add an option to enable sections from extras tab in txt2img/img2img
fix some style inconsistenices
This commit is contained in:
parent
645f4e7ef8
commit
7a14c8ab45
@ -13,7 +13,7 @@ from skimage import exposure
|
||||
from typing import Any, Dict, List, Optional
|
||||
|
||||
import modules.sd_hijack
|
||||
from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks, extra_networks, sd_vae_approx
|
||||
from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks, extra_networks, sd_vae_approx, scripts
|
||||
from modules.sd_hijack import model_hijack
|
||||
from modules.shared import opts, cmd_opts, state
|
||||
import modules.shared as shared
|
||||
@ -658,6 +658,11 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
|
||||
|
||||
image = Image.fromarray(x_sample)
|
||||
|
||||
if p.scripts is not None:
|
||||
pp = scripts.PostprocessImageArgs(image)
|
||||
p.scripts.postprocess_image(p, pp)
|
||||
image = pp.image
|
||||
|
||||
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(image, p.paste_to, i, p.overlay_images)
|
||||
|
@ -6,12 +6,16 @@ from collections import namedtuple
|
||||
|
||||
import gradio as gr
|
||||
|
||||
from modules.processing import StableDiffusionProcessing
|
||||
from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing
|
||||
|
||||
AlwaysVisible = object()
|
||||
|
||||
|
||||
class PostprocessImageArgs:
|
||||
def __init__(self, image):
|
||||
self.image = image
|
||||
|
||||
|
||||
class Script:
|
||||
filename = None
|
||||
args_from = None
|
||||
@ -65,7 +69,7 @@ class Script:
|
||||
args contains all values returned by components from ui()
|
||||
"""
|
||||
|
||||
raise NotImplementedError()
|
||||
pass
|
||||
|
||||
def process(self, p, *args):
|
||||
"""
|
||||
@ -100,6 +104,13 @@ class Script:
|
||||
|
||||
pass
|
||||
|
||||
def postprocess_image(self, p, pp: PostprocessImageArgs, *args):
|
||||
"""
|
||||
Called for every image after it has been generated.
|
||||
"""
|
||||
|
||||
pass
|
||||
|
||||
def postprocess(self, p, processed, *args):
|
||||
"""
|
||||
This function is called after processing ends for AlwaysVisible scripts.
|
||||
@ -247,11 +258,15 @@ class ScriptRunner:
|
||||
self.infotext_fields = []
|
||||
|
||||
def initialize_scripts(self, is_img2img):
|
||||
from modules import scripts_auto_postprocessing
|
||||
|
||||
self.scripts.clear()
|
||||
self.alwayson_scripts.clear()
|
||||
self.selectable_scripts.clear()
|
||||
|
||||
for script_class, path, basedir, script_module in scripts_data:
|
||||
auto_processing_scripts = scripts_auto_postprocessing.create_auto_preprocessing_script_data()
|
||||
|
||||
for script_class, path, basedir, script_module in auto_processing_scripts + scripts_data:
|
||||
script = script_class()
|
||||
script.filename = path
|
||||
script.is_txt2img = not is_img2img
|
||||
@ -332,7 +347,7 @@ class ScriptRunner:
|
||||
|
||||
return inputs
|
||||
|
||||
def run(self, p: StableDiffusionProcessing, *args):
|
||||
def run(self, p, *args):
|
||||
script_index = args[0]
|
||||
|
||||
if script_index == 0:
|
||||
@ -386,6 +401,15 @@ class ScriptRunner:
|
||||
print(f"Error running postprocess_batch: {script.filename}", file=sys.stderr)
|
||||
print(traceback.format_exc(), file=sys.stderr)
|
||||
|
||||
def postprocess_image(self, p, pp: PostprocessImageArgs):
|
||||
for script in self.alwayson_scripts:
|
||||
try:
|
||||
script_args = p.script_args[script.args_from:script.args_to]
|
||||
script.postprocess_image(p, pp, *script_args)
|
||||
except Exception:
|
||||
print(f"Error running postprocess_batch: {script.filename}", file=sys.stderr)
|
||||
print(traceback.format_exc(), file=sys.stderr)
|
||||
|
||||
def before_component(self, component, **kwargs):
|
||||
for script in self.scripts:
|
||||
try:
|
||||
|
42
modules/scripts_auto_postprocessing.py
Normal file
42
modules/scripts_auto_postprocessing.py
Normal file
@ -0,0 +1,42 @@
|
||||
from modules import scripts, scripts_postprocessing, shared
|
||||
|
||||
|
||||
class ScriptPostprocessingForMainUI(scripts.Script):
|
||||
def __init__(self, script_postproc):
|
||||
self.script: scripts_postprocessing.ScriptPostprocessing = script_postproc
|
||||
self.postprocessing_controls = None
|
||||
|
||||
def title(self):
|
||||
return self.script.name
|
||||
|
||||
def show(self, is_img2img):
|
||||
return scripts.AlwaysVisible
|
||||
|
||||
def ui(self, is_img2img):
|
||||
self.postprocessing_controls = self.script.ui()
|
||||
return self.postprocessing_controls.values()
|
||||
|
||||
def postprocess_image(self, p, script_pp, *args):
|
||||
args_dict = {k: v for k, v in zip(self.postprocessing_controls, args)}
|
||||
|
||||
pp = scripts_postprocessing.PostprocessedImage(script_pp.image)
|
||||
pp.info = {}
|
||||
self.script.process(pp, **args_dict)
|
||||
p.extra_generation_params.update(pp.info)
|
||||
script_pp.image = pp.image
|
||||
|
||||
|
||||
def create_auto_preprocessing_script_data():
|
||||
from modules import scripts
|
||||
|
||||
res = []
|
||||
|
||||
for name in shared.opts.postprocessing_enable_in_main_ui:
|
||||
script = next(iter([x for x in scripts.postprocessing_scripts_data if x.script_class.name == name]), None)
|
||||
if script is None:
|
||||
continue
|
||||
|
||||
constructor = lambda s=script: ScriptPostprocessingForMainUI(s.script_class())
|
||||
res.append(scripts.ScriptClassData(script_class=constructor, path=script.path, basedir=script.basedir, module=script.module))
|
||||
|
||||
return res
|
@ -46,6 +46,8 @@ class ScriptPostprocessing:
|
||||
pass
|
||||
|
||||
|
||||
|
||||
|
||||
def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
|
||||
try:
|
||||
res = func(*args, **kwargs)
|
||||
@ -68,6 +70,9 @@ class ScriptPostprocessingRunner:
|
||||
script: ScriptPostprocessing = script_class()
|
||||
script.filename = path
|
||||
|
||||
if script.name == "Simple Upscale":
|
||||
continue
|
||||
|
||||
self.scripts.append(script)
|
||||
|
||||
def create_script_ui(self, script, inputs):
|
||||
@ -87,12 +92,11 @@ class ScriptPostprocessingRunner:
|
||||
import modules.scripts
|
||||
self.initialize_scripts(modules.scripts.postprocessing_scripts_data)
|
||||
|
||||
scripts_order = [x.lower().strip() for x in shared.opts.postprocessing_scipts_order.split(",")]
|
||||
scripts_order = shared.opts.postprocessing_operation_order
|
||||
|
||||
def script_score(name):
|
||||
name = name.lower()
|
||||
for i, possible_match in enumerate(scripts_order):
|
||||
if possible_match in name:
|
||||
if possible_match == name:
|
||||
return i
|
||||
|
||||
return len(self.scripts)
|
||||
@ -145,3 +149,4 @@ class ScriptPostprocessingRunner:
|
||||
def image_changed(self):
|
||||
for script in self.scripts_in_preferred_order():
|
||||
script.image_changed()
|
||||
|
||||
|
@ -13,8 +13,8 @@ import modules.interrogate
|
||||
import modules.memmon
|
||||
import modules.styles
|
||||
import modules.devices as devices
|
||||
from modules import localization, sd_vae, extensions, script_loading, errors, ui_components
|
||||
from modules.paths import models_path, script_path, sd_path
|
||||
from modules import localization, sd_vae, extensions, script_loading, errors, ui_components, shared_items
|
||||
from modules.paths import models_path, script_path
|
||||
|
||||
|
||||
demo = None
|
||||
@ -264,12 +264,6 @@ interrogator = modules.interrogate.InterrogateModels("interrogate")
|
||||
|
||||
face_restorers = []
|
||||
|
||||
|
||||
def realesrgan_models_names():
|
||||
import modules.realesrgan_model
|
||||
return [x.name for x in modules.realesrgan_model.get_realesrgan_models(None)]
|
||||
|
||||
|
||||
class OptionInfo:
|
||||
def __init__(self, default=None, label="", component=None, component_args=None, onchange=None, section=None, refresh=None):
|
||||
self.default = default
|
||||
@ -360,7 +354,7 @@ options_templates.update(options_section(('saving-to-dirs', "Saving to a directo
|
||||
options_templates.update(options_section(('upscaling', "Upscaling"), {
|
||||
"ESRGAN_tile": OptionInfo(192, "Tile size for ESRGAN upscalers. 0 = no tiling.", gr.Slider, {"minimum": 0, "maximum": 512, "step": 16}),
|
||||
"ESRGAN_tile_overlap": OptionInfo(8, "Tile overlap, in pixels for ESRGAN upscalers. Low values = visible seam.", gr.Slider, {"minimum": 0, "maximum": 48, "step": 1}),
|
||||
"realesrgan_enabled_models": OptionInfo(["R-ESRGAN 4x+", "R-ESRGAN 4x+ Anime6B"], "Select which Real-ESRGAN models to show in the web UI. (Requires restart)", gr.CheckboxGroup, lambda: {"choices": realesrgan_models_names()}),
|
||||
"realesrgan_enabled_models": OptionInfo(["R-ESRGAN 4x+", "R-ESRGAN 4x+ Anime6B"], "Select which Real-ESRGAN models to show in the web UI. (Requires restart)", gr.CheckboxGroup, lambda: {"choices": shared_items.realesrgan_models_names()}),
|
||||
"upscaler_for_img2img": OptionInfo(None, "Upscaler for img2img", gr.Dropdown, lambda: {"choices": [x.name for x in sd_upscalers]}),
|
||||
}))
|
||||
|
||||
@ -483,7 +477,8 @@ options_templates.update(options_section(('sampler-params', "Sampler parameters"
|
||||
}))
|
||||
|
||||
options_templates.update(options_section(('postprocessing', "Postprocessing"), {
|
||||
'postprocessing_scipts_order': OptionInfo("upscale, gfpgan, codeformer", "Postprocessing operation order"),
|
||||
'postprocessing_enable_in_main_ui': OptionInfo([], "Enable postprocessing operations in txt2img and img2img tabs", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),
|
||||
'postprocessing_operation_order': OptionInfo([], "Postprocessing operation order", ui_components.DropdownMulti, lambda: {"choices": [x.name for x in shared_items.postprocessing_scripts()]}),
|
||||
'upscaling_max_images_in_cache': OptionInfo(5, "Maximum number of images in upscaling cache", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
|
||||
}))
|
||||
|
||||
|
10
modules/shared_items.py
Normal file
10
modules/shared_items.py
Normal file
@ -0,0 +1,10 @@
|
||||
|
||||
|
||||
def realesrgan_models_names():
|
||||
import modules.realesrgan_model
|
||||
return [x.name for x in modules.realesrgan_model.get_realesrgan_models(None)]
|
||||
|
||||
def postprocessing_scripts():
|
||||
import modules.scripts
|
||||
|
||||
return modules.scripts.scripts_postproc.scripts
|
@ -48,3 +48,11 @@ class FormColorPicker(gr.ColorPicker, gr.components.FormComponent):
|
||||
def get_block_name(self):
|
||||
return "colorpicker"
|
||||
|
||||
|
||||
class DropdownMulti(gr.Dropdown):
|
||||
"""Same as gr.Dropdown but always multiselect"""
|
||||
def __init__(self, **kwargs):
|
||||
super().__init__(multiselect=True, **kwargs)
|
||||
|
||||
def get_block_name(self):
|
||||
return "dropdown"
|
||||
|
@ -104,3 +104,28 @@ class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
|
||||
|
||||
def image_changed(self):
|
||||
upscale_cache.clear()
|
||||
|
||||
|
||||
class ScriptPostprocessingUpscaleSimple(ScriptPostprocessingUpscale):
|
||||
name = "Simple Upscale"
|
||||
order = 900
|
||||
|
||||
def ui(self):
|
||||
with FormRow():
|
||||
upscaler_name = gr.Dropdown(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
|
||||
upscale_by = gr.Slider(minimum=0.05, maximum=8.0, step=0.05, label="Upscale by", value=2)
|
||||
|
||||
return {
|
||||
"upscale_by": upscale_by,
|
||||
"upscaler_name": upscaler_name,
|
||||
}
|
||||
|
||||
def process(self, pp: scripts_postprocessing.PostprocessedImage, upscale_by=2.0, upscaler_name=None):
|
||||
if upscaler_name is None or upscaler_name == "None":
|
||||
return
|
||||
|
||||
upscaler1 = next(iter([x for x in shared.sd_upscalers if x.name == upscaler_name]), None)
|
||||
assert upscaler1, f'could not find upscaler named {upscaler_name}'
|
||||
|
||||
pp.image = self.upscale(pp.image, pp.info, upscaler1, 0, upscale_by, 0, 0, False)
|
||||
pp.info[f"Postprocess upscaler"] = upscaler1.name
|
||||
|
@ -164,7 +164,7 @@
|
||||
min-height: 3.2em;
|
||||
}
|
||||
|
||||
#txt2img_styles ul, #img2img_styles ul{
|
||||
ul.list-none{
|
||||
max-height: 35em;
|
||||
z-index: 2000;
|
||||
}
|
||||
@ -714,9 +714,6 @@ footer {
|
||||
white-space: nowrap;
|
||||
min-width: auto;
|
||||
}
|
||||
#txt2img_hires_fix{
|
||||
margin-left: -0.8em;
|
||||
}
|
||||
|
||||
#img2img_copy_to_img2img, #img2img_copy_to_sketch, #img2img_copy_to_inpaint, #img2img_copy_to_inpaint_sketch{
|
||||
margin-left: 0em;
|
||||
@ -744,7 +741,6 @@ footer {
|
||||
|
||||
.dark .gr-compact{
|
||||
background-color: rgb(31 41 55 / var(--tw-bg-opacity));
|
||||
margin-left: 0.8em;
|
||||
}
|
||||
|
||||
.gr-compact{
|
||||
|
Loading…
Reference in New Issue
Block a user