero di linee di testo per file (0 = Nessun limite)",
+  "Interrogate: deepbooru score threshold": "Interrogate: soglia punteggio deepbooru",
+  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru ordina alfabeticamente",
+  "use spaces for tags in deepbooru": "usa spazi per tag su deepbooru",
+  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "effettuta l'escape (\\) delle parentesi in deepbooru (così vengono usati come parentesi e non come enfasi)",
+  "User interface": "Interfaccia Utente",
+  "Show progressbar": "Mostra barre di caricamento",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "Mostra il progresso della generazione immagini ogni N step. Imposta 0 per disabilitare.",
+  "Show previews of all images generated in a batch as a grid": "Mostra l'anteprima di tutte le immagini di un batch come griglia",
+  "Show grid in results for web": "Mostra la griglia nei risultati per web",
+  "Do not show any images in results for web": "Non mostrare alcun risultato per web",
+  "Add model hash to generation information": "Aggiungi l'hash del modello alle informazioni di generazione",
+  "Add model name to generation information": "Aggiungi il nome del modello alle informazioni di generazione",
+  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Alla lettura dei parametri di generazione da testo ad interfaccia (da PNG o testo copiato), non cambiare il modello/checkpoint.",
+  "Font for image grids that have text": "Font per griglie di immagini con testo",
+  "Enable full page image viewer": "Abilita la visualizzazione a pagina intera",
+  "Show images zoomed in by default in full page image viewer": "Mostra le immagini zoommate di default nella visualizzazione a pagina intera",
+  "Show generation progress in window title.": "Mostra il progresso di generazione nel titolo della finestra.",
+  "Quicksettings list": "Lista imporazioni rapide",
+  "Localization (requires restart)": "Localization (richiede riavvio)",
   "ar_AR": "ar_AR",
   "es_ES": "es_ES",
   "fr-FR": "fr-FR",
@@ -409,10 +409,10 @@
   "ru_RU": "ru_RU",
   "tr_TR": "tr_TR",
   "zh_CN": "zh_CN",
-  "Sampler parameters": "Sampler parameters",
-  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (requires restart)",
-  "eta (noise multiplier) for DDIM": "eta (noise multiplier) for DDIM",
-  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) for ancestral samplers",
+  "Sampler parameters": "Parametri del Sampler",
+  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (richiede riavvio)",
+  "eta (noise multiplier) for DDIM": "eta (noise multiplier) per DDIM",
+  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) per ancestral samplers",
   "img2img DDIM discretize": "img2img DDIM discretize",
   "uniform": "uniform",
   "quad": "quad",
@@ -420,73 +420,73 @@
   "sigma tmin": "sigma tmin",
   "sigma noise": "sigma noise",
   "Eta noise seed delta": "Eta noise seed delta",
-  "Images Browser": "Images Browser",
-  "Preload images at startup": "Preload images at startup",
-  "Number of columns on the page": "Number of columns on the page",
-  "Number of rows on the page": "Number of rows on the page",
-  "Minimum number of pages per load": "Minimum number of pages per load",
-  "Request browser notifications": "Request browser notifications",
-  "Download localization template": "Download localization template",
-  "Reload custom script bodies (No ui updates, No restart)": "Reload custom script bodies (No ui updates, No restart)",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (press Ctrl+Enter or Alt+Enter to generate)",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)",
-  "Add a random artist to the prompt.": "Add a random artist to the prompt.",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
-  "Save style": "Save style",
-  "Apply selected styles to current prompt": "Apply selected styles to current prompt",
-  "Stop processing current image and continue processing.": "Stop processing current image and continue processing.",
-  "Stop processing images and return any results accumulated so far.": "Stop processing images and return any results accumulated so far.",
-  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style to apply; styles have components for both positive and negative prompts and apply to both",
-  "Do not do anything special": "Do not do anything special",
-  "Which algorithm to use to produce the image": "Which algorithm to use to produce the image",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - best at inpainting",
-  "Produce an image that can be tiled.": "Produce an image that can be tiled.",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition",
+  "Images Browser": "Galleria Immagini",
+  "Preload images at startup": "Precarica immagini all'avvio",
+  "Number of columns on the page": "Numero di colonne per pagina",
+  "Number of rows on the page": "Numero di righe per pagina",
+  "Minimum number of pages per load": "Minimo numero di pagine da caricare",
+  "Request browser notifications": "Richiedi notifiche via browser",
+  "Download localization template": "Scarica template di Localization",
+  "Reload custom script bodies (No ui updates, No restart)": "Ricarica gli script custom (Nessun aggiornamento UI, Nessun riavvio)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Riavvio Gradio and Aggiorna i componenti (solo Script Custom, ui.py, js e css)",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (premi Ctrl+Enter o Alt+Enter per generare)",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (premi Ctrl+Enter o Alt+Enter per generare)",
+  "Add a random artist to the prompt.": "Aggiungi un'artista casuale al prompt.",
+  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Leggi i parametri di generazione dal prompt o dall'ultima generazione se il prompt è vuoto nell'interfaccia utente.",
+  "Save style": "Salva stile",
+  "Apply selected styles to current prompt": "Applica lo stile selezionato al prompt corrente",
+  "Stop processing current image and continue processing.": "Smette di processare l'immagine corrente e continua a processare.",
+  "Stop processing images and return any results accumulated so far.": "Smette di processare l'immagine corrente e restituisce tutti i risultati accumulati fin'ora.",
+  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Stile da applicare; gli stili verranno applicati sia ai prompt positivi che ai prompt negativi",
+  "Do not do anything special": "Non fa nulla di speciale",
+  "Which algorithm to use to produce the image": "Algoritmo usato per produrre l'immagine",
+  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - molto creativo, può generare immagini completamente diverse in base alla quantità di step, impostare valori maggiori di 30-40 non aiuta",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - il migliore su inpainting",
+  "Produce an image that can be tiled.": "Produce un'immagine che può essere usata come texture.",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Usa un processo a due step per creare parzialmente un'immagine a bassa risoluzione, eseguire l'upscale e dopo migliorare i dettagli senza cambiarne la composizione.",
   "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
-  "How many batches of images to create": "How many batches of images to create",
-  "How many image to create in a single batch": "How many image to create in a single batch",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",
-  "Set seed to -1, which will cause a new random number to be used every time": "Set seed to -1, which will cause a new random number to be used every time",
-  "Reuse seed from last generation, mostly useful if it was randomed": "Reuse seed from last generation, mostly useful if it was randomed",
-  "Seed of a different picture to be mixed into the generation.": "Seed of a different picture to be mixed into the generation.",
+  "How many batches of images to create": "Quanti batch di immagini creare in una sola generazione",
+  "How many image to create in a single batch": "Quante immagini creare per ogni singolo batch",
+  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - quanto l'immagine sarà conforme al prompt - valori bassi generano risultati più creativi",
+  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Un valore che determina l'output del generatore casuale di numeri - se crei un'immagine con gli stessi parametri e seed, otterrai lo stesso risultato",
+  "Set seed to -1, which will cause a new random number to be used every time": "Imposta il seed a -1, dunque verrà usato un numero diverso ogni volta",
+  "Reuse seed from last generation, mostly useful if it was randomed": "Riutilizza il seed dall'ultima generazione, utile nel caso fosse casuale",
+  "Seed of a different picture to be mixed into the generation.": "Seed di differenti generazioni, mescolati nella generazione corrente.",
   "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution",
-  "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others",
-  "Separate values for X axis using commas.": "Separate values for X axis using commas.",
-  "Separate values for Y axis using commas.": "Separate values for Y axis using commas.",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "Write image to a directory (default - log/images) and generation parameters into csv file.",
-  "Open images output directory": "Open images output directory",
-  "How much to blur the mask before processing, in pixels.": "How much to blur the mask before processing, in pixels.",
-  "What to put inside the masked area before processing it with Stable Diffusion.": "What to put inside the masked area before processing it with Stable Diffusion.",
-  "fill it with colors of the image": "fill it with colors of the image",
-  "keep whatever was there originally": "keep whatever was there originally",
-  "fill it with latent space noise": "fill it with latent space noise",
-  "fill it with latent space zeroes": "fill it with latent space zeroes",
-  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image",
-  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.",
-  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.",
-  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.",
-  "How many times to repeat processing an image and using it as input for the next iteration": "How many times to repeat processing an image and using it as input for the next iteration",
-  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.",
-  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.",
-  "A directory on the same machine where the server is running.": "A directory on the same machine where the server is running.",
-  "Leave blank to save images to the default path.": "Leave blank to save images to the default path.",
-  "Result = A * (1 - M) + B * M": "Result = A * (1 - M) + B * M",
-  "Result = A + (B - C) * M": "Result = A + (B - C) * M",
-  "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
-  "Path to directory with input images": "Path to directory with input images",
-  "Path to directory where to write outputs": "Path to directory where to write outputs",
-  "Input images directory": "Input images directory",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
-  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.",
+  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Prova a generare immagini simili a quelle che sarebbero state prodotte con lo stesso seed ad una specifica risoluzione",
+  "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "Separa una lista di parole usando le virgole, la prima parola verrà usata come parola chiave: lo script cercherà la parola nel prompt e la rimpiazzerà con le altre",
+  "Separate values for X axis using commas.": "Separa i valori per l'asse X usando le virgole.",
+  "Separate values for Y axis using commas.": "Separa i valori per l'asse Y usando le virgole.",
+  "Write image to a directory (default - log/images) and generation parameters into csv file.": "Salva l'immagine in una cartella (default - log/images) e i parametri di generazione in un file CSV.",
+  "Open images output directory": "Apri la cartella di output delle immagini",
+  "How much to blur the mask before processing, in pixels.": "Quanto sfocare le maschere prima di processarle, in pixel.",
+  "What to put inside the masked area before processing it with Stable Diffusion.": "Cosa inserire nell'area di mascheramento prima di processarla con Stable Diffusion.",
+  "fill it with colors of the image": "riempi con colori dell'immagine",
+  "keep whatever was there originally": "mantieni qualsiasi cosa ci fosse originariamente",
+  "fill it with latent space noise": "riempi con latent space noise",
+  "fill it with latent space zeroes": "riempi con latent space zeroes",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Effettua l'Upscale della regione mascherata alla risoluzione obiettivo, effettua l'inpainting, esegue il downscale e lo incolla nell'immagine originale",
+  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Ridimensiona l'immagine alla risoluzione obiettivo. Se l'altezza e la larghezza non coincidono, il risultato avrà un'aspect ratio scorretto.",
+  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Ridimensiona l'immagine affinché l'intera risoluzione obiettivo sia riempita con l'immagine. Taglia le parti che restano fuori.",
+  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "RRidimensiona l'immagine affinché l'intera risoluzione obiettivo sia riempita con l'immagine. Riempie gli spazi vuoti con i colori dell'immagine.",
+  "How many times to repeat processing an image and using it as input for the next iteration": "Quante volte processare un immagine e usarla come input per la prossima iterazione",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In modalità Loopback, per ogni loop la denoising strength sarà moltiplicata per il suo valore. <1 significa ridurre la varietà, dunque la sequenza convergerà in un'immagine più sistemata. >1 significa aumentare la varietà, quindi la sequenza sarà sempre più caotica.",
+  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Per l'upscale in SD, quanta sovrapposizione vi sarà in pixel per ogni tile. I tile si sovrapporranno in modo da essere fusi insieme in una singola immagine. Non vi sarà alcuna linea visibile.",
+  "A directory on the same machine where the server is running.": "Una cartella nella stessa macchina in cui il server è in funzione.",
+  "Leave blank to save images to the default path.": "Lascia vuoto per salvare le immagini nel percorso di default.",
+  "Result = A * (1 - M) + B * M": "Risultato = A * (1 - M) + B * M",
+  "Result = A + (B - C) * M": "Risultato = A + (B - C) * M",
+  "1st and last digit must be 1. ex:'1, 2, 1'": "Il primo e l'ulitmo carattere devono essere 1. es:'1, 2, 1'",
+  "Path to directory with input images": "Percorso della cartella con le immagini di input",
+  "Path to directory where to write outputs": "Percorso della cartella dove posizione le immagini di output",
+  "Input images directory": "Cartella immagini di input",
+  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa i seguenti tag per definire come i nomi dei file saranno scelti: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; lascia vuoto per default.",
+  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se questa opzione non è abilita, i watermark non verranno aggiunti. Attenzione: se non aggiungi i watermark, potresti star agendo in modo non etico.",
   "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
-  "Restore low quality faces using GFPGAN neural network": "Restore low quality faces using GFPGAN neural network",
-  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.",
-  "This string will be used to join split words into a single line if the option above is enabled.": "This string will be used to join split words into a single line if the option above is enabled.",
+  "Restore low quality faces using GFPGAN neural network": "Ripristina i volti in bassa qualità usando la rete neurale GFPGAN",
+  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Questa espressione regolare verrà usata per estrarre parole dai nomi dei file, e verranno uniti usanto le opzioni indicate sotto per il training. Lascia vuoto per mantenere il nome del file così com'è.",
+  "This string will be used to join split words into a single line if the option above is enabled.": "Questa stringa sarà usata per unire parole tagliate in una sola riga se l'opzione sopra è abilitata.",
   "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
   "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
-  "Enable Autocomplete": "Enable Autocomplete"
+  "Enable Autocomplete": "Abilita Autocompletamento"
 }

From 54cdd4e1f4168697f32882c0b33842e767b66884 Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Wed, 26 Oct 2022 22:49:45 +0300
Subject: [PATCH 219/321] Add LTR checkpoint lists and updated Arabic
 localization

---
 localizations/ar_AR.json | 26 ++++++++++++++------------
 style.css                | 16 +++++++++++++---
 2 files changed, 27 insertions(+), 15 deletions(-)

diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index 21c24e62..d330b919 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -71,9 +71,10 @@
   "Script": "أداة",
   "Prompt matrix": "مصفوفة طلبات",
   "Put variable parts at start of prompt": "الجزء المتغير في بداية الطلب",
-  "Prompts from file or textbox": "قائمة طلبات",
-  "Show Textbox": "أظهر مربع النص",
-  "File with inputs": "ملف نصي للطلبات",
+  "Prompts from file or textbox": " قائمة طلبات",
+  "Iterate seed every line": "غير البذرة مع كل طلب",
+  "List of prompt inputs": "قائمة الطلبات",
+  "Upload prompt inputs": "اجلب الطلبات من ملف",
   "Drop File Here": "اسقط ملف هنا",
   "-": "-",
   "or": "أو",
@@ -219,7 +220,7 @@
   "Run": "تشغيل",
   "Train": "تدريب",
   "See": "اقرأ",
-  "wiki": "الـwiki ",
+  "wiki": " الـwiki ",
   "for detailed explanation.": "لمعرفة المزيد",
   "Create embedding": "إنشاء تضمين",
   "Name": "الاسم",
@@ -231,11 +232,7 @@
   "Enter hypernetwork layer structure": "ترتيب مضاعفات عرض الطبقات",
   "1st and last digit must be 1. ex:'1, 2, 1'": "المضاعفين الأول والأخير يجب أن يكونا 1، مثال: 1, 2, 1",
   "Select activation function of hypernetwork": "دالة التنشيط",
-  "linear": "خطية (بدون)",
-  "relu": "ريلو (ReLU)",
-  "leakyrelu": "ريلو المتسربة (LeakyReLU)",
-  "elu": "إيلو (ELU)",
-  "swish": "سويش (Swish)",
+  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "تهيئة الأوزان (استخدم Kaiming مع relu وشبيهاتها وXavier مع sigmoid وشبيهاتها)",
   "Add layer normalization": "أضف تسوية الطبقات (LayerNorm)",
   "Use dropout": "استخدم الإسقاط (Dropout)",
   "Overwrite Old Hypernetwork": "استبدل الشبكة الفائقة القديمة",
@@ -251,6 +248,11 @@
   "Split oversized images": "قسّم الصور الكبيرة",
   "Split image threshold": "حد تقسيم الصور الكبيرة",
   "Split image overlap ratio": "نسبة تداخل اقسام الصور الكبيرة",
+  "Auto focal point crop": "اقتصاص تلقائي",
+  "Focal point face weight": "تمركز الوجوه",
+  "Focal point entropy weight": "تمركز التنوع",
+  "Focal point edges weight": "تمركز الحواف",
+  "Create debug image": "احفظ نتائج التحليل أيضا",
   "Use BLIP for caption": "استخدم BLIP لتوصيف الصور",
   "Use deepbooru for caption": "استخدم deepbooru لتوصيف الصور",
   "Preprocess": "معالجة مسبقة",
@@ -328,7 +330,7 @@
   "Save grids to a subdirectory": "احفظ جداول الصور في مجلد فرعي",
   "When using \"Save\" button, save images to a subdirectory": "احفظ الصور في مجلد فرعي عند الضغط على زر الحفظ",
   "Directory name pattern": "نمط اسم المجلد",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم الأوسمة التالية لحديد كيفية تسمية المجلدات الفرعية للصور والصور المركبة: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] أو اتركه فارغا إذا أردت",
+  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "استخدم الأوسمة التالية لتحديد كيفية تسمية المجلدات الفرعية للصور والصور المركبة: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp] أو اتركه فارغا إذا أردت",
   "Max prompt words for [prompt_words] pattern": "أقصى عدد كلمات الطلب عند استخدام وسم [prompt_words]",
   "Upscaling": "تكبير الصور",
   "Tile size for ESRGAN upscalers. 0 = no tiling.": "حجم نافذة المكبر ESRGAN (يمكن أن يكون 0)",
@@ -341,6 +343,7 @@
   "Upscale latent space image when doing hires. fix": "عند اختيار \"أقل دقة\" قم بالتكبير في الفضاء الكامن",
   "Face restoration": "تحسين الوجوه",
   "Face restoration model": "نموذج تحسين الوجوه",
+  "Restore low quality faces using GFPGAN neural network": "استخدم نموذج GFPGAN لتحسين الوجوه",
   "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "وزن CodeFormer (يزيد التفاصيل على حساب الجودة)",
   "Move face restoration model from VRAM into RAM after processing": "احذف محسن الوجوه من ذاكرة كرت الشاشة (VRAM) بعد استخدامه",
   "System": "النظام",
@@ -396,8 +399,7 @@
   "Show generation progress in window title.": "أظهر التقدم في عنوان النافذة",
   "Quicksettings list": "قائمة الإعدادات السريعة",
   "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة مقسمة بفواصل لأسماء الإعدادات التي يجب أن تظهر في الأعلى لتسهيل الوصول إليها، انظر إلى modules/shared.py لمعرفة الأسماء، يتطلب إعادة تشغيل",
-  "Localization (requires restart)": "اللغة/language (يتطلب إعادة تشغيل/requires restart)",
-  "ar_AR": "العربية",
+  "Localization (requires restart)": "اللغة (تتطلب إعادة تشغيل)",
   "Sampler parameters": "عوامل أساليب الخطو",
   "Hide samplers in user interface (requires restart)": "اخف أساليب الخطو التالية (يتطلب إعادة تشغيل)",
   "eta (noise multiplier) for DDIM": "العامل Eta η لأسلوب الخطو DDIM",
diff --git a/style.css b/style.css
index 13a9fb07..f4d37e72 100644
--- a/style.css
+++ b/style.css
@@ -522,18 +522,28 @@ If you change anything above, you need to make sure it is RTL compliant by just
 your changes through converters like https://cssjanus.github.io/ or https://rtlcss.com/.
 Then, you will need to add the RTL counterpart only if needed in the rtl section below.*/
 @media rtl {
-    /* this part was manualy added */
+    /* this part was added manually */
     :host {
         direction: rtl;
     }
-    .output-html:has(.performance), .gr-text-input {
+    .file-preview,
+    .gr-text-input,
+    .output-html:has(.performance),
+    #txt2img_style_index > label > select,
+    #txt2img_style2_index > label > select,
+    #img2img_style_index > label > select,
+    #img2img_style2_index > label > select,
+    #setting_sd_model_checkpoint > label > select,
+    #modelmerger_primary_model_name > label > select,
+    #modelmerger_secondary_model_name > label > select,
+    #modelmerger_tertiary_model_name > label > select {
         direction: ltr;
     }
     .gr-radio, .gr-checkbox{
         margin-left: 0.25em;
     }
 
-    /* this part was automatically generated with few manual modifications */
+    /* automatically generated with few manual modifications */
     .performance .time {
         margin-right: unset;
         margin-left: 0;

From 3de036514138d7cdcba9729c975f1683a8e06b16 Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Wed, 26 Oct 2022 23:56:11 +0300
Subject: [PATCH 220/321] Add id access to scripts list in the css

---
 modules/scripts.py |  2 +-
 style.css          | 17 ++++++-----------
 2 files changed, 7 insertions(+), 12 deletions(-)

diff --git a/modules/scripts.py b/modules/scripts.py
index 9323af3e..a7f36012 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -236,7 +236,7 @@ class ScriptRunner:
             with gr.Group():
                 create_script_ui(script, inputs, inputs_alwayson)
 
-        dropdown = gr.Dropdown(label="Script", choices=["None"] + self.titles, value="None", type="index")
+        dropdown = gr.Dropdown(label="Script", elem_id="script_list", choices=["None"] + self.titles, value="None", type="index")
         dropdown.save_to_config = True
         inputs[0] = dropdown
 
diff --git a/style.css b/style.css
index f4d37e72..c49954e0 100644
--- a/style.css
+++ b/style.css
@@ -526,19 +526,14 @@ Then, you will need to add the RTL counterpart only if needed in the rtl section
     :host {
         direction: rtl;
     }
-    .file-preview,
-    .gr-text-input,
-    .output-html:has(.performance),
-    #txt2img_style_index > label > select,
-    #txt2img_style2_index > label > select,
-    #img2img_style_index > label > select,
-    #img2img_style2_index > label > select,
-    #setting_sd_model_checkpoint > label > select,
-    #modelmerger_primary_model_name > label > select,
-    #modelmerger_secondary_model_name > label > select,
-    #modelmerger_tertiary_model_name > label > select {
+    select, .file-preview, .gr-text-input, .output-html:has(.performance) {
         direction: ltr;
     }
+    #script_list > label > select,
+    #x_type > label > select,
+    #y_type > label > select {
+        direction: rtl;
+    }
     .gr-radio, .gr-checkbox{
         margin-left: 0.25em;
     }

From bf7cbcdeef2c6b6a4b4b0e6e349bf0fe7087afd4 Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Thu, 27 Oct 2022 01:30:09 +0300
Subject: [PATCH 221/321] Add Arabic localization feedback revisions

---
 localizations/ar_AR.json | 62 ++++++++++++++++++++--------------------
 1 file changed, 31 insertions(+), 31 deletions(-)

diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index d330b919..7864ac03 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -4,7 +4,7 @@
   "view": "اعرض ",
   "api": "واجهة البرمجة",
   "built with gradio": "مبني باستخدام gradio",
-  "Stable Diffusion checkpoint": "ملف أوزان Stable Diffusion",
+  "Stable Diffusion checkpoint": "أوزان نموذج الإنتشار المسقر",
   "txt2img": "نص إلى صورة",
   "Prompt": "الطلب",
   "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "الطلب (لبدء الإنتاج Ctrl+Enter أو Alt+Enter اضغط)",
@@ -16,7 +16,7 @@
   "Apply selected styles to current prompt": "ألحق الإضافات المحددة إلى الطلب وعكسه",
   "Generate": "أنتج",
   "Skip": "تخطى",
-  "Stop processing current image and continue processing.": "تجاهل إنتاج هذة الحزمة وانتقل إلى الحزمة التالية",
+  "Stop processing current image and continue processing.": "لا تكمل خطوات هذة الحزمة وانتقل إلى الحزمة التالية",
   "Interrupt": "توقف",
   "Stop processing images and return any results accumulated so far.": "توقف عن الإنتاج واعرض ما تم إلى الآن",
   "Style 1": "الإضافة 1",
@@ -27,18 +27,18 @@
   "Sampling method": "أسلوب الخطو",
   "Which algorithm to use to produce the image": "Sampler: اسم نظام تحديد طريقة تغيير المسافات بين الخطوات",
   "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral: طريقة مبدعة يمكن أن تنتج صور مختلفة على حسب عدد الخطوات، لا تتغير بعد 30-40 خطوة",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models: الأفضل في التحبير",
+  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models: الأفضل في الإنتاج الجزئي",
   "Width": "العرض",
   "Height": "الإرتفاع",
   "Restore faces": "تحسين الوجوه",
   "Tiling": "ترصيف",
   "Produce an image that can be tiled.": "أنتج صور يمكن ترصيفها بجانب بعضها كالبلاط",
-  "Highres. fix": "أقل دقة",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "أنتج صورة بدقة منخفضة ثم قم برفع الدقة فيما بعد لتسريع الإنتاج عندما تكون الدقة المطلوبة كبيرة",
+  "Highres. fix": "إصلاح الدقة العالية",
+  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "أنتج صورة بدقة منخفضة ثم قم برفع الدقة فيما بعد لمنع التشوهات التي تحصل عندما تكون الدقة المطلوبة كبيرة",
   "Firstpass width": "العرض الأولي",
   "Firstpass height": "الإرتفاع الأولي",
-  "Denoising strength": "قسط المشوار",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Denoising strength: حدد مقدار جزء المشوار المراد قطعه (1: كامل المشوار ينتج صورة مختلفة تماما، 0: ثابت لا يغير الصورة)",
+  "Denoising strength": "المدى",
+  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Denoising strength: حدد مدى الإبتعاد عن الصورة (عدد الخطوات الفعلي = عدد الخطوات * المدى)",
   "Batch count": "عدد الحزم",
   "How many batches of images to create": "يتم إنتاج الصور على دفعات، كل دفعة فيها حزمة من الصور",
   "Batch size": "حجم الحزمة",
@@ -68,7 +68,7 @@
   "This text is used to rotate the feature space of the imgs embs": "لإعادة توجيه التضمين التجميلي",
   "Slerp angle": "أثر الطلب",
   "Is negative text": "الطلب عكسي",
-  "Script": "أداة",
+  "Script": "أدوات خاصة",
   "Prompt matrix": "مصفوفة طلبات",
   "Put variable parts at start of prompt": "الجزء المتغير في بداية الطلب",
   "Prompts from file or textbox": " قائمة طلبات",
@@ -98,19 +98,19 @@
   "Sigma noise": "التشويش (Snoise)",
   "Eta": "العامل Eta η",
   "Clip skip": "تخطي آخر طبقات CLIP",
-  "Denoising": "قسط المشوار",
+  "Denoising": "المدى",
   "X values": "قيم العامل الأول",
   "Separate values for X axis using commas.": "افصل القيم بفواصل (,) من اليسار إلى اليمين",
   "Y type": "العامل الثاني",
   "Y values": "قيم العامل الثاني",
   "Separate values for Y axis using commas.": "افصل القيم بفواصل (,) من الأعلى إلى الأسفل",
-  "Draw legend": "أضف الهامش",
+  "Draw legend": "أضف مفتاح التوضيح",
   "Include Separate Images": "أضف الصور منفصلة",
   "Keep -1 for seeds": "استخدم بذور عشوائية",
   "Save": "احفظ",
   "Write image to a directory (default - log/images) and generation parameters into csv file.": "احفظ الصور مع ملف العوامل بصيغة CSV",
   "Send to img2img": "أرسل لصورة إلى صورة",
-  "Send to inpaint": "أرسل للتحبير",
+  "Send to inpaint": "أرسل للإنتاج الجزئي",
   "Send to extras": "أرسل للمعالجة",
   "Open images output directory": "افتح مجلد الصور المخرجة",
   "Make Zip when Save?": "ضع النتائج في ملف مضغوط عند الحفظ",
@@ -129,19 +129,19 @@
   "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "استبدل الطلب وعكسه في الأعلى بالطلب الأصلي وعكسه التاليين",
   "Original prompt": "الطلب الأصلي",
   "Original negative prompt": "عكس الطلب الأصلي",
-  "Override `Sampling Steps` to the same value as `Decode steps`?": "استدبل عدد الخطوات بعدد الخطوات الأصلية",
+  "Override `Sampling Steps` to the same value as `Decode steps`?": "استبدل عدد الخطوات بعدد الخطوات الأصلية",
   "Decode steps": "عدد الخطوات الأصلية",
-  "Override `Denoising strength` to 1?": "اجعل قسط المشوار 1",
+  "Override `Denoising strength` to 1?": "اجعل المدى 1",
   "Decode CFG scale": "التركيز",
   "Randomness": "العشوائية",
   "Sigma adjustment for finding noise for image": "لا تسمح بتثبيت قيمة التباين",
   "Loopback": "اجترار وتكرار",
   "Loops": "عدد المرات",
   "How many times to repeat processing an image and using it as input for the next iteration": "كم مرة يتم أخذ مخرجات الإنتاج كمدخلات وإعادة الإنتاج مرة أخرى",
-  "Denoising strength change factor": "معدل تغيير قسط المشوار",
-  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "يتم ضرب قسط المشوار بهذا الرقم في كل مرة، إذا استخدمت رقم أصغر من 1 يمكن الرسو على نتيجة، وإذا استخدمت رقم أكبر من 1 تصبح النتيجة عشوائية",
+  "Denoising strength change factor": "معدل تغيير المدى",
+  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "يتم ضرب المدى بهذا الرقم في كل مرة، إذا استخدمت رقم أصغر من 1 يمكن الرسو على نتيجة، وإذا استخدمت رقم أكبر من 1 تصبح النتيجة عشوائية",
   "Outpainting mk2": "توسيع الصورة (mk2)",
-  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "يفضل استخدام: 80-100 خطوة، أسلوب Euler a، قسط المشوار 0.8",
+  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "يفضل استخدام: 80-100 خطوة، أسلوب Euler a، المدى 0.8",
   "Pixels to expand": "عدد البيكسلات",
   "Mask blur": "تنعيم القناع",
   "How much to blur the mask before processing, in pixels.": "مقدرا تنعيم القناع قبل استخدامه (يقاس بالبيكسل)",
@@ -163,18 +163,18 @@
   "fill it with latent space noise": "املأه باستخدام تشويش من الفضاء الكامن",
   "latent nothing": "تصفير كامن",
   "fill it with latent space zeroes": "استبدل مكان القناع في الفضاء الكامن بأصفار",
-  "SD upscale": "مضاعفة الدقة",
+  "SD upscale": "مضاعفة الدقة بنموذج الإنتشار المستقر",
   "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "سيتم تكبير حجم الصورة إلى الضعف، استخدم الطول والإرتفاع في الأعلى لتحديد حجم نافذة المكبر",
   "Tile overlap": "تداخل النافذة",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "المكبر ينظر إلى أجزاء الصورة من خلال نافذة لتكبير المحتوى ثم ينتقل إلى الجزء المجاور، يفضل أن يكون هناك تداخل بين كل رقعة لكي لا يكون هناك اختلاف واضح بينهم",
   "Upscaler": "طريقة التكبير",
-  "Inpaint": "تحبير",
+  "Inpaint": "إنتاج جزئي",
   "Draw mask": "ارسم القناع",
   "Upload mask": "ارفع القناع",
-  "Inpaint masked": "تحبير ما بداخل القناع",
-  "Inpaint not masked": "تحبير ما حول القناع",
-  "Inpaint at full resolution": "تحبير بالدقة الكاملة",
-  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "كبر ما يراد تحبيره ثم صغر النتيجة وألصقها في مكانها",
+  "Inpaint masked": "أنتج ما بداخل القناع",
+  "Inpaint not masked": "أنتج ما حول القناع",
+  "Inpaint at full resolution": "إنتاج بالدقة الكاملة",
+  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "كبر ما يراد إعادة إنتاجه ثم صغر النتيجة وألصقها في مكانها",
   "Inpaint at full resolution padding, pixels": "عدد بيكسلات التبطين",
   "Batch img2img": "صور إلى صور",
   "Process images in a directory on the same machine where the server is running.": "حدد مسار مجلد صور موجود في جهاز الخادم",
@@ -232,12 +232,12 @@
   "Enter hypernetwork layer structure": "ترتيب مضاعفات عرض الطبقات",
   "1st and last digit must be 1. ex:'1, 2, 1'": "المضاعفين الأول والأخير يجب أن يكونا 1، مثال: 1, 2, 1",
   "Select activation function of hypernetwork": "دالة التنشيط",
-  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "تهيئة الأوزان (استخدم Kaiming مع relu وشبيهاتها وXavier مع sigmoid وشبيهاتها)",
+  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "تهيئة الأوزان (استخدم Kaiming مع relu وأمثالها وXavier مع sigmoid وأمثالها)",
   "Add layer normalization": "أضف تسوية الطبقات (LayerNorm)",
   "Use dropout": "استخدم الإسقاط (Dropout)",
   "Overwrite Old Hypernetwork": "استبدل الشبكة الفائقة القديمة",
   "Preprocess images": "معالجة مسبقة للصور",
-  "Source directory": "مجلد المخرجات",
+  "Source directory": "مجلد المدخلات",
   "Destination directory": "مجلد المخرجات",
   "Existing Caption txt Action": "اذا كانت الصورة لديها توصيف (طلب)",
   "ignore": "تجاهل",
@@ -252,7 +252,7 @@
   "Focal point face weight": "تمركز الوجوه",
   "Focal point entropy weight": "تمركز التنوع",
   "Focal point edges weight": "تمركز الحواف",
-  "Create debug image": "احفظ نتائج التحليل أيضا",
+  "Create debug image": "أنتج صورة كمثال",
   "Use BLIP for caption": "استخدم BLIP لتوصيف الصور",
   "Use deepbooru for caption": "استخدم deepbooru لتوصيف الصور",
   "Preprocess": "معالجة مسبقة",
@@ -266,7 +266,7 @@
   "Log directory": "مجلد السجل",
   "Path to directory where to write outputs": "مسار مجلد الصور المخرجة",
   "Prompt template file": "ملف صيغ الطلبات",
-  "Max steps": "أقصى عدد خطوات التدريب",
+  "Max steps": "أقصى عدد لخطوات التدريب",
   "Save an image to log directory every N steps, 0 to disable": "احفظ صورة في السجل بعد كل كم خطوة تدريب (لا تحفظ إذا كان 0)",
   "Save a copy of embedding to log directory every N steps, 0 to disable": "احفظ التضمين في السجل بعد كل كم خطوة تدريب (لا تحفظ إذا كان 0)",
   "Save images with embedding in PNG chunks": "احفظ التضمين بداخل ملف الصورة كعامل يمكن استخراجه من عوامل الصورة (صيغة PNG)",
@@ -340,7 +340,7 @@
   "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "تداخل نافذة المكبر SwinIR (تتضح الفواصل إذا كان قليل)",
   "LDSR processing steps. Lower = faster": "عدد خطوات مكبر LDSR (أسرع كلما قلت)",
   "Upscaler for img2img": "طريقة التكبير تحت تبويب صورة إلى صورة",
-  "Upscale latent space image when doing hires. fix": "عند اختيار \"أقل دقة\" قم بالتكبير في الفضاء الكامن",
+  "Upscale latent space image when doing hires. fix": "عند اختيار \"إصلاح الدقة العالية\" قم بالتكبير في الفضاء الكامن",
   "Face restoration": "تحسين الوجوه",
   "Face restoration model": "نموذج تحسين الوجوه",
   "Restore low quality faces using GFPGAN neural network": "استخدم نموذج GFPGAN لتحسين الوجوه",
@@ -358,12 +358,12 @@
   "This string will be used to join split words into a single line if the option above is enabled.": "سيستخدم بين كل كلمة يتم استخراجها من الخيار السابق",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد مرات تكرار الصور في كل دورة (Epoch)، يستخدم للعرض فقط",
   "Save an csv containing the loss to log directory every N steps, 0 to disable": "احفظ خسارة التدريب (Loss) في السجل بعد كل كم خطوة (لا تحفظ إذا كان 0)",
-  "Stable Diffusion": "نموذج التشعث الرزين (Stable Diffusion)",
+  "Stable Diffusion": "نموذج الإنتشار المستقر (Stable Diffusion)",
   "Checkpoints to cache in RAM": "عدد النماذج التي تترك في الذاكرة العشوائية (RAM)",
   "Hypernetwork strength": "قوة الشبكة الفائقة",
   "Apply color correction to img2img results to match original colors.": "صحح ألوان نتائج صورة إلى صورة لتشابه الصورة الأصلية",
   "Save a copy of image before applying color correction to img2img results": "احفظ نسخة من الصور المنتجة من صورة إلى صورة قبل عملية تصحيح الألوان",
-  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "استخدم بالضبط عدد الخطوات المحددة بالرغم من قسط المشوار (عدد الخطوات الإفتراضي = عدد الخطوات / قسط المشوار)",
+  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "استخدم بالضبط عدد الخطوات المحددة بالرغم عن المدى (عدد الخطوات الإفتراضي = عدد الخطوات / المدى)",
   "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "فعل التجزيء الكمي (Quantization) لأغلب أساليب الخطو (k-diffusion) للحصول على صور أنظف (يتطلب إعادة تشغيل)",
   "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "أحط أي كلمة أو عبارة في الطلب أو عكسه بأقواس () للتشديد أو [] للتيسير",
   "Use old emphasis implementation. Can be useful to reproduce old seeds.": "استخدم الطريقة القديمة للتشديد (إذا كانت لديك نتائج قديمة تريد تجربتها)",
@@ -419,6 +419,6 @@
   "Minimum number of pages per load": "أقل عدد صور يتم تحميلها كل مرة",
   "Request browser notifications": "اطلب تنبيهات المتصفح",
   "Download localization template": "حمل ملف اللغة",
-  "Reload custom script bodies (No ui updates, No restart)": "أعد تحميل الأدوات (بدون واجهة المستخدم ولا يحتاج إعادة تشغيل)",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تحميل مكونات gradio (الأدوات الخاصة وواجهة المستخدم فقط)"
+  "Reload custom script bodies (No ui updates, No restart)": "أعد تحميل الأدوات الخاصة (بدون واجهة المستخدم ولا يحتاج إعادة تشغيل)",
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تشغيل gradio والأدوات الخاصة وواجهة المستخدم فقط"
 }
\ No newline at end of file

From 95b8e49e5b21b58d0e3c0684be7fa55923809771 Mon Sep 17 00:00:00 2001
From: Martucci <73501718+M-art-ucci@users.noreply.github.com>
Date: Wed, 26 Oct 2022 20:04:48 -0300
Subject: [PATCH 222/321] Localization file for portuguese (brazil)

---
 localizations/pt_BR.json | 472 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 472 insertions(+)
 create mode 100644 localizations/pt_BR.json

diff --git a/localizations/pt_BR.json b/localizations/pt_BR.json
new file mode 100644
index 00000000..a2a9be72
--- /dev/null
+++ b/localizations/pt_BR.json
@@ -0,0 +1,472 @@
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Carregando...",
+    "view": "Visualizar",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "montado com gradio",
+    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extras",
+    "PNG Info": "PNG Info",
+    "History": "Histórico",
+    "Checkpoint Merger": "Checkpoint Merger",
+    "Train": "Treinar",
+    "Settings": "configurações",
+    "Prompt": "Prompt",
+    "Negative prompt": "Prompt negativo",
+    "Run": "Rodar",
+    "Skip": "Pular",
+    "Interrupt": "Interromper",
+    "Generate": "Gerar",
+    "Style 1": "Estilo 1",
+    "Style 2": "Estilo 2",
+    "Label": "Etiqueta",
+    "File": "Arquivo",
+    "Drop File Here": "Arraste aqui o arquivo",
+    "-": "-",
+    "or": "ou",
+    "Click to Upload": "Clique para subir",
+    "Image": "Imagem",
+    "Check progress": "Checar progresso",
+    "Check progress (first)": "Checar progresso (primeiro)",
+    "Sampling Steps": "Sampling Steps",
+    "Sampling method": "Sampling method",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Largura",
+    "Height": "Altura",
+    "Restore faces": "Refinar rosto",
+    "Tiling": "Estilo azulejo",
+    "Highres. fix": "Ajuste de alta resolução",
+    "Firstpass width": "Largura Firstpass",
+    "Firstpass height": "Altura Firstpass",
+    "Denoising strength": "Força do Denoise",
+    "Batch count": "Quantidade por leva",
+    "Batch size": "Quantidade de levas",
+    "CFG Scale": "Escala CFG",
+    "Seed": "Seed",
+    "Extra": "Extra",
+    "Variation seed": "Variação de seed",
+    "Variation strength": "Forca da variação",
+    "Resize seed from width": "Ajustar seed a partir da largura",
+    "Resize seed from height": "Ajustar seed a partir da altura",
+    "Script": "Script",
+    "None": "Nenhum",
+    "Prompt matrix": "Matriz de Prompt",
+    "Prompts from file or textbox": "Prompts de arquivo ou caixa de texto",
+    "X/Y plot": "X/Y plot",
+    "Put variable parts at start of prompt": "Colocar partes variáveis no começo do prompt",
+	"Iterate seed every line": "Iterar seed em todas as linhas",
+    "List of prompt inputs": "Lista de textos para prompt",
+    "Upload prompt inputs": "Subir textos para prompts",
+    "X type": "X type",
+    "Nothing": "Nada",
+    "Var. seed": "Var. seed",
+    "Var. strength": "Var. da força",
+    "Steps": "Steps",
+    "Prompt S/R": "Prompt S/R",
+    "Prompt order": "Ordem de Prompt",
+    "Sampler": "Sampler",
+    "Checkpoint name": "Nome do intervalo",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernet str.",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min",
+    "Sigma max": "Sigma max",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip skip",
+    "Denoising": "Denoising",
+    "X values": "X values",
+    "Y type": "Y type",
+    "Y values": "Y values",
+    "Draw legend": "Draw legend",
+    "Include Separate Images": "Incluir Imagens Separadas",
+    "Keep -1 for seeds": "Manter em -1 para seeds",
+    "Save": "Salvar",
+    "Send to img2img": "Mandar para img2img",
+    "Send to inpaint": "Mandar para inpaint",
+    "Send to extras": "Mandar para extras",
+    "Make Zip when Save?": "Criar um Zip quando salvar?",
+    "Textbox": "Caixa de texto",
+    "Interrogate\nCLIP": "Interrogar\nCLIP",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Leva de img2img",
+    "Image for img2img": "Imagem para img2img",
+    "Drop Image Here": "Arrastar imagem para cá",
+    "Image for inpainting with mask": "Imagem para inpainting com máscara",
+    "Mask": "Mascara",
+    "Mask blur": "Borda da máscara",
+    "Mask mode": "Modo de máscara",
+    "Draw mask": "Desenhar máscara",
+    "Upload mask": "Subir máscara",
+    "Masking mode": "Tipo de máscara",
+    "Inpaint masked": "Inpaint o que esta dentro da máscara",
+    "Inpaint not masked": "Inpaint o que esta fora da máscara",
+    "Masked content": "Conteúdo da máscara",
+    "fill": "preencher",
+    "original": "original",
+    "latent noise": "latent noise",
+    "latent nothing": "latent nothing",
+    "Inpaint at full resolution": "Inpaint em resolução máxima",
+    "Inpaint at full resolution padding, pixels": "Inpaint em resolução máxima de padding, pixels",
+    "Process images in a directory on the same machine where the server is running.": "Processar imagens no diretório da mesma maquina onde o servidor está rodando.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usar um diretório vazio para salvar imagens, ao invés de salvá-las no diretório output.",
+    "Input directory": "Diretório de Input",
+    "Output directory": "Diretório de Output",
+    "Resize mode": "Modo de aumento",
+    "Just resize": "Apenas aumentar",
+    "Crop and resize": "Cortar e aumentar",
+    "Resize and fill": "Aumentar e preencher",
+    "img2img alternative test": "Teste alternativo de img2img",
+    "Loopback": "Loopback",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Poor man's outpainting",
+    "SD upscale": "Aumento SD",
+    "should be 2 or lower.": "precisa ser 2 ou menor.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Sobrepor 'sampling method' para Euler? (esse método foi feito para isso)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Sobrepor 'prompt' para o mesmo valor que o 'prompt original'? (também para o 'prompt negativo')",
+    "Original prompt": "Prompt Original",
+    "Original negative prompt": "Prompt Negativo Original",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Sobrepor 'Sampling Steps' para o mesmo valor que 'Decode steps'?",
+    "Decode steps": "Decode steps",
+    "Override `Denoising strength` to 1?": "Sobrepor 'Forca do Denoise' para 1?",
+    "Decode CFG scale": "Escala CFG de Decode",
+    "Randomness": "Aleatoriedade",
+    "Sigma adjustment for finding noise for image": "Ajuste Sigma para encontrar ruído para imagem",
+    "Loops": "Loops",
+    "Denoising strength change factor": "Fator de mudança na força do Denoise",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Configurações recomendadas",
+    "Pixels to expand": "Pixels para expandir",
+    "Outpainting direction": "Direção do Outpainting",
+    "left": "esquerda",
+    "right": "direita",
+    "up": "cima",
+    "down": "baixo",
+    "Fall-off exponent (lower=higher detail)": "Exponente Fall-off exponent (menor=mais detalhes)",
+    "Color variation": "Variação de cor",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Aumenta a imagem para duas vezes as dimensoes; ajuste a largura e altura para definir o tamanho do azulejo",
+    "Tile overlap": "sobreposicao de azulejo",
+    "Upscaler": "Ferramenta de aumento",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR 4x": "SwinIR 4x",
+    "Single Image": "Imagem Única",
+    "Batch Process": "Processo em Levas",
+    "Batch from Directory": "Levas a partir de diretório",
+    "Source": "Origem",
+    "Show result images": "Mostrar imagens resultantes",
+    "Scale by": "Aumentar proporcionalmente em",
+    "Scale to": "Aumentar proporcionalmente para",
+    "Resize": "Aumentar para",
+    "Crop to fit": "Cortar para caber",
+    "Upscaler 2 visibility": "Visibilidade da ferramenta de aumento 2",
+    "GFPGAN visibility": "Visibilidade GFPGAN",
+    "CodeFormer visibility": "Visibilidade CodeFormer",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso do CodeFormer (0 = efeito máximo, 1 = efeito mínimo)",
+    "Open output directory": "Abrir diretorio de output",
+    "Send to txt2img": "Mandar para txt2img",
+    "A merger of the two checkpoints will be generated in your": "Uma combinação de dois intervalos vai ser gerado em",
+    "checkpoint": "intervalo",
+    "directory.": "diretório.",
+    "Primary model (A)": "Modelo Primário (A)",
+    "Secondary model (B)": "Modelo Secundário (B)",
+    "Tertiary model (C)": "Modelo Terciário (C)",
+    "Custom Name (Optional)": "Nome Personalizado (Opcional)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplicador (M) - definir em 0 para obter o modelo A",
+    "Interpolation Method": "Método de Interpolação",
+    "Weighted sum": "Soma de weights",
+    "Add difference": "Acrescentar diferença",
+    "Save as float16": "Salvar como float16",
+    "See": "Veja",
+    "wiki": "wiki",
+    "for detailed explanation.": "para explicações detalhadas.",
+    "Create embedding": "Criar embedding",
+    "Create hypernetwork": "Criar hypernetwork",
+    "Preprocess images": "Pré-processar imagens",
+    "Name": "Nome",
+    "Initialization text": "Texto de Inicialização",
+    "Number of vectors per token": "Número de vetores por token",
+    "Overwrite Old Embedding": "Sobrescrever Embedding Anterior",
+    "Modules": "Módulos",
+    "Enter hypernetwork layer structure": "Inserir camada estrutural de hypernetwork",
+    "Select activation function of hypernetwork": "Selecionar a função de ativação de hypernetwork",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "tanh": "tanh",
+    "sigmoid": "sigmoid",
+    "celu": "celu",
+    "gelu": "gelu",
+    "glu": "glu",
+    "hardshrink": "hardshrink",
+    "hardsigmoid": "hardsigmoid",
+    "hardswish": "hardswish",
+    "hardtanh": "hardtanh",
+    "logsigmoid": "logsigmoid",
+    "logsoftmax": "logsoftmax",
+    "mish": "mish",
+    "multiheadattention": "multiheadattention",
+    "prelu": "prelu",
+    "rrelu": "rrelu",
+    "relu6": "relu6",
+    "selu": "selu",
+    "silu": "silu",
+    "softmax": "softmax",
+    "softmax2d": "softmax2d",
+    "softmin": "softmin",
+    "softplus": "softplus",
+    "softshrink": "softshrink",
+    "softsign": "softsign",
+    "tanhshrink": "tanhshrink",
+    "threshold": "threshold",
+    "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Selecionar a inicialização de weiths de camada. relu-like - Kaiming, sigmoid-like - Xavier é recomendado",
+    "Normal": "Normal",
+    "KaimingUniform": "KaimingUniform",
+    "KaimingNormal": "KaimingNormal",
+    "XavierUniform": "XavierUniform",
+    "XavierNormal": "XavierNormal",
+    "Add layer normalization": "Adicionar camada de normalização",
+    "Use dropout": "Sobrescrever Hypernetwork Anterior",
+    "Overwrite Old Hypernetwork": "Sobrescrever Hypernetwork Anterior",
+    "Source directory": "Diretório de origem",
+    "Destination directory": "Diretório de destino",
+    "Existing Caption txt Action": "Ação de legenda txt já existente",
+    "ignore": "ignorar",
+    "copy": "copiar",
+    "prepend": "preceder",
+    "append": "acrescentar",
+    "Create flipped copies": "Criar cópias espelhadas",
+    "Split oversized images into two": "Dividir imagens maiores em duas",
+    "Auto focal point crop": "Ajuste de corte em ponto focal automático",
+    "Use BLIP for caption": "Usar BLIP para legenda",
+    "Use deepbooru for caption": "Usar deepbooru para legenda",
+    "Split image threshold": "Limite de separação de imagem",
+    "Split image overlap ratio": "Proporção de sobreposição da separação de imagem",
+    "Focal point face weight": "Weight de ponto focal para rosto",
+    "Focal point entropy weight": "Weight de ponto focal para entropia",
+    "Focal point edges weight": "Weight de ponto focal para bordas",
+    "Create debug image": "Criar imagem de depuração",
+    "Preprocess": "Pré-processar",
+    "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Treinar um embedding; precisa especificar um diretório com imagens de proporção 1:1",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Learning rate": "Taxa de aprendizagem",
+    "Hypernetwork Learning rate": "Taxa de treinamento de Hypernetwork",
+    "Dataset directory": "Diretório de Dataset",
+    "Log directory": "Diretório de Log",
+    "Prompt template file": "Arquivo padrão de Prompt",
+    "Max steps": "Steps máximos",
+    "Save an image to log directory every N steps, 0 to disable": "Salvar uma imagem no diretório de log a cada N steps. 0 para desativar",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Salva uma cópia do embedding no diretório de log a cada N steps. 0 para desativar",
+    "Save images with embedding in PNG chunks": "Salva imagens com embedding em blocos de PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Ler parâmetros (prompt, etc...) para a aba txt2img durante os previews",
+    "Train Hypernetwork": "Treinar Hypernetwork",
+    "Train Embedding": "Treinar Embedding",
+    "Apply settings": "Aplicar configurações",
+    "Saving images/grids": "Salvar imagens/grades",
+    "Always save all generated images": "Sempre salvar todas as imagens geradas",
+    "File format for images": "Tipo de formato das imagens salvas",
+    "Images filename pattern": "Padrão de nomeação para imagens salvas",
+    "Add number to filename when saving": "Adicionar número para o nome do arquivo quando salvar",
+    "Always save all generated image grids": "Sempre salvar todas as grades de imagens",
+    "File format for grids": "Tipo de formato das grades de imagens salvas",
+    "Add extended info (seed, prompt) to filename when saving grid": "Adicionar informações extras (seed, prompt) para os arquivos quando gerar uma grade",
+    "Do not save grids consisting of one picture": "Não salvar grades de apenas uma imagem",
+    "Prevent empty spots in grid (when set to autodetect)": "Previnir pontos vazios na grade (quando marcado para autodetectar)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Contagem de colunas da grade; -1 para autodetectar e 0 para ser igual ao valor do tamanho das levas",
+    "-1": "-1",
+    "Save text information about generation parameters as chunks to png files": "Salvar informações de parâmetros de geração como blocos png",
+    "Create a text file next to every image with generation parameters.": "Criar um arquivo de texto com informações de geração junto a cada imagem gerada.",
+    "Save a copy of image before doing face restoration.": "Salva uma cópia de cada imagem antes do refinamento facial.",
+    "Quality for saved jpeg images": "Qualidade das imagens jpeg",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Se a imagem PNG for maior que 4MB ou qualquer dimensão mair que 4000, diminuir e salvar uma cópia em JPG",
+    "Use original name for output filename during batch process in extras tab": "Usar o nome original para os arquivos de output durante o processo de levas da aba Extras",
+    "When using 'Save' button, only save a single selected image": "Quando usar o botão 'Salvar', somente salvar as imagens selecionadas.",
+    "Do not add watermark to images": "Não adicionar marca dágua nas imagens",
+    "Paths for saving": "Caminho para salvamento",
+    "Output directory for images; if empty, defaults to three directories below": "Diretório de output para imagens; se deixado em branco, as imagens vao para os seguintes diretórios",
+    "Output directory for txt2img images": "Diretório de Output para imagens txt2img",
+    "Output directory for img2img images": "Diretório de Output para imagens img2img",
+    "Output directory for images from extras tab": "Diretório de Output para a aba Extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Diretório de Output para grades; se vazio, vão para os diretórios seguintes",
+    "Output directory for txt2img grids": "Diretório de Output para grades de imagens txt2img",
+    "Output directory for img2img grids": "Diretório de Output para grades de imagens img2img",
+    "Directory for saving images using the Save button": "Diretório de Output para imagens salvas com o botão 'Salvar'",
+    "Saving to a directory": "Salvando para um diretório",
+    "Save images to a subdirectory": "Salvar imagens para um subdiretório",
+    "Save grids to a subdirectory": "Salvar grades de imagens para um subdiretório",
+    "When using \"Save\" button, save images to a subdirectory": "Quando usar o botão \"Salvar\", sasalvar imagens para um subdiretório",
+    "Directory name pattern": "Padrão de nomeacao de diretório",
+    "Max prompt words for [prompt_words] pattern": "Número máximo de palavras do padrão de prompt [prompt_words]",
+    "Upscaling": "Aumentando",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamanho do azulejo para ferramenta de aumento ESRGAN. 0 = sem azulejo.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sobreposição de azulejo, em pixels, para ferramentas de aumento ESRGAN. Valores baixos = junção mais aparente.",
+    "Tile size for all SwinIR.": "Tamanho do azulejo para todo SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Sobreposição de azulejo, em pixels,  para SwinIR. Valores baixos = junção mais aparente.",
+    "LDSR processing steps. Lower = faster": "Steps de processamento LDSR. Menos = rápido",
+    "Upscaler for img2img": "Ferramenta de aumento para img2img",
+    "Upscale latent space image when doing hires. fix": "Aumento em imagem latent space quando usando a resolução de alta definição - hires. fix",
+    "Face restoration": "Refinamento de rosto",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Paramento de CodeFormer weight; 0 = efeito máximo; 1 = efeito mínimo",
+    "Move face restoration model from VRAM into RAM after processing": "Mover o processo de refinamento de rosto da VRAM da placa de vídeo para a RAM do computador depois do processamento.",
+    "System": "System",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Uso de VRAM por segundo durante gerações. Deixar em 0 para desativar.",
+    "Always print all generation info to standard output": "Sempre mostrar as informações de todas as gerações no padrão de output",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Adicionar uma segunda barra de processamento no console que mostra a progressão de todo o trabalho.",
+    "Training": "Treinando",
+    "Unload VAE and CLIP from VRAM when training": "Desativar VAE e CLIP da VRAM quando treinando",
+    "Filename word regex": "Palavra de nome de arquivo regex",
+    "Filename join string": "Nome de arquivo join string",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repetições para input único de imagens por epoch; serve apenas para mostrar o número de epoch",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Salvar um csv com as perdas para o diretório de log a cada N steps, 0 para desativar",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Intervalos para manter na RAM",
+    "Hypernetwork strength": "Força da Hypernetwork",
+    "Apply color correction to img2img results to match original colors.": "Aplicar correção de cor nas imagens geradas em img2img, usando a imagem original como base. Recomendação: se marcar essa opção, marcar também a de baixo",
+    "Save a copy of image before applying color correction to img2img results": "Salvar uma cópia das imagens geradas em img2img antes de aplicar a correção de cor",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Durante gerações img2img, fazer examente o número de steps definidos na barra (normalmente você faz menos steps com denoising menor).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Ativar quantização em K samples para resultados mais nítidos e visíveis. Pode alterar seeds ja existentes. Precisa reiniciar para funcionar.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Ênfase: usar parênteses ao redor de palavras (texto de exemplo) para fazer o modelo dar mais atenção par aquela palavra ou frase, e chaves [texto de exemplo] para tirar atenção",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usar método anterior de implementação de ênfase. Útil para reproduzir seeds antigas.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Faz os samplers K-diffusion produzirem imagens iguais em levas quando criando uma única imagem",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta a coerência por padding da última vírgula dentro de n tokens quando usar mais de 75 tokens",
+    "Filter NSFW content": "Filtrar conteúdo NSFW",
+    "Stop At last layers of CLIP model": "Para na última cada do CLIP model",
+    "Interrogate Options": "Opções de Interrogaçõ",
+    "Interrogate: keep models in VRAM": "Interrogar: manter modelos na VRAM",
+    "Interrogate: use artists from artists.csv": "Interrogar: usa artistas e estilos do documento artists.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir filas de model tags combinando nos resultados(Não tem efeito na interrogação feita por legenda).",
+    "Interrogate: num_beams for BLIP": "Interrogar: num_beams para BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interrogar: tamanho mínimo da descrição (tirando artistas, etc..)",
+    "Interrogate: maximum description length": "Interrogar: tamanho máximo da descrição",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: núumero máximo de linhas no arquivo de texto(0 = Sem limites NÃO RECOMENDADO)",
+    "Interrogate: deepbooru score threshold": "Interrogate: limite de score deepbooru",
+    "Interrogate: deepbooru sort alphabetically": "Interrogar: organizar deepbooru por ordem alfabética",
+    "use spaces for tags in deepbooru": "usar epaços para tags em deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "espaço (\\) colchetes em deepbooru (são usados como colchetes ao invés de dar ênfase)",
+    "User interface": "Interface de Usuário",
+    "Show progressbar": "Mostrar barra de progresso",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Mostrar a criação de imagens a cada N sampling steps. Em 1 já dá para ver o processo de geração. Marcar como 0 para desativar.",
+    "Show previews of all images generated in a batch as a grid": "Mostrar previsualização de todas as imagens geradas em leva numa grade",
+    "Show grid in results for web": "Mostrar grade em resultados para web",
+    "Do not show any images in results for web": "Nao mostrar nenhuma imagem em resultados para web",
+    "Add model hash to generation information": "Adicionar hash do modelo para infromação de geração",
+    "Add model name to generation information": "Adicionar nome do modelo para infromação de geração",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Quando ler parâmetros de texto para a interface (de informações de PNG ou texto copiado), não alterar o modelo/intervalo selecionado.",
+    "Font for image grids that have text": "Fonte para grade de imagenss que tem texto",
+    "Enable full page image viewer": "Ativar visualizador de página inteira",
+    "Show images zoomed in by default in full page image viewer": "Mostrar imagens com zoom por definição no visualizador de página inteira",
+    "Show generation progress in window title.": "Mostrar barra de progresso no nome da janela.",
+    "Quicksettings list": "Lista de configurações rapidas",
+    "Localization (requires restart)": "Localização (precisa reiniciar)",
+    "Sampler parameters": "Parâmetros de Sampler",
+    "ar_AR": "ar_AR",
+    "es_ES": "es_ES",
+    "fr-FR": "fr-FR",
+    "ja_JP": "ja_JP",
+    "ko_KR": "ko_KR",
+    "ru_RU": "ru_RU",
+    "tr_TR": "tr_TR",
+    "zh_CN": "zh_CN",
+    "Sampler parameters": "Parâmetros de Sampler",
+    "Hide samplers in user interface (requires restart)": "Esconder samplers na interface de usuário (precisa reiniciar)",
+    "eta (noise multiplier) for DDIM": "eta (noise multiplier) para DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) para ancestral samplers",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "uniform",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Pedir notificações de browser",
+    "Download localization template": "Download de template para localização",
+    "Reload custom script bodies (No ui updates, No restart)": "Recarregar scripts personalizados (Sem atualizar o UI, Sem reiniciar)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Recarregar Gradio e atualizar componentes (Scripts personalizados, ui.py, js e css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (apertar Ctrl+Enter ou Alt+Enter para gerar)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt Negativo (apertar Ctrl+Enter ou Alt+Enter para gerar)",
+    "Add a random artist to the prompt.": "Adicionar um artista aleatório para o prompt.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Lê os parâmetros de geração do prompt ou da última geraçao, caso o prompt esteja vazio.",
+    "Save style": "Salva um estilo de prompt.",
+    "Apply selected styles to current prompt": "Aplica o estilo para o prompt atual.",
+    "Stop processing current image and continue processing.": "Pula a imagem sendo gerada e vai para a próxima.",
+    "Stop processing images and return any results accumulated so far.": "Interrompe o processo e mostra o que foi gerado até então.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Estilo para aplicar; também serve para o prompt negativo e vai preencher se usado.",
+    "Do not do anything special": "Não faz nada de especial",
+    "Which algorithm to use to produce the image": "O tipo de algoritmo para gerar imagens.",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - cria mais variações para as imagens em diferentes passos. Mais que 40 passos cancela o efeito.",
+    "Denoising Diffusion Implicit Models - Funciona melhor para inpainting.": "Denoising Diffusion Implicit Models - Funciona melhor para inpainting.",
+    "Produce an image that can be tiled.": "Cria uma imagem que emenda nela mesma pelas bordas. Testar em https://www.pycheung.com/checker/.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Cria um processo em duas etapas, com uma imagem em baixa qualidade primeiro, aumenta a imagem e refina os detalhes sem alterar a composição da imagem",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Quanto o algoritmo deve manter da imagem original. Em 0, nada muda. Em 1 o algoritmo ignora a imagem original. Valores menores que 1.0 demoram mais.",
+    "How many batches of images to create": "Quantas imagens criar em uma leva.",
+    "How many image to create in a single batch": "Quantas levas criar (multiplica o valor pelo Batch count).",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - Quanto maior o valor, mais segue o prompt e quanto menor, menor segue.",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Codigo de geração de uma imagem - criando uma imagem com os mesmos parâmetros e seed trazem o mesmo resultado.",
+    "Set seed to -1, which will cause a new random number to be used every time": "Define seed como -1, deixando o valor que vai aparecer como aleatório.",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Reutiliza o seed da última geração",
+    "Seed of a different picture to be mixed into the generation.": "Usar um seed de outra imagem para a geração.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Qual a variação a ser gerada. Em 0, não tem efeito. Em 1, gera uma imagem completa com a variação de seed, (exceto com samplers a).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Tenta gerar uma imagem similar ao que teria sido feito com a mesma seed em dimensões especifica.",
+    "Separate values for X axis using commas.": "Separa os valores para o eixo X usando vírgulas.",
+    "Separate values for Y axis using commas.": "Separa os valores para o eixo Y usando vírgulas.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Salva a imagem no diretório padrão ou escolhido e cria um arquivo csv com os parâmetros da geração.",
+    "Open images output directory": "Abre o diretório de saída de imagens.",
+    "How much to blur the mask before processing, in pixels.": "Transição do contorno da máscara, em pixels.",
+    "What to put inside the masked area before processing it with Stable Diffusion.":  "O que vai dentro da máscara antes de processar.",
+	"fill it with colors of the image": "Preenche usando as cores da imagem.",
+    "keep whatever was there originally": "Mantem o que estava dentro.",
+    "fill it with latent space noise": "Preenche com ruídos.",
+    "fill it with latent space zeroes": "Preenche com zeros.",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Utiliza o processo de aumentar a imagem e depois reduz a qualidade para preencher a região. Consome mais tempo.",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Se a imagem não for quadrada, estica ela para caber nas dimensões escolhidas.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Mantém o máximo da imagem dentro das dimensões escolhidas e corta o resto.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Coloca a imagem inteira dentro das dimensões escolhidas e preenche o espaço vazio.",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Quantas vezes vai reutilizar a imagem para o processo em loop.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Quantos pixels se sobrepõe durante o aumento da imagem, para garantir que não haverá marcas.",
+    "A directory on the same machine where the server is running.": "Um diretório na mesma máquina onde o server está rodando.",
+    "Leave blank to save images to the default path.": "Deixar em branco para salvar imagens no diretório padrão.",
+    "Result = A * (1 - M) + B * M": "Resultado = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Resultado = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "Primeiro e último dígito precisam ser 1. ex:'1, 2, 1'",
+    "Path to directory with input images": "Diretório para imagens de entrada",
+    "Path to directory where to write outputs": "Diretório para salvar imagens de saída",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos arquivos sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrao.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se esta opção estiver marcada, as imagens não vão ter marca dágua. Aviso: se você não quer a marca dágua, você pode estar se envolvendo em comportamentos antiéticos",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos subdiretorios e ghrades sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrao.",
+    "Restore low quality faces using GFPGAN neural network": "Restaurar baixa qualidade de rosto usando a rede neural GFPGAN",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Esta expressão regular vai retirar palavras do nome do arquivo e vai se juntar usando a opção abaixo em etiquetas usadas em treinamento. Não mexer para manter os nomes como estão.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Junta palavras separadas em uma linha só.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nomes de configuração, separados por vírgulas, para configurações que ficam na barra de acesso rápido do topo. Mais detalhes em modules/shared.py para configurações de nomes. Precisa reiniciar o webui-user.bat.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Se o valor não for 0, vai ser adicionado ao seed e usado para gerar ruídos aleatórios quando o sampler tem estimativa de entrega. Isso traz mais variações de imagens ou coincide com imagens de outras aplicações (quando você sabe o que esta fazendo).",
+    "/0.0": "/0.0",
+    "queue:": "queue:",
+    "/": "/",
+    "|": "|",
+    "processing |": "processando |",
+    "localizationpt": "localizationpt"
+}
+
+

From c40994a7b25df472c7c1b0b5adc36e8a8c169e29 Mon Sep 17 00:00:00 2001
From: benlisquare <benlisquare>
Date: Thu, 27 Oct 2022 10:41:19 +1100
Subject: [PATCH 223/321] adjustments to zh_TW localisation per suggestions by
 dtlnor

---
 localizations/zh_TW.json | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/localizations/zh_TW.json b/localizations/zh_TW.json
index 43db9c31..43f95498 100644
--- a/localizations/zh_TW.json
+++ b/localizations/zh_TW.json
@@ -9,12 +9,12 @@
     "api": "api",
     "•": "•",
     "built with gradio": "基於 Gradio 構建",
-    "Stable Diffusion checkpoint": "Stable Diffusion 模型",
+    "Stable Diffusion checkpoint": "Stable Diffusion 模型權重存檔點",
     "txt2img": "文生圖",
     "img2img": "圖生圖",
     "Extras": "後處理",
     "PNG Info": "PNG 信息",
-    "Checkpoint Merger": "模型合併工具",
+    "Checkpoint Merger": "模型權重存檔點合併工具",
     "Train": "訓練",
     "Create aesthetic embedding": "生成美術風格 embedding",
     "Image Browser": "圖庫瀏覽器",
@@ -99,7 +99,7 @@
     "Prompt S/R": "提示詞替換",
     "Prompt order": "提示詞順序",
     "Sampler": "採樣器",
-    "Checkpoint name": "模型名",
+    "Checkpoint name": "模型權重存檔點的名稱",
     "Hypernetwork": "Hypernetwork",
     "Hypernet str.": "Hypernetwork 強度",
     "Sigma Churn": "Sigma Churn",
@@ -206,8 +206,8 @@
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 權重 (0 = 最大效果, 1 = 最小效果)",
     "Open output directory": "打開輸出目錄",
     "Send to txt2img": ">> 文生圖",
-    "A merger of the two checkpoints will be generated in your": "合併後的模型會生成在你的",
-    "checkpoint": "模型",
+    "A merger of the two checkpoints will be generated in your": "合併後的模型權重存檔點會生成在你的",
+    "checkpoint": "模型權重存檔點",
     "directory.": "目錄",
     "Primary model (A)": "主要模型 (A)",
     "Secondary model (B)": "第二模型 (B)",
@@ -357,7 +357,7 @@
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每個 epoch 中單個輸入圖像的重複次數； 僅用於顯示 epoch 數",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一個包含 loss 的CSV到日誌目錄，0 表示禁用",
     "Stable Diffusion": "Stable Diffusion",
-    "Checkpoints to cache in RAM": "緩存在內存(RAM)中的模型",
+    "Checkpoints to cache in RAM": "緩存在內存(RAM)中的模型權重存檔點",
     "Hypernetwork strength": "Hypernetwork 強度",
     "Apply color correction to img2img results to match original colors.": "對圖生圖結果應用顏色校正以匹配原始顏色",
     "Save a copy of image before applying color correction to img2img results": "在對圖生圖結果應用顏色校正之前保存圖像副本",
@@ -389,7 +389,7 @@
     "Do not show any images in results for web": "不在網頁的結果中顯示任何圖像",
     "Add model hash to generation information": "將模型的雜湊值添加到生成信息",
     "Add model name to generation information": "將模型名稱添加到生成信息",
-    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "當從文本讀取生成參數到 UI（從 PNG 信息或粘貼文本）時，不要更改選定的模型",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "當從文本讀取生成參數到 UI（從 PNG 信息或粘貼文本）時，不要更改選定的模型權重存檔點",
     "Font for image grids that have text": "有文字的概覽圖使用的字體",
     "Enable full page image viewer": "啟用整頁圖像查看器",
     "Show images zoomed in by default in full page image viewer": "在整頁圖像查看器中預設放大顯示圖像",

From 84956d2377dbe81a3f97e47a3b695163ce0a6fcb Mon Sep 17 00:00:00 2001
From: benlisquare <116663807+benlisquare@users.noreply.github.com>
Date: Thu, 27 Oct 2022 10:42:44 +1100
Subject: [PATCH 224/321] Update localizations/zh_TW.json per dtlnor's
 suggestion

Co-authored-by: dtlnor <dtlnor@hotmail.com>
---
 localizations/zh_TW.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh_TW.json b/localizations/zh_TW.json
index 43f95498..4eb25f44 100644
--- a/localizations/zh_TW.json
+++ b/localizations/zh_TW.json
@@ -280,7 +280,7 @@
     "Renew Page": "刷新頁面",
     "extras": "後處理",
     "favorites": "收藏夾",
-    "custom fold": "自定義檔案夾",
+    "custom fold": "自定義資料夾",
     "Load": "載入",
     "Images directory": "圖像目錄",
     "Prev batch": "上一批",

From 54e7bfd1aeb073346abf532ada4714d8a0f3b2d4 Mon Sep 17 00:00:00 2001
From: benlisquare <116663807+benlisquare@users.noreply.github.com>
Date: Thu, 27 Oct 2022 10:42:57 +1100
Subject: [PATCH 225/321] Update localizations/zh_TW.json per dtlnor's
 suggestion

Co-authored-by: dtlnor <dtlnor@hotmail.com>
---
 localizations/zh_TW.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/zh_TW.json b/localizations/zh_TW.json
index 4eb25f44..0efc7436 100644
--- a/localizations/zh_TW.json
+++ b/localizations/zh_TW.json
@@ -144,7 +144,7 @@
     "Inpaint at full resolution": "以完整解析度進行內補繪製",
     "Inpaint at full resolution padding, pixels": "以完整解析度進行內補繪製 - 填補畫素",
     "Process images in a directory on the same machine where the server is running.": "在伺服器主機上的目錄中處理圖像",
-    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一個空的檔案夾為輸出目錄而非預設的 output 檔案夾為輸出目錄",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一個空的資料夾為輸出目錄而非預設的 output 資料夾為輸出目錄",
     "Disabled when launched with --hide-ui-dir-config.": "啟動 --hide-ui-dir-config 時禁用",
     "Input directory": "輸入目錄",
     "Output directory": "輸出目錄",

From 2ce6b646a719efde2062e1a2c742f7e5bbd1f7b6 Mon Sep 17 00:00:00 2001
From: LunixWasTaken <Lunixwastaken@protonmail.com>
Date: Thu, 27 Oct 2022 03:03:14 +0200
Subject: [PATCH 226/321] Add german Localization file.

---
 localizations/de_DE.json | 419 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 419 insertions(+)
 create mode 100644 localizations/de_DE.json

diff --git a/localizations/de_DE.json b/localizations/de_DE.json
new file mode 100644
index 00000000..b52fa681
--- /dev/null
+++ b/localizations/de_DE.json
@@ -0,0 +1,419 @@
+ 
+{
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Lädt...",
+    "view": "zeigen",
+    "api": "api",
+    "•": "•",
+    "built with gradio": "Erstellt mit Gradio",
+    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extras",
+    "PNG Info": "PNG Info",
+    "Checkpoint Merger": "Checkpoint Merger",
+    "Train": "Trainieren",
+    "Settings": "Einstellungen",
+    "Prompt": "Prompt",
+    "Negative prompt": "Negativer Prompt",
+    "Run": "Ausführen",
+    "Skip": "Überspringen",
+    "Interrupt": "Abbrechen",
+    "Generate": "Generieren",
+    "Style 1": "Style 1",
+    "Style 2": "Style 2",
+    "Label": "Bezeichnung",
+    "File": "Datei",
+    "Drop File Here": "Datei hier ablegen",
+    "-": "-",
+    "o": "o",
+    "Click to Upload": "Klicken zum Hochladen",
+    "Image": "Bild",
+    "Check progress": "Fortschitt prüfen",
+    "Check progress (first)": "Fortschritt prüfen (Initial)",
+    "Sampling Steps": "Sampling Steps",
+    "Sampling method": "Sampling method",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Breite",
+    "Height": "Höhe",
+    "Restore faces": "Gesichter wiederherstellen",
+    "Tiling": "Kacheln",
+    "Highres. fix": "Highres. fix",
+    "Firstpass width": "Breite erstdurchlauf",
+    "Firstpass height": "Höhe erstdurchlauf",
+    "Denoising strength": "Denoising stärke",
+    "Batch count": "Batch anzahl",
+    "Batch size": "Batch größe",
+    "CFG Scale": "CFG Scale",
+    "Seed": "Seed",
+    "Extra": "Extra",
+    "Variation seed": "Variation seed",
+    "Variation strength": "Variation strength",
+    "Resize seed from width": "Seed von der Breite her ändern",
+    "Resize seed from height": " Seed von der Breite her ändern",
+    "Script": "Script",
+    "None": "Nichts",
+    "Prompt matrix": "Prompt matrix",
+    "Prompts from file or textbox": "Prompts von Datei oder Textbox",
+    "X/Y plot": "X/Y graph",
+    "Put variable parts at start of prompt": "Variable teile am start des Prompt setzen",
+    "Show Textbox": "Textbox Anzeigen",
+    "File with inputs": "Datei mit Inputwerten",
+    "Prompts": "Prompts",
+    "X type": "X typ",
+    "Nothing": "Nichts",
+    "Var. seed": "Var. seed",
+    "Var. strength": "Var. strength",
+    "Steps": "Steps",
+    "Prompt S/R": "Prompt S/R",
+    "Prompt order": "Prompt order",
+    "Sampler": "Sampler",
+    "Checkpoint name": "Checkpoint name",
+    "Hypernetwork": "Hypernetwork",
+    "Hypernet str.": "Hypernet str.",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma min": "Sigma min",
+    "Sigma max": "Sigma max",
+    "Sigma noise": "Sigma noise",
+    "Eta": "Eta",
+    "Clip skip": "Clip skip",
+    "Denoising": "Denoising",
+    "X values": "X values",
+    "Y type": "Y type",
+    "Y values": "Y values",
+    "Draw legend": "Legende zeichnen",
+    "Include Separate Images": "Seperate Bilder hinzufügen",
+    "Keep -1 for seeds": "-1 als Seed behalten",
+    "Drop Image Here": "Bild hier ablegen",
+    "Save": "Speichern",
+    "Send to img2img": "Senden an img2img",
+    "Send to inpaint": "Senden an inpaint",
+    "Send to extras": "Senden an extras",
+    "Make Zip when Save?": "Zip beim speichern erstellen?",
+    "Textbox": "Textbox",
+    "Interrogate\nCLIP": "CLIP\nAbfragen",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Batch img2img",
+    "Image for img2img": "Bild für img2img",
+    "Image for inpainting with mask": "Bild für inpainting mit maske",
+    "Mask": "Maske",
+    "Mask blur": "Masken Unschärfe",
+    "Mask mode": "Masken modus",
+    "Draw mask": "Maske zeichnen",
+    "Upload mask": "Maske Hochladen",
+    "Masking mode": "Modus zum Maskieren",
+    "Inpaint masked": "Inpaint maskiertes",
+    "Inpaint not masked": "Inpaint nicht maskiertes",
+    "Masked content": "Maskierter Inhalt",
+    "fill": "ausfüllen",
+    "original": "original",
+    "latent noise": "latent noise",
+    "latent nothing": "latent nothing",
+    "Inpaint at full resolution": "Inpaint mit voller Auflösung",
+    "Inpaint at full resolution padding, pixels": "Inpaint mit voller Auflösung Abstand, Pixels",
+    "Process images in a directory on the same machine where the server is running.": "Bilder in einem Verzeichnis auf demselben Rechner verarbeiten, auf dem der Server läuft.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Ein leeres Ausgabeverzeichnis verwenden, um Bilder normal zu speichern, anstatt in das Ausgabeverzeichnis zu schreiben.",
+    "Input directory": "Input Verzeichnis",
+    "Output directory": "Output verzeichnis",
+    "Resize mode": "Größe anpassen - Modus",
+    "Just resize": "Nur größe anpassen",
+    "Crop and resize": "Zuschneiden und größe anpassen",
+    "Resize and fill": "Größe anpassen und ausfüllen",
+    "img2img alternative test": "img2img alternative test",
+    "Loopback": "Loopback",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Poor man's outpainting",
+    "SD upscale": "SD upscale",
+    "should be 2 or lower.": "sollte 2 oder niedriger sein.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "`Sampling method` a Euler überschreiben? (diese methode is dafür ausgelegt)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "`prompt` zum gleichen wert wie `Originaler prompt` überschreiben? (und `Negativer prompt`)",
+    "Original prompt": "Originaler Prompt",
+    "Original negative prompt": "Originaler negativer prompt",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "`Sampling Steps` zum gleichen wert wie `Decode steps` überschreiben?",
+    "Decode steps": "Decode steps",
+    "Override `Denoising strength` to 1?": "`Denoising strength` zu 1 überschreiben?",
+    "Decode CFG scale": "Decode CFG scale",
+    "Randomness": "Zufälligkeit",
+    "Sigma adjustment for finding noise for image": "Sigma anpassungen um noise für Bilder zu finden.",
+    "Loops": "Loops",
+    "Denoising strength change factor": "Denoising strength change factor",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Empfohlene Einstellungen: Sampling Schritte: 80-100, Sampler Methode: Euler a, Denoising stärke: 0.8",
+    "Pixels to expand": "Anz. Pixel zum erweitern",
+    "Outpainting direction": "Outpainting Richtung",
+    "left": "Links",
+    "right": "Rechts",
+    "up": "Hoch",
+    "down": "Runter",
+    "Fall-off exponent (lower=higher detail)": "Fall-off exponent (weniger=mehr details)",
+    "Color variation": "Farb variationen",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Skaliert das Bild auf die doppelte Größe; Benutz die Schieberegler für Breite und Höhe, um die Kachelgröße einzustellen",
+    "Tile overlap": "Kacheln überlappungen",
+    "Upscaler": "Upscaler",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "SwinIR 4x": "SwinIR 4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "Single Image": "Ein Bild",
+    "Batch Process": "Massenverarbeitung",
+    "Batch from Directory": "Massenverarbeitung vom Verzeichnis",
+    "Source": "Quelle",
+    "Show result images": "Bildergebnisse zeigen",
+    "Scale by": "Skalieren von",
+    "Scale to": "Skalieren zu",
+    "Resize": "Größe anpassen",
+    "Crop to fit": "Zuschneiden damit es passt",
+    "Upscaler 2 visibility": "Upscaler 2 sichtbarkeit",
+    "GFPGAN visibility": "GFPGAN sichtbarkeit",
+    "CodeFormer visibility": "CodeFormer sichtbarkeit",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer gewicht (0 = maximaler effekt, 1 = minimalster effekt)",
+    "Open output directory": "Zielverzeichnis öffnen",
+    "Send to txt2img": "Senden an txt2img",
+    "A merger of the two checkpoints will be generated in your": "Die zusammgeführten Checkpoints werden gespeichert unter",
+    "checkpoint": "checkpoint",
+    "directory.": "Verzeichnis.",
+    "Primary model (A)": "Primäres Modell (A)",
+    "Secondary model (B)": "Sekundäres Modell (B)",
+    "Tertiary model (C)": "Tertiäres Modell (C)",
+    "Custom Name (Optional)": "Eigener Name (Optional)",
+    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - auf 0 setzen um Modell A zu bekommen",
+    "Interpolation Method": "Interpolationsmethode",
+    "Weighted sum": "Weighted sum",
+    "Add difference": "Add difference",
+    "Save as float16": "Speichern als float16",
+    "See": "Siehe ",
+    "wiki": "wiki ",
+    "for detailed explanation.": "für eine detailierte erklärung.",
+    "Create embedding": "Embedding erstellen",
+    "Create hypernetwork": "Hypernetwork erstellen",
+    "Preprocess images": "Bilder vorbereiten",
+    "Name": "Name",
+    "Initialization text": "Initialisierungstext",
+    "Number of vectors per token": "Anzahl der vektoren pro token",
+    "Overwrite Old Embedding": "Alte Embeddings überschreiben",
+    "Modules": "Module",
+    "Enter hypernetwork layer structure": "Hypernetwork-Schichtstruktur angeben",
+    "Select activation function of hypernetwork": "Aktivierungsfunktion des Hypernetwork auswählen",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "Add layer normalization": "Schicht normalisierung hinzufügen",
+    "Use dropout": "Dropout benutzen",
+    "Overwrite Old Hypernetwork": "Altes Hypernetwork überschreiben",
+    "Source directory": "Quellenverzeichnis",
+    "Destination directory": "Zielverzeichnis",
+    "Existing Caption txt Action": "Vorhandene Beschriftung der txt Aktion",
+    "ignore": "ignorieren",
+    "copy": "kopieren",
+    "prepend": "vorangestellt",
+    "append": "anhängen",
+    "Create flipped copies": "Gespiegelte Bilder erstellen",
+    "Split oversized images": "Übergroße Bilder aufteilen",
+    "Use BLIP for caption": "BLIP für Überschrift nutzen",
+    "Use deepbooru for caption": "Deepbooru für Überschrift nutzen",
+    "Split image threshold": "Bilder aufteilen Grenzwert",
+    "Split image overlap ratio": "Überschneidungsverhältnis beim Bilder aufteilen",
+    "Preprocess": "Vorbereiten",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Trainieren eines Embeddings oder ein Hypernetwork; Sie müssen ein Verzeichnis mit einem Satz von Bildern im Verhältnis 1:1 angeben",
+    "[wiki]": "[wiki]",
+    "Embedding": "Embedding",
+    "Embedding Learning rate": "Embedding Learning rate",
+    "Hypernetwork Learning rate": "Hypernetwork Learning rate",
+    "Dataset directory": "Dataset verzeichnis",
+    "Log directory": "Log verzeichnis",
+    "Prompt template file": "Vorlage Datei für Prompt",
+    "Max steps": "Max steps",
+    "Save an image to log directory every N steps, 0 to disable": "Alle N steps, ein Bild im Log Verzeichnis speichern, 0 zum deaktivieren",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Alle N steps, eine Kopie des Embedding im Log Verzeichnis speichern, 0 zum deaktivieren",
+    "Save images with embedding in PNG chunks": "Das Bild mit embedding in PNG Fragmente speichern",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Bei vorschau die Parameter (prompt, etc...) vom txt2img tab lesen",
+    "Train Hypernetwork": "Hypernetwork Trainieren",
+    "Train Embedding": "Embedding Trainieren",
+    "Apply settings": "Einstellungen anwenden",
+    "Saving images/grids": "Bilder/Raster speichern",
+    "Always save all generated images": "Grundsätzlich alle generieren Bilder speichern",
+    "File format for images": "Dateiformat für Bilder",
+    "Images filename pattern": "Dateinamen vorlage für Bilder",
+    "Add number to filename when saving": "Beim speichern, dem Dateinamen die Nummer anhängen",
+    "Always save all generated image grids": "Grundsätzlich alle generieren Raster speichern",
+    "File format for grids": "Dateiformat für Raster",
+    "Add extended info (seed, prompt) to filename when saving grid": "Speichern von Raster, erweiterte infos (seed, prompt) dem Dateinamen anhängen",
+    "Do not save grids consisting of one picture": "Raster, die nur aus einem Bild bestehen, nicht speichern",
+    "Prevent empty spots in grid (when set to autodetect)": "Lücken im Raster verhindern (falls aus autodetect gesetzt)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Raster reihen anzahl; -1 für Autodetect und 0 für die anzahl wie batch size",
+    "Save text information about generation parameters as chunks to png files": "Information zu Generierungsparameter als Fragmente in PNG dateien speichern",
+    "Create a text file next to every image with generation parameters.": "Textdatei mit Generierungsparameter seperat zu Bilddatei speichern",
+    "Save a copy of image before doing face restoration.": "Kope des Bildes vor und nach Gesichtswiederhestellung speichern",
+    "Quality for saved jpeg images": "Qualität der als JPEG gespeicherten Bilder",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Wenn PNG Bild größer als 4MB oder Dimensionen Größer als 4000, herunterskalieren und als JPG speichern.",
+    "Use original name for output filename during batch process in extras tab": "Originaler name als Output Dateinamen benutzen während Massenverarbeitung in Extras tab.",
+    "When using 'Save' button, only save a single selected image": "Beim benutzen von 'Speichern', nur das gewählte Bild speichern.",
+    "Do not add watermark to images": "Den Bildern kein Wasserzeichen hinzufügen",
+    "Paths for saving": "Pfade zum speichern",
+    "Output directory for images; if empty, defaults to three directories below": "Ausgabeverzeichnis für Bilder: wenn leer fällt zurück auf drei Verzeichnisse unterhalb",
+    "Output directory for txt2img images": "Ausgabeverzeichnis für txt2img",
+    "Output directory for img2img images": "Ausgabeverzeichnis für img2img",
+    "Output directory for images from extras tab": "Ausgabeverzeichnis für extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Ausgabeverzeichnis für Raster; wenn leer fällt zurück auf zwei Verzeichnisse unterhalb.",
+    "Output directory for txt2img grids": "Ausgabeverzeichnis für  txt2img Raster",
+    "Output directory for img2img grids": "Ausgabeverzeichnis für img2img Raster",
+    "Directory for saving images using the Save button": "Ausgabeverzeichnis Bilder für 'Speichern' Button",
+    "Saving to a directory": "Speichern in ein Verzeichnis",
+    "Save images to a subdirectory": "Bilder in ein Unterverzeichnis speichern",
+    "Save grids to a subdirectory": "Raster in ein Unterverzeichnis speichern",
+    "When using \"Save\" button, save images to a subdirectory": "Beim benutzen von 'Save' Button, Bilder in Unterverzeichnis speichern",
+    "Directory name pattern": "Verzeichnisname pattern",
+    "Max prompt words for [prompt_words] pattern": "Maximale anzahl der Wörter für [prompt_words] pattern",
+    "Upscaling": "Hochskalieren",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Kachelgröße für ESRGAN upscalers. 0 = keine Kacheln.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Kacheln überlappungen, größe in pixel für ESRGAN upscalers. Niedrige Zahl = Sichtbare übergänge.",
+    "Tile size for all SwinIR.": "Kachelgröße für alle SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Kacheln überlappungen, größe in pixel für SwinIR. Niedrige Zahl = Sichtbare übergänge.",
+    "LDSR processing steps. Lower = faster": "LDSR verarbeitungsschritte. niedriger = schneller",
+    "Upscaler for img2img": "Upscaler für img2img",
+    "Upscale latent space image when doing hires. fix": "Upscale latent space beim ausführen von hires. fix",
+    "Face restoration": "Gesichtswiederhestellung",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer gewicht parameter; 0 = maximaler effekt; 1 = minimalster effekt",
+    "Move face restoration model from VRAM into RAM after processing": "Gesichtswiederhestellungs-Modell nach Verarbeitung vom VRAM ins RAM verschieben",
+    "System": "System",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Abfragen pro Sekunde zur VRAM auslastung. 0 = deaktiviert",
+    "Always print all generation info to standard output": "Grundsätzlich alle Generierungsparameter im standard output ausgeben",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Zweite Fortschrittsleiste in der Konsole hinzufügen, die den Fortschitt für den ganzen Job anzeigt.",
+    "Training": "Training",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "VAE und CLIP während Hypernetwork-Training in RAM verschieben. Spart VRAM.",
+    "Filename word regex": "Filename word regex",
+    "Filename join string": "Filename join string",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Anzahl der wiederholungen für ein einziges Input-Bild pro epoche; nur dazu genutzt um epochen nummer anzuzeigen",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "CSV die den 'loss' alle N steps beinhaltet. 0 = deaktiviert",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Anz. Checkpoints im RAM zu Cachen",
+    "Hypernetwork strength": "Hypernetwork stärke",
+    "Apply color correction to img2img results to match original colors.": "Farbkorrigierungen auf img2img anwenden um den Original zu gleichen.",
+    "Save a copy of image before applying color correction to img2img results": "Eine Kopie vom Bild vor der anwendung der img2img Farbkorrigierungen speichern.",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Mit img2img, führe die exakte anzahl an steps aus, die im Slider angegeben sind. (Im Normalfall würdest du mit Denoising weniger nehmen)",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "ermöglicht die Quantisierung in K-Samplern für schärfere und sauberere Ergebnisse. Dadurch können sich existierende Seeds verändern. Für die Anwendung ist ein Neustart erforderlich.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Hervorhebung: Ermöglicht (text) damit das Modell dem Text (mehr) oder [weniger] gewichtung gibt.",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Verwendet die alte Implementierung von Hervorhebungen. Kann für das benutzen von älteren Seeds nützlich sein.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Sorgt dafür, dass K-Diffusions-Sampler in einem Batch die gleichen Bilder erzeugen wie bei der Erstellung eines einzelnen Bildes.",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Erhöhung der Kohärenz durch Auffüllen ab dem letzten Komma innerhalb von N Token, wenn mehr als 75 Token verwendet werden",
+    "Filter NSFW content": "Filter NSFW inhalte",
+    "Stop At last layers of CLIP model": "Stop bei den letzten Schichten des CLIP-Modells",
+    "Interrogate Options": "Optionen abfragen",
+    "Interrogate: keep models in VRAM": "Abfragen: Modelle im VRAM behalten",
+    "Interrogate: use artists from artists.csv": "Abfragen: Künstler aus artists.csv verwenden",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Abfragen: Rangfolge der Modell-Tags in den Ergebnissen berücksichtigen (hat keine Auswirkung auf beschriftungsbasierte Abfragesysteme).",
+    "Interrogate: num_beams for BLIP": "Abfragen: num_beams für BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Abfrage: Mindestlänge der Beschreibung (ohne Künstler usw.)",
+    "Interrogate: maximum description length": "Abfragen: maximale Länge der Beschreibung",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximale Anzahl von Zeilen in der Textdatei (0 = keine Begrenzung)",
+    "Interrogate: deepbooru score threshold": "Abfrage: deepbooru schwelle",
+    "Interrogate: deepbooru sort alphabetically": "Abfrage: deepbooru alphabetisch sortieren",
+    "use spaces for tags in deepbooru": "Leerzeichen für Tags in deepbooru verwenden",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "Escape-Klammern (\\) in deepbooru (damit sie als wörtliche Klammern und nicht zur Hervorhebung verwendet werden)",
+    "User interface": "Benutzerinterface",
+    "Show progressbar": "Fortschrittsleiste Anzeigen",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Zeigt den Fortschritt der Bilderstellung alle N Schritte an. 0 setzen, um zu deaktivieren.",
+    "Show previews of all images generated in a batch as a grid": "Vorschaubilder aller in einem Batch erzeugten Bilder als Raster anzeigen",
+    "Show grid in results for web": "Raster in den Ergebnissen für Web anzeigen",
+    "Do not show any images in results for web": "Keine Bilder in den Ergebnissen für das Web anzeigen",
+    "Add model hash to generation information": "Modell-Hash zu Generierungsinformationen hinzufügen",
+    "Add model name to generation information": "Modell-Name zu Generierungsinformationen hinzufügen",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Beim Einlesen von Generierungsparametern aus Text in die Benutzeroberfläche (aus PNG-Informationen oder eingefügtem Text) wird das ausgewählte Modell/der ausgewählte Checkpoint nicht geändert.",
+    "Font for image grids that have text": "Schriftart für Bildraster, die Text enthalten",
+    "Enable full page image viewer": "Ganzseitenbildbetrachter einschalten",
+    "Show images zoomed in by default in full page image viewer": "Bilder standardmäßig vergrößert im Ganzseitenbildbetrachter anzeigen",
+    "Show generation progress in window title.": "Generierungsfortschritt im Fenstertitel anzeigen.",
+    "Quicksettings list": "Quicksettings-Liste",
+    "Localization (requires restart)": "Lokalisierung (erfordert Neustart)",
+    "Sampler parameters": "Sampler parameter",
+    "Hide samplers in user interface (requires restart)": "Ausblenden von Samplern in der Benutzeroberfläche (erfordert einen Neustart)",
+    "eta (noise multiplier) for DDIM": "eta (noise multiplier) für DDIM",
+    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) für ancestral samplers",
+    "img2img DDIM discretize": "img2img DDIM discretize",
+    "uniform": "uniform",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "Eta noise seed delta",
+    "Request browser notifications": "Browser-Benachrichtigungen anfordern",
+    "Download localization template": "Vorlage für Lokalisierung herunterladen",
+    "Reload custom script bodies (No ui updates, No restart)": "Neu laden von benutzerdefinierten Skripten (keine Aktualisierung der Benutzeroberfläche, kein Neustart)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio neu starten und Komponenten aktualisieren (nur Custom Scripts, ui.py, js und css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (zum Erzeugen Strg+Eingabe oder Alt+Eingabe drücken)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (presiona Ctrl+Enter o Alt+Enter para generar)",
+    "Add a random artist to the prompt.": "Zufälligen Künstler den Prompt hinzufügen.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Import von Generierungsparameter aus dem Prompt oder aus der letzten Generierung, wenn das Prompt in der Benutzeroberfläche leer ist.",
+    "Save style": "Style speichern",
+    "Apply selected styles to current prompt": "Momentan ausgewählte styles auf den Prompt anwenden",
+    "Stop processing current image and continue processing.": "Verarbeitung des momentanen Bildes abbrechen und zum nächsten fortsetzen.",
+    "Stop processing images and return any results accumulated so far.": "Verarbeitung abbrechen und alle bisherigen Bilder ausgeben.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style, der angwendet werden soll. Styles haben sowohl negative als auch positive prompt anteile, die auf beide angewendet werden.",
+    "Do not do anything special": "Nichts besonderes machen",
+    "Which algorithm to use to produce the image": "Der zu benutzende algorithmus für die Bildgeneration",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - sehr kreativ, jeder kann unterschiedliche Bilder, abhängig von der Step/Schritt anzahl bekommen. Werte höher als 30-40 helfen nicht.",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - am besten für img2img inpainting",
+    "Produce an image that can be tiled.": "Bild erzeugen, dass gekachelt werden kann.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Verwendung eines zweistufigen Prozess, um ein Bild teilweise mit geringerer Auflösung zu erstellen, hochzuskalieren und dann die Details zu verbessern, ohne die zusammensetzung zu verändern.",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Bestimmt, wie wenig Bezug der Algorithmus zu dem Inhalt des Bildes haben soll. Bei 0 ändert sich nichts, und bei 1 erhalten Sie ein Bild ohne Bezug. Bei Werten unter 1,0 erfolgt die Verarbeitung in weniger Schritten, als der Schieberegler Sampling-Schritte angibt.",
+    "How many batches of images to create": "Wie viele Stapel von Bildern erstellt werden sollen",
+    "How many image to create in a single batch": "Wie viele Bilder in einem einzigen Stapel erstellt werden sollen",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - wie stark das Bild der Aufforderung entsprechen soll - niedrigere Werte führen zu kreativeren Ergebnissen",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Ein Wert, der die Ausgabe des Zufallszahlengenerators bestimmt: Wenn Sie ein Bild mit denselben Parametern und demselben Seed wie ein anderes Bild erstellen, erhalten Sie dasselbe Ergebnis.",
+    "Set seed to -1, which will cause a new random number to be used every time": "Seed auf -1 setzen, so dass jedes Mal eine neue Zufallszahl verwendet wird",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Wiederverwendung des Seed der letzten Generation, meist nützlich, wenn es zufällig gewählt wurde",
+    "Seed of a different picture to be mixed into the generation.": "Seed eines anderen Bildes, das bei der Erzeugung reingemischt wird.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Wie stark die Veränderung sein soll. Bei 0 gibt es keinen Effekt. Bei 1 erhalten Sie das vollständige Bild mit variations Seed (außer bei ancestral samplers,wie Euler A, wo Sie nur etwas erhalten).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Versuchen ein Bild zu erzeugen, das dem ähnelt, das mit demselben Seed bei der angegebenen Auflösung erzeugt worden wäre.",
+    "Separate values for X axis using commas.": "Trennen Sie die Werte für die X-Achse durch Kommas.",
+    "Separate values for Y axis using commas.": "Trennen Sie die Werte für die Y-Achse durch Kommas.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Bild in ein Verzeichnis schreiben (Standard - log/images) und Generierungsparameter in eine csv-Datei.",
+    "Open images output directory": "Bildverzeichnis öffnen",
+    "How much to blur the mask before processing, in pixels.": "Wie stark die Maske vor der Verarbeitung verwischt werden soll, in Pixeln.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Was soll in den maskierten Bereich vor der Verarbeitung mit Stable Diffusion.",
+    "fill it with colors of the image": "Füllen mit den Farben des Bildes",
+    "keep whatever was there originally": "Originalen Inhalt behalten",
+    "fill it with latent space noise": "Füllen mit latent space noise",
+    "fill it with latent space zeroes": "Füllen mit latent space zeroes",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Hochskalieren des maskierten Bereichs auf die Zielauflösung, Inpainting, Zurückskalieren und Einfügen in das Originalbild.",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Die Größe des Bildes auf die gewünschte Auflösung ändern. Wenn Höhe und Breite nicht übereinstimmen, erhalten Sie ein falsches Seitenverhältnis.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Die Größe des Bildes so ändern, dass die gesamte Zielauflösung mit dem Bild ausgefüllt wird. Herausragende Teile zuschneiden.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Die Größe des Bildes so ändern, dass die gesamte Zielauflösung mit dem Bild ausgefüllt wird. Herausragende Teile mit Farben des Bildes ausfüllen.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Wie oft soll die Verarbeitung eines Bildes wiederholt werden, um es als Eingabe für die nächste Iteration zu verwenden",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Im Loopback-Modus wird die Stärke der Rauschunterdrückung in jeder Schleife mit diesem Wert multipliziert. <1 bedeutet abnehmende Vielfalt, so dass Ihre Sequenz zu einem festen Bild konvergiert. >1 bedeutet zunehmende Vielfalt, so dass die Sequenz immer chaotischer wird..",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Wie viel Pixel sollten sich beim SD-Upscale zwischen den Kacheln überlappen? Die Kacheln überlappen sich so, dass beim Zusammenfügen zu einem Bild keine deutlich sichtbare Naht entsteht..",
+    "A directory on the same machine where the server is running.": "Ein Verzeichnis auf demselben Rechner, auf dem der Server läuft.",
+    "Leave blank to save images to the default path.": "Leer lassen, um Bilder im Standardpfad zu speichern.",
+    "Result = A * (1 - M) + B * M": "Ergebnis = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Ergebnis = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "Erste und letzte Ziffer muss 1 sein. Bspw:'1, 2, 1'",
+    "Path to directory with input images": "Pfad zum Verzeichnis mit den Eingabebildern",
+    "Path to directory where to write outputs": "Pfad zum Verzeichnis, in das die Ausgaben geschrieben werden sollen",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Verwenden Sie die folgenden Tags, um festzulegen, wie die Dateinamen für Bilder ausgewählt werden: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leer lassen, um Standardwerte zu verwenden.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Wenn diese Option aktiviert ist, wird den erstellten Bildern kein unsichtbares Wasserzeichen hinzugefügt. Achtung: Wenn Sie kein Wasserzeichen hinzufügen, verhalten Sie sich möglicherweise unethisch gegenüber sensiblen Personen.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Verwenden Sie die folgenden Tags, um festzulegen, wie Unterverzeichnisse für Bilder und Raster ausgewählt werden: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leer lassen, um Standardwerte zu verwenden.",
+    "Restore low quality faces using GFPGAN neural network": "Wiederherstellung von Gesichtern schlechter Qualität mit GFPGAN neural network",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Dieser reguläre Ausdruck wird verwendet, um Wörter aus dem Dateinamen zu extrahieren, die dann mit der unten stehenden Option zu einem Beschriftungstext für das Training zusammengefügt werden. Leer lassen, um den Text des Dateinamens so zu belassen, wie er ist.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Diese Zeichenfolge wird verwendet, um getrennte Wörter in einer einzigen Zeile zu verbinden, wenn die obige Option aktiviert ist.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Liste von Einstellungsnamen, getrennt durch Kommata, für Einstellungen, die in der Schnellzugriffsleiste oben erscheinen sollen, anstatt auf dem üblichen Einstellungs-Tab. Siehe modules/shared.py für Einstellungsnamen. Erfordert einen Neustart zur Anwendung.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Wenn dieser Wert ungleich Null ist, wird er zum Seed addiert und zur Initialisierung des RNG für Rauschen bei der Verwendung von Samplern mit Eta verwendet. Sie können dies verwenden, um noch mehr Variationen von Bildern zu erzeugen, oder Sie können dies verwenden, um Bilder von anderer Software abzugleichen, wenn Sie wissen, was Sie tun."
+}

From 4a4647e0dfc812783db7fa993d486b031f098ef8 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Thu, 27 Oct 2022 13:36:11 +0800
Subject: [PATCH 227/321] create send to buttons in one module

---
 javascript/ui.js                           |  24 +-
 modules/generation_parameters_copypaste.py |  86 +++++-
 modules/shared.py                          |   1 +
 modules/ui.py                              | 344 ++++++---------------
 webui-user.bat                             |   2 +-
 5 files changed, 187 insertions(+), 270 deletions(-)

diff --git a/javascript/ui.js b/javascript/ui.js
index cfd0dcd3..7e116465 100644
--- a/javascript/ui.js
+++ b/javascript/ui.js
@@ -45,14 +45,14 @@ function switch_to_txt2img(){
     return args_to_array(arguments);
 }
 
-function switch_to_img2img_img2img(){
+function switch_to_img2img(){
     gradioApp().querySelector('#tabs').querySelectorAll('button')[1].click();
     gradioApp().getElementById('mode_img2img').querySelectorAll('button')[0].click();
 
     return args_to_array(arguments);
 }
 
-function switch_to_img2img_inpaint(){
+function switch_to_inpaint(){
     gradioApp().querySelector('#tabs').querySelectorAll('button')[1].click();
     gradioApp().getElementById('mode_img2img').querySelectorAll('button')[1].click();
 
@@ -65,26 +65,6 @@ function switch_to_extras(){
     return args_to_array(arguments);
 }
 
-function extract_image_from_gallery_txt2img(gallery){
-    switch_to_txt2img()
-    return extract_image_from_gallery(gallery);
-}
-
-function extract_image_from_gallery_img2img(gallery){
-    switch_to_img2img_img2img()
-    return extract_image_from_gallery(gallery);
-}
-
-function extract_image_from_gallery_inpaint(gallery){
-    switch_to_img2img_inpaint()
-    return extract_image_from_gallery(gallery);
-}
-
-function extract_image_from_gallery_extras(gallery){
-    switch_to_extras()
-    return extract_image_from_gallery(gallery);
-}
-
 function get_tab_index(tabId){
     var res = 0
 
diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index f73647da..2b80737a 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -3,13 +3,16 @@ import re
 import gradio as gr
 from modules.shared import script_path
 from modules import shared
+import tempfile
+from PIL import Image, PngImagePlugin
 
 re_param_code = r'\s*([\w ]+):\s*("(?:\\|\"|[^\"])+"|[^,]*)(?:,|$)'
 re_param = re.compile(re_param_code)
 re_params = re.compile(r"^(?:" + re_param_code + "){3,}$")
 re_imagesize = re.compile(r"^(\d+)x(\d+)$")
 type_of_gr_update = type(gr.update())
-
+paste_fields = {}
+bind_list = []
 
 def quote(text):
     if ',' not in str(text):
@@ -20,6 +23,81 @@ def quote(text):
     text = text.replace('"', '\\"')
     return f'"{text}"'
 
+def image_from_url_text(filedata):
+    if type(filedata) == dict and filedata["is_file"]:
+        filename = filedata["name"]
+        tempdir = os.path.normpath(tempfile.gettempdir())
+        normfn = os.path.normpath(filename)
+        assert normfn.startswith(tempdir), 'trying to open image file not in temporary directory'
+
+        return Image.open(filename)
+
+    if type(filedata) == list:
+        if len(filedata) == 0:
+            return None
+
+        filedata = filedata[0]
+
+    if filedata.startswith("data:image/png;base64,"):
+        filedata = filedata[len("data:image/png;base64,"):]
+
+    filedata = base64.decodebytes(filedata.encode('utf-8'))
+    image = Image.open(io.BytesIO(filedata))
+    return image
+
+def add_paste_fields(tabname, init_img, fields):
+    paste_fields[tabname] = {"init_img":init_img, "fields": fields}
+
+def create_buttons(tabs_list):
+    buttons = {}
+    for tab in tabs_list:
+        buttons[tab] = gr.Button(f"Send to {tab}")
+    return buttons
+
+#if send_generate_info is a tab name, mean generate_info comes from the params fields of the tab 
+def bind_buttons(buttons, send_image, send_generate_info):
+    bind_list.append([buttons, send_image, send_generate_info])
+
+def run_bind():
+    for buttons, send_image, send_generate_info in bind_list:
+        for tab in buttons:
+            button = buttons[tab]
+            if send_image and paste_fields[tab]["init_img"]:
+                if type(send_image) == gr.Gallery:
+                    button.click(
+                        fn=lambda x: image_from_url_text(x),
+                        _js="extract_image_from_gallery",
+                        inputs=[send_image],
+                        outputs=[paste_fields[tab]["init_img"]],
+                    )
+                else:
+                    button.click(
+                        fn=lambda x:x,
+                        inputs=[send_image],
+                        outputs=[paste_fields[tab]["init_img"]],
+                    )
+            
+            if send_generate_info and paste_fields[tab]["fields"] is not None:
+                paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration', 'Size-1', 'Size-2']
+                if shared.opts.send_seed:
+                    paste_field_names += ["Seed"]
+                if send_generate_info in paste_fields:                    
+                    button.click(
+                        fn=lambda *x:x,
+                        inputs=[field for field,name in paste_fields[send_generate_info]["fields"] if name in paste_field_names],
+                        outputs=[field for field,name in paste_fields[tab]["fields"] if name in paste_field_names],
+                    )
+
+                else:
+                    connect_paste(button, [(field, name) for field, name in paste_fields[tab]["fields"]  if name in paste_field_names], send_generate_info)
+
+            button.click(
+                fn=None,
+                _js=f"switch_to_{tab}",
+                inputs=None,
+                outputs=None,
+            )
+
 def parse_generation_parameters(x: str):
     """parses generation parameters string, the one you see in text field under the picture in UI:
 ```
@@ -67,8 +145,7 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
 
     return res
 
-
-def connect_paste(button, paste_fields, input_comp, js=None):
+def connect_paste(button, paste_fields, input_comp):
     def paste_func(prompt):
         if not prompt and not shared.cmd_opts.hide_ui_dir_config:
             filename = os.path.join(script_path, "params.txt")
@@ -106,7 +183,8 @@ def connect_paste(button, paste_fields, input_comp, js=None):
 
     button.click(
         fn=paste_func,
-        _js=js,
         inputs=[input_comp],
         outputs=[x[0] for x in paste_fields],
     )
+
+
diff --git a/modules/shared.py b/modules/shared.py
index f8b13b06..3ade2afa 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -279,6 +279,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "filter_nsfw": OptionInfo(False, "Filter NSFW content"),
     'CLIP_stop_at_last_layers': OptionInfo(1, "Stop At last layers of CLIP model", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
     "random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
+    "send_seed": OptionInfo(False, "Send seed when sending prompt or image to other interface"),
 }))
 
 options_templates.update(options_section(('interrogate', "Interrogate Options"), {
diff --git a/modules/ui.py b/modules/ui.py
index 3e5b84d2..ccba14b6 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -35,7 +35,7 @@ if cmd_opts.deepdanbooru:
     from modules.deepbooru import get_deepbooru_tags
 
 import modules.codeformer_model
-import modules.generation_parameters_copypaste
+import modules.generation_parameters_copypaste as parameters_copypaste
 import modules.gfpgan_model
 import modules.hypernetworks.ui
 import modules.ldsr_model
@@ -49,14 +49,11 @@ from modules.sd_hijack import model_hijack
 from modules.sd_samplers import samplers, samplers_for_img2img
 import modules.textual_inversion.ui
 import modules.hypernetworks.ui
+from modules.generation_parameters_copypaste import image_from_url_text
 
 # this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the browser will not show any UI
 mimetypes.init()
 mimetypes.add_type('application/javascript', '.js')
-txt2img_paste_fields = []
-img2img_paste_fields = []
-init_img_components = {}
-
 
 if not cmd_opts.share and not cmd_opts.listen:
     # fix gradio phoning home
@@ -99,37 +96,11 @@ def plaintext_to_html(text):
     text = "<p>" + "<br>\n".join([f"{html.escape(x)}" for x in text.split('\n')]) + "</p>"
     return text
 
-
-def image_from_url_text(filedata):
-    if type(filedata) == dict and filedata["is_file"]:
-        filename = filedata["name"]
-        tempdir = os.path.normpath(tempfile.gettempdir())
-        normfn = os.path.normpath(filename)
-        assert normfn.startswith(tempdir), 'trying to open image file not in temporary directory'
-
-        return Image.open(filename)
-
-    if type(filedata) == list:
-        if len(filedata) == 0:
-            return None
-
-        filedata = filedata[0]
-
-    if filedata.startswith("data:image/png;base64,"):
-        filedata = filedata[len("data:image/png;base64,"):]
-
-    filedata = base64.decodebytes(filedata.encode('utf-8'))
-    image = Image.open(io.BytesIO(filedata))
-    return image
-
-
 def send_gradio_gallery_to_image(x):
     if len(x) == 0:
         return None
-
     return image_from_url_text(x[0])
 
-
 def save_files(js_data, images, do_make_zip, index):
     import csv
     filenames = []
@@ -193,7 +164,6 @@ def save_files(js_data, images, do_make_zip, index):
 
     return gr.File.update(value=fullfns, visible=True), '', '', plaintext_to_html(f"Saved: {filenames[0]}")
 
-
 def save_pil_to_file(pil_image, dir=None):
     use_metadata = False
     metadata = PngImagePlugin.PngInfo()
@@ -626,6 +596,83 @@ def create_refresh_button(refresh_component, refresh_method, refreshed_args, ele
     )
     return refresh_button
 
+def create_output_panel(tabname, outdir):    
+    def open_folder(f):
+        if not os.path.exists(f):
+            print(f'Folder "{f}" does not exist. After you create an image, the folder will be created.')
+            return
+        elif not os.path.isdir(f):
+            print(f"""
+WARNING
+An open_folder request was made with an argument that is not a folder.
+This could be an error or a malicious attempt to run code on your computer.
+Requested path was: {f}
+""", file=sys.stderr)
+            return
+
+        if not shared.cmd_opts.hide_ui_dir_config:
+            path = os.path.normpath(f)
+            if platform.system() == "Windows":
+                os.startfile(path)
+            elif platform.system() == "Darwin":
+                sp.Popen(["open", path])
+            else:
+                sp.Popen(["xdg-open", path])
+    
+    with gr.Column(variant='panel'):        
+            with gr.Group():                
+                result_gallery = gr.Gallery(label='Output', show_label=False, elem_id=f"{tabname}_gallery").style(grid=4)
+               
+            generation_info = None
+            with gr.Column():
+                with gr.Row():
+                    if tabname != "extras":
+                        save = gr.Button('Save')
+
+                    buttons = parameters_copypaste.create_buttons(["img2img", "inpaint", "extras"])
+                    button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
+                    open_folder = gr.Button(folder_symbol, elem_id=button_id)
+
+                open_folder.click(
+                    fn=lambda: open_folder(opts.outdir_samples or outdir),
+                    inputs=[],
+                    outputs=[],
+                )
+
+                if tabname != "extras":           
+                    with gr.Row():
+                        do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
+
+                    with gr.Row():
+                        download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
+
+                    with gr.Group():
+                        html_info = gr.HTML()
+                        generation_info = gr.Textbox(visible=False)
+
+                        save.click(
+                            fn=wrap_gradio_call(save_files),
+                            _js="(x, y, z, w) => [x, y, z, selected_gallery_index()]",
+                            inputs=[
+                                generation_info,
+                                result_gallery,
+                                do_make_zip,
+                                html_info,
+                            ],
+                            outputs=[
+                                download_files,
+                                html_info,
+                                html_info,
+                                html_info,
+                            ]
+                        )
+                else:
+                    html_info_x = gr.HTML()
+                    html_info = gr.HTML()
+                parameters_copypaste.bind_buttons(buttons, result_gallery, "txt2img" if tabname == "txt2img" else None)
+                return result_gallery, generation_info if tabname != "extras" else html_info_x, html_info
+                    
+            
 
 def create_ui(wrap_gradio_gpu_call):
     import modules.img2img
@@ -676,31 +723,10 @@ def create_ui(wrap_gradio_gpu_call):
                 with gr.Group():
                     custom_inputs = modules.scripts.scripts_txt2img.setup_ui(is_img2img=False)
 
-            with gr.Column(variant='panel'):
-
-                with gr.Group():
-                    txt2img_preview = gr.Image(elem_id='txt2img_preview', visible=False)
-                    txt2img_gallery = gr.Gallery(label='Output', show_label=False, elem_id='txt2img_gallery').style(grid=4)
-
-                with gr.Column():
-                    with gr.Row():
-                        save = gr.Button('Save')
-                        send_to_img2img = gr.Button('Send to img2img')
-                        send_to_inpaint = gr.Button('Send to inpaint')
-                        send_to_extras = gr.Button('Send to extras')
-                        button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
-                        open_txt2img_folder = gr.Button(folder_symbol, elem_id=button_id)
-
-                    with gr.Row():
-                        do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
-
-                    with gr.Row():
-                        download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
-
-                    with gr.Group():
-                        html_info = gr.HTML()
-                        generation_info = gr.Textbox(visible=False)
+     
 
+            txt2img_gallery, generation_info, html_info = create_output_panel("txt2img", opts.outdir_txt2img_samples)  
+                
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
 
@@ -755,24 +781,7 @@ def create_ui(wrap_gradio_gpu_call):
                 fn=lambda x: gr_show(x),
                 inputs=[enable_hr],
                 outputs=[hr_options],
-            )
-
-            save.click(
-                fn=wrap_gradio_call(save_files),
-                _js="(x, y, z, w) => [x, y, z, selected_gallery_index()]",
-                inputs=[
-                    generation_info,
-                    txt2img_gallery,
-                    do_make_zip,
-                    html_info,
-                ],
-                outputs=[
-                    download_files,
-                    html_info,
-                    html_info,
-                    html_info,
-                ]
-            )
+            )            
 
             roll.click(
                 fn=roll_artist,
@@ -785,8 +794,7 @@ def create_ui(wrap_gradio_gpu_call):
                 ]
             )
 
-            global txt2img_paste_fields 
-            txt2img_paste_fields = [
+            parameters_copypaste.add_paste_fields("txt2img", None, [
                 (txt2img_prompt, "Prompt"),
                 (txt2img_negative_prompt, "Negative prompt"),
                 (steps, "Steps"),
@@ -807,7 +815,7 @@ def create_ui(wrap_gradio_gpu_call):
                 (firstphase_width, "First pass size-1"),
                 (firstphase_height, "First pass size-2"),
                 *modules.scripts.scripts_txt2img.infotext_fields
-            ]
+            ])
 
             txt2img_preview_params = [
                 txt2img_prompt,
@@ -894,30 +902,7 @@ def create_ui(wrap_gradio_gpu_call):
                 with gr.Group():
                     custom_inputs = modules.scripts.scripts_img2img.setup_ui(is_img2img=True)
 
-            with gr.Column(variant='panel'):
-
-                with gr.Group():
-                    img2img_preview = gr.Image(elem_id='img2img_preview', visible=False)
-                    img2img_gallery = gr.Gallery(label='Output', show_label=False, elem_id='img2img_gallery').style(grid=4)
-
-                with gr.Column():
-                    with gr.Row():
-                        save = gr.Button('Save')
-                        img2img_send_to_img2img = gr.Button('Send to img2img')
-                        img2img_send_to_inpaint = gr.Button('Send to inpaint')
-                        img2img_send_to_extras = gr.Button('Send to extras')
-                        button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
-                        open_img2img_folder = gr.Button(folder_symbol, elem_id=button_id)
-
-                    with gr.Row():
-                        do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
-
-                    with gr.Row():
-                        download_files = gr.File(None, file_count="multiple", interactive=False, show_label=False, visible=False)
-
-                    with gr.Group():
-                        html_info = gr.HTML()
-                        generation_info = gr.Textbox(visible=False)
+            img2img_gallery, generation_info, html_info = create_output_panel("img2img", opts.outdir_img2img_samples)                 
 
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
@@ -1004,24 +989,8 @@ def create_ui(wrap_gradio_gpu_call):
                     fn=interrogate_deepbooru,
                     inputs=[init_img],
                     outputs=[img2img_prompt],
-                )
-
-            save.click(
-                fn=wrap_gradio_call(save_files),
-                _js="(x, y, z, w) => [x, y, z, selected_gallery_index()]",
-                inputs=[
-                    generation_info,
-                    img2img_gallery,
-                    do_make_zip,
-                    html_info,
-                ],
-                outputs=[
-                    download_files,
-                    html_info,
-                    html_info,
-                    html_info,
-                ]
             )
+           
 
             roll.click(
                 fn=roll_artist,
@@ -1056,7 +1025,8 @@ def create_ui(wrap_gradio_gpu_call):
                     outputs=[prompt, negative_prompt, style1, style2],
                 )
 
-            global img2img_paste_fields
+            token_button.click(fn=update_token_counter, inputs=[img2img_prompt, steps], outputs=[token_counter])
+
             img2img_paste_fields = [
                 (img2img_prompt, "Prompt"),
                 (img2img_negative_prompt, "Negative prompt"),
@@ -1075,7 +1045,9 @@ def create_ui(wrap_gradio_gpu_call):
                 (denoising_strength, "Denoising strength"),
                 *modules.scripts.scripts_img2img.infotext_fields
             ]
-            token_button.click(fn=update_token_counter, inputs=[img2img_prompt, steps], outputs=[token_counter])
+            parameters_copypaste.add_paste_fields("img2img", init_img, img2img_paste_fields) 
+            parameters_copypaste.add_paste_fields("inpaint", init_img_with_mask, img2img_paste_fields)
+
 
     with gr.Blocks(analytics_enabled=False) as extras_interface:
         with gr.Row().style(equal_height=False):
@@ -1122,15 +1094,8 @@ def create_ui(wrap_gradio_gpu_call):
 
                 submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
 
-            with gr.Column(variant='panel'):
-                result_images = gr.Gallery(label="Result", show_label=False)
-                html_info_x = gr.HTML()
-                html_info = gr.HTML()
-                extras_send_to_img2img = gr.Button('Send to img2img')
-                extras_send_to_inpaint = gr.Button('Send to inpaint')
-                button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else ''
-                open_extras_folder = gr.Button('Open output directory', elem_id=button_id)
 
+            result_images, html_info_x, html_info = create_output_panel("extras", opts.outdir_extras_samples)
 
         submit.click(
             fn=wrap_gradio_gpu_call(modules.extras.run_extras),
@@ -1160,23 +1125,8 @@ def create_ui(wrap_gradio_gpu_call):
                 html_info,
             ]
         )
+        parameters_copypaste.add_paste_fields("extras", extras_image, None) 
 
-        extras_send_to_img2img.click(
-            fn=lambda x: image_from_url_text(x),
-            _js="extract_image_from_gallery_img2img",
-            inputs=[result_images],
-            outputs=[init_img],
-        )
-
-        extras_send_to_inpaint.click(
-            fn=lambda x: image_from_url_text(x),
-            _js="extract_image_from_gallery_inpaint",
-            inputs=[result_images],
-            outputs=[init_img_with_mask],
-        )
-
-    global  init_img_components
-    init_img_components = {"img2img":init_img, "inpaint":init_img_with_mask, "extras":extras_image}
 
     with gr.Blocks(analytics_enabled=False) as pnginfo_interface:
         with gr.Row().style(equal_height=False):
@@ -1187,11 +1137,10 @@ def create_ui(wrap_gradio_gpu_call):
                 html = gr.HTML()
                 generation_info = gr.Textbox(visible=False)
                 html2 = gr.HTML()
-
                 with gr.Row():
-                    pnginfo_send_to_txt2img = gr.Button('Send to txt2img')
-                    pnginfo_send_to_img2img = gr.Button('Send to img2img')
-
+                    buttons = parameters_copypaste.create_buttons(["txt2img", "img2img", "inpaint", "extras"])
+                parameters_copypaste.bind_buttons(buttons, image, generation_info)                
+                
         image.change(
             fn=wrap_gradio_call(modules.extras.run_pnginfo),
             inputs=[image],
@@ -1475,28 +1424,6 @@ def create_ui(wrap_gradio_gpu_call):
     script_callbacks.ui_settings_callback()
     opts.reorder()
 
-    def open_folder(f):
-        if not os.path.exists(f):
-            print(f'Folder "{f}" does not exist. After you create an image, the folder will be created.')
-            return
-        elif not os.path.isdir(f):
-            print(f"""
-WARNING
-An open_folder request was made with an argument that is not a folder.
-This could be an error or a malicious attempt to run code on your computer.
-Requested path was: {f}
-""", file=sys.stderr)
-            return
-
-        if not shared.cmd_opts.hide_ui_dir_config:
-            path = os.path.normpath(f)
-            if platform.system() == "Windows":
-                os.startfile(path)
-            elif platform.system() == "Darwin":
-                sp.Popen(["open", path])
-            else:
-                sp.Popen(["xdg-open", path])
-
     def run_settings(*args):
         changed = 0
 
@@ -1641,6 +1568,8 @@ Requested path was: {f}
         if column is not None:
             column.__exit__()
 
+        parameters_copypaste.run_bind()
+
     interfaces = [
         (txt2img_interface, "txt2img", "txt2img"),
         (img2img_interface, "img2img", "img2img"),
@@ -1731,85 +1660,14 @@ Requested path was: {f}
                 component_dict['sd_model_checkpoint'],
             ]
         )
-        paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration', 'Seed', 'Size-1', 'Size-2']
-        txt2img_fields = [field for field,name in txt2img_paste_fields if name in paste_field_names]
-        img2img_fields = [field for field,name in img2img_paste_fields if name in paste_field_names]
-        send_to_img2img.click(
-            fn=lambda img, *args: (image_from_url_text(img),*args),
-            _js="(gallery, ...args) => [extract_image_from_gallery_img2img(gallery), ...args]",
-            inputs=[txt2img_gallery] + txt2img_fields,
-            outputs=[init_img] + img2img_fields,
-        )
-
-        send_to_inpaint.click(
-            fn=lambda x, *args: (image_from_url_text(x), *args),
-            _js="(gallery, ...args) => [extract_image_from_gallery_inpaint(gallery), ...args]",
-            inputs=[txt2img_gallery] + txt2img_fields,
-            outputs=[init_img_with_mask] + img2img_fields,
-        )
-
-        img2img_send_to_img2img.click(
-            fn=lambda x: image_from_url_text(x),
-            _js="extract_image_from_gallery_img2img",
-            inputs=[img2img_gallery],
-            outputs=[init_img],
-        )
-
-        img2img_send_to_inpaint.click(
-            fn=lambda x: image_from_url_text(x),
-            _js="extract_image_from_gallery_inpaint",
-            inputs=[img2img_gallery],
-            outputs=[init_img_with_mask],
-        )
-
-        send_to_extras.click(
-            fn=lambda x: image_from_url_text(x),
-            _js="extract_image_from_gallery_extras",
-            inputs=[txt2img_gallery],
-            outputs=[extras_image],
-        )
-
-        open_txt2img_folder.click(
-            fn=lambda: open_folder(opts.outdir_samples or opts.outdir_txt2img_samples),
-            inputs=[],
-            outputs=[],
-        )
-
-        open_img2img_folder.click(
-            fn=lambda: open_folder(opts.outdir_samples or opts.outdir_img2img_samples),
-            inputs=[],
-            outputs=[],
-        )
-
-        open_extras_folder.click(
-            fn=lambda: open_folder(opts.outdir_samples or opts.outdir_extras_samples),
-            inputs=[],
-            outputs=[],
-        )
-
-        img2img_send_to_extras.click(
-            fn=lambda x: image_from_url_text(x),
-            _js="extract_image_from_gallery_extras",
-            inputs=[img2img_gallery],
-            outputs=[extras_image],
-        )
+ 
 
         settings_map = {
             'sd_hypernetwork': 'Hypernet',
             'CLIP_stop_at_last_layers': 'Clip skip',
             'sd_model_checkpoint': 'Model hash',
         }
-
-        settings_paste_fields = [
-            (component_dict[k], lambda d, k=k, v=v: apply_setting(k, d.get(v, None)))
-            for k, v in settings_map.items()
-        ]
-
-        modules.generation_parameters_copypaste.connect_paste(txt2img_paste, txt2img_paste_fields + settings_paste_fields, txt2img_prompt)
-        modules.generation_parameters_copypaste.connect_paste(img2img_paste, img2img_paste_fields + settings_paste_fields, img2img_prompt)
-
-        modules.generation_parameters_copypaste.connect_paste(pnginfo_send_to_txt2img, txt2img_paste_fields + settings_paste_fields, generation_info, 'switch_to_txt2img')
-        modules.generation_parameters_copypaste.connect_paste(pnginfo_send_to_img2img, img2img_paste_fields + settings_paste_fields, generation_info, 'switch_to_img2img_img2img')
+       
 
     ui_config_file = cmd_opts.ui_config_file
     ui_settings = {}
diff --git a/webui-user.bat b/webui-user.bat
index e5a257be..fcd0f1fb 100644
--- a/webui-user.bat
+++ b/webui-user.bat
@@ -3,6 +3,6 @@
 set PYTHON=
 set GIT=
 set VENV_DIR=
-set COMMANDLINE_ARGS=
+set COMMANDLINE_ARGS=--ui-debug-mode
 
 call webui.bat

From 300e5774e76e959e0f99deee071d4564e156917c Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Thu, 27 Oct 2022 13:42:20 +0800
Subject: [PATCH 228/321] create send to buttons in one module

---
 .gitignore | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.gitignore b/.gitignore
index 70660c51..26be36b3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,4 +29,6 @@ notification.mp3
 /textual_inversion
 .vscode
 /extensions
+/webui-user.bat
+/webui-user.sh
 

From ed0821de2114fe2fccbb8dabb72f4ed73e6289ca Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Thu, 27 Oct 2022 13:43:16 +0800
Subject: [PATCH 229/321] create send to buttons in one module

---
 webui-user.bat | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/webui-user.bat b/webui-user.bat
index fcd0f1fb..e5a257be 100644
--- a/webui-user.bat
+++ b/webui-user.bat
@@ -3,6 +3,6 @@
 set PYTHON=
 set GIT=
 set VENV_DIR=
-set COMMANDLINE_ARGS=--ui-debug-mode
+set COMMANDLINE_ARGS=
 
 call webui.bat

From 462e6ba6675bd14c0f82e465423a0eedfff82372 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Thu, 27 Oct 2022 15:40:24 +0900
Subject: [PATCH 230/321] Disable unavailable or duplicate options

---
 modules/hypernetworks/ui.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py
index 2c6c0470..c2d4b51c 100644
--- a/modules/hypernetworks/ui.py
+++ b/modules/hypernetworks/ui.py
@@ -8,7 +8,8 @@ import modules.textual_inversion.textual_inversion
 from modules import devices, sd_hijack, shared
 from modules.hypernetworks import hypernetwork
 
-keys = list(hypernetwork.HypernetworkModule.activation_dict.keys())
+not_available = ["hardswish", "multiheadattention"]
+keys = list(x for x in hypernetwork.HypernetworkModule.activation_dict.keys() if x not in not_available)
 
 def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
     # Remove illegal characters from name.

From e0cbf53f451f45ea73dafab654eb6596cbd67ec2 Mon Sep 17 00:00:00 2001
From: yfszzx <yfszzx@gmail.com>
Date: Thu, 27 Oct 2022 18:00:51 +0800
Subject: [PATCH 231/321] create send to buttons by extensions

---
 modules/ui.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/modules/ui.py b/modules/ui.py
index ccba14b6..922a2163 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1568,7 +1568,8 @@ def create_ui(wrap_gradio_gpu_call):
         if column is not None:
             column.__exit__()
 
-        parameters_copypaste.run_bind()
+
+        
 
     interfaces = [
         (txt2img_interface, "txt2img", "txt2img"),
@@ -1581,7 +1582,7 @@ def create_ui(wrap_gradio_gpu_call):
 
     interfaces += script_callbacks.ui_tabs_callback()
 
-    interfaces += [(settings_interface, "Settings", "settings")]
+    interfaces += [(settings_interface, "Settings", "settings")]       
 
     css = ""
 
@@ -1667,7 +1668,8 @@ def create_ui(wrap_gradio_gpu_call):
             'CLIP_stop_at_last_layers': 'Clip skip',
             'sd_model_checkpoint': 'Model hash',
         }
-       
+
+        parameters_copypaste.run_bind()       
 
     ui_config_file = cmd_opts.ui_config_file
     ui_settings = {}

From 035b875e1a3ce4a925aaba3dd55baea21e765e7f Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 20:14:51 +0900
Subject: [PATCH 232/321] Edit CODEOWNERS for ko_KR.json permissions

---
 CODEOWNERS | 1 +
 1 file changed, 1 insertion(+)

diff --git a/CODEOWNERS b/CODEOWNERS
index 935fedcf..fa7b93c7 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1 +1,2 @@
 *       @AUTOMATIC1111
+localizations/ko_KR.json @36DB
\ No newline at end of file

From 9b50d9bbbfa61828c318373d5a7f0a6c1f3e273c Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 20:16:51 +0900
Subject: [PATCH 233/321] Update CODEOWNERS file

---
 CODEOWNERS | 1 +
 1 file changed, 1 insertion(+)

diff --git a/CODEOWNERS b/CODEOWNERS
index fa7b93c7..19e49bf5 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1,2 +1,3 @@
 *       @AUTOMATIC1111
+[Localization]
 localizations/ko_KR.json @36DB
\ No newline at end of file

From 6a0eebfbee40c4c120c480ca229357cd3a9e69f3 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 20:21:15 +0900
Subject: [PATCH 234/321] Update 2 cause I'm an idiot

---
 CODEOWNERS | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/CODEOWNERS b/CODEOWNERS
index 19e49bf5..d42e6412 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1,3 +1,4 @@
 *       @AUTOMATIC1111
+
 [Localization]
-localizations/ko_KR.json @36DB
\ No newline at end of file
+/localizations/*   @36DB
\ No newline at end of file

From 34c953381192a2c0167fc1385f91b57b18a603c1 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 20:23:33 +0900
Subject: [PATCH 235/321] Apparently brackets don't work, gitlab docs fooled me

---
 CODEOWNERS | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/CODEOWNERS b/CODEOWNERS
index d42e6412..12e87aae 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1,4 +1,3 @@
 *       @AUTOMATIC1111
 
-[Localization]
-/localizations/*   @36DB
\ No newline at end of file
+/localizations/ko_KR.json   @36DB
\ No newline at end of file

From e64ccd18e111fcc284efe681a88c3ebafdd4c563 Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Thu, 27 Oct 2022 14:50:55 +0300
Subject: [PATCH 236/321] Add minor edits to Arabic localization

---
 localizations/ar_AR.json | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index 7864ac03..271ebb87 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -252,7 +252,7 @@
   "Focal point face weight": "تمركز الوجوه",
   "Focal point entropy weight": "تمركز التنوع",
   "Focal point edges weight": "تمركز الحواف",
-  "Create debug image": "أنتج صورة كمثال",
+  "Create debug image": "احفظ نتائج التحليل أيضا",
   "Use BLIP for caption": "استخدم BLIP لتوصيف الصور",
   "Use deepbooru for caption": "استخدم deepbooru لتوصيف الصور",
   "Preprocess": "معالجة مسبقة",
@@ -267,8 +267,8 @@
   "Path to directory where to write outputs": "مسار مجلد الصور المخرجة",
   "Prompt template file": "ملف صيغ الطلبات",
   "Max steps": "أقصى عدد لخطوات التدريب",
-  "Save an image to log directory every N steps, 0 to disable": "احفظ صورة في السجل بعد كل كم خطوة تدريب (لا تحفظ إذا كان 0)",
-  "Save a copy of embedding to log directory every N steps, 0 to disable": "احفظ التضمين في السجل بعد كل كم خطوة تدريب (لا تحفظ إذا كان 0)",
+  "Save an image to log directory every N steps, 0 to disable": "احفظ صورة في السجل بعد كل كم خطوة تدريب (إذا 0 لا تحفظ)",
+  "Save a copy of embedding to log directory every N steps, 0 to disable": "احفظ التضمين في السجل بعد كل كم خطوة تدريب (إذا 0 لا تحفظ)",
   "Save images with embedding in PNG chunks": "احفظ التضمين بداخل ملف الصورة كعامل يمكن استخراجه من عوامل الصورة (صيغة PNG)",
   "Read parameters (prompt, etc...) from txt2img tab when making previews": "استخدم قيم العوامل الموجودة في تبويب نص إلى صورة لعرض نتائجهم أثناء التدريب",
   "Train Hypernetwork": "درّب الشبكة الفائقة",
@@ -357,7 +357,7 @@
   "Filename join string": "النص الفاصل للكلمات المدموجة",
   "This string will be used to join split words into a single line if the option above is enabled.": "سيستخدم بين كل كلمة يتم استخراجها من الخيار السابق",
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "عدد مرات تكرار الصور في كل دورة (Epoch)، يستخدم للعرض فقط",
-  "Save an csv containing the loss to log directory every N steps, 0 to disable": "احفظ خسارة التدريب (Loss) في السجل بعد كل كم خطوة (لا تحفظ إذا كان 0)",
+  "Save an csv containing the loss to log directory every N steps, 0 to disable": "احفظ خسارة التدريب (Loss) في السجل بعد كل كم خطوة (إذا 0 لا تحفظ)",
   "Stable Diffusion": "نموذج الإنتشار المستقر (Stable Diffusion)",
   "Checkpoints to cache in RAM": "عدد النماذج التي تترك في الذاكرة العشوائية (RAM)",
   "Hypernetwork strength": "قوة الشبكة الفائقة",
@@ -386,7 +386,7 @@
   "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "تجاهل الأقواس عند استخدام deepbooru (كي لا تعامل كأقواس التشديد)",
   "User interface": "واجهة المستخدم",
   "Show progressbar": "اظهر شريط التقدم",
-  "Show image creation progress every N sampling steps. Set 0 to disable.": "اعرض صورة بعد كل كم خطوة (لا تعرض إذا كان 0)",
+  "Show image creation progress every N sampling steps. Set 0 to disable.": "اعرض صورة بعد كل كم خطوة (إذا 0 لا تعرض)",
   "Show previews of all images generated in a batch as a grid": "اعرض كل الصور التي تم إنتاجها في حزمة كجدول",
   "Show grid in results for web": "أظهر نتائج جداول الصور",
   "Do not show any images in results for web": "لا تظهر نتائج الصور",
@@ -420,5 +420,5 @@
   "Request browser notifications": "اطلب تنبيهات المتصفح",
   "Download localization template": "حمل ملف اللغة",
   "Reload custom script bodies (No ui updates, No restart)": "أعد تحميل الأدوات الخاصة (بدون واجهة المستخدم ولا يحتاج إعادة تشغيل)",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تشغيل gradio والأدوات الخاصة وواجهة المستخدم فقط"
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تشغيل gradio وتحميل الأدوات الخاصة وواجهة المستخدم"
 }
\ No newline at end of file

From 6e10078b2be8e690b5f85619b335e1dcd4fa8a3f Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 22:21:56 +0900
Subject: [PATCH 237/321] Attention editing with hotkeys should work with KR
 now

Added the word "Prompt" in the placeholders to pass the check from edit-attention.js
---
 localizations/webui.bat | 62 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)
 create mode 100644 localizations/webui.bat

diff --git a/localizations/webui.bat b/localizations/webui.bat
new file mode 100644
index 00000000..a38a28bb
--- /dev/null
+++ b/localizations/webui.bat
@@ -0,0 +1,62 @@
+@echo off
+
+if not defined PYTHON (set PYTHON=python)
+if not defined VENV_DIR (set VENV_DIR=venv)
+
+set ERROR_REPORTING=FALSE
+
+mkdir tmp 2>NUL
+
+%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :start_venv
+echo Couldn't launch python
+goto :show_stdout_stderr
+
+:start_venv
+if [%VENV_DIR%] == [-] goto :skip_venv
+
+dir %VENV_DIR%\Scripts\Python.exe >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+
+for /f "delims=" %%i in ('CALL %PYTHON% -c "import sys; print(sys.executable)"') do set PYTHON_FULLNAME="%%i"
+echo Creating venv in directory %VENV_DIR% using python %PYTHON_FULLNAME%
+%PYTHON_FULLNAME% -m venv %VENV_DIR% >tmp/stdout.txt 2>tmp/stderr.txt
+if %ERRORLEVEL% == 0 goto :activate_venv
+echo Unable to create venv in directory %VENV_DIR%
+goto :show_stdout_stderr
+
+:activate_venv
+set PYTHON="%~dp0%VENV_DIR%\Scripts\Python.exe"
+echo venv %PYTHON%
+goto :launch
+
+:skip_venv
+
+:launch
+%PYTHON% launch.py %*
+pause
+exit /b
+
+:show_stdout_stderr
+
+echo.
+echo exit code: %errorlevel%
+
+for /f %%i in ("tmp\stdout.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stdout:
+type tmp\stdout.txt
+
+:show_stderr
+for /f %%i in ("tmp\stderr.txt") do set size=%%~zi
+if %size% equ 0 goto :show_stderr
+echo.
+echo stderr:
+type tmp\stderr.txt
+
+:endofscript
+
+echo.
+echo Launch unsuccessful. Exiting.
+pause

From 9358a421cfa2ccd866825d8022f93a12268e7dc3 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 22:24:05 +0900
Subject: [PATCH 238/321] Remove files that shouldn't be here

---
 localizations/webui.bat | 62 -----------------------------------------
 1 file changed, 62 deletions(-)
 delete mode 100644 localizations/webui.bat

diff --git a/localizations/webui.bat b/localizations/webui.bat
deleted file mode 100644
index a38a28bb..00000000
--- a/localizations/webui.bat
+++ /dev/null
@@ -1,62 +0,0 @@
-@echo off
-
-if not defined PYTHON (set PYTHON=python)
-if not defined VENV_DIR (set VENV_DIR=venv)
-
-set ERROR_REPORTING=FALSE
-
-mkdir tmp 2>NUL
-
-%PYTHON% -c "" >tmp/stdout.txt 2>tmp/stderr.txt
-if %ERRORLEVEL% == 0 goto :start_venv
-echo Couldn't launch python
-goto :show_stdout_stderr
-
-:start_venv
-if [%VENV_DIR%] == [-] goto :skip_venv
-
-dir %VENV_DIR%\Scripts\Python.exe >tmp/stdout.txt 2>tmp/stderr.txt
-if %ERRORLEVEL% == 0 goto :activate_venv
-
-for /f "delims=" %%i in ('CALL %PYTHON% -c "import sys; print(sys.executable)"') do set PYTHON_FULLNAME="%%i"
-echo Creating venv in directory %VENV_DIR% using python %PYTHON_FULLNAME%
-%PYTHON_FULLNAME% -m venv %VENV_DIR% >tmp/stdout.txt 2>tmp/stderr.txt
-if %ERRORLEVEL% == 0 goto :activate_venv
-echo Unable to create venv in directory %VENV_DIR%
-goto :show_stdout_stderr
-
-:activate_venv
-set PYTHON="%~dp0%VENV_DIR%\Scripts\Python.exe"
-echo venv %PYTHON%
-goto :launch
-
-:skip_venv
-
-:launch
-%PYTHON% launch.py %*
-pause
-exit /b
-
-:show_stdout_stderr
-
-echo.
-echo exit code: %errorlevel%
-
-for /f %%i in ("tmp\stdout.txt") do set size=%%~zi
-if %size% equ 0 goto :show_stderr
-echo.
-echo stdout:
-type tmp\stdout.txt
-
-:show_stderr
-for /f %%i in ("tmp\stderr.txt") do set size=%%~zi
-if %size% equ 0 goto :show_stderr
-echo.
-echo stderr:
-type tmp\stderr.txt
-
-:endofscript
-
-echo.
-echo Launch unsuccessful. Exiting.
-pause

From a668444110743cd163474ec563b0e69025dea3d2 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Thu, 27 Oct 2022 22:24:29 +0900
Subject: [PATCH 239/321] Attention editing hotkey fix part 2

---
 localizations/ko_KR.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 803b7fb9..3d631066 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -263,7 +263,7 @@
   "Multiplier (M) - set to 0 to get model A": "배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
   "Name": "이름",
   "Negative prompt": "네거티브 프롬프트",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "네거티브 프롬프트(Prompt) 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
   "Next batch": "다음 묶음",
   "Next Page": "다음 페이지",
   "None": "없음",
@@ -321,7 +321,7 @@
   "Process images in a directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리의 이미지들을 처리합니다.",
   "Produce an image that can be tiled.": "타일링 가능한 이미지를 생성합니다.",
   "Prompt": "프롬프트",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
+  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "프롬프트(Prompt) 입력(Ctrl+Enter나 Alt+Enter로 생성 시작)",
   "Prompt matrix": "프롬프트 매트릭스",
   "Prompt order": "프롬프트 순서",
   "Prompt S/R": "프롬프트 스타일 변경",

From 3d38416352cb715406d6a5b76462bbd6de9f7e0d Mon Sep 17 00:00:00 2001
From: Martucci <73501718+M-art-ucci@users.noreply.github.com>
Date: Thu, 27 Oct 2022 10:25:54 -0300
Subject: [PATCH 240/321] =?UTF-8?q?Mais=20ajustes=20de=20tradu=C3=A7=C3=A3?=
 =?UTF-8?q?o?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 localizations/pt_BR.json | 193 +++++++++++++++++++--------------------
 1 file changed, 96 insertions(+), 97 deletions(-)

diff --git a/localizations/pt_BR.json b/localizations/pt_BR.json
index a2a9be72..487432ae 100644
--- a/localizations/pt_BR.json
+++ b/localizations/pt_BR.json
@@ -8,30 +8,29 @@
     "view": "Visualizar",
     "api": "api",
     "•": "•",
-    "built with gradio": "montado com gradio",
+    "built with gradio": "Criado com gradio",
     "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
     "txt2img": "txt2img",
     "img2img": "img2img",
     "Extras": "Extras",
-    "PNG Info": "PNG Info",
-    "History": "Histórico",
-    "Checkpoint Merger": "Checkpoint Merger",
+    "PNG Info": "Informações dePNG",
+    "Checkpoint Merger": "Junção de Checkpoint",
     "Train": "Treinar",
     "Settings": "configurações",
     "Prompt": "Prompt",
     "Negative prompt": "Prompt negativo",
-    "Run": "Rodar",
+    "Run": "Executar",
     "Skip": "Pular",
     "Interrupt": "Interromper",
     "Generate": "Gerar",
     "Style 1": "Estilo 1",
     "Style 2": "Estilo 2",
-    "Label": "Etiqueta",
+    "Label": "Rótulo",
     "File": "Arquivo",
-    "Drop File Here": "Arraste aqui o arquivo",
+    "Drop File Here": "Coloque aqui o arquivo",
     "-": "-",
     "or": "ou",
-    "Click to Upload": "Clique para subir",
+    "Click to Upload": "Clique para carregar um arquivo",
     "Image": "Imagem",
     "Check progress": "Checar progresso",
     "Check progress (first)": "Checar progresso (primeiro)",
@@ -55,51 +54,52 @@
     "Restore faces": "Refinar rosto",
     "Tiling": "Estilo azulejo",
     "Highres. fix": "Ajuste de alta resolução",
-    "Firstpass width": "Largura Firstpass",
-    "Firstpass height": "Altura Firstpass",
-    "Denoising strength": "Força do Denoise",
+    "Firstpass width": "Passagem inicial de Largura",
+    "Firstpass height": "Passagem inicial de Altura",
+    "Denoising strength": "Quantidade de Denoise",
     "Batch count": "Quantidade por leva",
     "Batch size": "Quantidade de levas",
     "CFG Scale": "Escala CFG",
     "Seed": "Seed",
     "Extra": "Extra",
     "Variation seed": "Variação de seed",
-    "Variation strength": "Forca da variação",
-    "Resize seed from width": "Ajustar seed a partir da largura",
-    "Resize seed from height": "Ajustar seed a partir da altura",
+    "Variation strength": "Força da variação",
+    "Resize seed from width": "Ajustar o tamanho da seed a partir da largura",
+    "Resize seed from height": "Ajustar o tamanho daseed a partir da altura",
     "Script": "Script",
     "None": "Nenhum",
     "Prompt matrix": "Matriz de Prompt",
-    "Prompts from file or textbox": "Prompts de arquivo ou caixa de texto",
+    "Prompts from file or textbox": "Prompts a partir de arquivo ou caixa de texto",
     "X/Y plot": "X/Y plot",
     "Put variable parts at start of prompt": "Colocar partes variáveis no começo do prompt",
 	"Iterate seed every line": "Iterar seed em todas as linhas",
     "List of prompt inputs": "Lista de textos para prompt",
-    "Upload prompt inputs": "Subir textos para prompts",
-    "X type": "X type",
-    "Nothing": "Nada",
+    "Upload prompt inputs": "Carregar textos para prompts",
+    "X type": "Tipo do X",
+    "Nothing": "Nenhum",
     "Var. seed": "Var. seed",
     "Var. strength": "Var. da força",
     "Steps": "Steps",
     "Prompt S/R": "Prompt S/R",
     "Prompt order": "Ordem de Prompt",
     "Sampler": "Sampler",
-    "Checkpoint name": "Nome do intervalo",
+    "Checkpoint name": "Nome do Checkpoint",
     "Hypernetwork": "Hypernetwork",
-    "Hypernet str.": "Hypernet str.",
+    "Hypernet str.": "Força da Hypernet",
     "Sigma Churn": "Sigma Churn",
     "Sigma min": "Sigma min",
     "Sigma max": "Sigma max",
     "Sigma noise": "Sigma noise",
-    "Eta": "Eta",
-    "Clip skip": "Clip skip",
+    "Eta": "Tempo estimado",
+    "Clip skip": "Pular Clip",
     "Denoising": "Denoising",
-    "X values": "X values",
-    "Y type": "Y type",
-    "Y values": "Y values",
-    "Draw legend": "Draw legend",
+    "X values": "Valores de X",
+    "Y type": "Tipos de Y",
+    "Y values": "Valores de Y",
+    "Draw legend": "Desenhar a legenda",
     "Include Separate Images": "Incluir Imagens Separadas",
     "Keep -1 for seeds": "Manter em -1 para seeds",
+    "Drop Image Here": "Arraste a imagem aqui",
     "Save": "Salvar",
     "Send to img2img": "Mandar para img2img",
     "Send to inpaint": "Mandar para inpaint",
@@ -113,46 +113,46 @@
     "Drop Image Here": "Arrastar imagem para cá",
     "Image for inpainting with mask": "Imagem para inpainting com máscara",
     "Mask": "Mascara",
-    "Mask blur": "Borda da máscara",
+    "Mask blur": "Desfoque da máscara",
     "Mask mode": "Modo de máscara",
     "Draw mask": "Desenhar máscara",
-    "Upload mask": "Subir máscara",
+    "Upload mask": "Carregar máscara",
     "Masking mode": "Tipo de máscara",
-    "Inpaint masked": "Inpaint o que esta dentro da máscara",
-    "Inpaint not masked": "Inpaint o que esta fora da máscara",
+    "Inpaint masked": "Inpaint o que está dentro da máscara",
+    "Inpaint not masked": "Inpaint o que está fora da máscara",
     "Masked content": "Conteúdo da máscara",
     "fill": "preencher",
     "original": "original",
     "latent noise": "latent noise",
     "latent nothing": "latent nothing",
-    "Inpaint at full resolution": "Inpaint em resolução máxima",
-    "Inpaint at full resolution padding, pixels": "Inpaint em resolução máxima de padding, pixels",
+    "Inpaint at full resolution": "Inpaint em resolução total",
+    "Inpaint at full resolution padding, pixels": "Inpaint de preenchimento em resolução total, pixels",
     "Process images in a directory on the same machine where the server is running.": "Processar imagens no diretório da mesma maquina onde o servidor está rodando.",
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usar um diretório vazio para salvar imagens, ao invés de salvá-las no diretório output.",
     "Input directory": "Diretório de Input",
     "Output directory": "Diretório de Output",
-    "Resize mode": "Modo de aumento",
-    "Just resize": "Apenas aumentar",
-    "Crop and resize": "Cortar e aumentar",
-    "Resize and fill": "Aumentar e preencher",
+    "Resize mode": "Modo de ajuste de tamanho",
+    "Just resize": "Apenas ajustar",
+    "Crop and resize": "Cortar e ajustar",
+    "Resize and fill": "Ajustar e preencher",
     "img2img alternative test": "Teste alternativo de img2img",
     "Loopback": "Loopback",
     "Outpainting mk2": "Outpainting mk2",
     "Poor man's outpainting": "Poor man's outpainting",
-    "SD upscale": "Aumento SD",
-    "should be 2 or lower.": "precisa ser 2 ou menor.",
-    "Override `Sampling method` to Euler?(this method is built for it)": "Sobrepor 'sampling method' para Euler? (esse método foi feito para isso)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Sobrepor 'prompt' para o mesmo valor que o 'prompt original'? (também para o 'prompt negativo')",
-    "Original prompt": "Prompt Original",
-    "Original negative prompt": "Prompt Negativo Original",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Sobrepor 'Sampling Steps' para o mesmo valor que 'Decode steps'?",
+    "SD upscale": "Ajuste SD",
+    "should be 2 or lower.": "precisa ser 2 ou menos.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Substituir 'sampling method' para Euler? (esse método foi feito para isso)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Substituir 'prompt' para o mesmo valor que o 'prompt original'? (também para o 'prompt negativo')",
+    "Original prompt": "Prompt original",
+    "Original negative prompt": "Prompt negativo original",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Substituir 'Sampling Steps' para o mesmo valor que 'Decode steps'?",
     "Decode steps": "Decode steps",
-    "Override `Denoising strength` to 1?": "Sobrepor 'Forca do Denoise' para 1?",
+    "Override `Denoising strength` to 1?": "Substituir 'Quantidade do Denoise' para 1?",
     "Decode CFG scale": "Escala CFG de Decode",
     "Randomness": "Aleatoriedade",
     "Sigma adjustment for finding noise for image": "Ajuste Sigma para encontrar ruído para imagem",
     "Loops": "Loops",
-    "Denoising strength change factor": "Fator de mudança na força do Denoise",
+    "Denoising strength change factor": "Fator de mudança na quantidade do Denoise",
     "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Configurações recomendadas",
     "Pixels to expand": "Pixels para expandir",
     "Outpainting direction": "Direção do Outpainting",
@@ -160,17 +160,23 @@
     "right": "direita",
     "up": "cima",
     "down": "baixo",
-    "Fall-off exponent (lower=higher detail)": "Exponente Fall-off exponent (menor=mais detalhes)",
+    "Fall-off exponent (lower=higher detail)": "Exponente de queda (menor=mais detalhes)",
     "Color variation": "Variação de cor",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Aumenta a imagem para duas vezes as dimensoes; ajuste a largura e altura para definir o tamanho do azulejo",
-    "Tile overlap": "sobreposicao de azulejo",
-    "Upscaler": "Ferramenta de aumento",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Aumenta a imagem para duas vezes as dimensoes; ajust a largura e altura para definir o tamanho do azulejo",
+    "Tile overlap": "substituição de azulejo",
+    "Upscaler": "Ferramenta de ajuste de aumento",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
-    "ESRGAN_4x": "ESRGAN_4x",
-    "ScuNET GAN": "ScuNET GAN",
+    "4x_foolhardy_Remacri": "4x_foolhardy_Remacri",
+    "Put ESRGAN models here": "Coloque modelos ESRGAN aqui",
+    "R-ESRGAN General 4xV3": "R-ESRGAN General 4xV3",
+    "R-ESRGAN AnimeVideo": "R-ESRGAN AnimeVideo",
+    "R-ESRGAN 4x+": "R-ESRGAN 4x+",
+    "R-ESRGAN 4x+ Anime6B": "R-ESRGAN 4x+ Anime6B",
+    "R-ESRGAN 2x+": "R-ESRGAN 2x+",
+    "ScuNET": "ScuNET",
     "ScuNET PSNR": "ScuNET PSNR",
-    "SwinIR 4x": "SwinIR 4x",
+    "put_swinir_models_here": "put_swinir_models_here",
     "Single Image": "Imagem Única",
     "Batch Process": "Processo em Levas",
     "Batch from Directory": "Levas a partir de diretório",
@@ -186,19 +192,19 @@
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso do CodeFormer (0 = efeito máximo, 1 = efeito mínimo)",
     "Open output directory": "Abrir diretorio de output",
     "Send to txt2img": "Mandar para txt2img",
-    "A merger of the two checkpoints will be generated in your": "Uma combinação de dois intervalos vai ser gerado em",
-    "checkpoint": "intervalo",
+    "A merger of the two checkpoints will be generated in your": "Uma combinação de dois checkpoints vai ser gerada em",
+    "checkpoint": "checkpoint",
     "directory.": "diretório.",
-    "Primary model (A)": "Modelo Primário (A)",
-    "Secondary model (B)": "Modelo Secundário (B)",
-    "Tertiary model (C)": "Modelo Terciário (C)",
-    "Custom Name (Optional)": "Nome Personalizado (Opcional)",
+    "Primary model (A)": "Modelo primário (A)",
+    "Secondary model (B)": "Modelo secundário (B)",
+    "Tertiary model (C)": "Modelo terciário (C)",
+    "Custom Name (Optional)": "Nome personalizado (Opcional)",
     "Multiplier (M) - set to 0 to get model A": "Multiplicador (M) - definir em 0 para obter o modelo A",
     "Interpolation Method": "Método de Interpolação",
     "Weighted sum": "Soma de weights",
     "Add difference": "Acrescentar diferença",
     "Save as float16": "Salvar como float16",
-    "See": "Veja",
+    "See": "Ver",
     "wiki": "wiki",
     "for detailed explanation.": "para explicações detalhadas.",
     "Create embedding": "Criar embedding",
@@ -207,9 +213,9 @@
     "Name": "Nome",
     "Initialization text": "Texto de Inicialização",
     "Number of vectors per token": "Número de vetores por token",
-    "Overwrite Old Embedding": "Sobrescrever Embedding Anterior",
+    "Overwrite Old Embedding": "Substituir Embedding anterior",
     "Modules": "Módulos",
-    "Enter hypernetwork layer structure": "Inserir camada estrutural de hypernetwork",
+    "Enter hypernetwork layer structure": "Inserir na camada estrutural de hypernetwork",
     "Select activation function of hypernetwork": "Selecionar a função de ativação de hypernetwork",
     "relu": "relu",
     "leakyrelu": "leakyrelu",
@@ -241,14 +247,14 @@
     "softsign": "softsign",
     "tanhshrink": "tanhshrink",
     "threshold": "threshold",
-    "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Selecionar a inicialização de weiths de camada. relu-like - Kaiming, sigmoid-like - Xavier é recomendado",
+    "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Selecionar a inicialização de pesos de camada. relu-like - Kaiming, sigmoid-like - Xavier é recomendado",
     "Normal": "Normal",
     "KaimingUniform": "KaimingUniform",
     "KaimingNormal": "KaimingNormal",
     "XavierUniform": "XavierUniform",
     "XavierNormal": "XavierNormal",
-    "Add layer normalization": "Adicionar camada de normalização",
-    "Use dropout": "Sobrescrever Hypernetwork Anterior",
+    "Add layer normalization": "Adicionar normalização de camada",
+    "Use dropout": "Usar dropout",
     "Overwrite Old Hypernetwork": "Sobrescrever Hypernetwork Anterior",
     "Source directory": "Diretório de origem",
     "Destination directory": "Diretório de destino",
@@ -262,17 +268,17 @@
     "Auto focal point crop": "Ajuste de corte em ponto focal automático",
     "Use BLIP for caption": "Usar BLIP para legenda",
     "Use deepbooru for caption": "Usar deepbooru para legenda",
-    "Split image threshold": "Limite de separação de imagem",
-    "Split image overlap ratio": "Proporção de sobreposição da separação de imagem",
-    "Focal point face weight": "Weight de ponto focal para rosto",
-    "Focal point entropy weight": "Weight de ponto focal para entropia",
-    "Focal point edges weight": "Weight de ponto focal para bordas",
+    "Split image threshold": "Limite de divisão de imagem",
+    "Split image overlap ratio": "Proporção de sobreposição da divisão de imagem",
+    "Focal point face weight": "Peso de ponto focal para rosto",
+    "Focal point entropy weight": "Peso de ponto focal para entropia",
+    "Focal point edges weight": "Peso de ponto focal para bordas",
     "Create debug image": "Criar imagem de depuração",
     "Preprocess": "Pré-processar",
     "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Treinar um embedding; precisa especificar um diretório com imagens de proporção 1:1",
     "[wiki]": "[wiki]",
     "Embedding": "Embedding",
-    "Learning rate": "Taxa de aprendizagem",
+    "Embedding Learning rate": "Taxa de aprendizagem do embedding",
     "Hypernetwork Learning rate": "Taxa de treinamento de Hypernetwork",
     "Dataset directory": "Diretório de Dataset",
     "Log directory": "Diretório de Log",
@@ -296,7 +302,6 @@
     "Do not save grids consisting of one picture": "Não salvar grades de apenas uma imagem",
     "Prevent empty spots in grid (when set to autodetect)": "Previnir pontos vazios na grade (quando marcado para autodetectar)",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Contagem de colunas da grade; -1 para autodetectar e 0 para ser igual ao valor do tamanho das levas",
-    "-1": "-1",
     "Save text information about generation parameters as chunks to png files": "Salvar informações de parâmetros de geração como blocos png",
     "Create a text file next to every image with generation parameters.": "Criar um arquivo de texto com informações de geração junto a cada imagem gerada.",
     "Save a copy of image before doing face restoration.": "Salva uma cópia de cada imagem antes do refinamento facial.",
@@ -317,8 +322,8 @@
     "Saving to a directory": "Salvando para um diretório",
     "Save images to a subdirectory": "Salvar imagens para um subdiretório",
     "Save grids to a subdirectory": "Salvar grades de imagens para um subdiretório",
-    "When using \"Save\" button, save images to a subdirectory": "Quando usar o botão \"Salvar\", sasalvar imagens para um subdiretório",
-    "Directory name pattern": "Padrão de nomeacao de diretório",
+    "When using \"Save\" button, save images to a subdirectory": "Quando usar o botão \"Salvar\", salvar imagens para um subdiretório",
+    "Directory name pattern": "Padrão de nomeação de diretório",
     "Max prompt words for [prompt_words] pattern": "Número máximo de palavras do padrão de prompt [prompt_words]",
     "Upscaling": "Aumentando",
     "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamanho do azulejo para ferramenta de aumento ESRGAN. 0 = sem azulejo.",
@@ -329,20 +334,20 @@
     "Upscaler for img2img": "Ferramenta de aumento para img2img",
     "Upscale latent space image when doing hires. fix": "Aumento em imagem latent space quando usando a resolução de alta definição - hires. fix",
     "Face restoration": "Refinamento de rosto",
-    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Paramento de CodeFormer weight; 0 = efeito máximo; 1 = efeito mínimo",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Paramento de peso do CodeFormer; 0 = efeito máximo; 1 = efeito mínimo",
     "Move face restoration model from VRAM into RAM after processing": "Mover o processo de refinamento de rosto da VRAM da placa de vídeo para a RAM do computador depois do processamento.",
     "System": "System",
     "VRAM usage polls per second during generation. Set to 0 to disable.": "Uso de VRAM por segundo durante gerações. Deixar em 0 para desativar.",
     "Always print all generation info to standard output": "Sempre mostrar as informações de todas as gerações no padrão de output",
     "Add a second progress bar to the console that shows progress for an entire job.": "Adicionar uma segunda barra de processamento no console que mostra a progressão de todo o trabalho.",
-    "Training": "Treinando",
-    "Unload VAE and CLIP from VRAM when training": "Desativar VAE e CLIP da VRAM quando treinando",
+    "Training": "Treinamento",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Mover VAE e CLIP para a RAM quando treinando hypernetwork. Preserva VRAM.",
     "Filename word regex": "Palavra de nome de arquivo regex",
     "Filename join string": "Nome de arquivo join string",
-    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repetições para input único de imagens por epoch; serve apenas para mostrar o número de epoch",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repetições para input único de imagens por época; serve apenas para mostrar o número de época",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "Salvar um csv com as perdas para o diretório de log a cada N steps, 0 para desativar",
     "Stable Diffusion": "Stable Diffusion",
-    "Checkpoints to cache in RAM": "Intervalos para manter na RAM",
+    "Checkpoints to cache in RAM": "Checkpoints para manter no cache da RAM",
     "Hypernetwork strength": "Força da Hypernetwork",
     "Apply color correction to img2img results to match original colors.": "Aplicar correção de cor nas imagens geradas em img2img, usando a imagem original como base. Recomendação: se marcar essa opção, marcar também a de baixo",
     "Save a copy of image before applying color correction to img2img results": "Salvar uma cópia das imagens geradas em img2img antes de aplicar a correção de cor",
@@ -352,17 +357,17 @@
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usar método anterior de implementação de ênfase. Útil para reproduzir seeds antigas.",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "Faz os samplers K-diffusion produzirem imagens iguais em levas quando criando uma única imagem",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta a coerência por padding da última vírgula dentro de n tokens quando usar mais de 75 tokens",
-    "Filter NSFW content": "Filtrar conteúdo NSFW",
-    "Stop At last layers of CLIP model": "Para na última cada do CLIP model",
-    "Interrogate Options": "Opções de Interrogaçõ",
+    "Filter NSFW content": "Filtra conteúdos polêmicos (violência, nudez etc)",
+    "Stop At last layers of CLIP model": "Para na última camada do modelo CLIP",
+    "Interrogate Options": "Opções de Interrogação",
     "Interrogate: keep models in VRAM": "Interrogar: manter modelos na VRAM",
     "Interrogate: use artists from artists.csv": "Interrogar: usa artistas e estilos do documento artists.csv",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir filas de model tags combinando nos resultados(Não tem efeito na interrogação feita por legenda).",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir classificação de tags de modelo combinando nos resultados(Não tem efeito na interrogação feita por legenda).",
     "Interrogate: num_beams for BLIP": "Interrogar: num_beams para BLIP",
     "Interrogate: minimum description length (excluding artists, etc..)": "Interrogar: tamanho mínimo da descrição (tirando artistas, etc..)",
     "Interrogate: maximum description length": "Interrogar: tamanho máximo da descrição",
-    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: núumero máximo de linhas no arquivo de texto(0 = Sem limites NÃO RECOMENDADO)",
-    "Interrogate: deepbooru score threshold": "Interrogate: limite de score deepbooru",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: número máximo de linhas no arquivo de texto(0 = Sem limites - NÃO RECOMENDADO)",
+    "Interrogate: deepbooru score threshold": "Interrogação: limite de score deepbooru",
     "Interrogate: deepbooru sort alphabetically": "Interrogar: organizar deepbooru por ordem alfabética",
     "use spaces for tags in deepbooru": "usar epaços para tags em deepbooru",
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "espaço (\\) colchetes em deepbooru (são usados como colchetes ao invés de dar ênfase)",
@@ -371,7 +376,7 @@
     "Show image creation progress every N sampling steps. Set 0 to disable.": "Mostrar a criação de imagens a cada N sampling steps. Em 1 já dá para ver o processo de geração. Marcar como 0 para desativar.",
     "Show previews of all images generated in a batch as a grid": "Mostrar previsualização de todas as imagens geradas em leva numa grade",
     "Show grid in results for web": "Mostrar grade em resultados para web",
-    "Do not show any images in results for web": "Nao mostrar nenhuma imagem em resultados para web",
+    "Do not show any images in results for web": "Não mostrar nenhuma imagem em resultados para web",
     "Add model hash to generation information": "Adicionar hash do modelo para infromação de geração",
     "Add model name to generation information": "Adicionar nome do modelo para infromação de geração",
     "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Quando ler parâmetros de texto para a interface (de informações de PNG ou texto copiado), não alterar o modelo/intervalo selecionado.",
@@ -381,7 +386,6 @@
     "Show generation progress in window title.": "Mostrar barra de progresso no nome da janela.",
     "Quicksettings list": "Lista de configurações rapidas",
     "Localization (requires restart)": "Localização (precisa reiniciar)",
-    "Sampler parameters": "Parâmetros de Sampler",
     "ar_AR": "ar_AR",
     "es_ES": "es_ES",
     "fr-FR": "fr-FR",
@@ -401,10 +405,10 @@
     "sigma tmin": "sigma tmin",
     "sigma noise": "sigma noise",
     "Eta noise seed delta": "Eta noise seed delta",
-    "Request browser notifications": "Pedir notificações de browser",
-    "Download localization template": "Download de template para localização",
-    "Reload custom script bodies (No ui updates, No restart)": "Recarregar scripts personalizados (Sem atualizar o UI, Sem reiniciar)",
-    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Recarregar Gradio e atualizar componentes (Scripts personalizados, ui.py, js e css)",
+    "Request browser notifications": "Solicitar notificações do navegador",
+    "Download localization template": "Baixar arquivo modelo de localização",
+    "Reload custom script bodies (No ui updates, No restart)": "Recarregar scripts personalizados (Sem atualizar a interface, Sem reiniciar)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Reiniciar Gradio e atualizar componentes (Scripts personalizados, ui.py, js e css)",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (apertar Ctrl+Enter ou Alt+Enter para gerar)",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt Negativo (apertar Ctrl+Enter ou Alt+Enter para gerar)",
     "Add a random artist to the prompt.": "Adicionar um artista aleatório para o prompt.",
@@ -414,7 +418,7 @@
     "Stop processing current image and continue processing.": "Pula a imagem sendo gerada e vai para a próxima.",
     "Stop processing images and return any results accumulated so far.": "Interrompe o processo e mostra o que foi gerado até então.",
     "Style to apply; styles have components for both positive and negative prompts and apply to both": "Estilo para aplicar; também serve para o prompt negativo e vai preencher se usado.",
-    "Do not do anything special": "Não faz nada de especial",
+    "Do not do anything special": "Não faça nada de especial",
     "Which algorithm to use to produce the image": "O tipo de algoritmo para gerar imagens.",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - cria mais variações para as imagens em diferentes passos. Mais que 40 passos cancela o efeito.",
     "Denoising Diffusion Implicit Models - Funciona melhor para inpainting.": "Denoising Diffusion Implicit Models - Funciona melhor para inpainting.",
@@ -444,6 +448,7 @@
     "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Se a imagem não for quadrada, estica ela para caber nas dimensões escolhidas.",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Mantém o máximo da imagem dentro das dimensões escolhidas e corta o resto.",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Coloca a imagem inteira dentro das dimensões escolhidas e preenche o espaço vazio.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Quantas vezes vai repetir o processamento de uma imagem e usá-la como entrada para a próxima iteração",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Quantas vezes vai reutilizar a imagem para o processo em loop.",
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Quantos pixels se sobrepõe durante o aumento da imagem, para garantir que não haverá marcas.",
     "A directory on the same machine where the server is running.": "Um diretório na mesma máquina onde o server está rodando.",
@@ -461,12 +466,6 @@
     "This string will be used to join split words into a single line if the option above is enabled.": "Junta palavras separadas em uma linha só.",
     "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nomes de configuração, separados por vírgulas, para configurações que ficam na barra de acesso rápido do topo. Mais detalhes em modules/shared.py para configurações de nomes. Precisa reiniciar o webui-user.bat.",
     "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Se o valor não for 0, vai ser adicionado ao seed e usado para gerar ruídos aleatórios quando o sampler tem estimativa de entrega. Isso traz mais variações de imagens ou coincide com imagens de outras aplicações (quando você sabe o que esta fazendo).",
-    "/0.0": "/0.0",
-    "queue:": "queue:",
-    "/": "/",
-    "|": "|",
-    "processing |": "processando |",
-    "localizationpt": "localizationpt"
 }
 
 

From 0995e879cea8ce871489ea8e393bb0eba6edc09c Mon Sep 17 00:00:00 2001
From: Florian Horn <florianins@gmail.com>
Date: Thu, 27 Oct 2022 16:20:01 +0200
Subject: [PATCH 241/321] added save button and shortcut (s) to Modal View

---
 javascript/imageviewer.js | 29 +++++++++++++++++++++++++++++
 modules/ui.py             |  8 +++++---
 style.css                 | 18 ++++++++++++++++--
 3 files changed, 50 insertions(+), 5 deletions(-)

diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js
index 9e380c65..3aa3b29e 100644
--- a/javascript/imageviewer.js
+++ b/javascript/imageviewer.js
@@ -81,6 +81,25 @@ function modalImageSwitch(offset) {
     }
 }
 
+function saveImage(){
+    const tabTxt2Img = gradioApp().getElementById("tab_txt2img")
+    const tabImg2Img = gradioApp().getElementById("tab_img2img")
+    const saveTxt2Img = "save_txt2img"
+    const saveImg2Img = "save_img2img"
+    if (tabTxt2Img.style["display"] != "none") {
+        gradioApp().getElementById(saveTxt2Img).click()
+    } else if (tabImg2Img.style["display"] != "none") {
+        gradioApp().getElementById(saveImg2Img).click()
+    } else {
+        console.error("missing implementation for saving modal of this type")
+    }
+}
+
+function modalSaveImage(event) {
+    saveImage()
+    event.stopPropagation()
+}
+
 function modalNextImage(event) {
     modalImageSwitch(1)
     event.stopPropagation()
@@ -93,6 +112,9 @@ function modalPrevImage(event) {
 
 function modalKeyHandler(event) {
     switch (event.key) {
+        case "s":
+            saveImage()
+            break;
         case "ArrowLeft":
             modalPrevImage(event)
             break;
@@ -198,6 +220,13 @@ document.addEventListener("DOMContentLoaded", function() {
     modalTileImage.title = "Preview tiling";
     modalControls.appendChild(modalTileImage)
 
+    const modalSave = document.createElement("span")
+    modalSave.className = "modalSave cursor"
+    modalSave.innerHTML = "&#x1F5AB;"
+    modalSave.addEventListener("click", modalSaveImage, true)
+    modalSave.title = "Save Image(s)"
+    modalControls.appendChild(modalSave)
+
     const modalClose = document.createElement('span')
     modalClose.className = 'modalClose cursor';
     modalClose.innerHTML = '&times;'
diff --git a/modules/ui.py b/modules/ui.py
index 0a63e357..1332e265 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -630,7 +630,7 @@ def create_ui(wrap_gradio_gpu_call):
     import modules.img2img
     import modules.txt2img
 
-
+    
     with gr.Blocks(analytics_enabled=False) as txt2img_interface:
         txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, _, txt2img_prompt_style_apply, txt2img_save_style, txt2img_paste, token_counter, token_button = create_toprow(is_img2img=False)
         dummy_component = gr.Label(visible=False)
@@ -683,7 +683,8 @@ def create_ui(wrap_gradio_gpu_call):
 
                 with gr.Column():
                     with gr.Row():
-                        save = gr.Button('Save')
+                        saveButtonId = 'save_txt2img'
+                        save = gr.Button('Save', elem_id=saveButtonId)
                         send_to_img2img = gr.Button('Send to img2img')
                         send_to_inpaint = gr.Button('Send to inpaint')
                         send_to_extras = gr.Button('Send to extras')
@@ -901,7 +902,8 @@ def create_ui(wrap_gradio_gpu_call):
 
                 with gr.Column():
                     with gr.Row():
-                        save = gr.Button('Save')
+                        saveButtonId = 'save_img2img'
+                        save = gr.Button('Save', elem_id=saveButtonId)
                         img2img_send_to_img2img = gr.Button('Send to img2img')
                         img2img_send_to_inpaint = gr.Button('Send to inpaint')
                         img2img_send_to_extras = gr.Button('Send to extras')
diff --git a/style.css b/style.css
index 13a9fb07..fa357a49 100644
--- a/style.css
+++ b/style.css
@@ -314,8 +314,8 @@ input[type="range"]{
 
 .modalControls {
     display: grid;
-    grid-template-columns: 32px auto 1fr 32px;
-    grid-template-areas: "zoom tile space close";
+    grid-template-columns: 32px auto 32px 1fr 32px;
+    grid-template-areas: "zoom tile save space close";
     position: absolute;
     top: 0;
     left: 0;
@@ -333,6 +333,10 @@ input[type="range"]{
     grid-area: zoom;
 }
 
+.modalSave {
+    grid-area: save;
+}
+
 .modalTileImage {
     grid-area: tile;
 }
@@ -346,8 +350,18 @@ input[type="range"]{
   cursor: pointer;
 }
 
+.modalSave {
+    color: white;
+    font-size: 30px;
+    margin-top: 6px;
+    font-weight: bold;
+    cursor: pointer;
+}
+
 .modalClose:hover,
 .modalClose:focus,
+.modalSave:hover,
+.modalSave:focus,
 .modalZoom:hover,
 .modalZoom:focus {
   color: #999;

From 268159cfe3231743c554a1a9bf15d090c758f920 Mon Sep 17 00:00:00 2001
From: Florian Horn <florianins@gmail.com>
Date: Thu, 27 Oct 2022 16:32:10 +0200
Subject: [PATCH 242/321] fixed indentation

---
 modules/ui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/ui.py b/modules/ui.py
index 1332e265..d49b10b2 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -630,7 +630,7 @@ def create_ui(wrap_gradio_gpu_call):
     import modules.img2img
     import modules.txt2img
 
-    
+
     with gr.Blocks(analytics_enabled=False) as txt2img_interface:
         txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, _, txt2img_prompt_style_apply, txt2img_save_style, txt2img_paste, token_counter, token_button = create_toprow(is_img2img=False)
         dummy_component = gr.Label(visible=False)

From bf25b51c3167426d3a340d2a3facea58813d4914 Mon Sep 17 00:00:00 2001
From: Florian Horn <florianins@gmail.com>
Date: Thu, 27 Oct 2022 16:38:55 +0200
Subject: [PATCH 243/321] fixed position to be in line with the other icons

---
 style.css | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/style.css b/style.css
index fa357a49..7b3ad050 100644
--- a/style.css
+++ b/style.css
@@ -314,7 +314,7 @@ input[type="range"]{
 
 .modalControls {
     display: grid;
-    grid-template-columns: 32px auto 32px 1fr 32px;
+    grid-template-columns: 32px 32px 32px 1fr 32px;
     grid-template-areas: "zoom tile save space close";
     position: absolute;
     top: 0;
@@ -352,8 +352,8 @@ input[type="range"]{
 
 .modalSave {
     color: white;
-    font-size: 30px;
-    margin-top: 6px;
+    font-size: 28px;
+    margin-top: 8px;
     font-weight: bold;
     cursor: pointer;
 }

From 68760a48cb537e08e58014819bb8f83dbd30e831 Mon Sep 17 00:00:00 2001
From: xmodar <modar.alfadly@gmail.com>
Date: Thu, 27 Oct 2022 17:46:00 +0300
Subject: [PATCH 244/321] Add forced LTR for training progress

---
 style.css | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/style.css b/style.css
index c49954e0..8dd483ef 100644
--- a/style.css
+++ b/style.css
@@ -526,7 +526,7 @@ Then, you will need to add the RTL counterpart only if needed in the rtl section
     :host {
         direction: rtl;
     }
-    select, .file-preview, .gr-text-input, .output-html:has(.performance) {
+    select, .file-preview, .gr-text-input, .output-html:has(.performance), #ti_progress {
         direction: ltr;
     }
     #script_list > label > select,

From a0a7024c679056dd66beb1832e52041b10143130 Mon Sep 17 00:00:00 2001
From: FlameLaw <116745066+FlameLaw@users.noreply.github.com>
Date: Fri, 28 Oct 2022 02:13:48 +0900
Subject: [PATCH 245/321] Fix random dataset shuffle on TI

---
 modules/textual_inversion/dataset.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py
index 5b1c5002..8bb00d27 100644
--- a/modules/textual_inversion/dataset.py
+++ b/modules/textual_inversion/dataset.py
@@ -86,12 +86,12 @@ class PersonalizedBase(Dataset):
         assert len(self.dataset) > 0, "No images have been found in the dataset."
         self.length = len(self.dataset) * repeats // batch_size
 
-        self.initial_indexes = np.arange(len(self.dataset))
+        self.dataset_length = len(self.dataset)
         self.indexes = None
         self.shuffle()
 
     def shuffle(self):
-        self.indexes = self.initial_indexes[torch.randperm(self.initial_indexes.shape[0]).numpy()]
+        self.indexes = np.random.permutation(self.dataset_length)
 
     def create_text(self, filename_text):
         text = random.choice(self.lines)

From 26a3fd2fe9314330336fb0e28d1e9ca7d2abe10e Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Thu, 27 Oct 2022 11:27:59 -0700
Subject: [PATCH 246/321] Highres fix works with unmasked latent. Also refactor
 the mask creation to make it more accesible.

---
 modules/processing.py | 134 ++++++++++++++++++++++++------------------
 1 file changed, 76 insertions(+), 58 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index f72185ac..548eec29 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -129,6 +129,73 @@ class StableDiffusionProcessing():
         self.all_seeds = None
         self.all_subseeds = None
 
+    def txt2img_image_conditioning(self, x, width=None, height=None):
+        if self.sampler.conditioning_key not in {'hybrid', 'concat'}:
+            # Dummy zero conditioning if we're not using inpainting model.
+            # Still takes up a bit of memory, but no encoder call.
+            # Pretty sure we can just make this a 1x1 image since its not going to be used besides its batch size.
+            return torch.zeros(
+                x.shape[0], 5, 1, 1, 
+                dtype=x.dtype, 
+                device=x.device
+            )
+
+        height = height or self.height
+        width = width or self.width
+
+        # The "masked-image" in this case will just be all zeros since the entire image is masked.
+        image_conditioning = torch.zeros(x.shape[0], 3, height, width, device=x.device)
+        image_conditioning = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image_conditioning)) 
+
+        # Add the fake full 1s mask to the first dimension.
+        image_conditioning = torch.nn.functional.pad(image_conditioning, (0, 0, 0, 0, 1, 0), value=1.0)
+        image_conditioning = image_conditioning.to(x.dtype)            
+
+        return image_conditioning
+
+    def img2img_image_conditioning(self, source_image, latent_image, image_mask = None):
+        if self.sampler.conditioning_key not in {'hybrid', 'concat'}:
+            # Dummy zero conditioning if we're not using inpainting model.
+            return torch.zeros(
+                latent_image.shape[0], 5, 1, 1,
+                dtype=latent_image.dtype,
+                device=latent_image.device
+            )
+
+        # Handle the different mask inputs
+        if image_mask is not None:
+            if torch.is_tensor(image_mask):
+                conditioning_mask = image_mask
+            else:
+                conditioning_mask = np.array(image_mask.convert("L"))
+                conditioning_mask = conditioning_mask.astype(np.float32) / 255.0
+                conditioning_mask = torch.from_numpy(conditioning_mask[None, None])
+
+                # Inpainting model uses a discretized mask as input, so we round to either 1.0 or 0.0
+                conditioning_mask = torch.round(conditioning_mask)
+        else:
+            conditioning_mask = torch.ones(1, 1, *source_image.shape[-2:])
+
+        # Create another latent image, this time with a masked version of the original input.
+        # Smoothly interpolate between the masked and unmasked latent conditioning image using a parameter.
+        conditioning_mask = conditioning_mask.to(source_image.device)
+        conditioning_image = torch.lerp(
+            source_image,
+            source_image * (1.0 - conditioning_mask),
+            getattr(self, "inpainting_mask_weight", shared.opts.inpainting_mask_weight)
+        )
+        
+        # Encode the new masked image using first stage of network.
+        conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(conditioning_image))
+
+        # Create the concatenated conditioning tensor to be fed to `c_concat`
+        conditioning_mask = torch.nn.functional.interpolate(conditioning_mask, size=latent_image.shape[-2:])
+        conditioning_mask = conditioning_mask.expand(conditioning_image.shape[0], -1, -1, -1)
+        image_conditioning = torch.cat([conditioning_mask, conditioning_image], dim=1)
+        image_conditioning = image_conditioning.to(shared.device).type(self.sd_model.dtype)
+
+        return image_conditioning
+
     def init(self, all_prompts, all_seeds, all_subseeds):
         pass
 
@@ -571,37 +638,16 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
             self.truncate_x = int(self.firstphase_width - firstphase_width_truncated) // opt_f
             self.truncate_y = int(self.firstphase_height - firstphase_height_truncated) // opt_f
 
-    def create_dummy_mask(self, x, width=None, height=None):
-        if self.sampler.conditioning_key in {'hybrid', 'concat'}:
-            height = height or self.height
-            width = width or self.width
-
-            # The "masked-image" in this case will just be all zeros since the entire image is masked.
-            image_conditioning = torch.zeros(x.shape[0], 3, height, width, device=x.device)
-            image_conditioning = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(image_conditioning)) 
-
-            # Add the fake full 1s mask to the first dimension.
-            image_conditioning = torch.nn.functional.pad(image_conditioning, (0, 0, 0, 0, 1, 0), value=1.0)
-            image_conditioning = image_conditioning.to(x.dtype)
-
-        else:
-            # Dummy zero conditioning if we're not using inpainting model.
-            # Still takes up a bit of memory, but no encoder call.
-            # Pretty sure we can just make this a 1x1 image since its not going to be used besides its batch size.
-            image_conditioning = torch.zeros(x.shape[0], 5, 1, 1, dtype=x.dtype, device=x.device)
-
-        return image_conditioning
-
     def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength):
         self.sampler = sd_samplers.create_sampler_with_index(sd_samplers.samplers, self.sampler_index, self.sd_model)
 
         if not self.enable_hr:
             x = create_random_tensors([opt_C, self.height // opt_f, self.width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=self.subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self)
-            samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.create_dummy_mask(x))
+            samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
             return samples
 
         x = create_random_tensors([opt_C, self.firstphase_height // opt_f, self.firstphase_width // opt_f], seeds=seeds, subseeds=subseeds, subseed_strength=self.subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self)
-        samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.create_dummy_mask(x, self.firstphase_width, self.firstphase_height))
+        samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x, self.firstphase_width, self.firstphase_height))
 
         samples = samples[:, :, self.truncate_y//2:samples.shape[2]-self.truncate_y//2, self.truncate_x//2:samples.shape[3]-self.truncate_x//2]
 
@@ -638,7 +684,12 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
         x = None
         devices.torch_gc()
 
-        samples = self.sampler.sample_img2img(self, samples, noise, conditioning, unconditional_conditioning, steps=self.steps, image_conditioning=self.create_dummy_mask(samples))
+        image_conditioning = self.img2img_image_conditioning(
+            decoded_samples, 
+            samples, 
+            decoded_samples.new_ones(decoded_samples.shape[0], 1, decoded_samples.shape[2], decoded_samples.shape[3])
+        )
+        samples = self.sampler.sample_img2img(self, samples, noise, conditioning, unconditional_conditioning, steps=self.steps, image_conditioning=image_conditioning)
 
         return samples
 
@@ -770,40 +821,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             elif self.inpainting_fill == 3:
                 self.init_latent = self.init_latent * self.mask
 
-        if self.sampler.conditioning_key in {'hybrid', 'concat'}:
-            if self.image_mask is not None:
-                conditioning_mask = np.array(self.image_mask.convert("L"))
-                conditioning_mask = conditioning_mask.astype(np.float32) / 255.0
-                conditioning_mask = torch.from_numpy(conditioning_mask[None, None])
-
-                # Inpainting model uses a discretized mask as input, so we round to either 1.0 or 0.0
-                conditioning_mask = torch.round(conditioning_mask)
-            else:
-                conditioning_mask = torch.ones(1, 1, *image.shape[-2:])
-
-            # Create another latent image, this time with a masked version of the original input.
-            conditioning_mask = conditioning_mask.to(image.device)
-
-            # Smoothly interpolate between the masked and unmasked latent conditioning image.
-            conditioning_image = torch.lerp(
-                image,
-                image * (1.0 - conditioning_mask),
-                getattr(self, "inpainting_mask_weight", shared.opts.inpainting_mask_weight)
-            )
-            
-            conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(conditioning_image))
-
-            # Create the concatenated conditioning tensor to be fed to `c_concat`
-            conditioning_mask = torch.nn.functional.interpolate(conditioning_mask, size=self.init_latent.shape[-2:])
-            conditioning_mask = conditioning_mask.expand(conditioning_image.shape[0], -1, -1, -1)
-            self.image_conditioning = torch.cat([conditioning_mask, conditioning_image], dim=1)
-            self.image_conditioning = self.image_conditioning.to(shared.device).type(self.sd_model.dtype)
-        else:
-            self.image_conditioning = torch.zeros(
-                self.init_latent.shape[0], 5, 1, 1,
-                dtype=self.init_latent.dtype,
-                device=self.init_latent.device
-            )
+        self.image_conditioning = self.img2img_image_conditioning(image, self.init_latent, self.image_mask)
 
 
     def sample(self, conditioning, unconditional_conditioning, seeds, subseeds, subseed_strength):

From a38496c1deef12f56f74f8abce2034bef8bdaccb Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Thu, 27 Oct 2022 11:31:31 -0700
Subject: [PATCH 247/321] Moved mask weight config to SD section

---
 modules/shared.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/shared.py b/modules/shared.py
index d47378e8..9c2fa0d4 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -267,6 +267,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
     "sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
     "sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
+    "inpainting_mask_weight": OptionInfo(1.0, "Strength of img2img conditioning mask for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
     "save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),
     "img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
@@ -320,7 +321,6 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     's_tmin':  OptionInfo(0.0, "sigma tmin",  gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     's_noise': OptionInfo(1.0, "sigma noise", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
-    "inpainting_mask_weight": OptionInfo(1.0, "Blend betweeen an unmasked and masked conditioning image for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
 }))
 
 

From b68c7c437eda2840a304539dd2acd0b0894e920c Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Thu, 27 Oct 2022 11:45:35 -0700
Subject: [PATCH 248/321] Updated name and hover text.

---
 javascript/hints.js | 1 +
 modules/shared.py   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/javascript/hints.js b/javascript/hints.js
index 6ddd6aec..623bc25c 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -75,6 +75,7 @@ titles = {
     "Create style": "Save current prompts as a style. If you add the token {prompt} to the text, the style use that as placeholder for your prompt when you use the style in the future.",
 
     "Checkpoint name": "Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.",
+    "Inpainting conditioning mask strength": "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.",
 
     "vram": "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).",
 
diff --git a/modules/shared.py b/modules/shared.py
index 9c2fa0d4..7c428d90 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -267,7 +267,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
     "sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
     "sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
-    "inpainting_mask_weight": OptionInfo(1.0, "Strength of img2img conditioning mask for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
+    "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
     "save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),
     "img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),

From 5e6344261d11bd2bce42eaa7b8425564a4867745 Mon Sep 17 00:00:00 2001
From: Martucci <73501718+M-art-ucci@users.noreply.github.com>
Date: Thu, 27 Oct 2022 17:24:20 -0300
Subject: [PATCH 249/321] Compromise with other PR for this fork

---
 localizations/pt_BR.json | 253 +++++++++++++++++++--------------------
 1 file changed, 125 insertions(+), 128 deletions(-)

diff --git a/localizations/pt_BR.json b/localizations/pt_BR.json
index 487432ae..d2e01c79 100644
--- a/localizations/pt_BR.json
+++ b/localizations/pt_BR.json
@@ -5,7 +5,7 @@
     "❮": "❮",
     "❯": "❯",
     "Loading...": "Carregando...",
-    "view": "Visualizar",
+    "view": "ver ",
     "api": "api",
     "•": "•",
     "built with gradio": "Criado com gradio",
@@ -14,9 +14,9 @@
     "img2img": "img2img",
     "Extras": "Extras",
     "PNG Info": "Informações dePNG",
-    "Checkpoint Merger": "Junção de Checkpoint",
+    "Checkpoint Merger": "Fusão de Checkpoint",
     "Train": "Treinar",
-    "Settings": "configurações",
+    "Settings": "Configurações",
     "Prompt": "Prompt",
     "Negative prompt": "Prompt negativo",
     "Run": "Executar",
@@ -34,8 +34,8 @@
     "Image": "Imagem",
     "Check progress": "Checar progresso",
     "Check progress (first)": "Checar progresso (primeiro)",
-    "Sampling Steps": "Sampling Steps",
-    "Sampling method": "Sampling method",
+    "Sampling Steps": "Passos de amostragem",
+    "Sampling method": "Método de amostragem",
     "Euler a": "Euler a",
     "Euler": "Euler",
     "LMS": "LMS",
@@ -51,35 +51,35 @@
     "PLMS": "PLMS",
     "Width": "Largura",
     "Height": "Altura",
-    "Restore faces": "Refinar rosto",
-    "Tiling": "Estilo azulejo",
+    "Restore faces": "Restaurar rostoss",
+    "Tiling": "Ladrilhar",
     "Highres. fix": "Ajuste de alta resolução",
-    "Firstpass width": "Passagem inicial de Largura",
-    "Firstpass height": "Passagem inicial de Altura",
-    "Denoising strength": "Quantidade de Denoise",
-    "Batch count": "Quantidade por leva",
-    "Batch size": "Quantidade de levas",
+    "Firstpass width": "Primeira Passagem da largura",
+    "Firstpass height": "Primeira Passagem da altura",
+    "Denoising strength": "Denoising strength",
+    "Batch count": "Quantidade por lote",
+    "Batch size": "Quantidade de lotes",
     "CFG Scale": "Escala CFG",
     "Seed": "Seed",
     "Extra": "Extra",
     "Variation seed": "Variação de seed",
     "Variation strength": "Força da variação",
-    "Resize seed from width": "Ajustar o tamanho da seed a partir da largura",
-    "Resize seed from height": "Ajustar o tamanho daseed a partir da altura",
+    "Resize seed from width": "Redimensionar a seed a partir da largura",
+    "Resize seed from height": "Redimensionar a seed a partir da altura",
     "Script": "Script",
     "None": "Nenhum",
     "Prompt matrix": "Matriz de Prompt",
     "Prompts from file or textbox": "Prompts a partir de arquivo ou caixa de texto",
     "X/Y plot": "X/Y plot",
-    "Put variable parts at start of prompt": "Colocar partes variáveis no começo do prompt",
-	"Iterate seed every line": "Iterar seed em todas as linhas",
-    "List of prompt inputs": "Lista de textos para prompt",
-    "Upload prompt inputs": "Carregar textos para prompts",
+    "Put variable parts at start of prompt": "Coloca partes variáveis no começo do prompt",
+    "Iterate seed every line": "Iterar seed a cada linha",
+    "List of prompt inputs": "Lista de entradas de texto para prompt",
+    "Upload prompt inputs": "Carregar entradas de textos para prompts",
     "X type": "Tipo do X",
     "Nothing": "Nenhum",
     "Var. seed": "Var. seed",
     "Var. strength": "Var. da força",
-    "Steps": "Steps",
+    "Steps": "Passos",
     "Prompt S/R": "Prompt S/R",
     "Prompt order": "Ordem de Prompt",
     "Sampler": "Sampler",
@@ -94,33 +94,32 @@
     "Clip skip": "Pular Clip",
     "Denoising": "Denoising",
     "X values": "Valores de X",
-    "Y type": "Tipos de Y",
+    "Y type": "Tipo de Y",
     "Y values": "Valores de Y",
     "Draw legend": "Desenhar a legenda",
     "Include Separate Images": "Incluir Imagens Separadas",
     "Keep -1 for seeds": "Manter em -1 para seeds",
-    "Drop Image Here": "Arraste a imagem aqui",
+    "Drop Image Here": "Coloque a imagem aqui",
     "Save": "Salvar",
     "Send to img2img": "Mandar para img2img",
     "Send to inpaint": "Mandar para inpaint",
     "Send to extras": "Mandar para extras",
     "Make Zip when Save?": "Criar um Zip quando salvar?",
     "Textbox": "Caixa de texto",
-    "Interrogate\nCLIP": "Interrogar\nCLIP",
+    "Interrogate\nCLIP": "Interrogatório\nCLIP",
     "Inpaint": "Inpaint",
-    "Batch img2img": "Leva de img2img",
+    "Batch img2img": "Lote img2img",
     "Image for img2img": "Imagem para img2img",
-    "Drop Image Here": "Arrastar imagem para cá",
     "Image for inpainting with mask": "Imagem para inpainting com máscara",
-    "Mask": "Mascara",
+    "Mask": "Máscara",
     "Mask blur": "Desfoque da máscara",
     "Mask mode": "Modo de máscara",
     "Draw mask": "Desenhar máscara",
     "Upload mask": "Carregar máscara",
-    "Masking mode": "Tipo de máscara",
+    "Masking mode": "Modo de máscara",
     "Inpaint masked": "Inpaint o que está dentro da máscara",
     "Inpaint not masked": "Inpaint o que está fora da máscara",
-    "Masked content": "Conteúdo da máscara",
+    "Masked content": "Conteúdo mascarado",
     "fill": "preencher",
     "original": "original",
     "latent noise": "latent noise",
@@ -129,26 +128,26 @@
     "Inpaint at full resolution padding, pixels": "Inpaint de preenchimento em resolução total, pixels",
     "Process images in a directory on the same machine where the server is running.": "Processar imagens no diretório da mesma maquina onde o servidor está rodando.",
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usar um diretório vazio para salvar imagens, ao invés de salvá-las no diretório output.",
-    "Input directory": "Diretório de Input",
-    "Output directory": "Diretório de Output",
-    "Resize mode": "Modo de ajuste de tamanho",
-    "Just resize": "Apenas ajustar",
-    "Crop and resize": "Cortar e ajustar",
-    "Resize and fill": "Ajustar e preencher",
+    "Input directory": "Diretório de entrada",
+    "Output directory": "Diretório de saída",
+    "Resize mode": "Modo de redimensionamento",
+    "Just resize": "Apenas redimensionar",
+    "Crop and resize": "Cortar e redimensionar",
+    "Resize and fill": "Redimensionar e preencher",
     "img2img alternative test": "Teste alternativo de img2img",
     "Loopback": "Loopback",
     "Outpainting mk2": "Outpainting mk2",
     "Poor man's outpainting": "Poor man's outpainting",
-    "SD upscale": "Ajuste SD",
-    "should be 2 or lower.": "precisa ser 2 ou menos.",
-    "Override `Sampling method` to Euler?(this method is built for it)": "Substituir 'sampling method' para Euler? (esse método foi feito para isso)",
+    "SD upscale": "Ampliamento SD",
+    "should be 2 or lower.": "deve ser 2 ou menos.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Substituir 'Método de amostragem' para Euler? (este método foi feito para isso)",
     "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Substituir 'prompt' para o mesmo valor que o 'prompt original'? (também para o 'prompt negativo')",
     "Original prompt": "Prompt original",
     "Original negative prompt": "Prompt negativo original",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Substituir 'Sampling Steps' para o mesmo valor que 'Decode steps'?",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Substituir 'Passos de Amostragem' para o mesmo valor que 'Decodificar Passos'?",
     "Decode steps": "Decode steps",
     "Override `Denoising strength` to 1?": "Substituir 'Quantidade do Denoise' para 1?",
-    "Decode CFG scale": "Escala CFG de Decode",
+    "Decode CFG scale": "Decodificar escala CFG",
     "Randomness": "Aleatoriedade",
     "Sigma adjustment for finding noise for image": "Ajuste Sigma para encontrar ruído para imagem",
     "Loops": "Loops",
@@ -162,9 +161,9 @@
     "down": "baixo",
     "Fall-off exponent (lower=higher detail)": "Exponente de queda (menor=mais detalhes)",
     "Color variation": "Variação de cor",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Aumenta a imagem para duas vezes as dimensoes; ajust a largura e altura para definir o tamanho do azulejo",
-    "Tile overlap": "substituição de azulejo",
-    "Upscaler": "Ferramenta de ajuste de aumento",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Amplia a imagem em dobro; ajusta a largura e altura para definir o tamanho do ladrilho",
+    "Tile overlap": "Sobreposição de ladrilho",
+    "Upscaler": "Ampliador",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
     "4x_foolhardy_Remacri": "4x_foolhardy_Remacri",
@@ -177,22 +176,22 @@
     "ScuNET": "ScuNET",
     "ScuNET PSNR": "ScuNET PSNR",
     "put_swinir_models_here": "put_swinir_models_here",
-    "Single Image": "Imagem Única",
-    "Batch Process": "Processo em Levas",
-    "Batch from Directory": "Levas a partir de diretório",
+    "Single Image": "Uma imagem",
+    "Batch Process": "Processo em lote",
+    "Batch from Directory": "Lote apartir de diretório",
     "Source": "Origem",
     "Show result images": "Mostrar imagens resultantes",
     "Scale by": "Aumentar proporcionalmente em",
     "Scale to": "Aumentar proporcionalmente para",
-    "Resize": "Aumentar para",
+    "Resize": "Redimensionar",
     "Crop to fit": "Cortar para caber",
-    "Upscaler 2 visibility": "Visibilidade da ferramenta de aumento 2",
+    "Upscaler 2 visibility": "Visibilidade da ferramenta de ampliação 2",
     "GFPGAN visibility": "Visibilidade GFPGAN",
     "CodeFormer visibility": "Visibilidade CodeFormer",
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso do CodeFormer (0 = efeito máximo, 1 = efeito mínimo)",
-    "Open output directory": "Abrir diretorio de output",
+    "Open output directory": "Abrir diretório de saída",
     "Send to txt2img": "Mandar para txt2img",
-    "A merger of the two checkpoints will be generated in your": "Uma combinação de dois checkpoints vai ser gerada em",
+    "A merger of the two checkpoints will be generated in your": "Uma fusão dos dois checkpoints será gerada em seu",
     "checkpoint": "checkpoint",
     "directory.": "diretório.",
     "Primary model (A)": "Modelo primário (A)",
@@ -201,21 +200,21 @@
     "Custom Name (Optional)": "Nome personalizado (Opcional)",
     "Multiplier (M) - set to 0 to get model A": "Multiplicador (M) - definir em 0 para obter o modelo A",
     "Interpolation Method": "Método de Interpolação",
-    "Weighted sum": "Soma de weights",
+    "Weighted sum": "Soma de pesos",
     "Add difference": "Acrescentar diferença",
     "Save as float16": "Salvar como float16",
     "See": "Ver",
     "wiki": "wiki",
-    "for detailed explanation.": "para explicações detalhadas.",
-    "Create embedding": "Criar embedding",
+    "for detailed explanation.": "para explicação detalhada.",
+    "Create embedding": "Criar incorporação",
     "Create hypernetwork": "Criar hypernetwork",
     "Preprocess images": "Pré-processar imagens",
     "Name": "Nome",
-    "Initialization text": "Texto de Inicialização",
+    "Initialization text": "Texto de inicialização",
     "Number of vectors per token": "Número de vetores por token",
-    "Overwrite Old Embedding": "Substituir Embedding anterior",
+    "Overwrite Old Embedding": "Substituir Incorporação anterior",
     "Modules": "Módulos",
-    "Enter hypernetwork layer structure": "Inserir na camada estrutural de hypernetwork",
+    "Enter hypernetwork layer structure": "Entrar na estrutura de camadas da hypernetwork",
     "Select activation function of hypernetwork": "Selecionar a função de ativação de hypernetwork",
     "relu": "relu",
     "leakyrelu": "leakyrelu",
@@ -261,13 +260,13 @@
     "Existing Caption txt Action": "Ação de legenda txt já existente",
     "ignore": "ignorar",
     "copy": "copiar",
-    "prepend": "preceder",
-    "append": "acrescentar",
+    "prepend": "adicionar ao início",
+    "append": "adicionar ao final",
     "Create flipped copies": "Criar cópias espelhadas",
     "Split oversized images into two": "Dividir imagens maiores em duas",
     "Auto focal point crop": "Ajuste de corte em ponto focal automático",
-    "Use BLIP for caption": "Usar BLIP para legenda",
-    "Use deepbooru for caption": "Usar deepbooru para legenda",
+    "Use BLIP for caption": "Usar BLIP para o título",
+    "Use deepbooru for caption": "Usar deepbooru para o título",
     "Split image threshold": "Limite de divisão de imagem",
     "Split image overlap ratio": "Proporção de sobreposição da divisão de imagem",
     "Focal point face weight": "Peso de ponto focal para rosto",
@@ -278,18 +277,18 @@
     "Train an embedding; must specify a directory with a set of 1:1 ratio images": "Treinar um embedding; precisa especificar um diretório com imagens de proporção 1:1",
     "[wiki]": "[wiki]",
     "Embedding": "Embedding",
-    "Embedding Learning rate": "Taxa de aprendizagem do embedding",
-    "Hypernetwork Learning rate": "Taxa de treinamento de Hypernetwork",
+    "Embedding Learning rate": "Taxa de aprendizagem da incorporação",
+    "Hypernetwork Learning rate": "Taxa de aprendizagem de Hypernetwork",
     "Dataset directory": "Diretório de Dataset",
     "Log directory": "Diretório de Log",
     "Prompt template file": "Arquivo padrão de Prompt",
-    "Max steps": "Steps máximos",
-    "Save an image to log directory every N steps, 0 to disable": "Salvar uma imagem no diretório de log a cada N steps. 0 para desativar",
-    "Save a copy of embedding to log directory every N steps, 0 to disable": "Salva uma cópia do embedding no diretório de log a cada N steps. 0 para desativar",
-    "Save images with embedding in PNG chunks": "Salva imagens com embedding em blocos de PNG",
+    "Max steps": "Passos máximos",
+    "Save an image to log directory every N steps, 0 to disable": "Salvar uma imagem no diretório de log a cada N passos. 0 para desativar",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Salva uma cópia da incorporação no diretório de log a cada N passos. 0 para desativar",
+    "Save images with embedding in PNG chunks": "Salva imagens com incorporação em segmentos de PNG",
     "Read parameters (prompt, etc...) from txt2img tab when making previews": "Ler parâmetros (prompt, etc...) para a aba txt2img durante os previews",
     "Train Hypernetwork": "Treinar Hypernetwork",
-    "Train Embedding": "Treinar Embedding",
+    "Train Embedding": "Treinar Incorporação",
     "Apply settings": "Aplicar configurações",
     "Saving images/grids": "Salvar imagens/grades",
     "Always save all generated images": "Sempre salvar todas as imagens geradas",
@@ -300,9 +299,9 @@
     "File format for grids": "Tipo de formato das grades de imagens salvas",
     "Add extended info (seed, prompt) to filename when saving grid": "Adicionar informações extras (seed, prompt) para os arquivos quando gerar uma grade",
     "Do not save grids consisting of one picture": "Não salvar grades de apenas uma imagem",
-    "Prevent empty spots in grid (when set to autodetect)": "Previnir pontos vazios na grade (quando marcado para autodetectar)",
-    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Contagem de colunas da grade; -1 para autodetectar e 0 para ser igual ao valor do tamanho das levas",
-    "Save text information about generation parameters as chunks to png files": "Salvar informações de parâmetros de geração como blocos png",
+    "Prevent empty spots in grid (when set to autodetect)": "Previnir espaços vazios na grade (quando marcado para autodetectar)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Contagem de linhas da grade; -1 para autodetectar e 0 para ser igual ao valor do tamanho das levas",
+    "Save text information about generation parameters as chunks to png files": "Salvar informações de parâmetros de geração como segmentos png",
     "Create a text file next to every image with generation parameters.": "Criar um arquivo de texto com informações de geração junto a cada imagem gerada.",
     "Save a copy of image before doing face restoration.": "Salva uma cópia de cada imagem antes do refinamento facial.",
     "Quality for saved jpeg images": "Qualidade das imagens jpeg",
@@ -310,41 +309,41 @@
     "Use original name for output filename during batch process in extras tab": "Usar o nome original para os arquivos de output durante o processo de levas da aba Extras",
     "When using 'Save' button, only save a single selected image": "Quando usar o botão 'Salvar', somente salvar as imagens selecionadas.",
     "Do not add watermark to images": "Não adicionar marca dágua nas imagens",
-    "Paths for saving": "Caminho para salvamento",
-    "Output directory for images; if empty, defaults to three directories below": "Diretório de output para imagens; se deixado em branco, as imagens vao para os seguintes diretórios",
-    "Output directory for txt2img images": "Diretório de Output para imagens txt2img",
-    "Output directory for img2img images": "Diretório de Output para imagens img2img",
-    "Output directory for images from extras tab": "Diretório de Output para a aba Extras",
-    "Output directory for grids; if empty, defaults to two directories below": "Diretório de Output para grades; se vazio, vão para os diretórios seguintes",
-    "Output directory for txt2img grids": "Diretório de Output para grades de imagens txt2img",
-    "Output directory for img2img grids": "Diretório de Output para grades de imagens img2img",
-    "Directory for saving images using the Save button": "Diretório de Output para imagens salvas com o botão 'Salvar'",
+    "Paths for saving": "Caminhos para salvar",
+    "Output directory for images; if empty, defaults to three directories below": "Diretório de saída para imagens; se deixado em branco, as imagens vao para os seguintes diretórios",
+    "Output directory for txt2img images": "Diretório de Saída para imagens txt2img",
+    "Output directory for img2img images": "Diretório de Saída para imagens img2img",
+    "Output directory for images from extras tab": "Diretório de Saída para a aba Extras",
+    "Output directory for grids; if empty, defaults to two directories below": "Diretório de Saída para grades; se vazio, vão para os diretórios seguintes",
+    "Output directory for txt2img grids": "Diretório de Saída para grades de imagens txt2img",
+    "Output directory for img2img grids": "Diretório de Saída para grades de imagens img2img",
+    "Directory for saving images using the Save button": "Diretório para imagens salvas utilizando o botão de salvar",
     "Saving to a directory": "Salvando para um diretório",
     "Save images to a subdirectory": "Salvar imagens para um subdiretório",
     "Save grids to a subdirectory": "Salvar grades de imagens para um subdiretório",
     "When using \"Save\" button, save images to a subdirectory": "Quando usar o botão \"Salvar\", salvar imagens para um subdiretório",
-    "Directory name pattern": "Padrão de nomeação de diretório",
+    "Directory name pattern": "Padrão de nome de diretório",
     "Max prompt words for [prompt_words] pattern": "Número máximo de palavras do padrão de prompt [prompt_words]",
-    "Upscaling": "Aumentando",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamanho do azulejo para ferramenta de aumento ESRGAN. 0 = sem azulejo.",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sobreposição de azulejo, em pixels, para ferramentas de aumento ESRGAN. Valores baixos = junção mais aparente.",
+    "Upscaling": "Ampliando",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamanho do ladrilho para ampliação ESRGAN. 0 = sem ladrilho.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sobreposição de azulejo, em pixels, para amplicação  ESRGAN. Valores baixos = linhas de fusão mais aparente.",
     "Tile size for all SwinIR.": "Tamanho do azulejo para todo SwinIR.",
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Sobreposição de azulejo, em pixels,  para SwinIR. Valores baixos = junção mais aparente.",
     "LDSR processing steps. Lower = faster": "Steps de processamento LDSR. Menos = rápido",
-    "Upscaler for img2img": "Ferramenta de aumento para img2img",
-    "Upscale latent space image when doing hires. fix": "Aumento em imagem latent space quando usando a resolução de alta definição - hires. fix",
+    "Upscaler for img2img": "Ampliação para img2img",
+    "Upscale latent space image when doing hires. fix": "Ampliar a imagem do espaço latente quando usando o ajuste de alta definição - hires. fix",
     "Face restoration": "Refinamento de rosto",
-    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Paramento de peso do CodeFormer; 0 = efeito máximo; 1 = efeito mínimo",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Parâmento de peso do CodeFormer; 0 = efeito máximo; 1 = efeito mínimo",
     "Move face restoration model from VRAM into RAM after processing": "Mover o processo de refinamento de rosto da VRAM da placa de vídeo para a RAM do computador depois do processamento.",
-    "System": "System",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "Uso de VRAM por segundo durante gerações. Deixar em 0 para desativar.",
+    "System": "Sistema",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Levantamento de uso de VRAM por segundo durante gerações. Deixar em 0 para desativar.",
     "Always print all generation info to standard output": "Sempre mostrar as informações de todas as gerações no padrão de output",
     "Add a second progress bar to the console that shows progress for an entire job.": "Adicionar uma segunda barra de processamento no console que mostra a progressão de todo o trabalho.",
     "Training": "Treinamento",
     "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Mover VAE e CLIP para a RAM quando treinando hypernetwork. Preserva VRAM.",
     "Filename word regex": "Palavra de nome de arquivo regex",
     "Filename join string": "Nome de arquivo join string",
-    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repetições para input único de imagens por época; serve apenas para mostrar o número de época",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Número de repetições para entrada única de imagens por época; serve apenas para mostrar o número de época",
     "Save an csv containing the loss to log directory every N steps, 0 to disable": "Salvar um csv com as perdas para o diretório de log a cada N steps, 0 para desativar",
     "Stable Diffusion": "Stable Diffusion",
     "Checkpoints to cache in RAM": "Checkpoints para manter no cache da RAM",
@@ -355,21 +354,21 @@
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Ativar quantização em K samples para resultados mais nítidos e visíveis. Pode alterar seeds ja existentes. Precisa reiniciar para funcionar.",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Ênfase: usar parênteses ao redor de palavras (texto de exemplo) para fazer o modelo dar mais atenção par aquela palavra ou frase, e chaves [texto de exemplo] para tirar atenção",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usar método anterior de implementação de ênfase. Útil para reproduzir seeds antigas.",
-    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Faz os samplers K-diffusion produzirem imagens iguais em levas quando criando uma única imagem",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta a coerência por padding da última vírgula dentro de n tokens quando usar mais de 75 tokens",
-    "Filter NSFW content": "Filtra conteúdos polêmicos (violência, nudez etc)",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Faz as amostragens K-diffusion produzirem imagens iguais em lotes quando criando uma única imagem",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta a coerência por preenchimento apartir da ultima vírgula dentro de n tokens quando usando mais de 75 tokens",
+    "Filter NSFW content": "Filtra conteúdos inadequados(geralmente +18)",
     "Stop At last layers of CLIP model": "Para na última camada do modelo CLIP",
-    "Interrogate Options": "Opções de Interrogação",
+    "Interrogate Options": "Opções de Interrogatório",
     "Interrogate: keep models in VRAM": "Interrogar: manter modelos na VRAM",
     "Interrogate: use artists from artists.csv": "Interrogar: usa artistas e estilos do documento artists.csv",
     "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir classificação de tags de modelo combinando nos resultados(Não tem efeito na interrogação feita por legenda).",
     "Interrogate: num_beams for BLIP": "Interrogar: num_beams para BLIP",
     "Interrogate: minimum description length (excluding artists, etc..)": "Interrogar: tamanho mínimo da descrição (tirando artistas, etc..)",
     "Interrogate: maximum description length": "Interrogar: tamanho máximo da descrição",
-    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: número máximo de linhas no arquivo de texto(0 = Sem limites - NÃO RECOMENDADO)",
-    "Interrogate: deepbooru score threshold": "Interrogação: limite de score deepbooru",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: número máximo de linhas no arquivo de texto(0 = Sem limites)",
+    "Interrogate: deepbooru score threshold": "Interrogatório: limite de score deepbooru",
     "Interrogate: deepbooru sort alphabetically": "Interrogar: organizar deepbooru por ordem alfabética",
-    "use spaces for tags in deepbooru": "usar epaços para tags em deepbooru",
+    "use spaces for tags in deepbooru": "usar espaços para tags em deepbooru",
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "espaço (\\) colchetes em deepbooru (são usados como colchetes ao invés de dar ênfase)",
     "User interface": "Interface de Usuário",
     "Show progressbar": "Mostrar barra de progresso",
@@ -377,8 +376,8 @@
     "Show previews of all images generated in a batch as a grid": "Mostrar previsualização de todas as imagens geradas em leva numa grade",
     "Show grid in results for web": "Mostrar grade em resultados para web",
     "Do not show any images in results for web": "Não mostrar nenhuma imagem em resultados para web",
-    "Add model hash to generation information": "Adicionar hash do modelo para infromação de geração",
-    "Add model name to generation information": "Adicionar nome do modelo para infromação de geração",
+    "Add model hash to generation information": "Adicionar hash do modelo para informação de geração",
+    "Add model name to generation information": "Adicionar nome do modelo para informação de geração",
     "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Quando ler parâmetros de texto para a interface (de informações de PNG ou texto copiado), não alterar o modelo/intervalo selecionado.",
     "Font for image grids that have text": "Fonte para grade de imagenss que tem texto",
     "Enable full page image viewer": "Ativar visualizador de página inteira",
@@ -394,17 +393,17 @@
     "ru_RU": "ru_RU",
     "tr_TR": "tr_TR",
     "zh_CN": "zh_CN",
-    "Sampler parameters": "Parâmetros de Sampler",
-    "Hide samplers in user interface (requires restart)": "Esconder samplers na interface de usuário (precisa reiniciar)",
-    "eta (noise multiplier) for DDIM": "eta (noise multiplier) para DDIM",
-    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) para ancestral samplers",
-    "img2img DDIM discretize": "img2img DDIM discretize",
-    "uniform": "uniform",
+    "Sampler parameters": "Parâmetros de Amostragem",
+    "Hide samplers in user interface (requires restart)": "Esconder amostragens na interface de usuário (precisa reiniciar)",
+    "eta (noise multiplier) for DDIM": "tempo estimado (multiplicador de ruído) para DDIM",
+    "eta (noise multiplier) for ancestral samplers": "tempo estimado (multiplicador de ruído) para amostragens ancestrais",
+    "img2img DDIM discretize": "Discretização de img2img DDIM",
+    "uniform": "uniforme",
     "quad": "quad",
     "sigma churn": "sigma churn",
     "sigma tmin": "sigma tmin",
     "sigma noise": "sigma noise",
-    "Eta noise seed delta": "Eta noise seed delta",
+    "Eta noise seed delta": "tempo estimado para ruído seed delta",
     "Request browser notifications": "Solicitar notificações do navegador",
     "Download localization template": "Baixar arquivo modelo de localização",
     "Reload custom script bodies (No ui updates, No restart)": "Recarregar scripts personalizados (Sem atualizar a interface, Sem reiniciar)",
@@ -422,17 +421,17 @@
     "Which algorithm to use to produce the image": "O tipo de algoritmo para gerar imagens.",
     "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - cria mais variações para as imagens em diferentes passos. Mais que 40 passos cancela o efeito.",
     "Denoising Diffusion Implicit Models - Funciona melhor para inpainting.": "Denoising Diffusion Implicit Models - Funciona melhor para inpainting.",
-    "Produce an image that can be tiled.": "Cria uma imagem que emenda nela mesma pelas bordas. Testar em https://www.pycheung.com/checker/.",
+    "Produce an image that can be tiled.": "Produz uma imagem que pode ser ladrilhada.",
     "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Cria um processo em duas etapas, com uma imagem em baixa qualidade primeiro, aumenta a imagem e refina os detalhes sem alterar a composição da imagem",
     "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Quanto o algoritmo deve manter da imagem original. Em 0, nada muda. Em 1 o algoritmo ignora a imagem original. Valores menores que 1.0 demoram mais.",
-    "How many batches of images to create": "Quantas imagens criar em uma leva.",
-    "How many image to create in a single batch": "Quantas levas criar (multiplica o valor pelo Batch count).",
+    "How many batches of images to create": "Quantos lotes de imagens criar",
+    "How many image to create in a single batch": "Quantas imagens criar em um único lote",
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - Quanto maior o valor, mais segue o prompt e quanto menor, menor segue.",
     "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Codigo de geração de uma imagem - criando uma imagem com os mesmos parâmetros e seed trazem o mesmo resultado.",
     "Set seed to -1, which will cause a new random number to be used every time": "Define seed como -1, deixando o valor que vai aparecer como aleatório.",
-    "Reuse seed from last generation, mostly useful if it was randomed": "Reutiliza o seed da última geração",
-    "Seed of a different picture to be mixed into the generation.": "Usar um seed de outra imagem para a geração.",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Qual a variação a ser gerada. Em 0, não tem efeito. Em 1, gera uma imagem completa com a variação de seed, (exceto com samplers a).",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Reutilizar a seed da última geração, útil principalmente se ela foi aleatória",
+    "Seed of a different picture to be mixed into the generation.": "Seed de uma imagem diferente é misturada na geração.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Qual a variação a ser gerada. Em 0, não tem efeito. Em 1, gera uma imagem completa com a variação de seed, (exceto com amostragens a).",
     "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Tenta gerar uma imagem similar ao que teria sido feito com a mesma seed em dimensões especifica.",
     "Separate values for X axis using commas.": "Separa os valores para o eixo X usando vírgulas.",
     "Separate values for Y axis using commas.": "Separa os valores para o eixo Y usando vírgulas.",
@@ -441,31 +440,29 @@
     "How much to blur the mask before processing, in pixels.": "Transição do contorno da máscara, em pixels.",
     "What to put inside the masked area before processing it with Stable Diffusion.":  "O que vai dentro da máscara antes de processar.",
 	"fill it with colors of the image": "Preenche usando as cores da imagem.",
-    "keep whatever was there originally": "Mantem o que estava dentro.",
-    "fill it with latent space noise": "Preenche com ruídos.",
-    "fill it with latent space zeroes": "Preenche com zeros.",
-    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Utiliza o processo de aumentar a imagem e depois reduz a qualidade para preencher a região. Consome mais tempo.",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Se a imagem não for quadrada, estica ela para caber nas dimensões escolhidas.",
-    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Mantém o máximo da imagem dentro das dimensões escolhidas e corta o resto.",
-    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Coloca a imagem inteira dentro das dimensões escolhidas e preenche o espaço vazio.",
+    "keep whatever was there originally": "manter usando o que estava lá originalmente",
+    "fill it with latent space noise": "Preenche com ruídos do espaço latente.",
+    "fill it with latent space zeroes": "Preenche com zeros do espaço latente.",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Faz ampliação na região com máscara para atingir a resolução desejada, faz inpainting, faz downscale para voltar na resolução original e cola na imagem original",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Redimensiona a imagem para a resolução desejada. A menos que a altura e a largura correspondam, você obterá uma proporção incorreta.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Redimensiona a imagem para que toda a resolução desejada seja preenchida com a imagem. Corta as partes que ficaram pra fora.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Redimensiona a imagem para que toda a imagem esteja dentro da resolução desejada. Preenche o espaço vazio com as cores da imagem.",
     "How many times to repeat processing an image and using it as input for the next iteration": "Quantas vezes vai repetir o processamento de uma imagem e usá-la como entrada para a próxima iteração",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Quantas vezes vai reutilizar a imagem para o processo em loop.",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Quantos pixels se sobrepõe durante o aumento da imagem, para garantir que não haverá marcas.",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "No modo de loopback, em cada loop a força do denoise é multiplicado por este valor. <1 significa diminuir a variedade para que sua sequência converta em uma imagem fixa. >1 significa aumentar a variedade para que sua sequência se torne cada vez mais caótica.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Para ampliação SD, quanta sobreposição em pixels deve haver entre os ladrilhos. Os ladrilhos se sobrepõem para que, quando forem mesclados de volta em uma imagem, não haja linhas de junção claramente visível.",
     "A directory on the same machine where the server is running.": "Um diretório na mesma máquina onde o server está rodando.",
-    "Leave blank to save images to the default path.": "Deixar em branco para salvar imagens no diretório padrão.",
+    "Leave blank to save images to the default path.": "Deixar em branco para salvar imagens no caminho padrão.",
     "Result = A * (1 - M) + B * M": "Resultado = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "Resultado = A + (B - C) * M",
     "1st and last digit must be 1. ex:'1, 2, 1'": "Primeiro e último dígito precisam ser 1. ex:'1, 2, 1'",
-    "Path to directory with input images": "Diretório para imagens de entrada",
-    "Path to directory where to write outputs": "Diretório para salvar imagens de saída",
+    "Path to directory with input images": "Caminho para o diretório com imagens de entrada",
+    "Path to directory where to write outputs": "Caminho para o diretório para gravar as saídas",
     "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos arquivos sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrao.",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se esta opção estiver marcada, as imagens não vão ter marca dágua. Aviso: se você não quer a marca dágua, você pode estar se envolvendo em comportamentos antiéticos",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se esta opção estiver marcada, as imagens não vão ter marca d'água. Aviso: se você não quer a marca d'água, você pode estar se envolvendo em comportamentos antiéticos",
     "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos subdiretorios e ghrades sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrao.",
-    "Restore low quality faces using GFPGAN neural network": "Restaurar baixa qualidade de rosto usando a rede neural GFPGAN",
+    "Restore low quality faces using GFPGAN neural network": "Restaurar rostos de baixa qualidade usando a rede neural GFPGAN",
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Esta expressão regular vai retirar palavras do nome do arquivo e vai se juntar usando a opção abaixo em etiquetas usadas em treinamento. Não mexer para manter os nomes como estão.",
-    "This string will be used to join split words into a single line if the option above is enabled.": "Junta palavras separadas em uma linha só.",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nomes de configuração, separados por vírgulas, para configurações que ficam na barra de acesso rápido do topo. Mais detalhes em modules/shared.py para configurações de nomes. Precisa reiniciar o webui-user.bat.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Se o valor não for 0, vai ser adicionado ao seed e usado para gerar ruídos aleatórios quando o sampler tem estimativa de entrega. Isso traz mais variações de imagens ou coincide com imagens de outras aplicações (quando você sabe o que esta fazendo).",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Esta string será usada para unir palavras divididas em uma única linha se a opção acima estiver habilitada.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nomes de configurações, separados por vírgulas, para configurações que devem ir para a barra de acesso rápido na parte superior, em vez da guia de configuração usual. Veja modules/shared.py para nomes de configuração. Necessita reinicialização para aplicar.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Se este valor for diferente de zero, ele será adicionado à seed e usado para inicializar o RNG para ruídos ao usar amostragens com Tempo Estimado. Você pode usar isso para produzir ainda mais variações de imagens ou pode usar isso para combinar imagens de outro software se souber o que está fazendo."
 }
-
-

From b50ff4f4e4d4d6bf31e222832d3fe4cfde4703c9 Mon Sep 17 00:00:00 2001
From: Josh Watzman <github@jwatzman.org>
Date: Thu, 27 Oct 2022 21:59:16 +0100
Subject: [PATCH 250/321] Reduce peak memory usage when changing models

A few tweaks to reduce peak memory usage, the biggest being that if we
aren't using the checkpoint cache, we shouldn't duplicate the model
state dict just to immediately throw it away.

On my machine with 16GB of RAM, this change means I can typically change
models, whereas before it would typically OOM.
---
 modules/sd_models.py | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index e697bb72..203e99a8 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -170,7 +170,9 @@ def load_model_weights(model, checkpoint_info):
             print(f"Global Step: {pl_sd['global_step']}")
 
         sd = get_state_dict_from_checkpoint(pl_sd)
-        missing, extra = model.load_state_dict(sd, strict=False)
+        del pl_sd
+        model.load_state_dict(sd, strict=False)
+        del sd
 
         if shared.cmd_opts.opt_channelslast:
             model.to(memory_format=torch.channels_last)
@@ -194,9 +196,10 @@ def load_model_weights(model, checkpoint_info):
 
         model.first_stage_model.to(devices.dtype_vae)
 
-        checkpoints_loaded[checkpoint_info] = model.state_dict().copy()
-        while len(checkpoints_loaded) > shared.opts.sd_checkpoint_cache:
-            checkpoints_loaded.popitem(last=False)  # LRU
+        if shared.opts.sd_checkpoint_cache > 0:
+            checkpoints_loaded[checkpoint_info] = model.state_dict().copy()
+            while len(checkpoints_loaded) > shared.opts.sd_checkpoint_cache:
+                checkpoints_loaded.popitem(last=False)  # LRU
     else:
         print(f"Loading weights [{sd_model_hash}] from cache")
         checkpoints_loaded.move_to_end(checkpoint_info)

From 4ca4900bd43ecca9069733b91ac44715b6681089 Mon Sep 17 00:00:00 2001
From: Martucci <73501718+M-art-ucci@users.noreply.github.com>
Date: Thu, 27 Oct 2022 18:04:08 -0300
Subject: [PATCH 251/321] Update pt_BR.json

---
 localizations/pt_BR.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/localizations/pt_BR.json b/localizations/pt_BR.json
index d2e01c79..690dd640 100644
--- a/localizations/pt_BR.json
+++ b/localizations/pt_BR.json
@@ -13,7 +13,7 @@
     "txt2img": "txt2img",
     "img2img": "img2img",
     "Extras": "Extras",
-    "PNG Info": "Informações dePNG",
+    "PNG Info": "Informações de PNG",
     "Checkpoint Merger": "Fusão de Checkpoint",
     "Train": "Treinar",
     "Settings": "Configurações",

From d814db1c2552f145fb28018af045d702167d3bcb Mon Sep 17 00:00:00 2001
From: Martucci <73501718+M-art-ucci@users.noreply.github.com>
Date: Thu, 27 Oct 2022 18:09:45 -0300
Subject: [PATCH 252/321] Update pt_BR.json

---
 localizations/pt_BR.json | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/localizations/pt_BR.json b/localizations/pt_BR.json
index 690dd640..49d71edc 100644
--- a/localizations/pt_BR.json
+++ b/localizations/pt_BR.json
@@ -51,7 +51,7 @@
     "PLMS": "PLMS",
     "Width": "Largura",
     "Height": "Altura",
-    "Restore faces": "Restaurar rostoss",
+    "Restore faces": "Restaurar rostos",
     "Tiling": "Ladrilhar",
     "Highres. fix": "Ajuste de alta resolução",
     "Firstpass width": "Primeira Passagem da largura",
@@ -191,9 +191,9 @@
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso do CodeFormer (0 = efeito máximo, 1 = efeito mínimo)",
     "Open output directory": "Abrir diretório de saída",
     "Send to txt2img": "Mandar para txt2img",
-    "A merger of the two checkpoints will be generated in your": "Uma fusão dos dois checkpoints será gerada em seu",
+    "A merger of the two checkpoints will be generated in your": "Uma fusão dos dois checkpoints será gerada em seu ",
     "checkpoint": "checkpoint",
-    "directory.": "diretório.",
+    "directory.": " diretório.",
     "Primary model (A)": "Modelo primário (A)",
     "Secondary model (B)": "Modelo secundário (B)",
     "Tertiary model (C)": "Modelo terciário (C)",

From 403c5dba86f0faac6746df24d16e4d08aab8c9c5 Mon Sep 17 00:00:00 2001
From: Florian Horn <florianins@gmail.com>
Date: Fri, 28 Oct 2022 00:58:18 +0200
Subject: [PATCH 253/321] hide save btn for other tabs than txt2img and img2img

---
 javascript/imageviewer.js | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/javascript/imageviewer.js b/javascript/imageviewer.js
index 3aa3b29e..67916536 100644
--- a/javascript/imageviewer.js
+++ b/javascript/imageviewer.js
@@ -13,6 +13,15 @@ function showModal(event) {
     }
     lb.style.display = "block";
     lb.focus()
+
+    const tabTxt2Img = gradioApp().getElementById("tab_txt2img")
+    const tabImg2Img = gradioApp().getElementById("tab_img2img")
+    // show the save button in modal only on txt2img or img2img tabs
+    if (tabTxt2Img.style.display != "none" || tabImg2Img.style.display != "none") {
+        gradioApp().getElementById("modal_save").style.display = "inline"
+    } else {
+        gradioApp().getElementById("modal_save").style.display = "none"
+    }
     event.stopPropagation()
 }
 
@@ -86,9 +95,9 @@ function saveImage(){
     const tabImg2Img = gradioApp().getElementById("tab_img2img")
     const saveTxt2Img = "save_txt2img"
     const saveImg2Img = "save_img2img"
-    if (tabTxt2Img.style["display"] != "none") {
+    if (tabTxt2Img.style.display != "none") {
         gradioApp().getElementById(saveTxt2Img).click()
-    } else if (tabImg2Img.style["display"] != "none") {
+    } else if (tabImg2Img.style.display != "none") {
         gradioApp().getElementById(saveImg2Img).click()
     } else {
         console.error("missing implementation for saving modal of this type")
@@ -222,6 +231,7 @@ document.addEventListener("DOMContentLoaded", function() {
 
     const modalSave = document.createElement("span")
     modalSave.className = "modalSave cursor"
+    modalSave.id = "modal_save"
     modalSave.innerHTML = "&#x1F5AB;"
     modalSave.addEventListener("click", modalSaveImage, true)
     modalSave.title = "Save Image(s)"

From ccde874974ff8a5dd1ae40d8e9dd4166d166d646 Mon Sep 17 00:00:00 2001
From: benlisquare <benlisquare>
Date: Fri, 28 Oct 2022 13:51:54 +1100
Subject: [PATCH 254/321] adjustments to zh_TW localisation per suggestions by
 snowmeow2

---
 localizations/zh_TW.json | 270 +++++++++++++++++++--------------------
 1 file changed, 135 insertions(+), 135 deletions(-)

diff --git a/localizations/zh_TW.json b/localizations/zh_TW.json
index 0efc7436..724df1ac 100644
--- a/localizations/zh_TW.json
+++ b/localizations/zh_TW.json
@@ -4,8 +4,8 @@
     "×": "×",
     "❮": "❮",
     "❯": "❯",
-    "Loading...": "載入中...",
-    "view": "查看",
+    "Loading...": "載入中…",
+    "view": "檢視",
     "api": "api",
     "•": "•",
     "built with gradio": "基於 Gradio 構建",
@@ -13,7 +13,7 @@
     "txt2img": "文生圖",
     "img2img": "圖生圖",
     "Extras": "後處理",
-    "PNG Info": "PNG 信息",
+    "PNG Info": "PNG 資訊",
     "Checkpoint Merger": "模型權重存檔點合併工具",
     "Train": "訓練",
     "Create aesthetic embedding": "生成美術風格 embedding",
@@ -22,7 +22,7 @@
     "Settings": "設定",
     "Prompt": "提示詞",
     "Negative prompt": "反向提示詞",
-    "Run": "運行",
+    "Run": "執行",
     "Skip": "跳過",
     "Interrupt": "中止",
     "Generate": "生成",
@@ -30,14 +30,14 @@
     "Style 2": "模版風格 2",
     "Label": "標籤",
     "File": "檔案",
-    "Drop File Here": "拖拽檔案到此",
+    "Drop File Here": "拖曳檔案到此",
     "-": "-",
     "or": "或",
-    "Click to Upload": "點擊上載",
+    "Click to Upload": "點擊上傳",
     "Image": "圖像",
-    "Check progress": "查看進度",
-    "Check progress (first)": "(首次)查看進度",
-    "Sampling Steps": "採樣迭代步數",
+    "Check progress": "檢視進度",
+    "Check progress (first)": "（首次）檢視進度",
+    "Sampling Steps": "採樣疊代步數",
     "Sampling method": "採樣方法",
     "Euler a": "Euler a",
     "Euler": "Euler",
@@ -62,7 +62,7 @@
     "Denoising strength": "去噪強度",
     "Batch count": "批次",
     "Batch size": "批量",
-    "CFG Scale": "提示詞相關性(CFG)",
+    "CFG Scale": "提示詞相關性（CFG）",
     "Seed": "隨機種子",
     "Extra": "額外參數",
     "Variation seed": "差異隨機種子",
@@ -72,7 +72,7 @@
     "Open for Clip Aesthetic!": "打開美術風格 Clip!",
     "▼": "▼",
     "Aesthetic weight": "美術風格權重",
-    "Aesthetic steps": "美術風格迭代步數",
+    "Aesthetic steps": "美術風格疊代步數",
     "Aesthetic learning rate": "美術風格學習率",
     "Slerp interpolation": "Slerp 插值",
     "Aesthetic imgs embedding": "美術風格圖集 embedding",
@@ -80,22 +80,22 @@
     "Aesthetic text for imgs": "該圖集的美術風格描述",
     "Slerp angle": "Slerp 角度",
     "Is negative text": "是反向提示詞",
-    "Script": "腳本",
+    "Script": "指令碼",
     "Embedding to Shareable PNG": "將 Embedding 轉換為可分享的 PNG",
     "Prompt matrix": "提示詞矩陣",
-    "Prompts from file or textbox": "從文本框或檔案載入提示詞",
+    "Prompts from file or textbox": "從文字方塊或檔案載入提示詞",
     "X/Y plot": "X/Y 圖表",
     "Source embedding to convert": "用於轉換的源 Embedding",
     "Embedding token": "Embedding 的關鍵詞",
     "Put variable parts at start of prompt": "把變量部分放在提示詞文本的開頭",
-    "Show Textbox": "顯示文本框",
+    "Show Textbox": "顯示文字方塊",
     "File with inputs": "含輸入內容的檔案",
     "Prompts": "提示詞",
     "X type": "X軸類型",
     "Nothing": "無",
     "Var. seed": "差異隨機種子",
     "Var. strength": "差異強度",
-    "Steps": "迭代步數",
+    "Steps": "疊代步數",
     "Prompt S/R": "提示詞替換",
     "Prompt order": "提示詞順序",
     "Sampler": "採樣器",
@@ -115,13 +115,13 @@
     "Draw legend": "在圖表中包括軸標題",
     "Include Separate Images": "包括獨立的圖像",
     "Keep -1 for seeds": "保持隨機種子為-1",
-    "Drop Image Here": "拖拽圖像到此",
-    "Save": "保存",
+    "Drop Image Here": "拖曳圖像到此",
+    "Save": "儲存",
     "Send to img2img": ">> 圖生圖",
     "Send to inpaint": ">> 內補繪製",
     "Send to extras": ">> 後處理",
-    "Make Zip when Save?": "保存時生成ZIP壓縮檔案?",
-    "Textbox": "文本框",
+    "Make Zip when Save?": "儲存時生成ZIP壓縮檔案？",
+    "Textbox": "文字方塊",
     "Interrogate\nCLIP": "CLIP\n反推提示詞",
     "Interrogate\nDeepBooru": "DeepBooru\n反推提示詞",
     "Inpaint": "內補繪製",
@@ -132,7 +132,7 @@
     "Mask blur": "蒙版模糊",
     "Mask mode": "蒙版模式",
     "Draw mask": "繪製蒙版",
-    "Upload mask": "上載蒙版",
+    "Upload mask": "上傳蒙版",
     "Masking mode": "蒙版模式",
     "Inpaint masked": "內補繪製蒙版內容",
     "Inpaint not masked": "內補繪製非蒙版內容",
@@ -142,7 +142,7 @@
     "latent noise": "潛空間噪聲",
     "latent nothing": "潛空間數值零",
     "Inpaint at full resolution": "以完整解析度進行內補繪製",
-    "Inpaint at full resolution padding, pixels": "以完整解析度進行內補繪製 - 填補畫素",
+    "Inpaint at full resolution padding, pixels": "以完整解析度進行內補繪製 — 填補畫素",
     "Process images in a directory on the same machine where the server is running.": "在伺服器主機上的目錄中處理圖像",
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "指定一個空的資料夾為輸出目錄而非預設的 output 資料夾為輸出目錄",
     "Disabled when launched with --hide-ui-dir-config.": "啟動 --hide-ui-dir-config 時禁用",
@@ -158,30 +158,30 @@
     "Poor man's outpainting": "效果稍差的外補繪製",
     "SD upscale": "使用 SD 放大",
     "should be 2 or lower.": "必須小於等於2",
-    "Override `Sampling method` to Euler?(this method is built for it)": "覆寫「採樣方法」為 Euler?(這個方法就是為這樣做設計的)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆寫「提示詞」為「初始提示詞」?(包括「反向提示詞」)",
+    "Override `Sampling method` to Euler?(this method is built for it)": "覆寫「採樣方法」為 Euler？（這個方法就是為這樣做設計的）",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "覆寫「提示詞」為「初始提示詞」？（包括「反向提示詞」）",
     "Original prompt": "初始提示詞",
     "Original negative prompt": "初始反向提示詞",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "覆寫「採樣迭代步數」為「解碼迭代步數」?",
-    "Decode steps": "解碼迭代步數",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "覆寫「採樣疊代步數」為「解碼疊代步數」？",
+    "Decode steps": "解碼疊代步數",
     "Override `Denoising strength` to 1?": "覆寫「去噪強度」為1?",
-    "Decode CFG scale": "解碼提示詞相關性(CFG)",
+    "Decode CFG scale": "解碼提示詞相關性（CFG）",
     "Randomness": "隨機度",
     "Sigma adjustment for finding noise for image": "為尋找圖中噪點的 Sigma 調整",
-    "Loops": "迭代次數",
+    "Loops": "疊代次數",
     "Denoising strength change factor": "去噪強度的調整係數",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推薦設定：採樣迭代步數：80-100，採樣器：Euler a，去噪強度：0.8",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "推薦設定：採樣疊代步數：80-100，採樣器：Euler a，去噪強度：0.8",
     "Pixels to expand": "拓展的畫素數",
     "Outpainting direction": "外補繪製的方向",
     "left": "左",
     "right": "右",
     "up": "上",
     "down": "下",
-    "Fall-off exponent (lower=higher detail)": "衰減指數(越低細節越好)",
+    "Fall-off exponent (lower=higher detail)": "衰減指數（越低細節越好）",
     "Color variation": "色彩變化",
     "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "將圖像放大到兩倍尺寸； 使用寬度和高度滑塊設定圖塊尺寸",
     "Tile overlap": "圖塊重疊的畫素",
-    "Upscaler": "放大算法",
+    "Upscaler": "放大演算法",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
     "BSRGAN 4x": "BSRGAN 4x",
@@ -199,11 +199,11 @@
     "Scale to": "指定尺寸縮放",
     "Resize": "縮放",
     "Crop to fit": "裁剪以適應",
-    "Upscaler 2": "放大算法 2",
-    "Upscaler 2 visibility": "放大算法 2 可見度",
+    "Upscaler 2": "放大演算法 2",
+    "Upscaler 2 visibility": "放大演算法 2 可見度",
     "GFPGAN visibility": "GFPGAN 可見度",
     "CodeFormer visibility": "CodeFormer 可見度",
-    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 權重 (0 = 最大效果, 1 = 最小效果)",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer 權重 （0 = 最大效果， 1 = 最小效果）",
     "Open output directory": "打開輸出目錄",
     "Send to txt2img": ">> 文生圖",
     "A merger of the two checkpoints will be generated in your": "合併後的模型權重存檔點會生成在你的",
@@ -212,13 +212,13 @@
     "Primary model (A)": "主要模型 (A)",
     "Secondary model (B)": "第二模型 (B)",
     "Tertiary model (C)": "第三模型 (C)",
-    "Custom Name (Optional)": "自定義名稱 (可選)",
+    "Custom Name (Optional)": "自訂名稱 （可選）",
     "Multiplier (M) - set to 0 to get model A": "倍率 (M) - 設為 0 等價於模型 A",
     "Interpolation Method": "插值方法",
     "Weighted sum": "加權和",
-    "Add difference": "添加差分",
+    "Add difference": "加入差分",
     "Save as float16": "以 float16 儲存",
-    "See": "查看",
+    "See": "檢視",
     "wiki": "wiki",
     "for detailed explanation.": "以了解詳細說明",
     "Create embedding": "生成 embedding",
@@ -229,7 +229,7 @@
     "Initialization text": "初始化文字",
     "Number of vectors per token": "每個 token 的向量數",
     "Overwrite Old Embedding": "覆寫舊的 Embedding",
-    "Modules": "模塊",
+    "Modules": "模組",
     "Enter hypernetwork layer structure": "輸入 hypernetwork 層結構",
     "Select activation function of hypernetwork": "選擇 hypernetwork 的激活函數",
     "linear": "linear",
@@ -237,10 +237,10 @@
     "leakyrelu": "leakyrelu",
     "elu": "elu",
     "swish": "swish",
-    "Add layer normalization": "添加層標準化",
+    "Add layer normalization": "加入層標準化",
     "Use dropout": "採用 dropout 防止過擬合",
     "Overwrite Old Hypernetwork": "覆寫舊的 Hypernetwork",
-    "Source directory": "源目錄",
+    "Source directory": "來源目錄",
     "Destination directory": "目標目錄",
     "Existing Caption txt Action": "對已有的TXT說明文字的行為",
     "ignore": "無視",
@@ -250,8 +250,8 @@
     "Create flipped copies": "生成鏡像副本",
     "Split oversized images into two": "將過大的圖像分為兩份",
     "Split oversized images": "分割過大的圖像",
-    "Use BLIP for caption": "使用 BLIP 生成說明文字(自然語言描述)",
-    "Use deepbooru for caption": "使用 deepbooru 生成說明文字(標籤)",
+    "Use BLIP for caption": "使用 BLIP 生成說明文字（自然語言描述）",
+    "Use deepbooru for caption": "使用 deepbooru 生成說明文字（標籤）",
     "Split image threshold": "圖像分割閾值",
     "Split image overlap ratio": "分割圖像重疊的比率",
     "Preprocess": "預處理",
@@ -262,17 +262,17 @@
     "Embedding Learning rate": "Embedding 學習率",
     "Hypernetwork Learning rate": "Hypernetwork 學習率",
     "Learning rate": "學習率",
-    "Dataset directory": "數據集目錄",
+    "Dataset directory": "資料集目錄",
     "Log directory": "日誌目錄",
     "Prompt template file": "提示詞模版檔案",
-    "Max steps": "最大迭代步數",
-    "Save an image to log directory every N steps, 0 to disable": "每 N 步保存一個圖像到日誌目錄，0 表示禁用",
-    "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步將 embedding 的副本保存到日誌目錄，0 表示禁用",
-    "Save images with embedding in PNG chunks": "保存圖像並在 PNG 檔案中嵌入 embedding 檔案",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "進行預覽時從文生圖選項卡中讀取參數（提示詞等）",
+    "Max steps": "最大疊代步數",
+    "Save an image to log directory every N steps, 0 to disable": "每 N 步儲存一個圖像到日誌目錄，0 表示禁用",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "每 N 步將 embedding 的副本儲存到日誌目錄，0 表示禁用",
+    "Save images with embedding in PNG chunks": "儲存圖像並在 PNG 檔案中嵌入 embedding 檔案",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "進行預覽時從文生圖頁籤中讀取參數（提示詞等）",
     "Train Hypernetwork": "訓練 Hypernetwork",
     "Train Embedding": "訓練 Embedding",
-    "Create an aesthetic embedding out of any number of images": "從任意數量的圖像中創建美術風格 embedding",
+    "Create an aesthetic embedding out of any number of images": "從任意數量的圖像中建立美術風格 embedding",
     "Create images embedding": "生成圖集 embedding",
     "txt2img history": "文生圖歷史記錄",
     "img2img history": "圖生圖歷史記錄",
@@ -280,7 +280,7 @@
     "Renew Page": "刷新頁面",
     "extras": "後處理",
     "favorites": "收藏夾",
-    "custom fold": "自定義資料夾",
+    "custom fold": "自訂資料夾",
     "Load": "載入",
     "Images directory": "圖像目錄",
     "Prev batch": "上一批",
@@ -292,7 +292,7 @@
     "End Page": "尾頁",
     "number of images to delete consecutively next": "接下來要連續刪除的圖像數",
     "Delete": "刪除",
-    "Generate Info": "生成信息",
+    "Generate Info": "生成資訊",
     "File Name": "檔案名",
     "Collect": "收藏",
     "Refresh page": "刷新頁面",
@@ -300,26 +300,26 @@
     "Number": "數量",
     "set_index": "設定索引",
     "Checkbox": "核取方塊",
-    "Apply settings": "保存設定",
-    "Saving images/grids": "保存圖像/概覽圖",
-    "Always save all generated images": "始終保存所有生成的圖像",
+    "Apply settings": "儲存設定",
+    "Saving images/grids": "儲存圖像／概覽圖",
+    "Always save all generated images": "始終儲存所有生成的圖像",
     "File format for images": "圖像的檔案格式",
     "Images filename pattern": "圖像檔案名格式",
-    "Always save all generated image grids": "始終保存所有生成的概覽圖",
+    "Always save all generated image grids": "始終儲存所有生成的概覽圖",
     "File format for grids": "概覽圖的檔案格式",
-    "Add extended info (seed, prompt) to filename when saving grid": "保存概覽時將擴展信息（隨機種子、提示詞）添加到檔案名",
-    "Do not save grids consisting of one picture": "只有一張圖片時不要保存概覽圖",
+    "Add extended info (seed, prompt) to filename when saving grid": "儲存概覽時將擴展資訊（隨機種子，提示詞）加入到檔案名",
+    "Do not save grids consisting of one picture": "只有一張圖片時不要儲存概覽圖",
     "Prevent empty spots in grid (when set to autodetect)": "（在自動檢測時）防止概覽圖中出現空位",
     "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "概覽行數； 使用 -1 進行自動檢測，使用 0 使其與批量大小相同",
-    "Save text information about generation parameters as chunks to png files": "將有關生成參數的文本信息作為塊保存到PNG檔案中",
-    "Create a text file next to every image with generation parameters.": "保存圖像時在每個圖像旁邊創建一個文本檔案儲存生成參數",
-    "Save a copy of image before doing face restoration.": "在進行面部修復之前保存圖像副本",
-    "Quality for saved jpeg images": "保存的JPEG圖像的質量",
-    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 圖像大於 4MB 或寬高大於 4000，則縮小並保存副本為 JPG",
-    "Use original name for output filename during batch process in extras tab": "在後處理選項卡中的批量處理過程中使用原始名稱作為輸出檔案名",
-    "When using 'Save' button, only save a single selected image": "使用「保存」按鈕時，只保存一個選定的圖像",
-    "Do not add watermark to images": "不要給圖像加水印",
-    "Paths for saving": "保存路徑",
+    "Save text information about generation parameters as chunks to png files": "將有關生成參數的文本資訊作為塊儲存到PNG檔案中",
+    "Create a text file next to every image with generation parameters.": "儲存圖像時在每個圖像旁邊建立一個文本檔案儲存生成參數",
+    "Save a copy of image before doing face restoration.": "在進行面部修復之前儲存圖像副本",
+    "Quality for saved jpeg images": "儲存的JPEG圖像的品質",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "如果 PNG 圖像大於 4MB 或寬高大於 4000，則縮小並儲存副本為 JPG",
+    "Use original name for output filename during batch process in extras tab": "在後處理頁籤中的批量處理過程中使用原始名稱作為輸出檔案名",
+    "When using 'Save' button, only save a single selected image": "使用「儲存」按鈕時，只儲存一個選定的圖像",
+    "Do not add watermark to images": "不要給圖像加浮水印",
+    "Paths for saving": "儲存路徑",
     "Output directory for images; if empty, defaults to three directories below": "圖像的輸出目錄； 如果為空，則預設為以下三個目錄",
     "Output directory for txt2img images": "文生圖的輸出目錄",
     "Output directory for img2img images": "圖生圖的輸出目錄",
@@ -327,119 +327,119 @@
     "Output directory for grids; if empty, defaults to two directories below": "概覽圖的輸出目錄； 如果為空，則預設為以下兩個目錄",
     "Output directory for txt2img grids": "文生圖概覽的輸出目錄",
     "Output directory for img2img grids": "圖生圖概覽的輸出目錄",
-    "Directory for saving images using the Save button": "使用「保存」按鈕保存圖像的目錄",
-    "Saving to a directory": "保存到目錄",
-    "Save images to a subdirectory": "將圖像保存到子目錄",
-    "Save grids to a subdirectory": "將概覽圖保存到子目錄",
-    "When using \"Save\" button, save images to a subdirectory": "使用「保存」按鈕時，將圖像保存到子目錄",
+    "Directory for saving images using the Save button": "使用「儲存」按鈕儲存圖像的目錄",
+    "Saving to a directory": "儲存到目錄",
+    "Save images to a subdirectory": "將圖像儲存到子目錄",
+    "Save grids to a subdirectory": "將概覽圖儲存到子目錄",
+    "When using \"Save\" button, save images to a subdirectory": "使用「儲存」按鈕時，將圖像儲存到子目錄",
     "Directory name pattern": "目錄名稱格式",
     "Max prompt words for [prompt_words] pattern": "[prompt_words] 格式的最大提示詞數量",
     "Upscaling": "放大",
     "Tile size for ESRGAN upscalers. 0 = no tiling.": "ESRGAN 的圖塊尺寸。0 = 不分塊",
     "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "ESRGAN 的圖塊重疊畫素。低值 = 可見接縫",
-    "Tile size for all SwinIR.": "適用所有 SwinIR 系算法的圖塊尺寸",
+    "Tile size for all SwinIR.": "適用所有 SwinIR 系演算法的圖塊尺寸",
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "SwinIR 的圖塊重疊畫素。低值 = 可見接縫",
-    "LDSR processing steps. Lower = faster": "LDSR 處理迭代步數。更低 = 更快",
-    "Upscaler for img2img": "圖生圖的放大算法",
+    "LDSR processing steps. Lower = faster": "LDSR 處理疊代步數。更低 = 更快",
+    "Upscaler for img2img": "圖生圖的放大演算法",
     "Upscale latent space image when doing hires. fix": "做高解析度修復時也放大潛空間圖像",
     "Face restoration": "面部修復",
     "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 權重參數； 0 = 最大效果； 1 = 最小效果",
-    "Move face restoration model from VRAM into RAM after processing": "面部修復處理完成後將面部修復模型從顯存(VRAM)移至內存(RAM)",
+    "Move face restoration model from VRAM into RAM after processing": "面部修復處理完成後將面部修復模型從顯存（VRAM）移至內存（RAM）",
     "System": "系統",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成圖像時每秒輪詢顯存(VRAM)使用情況的次數。設定為 0 以禁用",
-    "Always print all generation info to standard output": "始終將所有生成信息輸出到 standard output (一般為控制台)",
-    "Add a second progress bar to the console that shows progress for an entire job.": "向控制台添加第二個進度列，顯示整個作業的進度",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "生成圖像時每秒輪詢顯存（VRAM）使用情況的次數。設定為 0 以禁用",
+    "Always print all generation info to standard output": "始終將所有生成資訊輸出到 standard output （一般為控制台）",
+    "Add a second progress bar to the console that shows progress for an entire job.": "向控制台加入第二個進度列，顯示整個作業的進度",
     "Training": "訓練",
-    "Unload VAE and CLIP from VRAM when training": "訓練時從顯存(VRAM)中取消 VAE 和 CLIP 的加載",
-    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "訓練時將 VAE 和 CLIP 從顯存(VRAM)移放到內存(RAM)，節省顯存(VRAM)",
+    "Unload VAE and CLIP from VRAM when training": "訓練時從顯存（VRAM）中取消 VAE 和 CLIP 的載入",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "訓練時將 VAE 和 CLIP 從顯存（VRAM）移放到內存（RAM），節省顯存（VRAM）",
     "Filename word regex": "檔案名用詞的正則表達式",
-    "Filename join string": "檔案名連接用字符串",
+    "Filename join string": "檔案名連接用字串",
     "Number of repeats for a single input image per epoch; used only for displaying epoch number": "每個 epoch 中單個輸入圖像的重複次數； 僅用於顯示 epoch 數",
-    "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步保存一個包含 loss 的CSV到日誌目錄，0 表示禁用",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "每 N 步儲存一個包含 loss 的CSV到日誌目錄，0 表示禁用",
     "Stable Diffusion": "Stable Diffusion",
-    "Checkpoints to cache in RAM": "緩存在內存(RAM)中的模型權重存檔點",
+    "Checkpoints to cache in RAM": "快取在內存（RAM）中的模型權重存檔點",
     "Hypernetwork strength": "Hypernetwork 強度",
-    "Apply color correction to img2img results to match original colors.": "對圖生圖結果應用顏色校正以匹配原始顏色",
-    "Save a copy of image before applying color correction to img2img results": "在對圖生圖結果應用顏色校正之前保存圖像副本",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在進行圖生圖的時候，確切地執行滑塊指定的迭代步數（正常情況下更弱的去噪需要更少的迭代步數）",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 採樣器中啟用量化以獲得更清晰、更清晰的結果。這可能會改變現有的隨機種子。需要重新啟動才能應用",
+    "Apply color correction to img2img results to match original colors.": "對圖生圖結果套用顏色校正以匹配原始顏色",
+    "Save a copy of image before applying color correction to img2img results": "在對圖生圖結果套用顏色校正之前儲存圖像副本",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "在進行圖生圖的時候，確切地執行滑塊指定的疊代步數（正常情況下更弱的去噪需要更少的疊代步數）",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "在 K 採樣器中啟用量化以獲得更清晰，更清晰的結果。這可能會改變現有的隨機種子。需要重新啟動才能套用",
     "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "強調符：使用 (文字) 使模型更關注該文本，使用 [文字] 使其減少關注",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用舊的強調符實現。可用於復現舊隨機種子",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "使用舊的強調符實作。可用於復現舊隨機種子",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "使 K-diffusion 採樣器批量生成與生成單個圖像時產出相同的圖像",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "當使用超過 75 個 token 時，通過從 n 個 token 中的最後一個逗號填補來提高一致性",
     "Filter NSFW content": "過濾成人內容",
     "Stop At last layers of CLIP model": "在 CLIP 模型的最後哪一層停下",
     "Interrogate Options": "反推提示詞選項",
-    "Interrogate: keep models in VRAM": "反推: 將模型保存在顯存(VRAM)中",
-    "Interrogate: use artists from artists.csv": "反推: 使用 artists.csv 中的藝術家",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "反推: 在生成結果中包含與模型標籤相匹配的等級（對基於生成自然語言描述的反推沒有影響）",
-    "Interrogate: num_beams for BLIP": "反推: BLIP 的 num_beams",
-    "Interrogate: minimum description length (excluding artists, etc..)": "反推: 最小描述長度（不包括藝術家, 等…）",
-    "Interrogate: maximum description length": "反推: 最大描述長度",
-    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: 文本檔案中的最大行數（0 = 無限制）",
-    "Interrogate: deepbooru score threshold": "反推: deepbooru 分數閾值",
-    "Interrogate: deepbooru sort alphabetically": "反推: deepbooru 按字母順序排序",
+    "Interrogate: keep models in VRAM": "反推： 將模型儲存在顯存（VRAM）中",
+    "Interrogate: use artists from artists.csv": "反推： 使用 artists.csv 中的藝術家",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "反推： 在生成結果中包含與模型標籤相匹配的等級（對基於生成自然語言描述的反推沒有影響）",
+    "Interrogate: num_beams for BLIP": "反推： BLIP 的 num_beams",
+    "Interrogate: minimum description length (excluding artists, etc..)": "反推： 最小描述長度（不包括藝術家, 等…）",
+    "Interrogate: maximum description length": "反推： 最大描述長度",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP： 文本檔案中的最大行數（0 = 無限制）",
+    "Interrogate: deepbooru score threshold": "反推： deepbooru 分數閾值",
+    "Interrogate: deepbooru sort alphabetically": "反推： deepbooru 按字母順序排序",
     "use spaces for tags in deepbooru": "在 deepbooru 中為標籤使用空格",
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "在 deepbooru 中使用轉義 (\\) 括號（因此它們用作文字括號而不是強調符號）",
-    "User interface": "用戶界面",
+    "User interface": "使用者介面",
     "Show progressbar": "顯示進度列",
-    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 個採樣迭代步數顯示圖像生成進度。設定 0 禁用",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "每 N 個採樣疊代步數顯示圖像生成進度。設定 0 禁用",
     "Show previews of all images generated in a batch as a grid": "以網格的形式預覽所有批量生成出來的圖像",
     "Show grid in results for web": "在網頁的結果中顯示概覽圖",
     "Do not show any images in results for web": "不在網頁的結果中顯示任何圖像",
-    "Add model hash to generation information": "將模型的雜湊值添加到生成信息",
-    "Add model name to generation information": "將模型名稱添加到生成信息",
-    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "當從文本讀取生成參數到 UI（從 PNG 信息或粘貼文本）時，不要更改選定的模型權重存檔點",
+    "Add model hash to generation information": "將模型的雜湊值加入到生成資訊",
+    "Add model name to generation information": "將模型名稱加入到生成資訊",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "當從文本讀取生成參數到 UI（從 PNG 資訊或粘貼文本）時，不要更改選定的模型權重存檔點",
     "Font for image grids that have text": "有文字的概覽圖使用的字體",
-    "Enable full page image viewer": "啟用整頁圖像查看器",
-    "Show images zoomed in by default in full page image viewer": "在整頁圖像查看器中預設放大顯示圖像",
-    "Show generation progress in window title.": "在窗口標題中顯示生成進度",
+    "Enable full page image viewer": "啟用整頁圖像檢視器",
+    "Show images zoomed in by default in full page image viewer": "在整頁圖像檢視器中預設放大顯示圖像",
+    "Show generation progress in window title.": "在視窗標題中顯示生成進度",
     "Quicksettings list": "快速設定列表",
     "Localization (requires restart)": "本地化（需要重新啟動）",
     "Sampler parameters": "採樣器參數",
-    "Hide samplers in user interface (requires restart)": "在用戶界面中隱藏採樣器（需要重新啟動）",
-    "eta (noise multiplier) for DDIM": "DDIM 的 eta (噪聲乘數) ",
-    "eta (noise multiplier) for ancestral samplers": "ancestral 採樣器的 eta (噪聲乘數)",
+    "Hide samplers in user interface (requires restart)": "在使用者介面中隱藏採樣器（需要重新啟動）",
+    "eta (noise multiplier) for DDIM": "DDIM 的 eta （噪聲乘數）",
+    "eta (noise multiplier) for ancestral samplers": "ancestral 採樣器的 eta （噪聲乘數）",
     "img2img DDIM discretize": "圖生圖 DDIM 離散化",
     "uniform": "均勻",
     "quad": "二階",
     "sigma churn": "sigma churn",
     "sigma tmin": "最小(tmin) sigma",
     "sigma noise": "sigma 噪聲",
-    "Eta noise seed delta": "Eta 噪聲種子偏移(noise seed delta)",
+    "Eta noise seed delta": "Eta 噪聲種子偏移（noise seed delta）",
     "Images Browser": "圖庫瀏覽器",
     "Preload images at startup": "在啟動時預載圖像",
     "Number of columns on the page": "每頁列數",
     "Number of rows on the page": "每頁行數",
     "Number of pictures displayed on each page": "每頁顯示的圖像數量",
-    "Minimum number of pages per load": "每次加載的最小頁數",
+    "Minimum number of pages per load": "每次載入的最小頁數",
     "Number of grids in each row": "每行顯示多少格",
-    "Wildcards": "通配符",
+    "Wildcards": "萬用字元",
     "Use same seed for all images": "為所有圖像使用同一個隨機種子",
     "Request browser notifications": "請求瀏覽器通知",
     "Download localization template": "下載本地化模板",
-    "Reload custom script bodies (No ui updates, No restart)": "重新加載自定義腳本主體（無UI更新，無重啟）",
-    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重啟 Gradio 及刷新組件（僅限自定義腳本、ui.py、JS 和 CSS）",
+    "Reload custom script bodies (No ui updates, No restart)": "重新載入自訂指令碼主體（無UI更新，無重啟）",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "重啟 Gradio 及刷新組件（僅限自訂指令碼，ui.py，JS 和 CSS）",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "提示詞（按 Ctrl+Enter 或 Alt+Enter 生成）",
     "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "反向提示詞（按 Ctrl+Enter 或 Alt+Enter 生成）",
-    "Add a random artist to the prompt.": "隨機添加一個藝術家到提示詞中",
-    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "從提示詞中讀取生成參數，如果提示詞為空，則讀取上一次的生成參數到用戶界面",
+    "Add a random artist to the prompt.": "隨機加入一個藝術家到提示詞中",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "從提示詞中讀取生成參數，如果提示詞為空，則讀取上一次的生成參數到使用者介面",
     "Save style": "存儲為模板風格",
-    "Apply selected styles to current prompt": "將所選樣式應用於當前提示",
+    "Apply selected styles to current prompt": "將所選樣式套用於當前提示",
     "Stop processing current image and continue processing.": "停止處理當前圖像並繼續處理下一個",
     "Stop processing images and return any results accumulated so far.": "停止處理圖像並返回迄今為止累積的任何結果",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要應用的模版風格； 模版風格包含正向和反向提示詞，並應用於兩者",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "要套用的模版風格； 模版風格包含正向和反向提示詞，並套用於兩者",
     "Do not do anything special": "什麼都不做",
-    "Which algorithm to use to produce the image": "使用哪種算法生成圖像",
-    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有創意，可以根據迭代步數獲得完全不同的圖像，將迭代步數設定為高於 30-40 不會有正面作用",
+    "Which algorithm to use to produce the image": "使用哪種演算法生成圖像",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 非常有創意，可以根據疊代步數獲得完全不同的圖像，將疊代步數設定為高於 30-40 不會有正面作用",
     "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit models - 最擅長內補繪製",
     "Produce an image that can be tiled.": "生成可用於平舖的圖像",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用兩步處理的時候以較小的解析度生成初步圖像、接著放大圖像，然後在不更改構圖的情況下改進其中的細節",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "決定算法對圖像內容的影響程度。設定 0 時，什麼都不會改變，而在 1 時，你將獲得不相關的圖像。值低於 1.0 時，處理的迭代步數將少於「採樣迭代步數」滑塊指定的步數",
-    "How many batches of images to create": "創建多少批次的圖像",
-    "How many image to create in a single batch": "每批創建多少圖像",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "使用兩步處理的時候以較小的解析度生成初步圖像，接著放大圖像，然後在不更改構圖的情況下改進其中的細節",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "決定演算法對圖像內容的影響程度。設定 0 時，什麼都不會改變，而在 1 時，你將獲得不相關的圖像。值低於 1.0 時，處理的疊代步數將少於「採樣疊代步數」滑塊指定的步數",
+    "How many batches of images to create": "建立多少批次的圖像",
+    "How many image to create in a single batch": "每批建立多少圖像",
     "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - 圖像應在多大程度上服從提示詞 - 較低的值會產生更有創意的結果",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一個固定隨機數生成器輸出的值 - 以相同參數和隨機種子生成的圖像會得到相同的結果",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "一個固定隨機數生成器輸出的值 — 以相同參數和隨機種子生成的圖像會得到相同的結果",
     "Set seed to -1, which will cause a new random number to be used every time": "將隨機種子設定為-1，則每次都會使用一個新的隨機數",
     "Reuse seed from last generation, mostly useful if it was randomed": "重用上一次使用的隨機種子，如果想要固定結果就會很有用",
     "Seed of a different picture to be mixed into the generation.": "將要參與生成的另一張圖的隨機種子",
@@ -448,7 +448,7 @@
     "This text is used to rotate the feature space of the imgs embs": "此文本用於旋轉圖集 embeddings 的特徵空間",
     "Separate values for X axis using commas.": "使用逗號分隔 X 軸的值",
     "Separate values for Y axis using commas.": "使用逗號分隔 Y 軸的值",
-    "Write image to a directory (default - log/images) and generation parameters into csv file.": "將圖像寫入目錄（預設 - log/images）並將生成參數寫入CSV檔案",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "將圖像寫入目錄（預設 — log/images）並將生成參數寫入CSV檔案",
     "Open images output directory": "打開圖像輸出目錄",
     "How much to blur the mask before processing, in pixels.": "處理前要對蒙版進行多強的模糊，以畫素為單位",
     "What to put inside the masked area before processing it with Stable Diffusion.": "在使用 Stable Diffusion 處理蒙版區域之前要在蒙版區域內放置什麼",
@@ -460,26 +460,26 @@
     "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "將圖像大小調整為目標解析度。除非高度和寬度匹配，否則你將獲得不正確的縱橫比",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "調整圖像大小，使整個目標解析度都被圖像填充。裁剪多出來的部分",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "調整圖像大小，使整個圖像在目標解析度內。用圖像的顏色填充空白區域",
-    "How many times to repeat processing an image and using it as input for the next iteration": "重複處理圖像並用作下次迭代輸入的次數",
+    "How many times to repeat processing an image and using it as input for the next iteration": "重複處理圖像並用作下次疊代輸入的次數",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "在回送模式下，在每個循環中，去噪強度都會乘以該值。<1 表示減少多樣性，因此你的這一組圖將集中在固定的圖像上。>1 意味著增加多樣性，因此你的這一組圖將變得越來越混亂",
     "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "使用 SD 放大時，圖塊之間應該有多少畫素重疊。圖塊之間需要重疊才可以讓它們在合併回一張圖像時，沒有清晰可見的接縫",
     "A directory on the same machine where the server is running.": "與伺服器主機上的目錄",
-    "Leave blank to save images to the default path.": "留空以將圖像保存到預設路徑",
+    "Leave blank to save images to the default path.": "留空以將圖像儲存到預設路徑",
     "Result = A * (1 - M) + B * M": "結果 = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "結果 = A + (B - C) * M",
-    "1st and last digit must be 1. ex:'1, 2, 1'": "第一個和最後一個數字必須是 1。例:'1, 2, 1'",
-    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "訓練應該多快。低值將需要更長的時間來訓練，高值可能無法收斂（無法產生準確的結果）以及/也許可能會破壞 embedding（如果你在訓練信息文本框中看到 Loss: nan 就會發生這種情況。如果發生這種情況，你需要從較舊的未損壞的備份手動恢復 embedding）\n\n你可以使用以下語法設定單個數值或多個學習率：\n\n   率1:步限1, 率2:步限2, ...\n\n如:   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步將以 0.005 的速率訓練，接著直到 1000 步為止以 1e-3 訓練，然後剩餘所有步以 1e-5 訓練",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "第一個和最後一個數字必須是 1。例：'1, 2, 1'",
+    "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.": "訓練應該多快。低值將需要更長的時間來訓練，高值可能無法收斂（無法產生準確的結果）以及／也許可能會破壞 embedding（如果你在訓練資訊文字方塊中看到 Loss: nan 就會發生這種情況。如果發生這種情況，你需要從較舊的未損壞的備份手動恢復 embedding）\n\n你可以使用以下語法設定單個數值或多個學習率：\n\n   率1:步限1, 率2:步限2, …\n\n如：   0.005:100, 1e-3:1000, 1e-5\n\n即前 100 步將以 0.005 的速率訓練，接著直到 1000 步為止以 1e-3 訓練，然後剩餘所有步以 1e-5 訓練",
     "Path to directory with input images": "帶有輸入圖像的路徑",
     "Path to directory where to write outputs": "進行輸出的路徑",
     "Input images directory": "輸入圖像目錄",
-    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下標籤定義如何選擇圖像的檔案名: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 預設請留空",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果啟用此選項，水印將不會添加到生成出來的圖像中。警告：如果你不添加水印，你的行為可能是不符合道德操守的",
-    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下標籤定義如何選擇圖像和概覽圖的子目錄: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; 預設請留空",
-    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神經網路修復低質量面部",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下標籤定義如何選擇圖像的檔案名： [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]； 預設請留空",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "如果啟用此選項，浮水印將不會加入到生成出來的圖像中。警告：如果你不加入浮水印，你的行為可能是不符合道德操守的",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "使用以下標籤定義如何選擇圖像和概覽圖的子目錄： [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]； 預設請留空",
+    "Restore low quality faces using GFPGAN neural network": "使用 GFPGAN 神經網路修復低品質面部",
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "此正則表達式將用於從檔案名中提取單詞，並將使用以下選項將它們接合到用於訓練的標籤文本中。留空以保持檔案名文本不變",
-    "This string will be used to join split words into a single line if the option above is enabled.": "如果啟用了上述選項，則此處的字符會用於將拆分的單詞接合為同一行",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "設定名稱列表，以逗號分隔，設定應轉到頂部的快速訪問欄，而不是通常的設定選項卡。有關設定名稱，請參見 modules/shared.py。需要重新啟動才能應用",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果這個值不為零，它將被添加到隨機種子中，並在使用帶有 Eta 的採樣器時用於初始化隨機噪聲。你可以使用它來產生更多的圖像變化，或者你可以使用它來模仿其他軟件生成的圖像，如果你知道你在做什麼",
+    "This string will be used to join split words into a single line if the option above is enabled.": "如果啟用了上述選項，則此處的字元會用於將拆分的單詞接合為同一行",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "設定名稱列表，以逗號分隔，設定應轉到頂部的快速存取列，而不是通常的設定頁籤。有關設定名稱，請參見 modules/shared.py。需要重新啟動才能套用",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "如果這個值不為零，它將被加入到隨機種子中，並在使用帶有 Eta 的採樣器時用於初始化隨機噪聲。你可以使用它來產生更多的圖像變化，或者你可以使用它來模仿其他軟體生成的圖像，如果你知道你在做什麼",
     "Enable Autocomplete": "開啟Tag補全",
     "Allowed categories for random artists selection when using the Roll button": "使用抽選藝術家按鈕時將會隨機的藝術家類別",
     "Roll three": "抽三位出來",

From 5d5dc64064d8ca399a76fe44dbb62bdef6c4b7c4 Mon Sep 17 00:00:00 2001
From: Antonio <antonio.hernandez.uk@gmail.com>
Date: Fri, 28 Oct 2022 05:49:39 +0200
Subject: [PATCH 255/321] Natural sorting for dropdown checkpoint list

Example:

Before					After

11.ckpt					11.ckpt
ab.ckpt					ab.ckpt
ade_pablo_step_1000.ckpt	ade_pablo_step_500.ckpt
ade_pablo_step_500.ckpt	ade_pablo_step_1000.ckpt
ade_step_1000.ckpt		ade_step_500.ckpt
ade_step_1500.ckpt		ade_step_1000.ckpt
ade_step_2000.ckpt		ade_step_1500.ckpt
ade_step_2500.ckpt		ade_step_2000.ckpt
ade_step_3000.ckpt		ade_step_2500.ckpt
ade_step_500.ckpt			ade_step_3000.ckpt
atp_step_5500.ckpt			atp_step_5500.ckpt
model1.ckpt				model1.ckpt
model10.ckpt				model10.ckpt
model1000.ckpt			model33.ckpt
model33.ckpt				model50.ckpt
model400.ckpt			model400.ckpt
model50.ckpt				model1000.ckpt
moo44.ckpt				moo44.ckpt
v1-4-pruned-emaonly.ckpt	v1-4-pruned-emaonly.ckpt
v1-5-pruned-emaonly.ckpt	v1-5-pruned-emaonly.ckpt
v1-5-pruned.ckpt			v1-5-pruned.ckpt
v1-5-vae.ckpt				v1-5-vae.ckpt
---
 modules/sd_models.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/modules/sd_models.py b/modules/sd_models.py
index e697bb72..64d5ee0d 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -3,6 +3,7 @@ import os.path
 import sys
 from collections import namedtuple
 import torch
+import re
 from omegaconf import OmegaConf
 
 from ldm.util import instantiate_from_config
@@ -35,8 +36,10 @@ def setup_model():
     list_models()
 
 
-def checkpoint_tiles():
-    return sorted([x.title for x in checkpoints_list.values()])
+def checkpoint_tiles(): 
+    convert = lambda name: int(name) if name.isdigit() else name.lower() 
+    alphanumeric_key = lambda key: [convert(c) for c in re.split('([0-9]+)', key)] 
+    return sorted([x.title for x in checkpoints_list.values()], key = alphanumeric_key)
 
 
 def list_models():

From b2a8b263b2f09bd772f75502c5a83656580f34ec Mon Sep 17 00:00:00 2001
From: benkyoujouzu <benkyoujouzu@gmail.com>
Date: Thu, 27 Oct 2022 13:00:47 +0800
Subject: [PATCH 256/321] Add missing support for linear activation in
 hypernetwork

---
 modules/hypernetworks/hypernetwork.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 8113b35b..87cf3cf3 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -25,6 +25,7 @@ from statistics import stdev, mean
 class HypernetworkModule(torch.nn.Module):
     multiplier = 1.0
     activation_dict = {
+        "linear": torch.nn.Identity,
         "relu": torch.nn.ReLU,
         "leakyrelu": torch.nn.LeakyReLU,
         "elu": torch.nn.ELU,

From 9e465c8aa5616df4c6723bee007ffd3910404f12 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Thu, 27 Oct 2022 23:03:34 -0700
Subject: [PATCH 257/321] Add strength to textinfo.

---
 modules/processing.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/processing.py b/modules/processing.py
index 4efba946..93066522 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -329,6 +329,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
         "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
         "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
         "Hypernet": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
+        "Hypernetwork strength": (None if shared.loaded_hypernetwork is None else shared.opts.sd_hypernetwork_strength),
         "Batch size": (None if p.batch_size < 2 else p.batch_size),
         "Batch pos": (None if p.batch_size < 2 else position_in_batch),
         "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),

From d4a069a23cb19104b4e58a33d0d1670fadaefb7a Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Thu, 27 Oct 2022 23:16:27 -0700
Subject: [PATCH 258/321] Read hypernet strength from PNG info.

---
 modules/ui.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/ui.py b/modules/ui.py
index 0a63e357..62a2f4f3 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1812,6 +1812,7 @@ Requested path was: {f}
 
         settings_map = {
             'sd_hypernetwork': 'Hypernet',
+            'sd_hypernetwork_strength': 'Hypernetwork strength',
             'CLIP_stop_at_last_layers': 'Clip skip',
             'sd_model_checkpoint': 'Model hash',
         }

From c0677b33161f04c3ed1a7a78f4c7288fb95787b7 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Thu, 27 Oct 2022 23:31:45 -0700
Subject: [PATCH 259/321] Explicitly state when Hypernet is none.

---
 modules/processing.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 93066522..74a0cd64 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -328,7 +328,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
         "Size": f"{p.width}x{p.height}",
         "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
         "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
-        "Hypernet": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
+        "Hypernet": ("None" if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
         "Hypernetwork strength": (None if shared.loaded_hypernetwork is None else shared.opts.sd_hypernetwork_strength),
         "Batch size": (None if p.batch_size < 2 else p.batch_size),
         "Batch pos": (None if p.batch_size < 2 else position_in_batch),

From db5a354c489bfd1c95e0bbf9af12ab8b5d6fe170 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Fri, 28 Oct 2022 01:41:57 -0700
Subject: [PATCH 260/321] Always ignore "None.pt" in the hypernet directory.

---
 modules/hypernetworks/hypernetwork.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 8113b35b..cd920df5 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -208,13 +208,16 @@ def list_hypernetworks(path):
     res = {}
     for filename in glob.iglob(os.path.join(path, '**/*.pt'), recursive=True):
         name = os.path.splitext(os.path.basename(filename))[0]
-        res[name] = filename
+        # Prevent a hypothetical "None.pt" from being listed.
+        if name != "None":
+            res[name] = filename
     return res
 
 
 def load_hypernetwork(filename):
     path = shared.hypernetworks.get(filename, None)
-    if path is not None:
+    # Prevent any file named "None.pt" from being loaded.
+    if path is not None and filename != "None":
         print(f"Loading hypernetwork {filename}")
         try:
             shared.loaded_hypernetwork = Hypernetwork()

From 9ceef81f77ecce89f0c8f412c4d849210d852e82 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Fri, 28 Oct 2022 20:48:08 +0700
Subject: [PATCH 261/321] Fix log off by 1

---
 modules/hypernetworks/hypernetwork.py         | 12 ++++++----
 modules/textual_inversion/learn_schedule.py   |  2 +-
 .../textual_inversion/textual_inversion.py    | 24 +++++++++----------
 3 files changed, 20 insertions(+), 18 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 8113b35b..a0297997 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -428,7 +428,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
             optimizer.step()
 
-        if torch.isnan(losses[hypernetwork.step % losses.shape[0]]):
+        steps_done = hypernetwork.step + 1
+
+        if torch.isnan(losses[hypernetwork.step % losses.shape[0]]): 
             raise RuntimeError("Loss diverged.")
         
         if len(previous_mean_losses) > 1:
@@ -438,9 +440,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
         pbar.set_description(dataset_loss_info)
 
-        if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
+        if hypernetwork_dir is not None and steps_done % save_hypernetwork_every == 0:
             # Before saving, change name to match current checkpoint.
-            hypernetwork.name = f'{hypernetwork_name}-{hypernetwork.step}'
+            hypernetwork.name = f'{hypernetwork_name}-{steps_done}'
             last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
             hypernetwork.save(last_saved_file)
 
@@ -449,8 +451,8 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
             "learn_rate": scheduler.learn_rate
         })
 
-        if hypernetwork.step > 0 and images_dir is not None and hypernetwork.step % create_image_every == 0:
-            forced_filename = f'{hypernetwork_name}-{hypernetwork.step}'
+        if images_dir is not None and steps_done % create_image_every == 0:
+            forced_filename = f'{hypernetwork_name}-{steps_done}'
             last_saved_image = os.path.join(images_dir, forced_filename)
 
             optimizer.zero_grad()
diff --git a/modules/textual_inversion/learn_schedule.py b/modules/textual_inversion/learn_schedule.py
index 2062726a..3a736065 100644
--- a/modules/textual_inversion/learn_schedule.py
+++ b/modules/textual_inversion/learn_schedule.py
@@ -52,7 +52,7 @@ class LearnRateScheduler:
         self.finished = False
 
     def apply(self, optimizer, step_number):
-        if step_number <= self.end_step:
+        if step_number < self.end_step:
             return
 
         try:
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index ff002d3e..17dfb223 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -184,9 +184,8 @@ def write_loss(log_directory, filename, step, epoch_len, values):
     if shared.opts.training_write_csv_every == 0:
         return
 
-    if step % shared.opts.training_write_csv_every != 0:
+    if (step + 1) % shared.opts.training_write_csv_every != 0:
         return
-
     write_csv_header = False if os.path.exists(os.path.join(log_directory, filename)) else True
 
     with open(os.path.join(log_directory, filename), "a+", newline='') as fout:
@@ -196,11 +195,11 @@ def write_loss(log_directory, filename, step, epoch_len, values):
             csv_writer.writeheader()
 
         epoch = step // epoch_len
-        epoch_step = step - epoch * epoch_len
+        epoch_step = step % epoch_len 
 
         csv_writer.writerow({
             "step": step + 1,
-            "epoch": epoch + 1,
+            "epoch": epoch,
             "epoch_step": epoch_step + 1,
             **values,
         })
@@ -282,15 +281,16 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
             loss.backward()
             optimizer.step()
 
+        steps_done = embedding.step + 1
 
         epoch_num = embedding.step // len(ds)
-        epoch_step = embedding.step - (epoch_num * len(ds)) + 1
+        epoch_step = embedding.step % len(ds)
 
-        pbar.set_description(f"[Epoch {epoch_num}: {epoch_step}/{len(ds)}]loss: {losses.mean():.7f}")
+        pbar.set_description(f"[Epoch {epoch_num}: {epoch_step+1}/{len(ds)}]loss: {losses.mean():.7f}")
 
-        if embedding.step > 0 and embedding_dir is not None and embedding.step % save_embedding_every == 0:
+        if embedding_dir is not None and steps_done % save_embedding_every == 0:
             # Before saving, change name to match current checkpoint.
-            embedding.name = f'{embedding_name}-{embedding.step}'
+            embedding.name = f'{embedding_name}-{steps_done}'
             last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
             embedding.save(last_saved_file)
             embedding_yet_to_be_embedded = True
@@ -300,8 +300,8 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
             "learn_rate": scheduler.learn_rate
         })
 
-        if embedding.step > 0 and images_dir is not None and embedding.step % create_image_every == 0:
-            forced_filename = f'{embedding_name}-{embedding.step}'
+        if images_dir is not None and steps_done % create_image_every == 0:
+            forced_filename = f'{embedding_name}-{steps_done}'
             last_saved_image = os.path.join(images_dir, forced_filename)
             p = processing.StableDiffusionProcessingTxt2Img(
                 sd_model=shared.sd_model,
@@ -334,7 +334,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
 
             if save_image_with_stored_embedding and os.path.exists(last_saved_file) and embedding_yet_to_be_embedded:
 
-                last_saved_image_chunks = os.path.join(images_embeds_dir, f'{embedding_name}-{embedding.step}.png')
+                last_saved_image_chunks = os.path.join(images_embeds_dir, f'{embedding_name}-{steps_done}.png')
 
                 info = PngImagePlugin.PngInfo()
                 data = torch.load(last_saved_file)
@@ -350,7 +350,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
                 checkpoint = sd_models.select_checkpoint()
                 footer_left = checkpoint.model_name
                 footer_mid = '[{}]'.format(checkpoint.hash)
-                footer_right = '{}v {}s'.format(vectorSize, embedding.step)
+                footer_right = '{}v {}s'.format(vectorSize, steps_done)
 
                 captioned_image = caption_image_overlay(image, title, footer_left, footer_mid, footer_right)
                 captioned_image = insert_image_data_embed(captioned_image, data)

From 26d08193848568b06105a1ee7b76f338ebf0f0ee Mon Sep 17 00:00:00 2001
From: Chris OBryan <13701027+cobryan05@users.noreply.github.com>
Date: Fri, 28 Oct 2022 13:24:11 -0500
Subject: [PATCH 262/321] extras: Add option to run upscaling before face
 fixing

Face restoration can look much better if ran after upscaling, as it
allows the restoration to fix upscaling artifacts. This patch adds
an option to choose which order to run upscaling/face fixing in.
---
 modules/extras.py | 157 +++++++++++++++++++++++++++++-----------------
 modules/ui.py     |   4 ++
 2 files changed, 105 insertions(+), 56 deletions(-)

diff --git a/modules/extras.py b/modules/extras.py
index 22c5a1c1..79047f3a 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -7,6 +7,10 @@ from PIL import Image
 import torch
 import tqdm
 
+from typing import Callable, List, Tuple
+from functools import partial
+from dataclasses import dataclass
+
 from modules import processing, shared, images, devices, sd_models
 from modules.shared import opts
 import modules.gfpgan_model
@@ -20,7 +24,7 @@ import gradio as gr
 cached_images = {}
 
 
-def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility):
+def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool ):
     devices.torch_gc()
 
     imageArr = []
@@ -56,7 +60,99 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
     else:
         outpath = opts.outdir_samples or opts.outdir_extras_samples
 
-    
+
+    # Extra operation definitions
+    def run_gfpgan(image: Image.Image, info: str) -> Tuple[Image.Image, str]:
+        restored_img = modules.gfpgan_model.gfpgan_fix_faces(np.array(image, dtype=np.uint8))
+        res = Image.fromarray(restored_img)
+
+        if gfpgan_visibility < 1.0:
+            res = Image.blend(image, res, gfpgan_visibility)
+
+        info += f"GFPGAN visibility:{round(gfpgan_visibility, 2)}\n"
+        return (res, info)
+
+    def run_codeformer(image: Image.Image, info: str) -> Tuple[Image.Image, str]:
+        restored_img = modules.codeformer_model.codeformer.restore(np.array(image, dtype=np.uint8), w=codeformer_weight)
+        res = Image.fromarray(restored_img)
+
+        if codeformer_visibility < 1.0:
+            res = Image.blend(image, res, codeformer_visibility)
+
+        info += f"CodeFormer w: {round(codeformer_weight, 2)}, CodeFormer visibility:{round(codeformer_visibility, 2)}\n"
+        return (res, info)
+
+
+    def upscale(image, scaler_index, resize, mode, resize_w, resize_h, crop):
+        small = image.crop((image.width // 2, image.height // 2, image.width // 2 + 10, image.height // 2 + 10))
+        pixels = tuple(np.array(small).flatten().tolist())
+        key = (resize, scaler_index, image.width, image.height, gfpgan_visibility, codeformer_visibility, codeformer_weight,
+                resize_mode, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop) + pixels
+
+        c = cached_images.get(key)
+        if c is None:
+            upscaler = shared.sd_upscalers[scaler_index]
+            c = upscaler.scaler.upscale(image, resize, upscaler.data_path)
+            if mode == 1 and crop:
+                cropped = Image.new("RGB", (resize_w, resize_h))
+                cropped.paste(c, box=(resize_w // 2 - c.width // 2, resize_h // 2 - c.height // 2))
+                c = cropped
+            cached_images[key] = c
+        return c
+
+
+    def run_prepare_crop(image: Image.Image, info: str) -> Tuple[Image.Image, str]:
+        # Actual crop happens in run_upscalers_blend, this just sets upscaling_resize and adds info text
+        nonlocal upscaling_resize
+        if resize_mode == 1:
+            upscaling_resize = max(upscaling_resize_w/image.width, upscaling_resize_h/image.height)
+            crop_info = " (crop)" if upscaling_crop else ""
+            info += f"Resize to: {upscaling_resize_w:g}x{upscaling_resize_h:g}{crop_info}\n"
+        return (image, info)
+
+    @dataclass
+    class UpscaleParams:
+        upscaler_idx: int
+        blend_alpha: float
+
+    def run_upscalers_blend( params: List[UpscaleParams], image: Image.Image, info: str) -> Tuple[Image.Image, str]:
+        blended_result: Image.Image = None
+        for upscaler in params:
+            res = upscale(image, upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
+            info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {upscaler.blend_alpha}, model:{shared.sd_upscalers[upscaler.upscaler_idx].name}\n"
+            if blended_result is None:
+                blended_result = res
+            else:
+                blended_result = Image.blend(blended_result, res, upscaler.blend_alpha)
+        return (blended_result, info)
+
+    # Build a list of operations to run
+    facefix_ops: List[Callable] = []
+    if gfpgan_visibility > 0:
+        facefix_ops.append(run_gfpgan)
+    if codeformer_visibility > 0:
+        facefix_ops.append(run_codeformer)
+
+    upscale_ops: List[Callable] = []
+    if resize_mode == 1:
+        upscale_ops.append(run_prepare_crop)
+
+    if upscaling_resize != 0:
+        step_params: List[UpscaleParams] = []
+        step_params.append( UpscaleParams( upscaler_idx=extras_upscaler_1, blend_alpha=1.0 ))
+        if extras_upscaler_2 != 0 and extras_upscaler_2_visibility > 0:
+            step_params.append( UpscaleParams( upscaler_idx=extras_upscaler_2, blend_alpha=extras_upscaler_2_visibility ) )
+
+        upscale_ops.append( partial(run_upscalers_blend, step_params) )
+
+
+    extras_ops: List[Callable] = []
+    if upscale_first:
+        extras_ops = upscale_ops + facefix_ops
+    else:
+        extras_ops = facefix_ops + upscale_ops
+
+
     for image, image_name in zip(imageArr, imageNameArr):
         if image is None:
             return outputs, "Please select an input image.", ''
@@ -64,60 +160,9 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
         image = image.convert("RGB")
         info = ""
-
-        if gfpgan_visibility > 0:
-            restored_img = modules.gfpgan_model.gfpgan_fix_faces(np.array(image, dtype=np.uint8))
-            res = Image.fromarray(restored_img)
-
-            if gfpgan_visibility < 1.0:
-                res = Image.blend(image, res, gfpgan_visibility)
-
-            info += f"GFPGAN visibility:{round(gfpgan_visibility, 2)}\n"
-            image = res
-
-        if codeformer_visibility > 0:
-            restored_img = modules.codeformer_model.codeformer.restore(np.array(image, dtype=np.uint8), w=codeformer_weight)
-            res = Image.fromarray(restored_img)
-
-            if codeformer_visibility < 1.0:
-                res = Image.blend(image, res, codeformer_visibility)
-
-            info += f"CodeFormer w: {round(codeformer_weight, 2)}, CodeFormer visibility:{round(codeformer_visibility, 2)}\n"
-            image = res
-
-        if resize_mode == 1:
-            upscaling_resize = max(upscaling_resize_w/image.width, upscaling_resize_h/image.height)
-            crop_info = " (crop)" if upscaling_crop else ""
-            info += f"Resize to: {upscaling_resize_w:g}x{upscaling_resize_h:g}{crop_info}\n"
-
-        if upscaling_resize != 1.0:
-            def upscale(image, scaler_index, resize, mode, resize_w, resize_h, crop):
-                small = image.crop((image.width // 2, image.height // 2, image.width // 2 + 10, image.height // 2 + 10))
-                pixels = tuple(np.array(small).flatten().tolist())
-                key = (resize, scaler_index, image.width, image.height, gfpgan_visibility, codeformer_visibility, codeformer_weight, 
-                       resize_mode, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop) + pixels
-
-                c = cached_images.get(key)
-                if c is None:
-                    upscaler = shared.sd_upscalers[scaler_index]
-                    c = upscaler.scaler.upscale(image, resize, upscaler.data_path)
-                    if mode == 1 and crop:
-                        cropped = Image.new("RGB", (resize_w, resize_h))
-                        cropped.paste(c, box=(resize_w // 2 - c.width // 2, resize_h // 2 - c.height // 2))
-                        c = cropped
-                    cached_images[key] = c
-
-                return c
-
-            info += f"Upscale: {round(upscaling_resize, 3)}, model:{shared.sd_upscalers[extras_upscaler_1].name}\n"
-            res = upscale(image, extras_upscaler_1, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
-
-            if extras_upscaler_2 != 0 and extras_upscaler_2_visibility > 0:
-                res2 = upscale(image, extras_upscaler_2, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
-                info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {round(extras_upscaler_2_visibility, 3)}, model:{shared.sd_upscalers[extras_upscaler_2].name}\n"
-                res = Image.blend(res, res2, extras_upscaler_2_visibility)
-
-            image = res
+        # Run each operation on each image
+        for op in extras_ops:
+            image, info = op(image, info)
 
         while len(cached_images) > 2:
             del cached_images[next(iter(cached_images.keys()))]
diff --git a/modules/ui.py b/modules/ui.py
index 0a63e357..16b6ac49 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1119,6 +1119,9 @@ def create_ui(wrap_gradio_gpu_call):
                     codeformer_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="CodeFormer visibility", value=0, interactive=modules.codeformer_model.have_codeformer)
                     codeformer_weight = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="CodeFormer weight (0 = maximum effect, 1 = minimum effect)", value=0, interactive=modules.codeformer_model.have_codeformer)
 
+                with gr.Group():
+                    upscale_before_face_fix = gr.Checkbox(label='Upscale Before Restoring Faces', value=False)
+
                 submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
 
             with gr.Column(variant='panel'):
@@ -1152,6 +1155,7 @@ def create_ui(wrap_gradio_gpu_call):
                 extras_upscaler_1,
                 extras_upscaler_2,
                 extras_upscaler_2_visibility,
+                upscale_before_face_fix,
             ],
             outputs=[
                 result_images,

From bde4731f1d3ddf30c46f86c9f6e71e6c0644089d Mon Sep 17 00:00:00 2001
From: Chris OBryan <13701027+cobryan05@users.noreply.github.com>
Date: Fri, 28 Oct 2022 14:30:04 -0500
Subject: [PATCH 263/321] extras: Rework image cache

Bit of a refactor to the image cache to make it easier to extend.
Also takes into account the entire image instead of just a cropped portion.
---
 modules/extras.py | 52 +++++++++++++++++++++++++++++------------------
 1 file changed, 32 insertions(+), 20 deletions(-)

diff --git a/modules/extras.py b/modules/extras.py
index 79047f3a..cffe0381 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -7,7 +7,7 @@ from PIL import Image
 import torch
 import tqdm
 
-from typing import Callable, List, Tuple
+from typing import Callable, Dict, List, Tuple
 from functools import partial
 from dataclasses import dataclass
 
@@ -21,7 +21,18 @@ import piexif.helper
 import gradio as gr
 
 
-cached_images = {}
+@dataclass(frozen=True)
+class CacheKey:
+    image_hash: int
+    info_hash: int
+    args_hash: int
+
+@dataclass
+class CacheEntry:
+    image: Image.Image
+    info: str
+
+cached_images: Dict[CacheKey, CacheEntry] = {}
 
 
 def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool ):
@@ -84,22 +95,13 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
 
     def upscale(image, scaler_index, resize, mode, resize_w, resize_h, crop):
-        small = image.crop((image.width // 2, image.height // 2, image.width // 2 + 10, image.height // 2 + 10))
-        pixels = tuple(np.array(small).flatten().tolist())
-        key = (resize, scaler_index, image.width, image.height, gfpgan_visibility, codeformer_visibility, codeformer_weight,
-                resize_mode, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop) + pixels
-
-        c = cached_images.get(key)
-        if c is None:
-            upscaler = shared.sd_upscalers[scaler_index]
-            c = upscaler.scaler.upscale(image, resize, upscaler.data_path)
-            if mode == 1 and crop:
-                cropped = Image.new("RGB", (resize_w, resize_h))
-                cropped.paste(c, box=(resize_w // 2 - c.width // 2, resize_h // 2 - c.height // 2))
-                c = cropped
-            cached_images[key] = c
-        return c
-
+        upscaler = shared.sd_upscalers[scaler_index]
+        res = upscaler.scaler.upscale(image, resize, upscaler.data_path)
+        if mode == 1 and crop:
+            cropped = Image.new("RGB", (resize_w, resize_h))
+            cropped.paste(res, box=(resize_w // 2 - res.width // 2, resize_h // 2 - res.height // 2))
+            res = cropped
+        return res
 
     def run_prepare_crop(image: Image.Image, info: str) -> Tuple[Image.Image, str]:
         # Actual crop happens in run_upscalers_blend, this just sets upscaling_resize and adds info text
@@ -118,8 +120,18 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
     def run_upscalers_blend( params: List[UpscaleParams], image: Image.Image, info: str) -> Tuple[Image.Image, str]:
         blended_result: Image.Image = None
         for upscaler in params:
-            res = upscale(image, upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
-            info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {upscaler.blend_alpha}, model:{shared.sd_upscalers[upscaler.upscaler_idx].name}\n"
+            upscale_args = (upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
+            cache_key = CacheKey( image_hash = hash(np.array(image.getdata()).tobytes()),
+                                  info_hash = hash(info),
+                                  args_hash = hash(upscale_args) )
+            cached_entry = cached_images.get(cache_key)
+            if cached_entry is None:
+                res = upscale(image, *upscale_args)
+                info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {upscaler.blend_alpha}, model:{shared.sd_upscalers[upscaler.upscaler_idx].name}\n"
+                cached_images[cache_key] = CacheEntry(image=res, info=info)
+            else:
+                res, info = cached_entry.image, cached_entry.info
+
             if blended_result is None:
                 blended_result = res
             else:

From 1f1b327959b546b5e6f995905a1699c5fe4a0c35 Mon Sep 17 00:00:00 2001
From: Chris OBryan <13701027+cobryan05@users.noreply.github.com>
Date: Fri, 28 Oct 2022 16:11:16 -0500
Subject: [PATCH 264/321] extras: Make image cache LRU

This changes the extras image cache into a Least-Recently-Used
cache. This allows more experimentation with different upscalers
without missing the cache.

Max cache size is increased to 5 and is cleared on source image
update.
---
 modules/extras.py | 67 +++++++++++++++++++++++++++--------------------
 modules/ui.py     |  5 ++++
 2 files changed, 43 insertions(+), 29 deletions(-)

diff --git a/modules/extras.py b/modules/extras.py
index cffe0381..72cc6d1d 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -1,3 +1,4 @@
+from __future__ import annotations
 import math
 import os
 
@@ -7,7 +8,7 @@ from PIL import Image
 import torch
 import tqdm
 
-from typing import Callable, Dict, List, Tuple
+from typing import Callable, List, OrderedDict, Tuple
 from functools import partial
 from dataclasses import dataclass
 
@@ -21,18 +22,34 @@ import piexif.helper
 import gradio as gr
 
 
-@dataclass(frozen=True)
-class CacheKey:
-    image_hash: int
-    info_hash: int
-    args_hash: int
+class LruCache(OrderedDict):
+    @dataclass(frozen=True)
+    class Key:
+        image_hash: int
+        info_hash: int
+        args_hash: int
 
-@dataclass
-class CacheEntry:
-    image: Image.Image
-    info: str
+    @dataclass
+    class Value:
+        image: Image.Image
+        info: str
 
-cached_images: Dict[CacheKey, CacheEntry] = {}
+    def __init__(self, max_size:int = 5, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self._max_size = max_size
+
+    def get(self, key: LruCache.Key) -> LruCache.Value:
+        ret = super().get(key)
+        if ret is not None:
+            self.move_to_end(key) # Move to end of eviction list
+        return ret
+
+    def put(self, key: LruCache.Key, value: LruCache.Value) -> None:
+        self[key] = value
+        while len(self) > self._max_size:
+            self.popitem(last=False)
+
+cached_images: LruCache = LruCache(max_size = 5)
 
 
 def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool ):
@@ -121,14 +138,14 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
         blended_result: Image.Image = None
         for upscaler in params:
             upscale_args = (upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
-            cache_key = CacheKey( image_hash = hash(np.array(image.getdata()).tobytes()),
+            cache_key = LruCache.Key( image_hash = hash(np.array(image.getdata()).tobytes()),
                                   info_hash = hash(info),
-                                  args_hash = hash(upscale_args) )
+                                  args_hash = hash(upscale_args + (upscaler.blend_alpha,)) )
             cached_entry = cached_images.get(cache_key)
             if cached_entry is None:
                 res = upscale(image, *upscale_args)
                 info += f"Upscale: {round(upscaling_resize, 3)}, visibility: {upscaler.blend_alpha}, model:{shared.sd_upscalers[upscaler.upscaler_idx].name}\n"
-                cached_images[cache_key] = CacheEntry(image=res, info=info)
+                cached_images.put(cache_key, LruCache.Value(image=res, info=info))
             else:
                 res, info = cached_entry.image, cached_entry.info
 
@@ -140,14 +157,11 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
     # Build a list of operations to run
     facefix_ops: List[Callable] = []
-    if gfpgan_visibility > 0:
-        facefix_ops.append(run_gfpgan)
-    if codeformer_visibility > 0:
-        facefix_ops.append(run_codeformer)
+    facefix_ops += [run_gfpgan] if gfpgan_visibility > 0 else []
+    facefix_ops += [run_codeformer] if codeformer_visibility > 0 else []
 
     upscale_ops: List[Callable] = []
-    if resize_mode == 1:
-        upscale_ops.append(run_prepare_crop)
+    upscale_ops += [run_prepare_crop] if resize_mode == 1 else []
 
     if upscaling_resize != 0:
         step_params: List[UpscaleParams] = []
@@ -157,12 +171,7 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
         upscale_ops.append( partial(run_upscalers_blend, step_params) )
 
-
-    extras_ops: List[Callable] = []
-    if upscale_first:
-        extras_ops = upscale_ops + facefix_ops
-    else:
-        extras_ops = facefix_ops + upscale_ops
+    extras_ops: List[Callable] = (upscale_ops + facefix_ops) if upscale_first else (facefix_ops + upscale_ops)
 
 
     for image, image_name in zip(imageArr, imageNameArr):
@@ -176,9 +185,6 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
         for op in extras_ops:
             image, info = op(image, info)
 
-        while len(cached_images) > 2:
-            del cached_images[next(iter(cached_images.keys()))]
-        
         if opts.use_original_name_batch and image_name != None:
             basename = os.path.splitext(os.path.basename(image_name))[0]
         else:
@@ -198,6 +204,9 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
     return outputs, plaintext_to_html(info), ''
 
+def clear_cache():
+    cached_images.clear()
+
 
 def run_pnginfo(image):
     if image is None:
diff --git a/modules/ui.py b/modules/ui.py
index 16b6ac49..b7c36c55 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1178,6 +1178,11 @@ def create_ui(wrap_gradio_gpu_call):
             outputs=[init_img_with_mask],
         )
 
+        extras_image.change(
+            fn=modules.extras.clear_cache,
+            inputs=[], outputs=[]
+        )
+
     with gr.Blocks(analytics_enabled=False) as pnginfo_interface:
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):

From 5732c0282d529ef2e0591c76e16959e97240dad8 Mon Sep 17 00:00:00 2001
From: Chris OBryan <13701027+cobryan05@users.noreply.github.com>
Date: Fri, 28 Oct 2022 16:36:25 -0500
Subject: [PATCH 265/321] extras-tweaks: autoformat changed lines

---
 modules/extras.py | 30 +++++++++++++++---------------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/modules/extras.py b/modules/extras.py
index 72cc6d1d..50026a25 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -34,14 +34,14 @@ class LruCache(OrderedDict):
         image: Image.Image
         info: str
 
-    def __init__(self, max_size:int = 5, *args, **kwargs):
+    def __init__(self, max_size: int = 5, *args, **kwargs):
         super().__init__(*args, **kwargs)
         self._max_size = max_size
 
     def get(self, key: LruCache.Key) -> LruCache.Value:
         ret = super().get(key)
         if ret is not None:
-            self.move_to_end(key) # Move to end of eviction list
+            self.move_to_end(key)  # Move to end of eviction list
         return ret
 
     def put(self, key: LruCache.Key, value: LruCache.Value) -> None:
@@ -49,10 +49,11 @@ class LruCache(OrderedDict):
         while len(self) > self._max_size:
             self.popitem(last=False)
 
-cached_images: LruCache = LruCache(max_size = 5)
+
+cached_images: LruCache = LruCache(max_size=5)
 
 
-def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool ):
+def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_dir, show_extras_results, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, upscaling_resize_w, upscaling_resize_h, upscaling_crop, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, upscale_first: bool):
     devices.torch_gc()
 
     imageArr = []
@@ -88,8 +89,8 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
     else:
         outpath = opts.outdir_samples or opts.outdir_extras_samples
 
-
     # Extra operation definitions
+
     def run_gfpgan(image: Image.Image, info: str) -> Tuple[Image.Image, str]:
         restored_img = modules.gfpgan_model.gfpgan_fix_faces(np.array(image, dtype=np.uint8))
         res = Image.fromarray(restored_img)
@@ -110,7 +111,6 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
         info += f"CodeFormer w: {round(codeformer_weight, 2)}, CodeFormer visibility:{round(codeformer_visibility, 2)}\n"
         return (res, info)
 
-
     def upscale(image, scaler_index, resize, mode, resize_w, resize_h, crop):
         upscaler = shared.sd_upscalers[scaler_index]
         res = upscaler.scaler.upscale(image, resize, upscaler.data_path)
@@ -134,13 +134,14 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
         upscaler_idx: int
         blend_alpha: float
 
-    def run_upscalers_blend( params: List[UpscaleParams], image: Image.Image, info: str) -> Tuple[Image.Image, str]:
+    def run_upscalers_blend(params: List[UpscaleParams], image: Image.Image, info: str) -> Tuple[Image.Image, str]:
         blended_result: Image.Image = None
         for upscaler in params:
-            upscale_args = (upscaler.upscaler_idx, upscaling_resize, resize_mode, upscaling_resize_w, upscaling_resize_h, upscaling_crop)
-            cache_key = LruCache.Key( image_hash = hash(np.array(image.getdata()).tobytes()),
-                                  info_hash = hash(info),
-                                  args_hash = hash(upscale_args + (upscaler.blend_alpha,)) )
+            upscale_args = (upscaler.upscaler_idx, upscaling_resize, resize_mode,
+                            upscaling_resize_w, upscaling_resize_h, upscaling_crop)
+            cache_key = LruCache.Key(image_hash=hash(np.array(image.getdata()).tobytes()),
+                                     info_hash=hash(info),
+                                     args_hash=hash(upscale_args + (upscaler.blend_alpha,)))
             cached_entry = cached_images.get(cache_key)
             if cached_entry is None:
                 res = upscale(image, *upscale_args)
@@ -165,15 +166,14 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
     if upscaling_resize != 0:
         step_params: List[UpscaleParams] = []
-        step_params.append( UpscaleParams( upscaler_idx=extras_upscaler_1, blend_alpha=1.0 ))
+        step_params.append(UpscaleParams(upscaler_idx=extras_upscaler_1, blend_alpha=1.0))
         if extras_upscaler_2 != 0 and extras_upscaler_2_visibility > 0:
-            step_params.append( UpscaleParams( upscaler_idx=extras_upscaler_2, blend_alpha=extras_upscaler_2_visibility ) )
+            step_params.append(UpscaleParams(upscaler_idx=extras_upscaler_2, blend_alpha=extras_upscaler_2_visibility))
 
-        upscale_ops.append( partial(run_upscalers_blend, step_params) )
+        upscale_ops.append(partial(run_upscalers_blend, step_params))
 
     extras_ops: List[Callable] = (upscale_ops + facefix_ops) if upscale_first else (facefix_ops + upscale_ops)
 
-
     for image, image_name in zip(imageArr, imageNameArr):
         if image is None:
             return outputs, "Please select an input image.", ''

From d8b366146748555a18b595af400c8cb222ea0ec9 Mon Sep 17 00:00:00 2001
From: Chris OBryan <13701027+cobryan05@users.noreply.github.com>
Date: Fri, 28 Oct 2022 16:55:02 -0500
Subject: [PATCH 266/321] extras: upscaler blending should not be considered in
 cache key

---
 modules/extras.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/extras.py b/modules/extras.py
index 50026a25..681d8d5a 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -141,7 +141,7 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
                             upscaling_resize_w, upscaling_resize_h, upscaling_crop)
             cache_key = LruCache.Key(image_hash=hash(np.array(image.getdata()).tobytes()),
                                      info_hash=hash(info),
-                                     args_hash=hash(upscale_args + (upscaler.blend_alpha,)))
+                                     args_hash=hash(upscale_args))
             cached_entry = cached_images.get(cache_key)
             if cached_entry is None:
                 res = upscale(image, *upscale_args)

From 539c0f51e436beeb0ca2b8b8d52b24f4b59ad56a Mon Sep 17 00:00:00 2001
From: Yaiol <38218161+Yaiol@users.noreply.github.com>
Date: Sat, 29 Oct 2022 01:07:01 +0200
Subject: [PATCH 267/321] Update images.py

Filename tags [height] and [width] are wrongly referencing to process size instead of resulting image size. Making all upscale files named wrongly.
---
 modules/images.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/modules/images.py b/modules/images.py
index 7870b5b7..a0728553 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -300,8 +300,8 @@ class FilenameGenerator:
         'seed': lambda self: self.seed if self.seed is not None else '',
         'steps': lambda self:  self.p and self.p.steps,
         'cfg': lambda self: self.p and self.p.cfg_scale,
-        'width': lambda self: self.p and self.p.width,
-        'height': lambda self: self.p and self.p.height,
+        'width': lambda self: self.image.width,
+        'height': lambda self: self.image.height,
         'styles': lambda self: self.p and sanitize_filename_part(", ".join([style for style in self.p.styles if not style == "None"]) or "None", replace_spaces=False),
         'sampler': lambda self: self.p and sanitize_filename_part(sd_samplers.samplers[self.p.sampler_index].name, replace_spaces=False),
         'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
@@ -315,10 +315,11 @@ class FilenameGenerator:
     }
     default_time_format = '%Y%m%d%H%M%S'
 
-    def __init__(self, p, seed, prompt):
+    def __init__(self, p, seed, prompt, image):
         self.p = p
         self.seed = seed
         self.prompt = prompt
+        self.image = image
 
     def prompt_no_style(self):
         if self.p is None or self.prompt is None:
@@ -449,7 +450,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
         txt_fullfn (`str` or None):
             If a text file is saved for this image, this will be its full path. Otherwise None.
     """
-    namegen = FilenameGenerator(p, seed, prompt)
+    namegen = FilenameGenerator(p, seed, prompt, image)
 
     if save_to_dirs is None:
         save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)

From f361e804ebaa5af4a10711ece2522869fb64a4c6 Mon Sep 17 00:00:00 2001
From: AngelBottomless <35677394+aria1th@users.noreply.github.com>
Date: Sat, 29 Oct 2022 08:36:50 +0900
Subject: [PATCH 268/321] Re enable linear

---
 modules/hypernetworks/ui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/hypernetworks/ui.py b/modules/hypernetworks/ui.py
index c2d4b51c..aad09ffc 100644
--- a/modules/hypernetworks/ui.py
+++ b/modules/hypernetworks/ui.py
@@ -9,7 +9,7 @@ from modules import devices, sd_hijack, shared
 from modules.hypernetworks import hypernetwork
 
 not_available = ["hardswish", "multiheadattention"]
-keys = list(x for x in hypernetwork.HypernetworkModule.activation_dict.keys() if x not in not_available)
+keys = ["linear"] + list(x for x in hypernetwork.HypernetworkModule.activation_dict.keys() if x not in not_available)
 
 def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False):
     # Remove illegal characters from name.

From bce5adcd6de1ad608df8d813a92e1167b7a1d3f2 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 07:37:06 +0300
Subject: [PATCH 269/321] change default hypernet activation function to linear

---
 modules/ui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/ui.py b/modules/ui.py
index 0a63e357..2541970d 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1238,7 +1238,7 @@ def create_ui(wrap_gradio_gpu_call):
                     new_hypernetwork_name = gr.Textbox(label="Name")
                     new_hypernetwork_sizes = gr.CheckboxGroup(label="Modules", value=["768", "320", "640", "1280"], choices=["768", "320", "640", "1280"])
                     new_hypernetwork_layer_structure = gr.Textbox("1, 2, 1", label="Enter hypernetwork layer structure", placeholder="1st and last digit must be 1. ex:'1, 2, 1'")
-                    new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=modules.hypernetworks.ui.keys)
+                    new_hypernetwork_activation_func = gr.Dropdown(value="linear", label="Select activation function of hypernetwork", choices=modules.hypernetworks.ui.keys)
                     new_hypernetwork_initialization_option = gr.Dropdown(value = "Normal", label="Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended", choices=["Normal", "KaimingUniform", "KaimingNormal", "XavierUniform", "XavierNormal"])
                     new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization")
                     new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout")

From a1e5e0d7669def010ecf31d801d6f0667bcf8061 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 08:11:03 +0300
Subject: [PATCH 270/321] skip filenames starting with . for img2img and extras
 batch modes

---
 modules/extras.py  | 2 +-
 modules/img2img.py | 2 +-
 modules/shared.py  | 5 +++++
 3 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/modules/extras.py b/modules/extras.py
index 681d8d5a..4d51088b 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -72,7 +72,7 @@ def run_extras(extras_mode, resize_mode, image, image_folder, input_dir, output_
 
         if input_dir == '':
             return outputs, "Please select an input directory.", ''
-        image_list = [file for file in [os.path.join(input_dir, x) for x in sorted(os.listdir(input_dir))] if os.path.isfile(file)]
+        image_list = shared.listfiles(input_dir)
         for img in image_list:
             try:
                 image = Image.open(img)
diff --git a/modules/img2img.py b/modules/img2img.py
index 9c0cf23e..efda26e1 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -19,7 +19,7 @@ import modules.scripts
 def process_batch(p, input_dir, output_dir, args):
     processing.fix_seed(p)
 
-    images = [file for file in [os.path.join(input_dir, x) for x in os.listdir(input_dir)] if os.path.isfile(file)]
+    images = shared.listfiles(input_dir)
 
     print(f"Will process {len(images)} images, creating {p.n_iter * p.batch_size} new images for each.")
 
diff --git a/modules/shared.py b/modules/shared.py
index 7c428d90..7e634423 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -450,3 +450,8 @@ total_tqdm = TotalTQDM()
 
 mem_mon = modules.memmon.MemUsageMonitor("MemMon", device, opts)
 mem_mon.start()
+
+
+def listfiles(dirname):
+    filenames = [os.path.join(dirname, x) for x in sorted(os.listdir(dirname)) if not x.startswith(".")]
+    return [file for file in filenames if os.path.isfile(file)]

From 2d220afb24bd9812d5124814f670ec2a1ff5b0fe Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 08:26:12 +0300
Subject: [PATCH 271/321] fix open folder button not working

---
 modules/ui.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/ui.py b/modules/ui.py
index 922a2163..20cc10cf 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -631,9 +631,9 @@ Requested path was: {f}
 
                     buttons = parameters_copypaste.create_buttons(["img2img", "inpaint", "extras"])
                     button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'
-                    open_folder = gr.Button(folder_symbol, elem_id=button_id)
+                    open_folder_button = gr.Button(folder_symbol, elem_id=button_id)
 
-                open_folder.click(
+                open_folder_button.click(
                     fn=lambda: open_folder(opts.outdir_samples or outdir),
                     inputs=[],
                     outputs=[],

From a33d0a9a65189be35038be5765f2b4d1b19bab0f Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 08:28:48 +0300
Subject: [PATCH 272/321] remove weird spaces added to ui.py over time

---
 modules/ui.py | 51 +++++++++++++++++++++++++--------------------------
 1 file changed, 25 insertions(+), 26 deletions(-)

diff --git a/modules/ui.py b/modules/ui.py
index 20cc10cf..46657dd4 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -596,7 +596,7 @@ def create_refresh_button(refresh_component, refresh_method, refreshed_args, ele
     )
     return refresh_button
 
-def create_output_panel(tabname, outdir):    
+def create_output_panel(tabname, outdir):
     def open_folder(f):
         if not os.path.exists(f):
             print(f'Folder "{f}" does not exist. After you create an image, the folder will be created.')
@@ -618,11 +618,11 @@ Requested path was: {f}
                 sp.Popen(["open", path])
             else:
                 sp.Popen(["xdg-open", path])
-    
-    with gr.Column(variant='panel'):        
-            with gr.Group():                
+
+    with gr.Column(variant='panel'):
+            with gr.Group():
                 result_gallery = gr.Gallery(label='Output', show_label=False, elem_id=f"{tabname}_gallery").style(grid=4)
-               
+
             generation_info = None
             with gr.Column():
                 with gr.Row():
@@ -639,7 +639,7 @@ Requested path was: {f}
                     outputs=[],
                 )
 
-                if tabname != "extras":           
+                if tabname != "extras":
                     with gr.Row():
                         do_make_zip = gr.Checkbox(label="Make Zip when Save?", value=False)
 
@@ -671,8 +671,7 @@ Requested path was: {f}
                     html_info = gr.HTML()
                 parameters_copypaste.bind_buttons(buttons, result_gallery, "txt2img" if tabname == "txt2img" else None)
                 return result_gallery, generation_info if tabname != "extras" else html_info_x, html_info
-                    
-            
+
 
 def create_ui(wrap_gradio_gpu_call):
     import modules.img2img
@@ -723,10 +722,10 @@ def create_ui(wrap_gradio_gpu_call):
                 with gr.Group():
                     custom_inputs = modules.scripts.scripts_txt2img.setup_ui(is_img2img=False)
 
-     
 
-            txt2img_gallery, generation_info, html_info = create_output_panel("txt2img", opts.outdir_txt2img_samples)  
-                
+
+            txt2img_gallery, generation_info, html_info = create_output_panel("txt2img", opts.outdir_txt2img_samples)
+
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
 
@@ -781,7 +780,7 @@ def create_ui(wrap_gradio_gpu_call):
                 fn=lambda x: gr_show(x),
                 inputs=[enable_hr],
                 outputs=[hr_options],
-            )            
+            )
 
             roll.click(
                 fn=roll_artist,
@@ -902,7 +901,7 @@ def create_ui(wrap_gradio_gpu_call):
                 with gr.Group():
                     custom_inputs = modules.scripts.scripts_img2img.setup_ui(is_img2img=True)
 
-            img2img_gallery, generation_info, html_info = create_output_panel("img2img", opts.outdir_img2img_samples)                 
+            img2img_gallery, generation_info, html_info = create_output_panel("img2img", opts.outdir_img2img_samples)
 
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
@@ -990,7 +989,7 @@ def create_ui(wrap_gradio_gpu_call):
                     inputs=[init_img],
                     outputs=[img2img_prompt],
             )
-           
+
 
             roll.click(
                 fn=roll_artist,
@@ -1045,7 +1044,7 @@ def create_ui(wrap_gradio_gpu_call):
                 (denoising_strength, "Denoising strength"),
                 *modules.scripts.scripts_img2img.infotext_fields
             ]
-            parameters_copypaste.add_paste_fields("img2img", init_img, img2img_paste_fields) 
+            parameters_copypaste.add_paste_fields("img2img", init_img, img2img_paste_fields)
             parameters_copypaste.add_paste_fields("inpaint", init_img_with_mask, img2img_paste_fields)
 
 
@@ -1077,9 +1076,9 @@ def create_ui(wrap_gradio_gpu_call):
                                 upscaling_resize_w = gr.Number(label="Width", value=512, precision=0)
                                 upscaling_resize_h = gr.Number(label="Height", value=512, precision=0)
                             upscaling_crop = gr.Checkbox(label='Crop to fit', value=True)
-                
+
                 with gr.Group():
-                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index") 
+                    extras_upscaler_1 = gr.Radio(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
 
                 with gr.Group():
                     extras_upscaler_2 = gr.Radio(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
@@ -1125,7 +1124,7 @@ def create_ui(wrap_gradio_gpu_call):
                 html_info,
             ]
         )
-        parameters_copypaste.add_paste_fields("extras", extras_image, None) 
+        parameters_copypaste.add_paste_fields("extras", extras_image, None)
 
 
     with gr.Blocks(analytics_enabled=False) as pnginfo_interface:
@@ -1139,14 +1138,14 @@ def create_ui(wrap_gradio_gpu_call):
                 html2 = gr.HTML()
                 with gr.Row():
                     buttons = parameters_copypaste.create_buttons(["txt2img", "img2img", "inpaint", "extras"])
-                parameters_copypaste.bind_buttons(buttons, image, generation_info)                
-                
+                parameters_copypaste.bind_buttons(buttons, image, generation_info)
+
         image.change(
             fn=wrap_gradio_call(modules.extras.run_pnginfo),
             inputs=[image],
             outputs=[html, generation_info, html2],
         )
-   
+
     with gr.Blocks() as modelmerger_interface:
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):
@@ -1569,7 +1568,7 @@ def create_ui(wrap_gradio_gpu_call):
             column.__exit__()
 
 
-        
+
 
     interfaces = [
         (txt2img_interface, "txt2img", "txt2img"),
@@ -1582,7 +1581,7 @@ def create_ui(wrap_gradio_gpu_call):
 
     interfaces += script_callbacks.ui_tabs_callback()
 
-    interfaces += [(settings_interface, "Settings", "settings")]       
+    interfaces += [(settings_interface, "Settings", "settings")]
 
     css = ""
 
@@ -1661,7 +1660,7 @@ def create_ui(wrap_gradio_gpu_call):
                 component_dict['sd_model_checkpoint'],
             ]
         )
- 
+
 
         settings_map = {
             'sd_hypernetwork': 'Hypernet',
@@ -1669,7 +1668,7 @@ def create_ui(wrap_gradio_gpu_call):
             'sd_model_checkpoint': 'Model hash',
         }
 
-        parameters_copypaste.run_bind()       
+        parameters_copypaste.run_bind()
 
     ui_config_file = cmd_opts.ui_config_file
     ui_settings = {}
@@ -1749,7 +1748,7 @@ def load_javascript(raw_response):
         javascript = f'<script>{jsfile.read()}</script>'
 
     scripts_list = modules.scripts.list_scripts("javascript", ".js")
-    
+
     for basedir, filename, path in scripts_list:
         with open(path, "r", encoding="utf8") as jsfile:
             javascript += f"\n<!-- {filename} --><script>{jsfile.read()}</script>"

From 45ca67f35a9dd4c05fae295e54b38bbbd9ae5a84 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 08:29:50 +0300
Subject: [PATCH 273/321] remove repeated gitignore entries

---
 .gitignore | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/.gitignore b/.gitignore
index 26be36b3..8fa05852 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,6 +29,3 @@ notification.mp3
 /textual_inversion
 .vscode
 /extensions
-/webui-user.bat
-/webui-user.sh
-

From 3c207ca68483b3406faf519bde2743b578dac222 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 08:42:34 +0300
Subject: [PATCH 274/321] add needed imports fr new code in copypaste.py

---
 modules/generation_parameters_copypaste.py | 9 +++++++++
 modules/ui.py                              | 7 -------
 2 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index 2b80737a..224a17ea 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -1,3 +1,5 @@
+import base64
+import io
 import os
 import re
 import gradio as gr
@@ -14,6 +16,7 @@ type_of_gr_update = type(gr.update())
 paste_fields = {}
 bind_list = []
 
+
 def quote(text):
     if ',' not in str(text):
         return text
@@ -23,6 +26,7 @@ def quote(text):
     text = text.replace('"', '\\"')
     return f'"{text}"'
 
+
 def image_from_url_text(filedata):
     if type(filedata) == dict and filedata["is_file"]:
         filename = filedata["name"]
@@ -45,19 +49,23 @@ def image_from_url_text(filedata):
     image = Image.open(io.BytesIO(filedata))
     return image
 
+
 def add_paste_fields(tabname, init_img, fields):
     paste_fields[tabname] = {"init_img":init_img, "fields": fields}
 
+
 def create_buttons(tabs_list):
     buttons = {}
     for tab in tabs_list:
         buttons[tab] = gr.Button(f"Send to {tab}")
     return buttons
 
+
 #if send_generate_info is a tab name, mean generate_info comes from the params fields of the tab 
 def bind_buttons(buttons, send_image, send_generate_info):
     bind_list.append([buttons, send_image, send_generate_info])
 
+
 def run_bind():
     for buttons, send_image, send_generate_info in bind_list:
         for tab in buttons:
@@ -98,6 +106,7 @@ def run_bind():
                 outputs=None,
             )
 
+
 def parse_generation_parameters(x: str):
     """parses generation parameters string, the one you see in text field under the picture in UI:
 ```
diff --git a/modules/ui.py b/modules/ui.py
index 46657dd4..280910d0 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1,6 +1,4 @@
-import base64
 import html
-import io
 import json
 import math
 import mimetypes
@@ -18,13 +16,8 @@ import gradio as gr
 import gradio.routes
 import gradio.utils
 import numpy as np
-import piexif
-import torch
 from PIL import Image, PngImagePlugin
 
-import gradio as gr
-import gradio.utils
-import gradio.routes
 
 from modules import sd_hijack, sd_models, localization, script_callbacks
 from modules.paths import script_path

From 2922d8144f677ea3c37189a2b2e3c3d3ff6d3916 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 09:01:04 +0300
Subject: [PATCH 275/321] make existing image browser extension not break

---
 modules/generation_parameters_copypaste.py | 19 ++++++++++++++-----
 1 file changed, 14 insertions(+), 5 deletions(-)

diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index 224a17ea..d590e9ee 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -51,7 +51,14 @@ def image_from_url_text(filedata):
 
 
 def add_paste_fields(tabname, init_img, fields):
-    paste_fields[tabname] = {"init_img":init_img, "fields": fields}
+    paste_fields[tabname] = {"init_img": init_img, "fields": fields}
+
+    # backwards compatibility for existing extensions
+    import modules.ui
+    if tabname == 'txt2img':
+        modules.ui.txt2img_paste_fields = fields
+    elif tabname == 'img2img':
+        modules.ui.img2img_paste_fields = fields
 
 
 def create_buttons(tabs_list):
@@ -61,7 +68,7 @@ def create_buttons(tabs_list):
     return buttons
 
 
-#if send_generate_info is a tab name, mean generate_info comes from the params fields of the tab 
+#if send_generate_info is a tab name, mean generate_info comes from the params fields of the tab
 def bind_buttons(buttons, send_image, send_generate_info):
     bind_list.append([buttons, send_image, send_generate_info])
 
@@ -84,12 +91,12 @@ def run_bind():
                         inputs=[send_image],
                         outputs=[paste_fields[tab]["init_img"]],
                     )
-            
+
             if send_generate_info and paste_fields[tab]["fields"] is not None:
                 paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration', 'Size-1', 'Size-2']
                 if shared.opts.send_seed:
                     paste_field_names += ["Seed"]
-                if send_generate_info in paste_fields:                    
+                if send_generate_info in paste_fields:
                     button.click(
                         fn=lambda *x:x,
                         inputs=[field for field,name in paste_fields[send_generate_info]["fields"] if name in paste_field_names],
@@ -154,7 +161,8 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
 
     return res
 
-def connect_paste(button, paste_fields, input_comp):
+
+def connect_paste(button, paste_fields, input_comp, jsfunc=None):
     def paste_func(prompt):
         if not prompt and not shared.cmd_opts.hide_ui_dir_config:
             filename = os.path.join(script_path, "params.txt")
@@ -192,6 +200,7 @@ def connect_paste(button, paste_fields, input_comp):
 
     button.click(
         fn=paste_func,
+        _js=jsfunc,
         inputs=[input_comp],
         outputs=[x[0] for x in paste_fields],
     )

From 78b879b4426d3730acdf3f4737d37a2ee29cb023 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 09:02:02 +0300
Subject: [PATCH 276/321] delete the submodule dir (why do you keep doing this)

---
 extensions/stable-diffusion-webui-inspiration | 1 -
 1 file changed, 1 deletion(-)
 delete mode 160000 extensions/stable-diffusion-webui-inspiration

diff --git a/extensions/stable-diffusion-webui-inspiration b/extensions/stable-diffusion-webui-inspiration
deleted file mode 160000
index c4b9f5c2..00000000
--- a/extensions/stable-diffusion-webui-inspiration
+++ /dev/null
@@ -1 +0,0 @@
-Subproject commit c4b9f5c233c8619ee140b763e706edc26cae0f1d

From 28e6d4a54ea1fa1e34ad1ea0742ab2003ed7fa7f Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 09:13:36 +0300
Subject: [PATCH 277/321] add element ids for save buttons for #3798

---
 modules/ui.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/ui.py b/modules/ui.py
index 66b743f5..3c34eca0 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -620,7 +620,7 @@ Requested path was: {f}
             with gr.Column():
                 with gr.Row():
                     if tabname != "extras":
-                        save = gr.Button('Save')
+                        save = gr.Button('Save', elem_id=f'save_{tabname}')
 
                     buttons = parameters_copypaste.create_buttons(["img2img", "inpaint", "extras"])
                     button_id = "hidden_element" if shared.cmd_opts.hide_ui_dir_config else 'open_folder'

From beb6fc29798d82f1b08a34cf5dd79e4ab29d4cd0 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 09:57:22 +0300
Subject: [PATCH 278/321] move send seed option to UI section and make it false
 by default

---
 modules/shared.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/shared.py b/modules/shared.py
index 5d1ceb85..fb84afd8 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -280,7 +280,6 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "filter_nsfw": OptionInfo(False, "Filter NSFW content"),
     'CLIP_stop_at_last_layers': OptionInfo(1, "Stop At last layers of CLIP model", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
     "random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
-    "send_seed": OptionInfo(False, "Send seed when sending prompt or image to other interface"),
 }))
 
 options_templates.update(options_section(('interrogate', "Interrogate Options"), {
@@ -306,6 +305,7 @@ options_templates.update(options_section(('ui', "User interface"), {
     "add_model_hash_to_info": OptionInfo(True, "Add model hash to generation information"),
     "add_model_name_to_info": OptionInfo(False, "Add model name to generation information"),
     "disable_weights_auto_swap": OptionInfo(False, "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint."),
+    "send_seed": OptionInfo(True, "Send seed when sending prompt or image to other interface"),
     "font": OptionInfo("", "Font for image grids that have text"),
     "js_modal_lightbox": OptionInfo(True, "Enable full page image viewer"),
     "js_modal_lightbox_initially_zoomed": OptionInfo(True, "Show images zoomed in by default in full page image viewer"),

From 2c4d20388425a5e40b93eef3722e42e8d375fbb4 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Sat, 29 Oct 2022 00:36:51 -0700
Subject: [PATCH 279/321] Revert "Explicitly state when Hypernet is none."

---
 modules/processing.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/processing.py b/modules/processing.py
index 377c0978..04fdda7c 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -395,7 +395,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
         "Size": f"{p.width}x{p.height}",
         "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
         "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
-        "Hypernet": ("None" if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
+        "Hypernet": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
         "Hypernetwork strength": (None if shared.loaded_hypernetwork is None else shared.opts.sd_hypernetwork_strength),
         "Batch size": (None if p.batch_size < 2 else p.batch_size),
         "Batch pos": (None if p.batch_size < 2 else position_in_batch),

From 35c45df28b303a05d56a13cb56d4046f08cf8c25 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 10:56:19 +0300
Subject: [PATCH 280/321] =?UTF-8?q?fix=20broken=20=E2=86=99=20button,=20fi?=
 =?UTF-8?q?x=20field=20paste=20ignoring=20most=20of=20useful=20fields=20fo?=
 =?UTF-8?q?r=20for=20#3768?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 modules/generation_parameters_copypaste.py | 38 +++++++++++++------
 modules/ui.py                              | 43 ++++++++--------------
 2 files changed, 42 insertions(+), 39 deletions(-)

diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index d590e9ee..bbaad42e 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -6,7 +6,7 @@ import gradio as gr
 from modules.shared import script_path
 from modules import shared
 import tempfile
-from PIL import Image, PngImagePlugin
+from PIL import Image
 
 re_param_code = r'\s*([\w ]+):\s*("(?:\\|\"|[^\"])+"|[^,]*)(?:,|$)'
 re_param = re.compile(re_param_code)
@@ -61,6 +61,24 @@ def add_paste_fields(tabname, init_img, fields):
         modules.ui.img2img_paste_fields = fields
 
 
+def integrate_settings_paste_fields(component_dict):
+    from modules import ui
+
+    settings_map = {
+        'sd_hypernetwork': 'Hypernet',
+        'CLIP_stop_at_last_layers': 'Clip skip',
+        'sd_model_checkpoint': 'Model hash',
+    }
+    settings_paste_fields = [
+        (component_dict[k], lambda d, k=k, v=v: ui.apply_setting(k, d.get(v, None)))
+        for k, v in settings_map.items()
+    ]
+
+    for tabname, info in paste_fields.items():
+        if info["fields"] is not None:
+            info["fields"] += settings_paste_fields
+
+
 def create_buttons(tabs_list):
     buttons = {}
     for tab in tabs_list:
@@ -87,24 +105,22 @@ def run_bind():
                     )
                 else:
                     button.click(
-                        fn=lambda x:x,
+                        fn=lambda x: x,
                         inputs=[send_image],
                         outputs=[paste_fields[tab]["init_img"]],
                     )
 
             if send_generate_info and paste_fields[tab]["fields"] is not None:
-                paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration', 'Size-1', 'Size-2']
-                if shared.opts.send_seed:
-                    paste_field_names += ["Seed"]
                 if send_generate_info in paste_fields:
-                    button.click(
-                        fn=lambda *x:x,
-                        inputs=[field for field,name in paste_fields[send_generate_info]["fields"] if name in paste_field_names],
-                        outputs=[field for field,name in paste_fields[tab]["fields"] if name in paste_field_names],
-                    )
+                    paste_field_names = ['Prompt', 'Negative prompt', 'Steps', 'Face restoration', 'Size-1', 'Size-2'] + (["Seed"] if shared.opts.send_seed else [])
 
+                    button.click(
+                        fn=lambda *x: x,
+                        inputs=[field for field, name in paste_fields[send_generate_info]["fields"] if name in paste_field_names],
+                        outputs=[field for field, name in paste_fields[tab]["fields"] if name in paste_field_names],
+                    )
                 else:
-                    connect_paste(button, [(field, name) for field, name in paste_fields[tab]["fields"]  if name in paste_field_names], send_generate_info)
+                    connect_paste(button, paste_fields[tab]["fields"], send_generate_info)
 
             button.click(
                 fn=None,
diff --git a/modules/ui.py b/modules/ui.py
index 3c34eca0..5055ca64 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -589,6 +589,7 @@ def create_refresh_button(refresh_component, refresh_method, refreshed_args, ele
     )
     return refresh_button
 
+
 def create_output_panel(tabname, outdir):
     def open_folder(f):
         if not os.path.exists(f):
@@ -716,6 +717,7 @@ def create_ui(wrap_gradio_gpu_call):
                     custom_inputs = modules.scripts.scripts_txt2img.setup_ui(is_img2img=False)
 
             txt2img_gallery, generation_info, html_info = create_output_panel("txt2img", opts.outdir_txt2img_samples)
+            parameters_copypaste.bind_buttons({"txt2img": txt2img_paste}, None, txt2img_prompt)
 
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
@@ -784,7 +786,7 @@ def create_ui(wrap_gradio_gpu_call):
                 ]
             )
 
-            parameters_copypaste.add_paste_fields("txt2img", None, [
+            txt2img_paste_fields = [
                 (txt2img_prompt, "Prompt"),
                 (txt2img_negative_prompt, "Negative prompt"),
                 (steps, "Steps"),
@@ -805,7 +807,8 @@ def create_ui(wrap_gradio_gpu_call):
                 (firstphase_width, "First pass size-1"),
                 (firstphase_height, "First pass size-2"),
                 *modules.scripts.scripts_txt2img.infotext_fields
-            ])
+            ]
+            parameters_copypaste.add_paste_fields("txt2img", None, txt2img_paste_fields)
 
             txt2img_preview_params = [
                 txt2img_prompt,
@@ -893,6 +896,7 @@ def create_ui(wrap_gradio_gpu_call):
                     custom_inputs = modules.scripts.scripts_img2img.setup_ui(is_img2img=True)
 
             img2img_gallery, generation_info, html_info = create_output_panel("img2img", opts.outdir_img2img_samples)
+            parameters_copypaste.bind_buttons({"img2img": img2img_paste}, None, img2img_prompt)
 
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
@@ -1038,7 +1042,6 @@ def create_ui(wrap_gradio_gpu_call):
             parameters_copypaste.add_paste_fields("img2img", init_img, img2img_paste_fields)
             parameters_copypaste.add_paste_fields("inpaint", init_img_with_mask, img2img_paste_fields)
 
-
     with gr.Blocks(analytics_enabled=False) as extras_interface:
         with gr.Row().style(equal_height=False):
             with gr.Column(variant='panel'):
@@ -1050,12 +1053,8 @@ def create_ui(wrap_gradio_gpu_call):
                         image_batch = gr.File(label="Batch Process", file_count="multiple", interactive=True, type="file")
 
                     with gr.TabItem('Batch from Directory'):
-                        extras_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs,
-                            placeholder="A directory on the same machine where the server is running."
-                        )
-                        extras_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs,
-                            placeholder="Leave blank to save images to the default path."
-                        )
+                        extras_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs, placeholder="A directory on the same machine where the server is running.")
+                        extras_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, placeholder="Leave blank to save images to the default path.")
                         show_extras_results = gr.Checkbox(label='Show result images', value=True)
 
                 with gr.Tabs(elem_id="extras_resize_mode"):
@@ -1087,7 +1086,6 @@ def create_ui(wrap_gradio_gpu_call):
 
                 submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
 
-
             result_images, html_info_x, html_info = create_output_panel("extras", opts.outdir_extras_samples)
 
         submit.click(
@@ -1121,7 +1119,6 @@ def create_ui(wrap_gradio_gpu_call):
         )
         parameters_copypaste.add_paste_fields("extras", extras_image, None)
 
-
         extras_image.change(
             fn=modules.extras.clear_cache,
             inputs=[], outputs=[]
@@ -1587,9 +1584,6 @@ def create_ui(wrap_gradio_gpu_call):
         if column is not None:
             column.__exit__()
 
-
-
-
     interfaces = [
         (txt2img_interface, "txt2img", "txt2img"),
         (img2img_interface, "img2img", "img2img"),
@@ -1599,10 +1593,6 @@ def create_ui(wrap_gradio_gpu_call):
         (train_interface, "Train", "ti"),
     ]
 
-    interfaces += script_callbacks.ui_tabs_callback()
-
-    interfaces += [(settings_interface, "Settings", "settings")]
-
     css = ""
 
     for cssfile in modules.scripts.list_files_with_name("style.css"):
@@ -1619,6 +1609,9 @@ def create_ui(wrap_gradio_gpu_call):
     if not cmd_opts.no_progressbar_hiding:
         css += css_hide_progressbar
 
+    interfaces += script_callbacks.ui_tabs_callback()
+    interfaces += [(settings_interface, "Settings", "settings")]
+
     with gr.Blocks(css=css, analytics_enabled=False, title="Stable Diffusion") as demo:
         with gr.Row(elem_id="quicksettings"):
             for i, k, item in quicksettings_list:
@@ -1627,6 +1620,9 @@ def create_ui(wrap_gradio_gpu_call):
 
         settings_interface.gradio_ref = demo
 
+        parameters_copypaste.integrate_settings_paste_fields(component_dict)
+        parameters_copypaste.run_bind()
+
         with gr.Tabs(elem_id="tabs") as tabs:
             for interface, label, ifid in interfaces:
                 with gr.TabItem(label, id=ifid, elem_id='tab_' + ifid):
@@ -1681,15 +1677,6 @@ def create_ui(wrap_gradio_gpu_call):
             ]
         )
 
-
-        settings_map = {
-            'sd_hypernetwork': 'Hypernet',
-            'CLIP_stop_at_last_layers': 'Clip skip',
-            'sd_model_checkpoint': 'Model hash',
-        }
-
-        parameters_copypaste.run_bind()
-
     ui_config_file = cmd_opts.ui_config_file
     ui_settings = {}
     settings_count = len(ui_settings)
@@ -1708,7 +1695,7 @@ def create_ui(wrap_gradio_gpu_call):
         def apply_field(obj, field, condition=None, init_field=None):
             key = path + "/" + field
 
-            if getattr(obj,'custom_script_source',None) is not None:
+            if getattr(obj, 'custom_script_source', None) is not None:
               key = 'customscript/' + obj.custom_script_source + '/' + key
 
             if getattr(obj, 'do_not_save_to_config', False):

From a5f3adbdd7d9b8245f7782216ac48913660e6bb5 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sat, 29 Oct 2022 15:37:24 +0700
Subject: [PATCH 281/321] Allow trailing comma in learning rate

---
 modules/textual_inversion/learn_schedule.py | 33 +++++++++++++--------
 1 file changed, 20 insertions(+), 13 deletions(-)

diff --git a/modules/textual_inversion/learn_schedule.py b/modules/textual_inversion/learn_schedule.py
index 3a736065..76e611b6 100644
--- a/modules/textual_inversion/learn_schedule.py
+++ b/modules/textual_inversion/learn_schedule.py
@@ -11,23 +11,30 @@ class LearnScheduleIterator:
         self.rates = []
         self.it = 0
         self.maxit = 0
-        for i, pair in enumerate(pairs):
-            tmp = pair.split(':')
-            if len(tmp) == 2:
-                step = int(tmp[1])
-                if step > cur_step:
-                    self.rates.append((float(tmp[0]), min(step, max_steps)))
-                    self.maxit += 1
-                    if step > max_steps:
+        try:
+            for i, pair in enumerate(pairs):
+                if not pair.strip():
+                    continue
+                tmp = pair.split(':')
+                if len(tmp) == 2:
+                    step = int(tmp[1])
+                    if step > cur_step:
+                        self.rates.append((float(tmp[0]), min(step, max_steps)))
+                        self.maxit += 1
+                        if step > max_steps:
+                            return
+                    elif step == -1:
+                        self.rates.append((float(tmp[0]), max_steps))
+                        self.maxit += 1
                         return
-                elif step == -1:
+                else:
                     self.rates.append((float(tmp[0]), max_steps))
                     self.maxit += 1
                     return
-            else:
-                self.rates.append((float(tmp[0]), max_steps))
-                self.maxit += 1
-                return
+            assert self.rates
+        except (ValueError, AssertionError):
+            raise Exception("Invalid learning rate schedule")
+
 
     def __iter__(self):
         return self

From ef4c94e1cfe66299227aa95a28c2380d21cb1600 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sat, 29 Oct 2022 15:42:51 +0700
Subject: [PATCH 282/321] Improve lr schedule error message

---
 modules/textual_inversion/learn_schedule.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/textual_inversion/learn_schedule.py b/modules/textual_inversion/learn_schedule.py
index 76e611b6..dd0c0ad1 100644
--- a/modules/textual_inversion/learn_schedule.py
+++ b/modules/textual_inversion/learn_schedule.py
@@ -4,7 +4,7 @@ import tqdm
 class LearnScheduleIterator:
     def __init__(self, learn_rate, max_steps, cur_step=0):
         """
-        specify learn_rate as "0.001:100, 0.00001:1000, 1e-5:10000" to have lr of 0.001 until step 100, 0.00001 until 1000, 1e-5:10000 until 10000
+        specify learn_rate as "0.001:100, 0.00001:1000, 1e-5:10000" to have lr of 0.001 until step 100, 0.00001 until 1000, and 1e-5 until 10000
         """
 
         pairs = learn_rate.split(',')
@@ -33,7 +33,7 @@ class LearnScheduleIterator:
                     return
             assert self.rates
         except (ValueError, AssertionError):
-            raise Exception("Invalid learning rate schedule")
+            raise Exception('Invalid learning rate schedule. It should be a number or, for example, like "0.001:100, 0.00001:1000, 1e-5:10000" to have lr of 0.001 until step 100, 0.00001 until 1000, and 1e-5 until 10000.')
 
 
     def __iter__(self):

From ab27c111d06ec920791c73eea25ad9a61671852e Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sat, 29 Oct 2022 18:09:17 +0700
Subject: [PATCH 283/321] Add input validations before loading dataset for
 training

---
 modules/hypernetworks/hypernetwork.py         | 38 ++++++++------
 .../textual_inversion/textual_inversion.py    | 50 ++++++++++++++-----
 2 files changed, 59 insertions(+), 29 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 2e84583b..38f35c58 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -332,7 +332,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     # images allows training previews to have infotext. Importing it at the top causes a circular import problem.
     from modules import images
 
-    assert hypernetwork_name, 'hypernetwork not selected'
+    save_hypernetwork_every = save_hypernetwork_every or 0
+    create_image_every = create_image_every or 0
+    textual_inversion.validate_train_inputs(hypernetwork_name, learn_rate, batch_size, data_root, template_file, steps, save_hypernetwork_every, create_image_every, log_directory, name="hypernetwork")
 
     path = shared.hypernetworks.get(hypernetwork_name, None)
     shared.loaded_hypernetwork = Hypernetwork()
@@ -358,39 +360,43 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     else:
         images_dir = None
 
+    hypernetwork = shared.loaded_hypernetwork
+
+    ititial_step = hypernetwork.step or 0
+    if ititial_step > steps:
+        shared.state.textinfo = f"Model has already been trained beyond specified max steps"
+        return hypernetwork, filename
+
+    scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
+    
+    # dataset loading may take a while, so input validations and early returns should be done before this
     shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
     with torch.autocast("cuda"):
         ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, device=devices.device, template_file=template_file, include_cond=True, batch_size=batch_size)
+
     if unload:
         shared.sd_model.cond_stage_model.to(devices.cpu)
         shared.sd_model.first_stage_model.to(devices.cpu)
 
-    hypernetwork = shared.loaded_hypernetwork
-    weights = hypernetwork.weights()
-    for weight in weights:
-        weight.requires_grad = True
-
     size = len(ds.indexes)
     loss_dict = defaultdict(lambda : deque(maxlen = 1024))
     losses = torch.zeros((size,))
     previous_mean_losses = [0]
     previous_mean_loss = 0
     print("Mean loss of {} elements".format(size))
-
-    last_saved_file = "<none>"
-    last_saved_image = "<none>"
-    forced_filename = "<none>"
-
-    ititial_step = hypernetwork.step or 0
-    if ititial_step > steps:
-        return hypernetwork, filename
-
-    scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
+    
+    weights = hypernetwork.weights()
+    for weight in weights:
+        weight.requires_grad = True
     # if optimizer == "AdamW": or else Adam / AdamW / SGD, etc...
     optimizer = torch.optim.AdamW(weights, lr=scheduler.learn_rate)
 
     steps_without_grad = 0
 
+    last_saved_file = "<none>"
+    last_saved_image = "<none>"
+    forced_filename = "<none>"
+
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
     for i, entries in pbar:
         hypernetwork.step = i + ititial_step
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 17dfb223..44f06443 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -204,9 +204,30 @@ def write_loss(log_directory, filename, step, epoch_len, values):
             **values,
         })
 
+def validate_train_inputs(model_name, learn_rate, batch_size, data_root, template_file, steps, save_model_every, create_image_every, log_directory, name="embedding"):
+    assert model_name, f"{name} not selected"
+    assert learn_rate, "Learning rate is empty or 0"
+    assert isinstance(batch_size, int), "Batch size must be integer"
+    assert batch_size > 0, "Batch size must be positive"
+    assert data_root, "Dataset directory is empty"
+    assert os.path.isdir(data_root), "Dataset directory doesn't exist"
+    assert os.listdir(data_root), "Dataset directory is empty"
+    assert template_file, "Prompt template file is empty"
+    assert os.path.isfile(template_file), "Prompt template file doesn't exist"
+    assert steps, "Max steps is empty or 0"
+    assert isinstance(steps, int), "Max steps must be integer"
+    assert steps > 0 , "Max steps must be positive"
+    assert isinstance(save_model_every, int), "Save {name} must be integer"
+    assert save_model_every >= 0 , "Save {name} must be positive or 0"
+    assert isinstance(create_image_every, int), "Create image must be integer"
+    assert create_image_every >= 0 , "Create image must be positive or 0"
+    if save_model_every or create_image_every:
+        assert log_directory, "Log directory is empty"
 
 def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_embedding_every, template_file, save_image_with_stored_embedding, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
-    assert embedding_name, 'embedding not selected'
+    save_embedding_every = save_embedding_every or 0
+    create_image_every = create_image_every or 0
+    validate_train_inputs(embedding_name, learn_rate, batch_size, data_root, template_file, steps, save_embedding_every, create_image_every, log_directory, name="embedding")
 
     shared.state.textinfo = "Initializing textual inversion training..."
     shared.state.job_count = steps
@@ -232,17 +253,27 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
         os.makedirs(images_embeds_dir, exist_ok=True)
     else:
         images_embeds_dir = None
-        
-    cond_model = shared.sd_model.cond_stage_model
 
-    shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
-    with torch.autocast("cuda"):
-        ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=embedding_name, model=shared.sd_model, device=devices.device, template_file=template_file, batch_size=batch_size)
+    cond_model = shared.sd_model.cond_stage_model
 
     hijack = sd_hijack.model_hijack
 
     embedding = hijack.embedding_db.word_embeddings[embedding_name]
+
+    ititial_step = embedding.step or 0
+    if ititial_step > steps:
+        shared.state.textinfo = f"Model has already been trained beyond specified max steps"
+        return embedding, filename
+
+    scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
+
+    # dataset loading may take a while, so input validations and early returns should be done before this
+    shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
+    with torch.autocast("cuda"):
+        ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=embedding_name, model=shared.sd_model, device=devices.device, template_file=template_file, batch_size=batch_size)
+
     embedding.vec.requires_grad = True
+    optimizer = torch.optim.AdamW([embedding.vec], lr=scheduler.learn_rate)
 
     losses = torch.zeros((32,))
 
@@ -251,13 +282,6 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
     forced_filename = "<none>"
     embedding_yet_to_be_embedded = False
 
-    ititial_step = embedding.step or 0
-    if ititial_step > steps:
-        return embedding, filename
-
-    scheduler = LearnRateScheduler(learn_rate, steps, ititial_step)
-    optimizer = torch.optim.AdamW([embedding.vec], lr=scheduler.learn_rate)
-
     pbar = tqdm.tqdm(enumerate(ds), total=steps-ititial_step)
     for i, entries in pbar:
         embedding.step = i + ititial_step

From 3ce2bfdf95bd5f26d0f6e250e67338ada91980d1 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sat, 29 Oct 2022 19:43:21 +0700
Subject: [PATCH 284/321] Add cleanup after training

---
 modules/hypernetworks/hypernetwork.py         | 187 +++++++++---------
 .../textual_inversion/textual_inversion.py    | 163 +++++++--------
 2 files changed, 182 insertions(+), 168 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 38f35c58..170d5ea4 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -398,110 +398,112 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     forced_filename = "<none>"
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
-    for i, entries in pbar:
-        hypernetwork.step = i + ititial_step
-        if len(loss_dict) > 0:
-            previous_mean_losses = [i[-1] for i in loss_dict.values()]
-            previous_mean_loss = mean(previous_mean_losses)
-            
-        scheduler.apply(optimizer, hypernetwork.step)
-        if scheduler.finished:
-            break
 
-        if shared.state.interrupted:
-            break
-
-        with torch.autocast("cuda"):
-            c = stack_conds([entry.cond for entry in entries]).to(devices.device)
-            # c = torch.vstack([entry.cond for entry in entries]).to(devices.device)
-            x = torch.stack([entry.latent for entry in entries]).to(devices.device)
-            loss = shared.sd_model(x, c)[0]
-            del x
-            del c
-
-            losses[hypernetwork.step % losses.shape[0]] = loss.item()
-            for entry in entries:
-                loss_dict[entry.filename].append(loss.item())
+    try:
+        for i, entries in pbar:
+            hypernetwork.step = i + ititial_step
+            if len(loss_dict) > 0:
+                previous_mean_losses = [i[-1] for i in loss_dict.values()]
+                previous_mean_loss = mean(previous_mean_losses)
                 
-            optimizer.zero_grad()
-            weights[0].grad = None
-            loss.backward()
+            scheduler.apply(optimizer, hypernetwork.step)
+            if scheduler.finished:
+                break
 
-            if weights[0].grad is None:
-                steps_without_grad += 1
+            if shared.state.interrupted:
+                break
+
+            with torch.autocast("cuda"):
+                c = stack_conds([entry.cond for entry in entries]).to(devices.device)
+                # c = torch.vstack([entry.cond for entry in entries]).to(devices.device)
+                x = torch.stack([entry.latent for entry in entries]).to(devices.device)
+                loss = shared.sd_model(x, c)[0]
+                del x
+                del c
+
+                losses[hypernetwork.step % losses.shape[0]] = loss.item()
+                for entry in entries:
+                    loss_dict[entry.filename].append(loss.item())
+                    
+                optimizer.zero_grad()
+                weights[0].grad = None
+                loss.backward()
+
+                if weights[0].grad is None:
+                    steps_without_grad += 1
+                else:
+                    steps_without_grad = 0
+                assert steps_without_grad < 10, 'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
+
+                optimizer.step()
+
+            steps_done = hypernetwork.step + 1
+
+            if torch.isnan(losses[hypernetwork.step % losses.shape[0]]): 
+                raise RuntimeError("Loss diverged.")
+            
+            if len(previous_mean_losses) > 1:
+                std = stdev(previous_mean_losses)
             else:
-                steps_without_grad = 0
-            assert steps_without_grad < 10, 'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
+                std = 0
+            dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
+            pbar.set_description(dataset_loss_info)
 
-            optimizer.step()
+            if hypernetwork_dir is not None and steps_done % save_hypernetwork_every == 0:
+                # Before saving, change name to match current checkpoint.
+                hypernetwork.name = f'{hypernetwork_name}-{steps_done}'
+                last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
+                hypernetwork.save(last_saved_file)
 
-        steps_done = hypernetwork.step + 1
+            textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
+                "loss": f"{previous_mean_loss:.7f}",
+                "learn_rate": scheduler.learn_rate
+            })
 
-        if torch.isnan(losses[hypernetwork.step % losses.shape[0]]): 
-            raise RuntimeError("Loss diverged.")
-        
-        if len(previous_mean_losses) > 1:
-            std = stdev(previous_mean_losses)
-        else:
-            std = 0
-        dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
-        pbar.set_description(dataset_loss_info)
+            if images_dir is not None and steps_done % create_image_every == 0:
+                forced_filename = f'{hypernetwork_name}-{steps_done}'
+                last_saved_image = os.path.join(images_dir, forced_filename)
 
-        if hypernetwork_dir is not None and steps_done % save_hypernetwork_every == 0:
-            # Before saving, change name to match current checkpoint.
-            hypernetwork.name = f'{hypernetwork_name}-{steps_done}'
-            last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
-            hypernetwork.save(last_saved_file)
+                optimizer.zero_grad()
+                shared.sd_model.cond_stage_model.to(devices.device)
+                shared.sd_model.first_stage_model.to(devices.device)
 
-        textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
-            "loss": f"{previous_mean_loss:.7f}",
-            "learn_rate": scheduler.learn_rate
-        })
+                p = processing.StableDiffusionProcessingTxt2Img(
+                    sd_model=shared.sd_model,
+                    do_not_save_grid=True,
+                    do_not_save_samples=True,
+                )
 
-        if images_dir is not None and steps_done % create_image_every == 0:
-            forced_filename = f'{hypernetwork_name}-{steps_done}'
-            last_saved_image = os.path.join(images_dir, forced_filename)
+                if preview_from_txt2img:
+                    p.prompt = preview_prompt
+                    p.negative_prompt = preview_negative_prompt
+                    p.steps = preview_steps
+                    p.sampler_index = preview_sampler_index
+                    p.cfg_scale = preview_cfg_scale
+                    p.seed = preview_seed
+                    p.width = preview_width
+                    p.height = preview_height
+                else:
+                    p.prompt = entries[0].cond_text
+                    p.steps = 20
 
-            optimizer.zero_grad()
-            shared.sd_model.cond_stage_model.to(devices.device)
-            shared.sd_model.first_stage_model.to(devices.device)
+                preview_text = p.prompt
 
-            p = processing.StableDiffusionProcessingTxt2Img(
-                sd_model=shared.sd_model,
-                do_not_save_grid=True,
-                do_not_save_samples=True,
-            )
+                processed = processing.process_images(p)
+                image = processed.images[0] if len(processed.images)>0 else None
 
-            if preview_from_txt2img:
-                p.prompt = preview_prompt
-                p.negative_prompt = preview_negative_prompt
-                p.steps = preview_steps
-                p.sampler_index = preview_sampler_index
-                p.cfg_scale = preview_cfg_scale
-                p.seed = preview_seed
-                p.width = preview_width
-                p.height = preview_height
-            else:
-                p.prompt = entries[0].cond_text
-                p.steps = 20
+                if unload:
+                    shared.sd_model.cond_stage_model.to(devices.cpu)
+                    shared.sd_model.first_stage_model.to(devices.cpu)
 
-            preview_text = p.prompt
+                if image is not None:
+                    shared.state.current_image = image
+                    last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
+                    last_saved_image += f", prompt: {preview_text}"
 
-            processed = processing.process_images(p)
-            image = processed.images[0] if len(processed.images)>0 else None
+            shared.state.job_no = hypernetwork.step
 
-            if unload:
-                shared.sd_model.cond_stage_model.to(devices.cpu)
-                shared.sd_model.first_stage_model.to(devices.cpu)
-
-            if image is not None:
-                shared.state.current_image = image
-                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
-                last_saved_image += f", prompt: {preview_text}"
-
-        shared.state.job_no = hypernetwork.step
-
-        shared.state.textinfo = f"""
+            shared.state.textinfo = f"""
 <p>
 Loss: {previous_mean_loss:.7f}<br/>
 Step: {hypernetwork.step}<br/>
@@ -510,7 +512,14 @@ Last saved hypernetwork: {html.escape(last_saved_file)}<br/>
 Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
-        
+    finally:
+        if weights:
+            for weight in weights:
+                weight.requires_grad = False
+        if unload:
+            shared.sd_model.cond_stage_model.to(devices.device)
+            shared.sd_model.first_stage_model.to(devices.device)
+
     report_statistics(loss_dict)
     checkpoint = sd_models.select_checkpoint()
 
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 44f06443..fd7f0897 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -283,111 +283,113 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
     embedding_yet_to_be_embedded = False
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps-ititial_step)
-    for i, entries in pbar:
-        embedding.step = i + ititial_step
 
-        scheduler.apply(optimizer, embedding.step)
-        if scheduler.finished:
-            break
+    try:
+        for i, entries in pbar:
+            embedding.step = i + ititial_step
 
-        if shared.state.interrupted:
-            break
+            scheduler.apply(optimizer, embedding.step)
+            if scheduler.finished:
+                break
 
-        with torch.autocast("cuda"):
-            c = cond_model([entry.cond_text for entry in entries])
-            x = torch.stack([entry.latent for entry in entries]).to(devices.device)
-            loss = shared.sd_model(x, c)[0]
-            del x
+            if shared.state.interrupted:
+                break
 
-            losses[embedding.step % losses.shape[0]] = loss.item()
+            with torch.autocast("cuda"):
+                c = cond_model([entry.cond_text for entry in entries])
+                x = torch.stack([entry.latent for entry in entries]).to(devices.device)
+                loss = shared.sd_model(x, c)[0]
+                del x
 
-            optimizer.zero_grad()
-            loss.backward()
-            optimizer.step()
+                losses[embedding.step % losses.shape[0]] = loss.item()
 
-        steps_done = embedding.step + 1
+                optimizer.zero_grad()
+                loss.backward()
+                optimizer.step()
 
-        epoch_num = embedding.step // len(ds)
-        epoch_step = embedding.step % len(ds)
+            steps_done = embedding.step + 1
 
-        pbar.set_description(f"[Epoch {epoch_num}: {epoch_step+1}/{len(ds)}]loss: {losses.mean():.7f}")
+            epoch_num = embedding.step // len(ds)
+            epoch_step = embedding.step % len(ds)
 
-        if embedding_dir is not None and steps_done % save_embedding_every == 0:
-            # Before saving, change name to match current checkpoint.
-            embedding.name = f'{embedding_name}-{steps_done}'
-            last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
-            embedding.save(last_saved_file)
-            embedding_yet_to_be_embedded = True
+            pbar.set_description(f"[Epoch {epoch_num}: {epoch_step+1}/{len(ds)}]loss: {losses.mean():.7f}")
 
-        write_loss(log_directory, "textual_inversion_loss.csv", embedding.step, len(ds), {
-            "loss": f"{losses.mean():.7f}",
-            "learn_rate": scheduler.learn_rate
-        })
+            if embedding_dir is not None and steps_done % save_embedding_every == 0:
+                # Before saving, change name to match current checkpoint.
+                embedding.name = f'{embedding_name}-{steps_done}'
+                last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
+                embedding.save(last_saved_file)
+                embedding_yet_to_be_embedded = True
 
-        if images_dir is not None and steps_done % create_image_every == 0:
-            forced_filename = f'{embedding_name}-{steps_done}'
-            last_saved_image = os.path.join(images_dir, forced_filename)
-            p = processing.StableDiffusionProcessingTxt2Img(
-                sd_model=shared.sd_model,
-                do_not_save_grid=True,
-                do_not_save_samples=True,
-                do_not_reload_embeddings=True,
-            )
+            write_loss(log_directory, "textual_inversion_loss.csv", embedding.step, len(ds), {
+                "loss": f"{losses.mean():.7f}",
+                "learn_rate": scheduler.learn_rate
+            })
 
-            if preview_from_txt2img:
-                p.prompt = preview_prompt
-                p.negative_prompt = preview_negative_prompt
-                p.steps = preview_steps
-                p.sampler_index = preview_sampler_index
-                p.cfg_scale = preview_cfg_scale
-                p.seed = preview_seed
-                p.width = preview_width
-                p.height = preview_height
-            else:
-                p.prompt = entries[0].cond_text
-                p.steps = 20
-                p.width = training_width
-                p.height = training_height
+            if images_dir is not None and steps_done % create_image_every == 0:
+                forced_filename = f'{embedding_name}-{steps_done}'
+                last_saved_image = os.path.join(images_dir, forced_filename)
+                p = processing.StableDiffusionProcessingTxt2Img(
+                    sd_model=shared.sd_model,
+                    do_not_save_grid=True,
+                    do_not_save_samples=True,
+                    do_not_reload_embeddings=True,
+                )
 
-            preview_text = p.prompt
+                if preview_from_txt2img:
+                    p.prompt = preview_prompt
+                    p.negative_prompt = preview_negative_prompt
+                    p.steps = preview_steps
+                    p.sampler_index = preview_sampler_index
+                    p.cfg_scale = preview_cfg_scale
+                    p.seed = preview_seed
+                    p.width = preview_width
+                    p.height = preview_height
+                else:
+                    p.prompt = entries[0].cond_text
+                    p.steps = 20
+                    p.width = training_width
+                    p.height = training_height
 
-            processed = processing.process_images(p)
-            image = processed.images[0]
+                preview_text = p.prompt
 
-            shared.state.current_image = image
+                processed = processing.process_images(p)
+                image = processed.images[0]
 
-            if save_image_with_stored_embedding and os.path.exists(last_saved_file) and embedding_yet_to_be_embedded:
+                shared.state.current_image = image
 
-                last_saved_image_chunks = os.path.join(images_embeds_dir, f'{embedding_name}-{steps_done}.png')
+                if save_image_with_stored_embedding and os.path.exists(last_saved_file) and embedding_yet_to_be_embedded:
 
-                info = PngImagePlugin.PngInfo()
-                data = torch.load(last_saved_file)
-                info.add_text("sd-ti-embedding", embedding_to_b64(data))
+                    last_saved_image_chunks = os.path.join(images_embeds_dir, f'{embedding_name}-{steps_done}.png')
 
-                title = "<{}>".format(data.get('name', '???'))
+                    info = PngImagePlugin.PngInfo()
+                    data = torch.load(last_saved_file)
+                    info.add_text("sd-ti-embedding", embedding_to_b64(data))
 
-                try:
-                    vectorSize = list(data['string_to_param'].values())[0].shape[0]
-                except Exception as e:
-                    vectorSize = '?'
+                    title = "<{}>".format(data.get('name', '???'))
 
-                checkpoint = sd_models.select_checkpoint()
-                footer_left = checkpoint.model_name
-                footer_mid = '[{}]'.format(checkpoint.hash)
-                footer_right = '{}v {}s'.format(vectorSize, steps_done)
+                    try:
+                        vectorSize = list(data['string_to_param'].values())[0].shape[0]
+                    except Exception as e:
+                        vectorSize = '?'
 
-                captioned_image = caption_image_overlay(image, title, footer_left, footer_mid, footer_right)
-                captioned_image = insert_image_data_embed(captioned_image, data)
+                    checkpoint = sd_models.select_checkpoint()
+                    footer_left = checkpoint.model_name
+                    footer_mid = '[{}]'.format(checkpoint.hash)
+                    footer_right = '{}v {}s'.format(vectorSize, steps_done)
 
-                captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
-                embedding_yet_to_be_embedded = False
+                    captioned_image = caption_image_overlay(image, title, footer_left, footer_mid, footer_right)
+                    captioned_image = insert_image_data_embed(captioned_image, data)
 
-            last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
-            last_saved_image += f", prompt: {preview_text}"
+                    captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
+                    embedding_yet_to_be_embedded = False
 
-        shared.state.job_no = embedding.step
+                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
+                last_saved_image += f", prompt: {preview_text}"
 
-        shared.state.textinfo = f"""
+            shared.state.job_no = embedding.step
+
+            shared.state.textinfo = f"""
 <p>
 Loss: {losses.mean():.7f}<br/>
 Step: {embedding.step}<br/>
@@ -396,6 +398,9 @@ Last saved embedding: {html.escape(last_saved_file)}<br/>
 Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
+    finally:
+        if embedding and embedding.vec is not None:
+            embedding.vec.requires_grad = False
 
     checkpoint = sd_models.select_checkpoint()
 

From a27d19de2eff633b6a39f9f4a5c0f2d6abb81bb5 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sat, 29 Oct 2022 19:44:05 +0700
Subject: [PATCH 285/321] Additional assert on dataset

---
 modules/textual_inversion/dataset.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/modules/textual_inversion/dataset.py b/modules/textual_inversion/dataset.py
index 8bb00d27..ad726577 100644
--- a/modules/textual_inversion/dataset.py
+++ b/modules/textual_inversion/dataset.py
@@ -42,6 +42,8 @@ class PersonalizedBase(Dataset):
         self.lines = lines
 
         assert data_root, 'dataset directory not specified'
+        assert os.path.isdir(data_root), "Dataset directory doesn't exist"
+        assert os.listdir(data_root), "Dataset directory is empty"
 
         cond_model = shared.sd_model.cond_stage_model
 

From cbdb5ced767d2f82296ecf22feb262870acba6f3 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Sat, 29 Oct 2022 22:33:51 +0900
Subject: [PATCH 286/321] Add new translations

New settings option
New extras tab option
---
 localizations/ko_KR.json | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 3d631066..8f5f155b 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -202,6 +202,7 @@
   "Inpaint at full resolution padding, pixels": "전체 해상도로 인페인트시 패딩값(픽셀 단위)",
   "Inpaint masked": "마스크만 처리",
   "Inpaint not masked": "마스크 이외만 처리",
+  "Inpainting conditioning mask strength": "인페인팅 조절 마스크 강도",
   "Input directory": "인풋 이미지 경로",
   "Input images directory": "이미지 경로 입력",
   "Interpolation Method": "보간 방법",
@@ -276,6 +277,7 @@
   "Number of repeats for a single input image per epoch; used only for displaying epoch number": "세대(Epoch)당 단일 인풋 이미지의 반복 횟수 - 세대(Epoch) 숫자를 표시하는 데에만 사용됩니다. ",
   "Number of rows on the page": "각 페이지마다 표시할 세로줄 수",
   "Number of vectors per token": "토큰별 벡터 수",
+  "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "인페인팅 모델에만 적용됩니다. 인페인팅과 이미지→이미지에서 원본 이미지를 얼마나 마스킹 처리할지 결정하는 값입니다. 1.0은 완전히 마스킹함(기본 설정)을 의미하고, 0.0은 완전히 언마스킹된 이미지를 의미합니다. 낮은 값일수록 이미지의 전체적인 구성을 유지하는 데에 도움되겠지만, 변화량이 많을수록 불안정해집니다.",
   "Open for Clip Aesthetic!": "클립 스타일 기능을 활성화하려면 클릭!",
   "Open images output directory": "이미지 저장 경로 열기",
   "Open output directory": "저장 경로 열기",
@@ -390,6 +392,7 @@
   "Select activation function of hypernetwork": "하이퍼네트워크 활성화 함수 선택",
   "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "레이어 가중치 초기화 방식 선택 - relu류 : Kaiming 추천, sigmoid류 : Xavier 추천",
   "Select which Real-ESRGAN models to show in the web UI. (Requires restart)": "WebUI에 표시할 Real-ESRGAN 모델을 선택하십시오. (재시작 필요)",
+  "Send seed when sending prompt or image to other interface": "다른 화면으로 프롬프트나 이미지를 보낼 때 시드도 함께 보내기",
   "Send to extras": "부가기능으로 전송",
   "Send to img2img": "이미지→이미지로 전송",
   "Send to inpaint": "인페인트로 전송",
@@ -467,6 +470,7 @@
   "up": "위쪽",
   "Upload mask": "마스크 업로드하기",
   "Upload prompt inputs": "입력할 프롬프트를 업로드하십시오",
+  "Upscale Before Restoring Faces": "얼굴 보정을 진행하기 전에 업스케일링 먼저 진행하기",
   "Upscale latent space image when doing hires. fix": "고해상도 보정 사용시 잠재 공간 이미지 업스케일하기",
   "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "마스크된 부분을 설정된 해상도로 업스케일하고, 인페인팅을 진행한 뒤, 다시 다운스케일 후 원본 이미지에 붙여넣습니다.",
   "Upscaler": "업스케일러",

From af45b5a11a8a393ed404be3ce0ecac14338155c7 Mon Sep 17 00:00:00 2001
From: Vladimir Repin <32306715+mezotaken@users.noreply.github.com>
Date: Sat, 29 Oct 2022 18:26:28 +0300
Subject: [PATCH 287/321] Testing with API added

---
 run_tests.bat        | 15 +++++++++
 test/__init__.py     |  0
 test/server_poll.py  | 17 ++++++++++
 test/txt2img_test.py | 80 ++++++++++++++++++++++++++++++++++++++++++++
 4 files changed, 112 insertions(+)
 create mode 100644 run_tests.bat
 create mode 100644 test/__init__.py
 create mode 100644 test/server_poll.py
 create mode 100644 test/txt2img_test.py

diff --git a/run_tests.bat b/run_tests.bat
new file mode 100644
index 00000000..3a63f034
--- /dev/null
+++ b/run_tests.bat
@@ -0,0 +1,15 @@
+@echo off
+set ERROR_REPORTING=FALSE
+set COMMANDLINE_ARGS= --api
+echo Launching SDWebUI...
+start "SDWebUITest" webui.bat
+
+if not defined PYTHON (set PYTHON=python)
+if not defined VENV_DIR (set VENV_DIR=venv)
+set PYTHON="%~dp0%VENV_DIR%\Scripts\Python.exe"
+%PYTHON% test/server_poll.py
+for /f "tokens=2 delims=," %%a in ('tasklist /v /fo csv ^| findstr /i "SDWebUITest"') do set "$PID=%%a"
+
+taskkill /PID %$PID% >nul 2>&1
+
+pause
diff --git a/test/__init__.py b/test/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/test/server_poll.py b/test/server_poll.py
new file mode 100644
index 00000000..8c0436f8
--- /dev/null
+++ b/test/server_poll.py
@@ -0,0 +1,17 @@
+import unittest
+import requests
+import time
+
+timeout_threshold = 240
+start_time = time.time()
+while time.time()-start_time < timeout_threshold:
+    try:
+        requests.head("http://localhost:7860/")
+        break
+    except requests.exceptions.ConnectionError:
+        pass
+if time.time()-start_time < timeout_threshold:
+    suite = unittest.TestLoader().discover('', pattern='*_test.py')
+    result = unittest.TextTestRunner(verbosity=2).run(suite)
+else:
+    print("Launch unsuccessful")
diff --git a/test/txt2img_test.py b/test/txt2img_test.py
new file mode 100644
index 00000000..9484fd99
--- /dev/null
+++ b/test/txt2img_test.py
@@ -0,0 +1,80 @@
+import unittest
+import requests
+import time
+
+url_txt2img = "http://localhost:7860/sdapi/v1/txt2img"
+simple_txt2img = {
+    "enable_hr": False,
+    "denoising_strength": 0,
+    "firstphase_width": 0,
+    "firstphase_height": 0,
+    "prompt": "example prompt",
+    "styles": [
+      ""
+    ],
+    "seed": -1,
+    "subseed": -1,
+    "subseed_strength": 0,
+    "seed_resize_from_h": -1,
+    "seed_resize_from_w": -1,
+    "batch_size": 1,
+    "n_iter": 1,
+    "steps": 5,
+    "cfg_scale": 7,
+    "width": 64,
+    "height": 64,
+    "restore_faces": False,
+    "tiling": False,
+    "negative_prompt": "",
+    "eta": 0,
+    "s_churn": 0,
+    "s_tmax": 0,
+    "s_tmin": 0,
+    "s_noise": 1,
+    "sampler_index": "Euler a"
+}
+
+class TestTxt2ImgWorking(unittest.TestCase):
+    def test_txt2img_simple_performed(self):
+        self.assertEqual(requests.post(url_txt2img, json=simple_txt2img).status_code, 200)
+
+    def test_txt2img_with_negative_prompt_performed(self):
+        params = simple_txt2img.copy()
+        params["negative_prompt"] = "example negative prompt"
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+    def test_txt2img_not_square_image_performed(self):
+        params = simple_txt2img.copy()
+        params["height"] = 128
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+    def test_txt2img_with_hrfix_performed(self):
+        params = simple_txt2img.copy()
+        params["enable_hr"] = True
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+    def test_txt2img_with_restore_faces_performed(self):
+        params = simple_txt2img.copy()
+        params["restore_faces"] = True
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+    def test_txt2img_with_tiling_faces_performed(self):
+        params = simple_txt2img.copy()
+        params["tiling"] = True
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+    def test_txt2img_with_vanilla_sampler_performed(self):
+        params = simple_txt2img.copy()
+        params["sampler_index"] = "PLMS"
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+    def test_txt2img_multiple_batches_performed(self):
+        params = simple_txt2img.copy()
+        params["n_iter"] = 2
+        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+
+class TestTxt2ImgCorrectness(unittest.TestCase):
+    pass
+
+if __name__ == "__main__":
+    unittest.main()

From 6515dedf57db6a46c7a85b0b7a1eee0daad90123 Mon Sep 17 00:00:00 2001
From: Mackerel <mackerel@chickatrice.com>
Date: Mon, 24 Oct 2022 10:13:25 -0400
Subject: [PATCH 288/321] webui.sh: no automatic git pull

---
 webui.sh | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/webui.sh b/webui.sh
index a9f85d89..cc06f344 100755
--- a/webui.sh
+++ b/webui.sh
@@ -102,15 +102,14 @@ then
     exit 1
 fi
 
-printf "\n%s\n" "${delimiter}"
-printf "Clone or update stable-diffusion-webui"
-printf "\n%s\n" "${delimiter}"
 cd "${install_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/, aborting...\e[0m" "${install_dir}"; exit 1; }
 if [[ -d "${clone_dir}" ]]
 then
     cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
-    "${GIT}" pull
 else
+    printf "\n%s\n" "${delimiter}"
+    printf "Clone stable-diffusion-webui"
+    printf "\n%s\n" "${delimiter}"
     "${GIT}" clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git "${clone_dir}"
     cd "${clone_dir}"/ || { printf "\e[1m\e[31mERROR: Can't cd to %s/%s/, aborting...\e[0m" "${install_dir}" "${clone_dir}"; exit 1; }
 fi

From ab05a74ead9fabb45dd099990e34061c7eb02ca3 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sun, 30 Oct 2022 00:32:02 +0700
Subject: [PATCH 289/321] Revert "Add cleanup after training"

This reverts commit 3ce2bfdf95bd5f26d0f6e250e67338ada91980d1.
---
 modules/hypernetworks/hypernetwork.py         | 191 +++++++++---------
 .../textual_inversion/textual_inversion.py    | 163 ++++++++-------
 2 files changed, 170 insertions(+), 184 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 170d5ea4..38f35c58 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -398,112 +398,110 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     forced_filename = "<none>"
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps - ititial_step)
-
-    try:
-        for i, entries in pbar:
-            hypernetwork.step = i + ititial_step
-            if len(loss_dict) > 0:
-                previous_mean_losses = [i[-1] for i in loss_dict.values()]
-                previous_mean_loss = mean(previous_mean_losses)
-                
-            scheduler.apply(optimizer, hypernetwork.step)
-            if scheduler.finished:
-                break
-
-            if shared.state.interrupted:
-                break
-
-            with torch.autocast("cuda"):
-                c = stack_conds([entry.cond for entry in entries]).to(devices.device)
-                # c = torch.vstack([entry.cond for entry in entries]).to(devices.device)
-                x = torch.stack([entry.latent for entry in entries]).to(devices.device)
-                loss = shared.sd_model(x, c)[0]
-                del x
-                del c
-
-                losses[hypernetwork.step % losses.shape[0]] = loss.item()
-                for entry in entries:
-                    loss_dict[entry.filename].append(loss.item())
-                    
-                optimizer.zero_grad()
-                weights[0].grad = None
-                loss.backward()
-
-                if weights[0].grad is None:
-                    steps_without_grad += 1
-                else:
-                    steps_without_grad = 0
-                assert steps_without_grad < 10, 'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
-
-                optimizer.step()
-
-            steps_done = hypernetwork.step + 1
-
-            if torch.isnan(losses[hypernetwork.step % losses.shape[0]]): 
-                raise RuntimeError("Loss diverged.")
+    for i, entries in pbar:
+        hypernetwork.step = i + ititial_step
+        if len(loss_dict) > 0:
+            previous_mean_losses = [i[-1] for i in loss_dict.values()]
+            previous_mean_loss = mean(previous_mean_losses)
             
-            if len(previous_mean_losses) > 1:
-                std = stdev(previous_mean_losses)
+        scheduler.apply(optimizer, hypernetwork.step)
+        if scheduler.finished:
+            break
+
+        if shared.state.interrupted:
+            break
+
+        with torch.autocast("cuda"):
+            c = stack_conds([entry.cond for entry in entries]).to(devices.device)
+            # c = torch.vstack([entry.cond for entry in entries]).to(devices.device)
+            x = torch.stack([entry.latent for entry in entries]).to(devices.device)
+            loss = shared.sd_model(x, c)[0]
+            del x
+            del c
+
+            losses[hypernetwork.step % losses.shape[0]] = loss.item()
+            for entry in entries:
+                loss_dict[entry.filename].append(loss.item())
+                
+            optimizer.zero_grad()
+            weights[0].grad = None
+            loss.backward()
+
+            if weights[0].grad is None:
+                steps_without_grad += 1
             else:
-                std = 0
-            dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
-            pbar.set_description(dataset_loss_info)
+                steps_without_grad = 0
+            assert steps_without_grad < 10, 'no gradient found for the trained weight after backward() for 10 steps in a row; this is a bug; training cannot continue'
 
-            if hypernetwork_dir is not None and steps_done % save_hypernetwork_every == 0:
-                # Before saving, change name to match current checkpoint.
-                hypernetwork.name = f'{hypernetwork_name}-{steps_done}'
-                last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
-                hypernetwork.save(last_saved_file)
+            optimizer.step()
 
-            textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
-                "loss": f"{previous_mean_loss:.7f}",
-                "learn_rate": scheduler.learn_rate
-            })
+        steps_done = hypernetwork.step + 1
 
-            if images_dir is not None and steps_done % create_image_every == 0:
-                forced_filename = f'{hypernetwork_name}-{steps_done}'
-                last_saved_image = os.path.join(images_dir, forced_filename)
+        if torch.isnan(losses[hypernetwork.step % losses.shape[0]]): 
+            raise RuntimeError("Loss diverged.")
+        
+        if len(previous_mean_losses) > 1:
+            std = stdev(previous_mean_losses)
+        else:
+            std = 0
+        dataset_loss_info = f"dataset loss:{mean(previous_mean_losses):.3f}" + u"\u00B1" + f"({std / (len(previous_mean_losses) ** 0.5):.3f})"
+        pbar.set_description(dataset_loss_info)
 
-                optimizer.zero_grad()
-                shared.sd_model.cond_stage_model.to(devices.device)
-                shared.sd_model.first_stage_model.to(devices.device)
+        if hypernetwork_dir is not None and steps_done % save_hypernetwork_every == 0:
+            # Before saving, change name to match current checkpoint.
+            hypernetwork.name = f'{hypernetwork_name}-{steps_done}'
+            last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
+            hypernetwork.save(last_saved_file)
 
-                p = processing.StableDiffusionProcessingTxt2Img(
-                    sd_model=shared.sd_model,
-                    do_not_save_grid=True,
-                    do_not_save_samples=True,
-                )
+        textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
+            "loss": f"{previous_mean_loss:.7f}",
+            "learn_rate": scheduler.learn_rate
+        })
 
-                if preview_from_txt2img:
-                    p.prompt = preview_prompt
-                    p.negative_prompt = preview_negative_prompt
-                    p.steps = preview_steps
-                    p.sampler_index = preview_sampler_index
-                    p.cfg_scale = preview_cfg_scale
-                    p.seed = preview_seed
-                    p.width = preview_width
-                    p.height = preview_height
-                else:
-                    p.prompt = entries[0].cond_text
-                    p.steps = 20
+        if images_dir is not None and steps_done % create_image_every == 0:
+            forced_filename = f'{hypernetwork_name}-{steps_done}'
+            last_saved_image = os.path.join(images_dir, forced_filename)
 
-                preview_text = p.prompt
+            optimizer.zero_grad()
+            shared.sd_model.cond_stage_model.to(devices.device)
+            shared.sd_model.first_stage_model.to(devices.device)
 
-                processed = processing.process_images(p)
-                image = processed.images[0] if len(processed.images)>0 else None
+            p = processing.StableDiffusionProcessingTxt2Img(
+                sd_model=shared.sd_model,
+                do_not_save_grid=True,
+                do_not_save_samples=True,
+            )
 
-                if unload:
-                    shared.sd_model.cond_stage_model.to(devices.cpu)
-                    shared.sd_model.first_stage_model.to(devices.cpu)
+            if preview_from_txt2img:
+                p.prompt = preview_prompt
+                p.negative_prompt = preview_negative_prompt
+                p.steps = preview_steps
+                p.sampler_index = preview_sampler_index
+                p.cfg_scale = preview_cfg_scale
+                p.seed = preview_seed
+                p.width = preview_width
+                p.height = preview_height
+            else:
+                p.prompt = entries[0].cond_text
+                p.steps = 20
 
-                if image is not None:
-                    shared.state.current_image = image
-                    last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
-                    last_saved_image += f", prompt: {preview_text}"
+            preview_text = p.prompt
 
-            shared.state.job_no = hypernetwork.step
+            processed = processing.process_images(p)
+            image = processed.images[0] if len(processed.images)>0 else None
 
-            shared.state.textinfo = f"""
+            if unload:
+                shared.sd_model.cond_stage_model.to(devices.cpu)
+                shared.sd_model.first_stage_model.to(devices.cpu)
+
+            if image is not None:
+                shared.state.current_image = image
+                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
+                last_saved_image += f", prompt: {preview_text}"
+
+        shared.state.job_no = hypernetwork.step
+
+        shared.state.textinfo = f"""
 <p>
 Loss: {previous_mean_loss:.7f}<br/>
 Step: {hypernetwork.step}<br/>
@@ -512,14 +510,7 @@ Last saved hypernetwork: {html.escape(last_saved_file)}<br/>
 Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
-    finally:
-        if weights:
-            for weight in weights:
-                weight.requires_grad = False
-        if unload:
-            shared.sd_model.cond_stage_model.to(devices.device)
-            shared.sd_model.first_stage_model.to(devices.device)
-
+        
     report_statistics(loss_dict)
     checkpoint = sd_models.select_checkpoint()
 
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index fd7f0897..44f06443 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -283,113 +283,111 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
     embedding_yet_to_be_embedded = False
 
     pbar = tqdm.tqdm(enumerate(ds), total=steps-ititial_step)
+    for i, entries in pbar:
+        embedding.step = i + ititial_step
 
-    try:
-        for i, entries in pbar:
-            embedding.step = i + ititial_step
+        scheduler.apply(optimizer, embedding.step)
+        if scheduler.finished:
+            break
 
-            scheduler.apply(optimizer, embedding.step)
-            if scheduler.finished:
-                break
+        if shared.state.interrupted:
+            break
 
-            if shared.state.interrupted:
-                break
+        with torch.autocast("cuda"):
+            c = cond_model([entry.cond_text for entry in entries])
+            x = torch.stack([entry.latent for entry in entries]).to(devices.device)
+            loss = shared.sd_model(x, c)[0]
+            del x
 
-            with torch.autocast("cuda"):
-                c = cond_model([entry.cond_text for entry in entries])
-                x = torch.stack([entry.latent for entry in entries]).to(devices.device)
-                loss = shared.sd_model(x, c)[0]
-                del x
+            losses[embedding.step % losses.shape[0]] = loss.item()
 
-                losses[embedding.step % losses.shape[0]] = loss.item()
+            optimizer.zero_grad()
+            loss.backward()
+            optimizer.step()
 
-                optimizer.zero_grad()
-                loss.backward()
-                optimizer.step()
+        steps_done = embedding.step + 1
 
-            steps_done = embedding.step + 1
+        epoch_num = embedding.step // len(ds)
+        epoch_step = embedding.step % len(ds)
 
-            epoch_num = embedding.step // len(ds)
-            epoch_step = embedding.step % len(ds)
+        pbar.set_description(f"[Epoch {epoch_num}: {epoch_step+1}/{len(ds)}]loss: {losses.mean():.7f}")
 
-            pbar.set_description(f"[Epoch {epoch_num}: {epoch_step+1}/{len(ds)}]loss: {losses.mean():.7f}")
+        if embedding_dir is not None and steps_done % save_embedding_every == 0:
+            # Before saving, change name to match current checkpoint.
+            embedding.name = f'{embedding_name}-{steps_done}'
+            last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
+            embedding.save(last_saved_file)
+            embedding_yet_to_be_embedded = True
 
-            if embedding_dir is not None and steps_done % save_embedding_every == 0:
-                # Before saving, change name to match current checkpoint.
-                embedding.name = f'{embedding_name}-{steps_done}'
-                last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
-                embedding.save(last_saved_file)
-                embedding_yet_to_be_embedded = True
+        write_loss(log_directory, "textual_inversion_loss.csv", embedding.step, len(ds), {
+            "loss": f"{losses.mean():.7f}",
+            "learn_rate": scheduler.learn_rate
+        })
 
-            write_loss(log_directory, "textual_inversion_loss.csv", embedding.step, len(ds), {
-                "loss": f"{losses.mean():.7f}",
-                "learn_rate": scheduler.learn_rate
-            })
+        if images_dir is not None and steps_done % create_image_every == 0:
+            forced_filename = f'{embedding_name}-{steps_done}'
+            last_saved_image = os.path.join(images_dir, forced_filename)
+            p = processing.StableDiffusionProcessingTxt2Img(
+                sd_model=shared.sd_model,
+                do_not_save_grid=True,
+                do_not_save_samples=True,
+                do_not_reload_embeddings=True,
+            )
 
-            if images_dir is not None and steps_done % create_image_every == 0:
-                forced_filename = f'{embedding_name}-{steps_done}'
-                last_saved_image = os.path.join(images_dir, forced_filename)
-                p = processing.StableDiffusionProcessingTxt2Img(
-                    sd_model=shared.sd_model,
-                    do_not_save_grid=True,
-                    do_not_save_samples=True,
-                    do_not_reload_embeddings=True,
-                )
+            if preview_from_txt2img:
+                p.prompt = preview_prompt
+                p.negative_prompt = preview_negative_prompt
+                p.steps = preview_steps
+                p.sampler_index = preview_sampler_index
+                p.cfg_scale = preview_cfg_scale
+                p.seed = preview_seed
+                p.width = preview_width
+                p.height = preview_height
+            else:
+                p.prompt = entries[0].cond_text
+                p.steps = 20
+                p.width = training_width
+                p.height = training_height
 
-                if preview_from_txt2img:
-                    p.prompt = preview_prompt
-                    p.negative_prompt = preview_negative_prompt
-                    p.steps = preview_steps
-                    p.sampler_index = preview_sampler_index
-                    p.cfg_scale = preview_cfg_scale
-                    p.seed = preview_seed
-                    p.width = preview_width
-                    p.height = preview_height
-                else:
-                    p.prompt = entries[0].cond_text
-                    p.steps = 20
-                    p.width = training_width
-                    p.height = training_height
+            preview_text = p.prompt
 
-                preview_text = p.prompt
+            processed = processing.process_images(p)
+            image = processed.images[0]
 
-                processed = processing.process_images(p)
-                image = processed.images[0]
+            shared.state.current_image = image
 
-                shared.state.current_image = image
+            if save_image_with_stored_embedding and os.path.exists(last_saved_file) and embedding_yet_to_be_embedded:
 
-                if save_image_with_stored_embedding and os.path.exists(last_saved_file) and embedding_yet_to_be_embedded:
+                last_saved_image_chunks = os.path.join(images_embeds_dir, f'{embedding_name}-{steps_done}.png')
 
-                    last_saved_image_chunks = os.path.join(images_embeds_dir, f'{embedding_name}-{steps_done}.png')
+                info = PngImagePlugin.PngInfo()
+                data = torch.load(last_saved_file)
+                info.add_text("sd-ti-embedding", embedding_to_b64(data))
 
-                    info = PngImagePlugin.PngInfo()
-                    data = torch.load(last_saved_file)
-                    info.add_text("sd-ti-embedding", embedding_to_b64(data))
+                title = "<{}>".format(data.get('name', '???'))
 
-                    title = "<{}>".format(data.get('name', '???'))
+                try:
+                    vectorSize = list(data['string_to_param'].values())[0].shape[0]
+                except Exception as e:
+                    vectorSize = '?'
 
-                    try:
-                        vectorSize = list(data['string_to_param'].values())[0].shape[0]
-                    except Exception as e:
-                        vectorSize = '?'
+                checkpoint = sd_models.select_checkpoint()
+                footer_left = checkpoint.model_name
+                footer_mid = '[{}]'.format(checkpoint.hash)
+                footer_right = '{}v {}s'.format(vectorSize, steps_done)
 
-                    checkpoint = sd_models.select_checkpoint()
-                    footer_left = checkpoint.model_name
-                    footer_mid = '[{}]'.format(checkpoint.hash)
-                    footer_right = '{}v {}s'.format(vectorSize, steps_done)
+                captioned_image = caption_image_overlay(image, title, footer_left, footer_mid, footer_right)
+                captioned_image = insert_image_data_embed(captioned_image, data)
 
-                    captioned_image = caption_image_overlay(image, title, footer_left, footer_mid, footer_right)
-                    captioned_image = insert_image_data_embed(captioned_image, data)
+                captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
+                embedding_yet_to_be_embedded = False
 
-                    captioned_image.save(last_saved_image_chunks, "PNG", pnginfo=info)
-                    embedding_yet_to_be_embedded = False
+            last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
+            last_saved_image += f", prompt: {preview_text}"
 
-                last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False)
-                last_saved_image += f", prompt: {preview_text}"
+        shared.state.job_no = embedding.step
 
-            shared.state.job_no = embedding.step
-
-            shared.state.textinfo = f"""
+        shared.state.textinfo = f"""
 <p>
 Loss: {losses.mean():.7f}<br/>
 Step: {embedding.step}<br/>
@@ -398,9 +396,6 @@ Last saved embedding: {html.escape(last_saved_file)}<br/>
 Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
-    finally:
-        if embedding and embedding.vec is not None:
-            embedding.vec.requires_grad = False
 
     checkpoint = sd_models.select_checkpoint()
 

From a07f054c86f33360ff620d6a3fffdee366ab2d99 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sun, 30 Oct 2022 00:49:29 +0700
Subject: [PATCH 290/321] Add missing info on hypernetwork/embedding model log

Mentioned here: https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/1528#discussioncomment-3991513

Also group the saving into one
---
 modules/hypernetworks/hypernetwork.py         | 31 ++++++++++-----
 .../textual_inversion/textual_inversion.py    | 39 ++++++++++++-------
 2 files changed, 47 insertions(+), 23 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 38f35c58..86daf825 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -361,6 +361,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         images_dir = None
 
     hypernetwork = shared.loaded_hypernetwork
+    checkpoint = sd_models.select_checkpoint()
 
     ititial_step = hypernetwork.step or 0
     if ititial_step > steps:
@@ -449,9 +450,9 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
         if hypernetwork_dir is not None and steps_done % save_hypernetwork_every == 0:
             # Before saving, change name to match current checkpoint.
-            hypernetwork.name = f'{hypernetwork_name}-{steps_done}'
-            last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
-            hypernetwork.save(last_saved_file)
+            hypernetwork_name_every = f'{hypernetwork_name}-{steps_done}'
+            last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork_name_every}.pt')
+            save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, last_saved_file)
 
         textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
             "loss": f"{previous_mean_loss:.7f}",
@@ -512,13 +513,23 @@ Last saved image: {html.escape(last_saved_image)}<br/>
 """
         
     report_statistics(loss_dict)
-    checkpoint = sd_models.select_checkpoint()
 
-    hypernetwork.sd_checkpoint = checkpoint.hash
-    hypernetwork.sd_checkpoint_name = checkpoint.model_name
-    # Before saving for the last time, change name back to the base name (as opposed to the save_hypernetwork_every step-suffixed naming convention).
-    hypernetwork.name = hypernetwork_name
-    filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork.name}.pt')
-    hypernetwork.save(filename)
+    filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork_name}.pt')
+    save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, filename)
 
     return hypernetwork, filename
+
+def save_hypernetwork(hypernetwork, checkpoint, hypernetwork_name, filename):
+    old_hypernetwork_name = hypernetwork.name
+    old_sd_checkpoint = hypernetwork.sd_checkpoint if hasattr(hypernetwork, "sd_checkpoint") else None
+    old_sd_checkpoint_name = hypernetwork.sd_checkpoint_name if hasattr(hypernetwork, "sd_checkpoint_name") else None
+    try:
+        hypernetwork.sd_checkpoint = checkpoint.hash
+        hypernetwork.sd_checkpoint_name = checkpoint.model_name
+        hypernetwork.name = hypernetwork_name
+        hypernetwork.save(filename)
+    except:
+        hypernetwork.sd_checkpoint = old_sd_checkpoint
+        hypernetwork.sd_checkpoint_name = old_sd_checkpoint_name
+        hypernetwork.name = old_hypernetwork_name
+        raise
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 44f06443..ee9917ce 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -119,7 +119,7 @@ class EmbeddingDatabase:
             vec = emb.detach().to(devices.device, dtype=torch.float32)
             embedding = Embedding(vec, name)
             embedding.step = data.get('step', None)
-            embedding.sd_checkpoint = data.get('hash', None)
+            embedding.sd_checkpoint = data.get('sd_checkpoint', None)
             embedding.sd_checkpoint_name = data.get('sd_checkpoint_name', None)
             self.register_embedding(embedding, shared.sd_model)
 
@@ -259,6 +259,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
     hijack = sd_hijack.model_hijack
 
     embedding = hijack.embedding_db.word_embeddings[embedding_name]
+    checkpoint = sd_models.select_checkpoint()
 
     ititial_step = embedding.step or 0
     if ititial_step > steps:
@@ -314,9 +315,9 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
 
         if embedding_dir is not None and steps_done % save_embedding_every == 0:
             # Before saving, change name to match current checkpoint.
-            embedding.name = f'{embedding_name}-{steps_done}'
-            last_saved_file = os.path.join(embedding_dir, f'{embedding.name}.pt')
-            embedding.save(last_saved_file)
+            embedding_name_every = f'{embedding_name}-{steps_done}'
+            last_saved_file = os.path.join(embedding_dir, f'{embedding_name_every}.pt')
+            save_embedding(embedding, checkpoint, embedding_name_every, last_saved_file, remove_cached_checksum=True)
             embedding_yet_to_be_embedded = True
 
         write_loss(log_directory, "textual_inversion_loss.csv", embedding.step, len(ds), {
@@ -397,14 +398,26 @@ Last saved image: {html.escape(last_saved_image)}<br/>
 </p>
 """
 
-    checkpoint = sd_models.select_checkpoint()
-
-    embedding.sd_checkpoint = checkpoint.hash
-    embedding.sd_checkpoint_name = checkpoint.model_name
-    embedding.cached_checksum = None
-    # Before saving for the last time, change name back to base name (as opposed to the save_embedding_every step-suffixed naming convention).
-    embedding.name = embedding_name
-    filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding.name}.pt')
-    embedding.save(filename)
+    filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding_name}.pt')
+    save_embedding(embedding, checkpoint, embedding_name, filename, remove_cached_checksum=True)
 
     return embedding, filename
+
+def save_embedding(embedding, checkpoint, embedding_name, filename, remove_cached_checksum=True):
+    old_embedding_name = embedding.name
+    old_sd_checkpoint = embedding.sd_checkpoint if hasattr(embedding, "sd_checkpoint") else None
+    old_sd_checkpoint_name = embedding.sd_checkpoint_name if hasattr(embedding, "sd_checkpoint_name") else None
+    old_cached_checksum = embedding.cached_checksum if hasattr(embedding, "cached_checksum") else None
+    try:
+        embedding.sd_checkpoint = checkpoint.hash
+        embedding.sd_checkpoint_name = checkpoint.model_name
+        if remove_cached_checksum:
+            embedding.cached_checksum = None
+        embedding.name = embedding_name
+        embedding.save(filename)
+    except:
+        embedding.sd_checkpoint = old_sd_checkpoint
+        embedding.sd_checkpoint_name = old_sd_checkpoint_name
+        embedding.name = old_embedding_name
+        embedding.cached_checksum = old_cached_checksum
+        raise

From 3d58510f214c645ce5cdb261aa47df6573b239e9 Mon Sep 17 00:00:00 2001
From: Muhammad Rizqi Nur <rizqinur2010@gmail.com>
Date: Sun, 30 Oct 2022 00:54:59 +0700
Subject: [PATCH 291/321] Fix dataset still being loaded even when training
 will be skipped

---
 modules/hypernetworks/hypernetwork.py          | 2 +-
 modules/textual_inversion/textual_inversion.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 86daf825..07acadc9 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -364,7 +364,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
     checkpoint = sd_models.select_checkpoint()
 
     ititial_step = hypernetwork.step or 0
-    if ititial_step > steps:
+    if ititial_step >= steps:
         shared.state.textinfo = f"Model has already been trained beyond specified max steps"
         return hypernetwork, filename
 
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index ee9917ce..e0babb46 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -262,7 +262,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
     checkpoint = sd_models.select_checkpoint()
 
     ititial_step = embedding.step or 0
-    if ititial_step > steps:
+    if ititial_step >= steps:
         shared.state.textinfo = f"Model has already been trained beyond specified max steps"
         return embedding, filename
 

From 2f3d8172c3fe80ea64ebe5c797835ca15c2e595f Mon Sep 17 00:00:00 2001
From: Vladimir Repin <32306715+mezotaken@users.noreply.github.com>
Date: Sat, 29 Oct 2022 21:43:32 +0300
Subject: [PATCH 292/321] img2img test template and setUp added

---
 test/extras_test.py               |   0
 test/img2img_test.py              |  59 +++++++++++++++++
 test/test_files/img2img_basic.png | Bin 0 -> 9932 bytes
 test/test_files/mask_basic.png    | Bin 0 -> 362 bytes
 test/txt2img_test.py              | 102 ++++++++++++++----------------
 5 files changed, 106 insertions(+), 55 deletions(-)
 create mode 100644 test/extras_test.py
 create mode 100644 test/img2img_test.py
 create mode 100644 test/test_files/img2img_basic.png
 create mode 100644 test/test_files/mask_basic.png

diff --git a/test/extras_test.py b/test/extras_test.py
new file mode 100644
index 00000000..e69de29b
diff --git a/test/img2img_test.py b/test/img2img_test.py
new file mode 100644
index 00000000..d8ed309d
--- /dev/null
+++ b/test/img2img_test.py
@@ -0,0 +1,59 @@
+import unittest
+import requests
+from gradio.processing_utils import encode_pil_to_base64
+from PIL import Image
+
+class Img2ImgWorking(unittest.TestCase):
+    def setUp(self):
+        self.url_img2img = "http://localhost:7860/sdapi/v1/img2img"
+        self.simple_img2img = {
+            "init_images": [
+                encode_pil_to_base64(Image.open(r"test/test_files/img2img_basic.png"))
+                ],
+            "resize_mode": 0,
+            "denoising_strength": 0.75,
+            "mask": None,
+            "mask_blur": 4,
+            "inpainting_fill": 0,
+            "inpaint_full_res": False,
+            "inpaint_full_res_padding": 0,
+            "inpainting_mask_invert": 0,
+            "prompt": "example prompt",
+            "styles": [
+                ""
+                ],
+            "seed": -1,
+            "subseed": -1,
+            "subseed_strength": 0,
+            "seed_resize_from_h": -1,
+            "seed_resize_from_w": -1,
+            "batch_size": 1,
+            "n_iter": 1,
+            "steps": 3,
+            "cfg_scale": 7,
+            "width": 64,
+            "height": 64,
+            "restore_faces": False,
+            "tiling": False,
+            "negative_prompt": "",
+            "eta": 0,
+            "s_churn": 0,
+            "s_tmax": 0,
+            "s_tmin": 0,
+            "s_noise": 1,
+            "override_settings": {},
+            "sampler_index": "Euler a",
+            "include_init_images": False
+            }
+    def test_img2img_simple_performed(self):
+        self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200)
+
+    def test_inpainting_masked_performed(self):
+        self.simple_img2img["mask"] = encode_pil_to_base64(Image.open(r"test/test_files/mask_basic.png"))
+        self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200)
+
+class TestImg2ImgCorrectness(unittest.TestCase):
+    pass
+
+if __name__ == "__main__":
+    unittest.main()
\ No newline at end of file
diff --git a/test/test_files/img2img_basic.png b/test/test_files/img2img_basic.png
new file mode 100644
index 0000000000000000000000000000000000000000..49a420482d0a70b9f5986d776a66cb3ea39d1a97
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HcmV?d00001

diff --git a/test/test_files/mask_basic.png b/test/test_files/mask_basic.png
new file mode 100644
index 0000000000000000000000000000000000000000..0c2e9a6899e5c0381ce7c7364b31d684464ab423
GIT binary patch
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HcmV?d00001

diff --git a/test/txt2img_test.py b/test/txt2img_test.py
index 9484fd99..ad27686a 100644
--- a/test/txt2img_test.py
+++ b/test/txt2img_test.py
@@ -1,77 +1,69 @@
 import unittest
 import requests
-import time
-
-url_txt2img = "http://localhost:7860/sdapi/v1/txt2img"
-simple_txt2img = {
-    "enable_hr": False,
-    "denoising_strength": 0,
-    "firstphase_width": 0,
-    "firstphase_height": 0,
-    "prompt": "example prompt",
-    "styles": [
-      ""
-    ],
-    "seed": -1,
-    "subseed": -1,
-    "subseed_strength": 0,
-    "seed_resize_from_h": -1,
-    "seed_resize_from_w": -1,
-    "batch_size": 1,
-    "n_iter": 1,
-    "steps": 5,
-    "cfg_scale": 7,
-    "width": 64,
-    "height": 64,
-    "restore_faces": False,
-    "tiling": False,
-    "negative_prompt": "",
-    "eta": 0,
-    "s_churn": 0,
-    "s_tmax": 0,
-    "s_tmin": 0,
-    "s_noise": 1,
-    "sampler_index": "Euler a"
-}
 
 class TestTxt2ImgWorking(unittest.TestCase):
+    def setUp(self):
+        self.url_txt2img = "http://localhost:7860/sdapi/v1/txt2img"
+        self.simple_txt2img = {
+            "enable_hr": False,
+            "denoising_strength": 0,
+            "firstphase_width": 0,
+            "firstphase_height": 0,
+            "prompt": "example prompt",
+            "styles": [
+            ""
+            ],
+            "seed": -1,
+            "subseed": -1,
+            "subseed_strength": 0,
+            "seed_resize_from_h": -1,
+            "seed_resize_from_w": -1,
+            "batch_size": 1,
+            "n_iter": 1,
+            "steps": 3,
+            "cfg_scale": 7,
+            "width": 64,
+            "height": 64,
+            "restore_faces": False,
+            "tiling": False,
+            "negative_prompt": "",
+            "eta": 0,
+            "s_churn": 0,
+            "s_tmax": 0,
+            "s_tmin": 0,
+            "s_noise": 1,
+            "sampler_index": "Euler a"
+        }
     def test_txt2img_simple_performed(self):
-        self.assertEqual(requests.post(url_txt2img, json=simple_txt2img).status_code, 200)
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_with_negative_prompt_performed(self):
-        params = simple_txt2img.copy()
-        params["negative_prompt"] = "example negative prompt"
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["negative_prompt"] = "example negative prompt"
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_not_square_image_performed(self):
-        params = simple_txt2img.copy()
-        params["height"] = 128
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["height"] = 128
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_with_hrfix_performed(self):
-        params = simple_txt2img.copy()
-        params["enable_hr"] = True
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["enable_hr"] = True
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_with_restore_faces_performed(self):
-        params = simple_txt2img.copy()
-        params["restore_faces"] = True
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["restore_faces"] = True
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_with_tiling_faces_performed(self):
-        params = simple_txt2img.copy()
-        params["tiling"] = True
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["tiling"] = True
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_with_vanilla_sampler_performed(self):
-        params = simple_txt2img.copy()
-        params["sampler_index"] = "PLMS"
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["sampler_index"] = "PLMS"
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
     def test_txt2img_multiple_batches_performed(self):
-        params = simple_txt2img.copy()
-        params["n_iter"] = 2
-        self.assertEqual(requests.post(url_txt2img, json=params).status_code, 200)
+        self.simple_txt2img["n_iter"] = 2
+        self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
 class TestTxt2ImgCorrectness(unittest.TestCase):
     pass

From ffc5b700c417924a77797fc5e02c219f10d801be Mon Sep 17 00:00:00 2001
From: Vladimir Repin <32306715+mezotaken@users.noreply.github.com>
Date: Sat, 29 Oct 2022 21:50:06 +0300
Subject: [PATCH 293/321] extras test template added

---
 test/extras_test.py  | 29 +++++++++++++++++++++++++++++
 test/img2img_test.py |  4 ++--
 2 files changed, 31 insertions(+), 2 deletions(-)

diff --git a/test/extras_test.py b/test/extras_test.py
index e69de29b..2e1764d9 100644
--- a/test/extras_test.py
+++ b/test/extras_test.py
@@ -0,0 +1,29 @@
+import unittest
+import requests
+from gradio.processing_utils import encode_pil_to_base64
+from PIL import Image
+
+class TestExtrasWorking(unittest.TestCase):
+    def setUp(self):
+        self.url_img2img = "http://localhost:7860/sdapi/v1/extra-single-image"
+        self.simple_extras = {
+            "resize_mode": 0,
+            "show_extras_results": True,
+            "gfpgan_visibility": 0,
+            "codeformer_visibility": 0,
+            "codeformer_weight": 0,
+            "upscaling_resize": 2,
+            "upscaling_resize_w": 512,
+            "upscaling_resize_h": 512,
+            "upscaling_crop": True,
+            "upscaler_1": "None",
+            "upscaler_2": "None",
+            "extras_upscaler_2_visibility": 0,
+            "image": ""
+            }
+
+class TestExtrasCorrectness(unittest.TestCase):
+    pass
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/test/img2img_test.py b/test/img2img_test.py
index d8ed309d..61e3e285 100644
--- a/test/img2img_test.py
+++ b/test/img2img_test.py
@@ -3,7 +3,7 @@ import requests
 from gradio.processing_utils import encode_pil_to_base64
 from PIL import Image
 
-class Img2ImgWorking(unittest.TestCase):
+class TestImg2ImgWorking(unittest.TestCase):
     def setUp(self):
         self.url_img2img = "http://localhost:7860/sdapi/v1/img2img"
         self.simple_img2img = {
@@ -56,4 +56,4 @@ class TestImg2ImgCorrectness(unittest.TestCase):
     pass
 
 if __name__ == "__main__":
-    unittest.main()
\ No newline at end of file
+    unittest.main()

From 4609b83cd496013a05e77c42af031d89f07785a9 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sat, 29 Oct 2022 16:09:19 -0300
Subject: [PATCH 294/321] Add PNG Info endpoint

---
 modules/api/api.py    | 12 +++++++++---
 modules/api/models.py |  9 ++++++++-
 2 files changed, 17 insertions(+), 4 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 49c213ea..8fcd068d 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -5,7 +5,7 @@ import modules.shared as shared
 from modules.api.models import *
 from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
 from modules.sd_samplers import all_samplers
-from modules.extras import run_extras
+from modules.extras import run_extras, run_pnginfo
 
 def upscaler_to_index(name: str):
     try:
@@ -32,6 +32,7 @@ class Api:
         self.app.add_api_route("/sdapi/v1/img2img", self.img2imgapi, methods=["POST"], response_model=ImageToImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
+        self.app.add_api_route("/sdapi/v1/png-info", self.pnginfoapi, methods=["POST"], response_model=PNGInfoResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -125,8 +126,13 @@ class Api:
 
         return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
     
-    def pnginfoapi(self):
-        raise NotImplementedError
+    def pnginfoapi(self, req:PNGInfoRequest):
+        if(not req.image.strip()):
+            return PNGInfoResponse(info="")
+
+        result = run_pnginfo(decode_base64_to_image(req.image.strip()))
+
+        return PNGInfoResponse(info=result[1])
 
     def launch(self, server_name, port):
         self.app.include_router(self.router)
diff --git a/modules/api/models.py b/modules/api/models.py
index dd122321..58e8e58b 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -1,4 +1,5 @@
 import inspect
+from click import prompt
 from pydantic import BaseModel, Field, create_model
 from typing import Any, Optional
 from typing_extensions import Literal
@@ -148,4 +149,10 @@ class ExtrasBatchImagesRequest(ExtrasBaseRequest):
     imageList: list[FileData] = Field(title="Images", description="List of images to work on. Must be Base64 strings")
 
 class ExtrasBatchImagesResponse(ExtraBaseResponse):
-    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
\ No newline at end of file
+    images: list[str] = Field(title="Images", description="The generated images in base64 format.")
+
+class PNGInfoRequest(BaseModel):
+    image: str = Field(title="Image", description="The base64 encoded PNG image")
+
+class PNGInfoResponse(BaseModel):
+    info: str = Field(title="Image info", description="A string with all the info the image had")
\ No newline at end of file

From 83a1f44ae26cb89492064bb8be0321b14a75efe4 Mon Sep 17 00:00:00 2001
From: Bruno Seoane <brunoseoaneamarillo@gmail.com>
Date: Sat, 29 Oct 2022 16:10:00 -0300
Subject: [PATCH 295/321] Fix space

---
 modules/api/api.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 8fcd068d..d0f488ca 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -126,7 +126,7 @@ class Api:
 
         return ExtrasBatchImagesResponse(images=list(map(encode_pil_to_base64, result[0])), html_info=result[1])
     
-    def pnginfoapi(self, req:PNGInfoRequest):
+    def pnginfoapi(self, req: PNGInfoRequest):
         if(not req.image.strip()):
             return PNGInfoResponse(info="")
 

From 9bb6b6509aff8c1e6546d5a798ef9e9922758dc4 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 22:20:02 +0300
Subject: [PATCH 296/321] add postprocess call for scripts

---
 modules/processing.py | 12 +++++++++---
 modules/scripts.py    | 24 +++++++++++++++++++++---
 2 files changed, 30 insertions(+), 6 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 548eec29..50343846 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -478,7 +478,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
         model_hijack.embedding_db.load_textual_inversion_embeddings()
 
     if p.scripts is not None:
-        p.scripts.run_alwayson_scripts(p)
+        p.scripts.process(p)
 
     infotexts = []
     output_images = []
@@ -501,7 +501,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
             seeds = p.all_seeds[n * p.batch_size:(n + 1) * p.batch_size]
             subseeds = p.all_subseeds[n * p.batch_size:(n + 1) * p.batch_size]
 
-            if (len(prompts) == 0):
+            if len(prompts) == 0:
                 break
 
             with devices.autocast():
@@ -590,7 +590,13 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                 images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(), short_filename=not opts.grid_extended_filename, p=p, grid=True)
 
     devices.torch_gc()
-    return Processed(p, output_images, p.all_seeds[0], infotext() + "".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], all_prompts=p.all_prompts, all_seeds=p.all_seeds, all_subseeds=p.all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
+
+    res = Processed(p, output_images, p.all_seeds[0], infotext() + "".join(["\n\n" + x for x in comments]), subseed=p.all_subseeds[0], all_prompts=p.all_prompts, all_seeds=p.all_seeds, all_subseeds=p.all_subseeds, index_of_first_image=index_of_first_image, infotexts=infotexts)
+
+    if p.scripts is not None:
+        p.scripts.postprocess(p, res)
+
+    return res
 
 
 class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
diff --git a/modules/scripts.py b/modules/scripts.py
index a7f36012..96e44bfd 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -64,7 +64,16 @@ class Script:
     def process(self, p, *args):
         """
         This function is called before processing begins for AlwaysVisible scripts.
-        scripts. You can modify the processing object (p) here, inject hooks, etc.
+        You can modify the processing object (p) here, inject hooks, etc.
+        args contains all values returned by components from ui()
+        """
+
+        pass
+
+    def postprocess(self, p, processed, *args):
+        """
+        This function is called after processing ends for AlwaysVisible scripts.
+        args contains all values returned by components from ui()
         """
 
         pass
@@ -289,13 +298,22 @@ class ScriptRunner:
 
         return processed
 
-    def run_alwayson_scripts(self, p):
+    def process(self, p):
         for script in self.alwayson_scripts:
             try:
                 script_args = p.script_args[script.args_from:script.args_to]
                 script.process(p, *script_args)
             except Exception:
-                print(f"Error running alwayson script: {script.filename}", file=sys.stderr)
+                print(f"Error running process: {script.filename}", file=sys.stderr)
+                print(traceback.format_exc(), file=sys.stderr)
+
+    def postprocess(self, p, processed):
+        for script in self.alwayson_scripts:
+            try:
+                script_args = p.script_args[script.args_from:script.args_to]
+                script.postprocess(p, processed, *script_args)
+            except Exception:
+                print(f"Error running postprocess: {script.filename}", file=sys.stderr)
                 print(traceback.format_exc(), file=sys.stderr)
 
     def reload_sources(self, cache):

From 4cb5983c308cb8a4940b00babc2cf6fc9261692f Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 22:38:50 +0300
Subject: [PATCH 297/321] rename french translation to be in line with others

---
 localizations/{fr-FR.json => fr_FR.json} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename localizations/{fr-FR.json => fr_FR.json} (100%)

diff --git a/localizations/fr-FR.json b/localizations/fr_FR.json
similarity index 100%
rename from localizations/fr-FR.json
rename to localizations/fr_FR.json

From d699720254365069866eafcdc519743664075a6d Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 29 Oct 2022 22:39:10 +0300
Subject: [PATCH 298/321] add translators to codeowners with their respective
 translation files

---
 CODEOWNERS | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/CODEOWNERS b/CODEOWNERS
index 12e87aae..a48d8012 100644
--- a/CODEOWNERS
+++ b/CODEOWNERS
@@ -1,3 +1,13 @@
 *       @AUTOMATIC1111
-
-/localizations/ko_KR.json   @36DB
\ No newline at end of file
+/localizations/ar_AR.json   @xmodar @blackneoo
+/localizations/de_DE.json   @LunixWasTaken
+/localizations/es_ES.json   @innovaciones
+/localizations/fr_FR.json   @tumbly
+/localizations/it_IT.json   @EugenioBuffo
+/localizations/ja_JP.json   @yuuki76
+/localizations/ko_KR.json   @36DB
+/localizations/pt_BR.json   @M-art-ucci
+/localizations/ru_RU.json   @kabachuha
+/localizations/tr_TR.json   @camenduru
+/localizations/zh_CN.json   @dtlnor @bgluminous
+/localizations/zh_TW.json   @benlisquare

From f62db4d5c753bc32d2ae166606ce41f4c5fa5c43 Mon Sep 17 00:00:00 2001
From: evshiron <evshiron@gmail.com>
Date: Sun, 30 Oct 2022 03:55:43 +0800
Subject: [PATCH 299/321] fix progress response model

---
 modules/api/api.py    | 30 ------------------------------
 modules/api/models.py |  8 ++++----
 2 files changed, 4 insertions(+), 34 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index e93cddcb..7e8522a2 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,33 +1,3 @@
-# import time
-
-# from modules.api.models import StableDiffusionTxt2ImgProcessingAPI, StableDiffusionImg2ImgProcessingAPI
-# from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
-# from modules.sd_samplers import all_samplers
-# from modules.extras import run_pnginfo
-# import modules.shared as shared
-# from modules import devices
-# import uvicorn
-# from fastapi import Body, APIRouter, HTTPException
-# from fastapi.responses import JSONResponse
-# from pydantic import BaseModel, Field, Json
-# from typing import List
-# import json
-# import io
-# import base64
-# from PIL import Image
-
-# sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
-
-# class TextToImageResponse(BaseModel):
-#     images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-#     parameters: Json
-#     info: Json
-
-# class ImageToImageResponse(BaseModel):
-#     images: List[str] = Field(default=None, title="Image", description="The generated image in base64 format.")
-#     parameters: Json
-#     info: Json
-
 import time
 import uvicorn
 from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image
diff --git a/modules/api/models.py b/modules/api/models.py
index 8d4abc39..e1762fb9 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -1,6 +1,6 @@
 import inspect
 from click import prompt
-from pydantic import BaseModel, Field, create_model
+from pydantic import BaseModel, Field, Json, create_model
 from typing import Any, Optional
 from typing_extensions import Literal
 from inflection import underscore
@@ -158,6 +158,6 @@ class PNGInfoResponse(BaseModel):
     info: str = Field(title="Image info", description="A string with all the info the image had")
 
 class ProgressResponse(BaseModel):
-    progress: float
-    eta_relative: float
-    state: dict
+    progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")
+    eta_relative: float = Field(title="ETA in secs")
+    state: Json

From e9c6c2a51f972fd7cd88ea740ade4ac3d8108b67 Mon Sep 17 00:00:00 2001
From: evshiron <evshiron@gmail.com>
Date: Sun, 30 Oct 2022 04:02:56 +0800
Subject: [PATCH 300/321] add description for state field

---
 modules/api/models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/api/models.py b/modules/api/models.py
index e1762fb9..709ab5a6 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -160,4 +160,4 @@ class PNGInfoResponse(BaseModel):
 class ProgressResponse(BaseModel):
     progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")
     eta_relative: float = Field(title="ETA in secs")
-    state: Json
+    state: Json = Field(title="State", description="The current state snapshot")

From 88f46a5bec610cf03641f18becbe3deda541e982 Mon Sep 17 00:00:00 2001
From: evshiron <evshiron@gmail.com>
Date: Sun, 30 Oct 2022 05:04:29 +0800
Subject: [PATCH 301/321] update progress response model

---
 modules/api/api.py    | 6 +++---
 modules/api/models.py | 4 ++--
 modules/shared.py     | 4 ++--
 3 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 7e8522a2..5912d289 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -61,7 +61,7 @@ class Api:
         self.app.add_api_route("/sdapi/v1/extra-single-image", self.extras_single_image_api, methods=["POST"], response_model=ExtrasSingleImageResponse)
         self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
         self.app.add_api_route("/sdapi/v1/png-info", self.pnginfoapi, methods=["POST"], response_model=PNGInfoResponse)
-        self.app.add_api_route("/sdapi/v1/progress", self.progressapi, methods=["GET"])
+        self.app.add_api_route("/sdapi/v1/progress", self.progressapi, methods=["GET"], response_model=ProgressResponse)
 
     def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
         sampler_index = sampler_to_index(txt2imgreq.sampler_index)
@@ -171,7 +171,7 @@ class Api:
         # copy from check_progress_call of ui.py
 
         if shared.state.job_count == 0:
-            return ProgressResponse(progress=0, eta_relative=0, state=shared.state.js())
+            return ProgressResponse(progress=0, eta_relative=0, state=shared.state.dict())
 
         # avoid dividing zero
         progress = 0.01
@@ -187,7 +187,7 @@ class Api:
 
         progress = min(progress, 1)
 
-        return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.js())
+        return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict())
 
     def launch(self, server_name, port):
         self.app.include_router(self.router)
diff --git a/modules/api/models.py b/modules/api/models.py
index 709ab5a6..0ab85ec5 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -1,6 +1,6 @@
 import inspect
 from click import prompt
-from pydantic import BaseModel, Field, Json, create_model
+from pydantic import BaseModel, Field, create_model
 from typing import Any, Optional
 from typing_extensions import Literal
 from inflection import underscore
@@ -160,4 +160,4 @@ class PNGInfoResponse(BaseModel):
 class ProgressResponse(BaseModel):
     progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")
     eta_relative: float = Field(title="ETA in secs")
-    state: Json = Field(title="State", description="The current state snapshot")
+    state: dict = Field(title="State", description="The current state snapshot")
diff --git a/modules/shared.py b/modules/shared.py
index 0f4c035d..f7b0990c 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -147,7 +147,7 @@ class State:
     def get_job_timestamp(self):
         return datetime.datetime.now().strftime("%Y%m%d%H%M%S")  # shouldn't this return job_timestamp?
 
-    def js(self):
+    def dict(self):
         obj = {
             "skipped": self.skipped,
             "interrupted": self.skipped,
@@ -158,7 +158,7 @@ class State:
             "sampling_steps": self.sampling_steps,
         }
 
-        return json.dumps(obj)
+        return obj
 
 
 state = State()

From 9f104b53c425e248595e5b6481336d2a339e015e Mon Sep 17 00:00:00 2001
From: evshiron <evshiron@gmail.com>
Date: Sun, 30 Oct 2022 05:19:17 +0800
Subject: [PATCH 302/321] preview current image when
 opts.show_progress_every_n_steps is enabled

---
 modules/api/api.py    | 8 ++++++--
 modules/api/models.py | 1 +
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 5912d289..e960bb7b 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -1,7 +1,7 @@
 import time
 import uvicorn
 from gradio.processing_utils import encode_pil_to_base64, decode_base64_to_file, decode_base64_to_image
-from fastapi import APIRouter, HTTPException
+from fastapi import APIRouter, Depends, HTTPException
 import modules.shared as shared
 from modules import devices
 from modules.api.models import *
@@ -187,7 +187,11 @@ class Api:
 
         progress = min(progress, 1)
 
-        return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict())
+        current_image = None
+        if shared.state.current_image:
+            current_image = encode_pil_to_base64(shared.state.current_image)
+
+        return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict(), current_image=current_image)
 
     def launch(self, server_name, port):
         self.app.include_router(self.router)
diff --git a/modules/api/models.py b/modules/api/models.py
index 0ab85ec5..c8bc719a 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -161,3 +161,4 @@ class ProgressResponse(BaseModel):
     progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")
     eta_relative: float = Field(title="ETA in secs")
     state: dict = Field(title="State", description="The current state snapshot")
+    current_image: str = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.")

From 22a54b058211d7b067dce92a3c1dad8d5849da70 Mon Sep 17 00:00:00 2001
From: Strothis <mathis.andreas.stroehlein@gmail.com>
Date: Sat, 29 Oct 2022 23:43:30 +0200
Subject: [PATCH 303/321] Fix German Localization

---
 localizations/de_DE.json | 525 +++++++++++++++++++++------------------
 1 file changed, 282 insertions(+), 243 deletions(-)

diff --git a/localizations/de_DE.json b/localizations/de_DE.json
index b52fa681..56d54b54 100644
--- a/localizations/de_DE.json
+++ b/localizations/de_DE.json
@@ -1,42 +1,41 @@
- 
 {
     "⤡": "⤡",
     "⊞": "⊞",
     "×": "×",
     "❮": "❮",
     "❯": "❯",
+    "view": "API ",
+    "api": "anzeigen",
+    "•": " • ",
+    "built with gradio": "Mit Gradio erstellt",
     "Loading...": "Lädt...",
-    "view": "zeigen",
-    "api": "api",
-    "•": "•",
-    "built with gradio": "Erstellt mit Gradio",
-    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "Stable Diffusion checkpoint": "Stable Diffusion Checkpoint",
     "txt2img": "txt2img",
     "img2img": "img2img",
     "Extras": "Extras",
     "PNG Info": "PNG Info",
-    "Checkpoint Merger": "Checkpoint Merger",
+    "Checkpoint Merger": "Checkpoint Fusion",
     "Train": "Trainieren",
     "Settings": "Einstellungen",
     "Prompt": "Prompt",
-    "Negative prompt": "Negativer Prompt",
+    "Negative prompt": "Negative Prompt",
     "Run": "Ausführen",
     "Skip": "Überspringen",
     "Interrupt": "Abbrechen",
     "Generate": "Generieren",
-    "Style 1": "Style 1",
-    "Style 2": "Style 2",
+    "Style 1": "Stil 1",
+    "Style 2": "Stil 2",
     "Label": "Bezeichnung",
     "File": "Datei",
     "Drop File Here": "Datei hier ablegen",
     "-": "-",
-    "o": "o",
-    "Click to Upload": "Klicken zum Hochladen",
+    "o": "oder",
+    "Click to Upload": "Hochladen",
     "Image": "Bild",
     "Check progress": "Fortschitt prüfen",
     "Check progress (first)": "Fortschritt prüfen (Initial)",
-    "Sampling Steps": "Sampling Steps",
-    "Sampling method": "Sampling method",
+    "Sampling Steps": "Samplingschritte",
+    "Sampling method": "Samplingmethode",
     "Euler a": "Euler a",
     "Euler": "Euler",
     "LMS": "LMS",
@@ -54,37 +53,37 @@
     "Height": "Höhe",
     "Restore faces": "Gesichter wiederherstellen",
     "Tiling": "Kacheln",
-    "Highres. fix": "Highres. fix",
-    "Firstpass width": "Breite erstdurchlauf",
-    "Firstpass height": "Höhe erstdurchlauf",
-    "Denoising strength": "Denoising stärke",
-    "Batch count": "Batch anzahl",
-    "Batch size": "Batch größe",
-    "CFG Scale": "CFG Scale",
+    "Highres. fix": "Highres. Fix",
+    "Firstpass width": "Breite Erstdurchlauf",
+    "Firstpass height": "Höhe Erstdurchlauf",
+    "Denoising strength": "Denoisingstärke",
+    "Batch count": "Batchanzahl",
+    "Batch size": "Batchgröße",
+    "CFG Scale": "CFG-Skala",
     "Seed": "Seed",
     "Extra": "Extra",
-    "Variation seed": "Variation seed",
-    "Variation strength": "Variation strength",
-    "Resize seed from width": "Seed von der Breite her ändern",
-    "Resize seed from height": " Seed von der Breite her ändern",
-    "Script": "Script",
+    "Variation seed": "Variationsseed",
+    "Variation strength": "Variationsstärke",
+    "Resize seed from width": "Seed von Breite ändern",
+    "Resize seed from height": "Seed von Höhe ändern",
+    "Script": "Skript",
     "None": "Nichts",
-    "Prompt matrix": "Prompt matrix",
-    "Prompts from file or textbox": "Prompts von Datei oder Textbox",
-    "X/Y plot": "X/Y graph",
+    "Prompt matrix": "Promptmatrix",
+    "Prompts from file or textbox": "Prompts aus Datei oder Textfeld",
+    "X/Y plot": "X/Y Graf",
     "Put variable parts at start of prompt": "Variable teile am start des Prompt setzen",
-    "Show Textbox": "Textbox Anzeigen",
-    "File with inputs": "Datei mit Inputwerten",
-    "Prompts": "Prompts",
-    "X type": "X typ",
+    "Iterate seed every line": "Iterate seed every line",
+    "List of prompt inputs": "List of prompt inputs",
+    "Upload prompt inputs": "Upload prompt inputs",
+    "X type": "X-Typ",
     "Nothing": "Nichts",
     "Var. seed": "Var. seed",
     "Var. strength": "Var. strength",
-    "Steps": "Steps",
-    "Prompt S/R": "Prompt S/R",
-    "Prompt order": "Prompt order",
+    "Steps": "Schritte",
+    "Prompt S/R": "Prompt Suchen/Ersetzen",
+    "Prompt order": "Promptreihenfolge",
     "Sampler": "Sampler",
-    "Checkpoint name": "Checkpoint name",
+    "Checkpoint name": "Checkpointname",
     "Hypernetwork": "Hypernetwork",
     "Hypernet str.": "Hypernet str.",
     "Sigma Churn": "Sigma Churn",
@@ -94,76 +93,78 @@
     "Eta": "Eta",
     "Clip skip": "Clip skip",
     "Denoising": "Denoising",
-    "X values": "X values",
-    "Y type": "Y type",
-    "Y values": "Y values",
+    "Cond. Image Mask Weight": "Cond. Image Mask Weight",
+    "X values": "X-Werte",
+    "Y type": "Y-Typ",
+    "Y values": "Y-Werte",
     "Draw legend": "Legende zeichnen",
     "Include Separate Images": "Seperate Bilder hinzufügen",
     "Keep -1 for seeds": "-1 als Seed behalten",
-    "Drop Image Here": "Bild hier ablegen",
     "Save": "Speichern",
-    "Send to img2img": "Senden an img2img",
-    "Send to inpaint": "Senden an inpaint",
-    "Send to extras": "Senden an extras",
-    "Make Zip when Save?": "Zip beim speichern erstellen?",
-    "Textbox": "Textbox",
-    "Interrogate\nCLIP": "CLIP\nAbfragen",
+    "Send to img2img": "An img2img senden",
+    "Send to inpaint": "An Inpaint senden",
+    "Send to extras": "An Extras senden",
+    "Make Zip when Save?": "Zip beim Speichern erstellen?",
+    "Textbox": "Textfeld",
+    "Interrogate\nCLIP": "Interrogate\nCLIP",
+    "Interrogate\nDeepBooru": "Interrogate\nDeepBooru",
     "Inpaint": "Inpaint",
     "Batch img2img": "Batch img2img",
     "Image for img2img": "Bild für img2img",
-    "Image for inpainting with mask": "Bild für inpainting mit maske",
+    "Drop Image Here": "Bild hier ablegen",
+    "Image for inpainting with mask": "Bild für inpainting mit Maske",
     "Mask": "Maske",
-    "Mask blur": "Masken Unschärfe",
-    "Mask mode": "Masken modus",
+    "Mask blur": "Maskenunschärfe",
+    "Mask mode": "Maskenmodus",
     "Draw mask": "Maske zeichnen",
-    "Upload mask": "Maske Hochladen",
-    "Masking mode": "Modus zum Maskieren",
-    "Inpaint masked": "Inpaint maskiertes",
-    "Inpaint not masked": "Inpaint nicht maskiertes",
+    "Upload mask": "Maske hochladen",
+    "Masking mode": "Maskierungsmodus",
+    "Inpaint masked": "Maskiertes inpainten",
+    "Inpaint not masked": "Nicht maskiertes inpainten",
     "Masked content": "Maskierter Inhalt",
     "fill": "ausfüllen",
     "original": "original",
     "latent noise": "latent noise",
     "latent nothing": "latent nothing",
     "Inpaint at full resolution": "Inpaint mit voller Auflösung",
-    "Inpaint at full resolution padding, pixels": "Inpaint mit voller Auflösung Abstand, Pixels",
+    "Inpaint at full resolution padding, pixels": "Inpaint bei voller Auflösung Abstand, Pixel",
     "Process images in a directory on the same machine where the server is running.": "Bilder in einem Verzeichnis auf demselben Rechner verarbeiten, auf dem der Server läuft.",
     "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Ein leeres Ausgabeverzeichnis verwenden, um Bilder normal zu speichern, anstatt in das Ausgabeverzeichnis zu schreiben.",
-    "Input directory": "Input Verzeichnis",
-    "Output directory": "Output verzeichnis",
-    "Resize mode": "Größe anpassen - Modus",
-    "Just resize": "Nur größe anpassen",
-    "Crop and resize": "Zuschneiden und größe anpassen",
+    "Input directory": "Eingabeverzeichnis",
+    "Output directory": "Ausgabeverzeichnis",
+    "Resize mode": "Größenänderungsmodus",
+    "Just resize": "Nur Größe anpassen",
+    "Crop and resize": "Zuschneiden und Größe anpassen",
     "Resize and fill": "Größe anpassen und ausfüllen",
-    "img2img alternative test": "img2img alternative test",
+    "img2img alternative test": "img2img alternativer Test",
     "Loopback": "Loopback",
     "Outpainting mk2": "Outpainting mk2",
     "Poor man's outpainting": "Poor man's outpainting",
-    "SD upscale": "SD upscale",
-    "should be 2 or lower.": "sollte 2 oder niedriger sein.",
-    "Override `Sampling method` to Euler?(this method is built for it)": "`Sampling method` a Euler überschreiben? (diese methode is dafür ausgelegt)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "`prompt` zum gleichen wert wie `Originaler prompt` überschreiben? (und `Negativer prompt`)",
-    "Original prompt": "Originaler Prompt",
-    "Original negative prompt": "Originaler negativer prompt",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "`Sampling Steps` zum gleichen wert wie `Decode steps` überschreiben?",
-    "Decode steps": "Decode steps",
-    "Override `Denoising strength` to 1?": "`Denoising strength` zu 1 überschreiben?",
-    "Decode CFG scale": "Decode CFG scale",
+    "SD upscale": "SD-Upscale",
+    "should be 2 or lower.": "Sollte 2 oder niedriger sein.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "`Samplingmethode` auf Euler setzen? (Diese Methode is dafür ausgelegt)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "`Prompt` auf denselben Wert wie `Originale Prompt` (und `Negative Prompt`) setzen?",
+    "Original prompt": "Originale Prompt",
+    "Original negative prompt": "Originale negative Prompt",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "`Samplingschritte` auf denselben Wert wie `Dekodierschritte` setzen?",
+    "Decode steps": "Dekodierschritte",
+    "Override `Denoising strength` to 1?": "`Denoisingstärke auf 1 setzen?",
+    "Decode CFG scale": "CFG-Skala dekodieren",
     "Randomness": "Zufälligkeit",
-    "Sigma adjustment for finding noise for image": "Sigma anpassungen um noise für Bilder zu finden.",
-    "Loops": "Loops",
+    "Sigma adjustment for finding noise for image": "Sigma-Anpassung für die Suche nach Noise des Bildes",
+    "Loops": "Schleifen",
     "Denoising strength change factor": "Denoising strength change factor",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Empfohlene Einstellungen: Sampling Schritte: 80-100, Sampler Methode: Euler a, Denoising stärke: 0.8",
-    "Pixels to expand": "Anz. Pixel zum erweitern",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Empfohlene Einstellungen: Samplingschritte: 80-100, Samplermethode: Euler a, Denoisingstärke: 0.8",
+    "Pixels to expand": "Pixel zum Erweitern",
     "Outpainting direction": "Outpainting Richtung",
     "left": "Links",
     "right": "Rechts",
     "up": "Hoch",
     "down": "Runter",
-    "Fall-off exponent (lower=higher detail)": "Fall-off exponent (weniger=mehr details)",
-    "Color variation": "Farb variationen",
-    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Skaliert das Bild auf die doppelte Größe; Benutz die Schieberegler für Breite und Höhe, um die Kachelgröße einzustellen",
-    "Tile overlap": "Kacheln überlappungen",
+    "Fall-off exponent (lower=higher detail)": "Abfallexponent (niedriger=mehr Details)",
+    "Color variation": "Farbabweichung",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Skaliert das Bild auf die doppelte Größe; Benutze die Schieberegler für Breite und Höhe, um die Kachelgröße einzustellen",
+    "Tile overlap": "Kachelüberlappung",
     "Upscaler": "Upscaler",
     "Lanczos": "Lanczos",
     "LDSR": "LDSR",
@@ -171,249 +172,287 @@
     "ScuNET GAN": "ScuNET GAN",
     "ScuNET PSNR": "ScuNET PSNR",
     "ESRGAN_4x": "ESRGAN_4x",
-    "Single Image": "Ein Bild",
-    "Batch Process": "Massenverarbeitung",
-    "Batch from Directory": "Massenverarbeitung vom Verzeichnis",
+    "Single Image": "Einzelnes Bild",
+    "Batch Process": "Batchverarbeitung",
+    "Batch from Directory": "Batchverarbeitung aus Verzeichnis",
     "Source": "Quelle",
     "Show result images": "Bildergebnisse zeigen",
-    "Scale by": "Skalieren von",
+    "Scale by": "Skalieren um",
     "Scale to": "Skalieren zu",
     "Resize": "Größe anpassen",
     "Crop to fit": "Zuschneiden damit es passt",
-    "Upscaler 2 visibility": "Upscaler 2 sichtbarkeit",
-    "GFPGAN visibility": "GFPGAN sichtbarkeit",
-    "CodeFormer visibility": "CodeFormer sichtbarkeit",
-    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer gewicht (0 = maximaler effekt, 1 = minimalster effekt)",
-    "Open output directory": "Zielverzeichnis öffnen",
-    "Send to txt2img": "Senden an txt2img",
+    "Upscaler 2 visibility": "Upscaler 2 Sichtbarkeit",
+    "GFPGAN visibility": "GFPGAN Sichtbarkeit",
+    "CodeFormer visibility": "CodeFormer Sichtbarkeit",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "CodeFormer Gewichtung (0 = maximale Wirkung, 1 = minimale Wirkung)",
+    "Upscale Before Restoring Faces": "Upscale Before Restoring Faces",
+    "Send to txt2img": "An txt2img senden",
     "A merger of the two checkpoints will be generated in your": "Die zusammgeführten Checkpoints werden gespeichert unter",
-    "checkpoint": "checkpoint",
+    "checkpoint": "Checkpoint",
     "directory.": "Verzeichnis.",
     "Primary model (A)": "Primäres Modell (A)",
     "Secondary model (B)": "Sekundäres Modell (B)",
     "Tertiary model (C)": "Tertiäres Modell (C)",
     "Custom Name (Optional)": "Eigener Name (Optional)",
-    "Multiplier (M) - set to 0 to get model A": "Multiplier (M) - auf 0 setzen um Modell A zu bekommen",
+    "Multiplier (M) - set to 0 to get model A": "Multiplikator (M) - auf 0 setzen, um Modell A zu erhalten",
     "Interpolation Method": "Interpolationsmethode",
     "Weighted sum": "Weighted sum",
     "Add difference": "Add difference",
     "Save as float16": "Speichern als float16",
     "See": "Siehe ",
-    "wiki": "wiki ",
-    "for detailed explanation.": "für eine detailierte erklärung.",
+    "wiki": "Wiki ",
+    "for detailed explanation.": "für eine ausführliche Erklärung.",
     "Create embedding": "Embedding erstellen",
     "Create hypernetwork": "Hypernetwork erstellen",
     "Preprocess images": "Bilder vorbereiten",
     "Name": "Name",
     "Initialization text": "Initialisierungstext",
-    "Number of vectors per token": "Anzahl der vektoren pro token",
+    "Number of vectors per token": "Anzahl der Vektoren pro Token",
     "Overwrite Old Embedding": "Alte Embeddings überschreiben",
     "Modules": "Module",
-    "Enter hypernetwork layer structure": "Hypernetwork-Schichtstruktur angeben",
+    "Enter hypernetwork layer structure": "Hypernetwork-Ebenenstruktur angeben",
     "Select activation function of hypernetwork": "Aktivierungsfunktion des Hypernetwork auswählen",
     "linear": "linear",
     "relu": "relu",
     "leakyrelu": "leakyrelu",
     "elu": "elu",
     "swish": "swish",
-    "Add layer normalization": "Schicht normalisierung hinzufügen",
+    "tanh": "tanh",
+    "sigmoid": "sigmoid",
+    "celu": "celu",
+    "gelu": "gelu",
+    "glu": "glu",
+    "hardshrink": "hardshrink",
+    "hardsigmoid": "hardsigmoid",
+    "hardtanh": "hardtanh",
+    "logsigmoid": "logsigmoid",
+    "logsoftmax": "logsoftmax",
+    "mish": "mish",
+    "prelu": "prelu",
+    "rrelu": "rrelu",
+    "relu6": "relu6",
+    "selu": "selu",
+    "silu": "silu",
+    "softmax": "softmax",
+    "softmax2d": "softmax2d",
+    "softmin": "softmin",
+    "softplus": "softplus",
+    "softshrink": "softshrink",
+    "softsign": "softsign",
+    "tanhshrink": "tanhshrink",
+    "threshold": "threshold",
+    "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Auswahl der Initialisierung der Ebenengewichte. Empfohlen wird relu-like - Kaiming, sigmoid-like - Xavier",
+    "Normal": "Normal",
+    "KaimingUniform": "KaimingUniform",
+    "KaimingNormal": "KaimingNormal",
+    "XavierUniform": "XavierUniform",
+    "XavierNormal": "XavierNormal",
+    "Add layer normalization": "Ebenennormalisierung hinzufügen",
     "Use dropout": "Dropout benutzen",
     "Overwrite Old Hypernetwork": "Altes Hypernetwork überschreiben",
     "Source directory": "Quellenverzeichnis",
     "Destination directory": "Zielverzeichnis",
-    "Existing Caption txt Action": "Vorhandene Beschriftung der txt Aktion",
+    "Existing Caption txt Action": "Vorhandene Beschriftung der txt",
     "ignore": "ignorieren",
     "copy": "kopieren",
-    "prepend": "vorangestellt",
+    "prepend": "voranstellen",
     "append": "anhängen",
     "Create flipped copies": "Gespiegelte Bilder erstellen",
     "Split oversized images": "Übergroße Bilder aufteilen",
-    "Use BLIP for caption": "BLIP für Überschrift nutzen",
-    "Use deepbooru for caption": "Deepbooru für Überschrift nutzen",
-    "Split image threshold": "Bilder aufteilen Grenzwert",
-    "Split image overlap ratio": "Überschneidungsverhältnis beim Bilder aufteilen",
+    "Auto focal point crop": "Automatisch auf Fokuspunkt zuschneiden",
+    "Use BLIP for caption": "BLIP für Beschriftung nutzen",
+    "Use deepbooru for caption": "Deepbooru für Beschriftung nutzen",
+    "Split image threshold": "Schwellenwert für die Aufteilung von Bildern",
+    "Split image overlap ratio": "Überschneidungsverhältnis der Teilbilder",
+    "Focal point face weight": "Fokuspunkt Gesicht Gewicht",
+    "Focal point entropy weight": "Fokuspunkt Entropie Gewicht",
+    "Focal point edges weight": "Fokuspunkt Kanten Gewicht",
+    "Create debug image": "Testbild erstellen",
     "Preprocess": "Vorbereiten",
-    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Trainieren eines Embeddings oder ein Hypernetwork; Sie müssen ein Verzeichnis mit einem Satz von Bildern im Verhältnis 1:1 angeben",
-    "[wiki]": "[wiki]",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Trainieren eines Embeddings oder eines Hypernetworks; Sie müssen ein Verzeichnis mit einem Satz von Bildern im Verhältnis 1:1 angeben",
+    "[wiki]": "[Wiki]",
     "Embedding": "Embedding",
-    "Embedding Learning rate": "Embedding Learning rate",
-    "Hypernetwork Learning rate": "Hypernetwork Learning rate",
-    "Dataset directory": "Dataset verzeichnis",
-    "Log directory": "Log verzeichnis",
-    "Prompt template file": "Vorlage Datei für Prompt",
-    "Max steps": "Max steps",
-    "Save an image to log directory every N steps, 0 to disable": "Alle N steps, ein Bild im Log Verzeichnis speichern, 0 zum deaktivieren",
-    "Save a copy of embedding to log directory every N steps, 0 to disable": "Alle N steps, eine Kopie des Embedding im Log Verzeichnis speichern, 0 zum deaktivieren",
-    "Save images with embedding in PNG chunks": "Das Bild mit embedding in PNG Fragmente speichern",
-    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Bei vorschau die Parameter (prompt, etc...) vom txt2img tab lesen",
+    "Embedding Learning rate": "Embedding Lernrate",
+    "Hypernetwork Learning rate": "Hypernetwork Lernrate",
+    "Dataset directory": "Datensatzverzeichnis",
+    "Log directory": "Protokollverzeichnis",
+    "Prompt template file": "Prompt-Vorlagendatei",
+    "Max steps": "Max Schritte",
+    "Save an image to log directory every N steps, 0 to disable": "Speichere alle N Schritte ein Bild im Protokollverzeichnis, 0 zum Deaktivieren",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Speichere alle N Schritte eine Embeddingkopie im Protokollverzeichnis, 0 zum Deaktivieren",
+    "Save images with embedding in PNG chunks": "Speichere Bilder mit Embeddings in PNG Chunks",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Lese Parameter (Prompt, etc...) aus dem txt2img-Tab beim Erstellen von Vorschaubildern.",
     "Train Hypernetwork": "Hypernetwork Trainieren",
     "Train Embedding": "Embedding Trainieren",
-    "Apply settings": "Einstellungen anwenden",
+    "Apply settings": "Eintellungen anwenden",
     "Saving images/grids": "Bilder/Raster speichern",
-    "Always save all generated images": "Grundsätzlich alle generieren Bilder speichern",
+    "Always save all generated images": "Immer alle generierten Bilder speichern",
     "File format for images": "Dateiformat für Bilder",
-    "Images filename pattern": "Dateinamen vorlage für Bilder",
-    "Add number to filename when saving": "Beim speichern, dem Dateinamen die Nummer anhängen",
-    "Always save all generated image grids": "Grundsätzlich alle generieren Raster speichern",
+    "Images filename pattern": "Dateinamensmuster für Bilder",
+    "Add number to filename when saving": "Beim speichern, dem Dateinamen Nummer anhängen",
+    "Always save all generated image grids": "Immer alle generierten Bildraster speichern",
     "File format for grids": "Dateiformat für Raster",
-    "Add extended info (seed, prompt) to filename when saving grid": "Speichern von Raster, erweiterte infos (seed, prompt) dem Dateinamen anhängen",
-    "Do not save grids consisting of one picture": "Raster, die nur aus einem Bild bestehen, nicht speichern",
-    "Prevent empty spots in grid (when set to autodetect)": "Lücken im Raster verhindern (falls aus autodetect gesetzt)",
-    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Raster reihen anzahl; -1 für Autodetect und 0 für die anzahl wie batch size",
-    "Save text information about generation parameters as chunks to png files": "Information zu Generierungsparameter als Fragmente in PNG dateien speichern",
-    "Create a text file next to every image with generation parameters.": "Textdatei mit Generierungsparameter seperat zu Bilddatei speichern",
-    "Save a copy of image before doing face restoration.": "Kope des Bildes vor und nach Gesichtswiederhestellung speichern",
-    "Quality for saved jpeg images": "Qualität der als JPEG gespeicherten Bilder",
-    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Wenn PNG Bild größer als 4MB oder Dimensionen Größer als 4000, herunterskalieren und als JPG speichern.",
-    "Use original name for output filename during batch process in extras tab": "Originaler name als Output Dateinamen benutzen während Massenverarbeitung in Extras tab.",
-    "When using 'Save' button, only save a single selected image": "Beim benutzen von 'Speichern', nur das gewählte Bild speichern.",
+    "Add extended info (seed, prompt) to filename when saving grid": "Beim Speichern von Rastern zusätzliche Information (Seed, Prompt) hinzufügen",
+    "Do not save grids consisting of one picture": "Keine Raster speichern, die nur aus einem Bild bestehen",
+    "Prevent empty spots in grid (when set to autodetect)": "Lücken im Raster verhindern (falls auf Auto-Erkennung gesetzt)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Rasterreihenanzahl; -1 für Auto-Erkennung und 0 für die gleiche wie die Batchanzahl",
+    "Save text information about generation parameters as chunks to png files": "Generationsparameter als Chunks in PNG-Dateien speichern",
+    "Create a text file next to every image with generation parameters.": "Erstelle zu jedem Bild eine Textdatei, die die Generationsparameter enthält",
+    "Save a copy of image before doing face restoration.": "Vor der Gesichtswiederhestellung eine Kopie des Bildes speichern",
+    "Quality for saved jpeg images": "Qualität der JPEG-Bilder",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Wenn ein PNG-Bild größer als 4MB oder die Dimensionen größer als 4000 ist, herunterskalieren und als JPG speichern.",
+    "Use original name for output filename during batch process in extras tab": "Orginale Dateinamen als Ausgabenamen bei der Batchverarbeitung im Extras-Tab verwenden",
+    "When using 'Save' button, only save a single selected image": "Bei der Benutzung des 'Speichern'-Knopfes, nur das ausgewählte Bild speichern",
     "Do not add watermark to images": "Den Bildern kein Wasserzeichen hinzufügen",
-    "Paths for saving": "Pfade zum speichern",
-    "Output directory for images; if empty, defaults to three directories below": "Ausgabeverzeichnis für Bilder: wenn leer fällt zurück auf drei Verzeichnisse unterhalb",
-    "Output directory for txt2img images": "Ausgabeverzeichnis für txt2img",
-    "Output directory for img2img images": "Ausgabeverzeichnis für img2img",
-    "Output directory for images from extras tab": "Ausgabeverzeichnis für extras",
-    "Output directory for grids; if empty, defaults to two directories below": "Ausgabeverzeichnis für Raster; wenn leer fällt zurück auf zwei Verzeichnisse unterhalb.",
-    "Output directory for txt2img grids": "Ausgabeverzeichnis für  txt2img Raster",
+    "Paths for saving": "Pfade zum Speichern",
+    "Output directory for images; if empty, defaults to three directories below": "Ausgabeverzeichnis für Bilder; Falls leer, werden die Pfade unterhalb verwendet",
+    "Output directory for txt2img images": "Ausgabeverzeichnis für txt2img Bilder",
+    "Output directory for img2img images": "Ausgabeverzeichnis für img2img Bilder",
+    "Output directory for images from extras tab": "Ausgabeverzeichnis für Extras-Tab Bilder",
+    "Output directory for grids; if empty, defaults to two directories below": "Ausgabeverzeichnis für Raster; Falls leer, werden die Pfade unterhalb verwendet",
+    "Output directory for txt2img grids": "Ausgabeverzeichnis für txt2img Raster",
     "Output directory for img2img grids": "Ausgabeverzeichnis für img2img Raster",
-    "Directory for saving images using the Save button": "Ausgabeverzeichnis Bilder für 'Speichern' Button",
+    "Directory for saving images using the Save button": "Ausgabeverzeichnis für Bilder, die mit dem 'Speichern'-Knopf gespeichert wurden",
     "Saving to a directory": "Speichern in ein Verzeichnis",
     "Save images to a subdirectory": "Bilder in ein Unterverzeichnis speichern",
     "Save grids to a subdirectory": "Raster in ein Unterverzeichnis speichern",
-    "When using \"Save\" button, save images to a subdirectory": "Beim benutzen von 'Save' Button, Bilder in Unterverzeichnis speichern",
-    "Directory name pattern": "Verzeichnisname pattern",
-    "Max prompt words for [prompt_words] pattern": "Maximale anzahl der Wörter für [prompt_words] pattern",
-    "Upscaling": "Hochskalieren",
-    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Kachelgröße für ESRGAN upscalers. 0 = keine Kacheln.",
-    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Kacheln überlappungen, größe in pixel für ESRGAN upscalers. Niedrige Zahl = Sichtbare übergänge.",
+    "When using \"Save\" button, save images to a subdirectory": "Bilder bei der Benutzung des 'Speichern'-Knopfes in ein Unterverzeichnis speichern",
+    "Directory name pattern": "Muster für Verzeichnisnamen",
+    "Max prompt words for [prompt_words] pattern": "Maximale Wortanzahl für [prompt_words] Muster",
+    "Upscaling": "Upscaling",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Kachelgröße für ESRGAN-Upscaler. 0 = keine Kacheln.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Kachelüberlappung in Pixeln für ESRGAN-Upscaler. Niedrige Werte = sichtbare Naht.",
     "Tile size for all SwinIR.": "Kachelgröße für alle SwinIR.",
-    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Kacheln überlappungen, größe in pixel für SwinIR. Niedrige Zahl = Sichtbare übergänge.",
-    "LDSR processing steps. Lower = faster": "LDSR verarbeitungsschritte. niedriger = schneller",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Kachelüberlappung in Pixeln für SwinIR. Niedrige Werte = sichtbare Naht.",
+    "LDSR processing steps. Lower = faster": "LDSR-Verarbeitungsschritte. Niedriger = schneller",
     "Upscaler for img2img": "Upscaler für img2img",
-    "Upscale latent space image when doing hires. fix": "Upscale latent space beim ausführen von hires. fix",
+    "Upscale latent space image when doing hires. fix": "Bild des Latent Space upscalen, wenn Highres. Fix benutzt wird",
     "Face restoration": "Gesichtswiederhestellung",
-    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer gewicht parameter; 0 = maximaler effekt; 1 = minimalster effekt",
-    "Move face restoration model from VRAM into RAM after processing": "Gesichtswiederhestellungs-Modell nach Verarbeitung vom VRAM ins RAM verschieben",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer Gewichtung (0 = maximale Wirkung, 1 = minimale Wirkung)",
+    "Move face restoration model from VRAM into RAM after processing": "Verschiebe Gesichtswiederhestellung-Modell nach der Verarbeitung vom VRAM in den RAM",
     "System": "System",
-    "VRAM usage polls per second during generation. Set to 0 to disable.": "Abfragen pro Sekunde zur VRAM auslastung. 0 = deaktiviert",
-    "Always print all generation info to standard output": "Grundsätzlich alle Generierungsparameter im standard output ausgeben",
-    "Add a second progress bar to the console that shows progress for an entire job.": "Zweite Fortschrittsleiste in der Konsole hinzufügen, die den Fortschitt für den ganzen Job anzeigt.",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "VRAM-Nutzungsabfragen pro Sekunde während der Generierung. Zum Deaktivieren auf 0 setzen.",
+    "Always print all generation info to standard output": "Immer alle Generationsinformationen in der Standardausgabe ausgeben",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Der Konsole einen zweiten Fortschrittsbalken hinzufügen, der den Fortschritt eines gesamten Auftrags anzeigt.",
     "Training": "Training",
-    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "VAE und CLIP während Hypernetwork-Training in RAM verschieben. Spart VRAM.",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "VAE und CLIP während des Hypernetwork-Trainings in den RAM verschieben. Spart VRAM.",
     "Filename word regex": "Filename word regex",
     "Filename join string": "Filename join string",
-    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Anzahl der wiederholungen für ein einziges Input-Bild pro epoche; nur dazu genutzt um epochen nummer anzuzeigen",
-    "Save an csv containing the loss to log directory every N steps, 0 to disable": "CSV die den 'loss' alle N steps beinhaltet. 0 = deaktiviert",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Anzahl der Wiederholungen für ein einzelnes Eingabebild pro Epoche; wird nur für die Anzeige der Epochennummer verwendet",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Speichere eine csv-Datei, die den Verlust enthält, im Protokollverzeichnis alle N Schritte, 0 zum Deaktivieren",
     "Stable Diffusion": "Stable Diffusion",
-    "Checkpoints to cache in RAM": "Anz. Checkpoints im RAM zu Cachen",
-    "Hypernetwork strength": "Hypernetwork stärke",
-    "Apply color correction to img2img results to match original colors.": "Farbkorrigierungen auf img2img anwenden um den Original zu gleichen.",
-    "Save a copy of image before applying color correction to img2img results": "Eine Kopie vom Bild vor der anwendung der img2img Farbkorrigierungen speichern.",
-    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Mit img2img, führe die exakte anzahl an steps aus, die im Slider angegeben sind. (Im Normalfall würdest du mit Denoising weniger nehmen)",
-    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "ermöglicht die Quantisierung in K-Samplern für schärfere und sauberere Ergebnisse. Dadurch können sich existierende Seeds verändern. Für die Anwendung ist ein Neustart erforderlich.",
-    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Hervorhebung: Ermöglicht (text) damit das Modell dem Text (mehr) oder [weniger] gewichtung gibt.",
-    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Verwendet die alte Implementierung von Hervorhebungen. Kann für das benutzen von älteren Seeds nützlich sein.",
-    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Sorgt dafür, dass K-Diffusions-Sampler in einem Batch die gleichen Bilder erzeugen wie bei der Erstellung eines einzelnen Bildes.",
-    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Erhöhung der Kohärenz durch Auffüllen ab dem letzten Komma innerhalb von N Token, wenn mehr als 75 Token verwendet werden",
-    "Filter NSFW content": "Filter NSFW inhalte",
-    "Stop At last layers of CLIP model": "Stop bei den letzten Schichten des CLIP-Modells",
-    "Interrogate Options": "Optionen abfragen",
-    "Interrogate: keep models in VRAM": "Abfragen: Modelle im VRAM behalten",
-    "Interrogate: use artists from artists.csv": "Abfragen: Künstler aus artists.csv verwenden",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Abfragen: Rangfolge der Modell-Tags in den Ergebnissen berücksichtigen (hat keine Auswirkung auf beschriftungsbasierte Abfragesysteme).",
-    "Interrogate: num_beams for BLIP": "Abfragen: num_beams für BLIP",
-    "Interrogate: minimum description length (excluding artists, etc..)": "Abfrage: Mindestlänge der Beschreibung (ohne Künstler usw.)",
-    "Interrogate: maximum description length": "Abfragen: maximale Länge der Beschreibung",
-    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximale Anzahl von Zeilen in der Textdatei (0 = keine Begrenzung)",
-    "Interrogate: deepbooru score threshold": "Abfrage: deepbooru schwelle",
-    "Interrogate: deepbooru sort alphabetically": "Abfrage: deepbooru alphabetisch sortieren",
-    "use spaces for tags in deepbooru": "Leerzeichen für Tags in deepbooru verwenden",
-    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "Escape-Klammern (\\) in deepbooru (damit sie als wörtliche Klammern und nicht zur Hervorhebung verwendet werden)",
-    "User interface": "Benutzerinterface",
-    "Show progressbar": "Fortschrittsleiste Anzeigen",
-    "Show image creation progress every N sampling steps. Set 0 to disable.": "Zeigt den Fortschritt der Bilderstellung alle N Schritte an. 0 setzen, um zu deaktivieren.",
-    "Show previews of all images generated in a batch as a grid": "Vorschaubilder aller in einem Batch erzeugten Bilder als Raster anzeigen",
-    "Show grid in results for web": "Raster in den Ergebnissen für Web anzeigen",
-    "Do not show any images in results for web": "Keine Bilder in den Ergebnissen für das Web anzeigen",
-    "Add model hash to generation information": "Modell-Hash zu Generierungsinformationen hinzufügen",
-    "Add model name to generation information": "Modell-Name zu Generierungsinformationen hinzufügen",
-    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Beim Einlesen von Generierungsparametern aus Text in die Benutzeroberfläche (aus PNG-Informationen oder eingefügtem Text) wird das ausgewählte Modell/der ausgewählte Checkpoint nicht geändert.",
-    "Font for image grids that have text": "Schriftart für Bildraster, die Text enthalten",
-    "Enable full page image viewer": "Ganzseitenbildbetrachter einschalten",
-    "Show images zoomed in by default in full page image viewer": "Bilder standardmäßig vergrößert im Ganzseitenbildbetrachter anzeigen",
-    "Show generation progress in window title.": "Generierungsfortschritt im Fenstertitel anzeigen.",
-    "Quicksettings list": "Quicksettings-Liste",
-    "Localization (requires restart)": "Lokalisierung (erfordert Neustart)",
-    "Sampler parameters": "Sampler parameter",
-    "Hide samplers in user interface (requires restart)": "Ausblenden von Samplern in der Benutzeroberfläche (erfordert einen Neustart)",
-    "eta (noise multiplier) for DDIM": "eta (noise multiplier) für DDIM",
-    "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) für ancestral samplers",
-    "img2img DDIM discretize": "img2img DDIM discretize",
+    "Checkpoints to cache in RAM": "Checkpoints zum Zwischenspeichern im RAM",
+    "Hypernetwork strength": "Hypernetworkstärke",
+    "Inpainting conditioning mask strength": "Inpainting Stärke der Konditionierungsmaske",
+    "Apply color correction to img2img results to match original colors.": "Farbkorrektur auf die img2img-Ergebnisse anwenden, damit sie den Originalfarben entsprechen.",
+    "Save a copy of image before applying color correction to img2img results": "Vor dem Anwenden der Farbkorrektur eine Kopie des Bildes speichern",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Mit img2img, die exakte Anzahl der Schritte ausführen, die vom Schieberegler angegeben sind (normalerweise weniger bei weniger Denoising).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Aktivieren der Quantisierung in K-Samplern für schärfere und sauberere Ergebnisse. Dies kann bestehende Seeds verändern. Erfordert Neustart.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Hervorhebung: Verwenden Sie (Text), damit das Modell dem Text mehr Aufmerksamkeit schenkt, und [Text], damit es ihm weniger Aufmerksamkeit schenkt",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Verwenden der alten Implementierung von Hervorhebungen. Kann nützlich sein, um alte Seeds zu reproduzieren.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-Diffusions-Sampler erzeugen in einem Batch die gleichen Bilder, wie bei der Erstellung eines einzelnen Bildes",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Erhöhung der Kohärenz durch Auffüllen ab dem letzten Komma innerhalb von n Token, wenn mehr als 75 Token verwendet werden",
+    "Filter NSFW content": "NSFW-Inhalte filtern",
+    "Stop At last layers of CLIP model": "Stoppe bei den letzten Schichten des CLIP-Modells",
+    "Interrogate Options": "Interrogate Optionen",
+    "Interrogate: keep models in VRAM": "Interrogate: Modelle im VRAM behalten",
+    "Interrogate: use artists from artists.csv": "Interrogate: Künstler aus 'artists.csv' nutzen",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: Die Rangfolge von Modell-Tags in den Ergebnissen einschließen (hat keine Auswirkung auf beschriftungsbasierte Interrogator).",
+    "Interrogate: num_beams for BLIP": "Interrogate: num_beams für BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minimale Beschreibungslänge (Künstler, etc.. ausgenommen)",
+    "Interrogate: maximum description length": "Interrogate: maximale Beschreibungslänge",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: maximale Anzahl an Zeilen in Textdatei (0 = Kein Limit)",
+    "Interrogate: deepbooru score threshold": "Interrogate: Deepbooru minimale Punkteanzahl",
+    "Interrogate: deepbooru sort alphabetically": "Interrogate: Sortiere Deepbooru alphabetisch",
+    "use spaces for tags in deepbooru": "Benutze Leerzeichen für Deepbooru-Tags",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "Escape-Klammern (\\) in Deepbooru (damit sie als normale Klammern und nicht zur Hervorhebung verwendet werden)",
+    "User interface": "Benutzeroberfläche",
+    "Show progressbar": "Fortschrittsleiste anzeigen",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Zeige eine Bildvorschau alle N Samplingschritte. Zum Deaktivieren auf 0 setzen.",
+    "Show previews of all images generated in a batch as a grid": "Zeige eine Vorschau aller erzeugten Bilder in einem Batch als Raster",
+    "Show grid in results for web": "Zeige Raster in der Web-UI Vorschau",
+    "Do not show any images in results for web": "Keine Bilder in der Web-UI Vorschau zeigen",
+    "Add model hash to generation information": "Hash des Modells zu den Generationsinformationen hinzufügen",
+    "Add model name to generation information": "Name des Modells zu den Generationsinformationen hinzufügen",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Beim Einlesen von Generierungsparametern aus Text in die Benutzeroberfläche (aus PNG-Info oder eingefügtem Text) wird das ausgewählte Modell/Checkpoint nicht geändert.",
+    "Send seed when sending prompt or image to other interface": "Den Seed, beim Senden des Bildes/Prompt zu einem anderen Tab, mitsenden",
+    "Font for image grids that have text": "Schriftart für Bildraster mit Text",
+    "Enable full page image viewer": "Ganzseitenbildbetrachter aktivieren",
+    "Show images zoomed in by default in full page image viewer": "Standardmäßig Bilder im Ganzseitenbildbetrachter vergrößert anzeigen",
+    "Show generation progress in window title.": "Generationsfortschritt im Fenstertitel anzeigen.",
+    "Quicksettings list": "Schnellzugriffsleiste",
+    "Localization (requires restart)": "Lokalisierung (Erfordert Neustart)",
+    "Sampler parameters": "Samplerparameter",
+    "Hide samplers in user interface (requires restart)": "Sampler in der Benutzeroberfläche verstecken (Erfordert Neustart)",
+    "eta (noise multiplier) for DDIM": "Eta (noise Multiplikator) für DDIM",
+    "eta (noise multiplier) for ancestral samplers": "Eta (noise Multiplikator) für Ancestral Sampler",
+    "img2img DDIM discretize": "img2img DDIM diskretisieren",
     "uniform": "uniform",
     "quad": "quad",
     "sigma churn": "sigma churn",
     "sigma tmin": "sigma tmin",
     "sigma noise": "sigma noise",
     "Eta noise seed delta": "Eta noise seed delta",
-    "Request browser notifications": "Browser-Benachrichtigungen anfordern",
+    "Request browser notifications": "Browserbenachrichtigungen anfordern",
     "Download localization template": "Vorlage für Lokalisierung herunterladen",
-    "Reload custom script bodies (No ui updates, No restart)": "Neu laden von benutzerdefinierten Skripten (keine Aktualisierung der Benutzeroberfläche, kein Neustart)",
+    "Reload custom script bodies (No ui updates, No restart)": "Benutzerdefinierte Skripte neu laden (keine Aktualisierung der Benutzeroberfläche, kein Neustart)",
     "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Gradio neu starten und Komponenten aktualisieren (nur Custom Scripts, ui.py, js und css)",
     "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (zum Erzeugen Strg+Eingabe oder Alt+Eingabe drücken)",
-    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (presiona Ctrl+Enter o Alt+Enter para generar)",
-    "Add a random artist to the prompt.": "Zufälligen Künstler den Prompt hinzufügen.",
-    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Import von Generierungsparameter aus dem Prompt oder aus der letzten Generierung, wenn das Prompt in der Benutzeroberfläche leer ist.",
-    "Save style": "Style speichern",
-    "Apply selected styles to current prompt": "Momentan ausgewählte styles auf den Prompt anwenden",
-    "Stop processing current image and continue processing.": "Verarbeitung des momentanen Bildes abbrechen und zum nächsten fortsetzen.",
-    "Stop processing images and return any results accumulated so far.": "Verarbeitung abbrechen und alle bisherigen Bilder ausgeben.",
-    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Style, der angwendet werden soll. Styles haben sowohl negative als auch positive prompt anteile, die auf beide angewendet werden.",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Negative Prompt (zum Erzeugen Strg+Eingabe oder Alt+Eingabe drücken)",
+    "Add a random artist to the prompt.": "Zufälligen Künstler der Prompt hinzufügen.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Lesen der Generationsparameter aus der Prompt oder der letzten Generation (wenn Prompt leer ist) in die Benutzeroberfläche.",
+    "Save style": "Stil speichern",
+    "Apply selected styles to current prompt": "Momentan ausgewählte Stile auf die Prompt anwenden",
+    "Stop processing current image and continue processing.": "Verarbeitung des momentanen Bildes abbrechen und Verarbeitung fortsetzen.",
+    "Stop processing images and return any results accumulated so far.": "Verarbeitung abbrechen und alle bisherigen Ergebnisse ausgeben.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Stil, der angwendet werden soll. Stile haben sowohl positive als auch negative Promptanteile und werden auf beide angewandt.",
     "Do not do anything special": "Nichts besonderes machen",
-    "Which algorithm to use to produce the image": "Der zu benutzende algorithmus für die Bildgeneration",
-    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - sehr kreativ, jeder kann unterschiedliche Bilder, abhängig von der Step/Schritt anzahl bekommen. Werte höher als 30-40 helfen nicht.",
-    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - am besten für img2img inpainting",
+    "Which algorithm to use to produce the image": "Der zu benutzende Algorithmus für die Bildgeneration",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - sehr kreativ, kann sehr unterschiedliche Bilder in Abhängigkeit von der Schrittanzahl bekommen. Werte höher als 30-40 helfen nicht.",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Modelle - am besten für inpainting",
     "Produce an image that can be tiled.": "Bild erzeugen, dass gekachelt werden kann.",
-    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Verwendung eines zweistufigen Prozess, um ein Bild teilweise mit geringerer Auflösung zu erstellen, hochzuskalieren und dann die Details zu verbessern, ohne die zusammensetzung zu verändern.",
-    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Bestimmt, wie wenig Bezug der Algorithmus zu dem Inhalt des Bildes haben soll. Bei 0 ändert sich nichts, und bei 1 erhalten Sie ein Bild ohne Bezug. Bei Werten unter 1,0 erfolgt die Verarbeitung in weniger Schritten, als der Schieberegler Sampling-Schritte angibt.",
-    "How many batches of images to create": "Wie viele Stapel von Bildern erstellt werden sollen",
-    "How many image to create in a single batch": "Wie viele Bilder in einem einzigen Stapel erstellt werden sollen",
-    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - wie stark das Bild der Aufforderung entsprechen soll - niedrigere Werte führen zu kreativeren Ergebnissen",
-    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Ein Wert, der die Ausgabe des Zufallszahlengenerators bestimmt: Wenn Sie ein Bild mit denselben Parametern und demselben Seed wie ein anderes Bild erstellen, erhalten Sie dasselbe Ergebnis.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Verwendung eines zweistufigen Prozesses, um ein Bild mit geringerer Auflösung zu erstellen, hochzuskalieren und dann die Details zu verbessern, ohne die Komposition zu verändern.",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Bestimmt, wie wenig Bezug der Algorithmus zu dem Inhalt des Bildes haben soll. Bei 0 ändert sich nichts, und bei 1 besitzt das Bild keinen Bezug. Bei Werten unter 1,0 erfolgt die Verarbeitung in weniger Schritten, als der Schieberegler angibt.",
+    "How many batches of images to create": "Wie viele Sätze von Bildern erstellt werden sollen",
+    "How many image to create in a single batch": "Wie viele Bilder in einem Batch erstellt werden sollen",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - wie stark das Bild der Prompt entsprechen soll - niedrigere Werte führen zu kreativeren Ergebnissen",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Ein Wert, der die Ausgabe des Zufallszahlengenerators bestimmt: Wenn ein Bild mit denselben Parametern und demselben Seed wie ein anderes Bild erstellt wird, erhält man dasselbe Ergebnis.",
     "Set seed to -1, which will cause a new random number to be used every time": "Seed auf -1 setzen, so dass jedes Mal eine neue Zufallszahl verwendet wird",
-    "Reuse seed from last generation, mostly useful if it was randomed": "Wiederverwendung des Seed der letzten Generation, meist nützlich, wenn es zufällig gewählt wurde",
-    "Seed of a different picture to be mixed into the generation.": "Seed eines anderen Bildes, das bei der Erzeugung reingemischt wird.",
-    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Wie stark die Veränderung sein soll. Bei 0 gibt es keinen Effekt. Bei 1 erhalten Sie das vollständige Bild mit variations Seed (außer bei ancestral samplers,wie Euler A, wo Sie nur etwas erhalten).",
-    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Versuchen ein Bild zu erzeugen, das dem ähnelt, das mit demselben Seed bei der angegebenen Auflösung erzeugt worden wäre.",
-    "Separate values for X axis using commas.": "Trennen Sie die Werte für die X-Achse durch Kommas.",
-    "Separate values for Y axis using commas.": "Trennen Sie die Werte für die Y-Achse durch Kommas.",
-    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Bild in ein Verzeichnis schreiben (Standard - log/images) und Generierungsparameter in eine csv-Datei.",
-    "Open images output directory": "Bildverzeichnis öffnen",
-    "How much to blur the mask before processing, in pixels.": "Wie stark die Maske vor der Verarbeitung verwischt werden soll, in Pixeln.",
-    "What to put inside the masked area before processing it with Stable Diffusion.": "Was soll in den maskierten Bereich vor der Verarbeitung mit Stable Diffusion.",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Wiederverwendung des Seeds der letzten Generation, meist nützlich, wenn er zufällig gewählt wurde",
+    "Seed of a different picture to be mixed into the generation.": "Seed eines anderen Bildes, der bei der Erzeugung reingemischt wird.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Wie stark die Veränderung sein soll. Bei 0 gibt es keinen Effekt. Bei 1 erhält man das vollständige Bild mit dem Variationsseed (außer bei Ancestral Samplern, wie Euler A, wo man nur etwas erhält).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Versuche ein Bild zu erzeugen, das dem ähnelt, das mit dem Seed bei der angegebenen Auflösung erzeugt worden wäre.",
+    "Separate values for X axis using commas.": "Trenne die Werte für die X-Achse durch Kommas.",
+    "Separate values for Y axis using commas.": "Trenne die Werte für die Y-Achse durch Kommas.",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Bild in ein Verzeichnis (Standard - log/images) und Generationsparameter in eine csv-Datei schreiben.",
+    "Open images output directory": "Ausgabeverzeichnis öffnen",
+    "How much to blur the mask before processing, in pixels.": "Wie stark die Maske vor der Verarbeitung weichgezeichnet werden soll, in Pixeln.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Was in den maskierten Bereich vor der Verarbeitung mit Stable Diffusion soll.",
     "fill it with colors of the image": "Füllen mit den Farben des Bildes",
     "keep whatever was there originally": "Originalen Inhalt behalten",
     "fill it with latent space noise": "Füllen mit latent space noise",
-    "fill it with latent space zeroes": "Füllen mit latent space zeroes",
+    "fill it with latent space zeroes": "Füllen mit latent space Nullen",
     "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Hochskalieren des maskierten Bereichs auf die Zielauflösung, Inpainting, Zurückskalieren und Einfügen in das Originalbild.",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Die Größe des Bildes auf die gewünschte Auflösung ändern. Wenn Höhe und Breite nicht übereinstimmen, erhalten Sie ein falsches Seitenverhältnis.",
-    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Die Größe des Bildes so ändern, dass die gesamte Zielauflösung mit dem Bild ausgefüllt wird. Herausragende Teile zuschneiden.",
-    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Die Größe des Bildes so ändern, dass die gesamte Zielauflösung mit dem Bild ausgefüllt wird. Herausragende Teile mit Farben des Bildes ausfüllen.",
-    "How many times to repeat processing an image and using it as input for the next iteration": "Wie oft soll die Verarbeitung eines Bildes wiederholt werden, um es als Eingabe für die nächste Iteration zu verwenden",
-    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Im Loopback-Modus wird die Stärke der Rauschunterdrückung in jeder Schleife mit diesem Wert multipliziert. <1 bedeutet abnehmende Vielfalt, so dass Ihre Sequenz zu einem festen Bild konvergiert. >1 bedeutet zunehmende Vielfalt, so dass die Sequenz immer chaotischer wird..",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Wie viel Pixel sollten sich beim SD-Upscale zwischen den Kacheln überlappen? Die Kacheln überlappen sich so, dass beim Zusammenfügen zu einem Bild keine deutlich sichtbare Naht entsteht..",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Die Größe des Bildes auf die gewünschte Auflösung ändern. Wenn Höhe und Breite nicht übereinstimmen, erhält man ein falsches Seitenverhältnis.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Die Größe des Bildes so ändern, dass die gesamte Zielauflösung mit dem Bild ausgefüllt wird. Herausragende Teile werden abgeschnitten.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Die Größe des Bildes so ändern, dass das gesamte Bild enthalten ist. Lücken werden mit Farben des Bildes ausgefüllt.",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Wie oft die Verarbeitung eines Bildes wiederholt und als Eingabe für die nächste Iteration verwendet werden soll",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "Im Loopback-Modus wird die Denoisingstärke in jeder Schleife mit diesem Wert multipliziert. <1 bedeutet abnehmende Vielfalt, so dass die Sequenz zu einem festen Bild konvergiert. >1 bedeutet zunehmende Vielfalt, so dass die Sequenz immer chaotischer wird.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Wie viel Pixel sich beim SD-Upscale zwischen den Kacheln überlappen. Die Kacheln überlappen sich so, dass beim Zusammenfügen zu einem Bild keine deutlich sichtbare Naht entsteht.",
     "A directory on the same machine where the server is running.": "Ein Verzeichnis auf demselben Rechner, auf dem der Server läuft.",
     "Leave blank to save images to the default path.": "Leer lassen, um Bilder im Standardpfad zu speichern.",
     "Result = A * (1 - M) + B * M": "Ergebnis = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "Ergebnis = A + (B - C) * M",
-    "1st and last digit must be 1. ex:'1, 2, 1'": "Erste und letzte Ziffer muss 1 sein. Bspw:'1, 2, 1'",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "Erste und letzte Ziffer müssen 1 sein. Bspl:'1, 2, 1'",
     "Path to directory with input images": "Pfad zum Verzeichnis mit den Eingabebildern",
-    "Path to directory where to write outputs": "Pfad zum Verzeichnis, in das die Ausgaben geschrieben werden sollen",
-    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Verwenden Sie die folgenden Tags, um festzulegen, wie die Dateinamen für Bilder ausgewählt werden: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leer lassen, um Standardwerte zu verwenden.",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Wenn diese Option aktiviert ist, wird den erstellten Bildern kein unsichtbares Wasserzeichen hinzugefügt. Achtung: Wenn Sie kein Wasserzeichen hinzufügen, verhalten Sie sich möglicherweise unethisch gegenüber sensiblen Personen.",
+    "Path to directory where to write outputs": "Pfad zum Verzeichnis, wo die Ausgaben gespeichert werden",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Verwende die folgenden Tags, um festzulegen, wie die Dateinamen für Bilder ausgewählt werden: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leer lassen, um Standardwerte zu verwenden.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Wenn diese Option aktiviert ist, wird den erstellten Bildern kein Wasserzeichen hinzugefügt. Achtung: Wenn Sie kein Wasserzeichen hinzufügen, verhalten Sie sich möglicherweise unethisch.",
     "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Verwenden Sie die folgenden Tags, um festzulegen, wie Unterverzeichnisse für Bilder und Raster ausgewählt werden: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leer lassen, um Standardwerte zu verwenden.",
-    "Restore low quality faces using GFPGAN neural network": "Wiederherstellung von Gesichtern schlechter Qualität mit GFPGAN neural network",
+    "Restore low quality faces using GFPGAN neural network": "Wiederherstellung von Gesichtern schlechter Qualität mit dem neuralen Netzwerk GFPGAN",
     "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Dieser reguläre Ausdruck wird verwendet, um Wörter aus dem Dateinamen zu extrahieren, die dann mit der unten stehenden Option zu einem Beschriftungstext für das Training zusammengefügt werden. Leer lassen, um den Text des Dateinamens so zu belassen, wie er ist.",
     "This string will be used to join split words into a single line if the option above is enabled.": "Diese Zeichenfolge wird verwendet, um getrennte Wörter in einer einzigen Zeile zu verbinden, wenn die obige Option aktiviert ist.",
-    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Liste von Einstellungsnamen, getrennt durch Kommata, für Einstellungen, die in der Schnellzugriffsleiste oben erscheinen sollen, anstatt auf dem üblichen Einstellungs-Tab. Siehe modules/shared.py für Einstellungsnamen. Erfordert einen Neustart zur Anwendung.",
-    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Wenn dieser Wert ungleich Null ist, wird er zum Seed addiert und zur Initialisierung des RNG für Rauschen bei der Verwendung von Samplern mit Eta verwendet. Sie können dies verwenden, um noch mehr Variationen von Bildern zu erzeugen, oder Sie können dies verwenden, um Bilder von anderer Software abzugleichen, wenn Sie wissen, was Sie tun."
-}
+    "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "Gilt nur für Inpainting-Modelle. Legt fest, wie stark das Originalbild für Inpainting und img2img maskiert werden soll. 1.0 bedeutet vollständig maskiert, was das Standardverhalten ist. 0.0 bedeutet eine vollständig unmaskierte Konditionierung. Niedrigere Werte tragen dazu bei, die Gesamtkomposition des Bildes zu erhalten, sind aber bei großen Änderungen problematisch.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Liste von Einstellungsnamen, getrennt durch Kommas, für Einstellungen, die in der Schnellzugriffsleiste oben erscheinen sollen, anstatt in dem üblichen Einstellungs-Tab. Siehe modules/shared.py für Einstellungsnamen. Erfordert einen Neustart zur Anwendung.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Wenn dieser Wert ungleich Null ist, wird er zum Seed addiert und zur Initialisierung des RNG für Noise bei der Verwendung von Samplern mit Eta verwendet. Dies kann verwendet werden, um noch mehr Variationen von Bildern zu erzeugen, oder um Bilder von anderer Software zu erzeugen, wenn Sie wissen, was Sie tun."
+}
\ No newline at end of file

From 66d038f6a41507af2243ff1f6618a745a092c290 Mon Sep 17 00:00:00 2001
From: timntorres <timothynarcisotorres@gmail.com>
Date: Sat, 29 Oct 2022 15:00:08 -0700
Subject: [PATCH 304/321] Read hypernet strength from PNG info.

---
 modules/generation_parameters_copypaste.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index bbaad42e..59c6d7da 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -66,6 +66,7 @@ def integrate_settings_paste_fields(component_dict):
 
     settings_map = {
         'sd_hypernetwork': 'Hypernet',
+        'sd_hypernetwork_strength': 'Hypernetwork strength',
         'CLIP_stop_at_last_layers': 'Clip skip',
         'sd_model_checkpoint': 'Model hash',
     }

From 9f4f894d74b57c3d02ebccaa59f9c22fca2b6c90 Mon Sep 17 00:00:00 2001
From: evshiron <evshiron@gmail.com>
Date: Sun, 30 Oct 2022 06:03:32 +0800
Subject: [PATCH 305/321] allow skip current image in progress api

---
 modules/api/api.py    | 4 ++--
 modules/api/models.py | 3 +++
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index e960bb7b..5c5b210f 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -167,7 +167,7 @@ class Api:
 
         return PNGInfoResponse(info=result[1])
 
-    def progressapi(self):
+    def progressapi(self, req: ProgressRequest = Depends()):
         # copy from check_progress_call of ui.py
 
         if shared.state.job_count == 0:
@@ -188,7 +188,7 @@ class Api:
         progress = min(progress, 1)
 
         current_image = None
-        if shared.state.current_image:
+        if shared.state.current_image and not req.skip_current_image:
             current_image = encode_pil_to_base64(shared.state.current_image)
 
         return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict(), current_image=current_image)
diff --git a/modules/api/models.py b/modules/api/models.py
index c8bc719a..9ee42a17 100644
--- a/modules/api/models.py
+++ b/modules/api/models.py
@@ -157,6 +157,9 @@ class PNGInfoRequest(BaseModel):
 class PNGInfoResponse(BaseModel):
     info: str = Field(title="Image info", description="A string with all the info the image had")
 
+class ProgressRequest(BaseModel):
+    skip_current_image: bool = Field(default=False, title="Skip current image", description="Skip current image serialization")
+
 class ProgressResponse(BaseModel):
     progress: float = Field(title="Progress", description="The progress with a range of 0 to 1")
     eta_relative: float = Field(title="ETA in secs")

From 35e95f574a5954e9cbe95265cbcf1386715c9e87 Mon Sep 17 00:00:00 2001
From: Riccardo Giovanetti <29801031+Harvester62@users.noreply.github.com>
Date: Sun, 30 Oct 2022 00:13:13 +0200
Subject: [PATCH 306/321] Italian localization (extended) [Requires Feedback]

This is my first version of an alternative localization into Italian language which is a follow-up of the current localization file made by @EugenioBuffo (#3725), which I thanks, and of my discussion "Italian localization (git newbie)" (#3633) which covers the main user interface, all the current the Extensions and Scripts, with the following exceptions:

    txt2img2img (I got errors therefore I removed it from my local installation of SD Web UI)
    Parameter Sequencer (not installed locally)
    Booru tag autocompletion (not installed locally)
    Saving steps of the sampling process (not installed locally)

I do not forecast to translate the above scripts in the short period, unless I will install them locally on my machine.

I beg your pardon if I am brutally overwriting the originally submitted file but I find quite exhausting to edit and append over a thousand lines of code to the original file. If this is mandatory, then I will delete this commit and start a new one amending the original it_IT.json file.

It is for sure not perfect and there are some translations that can be improved, therefore I wish to invite @EugenioBuffo and any other Italian mother language person willing give advice and to help to review this extensive translation . I look forward read any feedback from the community and developers. Thank you.
---
 localizations/it_IT.json | 1560 ++++++++++++++++++++++++++------------
 1 file changed, 1069 insertions(+), 491 deletions(-)

diff --git a/localizations/it_IT.json b/localizations/it_IT.json
index d05035f9..9752f71c 100644
--- a/localizations/it_IT.json
+++ b/localizations/it_IT.json
@@ -1,492 +1,1070 @@
 {
-  "⤡": "⤡",
-  "⊞": "⊞",
-  "×": "×",
-  "❮": "❮",
-  "❯": "❯",
-  "Loading...": "Caricamento...",
-  "view": "mostra ",
-  "api": "API",
-  "•": "•",
-  "built with gradio": "Sviluppato con Gradio",
-  "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
-  "txt2img": "txt2img",
-  "img2img": "img2img",
-  "Extras": "Extra",
-  "PNG Info": "PNG Info",
-  "Checkpoint Merger": "Checkpoint Merger",
-  "Train": "Train",
-  "Image Browser": "Galleria Immagini",
-  "Settings": "Impostazioni",
-  "Prompt": "Prompt",
-  "Negative prompt": "Prompt negativo",
-  "Run": "Esegui",
-  "Skip": "Salta",
-  "Interrupt": "Interrompi",
-  "Generate": "Genera",
-  "Style 1": "Stile 1",
-  "Style 2": "Stile 2",
-  "Label": "Etichetta",
-  "File": "File",
-  "Drop File Here": "Trascina il file qui",
-  "-": "-",
-  "or": "o",
-  "Click to Upload": "Clicca per caricare",
-  "Image": "Immagine",
-  "Check progress": "Verifica progresso",
-  "Check progress (first)": "Verifica progresso (iniziale)",
-  "Sampling Steps": "Sampling Steps",
-  "Sampling method": "Sampling method",
-  "Euler a": "Euler a",
-  "Euler": "Euler",
-  "LMS": "LMS",
-  "Heun": "Heun",
-  "DPM2": "DPM2",
-  "DPM2 a": "DPM2 a",
-  "DPM fast": "DPM fast",
-  "DPM adaptive": "DPM adaptive",
-  "LMS Karras": "LMS Karras",
-  "DPM2 Karras": "DPM2 Karras",
-  "DPM2 a Karras": "DPM2 a Karras",
-  "DDIM": "DDIM",
-  "PLMS": "PLMS",
-  "Width": "Larghezza",
-  "Height": "Altezza",
-  "Restore faces": "Ripristina volti",
-  "Tiling": "Tiling",
-  "Highres. fix": "Highres. fix",
-  "Firstpass width": "Larghezza del primo step",
-  "Firstpass height": "Altezza del primo step",
-  "Denoising strength": "Denoising strength",
-  "Batch count": "Batch count",
-  "Batch size": "Batch size",
-  "CFG Scale": "CFG Scale",
-  "Seed": "Seed",
-  "Extra": "Extra",
-  "Variation seed": "Variation seed",
-  "Variation strength": "Variation strength",
-  "Resize seed from width": "Ridimensiona seed da larghezza",
-  "Resize seed from height": "Ridimensiona seed da altezza",
-  "Script": "Script",
-  "None": "Nessuno",
-  "Prompt matrix": "Prompt matrix",
-  "Prompts from file or textbox": "Prompts da file o casella di testo",
-  "X/Y plot": "X/Y plot",
-  "Put variable parts at start of prompt": "Inserisce una parte variabile all'inizio del prompt",
-  "Iterate seed every line": "Itera seed per ogni linea",
-  "List of prompt inputs": "Lista dei prompt in input",
-  "Upload prompt inputs": "Carica prompt di input",
-  "Show Textbox": "Mostra la casella di testo",
-  "File with inputs": "File con input",
-  "Prompts": "Prompts",
-  "X type": "X type",
-  "Nothing": "Nulla",
-  "Var. seed": "Var. seed",
-  "Var. strength": "Var. strength",
-  "Steps": "Steps",
-  "Prompt order": "Prompt order",
-  "Sampler": "Sampler",
-  "Checkpoint name": "Checkpoint name",
-  "Hypernetwork": "Hypernetwork",
-  "Hypernet str.": "Hypernet str.",
-  "Sigma Churn": "Sigma Churn",
-  "Sigma min": "Sigma min",
-  "Sigma max": "Sigma max",
-  "Sigma noise": "Sigma noise",
-  "Eta": "Eta",
-  "Clip skip": "Clip skip",
-  "Denoising": "Denoising",
-  "X values": "X values",
-  "Y type": "Y type",
-  "Y values": "Y values",
-  "Draw legend": "Disegna legenda",
-  "Include Separate Images": "Includi immagini separate",
-  "Keep -1 for seeds": "Mantieni il seed a -1",
-  "Drop Image Here": "Trascina l'immagine qui",
-  "Save": "Salva",
-  "Send to img2img": "Invia a img2img",
-  "Send to inpaint": "Invia a inpaint",
-  "Send to extras": "Invia a extra",
-  "Make Zip when Save?": "Creare Zip al salvataggio?",
-  "Textbox": "Casella di testo",
-  "Interrogate\nCLIP": "Interroga\nCLIP",
-  "Inpaint": "Inpaint",
-  "Batch img2img": "Batch img2img",
-  "Image for img2img": "Immagine per img2img",
-  "Image for inpainting with mask": "Immagine per inpainting con maschera",
-  "Mask": "Mask",
-  "Mask blur": "Maschera sfocatura",
-  "Mask mode": "Modalità maschera",
-  "Draw mask": "Disegna maschera",
-  "Upload mask": "Carica maschera",
-  "Masking mode": "Modalità mascheramento",
-  "Inpaint masked": "Inpaint mascherato",
-  "Inpaint not masked": "Inpaint non mascherato",
-  "Masked content": "Maschera contenuto",
-  "fill": "riempi",
-  "original": "originale",
-  "latent noise": "latent noise",
-  "latent nothing": "latent nothing",
-  "Inpaint at full resolution": "Inpaint alla massima risoluzione",
-  "Inpaint at full resolution padding, pixels": "Inpaint alla massima risoluzione padding, pixels",
-  "Process images in a directory on the same machine where the server is running.": "Processa le immagini in una cartella nella stessa macchina in cui il server è stato lanciato.",
-  "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usa una cartella di output vuota per salvare le immagini normalmente invece di scrivere nella cartella di output",
-  "Input directory": "Cartella di Input",
-  "Output directory": "Cartella di Output",
-  "Resize mode": "Modalità ridimensionamento",
-  "Just resize": "Solo ridimensionamento",
-  "Crop and resize": "Taglia e Ridimensiona",
-  "Resize and fill": "Ridimensiona e Riempi",
-  "img2img alternative test": "img2img alternative test",
-  "Loopback": "Loopback",
-  "Outpainting mk2": "Outpainting mk2",
-  "Poor man's outpainting": "Poor man's outpainting",
-  "SD upscale": "SD upscale",
-  "should be 2 or lower.": "deve essere 2 o inferiore.",
-  "Override `Sampling method` to Euler?(this method is built for it)": "Ripristinare il `Sampling method` in Euler?(metodo di default)",
-  "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Ripristinare il `prompt` al valore del `prompt originale`? (e `prompt negativo`)",
-  "Original prompt": "Prompt originale",
-  "Original negative prompt": "Promp negativo originale",
-  "Override `Sampling Steps` to the same value as `Decode steps`?": "Ripristinare il `Sampling Steps` al valore di `Decode steps`?",
-  "Decode steps": "Decode steps",
-  "Override `Denoising strength` to 1?": "Ripristinare `Denoising strength` a 1?",
-  "Decode CFG scale": "Decode CFG scale",
-  "Randomness": "Casualità",
-  "Sigma adjustment for finding noise for image": "Sigma adjustment for finding noise for image. ",
-  "Loops": "Loops",
-  "Denoising strength change factor": "Denoising strength change factor",
-  "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Impostazioni Raccomandate: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8",
-  "Pixels to expand": "Pixels to expand",
-  "Outpainting direction": "Direzione Outpainting",
-  "left": "sinistra",
-  "right": "destra",
-  "up": "su",
-  "down": "giù",
-  "Fall-off exponent (lower=higher detail)": "Fall-off exponent (inferiore=maggiori dettagli)",
-  "Color variation": "Variazione del colore",
-  "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Verrà effettuato l'upscale dell'immagine di due volte le sue dimensioni; usa gli sliders di larghezza e altezza per configurare la dimensione del tile",
-  "Tile overlap": "Sovrapposizione Tile",
-  "Upscaler": "Upscaler",
-  "Lanczos": "Lanczos",
-  "LDSR": "LDSR",
-  "SwinIR 4x": "SwinIR 4x",
-  "ScuNET GAN": "ScuNET GAN",
-  "ScuNET PSNR": "ScuNET PSNR",
-  "ESRGAN_4x": "ESRGAN_4x",
-  "Single Image": "Singola Immagine",
-  "Batch Process": "Batch Process",
-  "Batch from Directory": "Batch da Cartella",
-  "Source": "Sorgente",
-  "Show result images": "Mostra risultati",
-  "Scale by": "Scala di",
-  "Scale to": "Scala a",
-  "Resize": "Ridimensionamento",
-  "Crop to fit": "Taglia per adeguare",
-  "Upscaler 2 visibility": "Visibilità Upscaler 2",
-  "GFPGAN visibility": "Visibilità GFPGAN",
-  "CodeFormer visibility": "Visibilità CodeFormer",
-  "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso CodeFormer (0 = effetto massimo, 1 = effetto minimo)",
-  "Open output directory": "Apri cartella di output",
-  "Send to txt2img": "Invia a txt2img",
-  "A merger of the two checkpoints will be generated in your": "Una fusione dei due checkpoint sarà generata nella ",
-  "checkpoint": "checkpoint",
-  "directory.": " directory.",
-  "Primary model (A)": "Primo modello (A)",
-  "Secondary model (B)": "Secondo modello (B)",
-  "Tertiary model (C)": "Terzo modello (C)",
-  "Custom Name (Optional)": "Nome Personalizzato (opzionale)",
-  "Multiplier (M) - set to 0 to get model A": "Moltiplicatore (M) - Imposta 0 per ottenere il modello A",
-  "Interpolation Method": "Metodo di Interpolazione",
-  "Weighted sum": "Somma pesata",
-  "Add difference": "Add difference",
-  "Save as float16": "Salva come float16",
-  "See": "Verifica la ",
-  "wiki": "wiki ",
-  "for detailed explanation.": "per una spiegazione dettagliata.",
-  "Create embedding": "Crea embedding",
-  "Create hypernetwork": "Crea hypernetwork",
-  "Preprocess images": "Pre-processa immagini",
-  "Name": "Nome",
-  "Initialization text": "Testo di Inizializzazione",
-  "Number of vectors per token": "Numero di vettori per token",
-  "Overwrite Old Embedding": "Sovrascrivi Vecchio Embedding",
-  "Modules": "Moduli",
-  "Enter hypernetwork layer structure": "Inserisci la struttura livelli dell'hypernetwork",
-  "Select activation function of hypernetwork": "Seleziona la funzione di attivazione dell'hypernetwork",
-  "linear": "linear",
-  "relu": "relu",
-  "leakyrelu": "leakyrelu",
-  "elu": "elu",
-  "swish": "swish",
-  "tanh": "tanh",
-  "sigmoid": "sigmoid",
-  "celu": "celu",
-  "gelu": "gelu",
-  "glu": "glu",
-  "hardshrink": "hardshrink",
-  "hardsigmoid": "hardsigmoid",
-  "hardswish": "hardswish",
-  "hardtanh": "hardtanh",
-  "logsigmoid": "logsigmoid",
-  "logsoftmax": "logsoftmax",
-  "mish": "mish",
-  "multiheadattention": "multiheadattention",
-  "prelu": "prelu",
-  "rrelu": "rrelu",
-  "relu6": "relu6",
-  "selu": "selu",
-  "silu": "silu",
-  "softmax": "softmax",
-  "softmax2d": "softmax2d",
-  "softmin": "softmin",
-  "softplus": "softplus",
-  "softshrink": "softshrink",
-  "softsign": "softsign",
-  "tanhshrink": "tanhshrink",
-  "threshold": "threshold",
-  "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Seleziona Inizializzazione dei pesi dei livelli. (relu-like: Kaiming, sigmoid-like: Xavier). Xavier è raccomandato",
-  "Normal": "Normal",
-  "KaimingUniform": "KaimingUniform",
-  "KaimingNormal": "KaimingNormal",
-  "XavierUniform": "XavierUniform",
-  "XavierNormal": "XavierNormal",
-  "Add layer normalization": "Aggiungi normalizzazione dei livelli",
-  "Use dropout": "Usa dropout",
-  "Overwrite Old Hypernetwork": "Sovrascrivi Vecchio Hypernetwork",
-  "Source directory": "Cartella sorgente",
-  "Destination directory": "Cartella di destinazione",
-  "Existing Caption txt Action": "Azione in caso di didascalia già presente",
-  "ignore": "ignora",
-  "copy": "copia",
-  "prepend": "anteponi",
-  "append": "apponi",
-  "Create flipped copies": "Crea copie specchiate",
-  "Split oversized images": "Dividi immagini grandi",
-  "Use BLIP for caption": "Usa BLIP per la didascalia",
-  "Use deepbooru for caption": "Usa deepbooru per la didascalia",
-  "Split image threshold": "Dividi Threshold immagine",
-  "Split image overlap ratio": "Rapporto di sovrapposizione dell'immagine",
-  "Preprocess": "Preprocessa",
-  "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images",
-  "[wiki]": "[wiki]",
-  "Embedding": "Embedding",
-  "Embedding Learning rate": "Embedding Learning rate",
-  "Hypernetwork Learning rate": "Hypernetwork Learning rate",
-  "Dataset directory": "Cartella dataset",
-  "Log directory": "Cartella log",
-  "Prompt template file": "Prompt template file",
-  "Max steps": "Max steps",
-  "Save an image to log directory every N steps, 0 to disable": "Salva un'immagine ogni N step, 0 per disabilitare",
-  "Save a copy of embedding to log directory every N steps, 0 to disable": "Salva una copia dell'embedding nella cartella log ogni N step, 0 per disabilitare",
-  "Save images with embedding in PNG chunks": "Salva le immagini con embedding in PNG",
-  "Read parameters (prompt, etc...) from txt2img tab when making previews": "Usa i parametri (prompt, etc...) di txt2img per visualizzare le anteprime",
-  "Train Hypernetwork": "Train Hypernetwork",
-  "Train Embedding": "Train Embedding",
-  "extras": "Extra",
-  "favorites": "Preferiti",
-  "custom fold": "Cartella personalizzata",
-  "Load": "Carica",
-  "Images directory": "Cartella Immagini",
-  "Prev batch": "Batch Precedente",
-  "Next batch": "Batch Successivo",
-  "First Page": "Prima Pagina",
-  "Prev Page": "Pagina Precedente",
-  "Page Index": "Indice Pagina",
-  "Next Page": "Pagina Successiva",
-  "End Page": "Pagina Finale",
-  "number of images to delete consecutively next": "numero di immagini da eliminare consecutivamente a seguire",
-  "Delete": "Elimina",
-  "Generate Info": "Genera Info",
-  "File Name": "Nome File",
-  "Collect": "Ottieni",
-  "Refresh page": "Aggiorna Pagina",
-  "Date to": "Data fine",
-  "Number": "Numero",
-  "set_index": "set_index",
-  "Checkbox": "Checkbox",
-  "Apply settings": "Applica impostazioni",
-  "Saving images/grids": "Salvataggio immagini/griglie",
-  "Always save all generated images": "Salva sempre tutte le immagini generate",
-  "File format for images": "Formato file per le immagini",
-  "Images filename pattern": "Configura Pattern per il nome dei file immagine",
-  "Add number to filename when saving": "Aggiungi un numero al nome del file al salvataggio",
-  "Always save all generated image grids": "Salva sempre tutte le griglie delle immagini generate",
-  "File format for grids": "Formato file per le giglie",
-  "Add extended info (seed, prompt) to filename when saving grid": "Aggiungi informazioni estese (seed, prompt) al nome del file al salvataggio della griglia",
-  "Do not save grids consisting of one picture": "Non salvare griglie composte da una sola immagine",
-  "Prevent empty spots in grid (when set to autodetect)": "Previeni spazi vuoti nella griglia",
-  "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Numero righe griglia; usa -1 per trovarlo automaticamente e 0 per essere lo stesso del batch size",
-  "Save text information about generation parameters as chunks to png files": "Salva le informazioni dei parametri di generazione come chunks nei file PNG",
-  "Create a text file next to every image with generation parameters.": "Crea un file di testo per ogni immagine con i parametri di generazione.",
-  "Save a copy of image before doing face restoration.": "Salva una copia dell'immagine prima di fare la riparazione volti.",
-  "Quality for saved jpeg images": "Qualità per le immagini salvate in JPEG",
-  "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Se l'immagine PNG image è più grande di 4MB o qualsiasi dimensione maggiore di 4000, effettua il downscale e salva come JPG",
-  "Use original name for output filename during batch process in extras tab": "Usa il nome originale del file come nome del file di output durante il 'batch process' nella tab 'extras'",
-  "When using 'Save' button, only save a single selected image": "Usando il tasto 'Save', verrà salvata solo la singola immagine selezionata",
-  "Do not add watermark to images": "Non aggiungere watermark alle immagini",
-  "Paths for saving": "Percorsi per il salvataggio",
-  "Output directory for images; if empty, defaults to three directories below": "Cartella di Output globale per immagini; se vuota, verranno usate di default le cartelle indicate sotto",
-  "Output directory for txt2img images": "Cartella di Output per txt2img",
-  "Output directory for img2img images": "Cartella di Output per img2img",
-  "Output directory for images from extras tab": "Cartella di Output per immagini dalla tab 'extra'",
-  "Output directory for grids; if empty, defaults to two directories below": "Cartella di Output globale per le griglie; se vuota, verranno usate di default le cartelle indicate sotto",
-  "Output directory for txt2img grids": "Cartella di Output per txt2img grids",
-  "Output directory for img2img grids": "Cartella di Output per img2img grids",
-  "Directory for saving images using the Save button": "Cartella di Output per il salvataggion con il tasto 'Salva'",
-  "Saving to a directory": "Salvataggio in cartelle",
-  "Save images to a subdirectory": "Salva immagini in una sottocartella",
-  "Save grids to a subdirectory": "Salva griglie in una sottocartella",
-  "When using \"Save\" button, save images to a subdirectory": "Usando il tasto \"Salva\", le immagini verranno salvate in una sottocartella",
-  "Directory name pattern": "Pattern del nome della cartella",
-  "Max prompt words for [prompt_words] pattern": "Massimo numero di parole per il pattern [prompt_words]",
-  "Upscaling": "Upscaling",
-  "Tile size for ESRGAN upscalers. 0 = no tiling.": "Dimensione Tile per upscalers ESRGAN. 0 = no tiling.",
-  "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sovrapposizione Tile, in pixels per upscalers ESRGAN. Valore basso = taglio visible.",
-  "Tile size for all SwinIR.": "Dimensione Tile per SwinIR.",
-  "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Sovrapposizione Tile, in pixels per upscalers SwinIR. Valore basso = taglio visible.",
-  "LDSR processing steps. Lower = faster": "LDSR processing steps. Basso = Veloce",
-  "Upscaler for img2img": "Upscaler per img2img",
-  "Upscale latent space image when doing hires. fix": "Upscale latent space image when doing hires. fix",
-  "Face restoration": "Ripristino volti",
-  "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Peso CodeFormer; 0 = effetto massimo; 1 = effetto minimo",
-  "Move face restoration model from VRAM into RAM after processing": "Sposta il modello di ripristino volti dalla VRAM alla RAM dopo averlo processato",
-  "System": "Sistema",
-  "VRAM usage polls per second during generation. Set to 0 to disable.": "Utilizzo VRAM al secondo durante la generazione. Imposta 0 per disabilitare.",
-  "Always print all generation info to standard output": "Mostra sempre tutte le informazioni della generazione nello standard output",
-  "Add a second progress bar to the console that shows progress for an entire job.": "Aggiungi una seconda progress bar alla console per mostrare il progresso complessivo della generazione.",
-  "Training": "Training",
-  "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Sposta VAE e CLIP in RAM durante il training di hypernetwork. Risparmia VRAM.",
-  "Filename word regex": "Filename word regex",
-  "Filename join string": "Filename join string",
-  "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Numero di ripetizioni per singola immagine in input per epoch; usato solo per mostrare il numero di epoch",
-  "Save an csv containing the loss to log directory every N steps, 0 to disable": "Salva un csv contenente il loss nella cartella log ogni N step, 0 per disabilitare",
-  "Stable Diffusion": "Stable Diffusion",
-  "Checkpoints to cache in RAM": "Checkpoints da memorizzare in RAM",
-  "Hypernetwork strength": "Hypernetwork strength",
-  "Apply color correction to img2img results to match original colors.": "Applica color correction ai risultati img2img per uguagliare i colori originali.",
-  "Save a copy of image before applying color correction to img2img results": "Salva una copia dell'immagine prima di applicare la color correction ai risultati img2img",
-  "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Con img2img, effettua esattamente la quantità di step indicata (normalmente se ne effettuano di meno con meno riduzione del disturbo).",
-  "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Abilita la quantizzazione nei campionatori K per risultati più nitidi e puliti. Questo può cambiare seed esistenti. Richiede il riavvio per essere applicato.",
-  "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Enfasi: usa (testo) per far prestare maggiore attenzione al testo indicato e [testo] per renderlo meno importante",
-  "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usa la vecchia implementazione per l'enfasi. Può essere utile per riprodurre vecchi seeds.",
-  "Make K-diffusion samplers produce same images in a batch as when making a single image": "Fa sì che i K-Diffusion producano le stesse immagini in un batch come quando si effettuano una singola immagine",
-  "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta la coerenza aggiungendo dall'ultima virgola ulteriori N token quando si usano più di 75 token.",
-  "Filter NSFW content": "Filtra contenuti NSFW",
-  "Stop At last layers of CLIP model": "Fermati all'ultimo livello del modello CLIP",
-  "Interrogate Options": "Opzioni Interrogate",
-  "Interrogate: keep models in VRAM": "Interrogate: mantieni modelli nella VRAM",
-  "Interrogate: use artists from artists.csv": "Interrogate: usa artisti dal file artists.csv",
-  "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).",
-  "Interrogate: num_beams for BLIP": "Interrogate: num_beams per BLIP",
-  "Interrogate: minimum description length (excluding artists, etc..)": "Interrogate: minima lunghezza della descrizione (escludendo artisti, etc..)",
-  "Interrogate: maximum description length": "Interrogate: massima lunghezza descrizione",
-  "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: massimo numero di linee di testo per file (0 = Nessun limite)",
-  "Interrogate: deepbooru score threshold": "Interrogate: soglia punteggio deepbooru",
-  "Interrogate: deepbooru sort alphabetically": "Interrogate: deepbooru ordina alfabeticamente",
-  "use spaces for tags in deepbooru": "usa spazi per tag su deepbooru",
-  "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "effettuta l'escape (\\) delle parentesi in deepbooru (così vengono usati come parentesi e non come enfasi)",
-  "User interface": "Interfaccia Utente",
-  "Show progressbar": "Mostra barre di caricamento",
-  "Show image creation progress every N sampling steps. Set 0 to disable.": "Mostra il progresso della generazione immagini ogni N step. Imposta 0 per disabilitare.",
-  "Show previews of all images generated in a batch as a grid": "Mostra l'anteprima di tutte le immagini di un batch come griglia",
-  "Show grid in results for web": "Mostra la griglia nei risultati per web",
-  "Do not show any images in results for web": "Non mostrare alcun risultato per web",
-  "Add model hash to generation information": "Aggiungi l'hash del modello alle informazioni di generazione",
-  "Add model name to generation information": "Aggiungi il nome del modello alle informazioni di generazione",
-  "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Alla lettura dei parametri di generazione da testo ad interfaccia (da PNG o testo copiato), non cambiare il modello/checkpoint.",
-  "Font for image grids that have text": "Font per griglie di immagini con testo",
-  "Enable full page image viewer": "Abilita la visualizzazione a pagina intera",
-  "Show images zoomed in by default in full page image viewer": "Mostra le immagini zoommate di default nella visualizzazione a pagina intera",
-  "Show generation progress in window title.": "Mostra il progresso di generazione nel titolo della finestra.",
-  "Quicksettings list": "Lista imporazioni rapide",
-  "Localization (requires restart)": "Localization (richiede riavvio)",
-  "ar_AR": "ar_AR",
-  "es_ES": "es_ES",
-  "fr-FR": "fr-FR",
-  "it_IT": "it_IT",
-  "ja_JP": "ja_JP",
-  "ko_KR": "ko_KR",
-  "ru_RU": "ru_RU",
-  "tr_TR": "tr_TR",
-  "zh_CN": "zh_CN",
-  "Sampler parameters": "Parametri del Sampler",
-  "Hide samplers in user interface (requires restart)": "Hide samplers in user interface (richiede riavvio)",
-  "eta (noise multiplier) for DDIM": "eta (noise multiplier) per DDIM",
-  "eta (noise multiplier) for ancestral samplers": "eta (noise multiplier) per ancestral samplers",
-  "img2img DDIM discretize": "img2img DDIM discretize",
-  "uniform": "uniform",
-  "quad": "quad",
-  "sigma churn": "sigma churn",
-  "sigma tmin": "sigma tmin",
-  "sigma noise": "sigma noise",
-  "Eta noise seed delta": "Eta noise seed delta",
-  "Images Browser": "Galleria Immagini",
-  "Preload images at startup": "Precarica immagini all'avvio",
-  "Number of columns on the page": "Numero di colonne per pagina",
-  "Number of rows on the page": "Numero di righe per pagina",
-  "Minimum number of pages per load": "Minimo numero di pagine da caricare",
-  "Request browser notifications": "Richiedi notifiche via browser",
-  "Download localization template": "Scarica template di Localization",
-  "Reload custom script bodies (No ui updates, No restart)": "Ricarica gli script custom (Nessun aggiornamento UI, Nessun riavvio)",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Riavvio Gradio and Aggiorna i componenti (solo Script Custom, ui.py, js e css)",
-  "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (premi Ctrl+Enter o Alt+Enter per generare)",
-  "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (premi Ctrl+Enter o Alt+Enter per generare)",
-  "Add a random artist to the prompt.": "Aggiungi un'artista casuale al prompt.",
-  "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Leggi i parametri di generazione dal prompt o dall'ultima generazione se il prompt è vuoto nell'interfaccia utente.",
-  "Save style": "Salva stile",
-  "Apply selected styles to current prompt": "Applica lo stile selezionato al prompt corrente",
-  "Stop processing current image and continue processing.": "Smette di processare l'immagine corrente e continua a processare.",
-  "Stop processing images and return any results accumulated so far.": "Smette di processare l'immagine corrente e restituisce tutti i risultati accumulati fin'ora.",
-  "Style to apply; styles have components for both positive and negative prompts and apply to both": "Stile da applicare; gli stili verranno applicati sia ai prompt positivi che ai prompt negativi",
-  "Do not do anything special": "Non fa nulla di speciale",
-  "Which algorithm to use to produce the image": "Algoritmo usato per produrre l'immagine",
-  "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - molto creativo, può generare immagini completamente diverse in base alla quantità di step, impostare valori maggiori di 30-40 non aiuta",
-  "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - il migliore su inpainting",
-  "Produce an image that can be tiled.": "Produce un'immagine che può essere usata come texture.",
-  "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Usa un processo a due step per creare parzialmente un'immagine a bassa risoluzione, eseguire l'upscale e dopo migliorare i dettagli senza cambiarne la composizione.",
-  "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.",
-  "How many batches of images to create": "Quanti batch di immagini creare in una sola generazione",
-  "How many image to create in a single batch": "Quante immagini creare per ogni singolo batch",
-  "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - quanto l'immagine sarà conforme al prompt - valori bassi generano risultati più creativi",
-  "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Un valore che determina l'output del generatore casuale di numeri - se crei un'immagine con gli stessi parametri e seed, otterrai lo stesso risultato",
-  "Set seed to -1, which will cause a new random number to be used every time": "Imposta il seed a -1, dunque verrà usato un numero diverso ogni volta",
-  "Reuse seed from last generation, mostly useful if it was randomed": "Riutilizza il seed dall'ultima generazione, utile nel caso fosse casuale",
-  "Seed of a different picture to be mixed into the generation.": "Seed di differenti generazioni, mescolati nella generazione corrente.",
-  "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).",
-  "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Prova a generare immagini simili a quelle che sarebbero state prodotte con lo stesso seed ad una specifica risoluzione",
-  "Separate a list of words with commas, and the first word will be used as a keyword: script will search for this word in the prompt, and replace it with others": "Separa una lista di parole usando le virgole, la prima parola verrà usata come parola chiave: lo script cercherà la parola nel prompt e la rimpiazzerà con le altre",
-  "Separate values for X axis using commas.": "Separa i valori per l'asse X usando le virgole.",
-  "Separate values for Y axis using commas.": "Separa i valori per l'asse Y usando le virgole.",
-  "Write image to a directory (default - log/images) and generation parameters into csv file.": "Salva l'immagine in una cartella (default - log/images) e i parametri di generazione in un file CSV.",
-  "Open images output directory": "Apri la cartella di output delle immagini",
-  "How much to blur the mask before processing, in pixels.": "Quanto sfocare le maschere prima di processarle, in pixel.",
-  "What to put inside the masked area before processing it with Stable Diffusion.": "Cosa inserire nell'area di mascheramento prima di processarla con Stable Diffusion.",
-  "fill it with colors of the image": "riempi con colori dell'immagine",
-  "keep whatever was there originally": "mantieni qualsiasi cosa ci fosse originariamente",
-  "fill it with latent space noise": "riempi con latent space noise",
-  "fill it with latent space zeroes": "riempi con latent space zeroes",
-  "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Effettua l'Upscale della regione mascherata alla risoluzione obiettivo, effettua l'inpainting, esegue il downscale e lo incolla nell'immagine originale",
-  "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Ridimensiona l'immagine alla risoluzione obiettivo. Se l'altezza e la larghezza non coincidono, il risultato avrà un'aspect ratio scorretto.",
-  "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Ridimensiona l'immagine affinché l'intera risoluzione obiettivo sia riempita con l'immagine. Taglia le parti che restano fuori.",
-  "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "RRidimensiona l'immagine affinché l'intera risoluzione obiettivo sia riempita con l'immagine. Riempie gli spazi vuoti con i colori dell'immagine.",
-  "How many times to repeat processing an image and using it as input for the next iteration": "Quante volte processare un immagine e usarla come input per la prossima iterazione",
-  "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In modalità Loopback, per ogni loop la denoising strength sarà moltiplicata per il suo valore. <1 significa ridurre la varietà, dunque la sequenza convergerà in un'immagine più sistemata. >1 significa aumentare la varietà, quindi la sequenza sarà sempre più caotica.",
-  "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Per l'upscale in SD, quanta sovrapposizione vi sarà in pixel per ogni tile. I tile si sovrapporranno in modo da essere fusi insieme in una singola immagine. Non vi sarà alcuna linea visibile.",
-  "A directory on the same machine where the server is running.": "Una cartella nella stessa macchina in cui il server è in funzione.",
-  "Leave blank to save images to the default path.": "Lascia vuoto per salvare le immagini nel percorso di default.",
-  "Result = A * (1 - M) + B * M": "Risultato = A * (1 - M) + B * M",
-  "Result = A + (B - C) * M": "Risultato = A + (B - C) * M",
-  "1st and last digit must be 1. ex:'1, 2, 1'": "Il primo e l'ulitmo carattere devono essere 1. es:'1, 2, 1'",
-  "Path to directory with input images": "Percorso della cartella con le immagini di input",
-  "Path to directory where to write outputs": "Percorso della cartella dove posizione le immagini di output",
-  "Input images directory": "Cartella immagini di input",
-  "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa i seguenti tag per definire come i nomi dei file saranno scelti: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; lascia vuoto per default.",
-  "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se questa opzione non è abilita, i watermark non verranno aggiunti. Attenzione: se non aggiungi i watermark, potresti star agendo in modo non etico.",
-  "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
-  "Restore low quality faces using GFPGAN neural network": "Ripristina i volti in bassa qualità usando la rete neurale GFPGAN",
-  "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Questa espressione regolare verrà usata per estrarre parole dai nomi dei file, e verranno uniti usanto le opzioni indicate sotto per il training. Lascia vuoto per mantenere il nome del file così com'è.",
-  "This string will be used to join split words into a single line if the option above is enabled.": "Questa stringa sarà usata per unire parole tagliate in una sola riga se l'opzione sopra è abilitata.",
-  "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.",
-  "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.",
-  "Enable Autocomplete": "Abilita Autocompletamento"
-}
+    "⤡": "⤡",
+    "⊞": "⊞",
+    "×": "×",
+    "❮": "❮",
+    "❯": "❯",
+    "Loading...": "Caricamento...",
+    "view": "mostra ",
+    "api": "API",
+    "•": " • ",
+    "built with gradio": " Sviluppato con Gradio",
+    "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
+    "txt2img": "txt2img",
+    "img2img": "img2img",
+    "Extras": "Extra",
+    "PNG Info": "Info PNG",
+    "Checkpoint Merger": "Miscelatore di Checkpoint",
+    "Train": "Addestramento",
+    "Create aesthetic embedding": "Crea incorporamento estetico",
+    "Dataset Tag Editor": "Dataset Tag Editor",
+    "Deforum": "Deforum",
+    "Artists To Study": "Artisti per studiare",
+    "Image Browser": "Galleria immagini",
+    "Inspiration": "Ispirazione",
+    "Settings": "Impostazioni",
+    "Prompt": "Prompt",
+    "Negative prompt": "Prompt negativo",
+    "Run": "Esegui",
+    "Skip": "Salta",
+    "Interrupt": "Interrompi",
+    "Generate": "Genera",
+    "Style 1": "Stile 1",
+    "Style 2": "Stile 2",
+    "Label": "Etichetta",
+    "File": "File",
+    "Drop File Here": "Trascina il file qui",
+    "-": "-",
+    "or": "o",
+    "Click to Upload": "Clicca per caricare",
+    "Image": "Immagine",
+    "Check progress": "Controlla i progressi",
+    "Check progress (first)": "Controlla i progressi (primo)",
+    "Sampling Steps": "Passi di campionamento",
+    "Sampling method": "Metodo di campionamento",
+    "Euler a": "Euler a",
+    "Euler": "Euler",
+    "LMS": "LMS",
+    "Heun": "Heun",
+    "DPM2": "DPM2",
+    "DPM2 a": "DPM2 a",
+    "DPM fast": "DPM fast",
+    "DPM adaptive": "DPM adaptive",
+    "LMS Karras": "LMS Karras",
+    "DPM2 Karras": "DPM2 Karras",
+    "DPM2 a Karras": "DPM2 a Karras",
+    "DDIM": "DDIM",
+    "PLMS": "PLMS",
+    "Width": "Larghezza",
+    "Height": "Altezza",
+    "Restore faces": "Restaura i volti",
+    "Tiling": "Piastrellatura",
+    "Highres. fix": "Correzione alta risoluzione",
+    "Firstpass width": "Larghezza del primo passaggio",
+    "Firstpass height": "Altezza del primo passaggio",
+    "Denoising strength": "Forza del Denoising",
+    "Batch count": "Lotti di immagini",
+    "Batch size": "Immagini per lotto",
+    "CFG Scale": "Scala CFG",
+    "Seed": "Seme",
+    "Extra": "Extra",
+    "Variation seed": "Seme della variazione",
+    "Variation strength": "Forza della variazione",
+    "Resize seed from width": "Ridimensiona il seme dalla larghezza",
+    "Resize seed from height": "Ridimensiona il seme dall'altezza",
+    "Open for Clip Aesthetic!": "Apri per Estetica CLIP!",
+    "▼": "▼",
+    "Aesthetic weight": "Estetica - Peso",
+    "Aesthetic steps": "Estetica - Passi",
+    "Aesthetic learning rate": "Estetica - Tasso di apprendimento",
+    "Slerp interpolation": "Interpolazione Slerp",
+    "Aesthetic imgs embedding": "Estetica - Incorporamento di immagini",
+    "None": "Nessuno",
+    "Aesthetic text for imgs": "Estetica - Testo per le immagini",
+    "Slerp angle": "Angolo Slerp",
+    "Is negative text": "È un testo negativo",
+    "Script": "Script",
+    "Random": "Random",
+    "Advanced prompt matrix": "Matrice di prompt avanzata",
+    "Alternate Sampler Noise Schedules": "Metodi alternativi di campionamento del rumore",
+    "Asymmetric tiling": "Piastrellatura asimmetrica",
+    "Custom code": "Custom code",
+    "Dynamic Prompting v0.2": "Prompt dinamici v0.2",
+    "Embedding to Shareable PNG": "Incorporamento convertito in PNG condivisibile",
+    "Force symmetry": "Forza la simmetria",
+    "Prompts interpolation": "Interpola Prompt",
+    "Prompt matrix": "Matrice dei prompt",
+    "Prompt morph": "Metamorfosi del prompt",
+    "Prompts from file or textbox": "Prompt da file o da casella di testo",
+    "To Infinity and Beyond": "Verso l'infinito e oltre",
+    "Seed travel": "Seed travel",
+    "Shift attention": "Sposta l'attenzione",
+    "Text to Vector Graphics": "Da testo a grafica vettoriale",
+    "X/Y plot": "Grafico X/Y",
+    "X/Y/Z plot": "Grafico X/Y/Z",
+    "Create inspiration images": "Crea immagini di ispirazione",
+    "Loops": "Loops",
+    "step1 min/max": "step1 min/max",
+    "step2 min/max": "step2 min/max",
+    "cfg1 min/max": "cfg1 min/max",
+    "cfg2 min/max": "cfg2 min/max",
+    "Keep -1 for seeds": "Keep -1 for seeds",
+    "Usage: a <corgi|cat> wearing <goggles|a hat>": "Utilizzo: a <corgi|cat> wearing <goggles|a hat>",
+    "Noise Scheduler": "Programmatore del rumore",
+    "Default": "Predefinito",
+    "Karras": "Karras",
+    "Exponential": "Esponenziale",
+    "Variance Preserving": "Conservazione della Varianza",
+    "Sigma min": "Sigma min",
+    "Sigma max": "Sigma max",
+    "Sigma rho (Karras only)": "Sigma rho (Solo Karras)",
+    "Beta distribution (VP only)": "Distribuzione Beta (Solo CV)",
+    "Beta min (VP only)": "Beta min (Solo CV)",
+    "Epsilon (VP only)": "Epsilon (Solo CV)",
+    "Tile X": "Piastrella asse X",
+    "Tile Y": "Piastrella asse Y",
+    "Python code": "Codice Python",
+    "Combinatorial generation": "Generazione combinatoria",
+    "Combinations": "Combinazioni",
+    "Choose a number of terms from a list, in this case we choose two artists": "Scegli un numero di termini da un elenco, in questo caso scegliamo due artisti",
+    "{2$$artist1|artist2|artist3}": "{2$$artist1|artist2|artist3}",
+    "If $$ is not provided, then 1$$ is assumed.": "Se $$ non viene fornito, si presume 1$$.",
+    "{1-3$$artist1|artist2|artist3}": "{1-3$$artist1|artist2|artist3}",
+    "In this case, a random number of artists between 1 and 3 is chosen.": "In questo caso viene scelto un numero casuale di artisti compreso tra 1 e 3.",
+    "Wildcards": "Termini jolly",
+    "If the groups wont drop down click": "Se i gruppi non vengono visualizzati, clicca",
+    "here": "qui",
+    "to fix the issue.": "per correggere il problema.",
+    "WILDCARD_DIR: scripts/wildcards": "WILDCARD_DIR: scripts/wildcards",
+    "You can add more wildcards by creating a text file with one term per line and name is mywildcards.txt. Place it in scripts/wildcards.": "Puoi aggiungere termini jolly creando un file di testo con un termine per riga e nominandolo, per esempio, mywildcards.txt. Inseriscilo in scripts/wildcards.",
+    "__<folder>/mywildcards__": "__<folder>/mywildcards__",
+    "will then become available.": "diverrà quindi disponibile.",
+    "Source embedding to convert": "Incorporamento sorgente da convertire",
+    "Embedding token": "Token Incorporamento",
+    "Output directory": "Cartella di output",
+    "Horizontal symmetry": "Simmetria orizzontale",
+    "Vertical symmetry": "Simmetria verticale",
+    "Alt. symmetry method (blending)": "Alt. symmetry method (blending)",
+    "Apply every n steps": "Applica ogni n passi",
+    "Skip last n steps": "Salta gli ultimi n passi",
+    "Interpolation prompt": "Prompt di interpolazione",
+    "Number of images": "Numero di immagini",
+    "Make a gif": "Crea GIF",
+    "Duration of images (ms)": "Durata delle immagini (ms)",
+    "Put variable parts at start of prompt": "Inserisce le parti variabili all'inizio del prompt",
+    "Keyframe Format:": "Formato dei fotogrammi chiave:",
+    "Seed | Prompt or just Prompt": "Seme | Prompt o semplicemente Prompt",
+    "Prompt list": "Elenco dei prompt",
+    "Number of images between keyframes": "Numero di immagini tra fotogrammi chiave",
+    "Save results as video": "Salva i risultati come video",
+    "Frames per second": "Fotogrammi al secondo",
+    "Iterate seed every line": "Iterare il seme per ogni riga",
+    "List of prompt inputs": "Elenco di prompt di input",
+    "Upload prompt inputs": "Carica un file contenente i prompt di input",
+    "n": "n",
+    "Destination seed(s) (Comma separated)": "Seme/i di destinazione (separati da virgola)",
+    "Only use Random seeds (Unless comparing paths)": "Usa solo semi casuali (a meno che non si confrontino i percorsi)",
+    "Number of random seed(s)": "Numero di semi casuali",
+    "Compare paths (Separate travels from 1st seed to each destination)": "Confronta percorsi (transizioni separate dal primo seme a ciascuna destinazione)",
+    "Steps": "Passi",
+    "Loop back to initial seed": "Ritorna al seme iniziale",
+    "Bump seed (If > 0 do a Compare Paths but only one image. No video)": "Bump seed (If > 0 do a Compare Paths but only one image. No video)",
+    "Show generated images in ui": "Mostra le immagini generate nell'interfaccia utente",
+    "\"Hug the middle\" during interpolation": "\"Hug the middle\" durante l'interpolazione",
+    "Allow the default Euler a Sampling method. (Does not produce good results)": "Consenti Euler_a come metodo di campionamento predefinito. (Non produce buoni risultati)",
+    "Visual style": "Stile visivo",
+    "Illustration": "Illustrazione",
+    "Logo": "Logo",
+    "Drawing": "Disegno",
+    "Artistic": "Artistico",
+    "Tattoo": "Tatuaggio",
+    "Gothic": "Gotico",
+    "Anime": "Anime",
+    "Cartoon": "Cartoon",
+    "Sticker": "Etichetta",
+    "Gold Pendant": "Ciondolo in oro",
+    "None - prompt only": "Nessuno - solo prompt",
+    "Enable Vectorizing": "Abilita vettorizzazione",
+    "Output format": "Formato di output",
+    "svg": "svg",
+    "pdf": "pdf",
+    "White is Opaque": "Il bianco è opaco",
+    "Cut white margin from input": "Taglia il margine bianco dall'input",
+    "Keep temp images": "Conserva le immagini temporanee",
+    "Threshold": "Soglia",
+    "Transparent PNG": "PNG trasparente",
+    "Noise Tolerance": "Tolleranza al rumore",
+    "Quantize": "Quantizzare",
+    "X type": "Parametro asse X",
+    "Nothing": "Niente",
+    "Var. seed": "Seme della variazione",
+    "Var. strength": "Forza della variazione",
+    "Prompt S/R": "Cerca e Sostituisci nel Prompt",
+    "Prompt order": "In ordine di prompt",
+    "Sampler": "Campionatore",
+    "Checkpoint name": "Nome del checkpoint",
+    "Hypernetwork": "Iperrete",
+    "Hypernet str.": "Forza della Iperrete",
+    "Sigma Churn": "Sigma Churn",
+    "Sigma noise": "Sigma noise",
+    "Eta": "ETA",
+    "Clip skip": "Salta CLIP",
+    "Denoising": "Riduzione del rumore",
+    "Cond. Image Mask Weight": "Cond. Image Mask Weight",
+    "X values": "Valori per X",
+    "Y type": "Parametro asse Y",
+    "Y values": "Valori per Y",
+    "Draw legend": "Disegna legenda",
+    "Include Separate Images": "Includi immagini separate",
+    "Z type": "Parametro asse Z",
+    "Z values": "Valori per Z",
+    "Artist or styles name list. '.txt' files with one name per line": "Elenco nomi di artisti o stili. File '.txt' con un nome per riga",
+    "Prompt words before artist or style name": "Parole chiave prima del nome dell'artista o dello stile",
+    "Prompt words after artist or style name": "Parole chiave dopo il nome dell'artista o dello stile",
+    "Negative Prompt": "Prompt negativo",
+    "Save": "Salva",
+    "Send to img2img": "Invia a img2img",
+    "Send to inpaint": "Invia a inpaint",
+    "Send to extras": "Invia a extra",
+    "Make Zip when Save?": "Crea un file ZIP quando si usa 'Salva'",
+    "Textbox": "Casella di testo",
+    "Interrogate\nCLIP": "Interroga\nCLIP",
+    "Interrogate\nDeepBooru": "Interroga\nDeepBooru",
+    "Inpaint": "Inpaint",
+    "Batch img2img": "Lotti img2img",
+    "Image for img2img": "Immagine per img2img",
+    "Drop Image Here": "Trascina l'immagine qui",
+    "Image for inpainting with mask": "Immagine per inpainting con maschera",
+    "Mask": "Maschera",
+    "Mask blur": "Sfocatura maschera",
+    "Mask mode": "Modalità maschera",
+    "Draw mask": "Disegna maschera",
+    "Upload mask": "Carica maschera",
+    "Masking mode": "Modalità mascheratura",
+    "Inpaint masked": "Inpaint mascherato",
+    "Inpaint not masked": "Inpaint non mascherato",
+    "Masked content": "Contenuto mascherato",
+    "fill": "riempi",
+    "original": "originale",
+    "latent noise": "rumore latente",
+    "latent nothing": "latenza nulla",
+    "Inpaint at full resolution": "Inpaint alla massima risoluzione",
+    "Inpaint at full resolution padding, pixels": "Inpaint con riempimento a piena risoluzione, pixel",
+    "Process images in a directory on the same machine where the server is running.": "Elabora le immagini in una cartella sulla stessa macchina su cui è in esecuzione il server.",
+    "Use an empty output directory to save pictures normally instead of writing to the output directory.": "Usa una cartella di output vuota per salvare normalmente le immagini invece di scrivere nella cartella di output.",
+    "Input directory": "Cartella di Input",
+    "Resize mode": "Modalità di ridimensionamento",
+    "Just resize": "Ridimensiona solamente",
+    "Crop and resize": "Ritaglia e ridimensiona",
+    "Resize and fill": "Ridimensiona e riempie",
+    "Advanced loopback": "Advanced loopback", 
+    "Animator v5": "Animator v5",
+    "External Image Masking": "Immagine esterna per la mascheratura",
+    "img2img alternative test": "Test alternativo per img2img",
+    "img2tiles": "img2tiles",
+    "Interpolate": "Interpolare",
+    "Loopback": "Rielaborazione ricorsiva",
+    "Loopback and Superimpose": "Rielabora ricorsivamente e sovraimponi",
+    "Outpaint Canvas Region": "Regione della tela di Outpaint",
+    "Outpainting mk2": "Outpainting mk2",
+    "Poor man's outpainting": "Poor man's outpainting",
+    "SD upscale": "Ampliamento SD",
+    "txt2mask v0.1.1": "txt2mask v0.1.1",
+    "[C] Video to video": "[C] Video to video",
+    "Videos": "Filmati",
+    "Deforum-webui (use tab extension instead!)": "Deforum-webui (usa piuttosto la scheda Deforum delle estensioni!)",
+    "Use first image colors (custom color correction)": "Use first image colors (custom color correction)",
+    "Denoising strength change factor (overridden if proportional used)": "Denoising strength change factor (overridden if proportional used)",
+    "Zoom level": "Zoom level",
+    "Direction X": "Direction X",
+    "Direction Y": "Direction Y",
+    "Denoising strength start": "Denoising strength start",
+    "Denoising strength end": "Denoising strength end",
+    "Denoising strength proportional change starting value": "Denoising strength proportional change starting value",
+    "Denoising strength proportional change ending value (0.1 = disabled)": "Denoising strength proportional change ending value (0.1 = disabled)",
+    "Saturation enhancement per image": "Saturation enhancement per image",
+    "Use sine denoising strength variation": "Use sine denoising strength variation",
+    "Phase difference": "Phase difference",
+    "Denoising strength exponentiation": "Denoising strength exponentiation",
+    "Use sine zoom variation": "Use sine zoom variation",
+    "Zoom exponentiation": "Zoom exponentiation",
+    "Use multiple prompts": "Use multiple prompts",
+    "Same seed per prompt": "Same seed per prompt",
+    "Same seed for everything": "Same seed for everything",
+    "Original init image for everything": "Original init image for everything",
+    "Multiple prompts : 1 line positive, 1 line negative, leave a blank line for no negative": "Multiple prompts : 1 line positive, 1 line negative, leave a blank line for no negative",
+    "Render these video formats:": "Renderizza in questi formati:",
+    "GIF": "GIF",
+    "MP4": "MP4",
+    "WEBM": "WEBM",
+    "Animation Parameters": "Parametri animazione",
+    "Total Animation Length (s)": "Durata totale dell'animazione (s)",
+    "Framerate": "Frequenza dei fotogrammi",
+    "Initial Parameters": "Parametri iniziali",
+    "Denoising Strength (overrides img2img slider)": "Intensità di riduzione del rumore (sovrascrive il cursore img2img)",
+    "Seed_March": "Seed_March",
+    "Smoothing_Frames": "Smoothing_Frames",
+    "Zoom Factor (scale/s)": "Fattore di ingrandimento (scala/s)",
+    "X Pixel Shift (pixels/s)": "X Pixel Shift (pixels/s)",
+    "Y Pixel Shift (pixels/s)": "Y Pixel Shift (pixels/s)",
+    "Rotation (deg/s)": "Rotazione (gradi/s)",
+    "Prompt Template, applied to each keyframe below": "Modello di prompt, applicato a ciascun fotogramma chiave qui di seguito",
+    "Positive Prompts": "Prompt positivi",
+    "Negative Prompts": "Prompt negativi",
+    "Props": "Props",
+    "Folder:": "Cartella:",
+    "Supported Keyframes:": "Fotogrammi chiave supportati:",
+    "time_s | source | video, images, img2img | path": "time_s | source | video, images, img2img | path",
+    "time_s | prompt | positive_prompts | negative_prompts": "time_s | prompt | positive_prompts | negative_prompts",
+    "time_s | template | positive_prompts | negative_prompts": "time_s | template | positive_prompts | negative_prompts",
+    "time_s | transform | zoom | x_shift | y_shift | rotation": "time_s | transform | zoom | x_shift | y_shift | rotation",
+    "time_s | seed | new_seed_int": "time_s | seed | new_seed_int",
+    "time_s | denoise | denoise_value": "time_s | denoise | denoise_value",
+    "time_s | set_text | textblock_name | text_prompt | x | y | w | h | fore_color | back_color | font_name": "time_s | set_text | textblock_name | text_prompt | x | y | w | h | fore_color | back_color | font_name",
+    "time_s | clear_text | textblock_name": "time_s | clear_text | textblock_name",
+    "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation": "time_s | prop | prop_name | prop_filename | x pos | y pos | scale | rotation",
+    "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation": "time_s | set_stamp | stamp_name | stamp_filename | x pos | y pos | scale | rotation",
+    "time_s | clear_stamp | stamp_name": "time_s | clear_stamp | stamp_name",
+    "time_s | col_set": "time_s | col_set",
+    "time_s | col_clear": "time_s | col_clear",
+    "time_s | model | sd-v1-4_f16, sd-v1-5-inpainting, sd-v1-5-pruned-emaonly_fp16, wd-v1-3-float16": "time_s | model | sd-v1-4_f16, sd-v1-5-inpainting, sd-v1-5-pruned-emaonly_fp16, wd-v1-3-float16",
+    "Keyframes:": "Fotogrammi chiave:",
+    "Masking preview size": "Dimensione dell'anteprima della mascheratura",
+    "Draw new mask on every run": "Disegna una nuova maschera ad ogni esecuzione",
+    "Process non-contigious masks separately": "Elaborare le maschere non contigue separatamente",
+    "should be 2 or lower.": "dovrebbe essere 2 o inferiore.",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Sovrascrivi il `Metodo di campionamento` con Eulero? (questo metodo è stato creato per questo)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Sovrascrivi `prompt` con lo stesso valore del `prompt originale`? (e `prompt negativo`)",
+    "Original prompt": "Prompt originale",
+    "Original negative prompt": "Prompt negativo originale",
+    "Override `Sampling Steps` to the same val due as `Decode steps`?": "Sovrascrivere 'Passi di campionamento' allo stesso valore di 'Passi di decodifica'?",
+    "Decode steps": "Passi di decodifica",
+    "Override `Denoising strength` to 1?": "Sostituisci 'Forza di denoising' a 1?",
+    "Decode CFG scale": "Scala CFG di decodifica",
+    "Randomness": "Casualità",
+    "Sigma adjustment for finding noise for image": "Regolazione Sigma per trovare il rumore per l'immagine",
+    "Tile size": "Dimensione piastrella",
+    "Tile overlap": "Sovrapposizione piastrella",
+    "alternate img2img imgage": "alternate img2img imgage",
+    "interpolation values": "Valori di interpolazione",
+    "Refinement loops": "Cicli di affinamento",
+    "Loopback alpha": "Trasparenza rielaborazione ricorsiva",
+    "Border alpha": "Trasparenza del bordo",
+    "Blending strides": "Passi di fusione",
+    "Reuse Seed": "Riusa il seme",
+    "One grid": "Singola griglia",
+    "Interpolate VarSeed": "Interpola il seme di variazione",
+    "Paste on mask": "Incolla sulla maschera",
+    "Inpaint all": "Inpaint tutto",
+    "Interpolate in latent": "Interpola in latenza",
+    "Denoising strength change factor": "Fattore di variazione dell'intensità di denoising",
+    "Superimpose alpha": "Sovrapporre Alpha",
+    "Show extra settings": "Mostra impostazioni aggiuntive",
+    "Reuse seed": "Riusa il seme",
+    "CFG decay factor": "Fattore di decadimento CFG",
+    "CFG target": "CFG di destinazione",
+    "Show/Hide Canvas": "Mostra/Nascondi Tela",
+    "Left start coord": "Coordinate iniziali - Sinistra",
+    "top start coord": "Coordinate iniziali - Sopra",
+    "unused": "non usato",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Impostazioni consigliate: Passi di campionamento: 80-100, Campionatore: Euler a, Intensità denoising: 0.8",
+    "Pixels to expand": "Pixel da espandere",
+    "Outpainting direction": "Direzione di Outpainting",
+    "left": "sinistra",
+    "right": "destra",
+    "up": "sopra",
+    "down": "sotto",
+    "Fall-off exponent (lower=higher detail)": "Esponente di decremento (più basso=maggior dettaglio)",
+    "Color variation": "Variazione di colore",
+    "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Aumenterà l'immagine al doppio delle dimensioni; utilizzare i cursori di larghezza e altezza per impostare la dimensione della piastrella",
+    "Upscaler": "Ampliamento immagine",
+    "Lanczos": "Lanczos",
+    "LDSR": "LDSR",
+    "ESRGAN_4x": "ESRGAN_4x",
+    "ScuNET GAN": "ScuNET GAN",
+    "ScuNET PSNR": "ScuNET PSNR",
+    "SwinIR 4x": "SwinIR 4x",
+    "Mask prompt": "Prompt maschera",
+    "Negative mask prompt": "Prompt maschera negativa",
+    "Mask precision": "Precisione della maschera",
+    "Mask padding": "Estendi i bordi della maschera",
+    "Brush mask mode": "Modalità pennello maschera",
+    "discard": "Scarta",
+    "add": "Aggiungi",
+    "subtract": "Sottrai",
+    "Show mask in output?": "Mostra maschera in uscita?",
+    "If you like my work, please consider showing your support on": "Se ti piace il mio lavoro, per favore considera di mostrare il tuo supporto su ",
+    "Patreon": "Patreon",
+    "Input file path": "Percorso file di input",
+    "CRF (quality, less is better, x264 param)": "CRF (qualità, meno è meglio, x264 param)",
+    "FPS": "FPS",
+    "Seed step size": "Ampiezza del gradiente del seme",
+    "Seed max distance": "Distanza massima del seme",
+    "Start time": "Orario di inizio",
+    "End time": "Orario di fine",
+    "End Prompt Blend Trigger Percent": "Percentuale di innesco del mix col prompt finale",
+    "Prompt end": "Prompt finale",
+    "Smooth video": "Rendi il filmato fluido",
+    "Seconds": "Secondi",
+    "Zoom": "Zoom",
+    "Rotate": "Ruota",
+    "Degrees": "Gradi",
+    "Is the Image Tiled?": "L'immagine è piastrellata?",
+    "TranslateX": "Traslazione X",
+    "Left": "Sinistra",
+    "PercentX": "Percentuale X",
+    "TranslateY": "Traslazione Y",
+    "Up": "Sopra",
+    "PercentY": "Percentuale Y",
+    "Show generated pictures in ui": "Mostra le immagini generate nell'interfaccia utente",
+    "Deforum v0.5-webui-beta": "Deforum v0.5-webui-beta",
+    "This script is deprecated. Please use the full Deforum extension instead.": "Questo script è obsoleto. Utilizzare invece l'estensione Deforum completa.",
+    "Update instructions:": "Istruzioni per l'aggiornamento:",
+    "github.com/deforum-art/deforum-for-automatic1111-webui/blob/automatic1111-webui/README.md": "github.com/deforum-art/deforum-for-automatic1111-webui/blob/automatic1111-webui/README.md",
+    "discord.gg/deforum": "discord.gg/deforum",
+    "Single Image": "Singola immagine",
+    "Batch Process": "Elaborare a lotti",
+    "Batch from Directory": "Lotto da cartella",
+    "Source": "Sorgente",
+    "Show result images": "Mostra le immagini dei risultati",
+    "Scale by": "Scala di",
+    "Scale to": "Scala a",
+    "Resize": "Ridimensiona",
+    "Crop to fit": "Ritaglia per adattare",
+    "Upscaler 2 visibility": "Visibilità Ampliamento immagine 2",
+    "GFPGAN visibility": "Visibilità GFPGAN",
+    "CodeFormer visibility": "Visibilità CodeFormer",
+    "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso di CodeFormer (0 = effetto massimo, 1 = effetto minimo)",
+    "Upscale Before Restoring Faces": "Amplia prima di restaurare i volti",
+    "Send to txt2img": "Invia a txt2img",
+    "A merger of the two checkpoints will be generated in your": "I due checkpoint verranno fusi nella cartella dei",
+    "checkpoint": "checkpoint",
+    "directory.": ".",
+    "Primary model (A)": "Modello Primario (A)",
+    "Secondary model (B)": "Modello Secondario (B)",
+    "Tertiary model (C)": "Modello Terziario (C)",
+    "Custom Name (Optional)": "Nome personalizzato (facoltativo)",
+    "Multiplier (M) - set to 0 to get model A": "Moltiplicatore (M): impostare a 0 per ottenere il modello A",
+    "Interpolation Method": "Metodo di interpolazione",
+    "Weighted sum": "Somma pesata",
+    "Add difference": "Aggiungi differenza",
+    "Save as float16": "Salva come float16",
+    "See": "Consulta la ",
+    "wiki": "wiki",
+    "for detailed explanation.": " per una spiegazione dettagliata.",
+    "Create embedding": "Crea Incorporamento",
+    "Create hypernetwork": "Crea Iperrete",
+    "Preprocess images": "Preprocessa le immagini",
+    "Name": "Nome",
+    "Initialization text": "Testo di inizializzazione",
+    "Number of vectors per token": "Numero di vettori per token",
+    "Overwrite Old Embedding": "Sovrascrivi il vecchio incorporamento",
+    "Modules": "Moduli",
+    "Enter hypernetwork layer structure": "Immettere la struttura del livello della Iperrete",
+    "Select activation function of hypernetwork": "Selezionare la funzione di attivazione della Iperrete",
+    "linear": "linear",
+    "relu": "relu",
+    "leakyrelu": "leakyrelu",
+    "elu": "elu",
+    "swish": "swish",
+    "tanh": "tanh",
+    "sigmoid": "sigmoid",
+    "celu": "celu",
+    "gelu": "gelu",
+    "glu": "glu",
+    "hardshrink": "hardshrink",
+    "hardsigmoid": "hardsigmoid",
+    "hardtanh": "hardtanh",
+    "logsigmoid": "logsigmoid",
+    "logsoftmax": "logsoftmax",
+    "mish": "mish",
+    "prelu": "prelu",
+    "rrelu": "rrelu",
+    "relu6": "relu6",
+    "selu": "selu",
+    "silu": "silu",
+    "softmax": "softmax",
+    "softmax2d": "softmax2d",
+    "softmin": "softmin",
+    "softplus": "softplus",
+    "softshrink": "softshrink",
+    "softsign": "softsign",
+    "tanhshrink": "tanhshrink",
+    "threshold": "threshold",
+    "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "Seleziona inizializzazione dei pesi dei livelli. relu-like - Kaiming, Si consiglia sigmoid-like - Xavier",
+    "Normal": "Normal",
+    "KaimingUniform": "KaimingUniform",
+    "KaimingNormal": "KaimingNormal",
+    "XavierUniform": "XavierUniform",
+    "XavierNormal": "XavierNormal",
+    "Add layer normalization": "Aggiunge la normalizzazione del livello",
+    "Use dropout": "Usa Dropout",
+    "Overwrite Old Hypernetwork": "Sovrascrive la vecchia Iperrete",
+    "Source directory": "Cartella sorgente",
+    "Destination directory": "Cartella di destinazione",
+    "Existing Caption txt Action": "Azione sul testo della didascalia esistente",
+    "ignore": "ignora",
+    "copy": "copia",
+    "prepend": "anteporre",
+    "append": "appendere",
+    "Create flipped copies": "Crea copie specchiate",
+    "Split oversized images": "Dividi immagini di grandi dimensioni",
+    "Auto focal point crop": "Ritaglio automatico al punto focale",													 
+    "Use BLIP for caption": "Usa BLIP per la didascalia",
+    "Use deepbooru for caption": "Usa deepbooru per la didascalia",
+    "Split image threshold": "Soglia di divisione dell'immagine",
+    "Split image overlap ratio": "Rapporto di sovrapposizione dell'immagine",
+    "Focal point face weight": "Peso della faccia del punto focale",
+    "Focal point entropy weight": "Peso dell'entropia del punto focale",
+    "Focal point edges weight": "Peso dei bordi del punto focalePeso dei bordi del punto focale",
+    "Create debug image": "Crea immagine di debug",
+    "Preprocess": "Preprocessa",
+    "Train an embedding or Hypernetwork; you must specify a directory with a set of 1:1 ratio images": "Addestra un Incorporamento o Iperrete; è necessario specificare una directory con un set di immagini con rapporto 1:1",
+    "[wiki]": "[wiki]",
+    "Embedding": "Incorporamento",
+    "Embedding Learning rate": "Tasso di apprendimento Incorporamento",
+    "Hypernetwork Learning rate": "Tasso di apprendimento Iperrete",
+    "Dataset directory": "Cartella del Dataset",
+    "Log directory": "Cartella del registro",
+    "Prompt template file": "File modello prompt",
+    "Max steps": "Passi massimi",
+    "Save an image to log directory every N steps, 0 to disable": "Salva un'immagine nella cartella del registro ogni N passaggi, 0 per disabilitare",
+    "Save a copy of embedding to log directory every N steps, 0 to disable": "Salva una copia dell'incorporamento nella cartella del registro ogni N passaggi, 0 per disabilitare",
+    "Save images with embedding in PNG chunks": "Salva le immagini con l'incorporamento in blocchi PNG",
+    "Read parameters (prompt, etc...) from txt2img tab when making previews": "Legge i parametri (prompt, ecc...) dalla scheda txt2img durante la creazione delle anteprime",
+    "Train Hypernetwork": "Addestra Iperrete",
+    "Train Embedding": "Addestra Incorporamento",
+    "Create an aesthetic embedding out of any number of images": "Crea un'incorporamento estetico da qualsiasi numero di immagini",
+    "Create images embedding": "Crea incorporamento di immagini",
+    "-1": "-1",
+    "This extension works well with text captions in comma-separated style (such as the tags generated by DeepBooru interrogator).": "Questa estensione funziona bene con i sottotitoli di testo in stile separato da virgole (come i tag generati dall'interrogatore DeepBooru).",
+    "Save all changes": "Salva tutte le modifiche",
+    "Backup original text file (original file will be renamed like filename.000, .001, .002, ...)": "Backup del file di testo originale (il file originale verrà rinominato come nomefile.000, .001, .002, ...)",
+    "Note:": "Note:",
+    "New text file will be created if you are using filename as captions.": "Verrà creato un nuovo file di testo se si utilizza il nome del file come didascalia.",
+    "Results": "Risultati",
+    "Load": "Carica",
+    "Dataset Images": "Immagini del Dataset",
+    "Filter and Edit Tags": "Filtra e modifica i tag",
+    "Edit Caption of Selected Image": "Modifica la didascalia dell'immagine selezionata",
+    "Search tags / Filter images by tags": "Cerca tag / Filtra le immagini per tag",
+    "Search Tags": "Cerca tag",
+    "Clear all filters": "Rimuovi tutti i filtri",
+    "Sort by": "Ordina per",
+    "Alphabetical Order": "Ordine alfabetico",
+    "Frequency": "Frequenza",
+    "Sort Order": "Ordinamento",
+    "Ascending": "Ascendente",
+    "Descending": "Discendente",
+    "Filter Images by Tags": "Filtra le immagini per tag",
+    "Edit tags in filtered images": "Modifica i tag nelle immagini filtrate",
+    "Selected Tags": "Tag selezionati",
+    "Edit Tags": "Modificare i tag",
+    "Apply changes to filtered images": "Applica le modifiche alle immagini filtrate",
+    "Append additional tags to the beginning": "Aggiungi tag addizionali all'inizio",
+    "1. The selected tags are displayed in comma separated style.": "1. I tag selezionati vengono visualizzati in uno stile separato da virgole.",
+    "2. When changes are applied, all tags in each displayed images are replaced.": "2. Quando vengono applicate le modifiche, tutti i tag in ciascuna immagine visualizzata vengono sostituiti.",
+    "3. If you change some tags into blank, they will be erased.": "3. Se modifichi alcuni tag con uno spazio vuoto, verranno cancellati.",
+    "4. If you add some tags to the end, they will be appended to the end/beginning of the text file.": "4. Se aggiungi dei tag alla fine, questi verranno aggiunti alla fine/inizio del file di testo.",
+    "5. Changes are not applied to the text files until the \"Save all changes\" button is pressed.": "5. Le modifiche non vengono applicate ai file di testo finché non viene premuto il pulsante \"Salva tutte le modifiche\"..",
+    "ex A.": "esempio A.",
+    "Original Text = \"A, A, B, C\" Selected Tags = \"B, A\" Edit Tags = \"X, Y\"": "Testo originale = \"A, A, B, C\" Tag selezionati = \"B, A\" Modifica tag = \"X, Y\"",
+    "Result = \"Y, Y, X, C\" (B->X, A->Y)": "Risultato = \"Y, Y, X, C\" (B->X, A->Y)",
+    "ex B.": "esempio B.",
+    "Original Text = \"A, B, C\" Selected Tags = \"(nothing)\" Edit Tags = \"X, Y\"": "Testo originale = \"A, B, C\" Tag selezionati = \"(nothing)\" Modifica tag = \"X, Y\"",
+    "Result = \"A, B, C, X, Y\" (add X and Y to the end (default))": "Risultato = \"A, B, C, X, Y\" (aggiunge X e Y alla fine (predefinito))",
+    "Risultato = \"X, Y, A, B, C\" (aggiunge X e Y all'inizio (\"Aggiungi tag addizionali all'inizio\" selezionato))": "Risultato = \"X, Y, A, B, C\" (aggiunge X e Y all'inizio (\"Aggiungi tag addizionali all'inizio\" selezionato))",
+    "ex C.": "esempio C.",
+    "Original Text = \"A, B, C, D, E\" Selected Tags = \"A, B, D\" Edit Tags = \", X, \"": "Testo originale = \"A, B, C, D, E\" Tag selezionati = \"A, B, D\" Modifica tag = \", X, \"",
+    "Result = \"X, C, E\" (A->\"\", B->X, D->\"\")": "Risultato = \"X, C, E\" (A->\"\", B->X, D->\"\")",
+    "Caption of Selected Image": "Didascalia dell'immagine selezionata",
+    "Copy caption": "Copia didascalia",
+    "Edit Caption": "Modifica didascalia",
+    "Apply changes to selected image": "Applica le modifiche all'immagine selezionata",
+    "Changes are not applied to the text files until the \"Save all changes\" button is pressed.": "Le modifiche non vengono applicate ai file di testo finché non viene premuto il pulsante \"Salva tutte le modifiche\".",
+    "Info and links": "Info e link",
+    "Made by deforum.github.io, port for AUTOMATIC1111's webui maintained by kabachuha": "Realizzato da deforum.github.io, port per l'interfaccia web di AUTOMATIC1111 manutenuto da kabachuha",
+    "Original Deforum Github repo  github.com/deforum/stable-diffusion": "Repository Github originale di Deforum  github.com/deforum/stable-diffusion",
+    "This fork for auto1111's webui github.com/deforum-art/deforum-for-automatic1111-webui": "Questo fork è per l'interfaccia web di AUTOMATIC1111 github.com/deforum-art/deforum-for-automatic1111-webui",
+    "Join the official Deforum Discord discord.gg/deforum to share your creations and suggestions": "Unisciti al canale Discord ufficiale di Deforum discord.gg/deforum per condividere le tue creazioni e suggerimenti",
+    "User guide for v0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit": "Manuale d'uso per la versione 0.5 docs.google.com/document/d/1pEobUknMFMkn8F5TMsv8qRzamXX_75BShMMXV8IFslI/edit",
+    "Math keyframing explanation docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing": "Spiegazione della matematica dei fotogrammi chiave docs.google.com/document/d/1pfW1PwbDIuW0cv-dnuyYj1UzPqe23BlSLTJsqazffXM/edit?usp=sharing",
+    "Keyframes": "Fotogrammi chiave",
+    "Prompts": "Prompt",
+    "Init": "Inizializzare",
+    "Video output": "Uscita video",
+    "Run settings": "Esegui le impostazioni",
+    "Import settings from file": "Importa impostazioni da file",
+    "Override settings": "Sostituisci le impostazioni",
+    "Custom settings file": "File delle impostazioni personalizzate",
+    "Sampling settings": "Impostazioni di campionamento",
+    "override_these_with_webui": "Sovrascrivi con Web UI",
+    "W": "L",
+    "H": "A",
+    "seed": "Seme",
+    "sampler": "Campionatore",
+    "Enable extras": "Abilita Extra",
+    "subseed": "sub seme",
+    "subseed_strength": "Intensità subseme",
+    "steps": "passi",
+    "ddim_eta": "ETA DDIM",
+    "n_batch": "Numero lotto",
+    "make_grid": "Crea griglia",
+    "grid_rows": "Righe griglia",
+    "save_settings": "Salva impostazioni",
+    "save_samples": "Salva i campioni",
+    "display_samples": "Mostra i campioni",
+    "save_sample_per_step": "Salva campioni per passo",
+    "show_sample_per_step": "Mostra campioni per passo",
+    "Batch settings": "Impostazioni lotto",
+    "batch_name": "Nome del lotto",
+    "filename_format": "Formato nome del file",
+    "seed_behavior": "Comportamento seme",
+    "iter": "Iterativo",
+    "fixed": "Fisso",
+    "random": "Casuale",
+    "schedule": "Programmato",
+    "Animation settings": "Impostazioni animazione",
+    "animation_mode": "Modalità animazione",
+    "2D": "2D",
+    "3D": "3D",
+    "Video Input": "Ingresso video",
+    "max_frames": "Fotogrammi max",
+    "border": "Bordo",
+    "replicate": "Replica",
+    "wrap": "Impacchetta",
+    "Motion parameters:": "Parametri di movimento:",
+    "2D and 3D settings": "Impostazioni 2D e 3D",
+    "angle": "Angolo",
+    "zoom": "Zoom",
+    "translation_x": "Traslazione X",
+    "translation_y": "Traslazione Y",
+    "3D settings": "Impostazioni 3D",
+    "translation_z": "Traslazione Z",
+    "rotation_3d_x": "Rotazione 3D X",
+    "rotation_3d_y": "Rotazione 3D Y",
+    "rotation_3d_z": "Rotazione 3D Z",
+    "Prespective flip — Low VRAM pseudo-3D mode:": "Inversione prospettica: modalità pseudo-3D a bassa VRAM:",
+    "flip_2d_perspective": "Inverti prospettiva 2D",
+    "perspective_flip_theta": "Inverti prospettiva theta",
+    "perspective_flip_phi": "Inverti prospettiva phi",
+    "perspective_flip_gamma": "Inverti prospettiva gamma",
+    "perspective_flip_fv": "Inverti prospettiva fv",
+    "Generation settings:": "Impostazioni di generazione:",
+    "noise_schedule": "Pianificazione del rumore",
+    "strength_schedule": "Intensità della pianificazione",
+    "contrast_schedule": "Contrasto della pianificazione",
+    "cfg_scale_schedule": "Pianificazione della scala CFG",
+    "3D Fov settings:": "Impostazioni del campo visivo 3D:",
+    "fov_schedule": "Pianificazione del campo visivo",
+    "near_schedule": "Pianificazione da vicino",
+    "far_schedule": "Pianificazione da lontano",
+    "To enable seed schedule select seed behavior — 'schedule'": "Per abilitare la pianificazione del seme, seleziona il comportamento del seme — 'programma'",
+    "seed_schedule": "Pianificazione del seme",
+    "Coherence:": "Coerenza:",
+    "color_coherence": "Coerenza del colore",
+    "Match Frame 0 HSV": "Uguaglia HSV del fotogramma 0",
+    "Match Frame 0 LAB": "Uguaglia LAB del fotogramma 0",
+    "Match Frame 0 RGB": "Uguaglia RGB del fotogramma 0",
+    "diffusion_cadence": "Cadenza di diffusione",
+    "3D Depth Warping:": "Deformazione della profondità 3D:",
+    "use_depth_warping": "Usa la deformazione della profondità",
+    "midas_weight": "Peso MIDAS",
+    "near_plane": "Piano vicino",
+    "far_plane": "Piano lontano",
+    "fov": "Campo visivo",
+    "padding_mode": "Modalità di riempimento",
+    "reflection": "Rifletti",
+    "zeros": "Zeri",
+    "sampling_mode": "Modalità di campionamento",
+    "bicubic": "bicubic",
+    "bilinear": "bilinear",
+    "nearest": "nearest",
+    "save_depth_maps": "Salva le mappe di profondità",
+    "`animation_mode: None` batches on list of *prompts*. (Batch mode disabled atm, only animation_prompts are working)": "`modalità animazione: Nessuno` si inserisce nell'elenco di *prompt*. (Modalità batch disabilitata atm, funzionano solo i prompt di animazione)",
+    "*Important change from vanilla Deforum!*": "*Importante cambiamento rispetto alla versione originale di Deforum!*",
+    "This script uses the built-in webui weighting settings.": "Questo script utilizza le impostazioni di pesatura webui integrate.",
+    "So if you want to use math functions as prompt weights,": "Quindi, se vuoi usare le funzioni matematiche come pesi dei prompt,",
+    "keep the values above zero in both parts": "mantenere i valori sopra lo zero in entrambe le parti",
+    "Negative prompt part can be specified with --neg": "La parte negativa del prompt può essere specificata con --neg",
+    "batch_prompts (disabled atm)": "Prompt in lotti (al momento è disabilitato)",
+    "animation_prompts": "Prompt animazione",
+    "Init settings": "Impostazioni iniziali",
+    "use_init": "Usa le impostazioni iniziali",
+    "from_img2img_instead_of_link": "from_img2img_instead_of_link",
+    "strength_0_no_init": "strength_0_no_init",
+    "strength": "Intensità",
+    "init_image": "Immagine di inizializzazione",
+    "use_mask": "Usa maschera",
+    "use_alpha_as_mask": "Usa alpha come maschera",
+    "invert_mask": "Inverti la maschera",
+    "overlay_mask": "Sovrapponi la maschera",
+    "mask_file": "File della maschera",
+    "mask_brightness_adjust": "Regola la luminosità della maschera",
+    "mask_overlay_blur": "Sfocatura della sovrapposizione della maschera",
+    "Video Input:": "Ingresso video:",
+    "video_init_path": "Percorso del video di inizializzazione",
+    "extract_nth_frame": "Estrai ogni ennesimo fotogramma",
+    "overwrite_extracted_frames": "Sovrascrivi i fotogrammi estratti",
+    "use_mask_video": "Usa maschera video",
+    "video_mask_path": "Percorso della maschera video",
+    "Interpolation (turned off atm)": "Interpolazione (attualmente spento)",
+    "interpolate_key_frames": "Interpola fotogrammi chiave",
+    "interpolate_x_frames": "Interpola x fotogrammi",
+    "Resume animation:": "Riprendi l'animazione:",
+    "resume_from_timestring": "Riprendi da stringa temporale",
+    "resume_timestring": "Stringa temporale",
+    "Video output settings": "Impostazioni uscita video",
+    "skip_video_for_run_all": "skip_video_for_run_all",
+    "fps": "FPS",
+    "output_format": "Formato di uscita",
+    "PIL gif": "PIL gif",
+    "FFMPEG mp4": "FFMPEG mp4",
+    "ffmpeg_location": "Percorso ffmpeg",
+    "add_soundtrack": "Aggiungi colonna sonora",
+    "soundtrack_path": "Percorso colonna sonora",
+    "use_manual_settings": "Usa impostazioni manuali",
+    "render_steps": "Passi di renderizzazione",
+    "max_video_frames": "Numero max fotogrammi video",
+    "path_name_modifier": "Modificatore del nome del percorso",
+    "x0_pred": "x0_pred",
+    "x": "x",
+    "image_path": "Percorso immagine",
+    "mp4_path": "Percorso MP4",
+    "Click here after the generation to show the video": "Clicca qui dopo la generazione per mostrare il video",
+    "Save Settings": "Salva le impostazioni",
+    "Load Settings": "Carica le impostazioni",
+    "Path relative to the webui folder." : "Percorso relativo alla cartella webui.",
+    "Save Video Settings": "Salva impostazioni video",
+    "Load Video Settings": "Carica impostazioni video",
+    "dog": "cane",
+    "house": "casa",
+    "portrait": "ritratto",
+    "spaceship": "nave spaziale",
+    "anime": "anime",
+    "cartoon": "cartoon",
+    "digipa-high-impact": "digipa-high-impact",
+    "digipa-med-impact": "digipa-med-impact",
+    "digipa-low-impact": "digipa-low-impact",
+    "fareast": "estremo oriente",
+    "fineart": "fineart",
+    "scribbles": "scarabocchi",
+    "special": "special",
+    "ukioe": "ukioe",
+    "weird": "strano",
+    "black-white": "bianco e nero",
+    "nudity": "nudità",
+    "c": "c",
+    "Get Images": "Ottieni immagini",
+    "dog-anime": "dog-anime",
+    "dog-cartoon": "dog-cartoon",
+    "dog-digipa-high-impact": "dog-digipa-high-impact",
+    "dog-digipa-med-impact": "dog-digipa-med-impact",
+    "dog-digipa-low-impact": "dog-digipa-low-impact",
+    "dog-fareast": "dog-fareast",
+    "dog-fineart": "dog-fineart",
+    "dog-scribbles": "dog-scribbles",
+    "dog-special": "dog-special",
+    "dog-ukioe": "dog-ukioe",
+    "dog-weird": "dog-weird",
+    "dog-black-white": "dog-black-white",
+    "dog-nudity": "dog-nudity",
+    "dog-c": "dog-c",
+    "dog-n": "dog-n",
+    "house-anime": "house-anime",
+    "house-cartoon": "house-cartoon",
+    "house-digipa-high-impact": "house-digipa-high-impact",
+    "house-digipa-med-impact": "house-digipa-med-impact",
+    "house-digipa-low-impact": "house-digipa-low-impact",
+    "house-fareast": "house-fareast",
+    "house-fineart": "house-fineart",
+    "house-scribbles": "house-scribbles",
+    "house-special": "house-special",
+    "house-ukioe": "house-ukioe",
+    "house-weird": "house-weird",
+    "house-black-white": "house-black-white",
+    "house-nudity": "house-nudity",
+    "house-c": "house-c",
+    "house-n": "house-n",
+    "portrait-anime": "portrait-anime",
+    "portrait-cartoon": "portrait-cartoon",
+    "portrait-digipa-high-impact": "portrait-digipa-high-impact",
+    "portrait-digipa-med-impact": "portrait-digipa-med-impact",
+    "portrait-digipa-low-impact": "portrait-digipa-low-impact",
+    "portrait-fareast": "portrait-fareast",
+    "portrait-fineart": "portrait-fineart",
+    "portrait-scribbles": "portrait-scribbles",
+    "portrait-special": "portrait-special",
+    "portrait-ukioe": "portrait-ukioe",
+    "portrait-weird": "portrait-weird",
+    "portrait-black-white": "portrait-black-white",
+    "portrait-nudity": "portrait-nudity",
+    "portrait-c": "portrait-c",
+    "portrait-n": "portrait-n",
+    "spaceship-anime": "spaceship-anime",
+    "spaceship-cartoon": "spaceship-cartoon",
+    "spaceship-digipa-high-impact": "spaceship-digipa-high-impact",
+    "spaceship-digipa-med-impact": "spaceship-digipa-med-impact",
+    "spaceship-digipa-low-impact": "spaceship-digipa-low-impact",
+    "spaceship-fareast": "spaceship-fareast",
+    "spaceship-fineart": "spaceship-fineart",
+    "spaceship-scribbles": "spaceship-scribbles",
+    "spaceship-special": "spaceship-special",
+    "spaceship-ukioe": "spaceship-ukioe",
+    "spaceship-weird": "spaceship-weird",
+    "spaceship-black-white": "spaceship-black-white",
+    "spaceship-nudity": "spaceship-nudity",
+    "spaceship-c": "spaceship-c",
+    "spaceship-n": "spaceship-n",
+    "artists to study extension by camenduru |": "Estensione 'Artisti per studiare' a cura di camenduru |",
+    "github": "Github",
+    "|": "|",
+    "twitter": "Twitter",
+    "youtube": "Youtube",
+    "hi-res images": "Immagini in alta risoluzione",
+    "All images generated with CompVis/stable-diffusion-v1-4 +": "Tutte le immagini sono state generate con CompVis/stable-diffusion-v1-4 +",
+    "artists.csv": "artists.csv",
+    "| License: Attribution 4.0 International (CC BY 4.0)": "| Licenza: Attribution 4.0 International (CC BY 4.0)",
+    "extras": "Extra",
+    "favorites": "Preferiti",
+    "others": "Altre immagini",
+    "Images directory": "Cartella immagini",
+    "Dropdown": "Elenco cartelle",
+    "First Page": "Prima pagina",
+    "Prev Page": "Pagina precedente",
+    "Page Index": "Indice pagina",
+    "Next Page": "Pagina successiva",
+    "End Page": "Ultima pagina",
+    "delete next": "Cancella successivo",
+    "Delete": "Elimina",
+    "sort by": "Ordina per",
+    "path name": "Nome percorso",
+    "date": "Data",
+    "keyword": "Parola chiave",
+    "Generate Info": "Genera Info",
+    "File Name": "Nome del file",
+    "Collect": "Aggiungi ai preferiti",
+    "Renew page": "Aggiorna la pagina",
+    "Number": "Numero",
+    "set_index": "Imposta indice",
+    "load_switch": "load_switch",
+    "turn_page_switch": "turn_page_switch",
+    "Checkbox": "Casella di controllo",
+    "Checkbox Group": "Seleziona immagini per",
+    "artists": "Artisti",
+    "flavors": "Stili",
+    "mediums": "Tecniche",
+    "movements": "Movimenti artistici",
+    "All": "Tutto",
+    "Favorites": "Preferiti",
+    "Exclude abandoned": "Escludi scartati",
+    "Abandoned": "Scartati",
+    "Key word": "Parola chiave",
+    "Get inspiration": "Ispirami",
+    "to txt2img": "Invia a txt2img",
+    "to img2img": "Invia a img2img",
+    "Don't show again": "Scarta",
+    "Move out": "Rimuovi",
+    "set button": "Pulsante imposta", 
+    "Apply settings": "Applica le impostazioni",
+    "Saving images/grids": "Salva immagini/griglie",
+    "Always save all generated images": "Salva sempre tutte le immagini generate",
+    "File format for images": "Formato del file delle immagini",
+    "Images filename pattern": "Modello del nome dei file immagine",
+    "Add number to filename when saving": "Aggiungi un numero al nome del file al salvataggio",
+    "Always save all generated image grids": "Salva sempre tutte le griglie di immagini generate",
+    "File format for grids": "Formato del file per le griglie",
+    "Add extended info (seed, prompt) to filename when saving grid": "Aggiungi informazioni estese (seme, prompt) al nome del file durante il salvataggio della griglia",
+    "Do not save grids consisting of one picture": "Non salvare le griglie composte da una sola immagine",
+    "Prevent empty spots in grid (when set to autodetect)": "Previeni spazi vuoti nella griglia (se impostato su rilevamento automatico)",
+    "Grid row count; use -1 for autodetect and 0 for it to be same as batch size": "Numero di righe della griglia; utilizzare -1 per il rilevamento automatico e 0 per essere uguale alla dimensione del lotto",
+    "Save text information about generation parameters as chunks to png files": "Salva le informazioni di testo dei parametri di generazione come blocchi nel file png",
+    "Create a text file next to every image with generation parameters.": "Crea un file di testo assieme a ogni immagine con i parametri di generazione.",
+    "Save a copy of image before doing face restoration.": "Salva una copia dell'immagine prima di eseguire il restauro dei volti.",
+    "Quality for saved jpeg images": "Qualità delle immagini salvate in formato JPEG",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Se l'immagine PNG è più grande di 4 MB o qualsiasi dimensione è maggiore di 4000, ridimensiona e salva la copia come JPG",
+    "Use original name for output filename during batch process in extras tab": "Usa il nome originale per il nome del file di output durante l'elaborazione a lotti nella scheda 'Extra'",
+    "When using 'Save' button, only save a single selected image": "Usando il pulsante 'Salva', verrà salvata solo la singola immagine selezionata",
+    "Do not add watermark to images": "Non aggiungere la filigrana alle immagini",
+    "Paths for saving": "Percorsi di salvataggio",
+    "Output directory for images; if empty, defaults to three directories below": "Cartella di output per le immagini; se vuoto, per impostazione predefinita verranno usate le cartelle seguenti",
+    "Output directory for txt2img images": "Cartella di output per le immagini txt2img",
+    "Output directory for img2img images": "Cartella di output per le immagini img2img",
+    "Output directory for images from extras tab": "Cartella di output per le immagini dalla scheda 'Extra'",
+    "Output directory for grids; if empty, defaults to two directories below": "Cartella di output per le griglie; se vuoto, per impostazione predefinita veranno usate cartelle seguenti",
+    "Output directory for txt2img grids": "Cartella di output per le griglie txt2img",
+    "Output directory for img2img grids": "Cartella di output per le griglie img2img",
+    "Directory for saving images using the Save button": "Cartella dove salvare le immagini usando il pulsante 'Salva'",
+    "Saving to a directory": "Salva in una cartella",
+    "Save images to a subdirectory": "Salva le immagini in una sotto cartella",
+    "Save grids to a subdirectory": "Salva le griglie in una sotto cartella",
+    "When using \"Save\" button, save images to a subdirectory": "Usando il pulsante \"Salva\", le immagini verranno salvate in una sotto cartella",
+    "Directory name pattern": "Modello del nome della cartella",
+    "Max prompt words for [prompt_words] pattern": "Numero massimo di parole del prompt per il modello [prompt_words]",
+    "Upscaling": "Ampliamento",
+    "Tile size for ESRGAN upscalers. 0 = no tiling.": "Dimensione piastrella per ampliamento ESRGAN. 0 = nessuna piastrellatura.",
+    "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sovrapposizione delle piastrelle, in pixel per gli ampliamenti ESRGAN. Valori bassi = cucitura visibile.",
+    "Tile size for all SwinIR.": "Dimensione piastrella per tutti gli SwinIR.",
+    "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Sovrapposizione delle piastrelle, in pixel per SwinIR. Valori bassi = cucitura visibile.",
+    "LDSR processing steps. Lower = faster": "Fasi di elaborazione LDSR. Più basso = più veloce",
+    "Upscaler for img2img": "Metodo di ampliamento per img2img",
+    "Upscale latent space image when doing hires. fix": "Amplia l'immagine nello spazio latente durante la correzione in alta risoluzione",
+    "Face restoration": "Restauro del viso",
+    "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "Peso di CodeFormer; 0 = effetto massimo; 1 = effetto minimo",
+    "Move face restoration model from VRAM into RAM after processing": "Sposta il modello di restauro facciale dalla VRAM alla RAM dopo l'elaborazione",
+    "System": "Sistema",
+    "VRAM usage polls per second during generation. Set to 0 to disable.": "Verifiche al secondo sull'utilizzo della VRAM durante la generazione. Impostare a 0 per disabilitare.",
+    "Always print all generation info to standard output": "Stampa sempre tutte le informazioni di generazione sul output standard",
+    "Add a second progress bar to the console that shows progress for an entire job.": "Aggiungi una seconda barra di avanzamento alla console che mostra l'avanzamento complessivo del lavoro.",
+    "Training": "Addestramento",
+    "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "Sposta VAE e CLIP nella RAM durante l'addestramento di Iperreti. Risparmia VRAM.",
+    "Filename word regex": "Filename word regex",
+    "Filename join string": "Filename join string",
+    "Number of repeats for a single input image per epoch; used only for displaying epoch number": "Numero di ripetizioni per una singola immagine di input per epoca; utilizzato solo per visualizzare il numero di epoca",
+    "Save an csv containing the loss to log directory every N steps, 0 to disable": "Salva un file CSV contenente la perdita nella cartella di registrazione ogni N passaggi, 0 per disabilitare",
+    "Stable Diffusion": "Stable Diffusion",
+    "Checkpoints to cache in RAM": "Checkpoint da memorizzare nella RAM",
+    "Hypernetwork strength": "Forza della Iperrete",
+    "Inpainting conditioning mask strength": "Forza della maschera di condizionamento del Inpainting",
+    "Apply color correction to img2img results to match original colors.": "Applica la correzione del colore ai risultati di img2img in modo che corrispondano ai colori originali.",
+    "Save a copy of image before applying color correction to img2img results": "Salva una copia dell'immagine prima di applicare la correzione del colore ai risultati di img2img",
+    "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Con img2img, esegue esattamente la quantità di passi specificata dalla barra di scorrimento (normalmente se ne effettuano di meno con meno riduzione del rumore).",
+    "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Abilita la quantizzazione nei campionatori K per risultati più nitidi e puliti. Questo può cambiare i semi esistenti. Richiede il riavvio per applicare la modifica.",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Enfasi: utilizzare (testo) per fare in modo che il modello presti maggiore attenzione al testo e [testo] per fargli prestare meno attenzione",
+    "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usa la vecchia implementazione dell'enfasi. Può essere utile per riprodurre vecchi semi.",
+    "Make K-diffusion samplers produce same images in a batch as when making a single image": "Fa sì che i campionatori di diffusione K producano le stesse immagini in un lotto come quando si genera una singola immagine",
+    "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta la coerenza disattivando dall'ultima virgola all'indietro di n token quando si utilizzano più di 75 token",
+    "Filter NSFW content": "Filtra i contenuti NSFW",
+    "Stop At last layers of CLIP model": "Fermati agli ultimi livelli del modello CLIP",
+    "Interrogate Options": "Opzioni di interrogazione",
+    "Interrogate: keep models in VRAM": "Interroga: mantieni i modelli nella VRAM",
+    "Interrogate: use artists from artists.csv": "Interroga: utilizza artisti dal file artisti.csv",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interroga: include la classifica delle corrispondenze dei tag del modello nei risultati (non ha effetto sulle interrogazioni basate su didascalie).",
+    "Interrogate: num_beams for BLIP": "Interroga: num_beams per BLIP",
+    "Interrogate: minimum description length (excluding artists, etc..)": "Interroga: lunghezza minima della descrizione (esclusi artisti, ecc..)",
+    "Interrogate: maximum description length": "Interroga: lunghezza massima della descrizione",
+    "CLIP: maximum number of lines in text file (0 = No limit)": "CLIP: numero massimo di righe nel file di testo (0 = Nessun limite)",
+    "Interrogate: deepbooru score threshold": "Interroga: soglia del punteggio deepbooru",
+    "Interrogate: deepbooru sort alphabetically": "Interroga: deepbooru ordinato alfabeticamente",
+    "use spaces for tags in deepbooru": "usa gli spazi per i tag in deepbooru",
+    "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "Effettua l'escape (\\) delle parentesi in deepbooru (così vengono usate come parentesi letterali e non per enfatizzare)",
+    "User interface": "Interfaccia Utente",
+    "Show progressbar": "Mostra la barra di avanzamento",
+    "Show image creation progress every N sampling steps. Set 0 to disable.": "Mostra l'avanzamento della generazione dell'immagine ogni N passaggi di campionamento. Impostare a 0 per disabilitare.",
+    "Show previews of all images generated in a batch as a grid": "Mostra le anteprime di tutte le immagini generate in un lotto come una griglia",
+    "Show grid in results for web": "Mostra la griglia nei risultati per il web",
+    "Do not show any images in results for web": "Non mostrare alcuna immagine nei risultati per il web",
+    "Add model hash to generation information": "Aggiungi l'hash del modello alle informazioni sulla generazione",
+    "Add model name to generation information": "Aggiungi il nome del modello alle informazioni sulla generazione",
+    "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Durante la lettura dei parametri di generazione dal testo nell'interfaccia utente (da informazioni PNG o testo incollato), non modificare il modello/checkpoint selezionato.",
+    "Send seed when sending prompt or image to other interface": "Invia il seme quando si invia un prompt o un'immagine a un'altra interfaccia",
+    "Font for image grids that have text": "Font per griglie di immagini con testo",
+    "Enable full page image viewer": "Abilita la visualizzazione delle immagini a pagina intera",
+    "Show images zoomed in by default in full page image viewer": "Mostra le immagini ingrandite per impostazione predefinita nella visualizzazione a pagina intera",
+    "Show generation progress in window title.": "Mostra l'avanzamento della generazione nel titolo della finestra.",
+    "Quicksettings list": "Elenco delle impostazioni rapide",
+    "Localization (requires restart)": "Localizzazione (richiede il riavvio)",
+    "ar_AR": "ar_AR",
+    "de_DE": "de_DE",
+    "es_ES": "es_ES",
+    "fr-FR": "fr-FR",
+    "it_IT": "it_IT",
+    "ja_JP": "ja_JP",
+    "ko_KR": "ko_KR",
+    "pt_BR": "pt_BR",
+    "ru_RU": "ru_RU",
+    "tr_TR": "tr_TR",
+    "zh_CN": "zh_CN",
+    "zh_TW": "zh_TW",
+    "Sampler parameters": "Parametri del campionatore",
+    "Hide samplers in user interface (requires restart)": "Nascondi campionatori nell'interfaccia utente (richiede il riavvio)",
+    "eta (noise multiplier) for DDIM": "ETA (moltiplicatore di rumore) per DDIM",
+    "eta (noise multiplier) for ancestral samplers": "ETA (moltiplicatore di rumore) per campionatori ancestrali",
+    "img2img DDIM discretize": "discretizzazione DDIM per img2img",
+    "uniform": "uniforme",
+    "quad": "quad",
+    "sigma churn": "sigma churn",
+    "sigma tmin": "sigma tmin",
+    "sigma noise": "sigma noise",
+    "Eta noise seed delta": "ETA del delta del seme del rumore",
+    "Aesthetic Image Scorer": "Punteggio delle immagini estetiche",
+    "Save score as EXIF or PNG Info Chunk": "Salva il punteggio come info EXIF o PNG",
+    "Save score as tag (Windows Only)": "Salva punteggio come etichetta (solo Windows)",
+    "Force CPU (Requires Custom Script Reload)": "Forza CPU (richiede il ricaricamento dello script personalizzato)",
+    "Number of columns on image gallery": "Numero di colonne nella galleria di immagini",
+    "Images Browser": "Galleria immagini",
+    "Preload images at startup": "Precarica le immagini all'avvio",
+    "Number of columns on the page": "Numero di colonne nella pagina",
+    "Number of rows on the page": "Numero di righe nella pagina",
+    "Minimum number of pages per load": "Numero minimo di pagine da caricare",
+    "Maximum number of samples, used to determine which folders to skip when continue running the create script": "Numero massimo di campioni, utilizzato per determinare quali cartelle ignorare quando si continua a eseguire lo script di creazione",
+    "Use same seed for all images": "Usa lo stesso seme per tutte le immagini",
+    "Request browser notifications": "Richiedi le notifiche del browser",
+    "Download localization template": "Scarica il modello per la localizzazione",
+    "Reload custom script bodies (No ui updates, No restart)": "Ricarica gli script personalizzati (nessun aggiornamento dell'interfaccia utente, nessun riavvio)",
+    "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "Riavvia Gradio e aggiorna i componenti (solo script personalizzati, ui.py, js e css)",
+    "Prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt (premi Ctrl+Invio o Alt+Invio per generare)",
+    "Negative prompt (press Ctrl+Enter or Alt+Enter to generate)": "Prompt negativo (premere Ctrl+Invio o Alt+Invio per generare)",
+    "Add a random artist to the prompt.": "Aggiungi un artista casuale al prompt.",
+    "Read generation parameters from prompt or last generation if prompt is empty into user interface.": "Leggere i parametri di generazione dal prompt o dall'ultima generazione se il prompt è vuoto ed inserirli nell'interfaccia utente.",
+    "Save style": "Salva stile",
+    "Apply selected styles to current prompt": "Applica gli stili selezionati al prompt corrente",
+    "Stop processing current image and continue processing.": "Interrompe l'elaborazione dell'immagine corrente e continua l'elaborazione.",
+    "Stop processing images and return any results accumulated so far.": "Interrompe l'elaborazione delle immagini e restituisce tutti i risultati accumulati finora.",
+    "Style to apply; styles have components for both positive and negative prompts and apply to both": "Stile da applicare; gli stili hanno componenti sia per i prompt positivi che per quelli negativi e si applicano a entrambi",
+    "Do not do anything special": "Non fa nulla di speciale",
+    "Which algorithm to use to produce the image": "Quale algoritmo utilizzare per produrre l'immagine",
+    "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - molto creativo, si può ottenere un'immagine completamente diversa a seconda del numero di passi, impostare i passi su un valore superiore a 30-40 non aiuta",
+    "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - il migliore per inpainting",
+    "Produce an image that can be tiled.": "Produce un'immagine che può essere piastrellata.",
+    "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "Utilizza un processo in due fasi per creare parzialmente un'immagine con una risoluzione inferiore, aumentare la scala e quindi migliorarne i dettagli senza modificare la composizione",
+    "Determines how little respect the algorithm should have for image's content. At 0, nothing will change, and at 1 you'll get an unrelated image. With values below 1.0, processing will take less steps than the Sampling Steps slider specifies.": "Determina quanto poco l'algoritmo dovrebbe rispettare dovrebbe il contenuto dell'immagine. A 0, non cambierà nulla e a 1 otterrai un'immagine non correlata. Con valori inferiori a 1.0 l'elaborazione richiederà meno passaggi di quelli specificati dalla barra di scorrimento dei passi di campionamento.",
+    "How many batches of images to create": "Quanti lotti di immagini generare",
+    "How many image to create in a single batch": "Quante immagini generare in un singolo lotto",
+    "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results": "Classifier Free Guidance Scale - quanto fortemente l'immagine deve conformarsi al prompt: valori più bassi producono risultati più creativi",
+    "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result": "Un valore che determina l'output del generatore di numeri casuali: se create un'immagine con gli stessi parametri e seme di un'altra immagine, otterrete lo stesso risultato",
+    "Set seed to -1, which will cause a new random number to be used every time": "Imposta il seme su -1, che farà sì che ogni volta venga utilizzato un nuovo numero casuale",
+    "Reuse seed from last generation, mostly useful if it was randomed": "Riusa il seme dell'ultima generazione, utile soprattutto se casuale",
+    "Seed of a different picture to be mixed into the generation.": "Seme di un'immagine diversa da miscelare nella generazione.",
+    "How strong of a variation to produce. At 0, there will be no effect. At 1, you will get the complete picture with variation seed (except for ancestral samplers, where you will just get something).": "Quanto è forte la variazione da produrre. A 0, non ci sarà alcun effetto. A 1, otterrai l'intera immagine con il seme della variazione (tranne per i campionatori ancestrali, dove otterrai solo una leggera variazione).",
+    "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Prova a produrre un'immagine simile a quella che sarebbe stata prodotta con lo stesso seme alla risoluzione specificata",
+    "This text is used to rotate the feature space of the imgs embs": "Questo testo viene utilizzato per ruotare lo spazio delle funzioni delle immagini incorporate",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Quante volte ripetere l'elaborazione di un'immagine e utilizzarla come input per l'iterazione successiva",
+    "Enter one prompt per line. Blank lines will be ignored.": "Immettere un prompt per riga. Le righe vuote verranno ignorate.",
+    "Separate values for X axis using commas.": "Separare i valori per l'asse X usando le virgole.",
+    "Separate values for Y axis using commas.": "Separare i valori per l'asse Y usando le virgole.",
+    "Separate a list of words with commas, and the script will make a variation of prompt with those words for their every possible order": "Separa un elenco di parole con virgole e lo script eseguirà una variazione di prompt con quelle parole per ogni loro possibile ordine",
+    "Write image to a directory (default - log/images) and generation parameters into csv file.": "Salva l'immagine/i in una cartella (predefinita - log/images) ed i parametri di generazione in un file CSV.",
+    "Open images output directory": "Apri la cartella di output delle immagini",
+    "How much to blur the mask before processing, in pixels.": "Quanto sfocare la maschera prima dell'elaborazione, in pixel.",
+    "What to put inside the masked area before processing it with Stable Diffusion.": "Cosa mettere all'interno dell'area mascherata prima di elaborarla con Stable Diffusion.",
+    "fill it with colors of the image": "riempi con i colori dell'immagine",
+    "keep whatever was there originally": "conserva tutto ciò che c'era in origine",
+    "fill it with latent space noise": "riempi di rumore spaziale latente",
+    "fill it with latent space zeroes": "riempi con zeri di spazio latente",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Ingrandisce la regione mascherata per raggiungere la risoluzione, esegue la pittura, riduce la scala e incolla nell'immagine originale",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Ridimensiona l'immagine alla risoluzione di destinazione. A meno che altezza e larghezza non corrispondano, otterrai proporzioni errate.",
+    "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Ridimensionare l'immagine in modo che l'intera risoluzione di destinazione sia riempita con l'immagine. Ritaglia le parti che sporgono.",
+    "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Ridimensiona l'immagine in modo che l'intera immagine rientri nella risoluzione di destinazione. Riempi lo spazio vuoto con i colori dell'immagine.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Per l'upscaling SD, quanta sovrapposizione in pixel dovrebbe esserci tra le piastrelle. Le piastrelle si sovrappongono in modo che quando vengono unite nuovamente in un'immagine, non ci siano giunture chiaramente visibili.",
+    "Process an image, use it as an input, repeat.": "Elabora un'immagine, usala come input, ripeti.",
+    "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "In modalità rielaborazione ricorsiva, su ogni ciclo la forza di denoising viene moltiplicata per questo valore. <1 significa varietà decrescente in modo che la sequenza converga su un'immagine fissa. >1 significa aumentare la varietà in modo che la tua sequenza diventi sempre più caotica.",
+    "A directory on the same machine where the server is running.": "Una cartella sulla stessa macchina su cui è in esecuzione il server.",
+    "Leave blank to save images to the default path.": "Lascia vuoto per salvare le immagini nel percorso predefinito.",
+    "Result = A * (1 - M) + B * M": "Risultato = A * (1 - M) + B * M",
+    "Result = A + (B - C) * M": "Risultato = A + (B - C) * M",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "La prima e l'ultima cifra devono essere 1. Es.:'1, 2, 1'",
+    "Path to directory with input images": "Percorso della cartella con immagini di input",
+    "Path to directory where to write outputs": "Percorso della cartella in cui scrivere i risultati",
+    "C:\\directory\\of\\datasets": "C:\\cartella\\del\\dataset",
+    "Input images directory": "Cartella di input delle immagini",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Usa i seguenti tag per definire come vengono scelti i nomi dei file per le immagini: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed ], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; lasciare vuoto per usare l'impostazione predefinita.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se questa opzione è abilitata, la filigrana non verrà aggiunta alle immagini create. Attenzione: se non aggiungi la filigrana, potresti comportarti in modo non etico.",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.": "Utilizzare i seguenti tag per definire come vengono scelte le sottodirectory per le immagini e le griglie: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; lasciare vuoto per usare l'impostazione predefinita.",
+    "Restore low quality faces using GFPGAN neural network": "Ripristina volti di bassa qualità utilizzando la rete neurale GFPGAN",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Questa espressione regolare verrà utilizzata per estrarre le parole dal nome del file e verranno unite utilizzando l'opzione seguente nel testo dell'etichetta utilizzato per l'addestramento. Lascia vuoto per mantenere il testo del nome del file così com'è.",
+    "This string will be used to join split words into a single line if the option above is enabled.": "Questa stringa verrà utilizzata per unire le parole divise in un'unica riga se l'opzione sopra è abilitata.",
+    "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "Si applica solo ai modelli di pittura. Determina con quale forza mascherare l'immagine originale per inpainting e img2img. 1.0 significa completamente mascherato, che è il comportamento predefinito. 0.0 significa un condizionamento completamente non mascherato. Valori più bassi aiuteranno a preservare la composizione generale dell'immagine, ma avranno difficoltà con grandi cambiamenti.",
+    "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Elenco dei nomi delle impostazioni, separati da virgole, per le impostazioni che dovrebbero essere visualizzate nella barra di accesso rapido in alto, anziché nella normale scheda delle impostazioni. Vedi modules/shared.py per impostare i nomi. Richiede il riavvio per applicare.",
+    "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Se questo valore è diverso da zero, verrà aggiunto al seed e utilizzato per inizializzare il generatore di numeri casuali per il rumore quando si utilizzano campionatori con ETA. Puoi usarlo per produrre ancora più variazioni di immagini, oppure puoi usarlo per abbinare le immagini di altri software se sai cosa stai facendo."
+}
\ No newline at end of file

From 4ae575853fd3855d219d28363b745a4998244d48 Mon Sep 17 00:00:00 2001
From: Martucci <73501718+M-art-ucci@users.noreply.github.com>
Date: Sat, 29 Oct 2022 19:23:05 -0300
Subject: [PATCH 307/321] Final commit for october (19:22) / 22

---
 localizations/pt_BR.json | 76 ++++++++++++++++++++--------------------
 1 file changed, 38 insertions(+), 38 deletions(-)

diff --git a/localizations/pt_BR.json b/localizations/pt_BR.json
index 49d71edc..56281105 100644
--- a/localizations/pt_BR.json
+++ b/localizations/pt_BR.json
@@ -5,10 +5,10 @@
     "❮": "❮",
     "❯": "❯",
     "Loading...": "Carregando...",
-    "view": "ver ",
+    "view": "ver",
     "api": "api",
     "•": "•",
-    "built with gradio": "Criado com gradio",
+    "built with gradio": "criado com gradio",
     "Stable Diffusion checkpoint": "Stable Diffusion checkpoint",
     "txt2img": "txt2img",
     "img2img": "img2img",
@@ -27,14 +27,14 @@
     "Style 2": "Estilo 2",
     "Label": "Rótulo",
     "File": "Arquivo",
-    "Drop File Here": "Coloque aqui o arquivo",
+    "Drop File Here": "Solte Aqui o Arquivo",
     "-": "-",
     "or": "ou",
-    "Click to Upload": "Clique para carregar um arquivo",
+    "Click to Upload": "Clique para Carregar um Arquivo",
     "Image": "Imagem",
     "Check progress": "Checar progresso",
     "Check progress (first)": "Checar progresso (primeiro)",
-    "Sampling Steps": "Passos de amostragem",
+    "Sampling Steps": "Passos de Amostragem",
     "Sampling method": "Método de amostragem",
     "Euler a": "Euler a",
     "Euler": "Euler",
@@ -68,13 +68,13 @@
     "Resize seed from height": "Redimensionar a seed a partir da altura",
     "Script": "Script",
     "None": "Nenhum",
-    "Prompt matrix": "Matriz de Prompt",
+    "Prompt matrix": "Matriz de prompt",
     "Prompts from file or textbox": "Prompts a partir de arquivo ou caixa de texto",
     "X/Y plot": "X/Y plot",
     "Put variable parts at start of prompt": "Coloca partes variáveis no começo do prompt",
     "Iterate seed every line": "Iterar seed a cada linha",
-    "List of prompt inputs": "Lista de entradas de texto para prompt",
-    "Upload prompt inputs": "Carregar entradas de textos para prompts",
+    "List of prompt inputs": "Lista de entrada de texto para prompt",
+    "Upload prompt inputs": "Carregar entrada de texto para prompt",
     "X type": "Tipo do X",
     "Nothing": "Nenhum",
     "Var. seed": "Var. seed",
@@ -99,7 +99,7 @@
     "Draw legend": "Desenhar a legenda",
     "Include Separate Images": "Incluir Imagens Separadas",
     "Keep -1 for seeds": "Manter em -1 para seeds",
-    "Drop Image Here": "Coloque a imagem aqui",
+    "Drop Image Here": "Solte a imagem aqui",
     "Save": "Salvar",
     "Send to img2img": "Mandar para img2img",
     "Send to inpaint": "Mandar para inpaint",
@@ -137,29 +137,29 @@
     "img2img alternative test": "Teste alternativo de img2img",
     "Loopback": "Loopback",
     "Outpainting mk2": "Outpainting mk2",
-    "Poor man's outpainting": "Poor man's outpainting",
+    "Poor man's outpainting": "Poor man`s outpainting",
     "SD upscale": "Ampliamento SD",
     "should be 2 or lower.": "deve ser 2 ou menos.",
-    "Override `Sampling method` to Euler?(this method is built for it)": "Substituir 'Método de amostragem' para Euler? (este método foi feito para isso)",
-    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Substituir 'prompt' para o mesmo valor que o 'prompt original'? (também para o 'prompt negativo')",
+    "Override `Sampling method` to Euler?(this method is built for it)": "Substituir `Método de amostragem` por Euler? (este método foi feito para isso)",
+    "Override `prompt` to the same value as `original prompt`?(and `negative prompt`)": "Substituir `prompt` para o mesmo valor que o `prompt original`? (também para o `prompt negativo`)",
     "Original prompt": "Prompt original",
     "Original negative prompt": "Prompt negativo original",
-    "Override `Sampling Steps` to the same value as `Decode steps`?": "Substituir 'Passos de Amostragem' para o mesmo valor que 'Decodificar Passos'?",
+    "Override `Sampling Steps` to the same value as `Decode steps`?": "Substituir `Passos de Amostragem` para o mesmo valor que `Decodificar Passos`?",
     "Decode steps": "Decode steps",
-    "Override `Denoising strength` to 1?": "Substituir 'Quantidade do Denoise' para 1?",
+    "Override `Denoising strength` to 1?": "Substituir `Quantidade do Denoise` para 1?",
     "Decode CFG scale": "Decodificar escala CFG",
     "Randomness": "Aleatoriedade",
     "Sigma adjustment for finding noise for image": "Ajuste Sigma para encontrar ruído para imagem",
     "Loops": "Loops",
     "Denoising strength change factor": "Fator de mudança na quantidade do Denoise",
-    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Configurações recomendadas",
+    "Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8": "Configurações recomendadas: Passos de amostragem: 80-100: Euler a, força do Denoise: 0.8",
     "Pixels to expand": "Pixels para expandir",
-    "Outpainting direction": "Direção do Outpainting",
+    "Outpainting direction": "Direção do outpainting",
     "left": "esquerda",
     "right": "direita",
     "up": "cima",
     "down": "baixo",
-    "Fall-off exponent (lower=higher detail)": "Exponente de queda (menor=mais detalhes)",
+    "Fall-off exponent (lower=higher detail)": "Expoente de queda (menor=mais detalhes)",
     "Color variation": "Variação de cor",
     "Will upscale the image to twice the dimensions; use width and height sliders to set tile size": "Amplia a imagem em dobro; ajusta a largura e altura para definir o tamanho do ladrilho",
     "Tile overlap": "Sobreposição de ladrilho",
@@ -191,9 +191,9 @@
     "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "Peso do CodeFormer (0 = efeito máximo, 1 = efeito mínimo)",
     "Open output directory": "Abrir diretório de saída",
     "Send to txt2img": "Mandar para txt2img",
-    "A merger of the two checkpoints will be generated in your": "Uma fusão dos dois checkpoints será gerada em seu ",
+    "A merger of the two checkpoints will be generated in your": "Uma fusão dos dois checkpoints será gerada em seu",
     "checkpoint": "checkpoint",
-    "directory.": " diretório.",
+    "directory.": "diretório.",
     "Primary model (A)": "Modelo primário (A)",
     "Secondary model (B)": "Modelo secundário (B)",
     "Tertiary model (C)": "Modelo terciário (C)",
@@ -257,7 +257,7 @@
     "Overwrite Old Hypernetwork": "Sobrescrever Hypernetwork Anterior",
     "Source directory": "Diretório de origem",
     "Destination directory": "Diretório de destino",
-    "Existing Caption txt Action": "Ação de legenda txt já existente",
+    "Existing Caption txt Action": "Ação de Título txt Já Existente",
     "ignore": "ignorar",
     "copy": "copiar",
     "prepend": "adicionar ao início",
@@ -305,9 +305,9 @@
     "Create a text file next to every image with generation parameters.": "Criar um arquivo de texto com informações de geração junto a cada imagem gerada.",
     "Save a copy of image before doing face restoration.": "Salva uma cópia de cada imagem antes do refinamento facial.",
     "Quality for saved jpeg images": "Qualidade das imagens jpeg",
-    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Se a imagem PNG for maior que 4MB ou qualquer dimensão mair que 4000, diminuir e salvar uma cópia em JPG",
+    "If PNG image is larger than 4MB or any dimension is larger than 4000, downscale and save copy as JPG": "Se a imagem PNG for maior que 4MB ou qualquer dimensão maior que 4000, diminuir e salvar uma cópia em JPG",
     "Use original name for output filename during batch process in extras tab": "Usar o nome original para os arquivos de output durante o processo de levas da aba Extras",
-    "When using 'Save' button, only save a single selected image": "Quando usar o botão 'Salvar', somente salvar as imagens selecionadas.",
+    "When using 'Save' button, only save a single selected image": "Quando usar o botão `Salvar`, somente salvar as imagens selecionadas.",
     "Do not add watermark to images": "Não adicionar marca dágua nas imagens",
     "Paths for saving": "Caminhos para salvar",
     "Output directory for images; if empty, defaults to three directories below": "Diretório de saída para imagens; se deixado em branco, as imagens vao para os seguintes diretórios",
@@ -327,7 +327,7 @@
     "Upscaling": "Ampliando",
     "Tile size for ESRGAN upscalers. 0 = no tiling.": "Tamanho do ladrilho para ampliação ESRGAN. 0 = sem ladrilho.",
     "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.": "Sobreposição de azulejo, em pixels, para amplicação  ESRGAN. Valores baixos = linhas de fusão mais aparente.",
-    "Tile size for all SwinIR.": "Tamanho do azulejo para todo SwinIR.",
+    "Tile size for all SwinIR.": "Tamanho do ladrilho para todo SwinIR.",
     "Tile overlap, in pixels for SwinIR. Low values = visible seam.": "Sobreposição de azulejo, em pixels,  para SwinIR. Valores baixos = junção mais aparente.",
     "LDSR processing steps. Lower = faster": "Steps de processamento LDSR. Menos = rápido",
     "Upscaler for img2img": "Ampliação para img2img",
@@ -348,11 +348,11 @@
     "Stable Diffusion": "Stable Diffusion",
     "Checkpoints to cache in RAM": "Checkpoints para manter no cache da RAM",
     "Hypernetwork strength": "Força da Hypernetwork",
-    "Apply color correction to img2img results to match original colors.": "Aplicar correção de cor nas imagens geradas em img2img, usando a imagem original como base. Recomendação: se marcar essa opção, marcar também a de baixo",
+    "Apply color correction to img2img results to match original colors.": "Aplicar correção de cor nas imagens geradas em img2img, usando a imagem original como base.",
     "Save a copy of image before applying color correction to img2img results": "Salvar uma cópia das imagens geradas em img2img antes de aplicar a correção de cor",
     "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising).": "Durante gerações img2img, fazer examente o número de steps definidos na barra (normalmente você faz menos steps com denoising menor).",
     "Enable quantization in K samplers for sharper and cleaner results. This may change existing seeds. Requires restart to apply.": "Ativar quantização em K samples para resultados mais nítidos e visíveis. Pode alterar seeds ja existentes. Precisa reiniciar para funcionar.",
-    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Ênfase: usar parênteses ao redor de palavras (texto de exemplo) para fazer o modelo dar mais atenção par aquela palavra ou frase, e chaves [texto de exemplo] para tirar atenção",
+    "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "Ênfase: usar parênteses ao redor de palavras (texto de exemplo) para fazer o modelo dar mais atenção para aquela palavra ou frase, e chaves [texto de exemplo] para tirar atenção",
     "Use old emphasis implementation. Can be useful to reproduce old seeds.": "Usar método anterior de implementação de ênfase. Útil para reproduzir seeds antigas.",
     "Make K-diffusion samplers produce same images in a batch as when making a single image": "Faz as amostragens K-diffusion produzirem imagens iguais em lotes quando criando uma única imagem",
     "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens": "Aumenta a coerência por preenchimento apartir da ultima vírgula dentro de n tokens quando usando mais de 75 tokens",
@@ -361,7 +361,7 @@
     "Interrogate Options": "Opções de Interrogatório",
     "Interrogate: keep models in VRAM": "Interrogar: manter modelos na VRAM",
     "Interrogate: use artists from artists.csv": "Interrogar: usa artistas e estilos do documento artists.csv",
-    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir classificação de tags de modelo combinando nos resultados(Não tem efeito na interrogação feita por legenda).",
+    "Interrogate: include ranks of model tags matches in results (Has no effect on caption-based interrogators).": "Interrogar: incluir classificação de tags de modelo combinando nos resultados (Não tem efeito na interrogação feita por legenda).",
     "Interrogate: num_beams for BLIP": "Interrogar: num_beams para BLIP",
     "Interrogate: minimum description length (excluding artists, etc..)": "Interrogar: tamanho mínimo da descrição (tirando artistas, etc..)",
     "Interrogate: maximum description length": "Interrogar: tamanho máximo da descrição",
@@ -370,7 +370,7 @@
     "Interrogate: deepbooru sort alphabetically": "Interrogar: organizar deepbooru por ordem alfabética",
     "use spaces for tags in deepbooru": "usar espaços para tags em deepbooru",
     "escape (\\) brackets in deepbooru (so they are used as literal brackets and not for emphasis)": "espaço (\\) colchetes em deepbooru (são usados como colchetes ao invés de dar ênfase)",
-    "User interface": "Interface de Usuário",
+    "User interface": "Interface de usuário",
     "Show progressbar": "Mostrar barra de progresso",
     "Show image creation progress every N sampling steps. Set 0 to disable.": "Mostrar a criação de imagens a cada N sampling steps. Em 1 já dá para ver o processo de geração. Marcar como 0 para desativar.",
     "Show previews of all images generated in a batch as a grid": "Mostrar previsualização de todas as imagens geradas em leva numa grade",
@@ -379,7 +379,7 @@
     "Add model hash to generation information": "Adicionar hash do modelo para informação de geração",
     "Add model name to generation information": "Adicionar nome do modelo para informação de geração",
     "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "Quando ler parâmetros de texto para a interface (de informações de PNG ou texto copiado), não alterar o modelo/intervalo selecionado.",
-    "Font for image grids that have text": "Fonte para grade de imagenss que tem texto",
+    "Font for image grids that have text": "Fonte para grade de imagens que têm texto",
     "Enable full page image viewer": "Ativar visualizador de página inteira",
     "Show images zoomed in by default in full page image viewer": "Mostrar imagens com zoom por definição no visualizador de página inteira",
     "Show generation progress in window title.": "Mostrar barra de progresso no nome da janela.",
@@ -443,25 +443,25 @@
     "keep whatever was there originally": "manter usando o que estava lá originalmente",
     "fill it with latent space noise": "Preenche com ruídos do espaço latente.",
     "fill it with latent space zeroes": "Preenche com zeros do espaço latente.",
-    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Faz ampliação na região com máscara para atingir a resolução desejada, faz inpainting, faz downscale para voltar na resolução original e cola na imagem original",
-    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Redimensiona a imagem para a resolução desejada. A menos que a altura e a largura correspondam, você obterá uma proporção incorreta.",
+    "Upscale masked region to target resolution, do inpainting, downscale back and paste into original image": "Faz ampliação na região com máscara para atingir a resolução desejada, faz inpainting, faz downscale para voltar à resolução original e cola na imagem original",
+    "Resize image to target resolution. Unless height and width match, you will get incorrect aspect ratio.": "Redimensiona a imagem para a resolução desejada. A menos que a altura e a largura sejam iguais, você obterá uma proporção incorreta.",
     "Resize the image so that entirety of target resolution is filled with the image. Crop parts that stick out.": "Redimensiona a imagem para que toda a resolução desejada seja preenchida com a imagem. Corta as partes que ficaram pra fora.",
     "Resize the image so that entirety of image is inside target resolution. Fill empty space with image's colors.": "Redimensiona a imagem para que toda a imagem esteja dentro da resolução desejada. Preenche o espaço vazio com as cores da imagem.",
-    "How many times to repeat processing an image and using it as input for the next iteration": "Quantas vezes vai repetir o processamento de uma imagem e usá-la como entrada para a próxima iteração",
+    "How many times to repeat processing an image and using it as input for the next iteration": "Número de vezes que vai repetir o processamento da imagem e usar como entrada para a próxima iteração",
     "In loopback mode, on each loop the denoising strength is multiplied by this value. <1 means decreasing variety so your sequence will converge on a fixed picture. >1 means increasing variety so your sequence will become more and more chaotic.": "No modo de loopback, em cada loop a força do denoise é multiplicado por este valor. <1 significa diminuir a variedade para que sua sequência converta em uma imagem fixa. >1 significa aumentar a variedade para que sua sequência se torne cada vez mais caótica.",
-    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Para ampliação SD, quanta sobreposição em pixels deve haver entre os ladrilhos. Os ladrilhos se sobrepõem para que, quando forem mesclados de volta em uma imagem, não haja linhas de junção claramente visível.",
-    "A directory on the same machine where the server is running.": "Um diretório na mesma máquina onde o server está rodando.",
+    "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "Para ampliação SD, quantidade de sobreposição em pixels que deve haver entre os ladrilhos. Os ladrilhos se sobrepõem para que, quando forem mesclados de volta em uma imagem, não haja linhas de junção claramente visíveis.",
+    "A directory on the same machine where the server is running.": "Um diretório na mesma máquina onde o servidor está rodando.",
     "Leave blank to save images to the default path.": "Deixar em branco para salvar imagens no caminho padrão.",
     "Result = A * (1 - M) + B * M": "Resultado = A * (1 - M) + B * M",
     "Result = A + (B - C) * M": "Resultado = A + (B - C) * M",
-    "1st and last digit must be 1. ex:'1, 2, 1'": "Primeiro e último dígito precisam ser 1. ex:'1, 2, 1'",
+    "1st and last digit must be 1. ex:'1, 2, 1'": "Primeiro e último dígito precisam ser 1. ex:`1, 2, 1`",
     "Path to directory with input images": "Caminho para o diretório com imagens de entrada",
     "Path to directory where to write outputs": "Caminho para o diretório para gravar as saídas",
-    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos arquivos sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrao.",
-    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se esta opção estiver marcada, as imagens não vão ter marca d'água. Aviso: se você não quer a marca d'água, você pode estar se envolvendo em comportamentos antiéticos",
-    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos subdiretorios e ghrades sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrao.",
+    "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos arquivos sao escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrão.",
+    "If this option is enabled, watermark will not be added to created images. Warning: if you do not add watermark, you may be behaving in an unethical manner.": "Se esta opção estiver marcada, as imagens não vão ter marca d`água. Aviso: se você não quer a marca d`água, você pode estar se envolvendo em comportamentos antiéticos",
+    "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "Usa essas tags para definir como os nomes dos subdiretorios e grades são escolhidos: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; deixe em branco para manter o padrão.",
     "Restore low quality faces using GFPGAN neural network": "Restaurar rostos de baixa qualidade usando a rede neural GFPGAN",
-    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Esta expressão regular vai retirar palavras do nome do arquivo e vai se juntar usando a opção abaixo em etiquetas usadas em treinamento. Não mexer para manter os nomes como estão.",
+    "This regular expression will be used extract words from filename, and they will be joined using the option below into label text used for training. Leave empty to keep filename text as it is.": "Esta expressão regular vai retirar palavras do nome do arquivo e serão juntadas via regex usando a opção abaixo em etiquetas usadas em treinamento. Não mexer para manter os nomes como estão.",
     "This string will be used to join split words into a single line if the option above is enabled.": "Esta string será usada para unir palavras divididas em uma única linha se a opção acima estiver habilitada.",
     "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "Lista de nomes de configurações, separados por vírgulas, para configurações que devem ir para a barra de acesso rápido na parte superior, em vez da guia de configuração usual. Veja modules/shared.py para nomes de configuração. Necessita reinicialização para aplicar.",
     "If this values is non-zero, it will be added to seed and used to initialize RNG for noises when using samplers with Eta. You can use this to produce even more variation of images, or you can use this to match images of other software if you know what you are doing.": "Se este valor for diferente de zero, ele será adicionado à seed e usado para inicializar o RNG para ruídos ao usar amostragens com Tempo Estimado. Você pode usar isso para produzir ainda mais variações de imagens ou pode usar isso para combinar imagens de outro software se souber o que está fazendo."

From 3d9dd6c18439b58e16badc281d5560b1a6c53934 Mon Sep 17 00:00:00 2001
From: "Modar M. Alfadly" <modar.alfadly@gmail.com>
Date: Sun, 30 Oct 2022 02:03:15 +0300
Subject: [PATCH 308/321] Update ar_AR.json

---
 localizations/ar_AR.json | 102 +++++++++++++++++++++++++++++++++++++--
 1 file changed, 98 insertions(+), 4 deletions(-)

diff --git a/localizations/ar_AR.json b/localizations/ar_AR.json
index 271ebb87..abbbcff4 100644
--- a/localizations/ar_AR.json
+++ b/localizations/ar_AR.json
@@ -26,8 +26,21 @@
   "Sampling Steps": "عدد الخطوات",
   "Sampling method": "أسلوب الخطو",
   "Which algorithm to use to produce the image": "Sampler: اسم نظام تحديد طريقة تغيير المسافات بين الخطوات",
+  "Euler a": "Euler a",
   "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral: طريقة مبدعة يمكن أن تنتج صور مختلفة على حسب عدد الخطوات، لا تتغير بعد 30-40 خطوة",
+  "Euler": "Euler",
+  "LMS": "LMS",
+  "Heun": "Heun",
+  "DPM2": "DPM2",
+  "DPM2 a": "DPM2 a",
+  "DPM fast": "DPM fast",
+  "DPM adaptive": "DPM adaptive",
+  "LMS Karras": "LMS Karras",
+  "DPM2 Karras": "DPM2 Karras",
+  "DPM2 a Karras": "DPM2 a Karras",
+  "DDIM": "DDIM",
   "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models: الأفضل في الإنتاج الجزئي",
+  "PLMS": "PLMS",
   "Width": "العرض",
   "Height": "الإرتفاع",
   "Restore faces": "تحسين الوجوه",
@@ -58,6 +71,7 @@
   "Resize seed from height": "إرتفاع الممزوج",
   "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "Seed resize from: حدد دقة صورة الممزوج (0: نفس دقة الإنتاج)",
   "Open for Clip Aesthetic!": "تضمين تجميلي",
+  "▼": "▼",
   "Aesthetic weight": "أثر التضمين",
   "Aesthetic steps": "عدد الخطوات",
   "Aesthetic learning rate": "معدل التعلم",
@@ -79,7 +93,6 @@
   "-": "-",
   "or": "أو",
   "Click to Upload": "انقر للرفع",
-  "Prompts": "قائمة الطلبات",
   "X/Y plot": "مصفوفة عوامل",
   "X type": "العامل الأول",
   "Nothing": "لا شيء",
@@ -92,6 +105,8 @@
   "Checkpoint name": "ملف الأوزان",
   "Hypernetwork": "الشبكة الفائقة",
   "Hypernet str.": "قوة الشبكة الفائقة",
+  "Inpainting conditioning mask strength": "قوة قناع الإنتاج الجزئي",
+  "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.": "حدد مدى صرامة قناع الإنتاج، يصبح القناع شفاف إذا قوته 0 (لا يعمل إلا مع ملفات أوزان الإنتاج الجزئي: inpainting)",
   "Sigma Churn": "العشوائية (Schurn)",
   "Sigma min": "أدنى تشويش (Stmin)",
   "Sigma max": "أقصى تشويش (Stmax)",
@@ -99,6 +114,7 @@
   "Eta": "العامل Eta η",
   "Clip skip": "تخطي آخر طبقات CLIP",
   "Denoising": "المدى",
+  "Cond. Image Mask Weight": "قوة قناع الإنتاج الجزئي",
   "X values": "قيم العامل الأول",
   "Separate values for X axis using commas.": "افصل القيم بفواصل (,) من اليسار إلى اليمين",
   "Y type": "العامل الثاني",
@@ -168,6 +184,12 @@
   "Tile overlap": "تداخل النافذة",
   "For SD upscale, how much overlap in pixels should there be between tiles. Tiles overlap so that when they are merged back into one picture, there is no clearly visible seam.": "المكبر ينظر إلى أجزاء الصورة من خلال نافذة لتكبير المحتوى ثم ينتقل إلى الجزء المجاور، يفضل أن يكون هناك تداخل بين كل رقعة لكي لا يكون هناك اختلاف واضح بينهم",
   "Upscaler": "طريقة التكبير",
+  "Lanczos": "Lanczos",
+  "LDSR": "LDSR",
+  "ScuNET GAN": "ScuNET GAN",
+  "ScuNET PSNR": "ScuNET PSNR",
+  "ESRGAN_4x": "ESRGAN_4x",
+  "SwinIR 4x": "SwinIR 4x",
   "Inpaint": "إنتاج جزئي",
   "Draw mask": "ارسم القناع",
   "Upload mask": "ارفع القناع",
@@ -192,6 +214,7 @@
   "GFPGAN visibility": "أثر GFPGAN (محسن وجوه)",
   "CodeFormer visibility": "أثر CodeFormer (محسن وجوه)",
   "CodeFormer weight (0 = maximum effect, 1 = minimum effect)": "وزن CodeFormer (يزيد التفاصيل على حساب الجودة)",
+  "Upscale Before Restoring Faces": "كبر قبل تحسين الوجوه",
   "Scale to": "دقة محددة",
   "Crop to fit": "قص الأطراف الزائدة إذا لم تتناسب الأبعاد",
   "Batch Process": "حزمة صور",
@@ -199,7 +222,6 @@
   "A directory on the same machine where the server is running.": "مسار مجلد صور موجود في جهاز الخادم",
   "Leave blank to save images to the default path.": "اتركه فارغا لاستخدام المسار الإفتراضي",
   "Show result images": "اعرض الصور الناتجة",
-  "Open output directory": "افتح مجلد المخرجات",
   "PNG Info": "عوامل الصورة",
   "Send to txt2img": "أرسل لنص إلى صورة",
   "Checkpoint Merger": "مزج الأوزان",
@@ -232,7 +254,41 @@
   "Enter hypernetwork layer structure": "ترتيب مضاعفات عرض الطبقات",
   "1st and last digit must be 1. ex:'1, 2, 1'": "المضاعفين الأول والأخير يجب أن يكونا 1، مثال: 1, 2, 1",
   "Select activation function of hypernetwork": "دالة التنشيط",
+  "linear": "linear",
+  "relu": "relu",
+  "leakyrelu": "leakyrelu",
+  "elu": "elu",
+  "swish": "swish",
+  "tanh": "tanh",
+  "sigmoid": "sigmoid",
+  "celu": "celu",
+  "gelu": "gelu",
+  "glu": "glu",
+  "hardshrink": "hardshrink",
+  "hardsigmoid": "hardsigmoid",
+  "hardtanh": "hardtanh",
+  "logsigmoid": "logsigmoid",
+  "logsoftmax": "logsoftmax",
+  "mish": "mish",
+  "prelu": "prelu",
+  "rrelu": "rrelu",
+  "relu6": "relu6",
+  "selu": "selu",
+  "silu": "silu",
+  "softmax": "softmax",
+  "softmax2d": "softmax2d",
+  "softmin": "softmin",
+  "softplus": "softplus",
+  "softshrink": "softshrink",
+  "softsign": "softsign",
+  "tanhshrink": "tanhshrink",
+  "threshold": "threshold",
   "Select Layer weights initialization. relu-like - Kaiming, sigmoid-like - Xavier is recommended": "تهيئة الأوزان (استخدم Kaiming مع relu وأمثالها وXavier مع sigmoid وأمثالها)",
+  "Normal": "Normal",
+  "KaimingUniform": "KaimingUniform",
+  "KaimingNormal": "KaimingNormal",
+  "XavierUniform": "XavierUniform",
+  "XavierNormal": "XavierNormal",
   "Add layer normalization": "أضف تسوية الطبقات (LayerNorm)",
   "Use dropout": "استخدم الإسقاط (Dropout)",
   "Overwrite Old Hypernetwork": "استبدل الشبكة الفائقة القديمة",
@@ -393,6 +449,7 @@
   "Add model hash to generation information": "أضف رمز تهشير (Hash) ملف الأوزان لعوامل الإنتاج",
   "Add model name to generation information": "أضف اسم ملف الأوزان لعوامل الإنتاج",
   "When reading generation parameters from text into UI (from PNG info or pasted text), do not change the selected model/checkpoint.": "لا تغير الأوزان المختارة عند قراءة عوامل الإنتاج من صورة أو من ملف",
+  "Send seed when sending prompt or image to other interface": "عند إرسال صورة أو طلب ألحق البذرة أيضا",
   "Font for image grids that have text": "نوع الخط في جداول الصور التي تحتوي على نصوص",
   "Enable full page image viewer": "اسمح بعرض الصور في وضع ملئ الشاشة",
   "Show images zoomed in by default in full page image viewer": "اعرض الصور مقربة عند استخدام وضع ملئ الشاشة",
@@ -400,6 +457,18 @@
   "Quicksettings list": "قائمة الإعدادات السريعة",
   "List of setting names, separated by commas, for settings that should go to the quick access bar at the top, rather than the usual setting tab. See modules/shared.py for setting names. Requires restarting to apply.": "قائمة مقسمة بفواصل لأسماء الإعدادات التي يجب أن تظهر في الأعلى لتسهيل الوصول إليها، انظر إلى modules/shared.py لمعرفة الأسماء، يتطلب إعادة تشغيل",
   "Localization (requires restart)": "اللغة (تتطلب إعادة تشغيل)",
+  "pt_BR": "البرتغالية",
+  "zh_CN": "الصينية",
+  "ko_KR": "الكورية",
+  "fr_FR": "الفرنسية",
+  "ru_RU": "الروسية",
+  "ar_AR": "العربية",
+  "tr_TR": "التركية",
+  "it_IT": "الإيطالية",
+  "ja_JP": "اليابانية",
+  "de_DE": "الألمانية",
+  "zh_TW": "الصينية (تايوان)",
+  "es_ES": "الإسبانية",
   "Sampler parameters": "عوامل أساليب الخطو",
   "Hide samplers in user interface (requires restart)": "اخف أساليب الخطو التالية (يتطلب إعادة تشغيل)",
   "eta (noise multiplier) for DDIM": "العامل Eta η لأسلوب الخطو DDIM",
@@ -420,5 +489,30 @@
   "Request browser notifications": "اطلب تنبيهات المتصفح",
   "Download localization template": "حمل ملف اللغة",
   "Reload custom script bodies (No ui updates, No restart)": "أعد تحميل الأدوات الخاصة (بدون واجهة المستخدم ولا يحتاج إعادة تشغيل)",
-  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تشغيل gradio وتحميل الأدوات الخاصة وواجهة المستخدم"
-}
\ No newline at end of file
+  "Restart Gradio and Refresh components (Custom Scripts, ui.py, js and css only)": "أعد تشغيل gradio وتحميل الأدوات الخاصة وواجهة المستخدم",
+  "⤡": "⤡",
+  "⊞": "⊞",
+  "×": "×",
+  "❮": "❮",
+  "❯": "❯",
+  "•": "•",
+  "Label": "Label",
+  "File": "File",
+  "Image": "Image",
+  "Check progress": "Check progress",
+  "Check progress (first)": "Check progress (first)",
+  "Textbox": "Textbox",
+  "Image for img2img": "Image for img2img",
+  "Image for inpainting with mask": "Image for inpainting with mask",
+  "Mask": "Mask",
+  "Mask mode": "Mask mode",
+  "Masking mode": "Masking mode",
+  "Resize mode": "Resize mode",
+  "Prev batch": "Prev batch",
+  "Next batch": "Next batch",
+  "Refresh page": "Refresh page",
+  "Date to": "Date to",
+  "Number": "Number",
+  "set_index": "set_index",
+  "Checkbox": "Checkbox"
+}

From 05a657dd357eaca6940c4775daa946bd33f1167d Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 30 Oct 2022 07:36:56 +0300
Subject: [PATCH 309/321] fix broken hires fix

---
 modules/processing.py | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/modules/processing.py b/modules/processing.py
index 50343846..947ce6fa 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -686,15 +686,12 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
 
         noise = create_random_tensors(samples.shape[1:], seeds=seeds, subseeds=subseeds, subseed_strength=subseed_strength, seed_resize_from_h=self.seed_resize_from_h, seed_resize_from_w=self.seed_resize_from_w, p=self)
 
+        image_conditioning = self.txt2img_image_conditioning(x)
+
         # GC now before running the next img2img to prevent running out of memory
         x = None
         devices.torch_gc()
 
-        image_conditioning = self.img2img_image_conditioning(
-            decoded_samples, 
-            samples, 
-            decoded_samples.new_ones(decoded_samples.shape[0], 1, decoded_samples.shape[2], decoded_samples.shape[3])
-        )
         samples = self.sampler.sample_img2img(self, samples, noise, conditioning, unconditional_conditioning, steps=self.steps, image_conditioning=image_conditioning)
 
         return samples

From 59dfe0845d964868e92572c78a420b6d68c46ea4 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 30 Oct 2022 08:22:44 +0300
Subject: [PATCH 310/321] launch tests from launch.py with --tests commandline
 argument

---
 .gitignore           |  2 ++
 launch.py            | 19 +++++++++++++++++++
 run_tests.bat        | 15 ---------------
 test/extras_test.py  |  6 +++---
 test/img2img_test.py | 12 ++++++------
 test/server_poll.py  | 28 +++++++++++++++-------------
 test/txt2img_test.py |  8 +++++---
 7 files changed, 50 insertions(+), 40 deletions(-)
 delete mode 100644 run_tests.bat

diff --git a/.gitignore b/.gitignore
index 8fa05852..ee53044c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -29,3 +29,5 @@ notification.mp3
 /textual_inversion
 .vscode
 /extensions
+/test/stdout.txt
+/test/stderr.txt
diff --git a/launch.py b/launch.py
index 8affd410..33f98343 100644
--- a/launch.py
+++ b/launch.py
@@ -128,10 +128,12 @@ def prepare_enviroment():
     blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")
 
     sys.argv += shlex.split(commandline_args)
+    test_argv = [x for x in sys.argv if x != '--tests']
 
     sys.argv, skip_torch_cuda_test = extract_arg(sys.argv, '--skip-torch-cuda-test')
     sys.argv, reinstall_xformers = extract_arg(sys.argv, '--reinstall-xformers')
     sys.argv, update_check = extract_arg(sys.argv, '--update-check')
+    sys.argv, run_tests = extract_arg(sys.argv, '--tests')
     xformers = '--xformers' in sys.argv
     deepdanbooru = '--deepdanbooru' in sys.argv
     ngrok = '--ngrok' in sys.argv
@@ -194,6 +196,23 @@ def prepare_enviroment():
         print("Exiting because of --exit argument")
         exit(0)
 
+    if run_tests:
+        tests(test_argv)
+        exit(0)
+
+
+def tests(argv):
+    print(f"Launching Web UI in another process for testing with arguments: {' '.join(argv[1:])}")
+
+    with open('test/stdout.txt', "w", encoding="utf8") as stdout, open('test/stderr.txt', "w", encoding="utf8") as stderr:
+        proc = subprocess.Popen([sys.executable, *argv], stdout=stdout, stderr=stderr)
+
+    import test.server_poll
+    test.server_poll.run_tests()
+
+    print(f"Stopping Web UI process with id {proc.pid}")
+    proc.kill()
+
 
 def start_webui():
     print(f"Launching Web UI with arguments: {' '.join(sys.argv[1:])}")
diff --git a/run_tests.bat b/run_tests.bat
deleted file mode 100644
index 3a63f034..00000000
--- a/run_tests.bat
+++ /dev/null
@@ -1,15 +0,0 @@
-@echo off
-set ERROR_REPORTING=FALSE
-set COMMANDLINE_ARGS= --api
-echo Launching SDWebUI...
-start "SDWebUITest" webui.bat
-
-if not defined PYTHON (set PYTHON=python)
-if not defined VENV_DIR (set VENV_DIR=venv)
-set PYTHON="%~dp0%VENV_DIR%\Scripts\Python.exe"
-%PYTHON% test/server_poll.py
-for /f "tokens=2 delims=," %%a in ('tasklist /v /fo csv ^| findstr /i "SDWebUITest"') do set "$PID=%%a"
-
-taskkill /PID %$PID% >nul 2>&1
-
-pause
diff --git a/test/extras_test.py b/test/extras_test.py
index 2e1764d9..9b8ce0f0 100644
--- a/test/extras_test.py
+++ b/test/extras_test.py
@@ -1,7 +1,5 @@
 import unittest
-import requests
-from gradio.processing_utils import encode_pil_to_base64
-from PIL import Image
+
 
 class TestExtrasWorking(unittest.TestCase):
     def setUp(self):
@@ -22,8 +20,10 @@ class TestExtrasWorking(unittest.TestCase):
             "image": ""
             }
 
+
 class TestExtrasCorrectness(unittest.TestCase):
     pass
 
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/test/img2img_test.py b/test/img2img_test.py
index 61e3e285..012a9580 100644
--- a/test/img2img_test.py
+++ b/test/img2img_test.py
@@ -3,13 +3,12 @@ import requests
 from gradio.processing_utils import encode_pil_to_base64
 from PIL import Image
 
+
 class TestImg2ImgWorking(unittest.TestCase):
     def setUp(self):
         self.url_img2img = "http://localhost:7860/sdapi/v1/img2img"
         self.simple_img2img = {
-            "init_images": [
-                encode_pil_to_base64(Image.open(r"test/test_files/img2img_basic.png"))
-                ],
+            "init_images": [encode_pil_to_base64(Image.open(r"test/test_files/img2img_basic.png"))],
             "resize_mode": 0,
             "denoising_strength": 0.75,
             "mask": None,
@@ -19,9 +18,7 @@ class TestImg2ImgWorking(unittest.TestCase):
             "inpaint_full_res_padding": 0,
             "inpainting_mask_invert": 0,
             "prompt": "example prompt",
-            "styles": [
-                ""
-                ],
+            "styles": [],
             "seed": -1,
             "subseed": -1,
             "subseed_strength": 0,
@@ -45,6 +42,7 @@ class TestImg2ImgWorking(unittest.TestCase):
             "sampler_index": "Euler a",
             "include_init_images": False
             }
+
     def test_img2img_simple_performed(self):
         self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200)
 
@@ -52,8 +50,10 @@ class TestImg2ImgWorking(unittest.TestCase):
         self.simple_img2img["mask"] = encode_pil_to_base64(Image.open(r"test/test_files/mask_basic.png"))
         self.assertEqual(requests.post(self.url_img2img, json=self.simple_img2img).status_code, 200)
 
+
 class TestImg2ImgCorrectness(unittest.TestCase):
     pass
 
+
 if __name__ == "__main__":
     unittest.main()
diff --git a/test/server_poll.py b/test/server_poll.py
index 8c0436f8..eeefb7eb 100644
--- a/test/server_poll.py
+++ b/test/server_poll.py
@@ -2,16 +2,18 @@ import unittest
 import requests
 import time
 
-timeout_threshold = 240
-start_time = time.time()
-while time.time()-start_time < timeout_threshold:
-    try:
-        requests.head("http://localhost:7860/")
-        break
-    except requests.exceptions.ConnectionError:
-        pass
-if time.time()-start_time < timeout_threshold:
-    suite = unittest.TestLoader().discover('', pattern='*_test.py')
-    result = unittest.TextTestRunner(verbosity=2).run(suite)
-else:
-    print("Launch unsuccessful")
+
+def run_tests():
+    timeout_threshold = 240
+    start_time = time.time()
+    while time.time()-start_time < timeout_threshold:
+        try:
+            requests.head("http://localhost:7860/")
+            break
+        except requests.exceptions.ConnectionError:
+            pass
+    if time.time()-start_time < timeout_threshold:
+        suite = unittest.TestLoader().discover('', pattern='*_test.py')
+        result = unittest.TextTestRunner(verbosity=2).run(suite)
+    else:
+        print("Launch unsuccessful")
diff --git a/test/txt2img_test.py b/test/txt2img_test.py
index ad27686a..1936e07e 100644
--- a/test/txt2img_test.py
+++ b/test/txt2img_test.py
@@ -1,6 +1,7 @@
 import unittest
 import requests
 
+
 class TestTxt2ImgWorking(unittest.TestCase):
     def setUp(self):
         self.url_txt2img = "http://localhost:7860/sdapi/v1/txt2img"
@@ -10,9 +11,7 @@ class TestTxt2ImgWorking(unittest.TestCase):
             "firstphase_width": 0,
             "firstphase_height": 0,
             "prompt": "example prompt",
-            "styles": [
-            ""
-            ],
+            "styles": [],
             "seed": -1,
             "subseed": -1,
             "subseed_strength": 0,
@@ -34,6 +33,7 @@ class TestTxt2ImgWorking(unittest.TestCase):
             "s_noise": 1,
             "sampler_index": "Euler a"
         }
+
     def test_txt2img_simple_performed(self):
         self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
@@ -65,8 +65,10 @@ class TestTxt2ImgWorking(unittest.TestCase):
         self.simple_txt2img["n_iter"] = 2
         self.assertEqual(requests.post(self.url_txt2img, json=self.simple_txt2img).status_code, 200)
 
+
 class TestTxt2ImgCorrectness(unittest.TestCase):
     pass
 
+
 if __name__ == "__main__":
     unittest.main()

From 5a6e0cfba675c0f11ade7124cbeec1356c77beb2 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 30 Oct 2022 08:28:36 +0300
Subject: [PATCH 311/321] always add --api when running tests

---
 launch.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/launch.py b/launch.py
index 33f98343..958336f2 100644
--- a/launch.py
+++ b/launch.py
@@ -202,6 +202,9 @@ def prepare_enviroment():
 
 
 def tests(argv):
+    if "--api" not in argv:
+        argv.append("--api")
+
     print(f"Launching Web UI in another process for testing with arguments: {' '.join(argv[1:])}")
 
     with open('test/stdout.txt', "w", encoding="utf8") as stdout, open('test/stderr.txt', "w", encoding="utf8") as stderr:

From 61836bd544fc8f4ef62f311c9d5964fbdaeb3f4c Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 30 Oct 2022 08:48:53 +0300
Subject: [PATCH 312/321] shorten Hypernetwork strength in infotext and omit it
 when it's the default value.

---
 modules/generation_parameters_copypaste.py | 2 +-
 modules/processing.py                      | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index 59c6d7da..df70c728 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -66,7 +66,7 @@ def integrate_settings_paste_fields(component_dict):
 
     settings_map = {
         'sd_hypernetwork': 'Hypernet',
-        'sd_hypernetwork_strength': 'Hypernetwork strength',
+        'sd_hypernetwork_strength': 'Hypernet strength',
         'CLIP_stop_at_last_layers': 'Clip skip',
         'sd_model_checkpoint': 'Model hash',
     }
diff --git a/modules/processing.py b/modules/processing.py
index ecaa78e2..b1df4918 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -396,7 +396,7 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
         "Model hash": getattr(p, 'sd_model_hash', None if not opts.add_model_hash_to_info or not shared.sd_model.sd_model_hash else shared.sd_model.sd_model_hash),
         "Model": (None if not opts.add_model_name_to_info or not shared.sd_model.sd_checkpoint_info.model_name else shared.sd_model.sd_checkpoint_info.model_name.replace(',', '').replace(':', '')),
         "Hypernet": (None if shared.loaded_hypernetwork is None else shared.loaded_hypernetwork.name),
-        "Hypernetwork strength": (None if shared.loaded_hypernetwork is None else shared.opts.sd_hypernetwork_strength),
+        "Hypernet strength": (None if shared.loaded_hypernetwork is None or shared.opts.sd_hypernetwork_strength >= 1 else shared.opts.sd_hypernetwork_strength),
         "Batch size": (None if p.batch_size < 2 else p.batch_size),
         "Batch pos": (None if p.batch_size < 2 else position_in_batch),
         "Variation seed": (None if p.subseed_strength == 0 else all_subseeds[index]),

From 149784202cca8612b43629c601ee27cfda64e623 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sun, 30 Oct 2022 09:10:22 +0300
Subject: [PATCH 313/321] rework #3722 to not introduce duplicate code

---
 modules/api/api.py | 43 +++++++++++++------------------------------
 modules/shared.py  | 22 +++++++++++++++++++---
 webui.py           | 17 ++---------------
 3 files changed, 34 insertions(+), 48 deletions(-)

diff --git a/modules/api/api.py b/modules/api/api.py
index 5c5b210f..6c06d449 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -9,31 +9,6 @@ from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusion
 from modules.sd_samplers import all_samplers
 from modules.extras import run_extras, run_pnginfo
 
-# copy from wrap_gradio_gpu_call of webui.py
-# because queue lock will be acquired in api handlers
-# and time start needs to be set
-# the function has been modified into two parts
-
-def before_gpu_call():
-    devices.torch_gc()
-
-    shared.state.sampling_step = 0
-    shared.state.job_count = -1
-    shared.state.job_no = 0
-    shared.state.job_timestamp = shared.state.get_job_timestamp()
-    shared.state.current_latent = None
-    shared.state.current_image = None
-    shared.state.current_image_sampling_step = 0
-    shared.state.skipped = False
-    shared.state.interrupted = False
-    shared.state.textinfo = None
-    shared.state.time_start = time.time()
-
-def after_gpu_call():
-    shared.state.job = ""
-    shared.state.job_count = 0
-
-    devices.torch_gc()
 
 def upscaler_to_index(name: str):
     try:
@@ -41,8 +16,10 @@ def upscaler_to_index(name: str):
     except:
         raise HTTPException(status_code=400, detail=f"Invalid upscaler, needs to be on of these: {' , '.join([x.name for x in sd_upscalers])}")
 
+
 sampler_to_index = lambda name: next(filter(lambda row: name.lower() == row[1].name.lower(), enumerate(all_samplers)), None)
 
+
 def setUpscalers(req: dict):
     reqDict = vars(req)
     reqDict['extras_upscaler_1'] = upscaler_to_index(req.upscaler_1)
@@ -51,6 +28,7 @@ def setUpscalers(req: dict):
     reqDict.pop('upscaler_2')
     return reqDict
 
+
 class Api:
     def __init__(self, app, queue_lock):
         self.router = APIRouter()
@@ -78,10 +56,13 @@ class Api:
         )
         p = StableDiffusionProcessingTxt2Img(**vars(populate))
         # Override object param
-        before_gpu_call()
+
+        shared.state.begin()
+
         with self.queue_lock:
             processed = process_images(p)
-        after_gpu_call()
+
+        shared.state.end()
 
         b64images = list(map(encode_pil_to_base64, processed.images))
 
@@ -119,11 +100,13 @@ class Api:
             imgs = [img] * p.batch_size
 
         p.init_images = imgs
-        # Override object param
-        before_gpu_call()
+
+        shared.state.begin()
+
         with self.queue_lock:
             processed = process_images(p)
-        after_gpu_call()
+
+        shared.state.end()
 
         b64images = list(map(encode_pil_to_base64, processed.images))
 
diff --git a/modules/shared.py b/modules/shared.py
index f7b0990c..e4f163c1 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -144,9 +144,6 @@ class State:
         self.sampling_step = 0
         self.current_image_sampling_step = 0
 
-    def get_job_timestamp(self):
-        return datetime.datetime.now().strftime("%Y%m%d%H%M%S")  # shouldn't this return job_timestamp?
-
     def dict(self):
         obj = {
             "skipped": self.skipped,
@@ -160,6 +157,25 @@ class State:
 
         return obj
 
+    def begin(self):
+        self.sampling_step = 0
+        self.job_count = -1
+        self.job_no = 0
+        self.job_timestamp = datetime.datetime.now().strftime("%Y%m%d%H%M%S")
+        self.current_latent = None
+        self.current_image = None
+        self.current_image_sampling_step = 0
+        self.skipped = False
+        self.interrupted = False
+        self.textinfo = None
+
+        devices.torch_gc()
+
+    def end(self):
+        self.job = ""
+        self.job_count = 0
+
+        devices.torch_gc()
 
 state = State()
 
diff --git a/webui.py b/webui.py
index ade7334b..29530872 100644
--- a/webui.py
+++ b/webui.py
@@ -46,26 +46,13 @@ def wrap_queued_call(func):
 
 def wrap_gradio_gpu_call(func, extra_outputs=None):
     def f(*args, **kwargs):
-        devices.torch_gc()
 
-        shared.state.sampling_step = 0
-        shared.state.job_count = -1
-        shared.state.job_no = 0
-        shared.state.job_timestamp = shared.state.get_job_timestamp()
-        shared.state.current_latent = None
-        shared.state.current_image = None
-        shared.state.current_image_sampling_step = 0
-        shared.state.skipped = False
-        shared.state.interrupted = False
-        shared.state.textinfo = None
+        shared.state.begin()
 
         with queue_lock:
             res = func(*args, **kwargs)
 
-        shared.state.job = ""
-        shared.state.job_count = 0
-
-        devices.torch_gc()
+        shared.state.end()
 
         return res
 

From e19edbbf724cb19387600da754627933fcc6563e Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 31 Oct 2022 16:56:41 +0900
Subject: [PATCH 314/321] Update ko_KR.json

Added KR support for Dynamic Prompts extension  - https://github.com/mkco5162/sd-dynamic-prompts
---
 localizations/ko_KR.json | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 8f5f155b..66d4addf 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -33,10 +33,12 @@
   "Always save all generated images": "생성된 이미지 항상 저장하기",
   "api": "",
   "append": "뒤에 삽입",
+  "Append commas": "쉼표 삽입",
   "Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
   "Auto focal point crop": "초점 기준 크롭(자동 감지)",
+  "Autocomplete options": "자동완성 설정",
   "Batch count": "배치 수",
   "Batch from Directory": "저장 경로로부터 여러장 처리",
   "Batch img2img": "이미지→이미지 배치",
@@ -64,6 +66,9 @@
   "CodeFormer weight parameter; 0 = maximum effect; 1 = minimum effect": "CodeFormer 가중치 설정값 (0 = 최대 효과, 1 = 최소 효과)",
   "Collect": "즐겨찾기",
   "Color variation": "색깔 다양성",
+  "Combinations": "조합",
+  "Combinatorial batches": "조합 배치 수",
+  "Combinatorial generation": "조합 생성",
   "copy": "복사",
   "Create a grid where images will have different parameters. Use inputs below to specify which parameters will be shared by columns and rows": "서로 다른 설정값으로 생성된 이미지의 그리드를 만듭니다. 아래의 설정으로 가로/세로에 어떤 설정값을 적용할지 선택하세요.",
   "Create a text file next to every image with generation parameters.": "생성된 이미지마다 생성 설정값을 담은 텍스트 파일 생성하기",
@@ -150,6 +155,7 @@
   "First Page": "처음 페이지",
   "Firstpass height": "초기 세로길이",
   "Firstpass width": "초기 가로길이",
+  "Fixed seed": "시드 고정",
   "Focal point edges weight": "경계면 가중치",
   "Focal point entropy weight": "엔트로피 가중치",
   "Focal point face weight": "얼굴 가중치",
@@ -247,6 +253,7 @@
   "Loopback": "루프백",
   "Loops": "루프 수",
   "Loss:": "손실(Loss) : ",
+  "Magic prompt": "매직 프롬프트",
   "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution": "동일한 시드 값으로 생성되었을 이미지를 주어진 해상도로 최대한 유사하게 재현합니다.",
   "Make K-diffusion samplers produce same images in a batch as when making a single image": "K-diffusion 샘플러들이 단일 이미지를 생성하는 것처럼 배치에서도 동일한 이미지를 생성하게 하기",
   "Make Zip when Save?": "저장 시 Zip 생성하기",

From 81624f4dfb041a53a796cdca18401e2d920972ac Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Mon, 31 Oct 2022 22:25:05 +0900
Subject: [PATCH 315/321] Added some extension KR support

Supported extensions
https://github.com/adieyal/sd-dynamic-prompts
https://github.com/yfszzx/stable-diffusion-webui-images-browser
https://github.com/DominikDoom/a1111-sd-webui-tagcomplete
https://github.com/lilly1987/AI-WEBUI-scripts-Random
---
 localizations/ko_KR.json | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 66d4addf..09ee5c86 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -47,6 +47,7 @@
   "BSRGAN 4x": "BSRGAN 4x",
   "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
+  "cfg cnt": "CFG 변화 횟수",
   "cfg count": "CFG 변화 횟수",
   "CFG Scale": "CFG 스케일",
   "cfg1 min/max": "CFG1 최소/최대",
@@ -83,10 +84,12 @@
   "custom fold": "커스텀 경로",
   "Custom Name (Optional)": "병합 모델 이름 (선택사항)",
   "Dataset directory": "데이터셋 경로",
+  "date": "생성 일자",
   "DDIM": "DDIM",
   "Decode CFG scale": "디코딩 CFG 스케일",
   "Decode steps": "디코딩 스텝 수",
   "Delete": "삭제",
+  "delete next": "선택한 이미지부터 시작해서 삭제할 이미지 갯수",
   "Denoising": "디노이징",
   "Denoising Diffusion Implicit Models - best at inpainting": "Denoising Diffusion Implicit Models - 인페이팅에 뛰어남",
   "Denoising strength": "디노이즈 강도",
@@ -113,6 +116,7 @@
   "Draw mask": "마스크 직접 그리기",
   "Drop File Here": "파일을 끌어 놓으세요",
   "Drop Image Here": "이미지를 끌어 놓으세요",
+  "Dropdown": "드롭다운",
   "Embedding": "임베딩",
   "Embedding Learning rate": "임베딩 학습률",
   "Emphasis: use (text) to make model pay more attention to text and [text] to make it pay less attention": "강조 : (텍스트)를 이용해 모델의 텍스트에 대한 가중치를 더 강하게 주고 [텍스트]를 이용해 더 약하게 줍니다.",
@@ -139,7 +143,7 @@
   "Face restoration": "얼굴 보정",
   "Face restoration model": "얼굴 보정 모델",
   "Fall-off exponent (lower=higher detail)": "감쇠 지수 (낮을수록 디테일이 올라감)",
-  "favorites": "즐겨찾기",
+  "Favorites": "즐겨찾기",
   "File": "파일",
   "File format for grids": "그리드 이미지 파일 형식",
   "File format for images": "이미지 파일 형식",
@@ -192,6 +196,7 @@
   "Image Browser": "이미지 브라우저",
   "Image for img2img": "Image for img2img",
   "Image for inpainting with mask": "마스크로 인페인팅할 이미지",
+  "Image not found (may have been already moved)": "이미지를 찾을 수 없습니다 (이미 옮겨졌을 수 있음)",
   "Images Browser": "이미지 브라우저",
   "Images directory": "이미지 경로",
   "Images filename pattern": "이미지 파일명 패턴",
@@ -229,6 +234,7 @@
   "Just resize": "리사이징",
   "Keep -1 for seeds": "시드값 -1로 유지",
   "keep whatever was there originally": "이미지 원본 유지",
+  "keyword": "프롬프트",
   "Label": "라벨",
   "Lanczos": "Lanczos",
   "Last prompt:": "마지막 프롬프트 : ",
@@ -267,7 +273,9 @@
   "Minimum number of pages per load": "한번 불러올 때마다 불러올 최소 페이지 수",
   "Modules": "모듈",
   "Move face restoration model from VRAM into RAM after processing": "처리가 완료되면 얼굴 보정 모델을 VRAM에서 RAM으로 옮기기",
+  "Move to favorites": "즐겨찾기로 옮기기",
   "Move VAE and CLIP to RAM when training hypernetwork. Saves VRAM.": "하이퍼네트워크 훈련 진행 시 VAE와 CLIP을 RAM으로 옮기기. VRAM이 절약됩니다.",
+  "Moved to favorites": "즐겨찾기로 옮겨짐",
   "Multiplier (M) - set to 0 to get model A": "배율 (M) - 0으로 적용하면 모델 A를 얻게 됩니다",
   "Name": "이름",
   "Negative prompt": "네거티브 프롬프트",
@@ -292,6 +300,7 @@
   "original": "원본 유지",
   "Original negative prompt": "기존 네거티브 프롬프트",
   "Original prompt": "기존 프롬프트",
+  "Others": "기타",
   "Outpainting direction": "아웃페인팅 방향",
   "Outpainting mk2": "아웃페인팅 마크 2",
   "Output directory": "이미지 저장 경로",
@@ -310,6 +319,7 @@
   "Overwrite Old Hypernetwork": "기존 하이퍼네트워크 덮어쓰기",
   "Page Index": "페이지 인덱스",
   "parameters": "설정값",
+  "path name": "경로 이름",
   "Path to directory where to write outputs": "결과물을 출력할 경로",
   "Path to directory with input images": "인풋 이미지가 있는 경로",
   "Paths for saving": "저장 경로",
@@ -431,6 +441,7 @@
   "Skip": "건너뛰기",
   "Slerp angle": "구면 선형 보간 각도",
   "Slerp interpolation": "구면 선형 보간",
+  "sort by": "정렬 기준",
   "Source": "원본",
   "Source directory": "원본 경로",
   "Split image overlap ratio": "이미지 분할 겹침 비율",
@@ -438,6 +449,7 @@
   "Split oversized images": "사이즈가 큰 이미지 분할하기",
   "Stable Diffusion": "Stable Diffusion",
   "Stable Diffusion checkpoint": "Stable Diffusion 체크포인트",
+  "step cnt": "스텝 변화 횟수",
   "step count": "스텝 변화 횟수",
   "step1 min/max": "스텝1 최소/최대",
   "step2 min/max": "스텝2 최소/최대",

From 910a097ae2ed78a62101951f1b87137f9e1baaea Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 31 Oct 2022 17:36:45 +0300
Subject: [PATCH 316/321] add initial version of the extensions tab fix broken
 Restart Gradio button

---
 javascript/extensions.js                   |  24 +++
 modules/extensions.py                      |  83 +++++++++++
 modules/generation_parameters_copypaste.py |   5 +
 modules/scripts.py                         |  21 +--
 modules/shared.py                          |  10 +-
 modules/ui.py                              |  16 +-
 modules/ui_extensions.py                   | 162 +++++++++++++++++++++
 style.css                                  |  22 ++-
 webui.py                                   |  20 ++-
 9 files changed, 333 insertions(+), 30 deletions(-)
 create mode 100644 javascript/extensions.js
 create mode 100644 modules/extensions.py
 create mode 100644 modules/ui_extensions.py

diff --git a/javascript/extensions.js b/javascript/extensions.js
new file mode 100644
index 00000000..86f5336d
--- /dev/null
+++ b/javascript/extensions.js
@@ -0,0 +1,24 @@
+
+function extensions_apply(_, _){
+    disable = []
+    update = []
+    gradioApp().querySelectorAll('#extensions input[type="checkbox"]').forEach(function(x){
+        if(x.name.startsWith("enable_") && ! x.checked)
+            disable.push(x.name.substr(7))
+
+        if(x.name.startsWith("update_") && x.checked)
+            update.push(x.name.substr(7))
+    })
+
+    restart_reload()
+
+    return [JSON.stringify(disable), JSON.stringify(update)]
+}
+
+function extensions_check(){
+    gradioApp().querySelectorAll('#extensions .extension_status').forEach(function(x){
+        x.innerHTML = "Loading..."
+    })
+
+    return []
+}
\ No newline at end of file
diff --git a/modules/extensions.py b/modules/extensions.py
new file mode 100644
index 00000000..8d6ae848
--- /dev/null
+++ b/modules/extensions.py
@@ -0,0 +1,83 @@
+import os
+import sys
+import traceback
+
+import git
+
+from modules import paths, shared
+
+
+extensions = []
+extensions_dir = os.path.join(paths.script_path, "extensions")
+
+
+def active():
+    return [x for x in extensions if x.enabled]
+
+
+class Extension:
+    def __init__(self, name, path, enabled=True):
+        self.name = name
+        self.path = path
+        self.enabled = enabled
+        self.status = ''
+        self.can_update = False
+
+        repo = None
+        try:
+            if os.path.exists(os.path.join(path, ".git")):
+                repo = git.Repo(path)
+        except Exception:
+            print(f"Error reading github repository info from {path}:", file=sys.stderr)
+            print(traceback.format_exc(), file=sys.stderr)
+
+        if repo is None or repo.bare:
+            self.remote = None
+        else:
+            self.remote = next(repo.remote().urls, None)
+            self.status = 'unknown'
+
+    def list_files(self, subdir, extension):
+        from modules import scripts
+
+        dirpath = os.path.join(self.path, subdir)
+        if not os.path.isdir(dirpath):
+            return []
+
+        res = []
+        for filename in sorted(os.listdir(dirpath)):
+            res.append(scripts.ScriptFile(dirpath, filename, os.path.join(dirpath, filename)))
+
+        res = [x for x in res if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
+
+        return res
+
+    def check_updates(self):
+        repo = git.Repo(self.path)
+        for fetch in repo.remote().fetch("--dry-run"):
+            if fetch.flags != fetch.HEAD_UPTODATE:
+                self.can_update = True
+                self.status = "behind"
+                return
+
+        self.can_update = False
+        self.status = "latest"
+
+    def pull(self):
+        repo = git.Repo(self.path)
+        repo.remotes.origin.pull()
+
+
+def list_extensions():
+    extensions.clear()
+
+    if not os.path.isdir(extensions_dir):
+        return
+
+    for dirname in sorted(os.listdir(extensions_dir)):
+        path = os.path.join(extensions_dir, dirname)
+        if not os.path.isdir(path):
+            continue
+
+        extension = Extension(name=dirname, path=path, enabled=dirname not in shared.opts.disabled_extensions)
+        extensions.append(extension)
diff --git a/modules/generation_parameters_copypaste.py b/modules/generation_parameters_copypaste.py
index df70c728..985ec95e 100644
--- a/modules/generation_parameters_copypaste.py
+++ b/modules/generation_parameters_copypaste.py
@@ -17,6 +17,11 @@ paste_fields = {}
 bind_list = []
 
 
+def reset():
+    paste_fields.clear()
+    bind_list.clear()
+
+
 def quote(text):
     if ',' not in str(text):
         return text
diff --git a/modules/scripts.py b/modules/scripts.py
index 96e44bfd..533db45c 100644
--- a/modules/scripts.py
+++ b/modules/scripts.py
@@ -7,7 +7,7 @@ import modules.ui as ui
 import gradio as gr
 
 from modules.processing import StableDiffusionProcessing
-from modules import shared, paths, script_callbacks
+from modules import shared, paths, script_callbacks, extensions
 
 AlwaysVisible = object()
 
@@ -107,17 +107,8 @@ def list_scripts(scriptdirname, extension):
         for filename in sorted(os.listdir(basedir)):
             scripts_list.append(ScriptFile(paths.script_path, filename, os.path.join(basedir, filename)))
 
-    extdir = os.path.join(paths.script_path, "extensions")
-    if os.path.exists(extdir):
-        for dirname in sorted(os.listdir(extdir)):
-            dirpath = os.path.join(extdir, dirname)
-            scriptdirpath = os.path.join(dirpath, scriptdirname)
-
-            if not os.path.isdir(scriptdirpath):
-                continue
-
-            for filename in sorted(os.listdir(scriptdirpath)):
-                scripts_list.append(ScriptFile(dirpath, filename, os.path.join(scriptdirpath, filename)))
+    for ext in extensions.active():
+        scripts_list += ext.list_files(scriptdirname, extension)
 
     scripts_list = [x for x in scripts_list if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
 
@@ -127,11 +118,7 @@ def list_scripts(scriptdirname, extension):
 def list_files_with_name(filename):
     res = []
 
-    dirs = [paths.script_path]
-
-    extdir = os.path.join(paths.script_path, "extensions")
-    if os.path.exists(extdir):
-        dirs += [os.path.join(extdir, d) for d in sorted(os.listdir(extdir))]
+    dirs = [paths.script_path] + [ext.path for ext in extensions.active()]
 
     for dirpath in dirs:
         if not os.path.isdir(dirpath):
diff --git a/modules/shared.py b/modules/shared.py
index e4f163c1..cce87081 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -132,6 +132,7 @@ class State:
     current_image = None
     current_image_sampling_step = 0
     textinfo = None
+    need_restart = False
 
     def skip(self):
         self.skipped = True
@@ -354,6 +355,12 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
     'eta_noise_seed_delta': OptionInfo(0, "Eta noise seed delta", gr.Number, {"precision": 0}),
 }))
 
+options_templates.update(options_section((None, "Hidden options"), {
+    "disabled_extensions": OptionInfo([], "Disable those extensions"),
+}))
+
+options_templates.update()
+
 
 class Options:
     data = None
@@ -365,8 +372,9 @@ class Options:
 
     def __setattr__(self, key, value):
         if self.data is not None:
-            if key in self.data:
+            if key in self.data or key in self.data_labels:
                 self.data[key] = value
+                return
 
         return super(Options, self).__setattr__(key, value)
 
diff --git a/modules/ui.py b/modules/ui.py
index 5055ca64..2c15abb7 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -19,7 +19,7 @@ import numpy as np
 from PIL import Image, PngImagePlugin
 
 
-from modules import sd_hijack, sd_models, localization, script_callbacks
+from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions
 from modules.paths import script_path
 
 from modules.shared import opts, cmd_opts, restricted_opts
@@ -671,6 +671,7 @@ def create_ui(wrap_gradio_gpu_call):
     import modules.img2img
     import modules.txt2img
 
+    parameters_copypaste.reset()
 
     with gr.Blocks(analytics_enabled=False) as txt2img_interface:
         txt2img_prompt, roll, txt2img_prompt_style, txt2img_negative_prompt, txt2img_prompt_style2, submit, _, _, txt2img_prompt_style_apply, txt2img_save_style, txt2img_paste, token_counter, token_button = create_toprow(is_img2img=False)
@@ -1511,8 +1512,9 @@ def create_ui(wrap_gradio_gpu_call):
         column = None
         with gr.Row(elem_id="settings").style(equal_height=False):
             for i, (k, item) in enumerate(opts.data_labels.items()):
+                section_must_be_skipped = item.section[0] is None
 
-                if previous_section != item.section:
+                if previous_section != item.section and not section_must_be_skipped:
                     if cols_displayed < settings_cols and (items_displayed >= items_per_col or previous_section is None):
                         if column is not None:
                             column.__exit__()
@@ -1531,6 +1533,8 @@ def create_ui(wrap_gradio_gpu_call):
                 if k in quicksettings_names and not shared.cmd_opts.freeze_settings:
                     quicksettings_list.append((i, k, item))
                     components.append(dummy_component)
+                elif section_must_be_skipped:
+                    components.append(dummy_component)
                 else:
                     component = create_setting_component(k)
                     component_dict[k] = component
@@ -1572,9 +1576,10 @@ def create_ui(wrap_gradio_gpu_call):
 
         def request_restart():
             shared.state.interrupt()
-            settings_interface.gradio_ref.do_restart = True
+            shared.state.need_restart = True
 
         restart_gradio.click(
+
             fn=request_restart,
             inputs=[],
             outputs=[],
@@ -1612,14 +1617,15 @@ def create_ui(wrap_gradio_gpu_call):
     interfaces += script_callbacks.ui_tabs_callback()
     interfaces += [(settings_interface, "Settings", "settings")]
 
+    extensions_interface = ui_extensions.create_ui()
+    interfaces += [(extensions_interface, "Extensions", "extensions")]
+
     with gr.Blocks(css=css, analytics_enabled=False, title="Stable Diffusion") as demo:
         with gr.Row(elem_id="quicksettings"):
             for i, k, item in quicksettings_list:
                 component = create_setting_component(k, is_quicksettings=True)
                 component_dict[k] = component
 
-        settings_interface.gradio_ref = demo
-
         parameters_copypaste.integrate_settings_paste_fields(component_dict)
         parameters_copypaste.run_bind()
 
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
new file mode 100644
index 00000000..b7d747dc
--- /dev/null
+++ b/modules/ui_extensions.py
@@ -0,0 +1,162 @@
+import json
+import os.path
+import shutil
+import sys
+import time
+import traceback
+
+import git
+
+import gradio as gr
+import html
+
+from modules import extensions, shared, paths
+
+
+def apply_and_restart(disable_list, update_list):
+    disabled = json.loads(disable_list)
+    assert type(disabled) == list, f"wrong disable_list data for apply_and_restart: {disable_list}"
+
+    update = json.loads(update_list)
+    assert type(update) == list, f"wrong update_list data for apply_and_restart: {update_list}"
+
+    update = set(update)
+
+    for ext in extensions.extensions:
+        if ext.name not in update:
+            continue
+
+        try:
+            ext.pull()
+        except Exception:
+            print(f"Error pulling updates for {ext.name}:", file=sys.stderr)
+            print(traceback.format_exc(), file=sys.stderr)
+
+    shared.opts.disabled_extensions = disabled
+    shared.opts.save(shared.config_filename)
+
+    shared.state.interrupt()
+    shared.state.need_restart = True
+
+
+def check_updates():
+    for ext in extensions.extensions:
+        if ext.remote is None:
+            continue
+
+        try:
+            ext.check_updates()
+        except Exception:
+            print(f"Error checking updates for {ext.name}:", file=sys.stderr)
+            print(traceback.format_exc(), file=sys.stderr)
+
+    return extension_table()
+
+
+def extension_table():
+    code = f"""<!-- {time.time()} -->
+    <table id="extensions">
+        <thead>
+            <tr>
+                <th><abbr title="Use checkbox to enable the extension; it will be enabled or disabled when you click apply button">Extension</abbr></th>
+                <th>URL</th>
+                <th><abbr title="Use checkbox to mark the extension for update; it will be updated when you click apply button">Update</abbr></th>
+            </tr>
+        </thead>
+        <tbody>
+    """
+
+    for ext in extensions.extensions:
+        if ext.can_update:
+            ext_status = f"""<label><input class="gr-check-radio gr-checkbox" name="update_{html.escape(ext.name)}" checked="checked" type="checkbox">{html.escape(ext.status)}</label>"""
+        else:
+            ext_status = ext.status
+
+        code += f"""
+            <tr>
+                <td><label><input class="gr-check-radio gr-checkbox" name="enable_{html.escape(ext.name)}" type="checkbox" {'checked="checked"' if ext.enabled else ''}>{html.escape(ext.name)}</label></td>
+                <td><a href="{html.escape(ext.remote or '')}">{html.escape(ext.remote or '')}</a></td>
+                <td{' class="extension_status"' if ext.remote is not None else ''}>{ext_status}</td>
+            </tr>
+    """
+
+    code += """
+        </tbody>
+    </table>
+    """
+
+    return code
+
+
+def install_extension_from_url(dirname, url):
+    assert url, 'No URL specified'
+
+    if dirname is None or dirname == "":
+        *parts, last_part = url.split('/')
+        last_part = last_part.replace(".git", "")
+
+        dirname = last_part
+
+    target_dir = os.path.join(extensions.extensions_dir, dirname)
+    assert not os.path.exists(target_dir), f'Extension directory already exists: {target_dir}'
+
+    assert len([x for x in extensions.extensions if x.remote == url]) == 0, 'Extension with this URL is already installed'
+
+    tmpdir = os.path.join(paths.script_path, "tmp", dirname)
+
+    try:
+        shutil.rmtree(tmpdir, True)
+
+        repo = git.Repo.clone_from(url, tmpdir)
+        repo.remote().fetch()
+
+        os.rename(tmpdir, target_dir)
+
+        extensions.list_extensions()
+        return [extension_table(), html.escape(f"Installed into {target_dir}. Use Installed tab to restart.")]
+    finally:
+        shutil.rmtree(tmpdir, True)
+
+
+def create_ui():
+    import modules.ui
+
+    with gr.Blocks(analytics_enabled=False) as ui:
+        with gr.Tabs(elem_id="tabs_extensions") as tabs:
+            with gr.TabItem("Installed"):
+                extensions_disabled_list = gr.Text(elem_id="extensions_disabled_list", visible=False)
+                extensions_update_list = gr.Text(elem_id="extensions_update_list", visible=False)
+
+                with gr.Row():
+                    apply = gr.Button(value="Apply and restart UI", variant="primary")
+                    check = gr.Button(value="Check for updates")
+
+                extensions_table = gr.HTML(lambda: extension_table())
+
+                apply.click(
+                    fn=apply_and_restart,
+                    _js="extensions_apply",
+                    inputs=[extensions_disabled_list, extensions_update_list],
+                    outputs=[],
+                )
+
+                check.click(
+                    fn=check_updates,
+                    _js="extensions_check",
+                    inputs=[],
+                    outputs=[extensions_table],
+                )
+
+            with gr.TabItem("Install from URL"):
+                install_url = gr.Text(label="URL for extension's git repository")
+                install_dirname = gr.Text(label="Local directory name", placeholder="Leave empty for auto")
+                intall_button = gr.Button(value="Install", variant="primary")
+                intall_result = gr.HTML(elem_id="extension_install_result")
+
+                intall_button.click(
+                    fn=modules.ui.wrap_gradio_call(install_extension_from_url, extra_outputs=[gr.update()]),
+                    inputs=[install_dirname, install_url],
+                    outputs=[extensions_table, intall_result],
+                )
+
+    return ui
diff --git a/style.css b/style.css
index 8b2211b1..859c3933 100644
--- a/style.css
+++ b/style.css
@@ -530,6 +530,26 @@ img2maskimg, #img2maskimg > .h-60, #img2maskimg > .h-60 > div, #img2maskimg > .h
     min-height: 480px !important;
 }
 
+/* Extensions */
+
+#extensions{
+    border-collapse: collapse;
+}
+
+#extensions td, #extensions th{
+    border: 1px solid #ccc;
+    padding: 0.25em 0.5em;
+}
+
+#extensions input[type="checkbox"]{
+    margin-right: 0.5em;
+}
+
+#tab_extensions button{
+    max-width: 16em;
+}
+
+
 /* The following handles localization for right-to-left (RTL) languages like Arabic.
 The rtl media type will only be activated by the logic in javascript/localization.js.
 If you change anything above, you need to make sure it is RTL compliant by just running
@@ -607,4 +627,4 @@ Then, you will need to add the RTL counterpart only if needed in the rtl section
         right: unset;
         left: 0.5em;
     }
-}
+}
\ No newline at end of file
diff --git a/webui.py b/webui.py
index 29530872..ad2eb236 100644
--- a/webui.py
+++ b/webui.py
@@ -9,7 +9,7 @@ from fastapi.middleware.gzip import GZipMiddleware
 
 from modules.paths import script_path
 
-from modules import devices, sd_samplers, upscaler
+from modules import devices, sd_samplers, upscaler, extensions
 import modules.codeformer_model as codeformer
 import modules.extras
 import modules.face_restoration
@@ -60,6 +60,11 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
 
 
 def initialize():
+    extensions.list_extensions()
+    #for ext in extensions.extensions:
+    #    print(ext.name, ext.path, ext.enabled, ext.remote)
+    #exit()
+
     if cmd_opts.ui_debug_mode:
         shared.sd_upscalers = upscaler.UpscalerLanczos().scalers
         modules.scripts.load_scripts()
@@ -92,15 +97,18 @@ def create_api(app):
     api = Api(app, queue_lock)
     return api
 
+
 def wait_on_server(demo=None):
     while 1:
         time.sleep(0.5)
-        if demo and getattr(demo, 'do_restart', False):
+        if shared.state.need_restart:
+            shared.state.need_restart = False
             time.sleep(0.5)
             demo.close()
             time.sleep(0.5)
             break
 
+
 def api_only():
     initialize()
 
@@ -132,14 +140,16 @@ def webui():
 
         app.add_middleware(GZipMiddleware, minimum_size=1000)
 
-        if (launch_api):
+        if launch_api:
             create_api(app)
 
         wait_on_server(demo)
 
         sd_samplers.set_samplers()
 
-        print('Reloading Custom Scripts')
+        print('Reloading extensions')
+        extensions.list_extensions()
+        print('Reloading custom scripts')
         modules.scripts.reload_scripts()
         print('Reloading modules: modules.ui')
         importlib.reload(modules.ui)
@@ -148,8 +158,6 @@ def webui():
         print('Restarting Gradio')
 
 
-
-task = []
 if __name__ == "__main__":
     if cmd_opts.nowebui:
         api_only()

From f17769cfbc3b2f455a1c3df8a91c2f55820fe4ad Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 31 Oct 2022 17:57:16 +0300
Subject: [PATCH 317/321] add requirements for GitPython

---
 requirements.txt          | 1 +
 requirements_versions.txt | 1 +
 2 files changed, 2 insertions(+)

diff --git a/requirements.txt b/requirements.txt
index 75b37c4f..fff63e7d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -26,3 +26,4 @@ torchdiffeq
 kornia
 lark
 inflection
+GitPython
diff --git a/requirements_versions.txt b/requirements_versions.txt
index 72ccc5a3..41f2501f 100644
--- a/requirements_versions.txt
+++ b/requirements_versions.txt
@@ -23,3 +23,4 @@ torchdiffeq==0.2.3
 kornia==0.6.7
 lark==1.1.2
 inflection==0.5.1
+GitPython==3.1.27

From dc7425a56e7a014cbfa3b3d44ad2321e519fe378 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 31 Oct 2022 18:33:44 +0300
Subject: [PATCH 318/321] disable access to extension stuff for non-local
 servers

---
 modules/shared.py        |  5 ++++-
 modules/ui_extensions.py | 10 ++++++++++
 2 files changed, 14 insertions(+), 1 deletion(-)

diff --git a/modules/shared.py b/modules/shared.py
index cce87081..a27c654e 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -40,7 +40,7 @@ parser.add_argument("--lowram", action='store_true', help="load stable diffusion
 parser.add_argument("--always-batch-cond-uncond", action='store_true', help="disables cond/uncond batching that is enabled to save memory with --medvram or --lowvram")
 parser.add_argument("--unload-gfpgan", action='store_true', help="does not do anything.")
 parser.add_argument("--precision", type=str, help="evaluate at this precision", choices=["full", "autocast"], default="autocast")
-parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site (doesn't work for me but you might have better luck)")
+parser.add_argument("--share", action='store_true', help="use share=True for gradio and make the UI accessible through their site")
 parser.add_argument("--ngrok", type=str, help="ngrok authtoken, alternative to gradio --share", default=None)
 parser.add_argument("--ngrok-region", type=str, help="The region in which ngrok should start.", default="us")
 parser.add_argument("--codeformer-models-path", type=str, help="Path to directory with codeformer model file(s).", default=os.path.join(models_path, 'Codeformer'))
@@ -97,6 +97,9 @@ restricted_opts = {
     "outdir_save",
 }
 
+if cmd_opts.share or cmd_opts.listen:
+    cmd_opts.disable_extension_access = True
+
 devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_swinir, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
 (devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'])
 
diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py
index b7d747dc..e74b7d68 100644
--- a/modules/ui_extensions.py
+++ b/modules/ui_extensions.py
@@ -13,7 +13,13 @@ import html
 from modules import extensions, shared, paths
 
 
+def check_access():
+    assert not shared.cmd_opts.disable_extension_access, "extension access disabed because of commandline flags"
+
+
 def apply_and_restart(disable_list, update_list):
+    check_access()
+
     disabled = json.loads(disable_list)
     assert type(disabled) == list, f"wrong disable_list data for apply_and_restart: {disable_list}"
 
@@ -40,6 +46,8 @@ def apply_and_restart(disable_list, update_list):
 
 
 def check_updates():
+    check_access()
+
     for ext in extensions.extensions:
         if ext.remote is None:
             continue
@@ -89,6 +97,8 @@ def extension_table():
 
 
 def install_extension_from_url(dirname, url):
+    check_access()
+
     assert url, 'No URL specified'
 
     if dirname is None or dirname == "":

From 58cc03edd0fe8c7e64297bcfe51111caaafabfd7 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 31 Oct 2022 18:40:47 +0300
Subject: [PATCH 319/321] fix scripts I broke with the extension tab changes

---
 modules/extensions.py | 2 +-
 webui.py              | 3 ---
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/modules/extensions.py b/modules/extensions.py
index 8d6ae848..897af96e 100644
--- a/modules/extensions.py
+++ b/modules/extensions.py
@@ -46,7 +46,7 @@ class Extension:
 
         res = []
         for filename in sorted(os.listdir(dirpath)):
-            res.append(scripts.ScriptFile(dirpath, filename, os.path.join(dirpath, filename)))
+            res.append(scripts.ScriptFile(self.path, filename, os.path.join(dirpath, filename)))
 
         res = [x for x in res if os.path.splitext(x.path)[1].lower() == extension and os.path.isfile(x.path)]
 
diff --git a/webui.py b/webui.py
index ad2eb236..6ff95dc4 100644
--- a/webui.py
+++ b/webui.py
@@ -61,9 +61,6 @@ def wrap_gradio_gpu_call(func, extra_outputs=None):
 
 def initialize():
     extensions.list_extensions()
-    #for ext in extensions.extensions:
-    #    print(ext.name, ext.path, ext.enabled, ext.remote)
-    #exit()
 
     if cmd_opts.ui_debug_mode:
         shared.sd_upscalers = upscaler.UpscalerLanczos().scalers

From 9e22a357545c0395c81dd800c72fa18f350545ec Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Mon, 31 Oct 2022 18:45:50 +0300
Subject: [PATCH 320/321] fix the error with extension tab not working because
 of the previous commit

---
 modules/shared.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/modules/shared.py b/modules/shared.py
index a27c654e..c83fb9f5 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -97,8 +97,7 @@ restricted_opts = {
     "outdir_save",
 }
 
-if cmd_opts.share or cmd_opts.listen:
-    cmd_opts.disable_extension_access = True
+cmd_opts.disable_extension_access = cmd_opts.share or cmd_opts.listen
 
 devices.device, devices.device_interrogate, devices.device_gfpgan, devices.device_swinir, devices.device_esrgan, devices.device_scunet, devices.device_codeformer = \
 (devices.cpu if any(y in cmd_opts.use_cpu for y in [x, 'all']) else devices.get_optimal_device() for x in ['sd', 'interrogate', 'gfpgan', 'swinir', 'esrgan', 'scunet', 'codeformer'])

From 8954a6e7064e33250f1a8befd61e3f5df92d4e23 Mon Sep 17 00:00:00 2001
From: Dynamic <bradje@naver.com>
Date: Tue, 1 Nov 2022 01:29:46 +0900
Subject: [PATCH 321/321] Add Extension Manager strings

Since it's fixed and working I'm updating the translations
---
 localizations/ko_KR.json | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)

diff --git a/localizations/ko_KR.json b/localizations/ko_KR.json
index 09ee5c86..8d6c5123 100644
--- a/localizations/ko_KR.json
+++ b/localizations/ko_KR.json
@@ -9,6 +9,7 @@
   " images in this directory. Loaded ": "개의 이미지가 이 경로에 존재합니다. ",
   " pages": "페이지로 나뉘어 표시합니다.",
   ", divided into ": "입니다. ",
+  ". Use Installed tab to restart.": "에 성공적으로 설치하였습니다. 설치된 확장기능 탭에서 UI를 재시작해주세요.",
   "1st and last digit must be 1. ex:'1, 2, 1'": "1st and last digit must be 1. ex:'1, 2, 1'",
   "[wiki]": " [위키] 참조",
   "A directory on the same machine where the server is running.": "WebUI 서버가 돌아가고 있는 디바이스에 존재하는 디렉토리를 선택해 주세요.",
@@ -34,6 +35,7 @@
   "api": "",
   "append": "뒤에 삽입",
   "Append commas": "쉼표 삽입",
+  "Apply and restart UI": "적용 후 UI 재시작",
   "Apply color correction to img2img results to match original colors.": "이미지→이미지 결과물이 기존 색상과 일치하도록 색상 보정 적용하기",
   "Apply selected styles to current prompt": "현재 프롬프트에 선택된 스타일 적용",
   "Apply settings": "설정 적용하기",
@@ -44,6 +46,7 @@
   "Batch img2img": "이미지→이미지 배치",
   "Batch Process": "이미지 여러장 처리",
   "Batch size": "배치 크기",
+  "behind": "최신 아님",
   "BSRGAN 4x": "BSRGAN 4x",
   "built with gradio": "gradio로 제작되었습니다",
   "Cancel generate forever": "반복 생성 취소",
@@ -52,6 +55,7 @@
   "CFG Scale": "CFG 스케일",
   "cfg1 min/max": "CFG1 최소/최대",
   "cfg2 min/max": "CFG2 최소/최대",
+  "Check for updates": "업데이트 확인",
   "Check progress": "진행도 체크",
   "Check progress (first)": "진행도 체크 (처음)",
   "checkpoint": " 체크포인트 ",
@@ -136,6 +140,8 @@
   "Euler a": "Euler a",
   "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help": "Euler Ancestral - 매우 창의적, 스텝 수에 따라 완전히 다른 결과물이 나올 수 있음. 30~40보다 높은 스텝 수는 효과가 미미함",
   "Existing Caption txt Action": "이미 존재하는 캡션 텍스트 처리",
+  "Extension": "확장기능",
+  "Extensions": "확장기능",
   "Extra": "고급",
   "Extras": "부가기능",
   "extras": "부가기능",
@@ -216,6 +222,10 @@
   "Inpainting conditioning mask strength": "인페인팅 조절 마스크 강도",
   "Input directory": "인풋 이미지 경로",
   "Input images directory": "이미지 경로 입력",
+  "Install": "설치",
+  "Install from URL": "URL로부터 확장기능 설치",
+  "Installed": "설치된 확장기능",
+  "Installed into ": "확장기능을 ",
   "Interpolation Method": "보간 방법",
   "Interrogate\nCLIP": "CLIP\n분석",
   "Interrogate\nDeepBooru": "DeepBooru\n분석",
@@ -242,10 +252,12 @@
   "Last saved image:": "마지막으로 저장된 이미지 : ",
   "latent noise": "잠재 노이즈",
   "latent nothing": "잠재 공백",
+  "latest": "최신 버전",
   "LDSR": "LDSR",
   "LDSR processing steps. Lower = faster": "LDSR 스텝 수. 낮은 값 = 빠른 속도",
   "leakyrelu": "leakyrelu",
   "Leave blank to save images to the default path.": "기존 저장 경로에 이미지들을 저장하려면 비워두세요.",
+  "Leave empty for auto": "자동 설정하려면 비워두십시오",
   "left": "왼쪽",
   "linear": "linear",
   "List of prompt inputs": "프롬프트 입력 리스트",
@@ -254,6 +266,7 @@
   "LMS Karras": "LMS Karras",
   "Load": "불러오기",
   "Loading...": "로딩 중...",
+  "Local directory name": "로컬 경로 이름",
   "Localization (requires restart)": "현지화 (재시작 필요)",
   "Log directory": "로그 경로",
   "Loopback": "루프백",
@@ -486,7 +499,9 @@
   "txt2img": "텍스트→이미지",
   "txt2img history": "텍스트→이미지 기록",
   "uniform": "uniform",
+  "unknown": "알수 없음",
   "up": "위쪽",
+  "Update": "업데이트",
   "Upload mask": "마스크 업로드하기",
   "Upload prompt inputs": "입력할 프롬프트를 업로드하십시오",
   "Upscale Before Restoring Faces": "얼굴 보정을 진행하기 전에 업스케일링 먼저 진행하기",
@@ -498,9 +513,12 @@
   "Upscaler 2 visibility": "업스케일러 2 가시성",
   "Upscaler for img2img": "이미지→이미지 업스케일러",
   "Upscaling": "업스케일링",
+  "URL for extension's git repository": "확장기능의 git 레포 URL",
   "Use a two step process to partially create an image at smaller resolution, upscale, and then improve details in it without changing composition": "저해상도 이미지를 1차적으로 생성 후 업스케일을 진행하여, 이미지의 전체적인 구성을 바꾸지 않고 세부적인 디테일을 향상시킵니다.",
   "Use an empty output directory to save pictures normally instead of writing to the output directory.": "저장 경로를 비워두면 기본 저장 폴더에 이미지들이 저장됩니다.",
   "Use BLIP for caption": "캡션에 BLIP 사용",
+  "Use checkbox to enable the extension; it will be enabled or disabled when you click apply button": "체크박스를 이용해 적용할 확장기능을 선택하세요. 변경사항은 적용 후 UI 재시작 버튼을 눌러야 적용됩니다.",
+  "Use checkbox to mark the extension for update; it will be updated when you click apply button": "체크박스를 이용해 업데이트할 확장기능을 선택하세요. 업데이트는 적용 후 UI 재시작 버튼을 눌러야 적용됩니다.",
   "Use deepbooru for caption": "캡션에 deepbooru 사용",
   "Use dropout": "드롭아웃 사용",
   "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.": "다음 태그들을 사용해 이미지 파일명 형식을 결정하세요 : [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]. 비워두면 기본값으로 설정됩니다.",