stable-diffusion-webui/modules/ui.py

821 lines
32 KiB
Python
Raw Normal View History

import base64
import html
import io
import json
import math
import mimetypes
import os
import random
import sys
import time
import traceback
2022-09-06 16:33:51 +00:00
import numpy as np
import torch
from PIL import Image
import gradio as gr
import gradio.utils
2022-09-03 14:21:15 +00:00
import gradio.routes
from modules.paths import script_path
from modules.shared import opts, cmd_opts
import modules.shared as shared
from modules.sd_samplers import samplers, samplers_for_img2img
import modules.realesrgan_model as realesrgan
2022-09-03 14:21:15 +00:00
import modules.scripts
2022-09-07 10:35:02 +00:00
import modules.gfpgan_model
import modules.codeformer_model
import modules.styles
# this is a fix for Windows users. Without it, javascript files will be served with text/html content-type and the bowser will not show any UI
mimetypes.init()
mimetypes.add_type('application/javascript', '.js')
if not cmd_opts.share and not cmd_opts.listen:
# fix gradio phoning home
gradio.utils.version_check = lambda: None
gradio.utils.get_local_ip_address = lambda: '127.0.0.1'
def gr_show(visible=True):
return {"visible": visible, "__type__": "update"}
sample_img2img = "assets/stable-samples/img2img/sketch-mountains-input.jpg"
sample_img2img = sample_img2img if os.path.exists(sample_img2img) else None
css_hide_progressbar = """
.wrap .m-12 svg { display:none!important; }
.wrap .m-12::before { content:"Loading..." }
.progress-bar { display:none!important; }
.meta-text { display:none!important; }
"""
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) == 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):
import csv
os.makedirs(opts.outdir_save, exist_ok=True)
filenames = []
data = json.loads(js_data)
with open(os.path.join(opts.outdir_save, "log.csv"), "a", encoding="utf8", newline='') as file:
at_start = file.tell() == 0
writer = csv.writer(file)
if at_start:
writer.writerow(["prompt", "seed", "width", "height", "sampler", "cfgs", "steps", "filename"])
filename_base = str(int(time.time() * 1000))
for i, filedata in enumerate(images):
filename = filename_base + ("" if len(images) == 1 else "-" + str(i + 1)) + ".png"
filepath = os.path.join(opts.outdir_save, filename)
if filedata.startswith("data:image/png;base64,"):
filedata = filedata[len("data:image/png;base64,"):]
with open(filepath, "wb") as imgfile:
imgfile.write(base64.decodebytes(filedata.encode('utf-8')))
filenames.append(filename)
writer.writerow([data["prompt"], data["seed"], data["width"], data["height"], data["sampler"], data["cfg_scale"], data["steps"], filenames[0]])
return '', '', plaintext_to_html(f"Saved: {filenames[0]}")
def wrap_gradio_call(func):
def f(*args, **kwargs):
t = time.perf_counter()
try:
res = list(func(*args, **kwargs))
except Exception as e:
print("Error completing request", file=sys.stderr)
print("Arguments:", args, kwargs, file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
2022-09-06 16:33:51 +00:00
shared.state.job = ""
shared.state.job_count = 0
res = [None, '', f"<div class='error'>{plaintext_to_html(type(e).__name__+': '+str(e))}</div>"]
elapsed = time.perf_counter() - t
# last item is always HTML
res[-1] = res[-1] + f"<p class='performance'>Time taken: {elapsed:.2f}s</p>"
shared.state.interrupted = False
return tuple(res)
return f
def check_progress_call():
if shared.state.job_count == 0:
2022-09-06 16:33:51 +00:00
return "", gr_show(False), gr_show(False)
progress = 0
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
progress = min(progress, 1)
2022-09-06 16:33:51 +00:00
progressbar = ""
if opts.show_progressbar:
progressbar = f"""<div class='progressDiv'><div class='progress' style="width:{progress * 100}%">{str(int(progress*100))+"%" if progress > 0.01 else ""}</div></div>"""
image = gr_show(False)
preview_visibility = gr_show(False)
if opts.show_progress_every_n_steps > 0:
if shared.parallel_processing_allowed:
2022-09-06 16:33:51 +00:00
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)
shared.state.current_image_sampling_step = shared.state.sampling_step
2022-09-06 17:26:09 +00:00
2022-09-06 16:33:51 +00:00
image = shared.state.current_image
if image is None or progress >= 1:
image = gr.update(value=None)
else:
preview_visibility = gr_show(True)
2022-09-06 16:33:51 +00:00
return f"<span style='display: none'>{time.time()}</span><p>{progressbar}</p>", preview_visibility, image
def roll_artist(prompt):
allowed_cats = set([x for x in shared.artist_db.categories() if len(opts.random_artist_categories)==0 or x in opts.random_artist_categories])
artist = random.choice([x for x in shared.artist_db.artists if x.category in allowed_cats])
return prompt + ", " + artist.name if prompt != '' else artist.name
2022-09-04 10:52:01 +00:00
def visit(x, func, path=""):
if hasattr(x, 'children'):
for c in x.children:
visit(c, func, path)
elif x.label is not None:
func(path + "/" + str(x.label), x)
def create_seed_inputs():
with gr.Row():
seed = gr.Number(label='Seed', value=-1)
subseed = gr.Number(label='Variation seed', value=-1, visible=False)
seed_checkbox = gr.Checkbox(label="Extra", elem_id="subseed_show", value=False)
with gr.Row():
subseed_strength = gr.Slider(label='Variation strength', value=0.0, minimum=0, maximum=1, step=0.01, visible=False)
seed_resize_from_h = gr.Slider(minimum=0, maximum=2048, step=64, label="Resize seed from height", value=0, visible=False)
seed_resize_from_w = gr.Slider(minimum=0, maximum=2048, step=64, label="Resize seed from width", value=0, visible=False)
def change_visiblity(show):
return {
subseed: gr_show(show),
subseed_strength: gr_show(show),
seed_resize_from_h: gr_show(show),
seed_resize_from_w: gr_show(show),
}
seed_checkbox.change(
change_visiblity,
inputs=[seed_checkbox],
outputs=[
subseed,
subseed_strength,
seed_resize_from_h,
seed_resize_from_w
]
)
return seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w
def add_style(style_name, text):
if style_name is None:
return [gr_show(), gr_show()]
style = modules.styles.PromptStyle(style_name, text)
modules.styles.save_style(shared.styles_filename, style)
shared.prompt_styles[style.name] = style
update = {"visible": True, "choices": [k for k, v in shared.prompt_styles.items()], "__type__": "update"}
return [update, update]
2022-09-04 10:52:01 +00:00
def create_ui(txt2img, img2img, run_extras, run_pnginfo):
with gr.Blocks(analytics_enabled=False) as txt2img_interface:
with gr.Row():
txt2img_prompt = gr.Textbox(label="Prompt", elem_id="txt2img_prompt", show_label=False, placeholder="Prompt", lines=1)
negative_prompt = gr.Textbox(label="Negative prompt", elem_id="txt2img_negative_prompt", show_label=False, placeholder="Negative prompt", lines=1)
txt2img_prompt_style = gr.Dropdown(label="Style", show_label=False, elem_id="style_index", choices=[k for k, v in shared.prompt_styles.items()], value=next(iter(shared.prompt_styles.keys())), visible=len(shared.prompt_styles) > 1)
roll = gr.Button('Roll', elem_id="txt2img_roll", visible=len(shared.artist_db.artists) > 0)
submit = gr.Button('Generate', elem_id="txt2img_generate", variant='primary')
check_progress = gr.Button('Check progress', elem_id="check_progress", visible=False)
with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
steps = gr.Slider(minimum=1, maximum=150, step=1, label="Sampling Steps", value=20)
sampler_index = gr.Radio(label='Sampling method', elem_id="txt2img_sampling", choices=[x.name for x in samplers], value=samplers[0].name, type="index")
with gr.Row():
2022-09-07 09:32:28 +00:00
restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1)
tiling = gr.Checkbox(label='Tiling', value=False)
with gr.Row():
batch_count = gr.Slider(minimum=1, maximum=cmd_opts.max_batch_count, step=1, label='Batch count', value=1)
batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1)
cfg_scale = gr.Slider(minimum=1.0, maximum=15.0, step=0.5, label='CFG Scale', value=7.0)
with gr.Group():
height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)
seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w = create_seed_inputs()
2022-09-03 14:21:15 +00:00
with gr.Group():
2022-09-03 22:29:43 +00:00
custom_inputs = modules.scripts.scripts_txt2img.setup_ui(is_img2img=False)
with gr.Column(variant='panel'):
with gr.Group():
2022-09-06 16:33:51 +00:00
txt2img_preview = gr.Image(elem_id='txt2img_preview', visible=False)
txt2img_gallery = gr.Gallery(label='Output', elem_id='txt2img_gallery').style(grid=4)
with gr.Group():
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')
interrupt = gr.Button('Interrupt')
txt2img_save_style = gr.Button('Save prompt as style')
progressbar = gr.HTML(elem_id="progressbar")
with gr.Group():
html_info = gr.HTML()
generation_info = gr.Textbox(visible=False)
txt2img_args = dict(
fn=txt2img,
_js="submit",
inputs=[
txt2img_prompt,
negative_prompt,
txt2img_prompt_style,
steps,
sampler_index,
2022-09-07 09:32:28 +00:00
restore_faces,
tiling,
batch_count,
batch_size,
cfg_scale,
seed,
subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w,
height,
width,
2022-09-03 14:21:15 +00:00
] + custom_inputs,
outputs=[
txt2img_gallery,
generation_info,
html_info
]
)
txt2img_prompt.submit(**txt2img_args)
submit.click(**txt2img_args)
check_progress.click(
fn=check_progress_call,
2022-09-06 16:33:51 +00:00
show_progress=False,
inputs=[],
2022-09-06 16:33:51 +00:00
outputs=[progressbar, txt2img_preview, txt2img_preview],
)
interrupt.click(
fn=lambda: shared.state.interrupt(),
inputs=[],
outputs=[],
)
save.click(
fn=wrap_gradio_call(save_files),
inputs=[
generation_info,
txt2img_gallery,
],
outputs=[
html_info,
html_info,
html_info,
]
)
roll.click(
fn=roll_artist,
inputs=[
txt2img_prompt,
],
outputs=[
txt2img_prompt,
]
)
with gr.Blocks(analytics_enabled=False) as img2img_interface:
with gr.Row():
img2img_prompt = gr.Textbox(label="Prompt", elem_id="img2img_prompt", show_label=False, placeholder="Prompt", lines=1)
negative_prompt = gr.Textbox(label="Negative prompt", elem_id="img2img_negative_prompt", show_label=False, placeholder="Negative prompt", lines=1)
img2img_prompt_style = gr.Dropdown(label="Style", show_label=False, elem_id="style_index", choices=[k for k, v in shared.prompt_styles.items()], value=next(iter(shared.prompt_styles.keys())), visible=len(shared.prompt_styles) > 1)
submit = gr.Button('Generate', elem_id="img2img_generate", variant='primary')
check_progress = gr.Button('Check progress', elem_id="check_progress", visible=False)
with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
with gr.Group():
switch_mode = gr.Radio(label='Mode', elem_id="img2img_mode", choices=['Redraw whole image', 'Inpaint a part of image', 'Loopback', 'SD upscale'], value='Redraw whole image', type="index", show_label=False)
init_img = gr.Image(label="Image for img2img", source="upload", interactive=True, type="pil")
init_img_with_mask = gr.Image(label="Image for inpainting with mask", elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", visible=False, image_mode="RGBA")
init_img_with_mask_comment = gr.HTML(elem_id="mask_bug_info", value="<small>if the editor shows ERROR, switch to another img2img mode above and back</small>", visible=False)
2022-09-09 16:43:16 +00:00
init_mask = gr.Image(label="Mask", source="upload", interactive=True, type="pil", visible=False)
with gr.Row():
resize_mode = gr.Radio(label="Resize mode", elem_id="resize_mode", show_label=False, choices=["Just resize", "Crop and resize", "Resize and fill"], type="index", value="Just resize")
mask_mode = gr.Radio(label="Mask mode", show_label=False, choices=["Draw mask", "Upload mask"], type="index", value="Draw mask")
steps = gr.Slider(minimum=1, maximum=150, step=1, label="Sampling Steps", value=20)
sampler_index = gr.Radio(label='Sampling method', choices=[x.name for x in samplers_for_img2img], value=samplers_for_img2img[0].name, type="index")
mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, visible=False)
2022-09-03 18:02:38 +00:00
inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index", visible=False)
with gr.Row():
2022-09-03 22:29:43 +00:00
inpaint_full_res = gr.Checkbox(label='Inpaint at full resolution', value=False, visible=False)
2022-09-03 18:02:38 +00:00
inpainting_mask_invert = gr.Radio(label='Masking mode', choices=['Inpaint masked', 'Inpaint not masked'], value='Inpaint masked', type="index", visible=False)
with gr.Row():
2022-09-07 09:32:28 +00:00
restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1)
tiling = gr.Checkbox(label='Tiling', value=False)
2022-09-04 15:54:12 +00:00
sd_upscale_overlap = gr.Slider(minimum=0, maximum=256, step=16, label='Tile overlap', value=64, visible=False)
with gr.Row():
2022-09-04 15:54:12 +00:00
sd_upscale_upscaler_name = gr.Radio(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index", visible=False)
with gr.Row():
batch_count = gr.Slider(minimum=1, maximum=cmd_opts.max_batch_count, step=1, label='Batch count', value=1)
batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1)
with gr.Group():
cfg_scale = gr.Slider(minimum=1.0, maximum=15.0, step=0.5, label='CFG Scale', value=7.0)
denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.75)
denoising_strength_change_factor = gr.Slider(minimum=0.9, maximum=1.1, step=0.01, label='Denoising strength change factor', value=1, visible=False)
with gr.Group():
height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512)
width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512)
seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w = create_seed_inputs()
2022-09-03 14:21:15 +00:00
with gr.Group():
2022-09-03 22:29:43 +00:00
custom_inputs = modules.scripts.scripts_img2img.setup_ui(is_img2img=True)
2022-09-03 14:21:15 +00:00
with gr.Column(variant='panel'):
with gr.Group():
2022-09-06 16:33:51 +00:00
img2img_preview = gr.Image(elem_id='img2img_preview', visible=False)
img2img_gallery = gr.Gallery(label='Output', elem_id='img2img_gallery').style(grid=4)
with gr.Group():
with gr.Row():
save = gr.Button('Save')
2022-09-06 16:33:51 +00:00
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')
2022-09-06 16:33:51 +00:00
interrupt = gr.Button('Interrupt')
img2img_save_style = gr.Button('Save prompt as style')
progressbar = gr.HTML(elem_id="progressbar")
style_dummpy = gr.Textbox(visible=False)
with gr.Group():
html_info = gr.HTML()
generation_info = gr.Textbox(visible=False)
2022-09-09 16:43:16 +00:00
def apply_mode(mode, uploadmask):
is_classic = mode == 0
is_inpaint = mode == 1
is_loopback = mode == 2
is_upscale = mode == 3
return {
2022-09-09 16:43:16 +00:00
init_img: gr_show(not is_inpaint or (is_inpaint and uploadmask == 1)),
init_img_with_mask: gr_show(is_inpaint and uploadmask == 0),
init_img_with_mask_comment: gr_show(is_inpaint and uploadmask == 0),
2022-09-09 16:43:16 +00:00
init_mask: gr_show(is_inpaint and uploadmask == 1),
mask_mode: gr_show(is_inpaint),
mask_blur: gr_show(is_inpaint),
inpainting_fill: gr_show(is_inpaint),
batch_size: gr_show(not is_loopback),
sd_upscale_upscaler_name: gr_show(is_upscale),
2022-09-03 14:21:15 +00:00
sd_upscale_overlap: gr_show(is_upscale),
inpaint_full_res: gr_show(is_inpaint),
2022-09-03 18:02:38 +00:00
inpainting_mask_invert: gr_show(is_inpaint),
denoising_strength_change_factor: gr_show(is_loopback),
}
switch_mode.change(
apply_mode,
2022-09-09 16:43:16 +00:00
inputs=[switch_mode, mask_mode],
outputs=[
init_img,
init_img_with_mask,
init_img_with_mask_comment,
2022-09-09 16:43:16 +00:00
init_mask,
mask_mode,
mask_blur,
inpainting_fill,
batch_size,
sd_upscale_upscaler_name,
sd_upscale_overlap,
inpaint_full_res,
2022-09-03 18:02:38 +00:00
inpainting_mask_invert,
denoising_strength_change_factor,
]
)
2022-09-09 16:43:16 +00:00
mask_mode.change(
lambda mode: {
init_img: gr_show(mode == 1),
init_img_with_mask: gr_show(mode == 0),
init_mask: gr_show(mode == 1),
},
inputs=[mask_mode],
outputs=[
init_img,
init_img_with_mask,
init_mask,
],
)
img2img_args = dict(
fn=img2img,
_js="submit",
inputs=[
img2img_prompt,
2022-09-09 06:15:36 +00:00
negative_prompt,
img2img_prompt_style,
init_img,
init_img_with_mask,
2022-09-09 16:43:16 +00:00
init_mask,
mask_mode,
steps,
sampler_index,
mask_blur,
inpainting_fill,
2022-09-07 09:32:28 +00:00
restore_faces,
tiling,
switch_mode,
batch_count,
batch_size,
cfg_scale,
denoising_strength,
denoising_strength_change_factor,
seed,
subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w,
height,
width,
resize_mode,
sd_upscale_upscaler_name,
sd_upscale_overlap,
inpaint_full_res,
2022-09-03 18:02:38 +00:00
inpainting_mask_invert,
2022-09-03 14:21:15 +00:00
] + custom_inputs,
outputs=[
img2img_gallery,
generation_info,
html_info
]
)
img2img_prompt.submit(**img2img_args)
submit.click(**img2img_args)
check_progress.click(
fn=check_progress_call,
2022-09-06 16:33:51 +00:00
show_progress=False,
inputs=[],
2022-09-06 16:33:51 +00:00
outputs=[progressbar, img2img_preview, img2img_preview],
)
interrupt.click(
fn=lambda: shared.state.interrupt(),
inputs=[],
outputs=[],
)
save.click(
fn=wrap_gradio_call(save_files),
inputs=[
generation_info,
img2img_gallery,
],
outputs=[
html_info,
html_info,
html_info,
]
)
for button, propmt in zip([txt2img_save_style, img2img_save_style], [txt2img_prompt, img2img_prompt]):
button.click(
fn=add_style,
_js="ask_for_style_name",
inputs=[style_dummpy, propmt],
outputs=[txt2img_prompt_style, img2img_prompt_style],
)
with gr.Blocks(analytics_enabled=False) as extras_interface:
with gr.Row().style(equal_height=False):
with gr.Column(variant='panel'):
with gr.Group():
image = gr.Image(label="Source", source="upload", interactive=True, type="pil")
2022-09-04 15:54:12 +00:00
upscaling_resize = gr.Slider(minimum=1.0, maximum=4.0, step=0.05, label="Resize", value=2)
with gr.Group():
extras_upscaler_1 = gr.Radio(label='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', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name, type="index")
extras_upscaler_2_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Upscaler 2 visibility", value=1)
with gr.Group():
2022-09-07 10:35:02 +00:00
gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="GFPGAN visibility", value=0, interactive=modules.gfpgan_model.have_gfpgan)
with gr.Group():
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)
submit = gr.Button('Generate', elem_id="extras_generate", variant='primary')
with gr.Column(variant='panel'):
result_image = gr.Image(label="Result")
html_info_x = gr.HTML()
html_info = gr.HTML()
extras_args = dict(
fn=run_extras,
inputs=[
image,
2022-09-07 10:35:02 +00:00
gfpgan_visibility,
codeformer_visibility,
codeformer_weight,
2022-09-04 15:54:12 +00:00
upscaling_resize,
extras_upscaler_1,
extras_upscaler_2,
extras_upscaler_2_visibility,
],
outputs=[
result_image,
html_info_x,
html_info,
]
)
submit.click(**extras_args)
pnginfo_interface = gr.Interface(
wrap_gradio_call(run_pnginfo),
inputs=[
gr.Image(label="Source", source="upload", interactive=True, type="pil"),
],
outputs=[
gr.HTML(),
gr.HTML(),
gr.HTML(),
],
allow_flagging="never",
analytics_enabled=False,
)
def create_setting_component(key):
def fun():
return opts.data[key] if key in opts.data else opts.data_labels[key].default
info = opts.data_labels[key]
t = type(info.default)
if info.component is not None:
2022-09-07 09:32:28 +00:00
args = info.component_args() if callable(info.component_args) else info.component_args
item = info.component(label=info.label, value=fun, **(args or {}))
elif t == str:
item = gr.Textbox(label=info.label, value=fun, lines=1)
elif t == int:
item = gr.Number(label=info.label, value=fun)
elif t == bool:
item = gr.Checkbox(label=info.label, value=fun)
else:
raise Exception(f'bad options item type: {str(t)} for key {key}')
return item
components = []
keys = list(opts.data_labels.keys())
settings_cols = 3
items_per_col = math.ceil(len(keys) / settings_cols)
def run_settings(*args):
up = []
for key, value, comp in zip(opts.data_labels.keys(), args, components):
opts.data[key] = value
up.append(comp.update(value=value))
opts.save(shared.config_filename)
return 'Settings applied.'
with gr.Blocks(analytics_enabled=False) as settings_interface:
submit = gr.Button(value="Apply settings", variant='primary')
result = gr.HTML()
with gr.Row(elem_id="settings").style(equal_height=False):
for colno in range(settings_cols):
with gr.Column(variant='panel'):
for rowno in range(items_per_col):
index = rowno + colno * items_per_col
if index < len(keys):
components.append(create_setting_component(keys[index]))
submit.click(
fn=run_settings,
inputs=components,
outputs=[result]
)
interfaces = [
(txt2img_interface, "txt2img", "txt2img"),
(img2img_interface, "img2img", "img2img"),
(extras_interface, "Extras", "extras"),
(pnginfo_interface, "PNG Info", "pnginfo"),
(settings_interface, "Settings", "settings"),
]
with open(os.path.join(script_path, "style.css"), "r", encoding="utf8") as file:
css = file.read()
if not cmd_opts.no_progressbar_hiding:
css += css_hide_progressbar
with gr.Blocks(css=css, analytics_enabled=False, title="Stable Diffusion") as demo:
with gr.Tabs() as tabs:
for interface, label, ifid in interfaces:
with gr.TabItem(label, id=ifid):
interface.render()
tabs.change(
fn=lambda x: x,
inputs=[init_img_with_mask],
outputs=[init_img_with_mask],
)
send_to_img2img.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery",
inputs=[txt2img_gallery],
outputs=[init_img],
)
send_to_inpaint.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery",
inputs=[txt2img_gallery],
outputs=[init_img_with_mask],
)
img2img_send_to_img2img.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery",
inputs=[img2img_gallery],
outputs=[init_img],
)
img2img_send_to_inpaint.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery",
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",
inputs=[txt2img_gallery],
outputs=[image],
)
img2img_send_to_extras.click(
fn=lambda x: image_from_url_text(x),
_js="extract_image_from_gallery",
inputs=[img2img_gallery],
outputs=[image],
)
ui_config_file = cmd_opts.ui_config_file
2022-09-04 10:52:01 +00:00
ui_settings = {}
settings_count = len(ui_settings)
error_loading = False
try:
if os.path.exists(ui_config_file):
with open(ui_config_file, "r", encoding="utf8") as file:
ui_settings = json.load(file)
except Exception:
error_loading = True
print("Error loading settings:", file=sys.stderr)
print(traceback.format_exc(), file=sys.stderr)
def loadsave(path, x):
def apply_field(obj, field, condition=None):
2022-09-04 10:52:01 +00:00
key = path + "/" + field
saved_value = ui_settings.get(key, None)
if saved_value is None:
ui_settings[key] = getattr(obj, field)
elif condition is None or condition(saved_value):
2022-09-04 10:52:01 +00:00
setattr(obj, field, saved_value)
if type(x) == gr.Slider:
apply_field(x, 'value')
apply_field(x, 'minimum')
apply_field(x, 'maximum')
apply_field(x, 'step')
if type(x) == gr.Radio:
apply_field(x, 'value', lambda val: val in x.choices)
2022-09-04 10:52:01 +00:00
visit(txt2img_interface, loadsave, "txt2img")
visit(img2img_interface, loadsave, "img2img")
if not error_loading and (not os.path.exists(ui_config_file) or settings_count != len(ui_settings)):
with open(ui_config_file, "w", encoding="utf8") as file:
json.dump(ui_settings, file, indent=4)
return demo
2022-09-03 14:21:15 +00:00
with open(os.path.join(script_path, "script.js"), "r", encoding="utf8") as jsfile:
javascript = jsfile.read()
2022-09-03 14:21:15 +00:00
def template_response(*args, **kwargs):
res = gradio_routes_templates_response(*args, **kwargs)
res.body = res.body.replace(b'</head>', f'<script>{javascript}</script></head>'.encode("utf8"))
res.init_headers()
return res
2022-09-03 14:21:15 +00:00
gradio_routes_templates_response = gradio.routes.templates.TemplateResponse
gradio.routes.templates.TemplateResponse = template_response