Merge branch 'master' into esrgan_mod

modules/hypernetwork.py

@@ -49,15 +49,18 @@ def list_hypernetworks(path):
 
 
 def load_hypernetwork(filename):
-    print(f"Loading hypernetwork {filename}")
     path = shared.hypernetworks.get(filename, None)
-    if (path is not None):
+    if path is not None:
+        print(f"Loading hypernetwork {filename}")
         try:
             shared.loaded_hypernetwork = Hypernetwork(path)
         except Exception:
             print(f"Error loading hypernetwork {path}", file=sys.stderr)
             print(traceback.format_exc(), file=sys.stderr)
     else:
+        if shared.loaded_hypernetwork is not None:
+            print(f"Unloading hypernetwork")
+
         shared.loaded_hypernetwork = None
 
 

modules/processing.py

@@ -284,6 +284,8 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments, iteration
         "Face restoration": (opts.face_restoration_model if p.restore_faces else None),
         "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.replace(',', '').replace(':', '')),
         "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]),

modules/sd_models.py

@@ -5,7 +5,6 @@ from collections import namedtuple
 import torch
 from omegaconf import OmegaConf
 
-
 from ldm.util import instantiate_from_config
 
 from modules import shared, modelloader, devices

modules/shared.py

@@ -242,6 +242,7 @@ options_templates.update(options_section(('ui', "User interface"), {
     "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"),
+    "add_model_name_to_info": OptionInfo(False, "Add model name to generation information"),
     "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"),

modules/upscaler.py

@@ -37,7 +37,7 @@ class Upscaler:
         self.pre_pad = 0
         self.mod_scale = None
 
-        if self.model_path is not None and self.name:
+        if self.model_path is None and self.name:
             self.model_path = os.path.join(models_path, self.name)
         if self.model_path and create_dirs:
             os.makedirs(self.model_path, exist_ok=True)

scripts/xy_grid.py

@@ -10,7 +10,7 @@ import numpy as np
 import modules.scripts as scripts
 import gradio as gr
 
-from modules import images
+from modules import images, hypernetwork
 from modules.processing import process_images, Processed, get_correct_sampler
 from modules.shared import opts, cmd_opts, state
 import modules.shared as shared
@@ -80,8 +80,7 @@ def apply_checkpoint(p, x, xs):
 
 
 def apply_hypernetwork(p, x, xs):
-    hn = shared.hypernetworks.get(x, None)
+    hypernetwork.load_hypernetwork(x)
-    opts.data["sd_hypernetwork"] = hn.name if hn is not None else 'None'
 
 
 def format_value_add_label(p, opt, x):
@@ -203,8 +202,6 @@ class Script(scripts.Script):
 
         p.batch_size = 1
 
-        initial_hn = opts.sd_hypernetwork
-
         def process_axis(opt, vals):
             if opt.label == 'Nothing':
                 return [0]
@@ -262,6 +259,7 @@ class Script(scripts.Script):
             
             # Confirm options are valid before starting
             if opt.label == "Sampler":
+                samplers_dict = build_samplers_dict(p)
                 for sampler_val in valslist:
                     if sampler_val.lower() not in samplers_dict.keys():
                         raise RuntimeError(f"Unknown sampler: {sampler_val}")
@@ -321,6 +319,6 @@ class Script(scripts.Script):
         # restore checkpoint in case it was changed by axes
         modules.sd_models.reload_model_weights(shared.sd_model)
 
-        opts.data["sd_hypernetwork"] = initial_hn
+        hypernetwork.load_hypernetwork(opts.sd_hypernetwork)
 
         return processed