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webui.py
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webui.py
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import argparse
import shared
from pathlib import Path
from shared import (
state,
add_ctrl,
performance_settings,
resolution_settings,
path_manager,
)
import time
import json
import gradio as gr
import re
import version
import modules.async_worker as worker
import modules.html
import modules.hints
import ui_onebutton
import ui_controlnet
from modules.interrogate import look
from comfy.samplers import KSampler
from modules.sdxl_styles import load_styles, styles, allstyles, apply_style
from modules.settings import default_settings
from modules.prompt_processing import get_promptlist
from modules.util import (
get_wildcard_files,
load_keywords,
get_checkpoint_thumbnail,
get_lora_thumbnail,
get_model_thumbnail,
)
from modules.path import PathManager
from modules.civit import Civit
from PIL import Image
inpaint_toggle = None
path_manager = PathManager()
civit_checkpoints = Civit(
model_dir=Path(path_manager.model_paths["modelfile_path"]),
cache_path=Path(path_manager.model_paths["cache_path"] / "checkpoints")
)
civit_loras = Civit(
model_dir=Path(path_manager.model_paths["lorafile_path"]),
cache_path=Path(path_manager.model_paths["cache_path"] / "loras")
)
def find_unclosed_markers(s):
markers = re.findall(r"__", s)
for marker in markers:
if s.count(marker) % 2 != 0:
return s.split(marker)[-1]
return None
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument("--port", type=int, default=None, help="Set the listen port.")
parser.add_argument(
"--share", action="store_true", help="Set whether to share on Gradio."
)
parser.add_argument("--auth", type=str, help="Set credentials username/password.")
parser.add_argument(
"--listen",
type=str,
default=None,
metavar="IP",
nargs="?",
const="0.0.0.0",
help="Set the listen interface.",
)
parser.add_argument(
"--nobrowser", action="store_true", help="Do not launch in browser."
)
return parser
def parse_args():
parser = get_parser()
return parser.parse_args()
def launch_app(args):
inbrowser = not args.nobrowser
favicon_path = "logo.ico"
shared.gradio_root.queue(concurrency_count=4)
shared.gradio_root.launch(
inbrowser=inbrowser,
server_name=args.listen,
server_port=args.port,
share=args.share,
auth=(
args.auth.split("/", 1)
if isinstance(args.auth, str) and "/" in args.auth
else None
),
favicon_path=favicon_path,
)
def update_clicked():
return {
run_button: gr.update(interactive=False, visible=False),
stop_button: gr.update(interactive=True, visible=True),
progress_html: gr.update(
visible=True,
value=modules.html.make_progress_html(0, "Please wait ..."),
),
gallery: gr.update(visible=False),
main_view: gr.update(visible=True, value="init_image.png"),
inpaint_view: gr.update(visible=False),
hint_text: gr.update(visible=True, value=modules.hints.get_hint()),
}
def update_preview(product):
percentage, title, image = product
return {
run_button: gr.update(interactive=False, visible=False),
stop_button: gr.update(interactive=True, visible=True),
progress_html: gr.update(
visible=True, value=modules.html.make_progress_html(percentage, title)
),
main_view: (
gr.update(visible=True, value=image) if image is not None else gr.update()
),
}
def update_results(product):
metadata = {"Data": "Preview Grid"}
if len(product) > 0:
with Image.open(product[0]) as im:
if im.info.get("parameters"):
metadata = im.info["parameters"]
return {
run_button: gr.update(interactive=True, visible=True),
stop_button: gr.update(interactive=False, visible=False),
progress_html: gr.update(visible=False),
main_view: gr.update(value=product[0]) if len(product) > 0 else gr.update(),
inpaint_toggle: gr.update(value=False),
gallery: gr.update(
visible=True, allow_preview=True, preview=True, value=product
),
metadata_json: gr.update(value=metadata),
}
def append_work(gen_data):
tmp_data = gen_data.copy()
if tmp_data["obp_assume_direct_control"]:
prompts = []
prompts.append("")
else:
prompts = get_promptlist(tmp_data)
idx = 0
worker.buffer.append(
{"task_type": "start", "image_total": len(prompts) * tmp_data["image_number"]}
)
for prompt in prompts:
tmp_data["task_type"] = "process"
tmp_data["prompt"] = prompt
tmp_data["index"] = (idx, len(prompts))
idx += 1
worker.buffer.append(tmp_data.copy())
def generate_clicked(*args):
global status
yield update_clicked()
gen_data = {}
for key, val in zip(state["ctrls_name"], args):
gen_data[key] = val
if int(gen_data["image_number"]) == 0:
generate_forever = True
else:
generate_forever = False
gen_data["generate_forever"] = generate_forever
append_work(gen_data)
shared.state["interrupted"] = False
finished = False
while not finished:
time.sleep(0.1)
if not worker.outputs:
continue
flag, product = worker.outputs.pop(0)
if flag == "preview":
yield update_preview(product)
elif flag == "results":
if generate_forever and shared.state["interrupted"] == False:
worker.buffer.append({"task_type": "stop"})
append_work(gen_data)
else:
yield update_results(product)
finished = True
worker.buffer.append({"task_type": "stop"})
shared.state["interrupted"] = False
def calculateTokenCounter(text):
if len(text) < 1:
return 0
return len(shared.tokenizer.tokenize(text))
settings = default_settings
if settings["theme"] == "None":
theme = gr.themes.Default()
else:
theme = settings["theme"]
metadata_json = gr.Json()
shared.wildcards = get_wildcard_files()
shared.gradio_root = gr.Blocks(
title="RuinedFooocus " + version.version,
theme=theme,
css=modules.html.css,
analytics_enabled=True,
concurrency_count=4,
).queue()
with shared.gradio_root as block:
block.load(_js=modules.html.scripts)
run_event = gr.Number(visible=False, value=0)
with gr.Row():
with gr.Column(scale=5):
main_view = gr.Image(
value="init_image.png",
height=680,
type="filepath",
visible=True,
show_label=False,
image_mode="RGBA",
)
add_ctrl("main_view", main_view)
inpaint_view = gr.Image(
height=680,
type="numpy",
elem_id="inpaint_sketch",
tool="sketch",
visible=False,
image_mode="RGBA",
)
add_ctrl("inpaint_view", inpaint_view)
progress_html = gr.HTML(
value=modules.html.make_progress_html(32, "Progress 32%"),
visible=False,
elem_id="progress-bar",
elem_classes="progress-bar",
)
gallery = gr.Gallery(
label="Gallery",
show_label=False,
object_fit="scale-down",
height=60,
allow_preview=True,
preview=True,
visible=True,
show_download_button=False,
)
@gallery.select(
inputs=[gallery],
outputs=[main_view, metadata_json],
show_progress="hidden",
)
def gallery_change(files, sd: gr.SelectData):
names = files[sd.index]["name"]
with Image.open(files[sd.index]["name"]) as im:
if im.info.get("parameters"):
metadata = im.info["parameters"]
else:
metadata = {"Data": "Preview Grid"}
return [names] + [gr.update(value=metadata)]
with gr.Row(elem_classes="type_row"):
with gr.Column(scale=5):
with gr.Group():
with gr.Group(), gr.Row():
prompt = gr.Textbox(
show_label=False,
placeholder="Type prompt here.",
container=False,
autofocus=True,
elem_classes="type_row",
lines=1024,
value=settings["prompt"],
scale=4,
)
add_ctrl("prompt", prompt)
spellcheck = gr.Dropdown(
label="Wildcards",
visible=False,
choices=[],
value="",
scale=1,
)
prompt_token_counter = gr.HTML(
visible=settings["advanced_mode"],
value=str(
calculateTokenCounter(settings["prompt"])
), # start with token count for default prompt
elem_classes=["tokenCounter"],
)
@prompt.change(inputs=prompt, outputs=prompt_token_counter)
def updatePromptTokenCount(text):
return calculateTokenCounter(text)
@prompt.input(inputs=prompt, outputs=spellcheck)
def checkforwildcards(text):
test = find_unclosed_markers(text)
tokencount = len(shared.tokenizer.tokenize(text))
if test is not None:
filtered = [s for s in shared.wildcards if test in s]
filtered.append(" ")
return {
spellcheck: gr.update(
interactive=True,
visible=True,
choices=filtered,
value=" ",
)
}
else:
return {
spellcheck: gr.update(interactive=False, visible=False)
}
@spellcheck.select(inputs=[prompt, spellcheck], outputs=prompt)
def select_spellcheck(text, selection):
last_idx = text.rindex("__")
newtext = f"{text[:last_idx]}__{selection}__"
return {prompt: gr.update(value=newtext)}
with gr.Column(scale=1, min_width=0):
run_button = gr.Button(value="Generate", elem_id="generate", api_name="generate")
stop_button = gr.Button(
value="Stop", interactive=False, visible=False
)
@main_view.upload(
inputs=[main_view, prompt], outputs=[prompt, gallery]
)
def load_images_handler(file, prompt):
image = Image.open(file)
params = look(image, prompt, gr)
return params, [file]
with gr.Row():
advanced_checkbox = gr.Checkbox(
label="Hurt me plenty",
value=settings["advanced_mode"],
container=False,
elem_id="hurtme",
)
with gr.Column(scale=2, visible=settings["advanced_mode"]) as right_col:
with gr.Tab(label="Setting"):
performance_selection = gr.Dropdown(
label="Performance",
choices=list(performance_settings.performance_options.keys())
+ [performance_settings.CUSTOM_PERFORMANCE],
value=settings["performance"],
)
add_ctrl("performance_selection", performance_selection)
perf_name = gr.Textbox(
show_label=False,
placeholder="Name",
interactive=True,
visible=False,
)
perf_save = gr.Button(
value="Save",
visible=False,
)
custom_default_values = performance_settings.get_perf_options(
settings["performance"]
)
custom_steps = gr.Slider(
label="Custom Steps",
minimum=1,
maximum=200,
step=1,
value=custom_default_values["custom_steps"],
visible=False,
)
add_ctrl("custom_steps", custom_steps)
cfg = gr.Slider(
label="CFG",
minimum=0.0,
maximum=20.0,
step=0.1,
value=custom_default_values["cfg"],
visible=False,
)
add_ctrl("cfg", cfg)
sampler_name = gr.Dropdown(
label="Sampler",
choices=KSampler.SAMPLERS,
value=custom_default_values["sampler_name"],
visible=False,
)
add_ctrl("sampler_name", sampler_name)
scheduler = gr.Dropdown(
label="Scheduler",
choices=KSampler.SCHEDULERS,
value=custom_default_values["scheduler"],
visible=False,
)
add_ctrl("scheduler", scheduler)
clip_skip = gr.Slider(
label="Clip Skip",
minimum=1,
maximum=5,
step=1,
value=1,
visible=False,
)
add_ctrl("clip_skip", clip_skip)
performance_outputs = [
perf_name,
perf_save,
cfg,
sampler_name,
scheduler,
clip_skip,
custom_steps,
]
@perf_save.click(
inputs=performance_outputs,
outputs=[performance_selection],
)
def performance_save(
perf_name,
perf_save,
cfg,
sampler_name,
scheduler,
clip_skip,
custom_steps,
):
if perf_name != "":
perf_options = performance_settings.load_performance()
opts = {
"custom_steps": custom_steps,
"cfg": cfg,
"sampler_name": sampler_name,
"scheduler": scheduler,
"clip_skip": clip_skip,
}
perf_options[perf_name] = opts
performance_settings.save_performance(perf_options)
choices = list(perf_options.keys()) + [
performance_settings.CUSTOM_PERFORMANCE
]
return gr.update(choices=choices, value=perf_name)
else:
return gr.update()
with gr.Group():
aspect_ratios_selection = gr.Dropdown(
label="Aspect Ratios (width x height)",
choices=list(resolution_settings.aspect_ratios.keys())
+ [resolution_settings.CUSTOM_RESOLUTION],
value=settings["resolution"],
)
add_ctrl("aspect_ratios_selection", aspect_ratios_selection)
ratio_name = gr.Textbox(
show_label=False,
placeholder="Name",
interactive=True,
visible=False,
)
default_resolution = resolution_settings.get_aspect_ratios(
settings["resolution"]
)
custom_width = gr.Slider(
label="Width",
minimum=256,
maximum=4096,
step=2,
visible=False,
value=default_resolution[0],
)
add_ctrl("custom_width", custom_width)
custom_height = gr.Slider(
label="Height",
minimum=256,
maximum=4096,
step=2,
visible=False,
value=default_resolution[1],
)
add_ctrl("custom_height", custom_height)
ratio_save = gr.Button(
value="Save",
visible=False,
)
@ratio_save.click(
inputs=[ratio_name, custom_width, custom_height],
outputs=[aspect_ratios_selection],
)
def ratio_save_click(ratio_name, custom_width, custom_height):
if ratio_name != "":
ratio_options = resolution_settings.load_resolutions()
ratio_options[ratio_name] = (custom_width, custom_height)
resolution_settings.save_resolutions(ratio_options)
choices = list(resolution_settings.aspect_ratios.keys()) + [
resolution_settings.CUSTOM_RESOLUTION
]
new_ratio_name = (
f"{custom_width}x{custom_height} ({ratio_name})"
)
return gr.update(choices=choices, value=new_ratio_name)
else:
return gr.update()
style_selection = gr.Dropdown(
label="Style Selection",
multiselect=True,
container=True,
choices=list(load_styles().keys()),
value=settings["style"],
)
add_ctrl("style_selection", style_selection)
style_button = gr.Button(value="⬅️ Send Style to prompt", size="sm")
image_number = gr.Slider(
label="Image Number",
minimum=0,
maximum=50,
step=1,
value=settings["image_number"],
)
add_ctrl("image_number", image_number)
auto_negative_prompt = gr.Checkbox(
label="Auto Negative Prompt",
show_label=True,
value=settings["auto_negative_prompt"],
)
add_ctrl("auto_negative", auto_negative_prompt)
negative_prompt = gr.Textbox(
label="Negative Prompt",
show_label=True,
placeholder="Type prompt here.",
value=settings["negative_prompt"],
)
add_ctrl("negative", negative_prompt)
seed_random = gr.Checkbox(
label="Random Seed", value=settings["seed_random"]
)
image_seed = gr.Number(
label="Seed",
value=settings["seed"],
precision=0,
visible=not settings["seed_random"],
)
add_ctrl("seed", image_seed)
@style_button.click(
inputs=[prompt, negative_prompt, style_selection],
outputs=[prompt, negative_prompt, style_selection],
)
def send_to_prompt(prompt_text, negative_text, style_inputs):
prompt_style, negative_style = apply_style(
style_inputs, prompt_text, negative_text, ""
)
return prompt_style, negative_style, []
@seed_random.change(inputs=[seed_random], outputs=[image_seed])
def random_checked(r):
return gr.update(visible=not r)
def refresh_seed(r, s):
if r:
return -1
else:
return s
with gr.Tab(label="Models"):
if settings["base_model"] not in path_manager.model_filenames:
settings["base_model"] = path_manager.model_filenames[0]
with gr.Tab(label="Model"):
model_current = gr.HTML(
value=f"{settings['base_model']}",
container=False,
interactive=False,
)
with gr.Group():
modelfilter = gr.Textbox(
placeholder="Model name",
value="",
show_label=False,
container=False,
)
model_gallery = gr.Gallery(
label=f"SDXL model: {settings['base_model']}",
show_label=False,
object_fit="scale-down",
height=550,
allow_preview=False,
preview=False,
visible=True,
show_download_button=False,
min_width=60,
value=list(
map(
lambda x: (get_checkpoint_thumbnail(x), x),
path_manager.model_filenames,
)
),
)
base_model = gr.Text(
visible=False,
value=settings["base_model"],
)
add_ctrl("base_model_name", base_model)
@modelfilter.input(inputs=modelfilter, outputs=[model_gallery])
def update_model_filter(filtered):
filtered_filenames = filter(
lambda filename: filtered.lower() in filename.lower(),
path_manager.model_filenames,
)
newlist = list(
map(
lambda x: (get_checkpoint_thumbnail(x), x),
filtered_filenames,
)
)
return gr.update(value=newlist)
def update_model_select(evt: gr.SelectData):
model_name = f"{evt.value[1]}"
models = civit_checkpoints.get_models_by_path(path_manager.model_paths["modelfile_path"] / Path(model_name))
model_base = civit_checkpoints.get_model_base(models)
txt = f"{evt.value[1]}<br>Model type: {model_base}"
return {
model_current: gr.update(value=txt),
base_model: gr.update(value=model_name),
}
model_gallery.select(
update_model_select, None, outputs=[model_current, base_model]
)
with gr.Tab(label="LoRAs"):
with gr.Group(visible=False) as lora_add:
lorafilter = gr.Textbox(
placeholder="Search LoRA",
value="",
show_label=False,
container=False,
)
lora_gallery = gr.Gallery(
label=f"LoRA model",
show_label=False,
object_fit="scale-down",
height=510,
allow_preview=False,
preview=False,
show_download_button=False,
min_width=60,
value=list(
map(
lambda x: (get_lora_thumbnail(x), x),
path_manager.lora_filenames,
)
),
)
lora_cancel_btn = gr.Button(
value="cancel",
scale=1,
)
default_active = []
for i in range(1,6):
m = default_settings.get(f"lora_{i}_model", "None")
w = default_settings.get(f"lora_{i}_weight", 0.0)
if m != "" and m != "None":
default_active.append((get_lora_thumbnail(m), f"{w} - {m}"))
with gr.Group(visible=True) as lora_active:
with gr.Row():
lora_weight_slider = gr.Slider(
label="Weight",
show_label=True,
minimum=0,
maximum=2,
step=0.05,
value=1.0,
interactive=True,
)
lora_active_gallery = gr.Gallery(
label=f"LoRA model",
show_label=False,
object_fit="scale-down",
height=510,
allow_preview=False,
preview=False,
visible=True,
show_download_button=False,
min_width=60,
value=default_active,
)
add_ctrl("loras", lora_active_gallery)
with gr.Group(), gr.Row():
lora_add_btn = gr.Button(
value="+",
scale=1,
)
lora_del_btn = gr.Button(
value="-",
scale=1,
)
lora_keywords = gr.Textbox(
label="LoRA Trigger Words", interactive=False
)
add_ctrl("lora_keywords", lora_keywords)
with gr.Tab(label="MergeMaker"):
with gr.Group():
mm_name = gr.Textbox(
show_label=False,
placeholder="Name(.merge)",
container=False,
)
mm_comment = gr.Textbox(
show_label=False,
placeholder="Comment",
container=False,
)
mm_cache = gr.Checkbox(
label="Save cached safetensor of merged model",
value=False,
container=False,
)
with gr.Group(visible=False) as mm_add:
mm_filter = gr.Textbox(
placeholder="Search model/LoRA",
value="",
show_label=False,
container=False,
)
mm_gallery = gr.Gallery(
label=f"Models",
show_label=False,
object_fit="scale-down",
height=410,
allow_preview=False,
preview=False,
show_download_button=False,
min_width=60,
value=list(
map(
lambda x: (get_checkpoint_thumbnail(x), f"C:{x}"),
path_manager.model_filenames,
)
) + list (
map(
lambda x: (get_lora_thumbnail(x), f"L:{x}"),
path_manager.lora_filenames,
)
),
)
mm_cancel_btn = gr.Button(
value="cancel",
scale=1,
)
with gr.Group(visible=True) as mm_active:
with gr.Row():
mm_weight_slider = gr.Slider(
label="Weight",
show_label=True,
minimum=0,
maximum=2,
step=0.05,
value=1.0,
interactive=True,
)
mm_active_gallery = gr.Gallery(
label=f"Models",
show_label=False,
object_fit="scale-down",
height=410,
allow_preview=False,
preview=False,
visible=True,
show_download_button=False,
min_width=60,
value=[],
)
add_ctrl("mm_models", mm_active_gallery)
with gr.Group(), gr.Row():
mm_add_btn = gr.Button(
value="+",
scale=1,
)
mm_del_btn = gr.Button(
value="-",
scale=1,
)
mm_save_btn = gr.Button(
value="Save",
)
def gallery_toggle():
result = [
gr.update(visible=True),
gr.update(visible=False),
]
return result
# LoRA
@lorafilter.input(inputs=lorafilter, outputs=[lora_gallery])
def update_lora_filter(filtered):
filtered_filenames = filter(
lambda filename: filtered.lower() in filename.lower(),
path_manager.lora_filenames,
)
newlist = list(
map(
lambda x: (get_lora_thumbnail(x), x),
filtered_filenames,
)
)
return gr.update(value=newlist)
def lora_select(gallery, evt: gr.SelectData):
w = 1.0
keywords = ""
for lora_data in gallery:
w, l = lora_data[1].split(" - ", 1)
keywords = f"{keywords}, {load_keywords(l)} "
keywords = f"{keywords}, {load_keywords(evt.value[1])} "
loras = []
for lora_data in gallery:
loras.append((lora_data[0]["name"], lora_data[1]))
loras.append(
(get_lora_thumbnail(evt.value[1]), f"{w} - {evt.value[1]}")
)
return {
lora_add: gr.update(visible=False),
lora_active: gr.update(visible=True),
lora_active_gallery: gr.update(value=loras),
lora_keywords: gr.update(value=keywords),
}
lora_active_selected = None
def lora_active_select(gallery, evt: gr.SelectData):
global lora_active_selected
lora_active_selected = evt.index
loras = []
for lora_data in gallery:
loras.append((lora_data[0]["name"], lora_data[1]))
return {
lora_active: gr.update(),
lora_active_gallery: gr.update(),
lora_weight_slider: gr.update(
value=float(loras[evt.index][1].split(" - ", 1)[0])
),
}
def lora_delete(gallery):
global lora_active_selected
if lora_active_selected is not None:
del gallery[lora_active_selected]
if lora_active_selected >= len(gallery):
lora_active_selected = None
keywords = ""
loras = []
for lora_data in gallery:
w, l = lora_data[1].split(" - ", 1)
loras.append((lora_data[0]["name"], lora_data[1]))
keywords = f"{keywords}, {load_keywords(l)} "
return {
lora_active_gallery: gr.update(value=loras),
lora_keywords: gr.update(value=keywords),
}
def lora_weight_slider_update(gallery, w):
global lora_active_selected
if lora_active_selected is None:
return {lora_active_gallery: gr.update()}
loras = []
for lora_data in gallery:
loras.append((lora_data[0]["name"], lora_data[1]))
l = gallery[lora_active_selected][1].split(" - ")[1]
loras[lora_active_selected] = (get_lora_thumbnail(l), f"{w} - {l}")
return {
lora_active_gallery: gr.update(value=loras),
}
lora_weight_slider.release(
fn=lora_weight_slider_update,
inputs=[lora_active_gallery, lora_weight_slider],
outputs=[lora_active_gallery],
)
lora_add_btn.click(
fn=gallery_toggle,
outputs=[lora_add, lora_active],
)
lora_cancel_btn.click(
fn=gallery_toggle,
outputs=[lora_active, lora_add],
)
lora_del_btn.click(
fn=lora_delete,
inputs=lora_active_gallery,
outputs=[lora_active_gallery, lora_keywords],
)
lora_gallery.select(
fn=lora_select,
inputs=[lora_active_gallery],
outputs=[lora_add, lora_active, lora_active_gallery, lora_keywords],
)
lora_active_gallery.select(
fn=lora_active_select,
inputs=[lora_active_gallery],
outputs=[lora_active, lora_active_gallery, lora_weight_slider],
)
# MM
@mm_filter.input(inputs=mm_filter, outputs=[mm_gallery])
def update_mm_filter(filtered):
filtered_models = filter(
lambda filename: ".merge" not in filename.lower(),
path_manager.model_filenames,
)
filtered_models = filter(
lambda filename: filtered.lower() in filename.lower(),
filtered_models,
)
filtered_loras = filter(
lambda filename: filtered.lower() in filename.lower(),
path_manager.lora_filenames,
)
newlist = list(
map(
lambda x: (get_checkpoint_thumbnail(x), f"C:{x}"),
filtered_models,
)
) + list (
map(
lambda x: (get_lora_thumbnail(x), f"L:{x}"),
filtered_loras,
)
)
return gr.update(value=newlist)
def mm_select(gallery, evt: gr.SelectData):
w = 1.0
mm = []