import base64 import html import io import json import math import mimetypes import os import random import sys import time import traceback import numpy as np import torch from PIL import Image import gradio as gr import gradio.utils 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 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 # 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; } """ # Using constants for these since the variation selector isn't visible. # Important that they exactly match script.js for tooltip to work. random_symbol = '\U0001f3b2\ufe0f' # 🎲️ reuse_symbol = '\u267b\ufe0f' # ♻️ art_symbol = '\U0001f3a8' # 🎨 paste_symbol = '\u2199\ufe0f' # ↙ def plaintext_to_html(text): text = "

" + "
\n".join([f"{html.escape(x)}" for x in text.split('\n')]) + "

" 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, index): import csv os.makedirs(opts.outdir_save, exist_ok=True) filenames = [] data = json.loads(js_data) if index > -1 and opts.save_selected_only and (index > 0 or not opts.return_grid): # ensures we are looking at a specific non-grid picture, and we have save_selected_only images = [images[index]] data["seed"] += (index - 1 if opts.return_grid else index) 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", "negative_prompt"]) 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], data["negative_prompt"]]) return '', '', plaintext_to_html(f"Saved: {filenames[0]}") def wrap_gradio_call(func): def f(*args, **kwargs): run_memmon = opts.memmon_poll_rate > 0 and not shared.mem_mon.disabled if run_memmon: shared.mem_mon.monitor() 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) shared.state.job = "" shared.state.job_count = 0 res = [None, '', f"
{plaintext_to_html(type(e).__name__+': '+str(e))}
"] elapsed = time.perf_counter() - t if run_memmon: mem_stats = {k: -(v//-(1024*1024)) for k, v in shared.mem_mon.stop().items()} active_peak = mem_stats['active_peak'] reserved_peak = mem_stats['reserved_peak'] sys_peak = mem_stats['system_peak'] sys_total = mem_stats['total'] sys_pct = round(sys_peak/max(sys_total, 1) * 100, 2) vram_html = f"

Torch active/reserved: {active_peak}/{reserved_peak} MiB, Sys VRAM: {sys_peak}/{sys_total} MiB ({sys_pct}%)

" else: vram_html = '' # last item is always HTML res[-1] += f"

Time taken: {elapsed:.2f}s

{vram_html}
" shared.state.interrupted = False return tuple(res) return f def check_progress_call(id_part): if shared.state.job_count == 0: 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) progressbar = "" if opts.show_progressbar: progressbar = f"""
{str(int(progress*100))+"%" if progress > 0.01 else ""}
""" image = gr_show(False) preview_visibility = gr_show(False) if opts.show_progress_every_n_steps > 0: 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) shared.state.current_image_sampling_step = shared.state.sampling_step image = shared.state.current_image if image is None: image = gr.update(value=None) else: preview_visibility = gr_show(True) return f"

{progressbar}

", preview_visibility, image def check_progress_call_initial(id_part): shared.state.job_count = -1 shared.state.current_latent = None shared.state.current_image = None return check_progress_call(id_part) 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 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 add_style(name: str, prompt: str, negative_prompt: str): if name is None: return [gr_show(), gr_show()] style = modules.styles.PromptStyle(name, prompt, negative_prompt) shared.prompt_styles.styles[style.name] = style # Save all loaded prompt styles: this allows us to update the storage format in the future more easily, because we # reserialize all styles every time we save them shared.prompt_styles.save_styles(shared.styles_filename) return [gr.Dropdown.update(visible=True, choices=list(shared.prompt_styles.styles)) for _ in range(4)] def apply_styles(prompt, prompt_neg, style1_name, style2_name): prompt = shared.prompt_styles.apply_styles_to_prompt(prompt, [style1_name, style2_name]) prompt_neg = shared.prompt_styles.apply_negative_styles_to_prompt(prompt_neg, [style1_name, style2_name]) return [gr.Textbox.update(value=prompt), gr.Textbox.update(value=prompt_neg), gr.Dropdown.update(value="None"), gr.Dropdown.update(value="None")] def interrogate(image): prompt = shared.interrogator.interrogate(image) return gr_show(True) if prompt is None else prompt def create_seed_inputs(): with gr.Row(): with gr.Box(): with gr.Row(elem_id='seed_row'): seed = (gr.Textbox if cmd_opts.use_textbox_seed else gr.Number)(label='Seed', value=-1) seed.style(container=False) random_seed = gr.Button(random_symbol, elem_id='random_seed') reuse_seed = gr.Button(reuse_symbol, elem_id='reuse_seed') with gr.Box(elem_id='subseed_show_box'): seed_checkbox = gr.Checkbox(label='Extra', elem_id='subseed_show', value=False) # Components to show/hide based on the 'Extra' checkbox seed_extras = [] with gr.Row(visible=False) as seed_extra_row_1: seed_extras.append(seed_extra_row_1) with gr.Box(): with gr.Row(elem_id='subseed_row'): subseed = gr.Number(label='Variation seed', value=-1) subseed.style(container=False) random_subseed = gr.Button(random_symbol, elem_id='random_subseed') reuse_subseed = gr.Button(reuse_symbol, elem_id='reuse_subseed') subseed_strength = gr.Slider(label='Variation strength', value=0.0, minimum=0, maximum=1, step=0.01) with gr.Row(visible=False) as seed_extra_row_2: seed_extras.append(seed_extra_row_2) seed_resize_from_w = gr.Slider(minimum=0, maximum=2048, step=64, label="Resize seed from width", value=0) seed_resize_from_h = gr.Slider(minimum=0, maximum=2048, step=64, label="Resize seed from height", value=0) random_seed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[seed]) random_subseed.click(fn=lambda: -1, show_progress=False, inputs=[], outputs=[subseed]) def change_visibility(show): return {comp: gr_show(show) for comp in seed_extras} seed_checkbox.change(change_visibility, show_progress=False, inputs=[seed_checkbox], outputs=seed_extras) return seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info: gr.Textbox, dummy_component, is_subseed): """ Connects a 'reuse (sub)seed' button's click event so that it copies last used (sub)seed value from generation info the to the seed field. If copying subseed and subseed strength was 0, i.e. no variation seed was used, it copies the normal seed value instead.""" def copy_seed(gen_info_string: str, index): res = -1 try: gen_info = json.loads(gen_info_string) index -= gen_info.get('index_of_first_image', 0) if is_subseed and gen_info.get('subseed_strength', 0) > 0: all_subseeds = gen_info.get('all_subseeds', [-1]) res = all_subseeds[index if 0 <= index < len(all_subseeds) else 0] else: all_seeds = gen_info.get('all_seeds', [-1]) res = all_seeds[index if 0 <= index < len(all_seeds) else 0] except json.decoder.JSONDecodeError as e: if gen_info_string != '': print("Error parsing JSON generation info:", file=sys.stderr) print(gen_info_string, file=sys.stderr) return [res, gr_show(False)] reuse_seed.click( fn=copy_seed, _js="(x, y) => [x, selected_gallery_index()]", show_progress=False, inputs=[generation_info, dummy_component], outputs=[seed, dummy_component] ) def create_toprow(is_img2img): id_part = "img2img" if is_img2img else "txt2img" with gr.Row(elem_id="toprow"): with gr.Column(scale=4): with gr.Row(): with gr.Column(scale=80): with gr.Row(): prompt = gr.Textbox(label="Prompt", elem_id=id_part+"_prompt", show_label=False, placeholder="Prompt", lines=2) with gr.Column(scale=1, elem_id="roll_col"): roll = gr.Button(value=art_symbol, elem_id="roll", visible=len(shared.artist_db.artists) > 0) paste = gr.Button(value=paste_symbol, elem_id="paste") token_counter = gr.HTML(value="", elem_id=f"{id_part}_token_counter") token_output = gr.JSON(visible=False) if is_img2img: # only define the api function ONCE token_counter.change(fn=model_hijack.tokenize, api_name="tokenize", inputs=[token_counter], outputs=[token_output]) with gr.Column(scale=10, elem_id="style_pos_col"): prompt_style = gr.Dropdown(label="Style 1", elem_id=f"{id_part}_style_index", choices=[k for k, v in shared.prompt_styles.styles.items()], value=next(iter(shared.prompt_styles.styles.keys())), visible=len(shared.prompt_styles.styles) > 1) with gr.Row(): with gr.Column(scale=8): negative_prompt = gr.Textbox(label="Negative prompt", elem_id="negative_prompt", show_label=False, placeholder="Negative prompt", lines=2) with gr.Column(scale=1, elem_id="style_neg_col"): prompt_style2 = gr.Dropdown(label="Style 2", elem_id=f"{id_part}_style2_index", choices=[k for k, v in shared.prompt_styles.styles.items()], value=next(iter(shared.prompt_styles.styles.keys())), visible=len(shared.prompt_styles.styles) > 1) with gr.Column(scale=1): with gr.Row(): interrupt = gr.Button('Interrupt', elem_id=f"{id_part}_interrupt") submit = gr.Button('Generate', elem_id="generate", variant='primary') interrupt.click( fn=lambda: shared.state.interrupt(), inputs=[], outputs=[], ) with gr.Row(): if is_img2img: interrogate = gr.Button('Interrogate', elem_id="interrogate") else: interrogate = None prompt_style_apply = gr.Button('Apply style', elem_id="style_apply") save_style = gr.Button('Create style', elem_id="style_create") return prompt, roll, prompt_style, negative_prompt, prompt_style2, submit, interrogate, prompt_style_apply, save_style, paste def setup_progressbar(progressbar, preview, id_part): check_progress = gr.Button('Check progress', elem_id=f"{id_part}_check_progress", visible=False) check_progress.click( fn=lambda: check_progress_call(id_part), show_progress=False, inputs=[], outputs=[progressbar, preview, preview], ) check_progress_initial = gr.Button('Check progress (first)', elem_id=f"{id_part}_check_progress_initial", visible=False) check_progress_initial.click( fn=lambda: check_progress_call_initial(id_part), show_progress=False, inputs=[], outputs=[progressbar, preview, preview], ) def create_ui(txt2img, img2img, run_extras, run_pnginfo, run_modelmerger): 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, paste = create_toprow(is_img2img=False) dummy_component = gr.Label(visible=False) with gr.Row(elem_id='txt2img_progress_row'): with gr.Column(scale=1): pass with gr.Column(scale=1): progressbar = gr.HTML(elem_id="txt2img_progressbar") txt2img_preview = gr.Image(elem_id='txt2img_preview', visible=False) setup_progressbar(progressbar, txt2img_preview, 'txt2img') 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.Group(): width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512) height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512) with gr.Row(): restore_faces = gr.Checkbox(label='Restore faces', value=False, visible=len(shared.face_restorers) > 1) tiling = gr.Checkbox(label='Tiling', value=False) enable_hr = gr.Checkbox(label='Highres. fix', value=False) with gr.Row(visible=False) as hr_options: scale_latent = gr.Checkbox(label='Scale latent', value=False) denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.7) 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=30.0, step=0.5, label='CFG Scale', value=7.0) seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox = create_seed_inputs() 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.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') with gr.Group(): html_info = gr.HTML() generation_info = gr.Textbox(visible=False) 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) txt2img_args = dict( fn=txt2img, _js="submit", inputs=[ txt2img_prompt, txt2img_negative_prompt, txt2img_prompt_style, txt2img_prompt_style2, steps, sampler_index, restore_faces, tiling, batch_count, batch_size, cfg_scale, seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox, height, width, enable_hr, scale_latent, denoising_strength, ] + custom_inputs, outputs=[ txt2img_gallery, generation_info, html_info ], show_progress=False, ) txt2img_prompt.submit(**txt2img_args) submit.click(**txt2img_args) enable_hr.change( fn=lambda x: gr_show(x), inputs=[enable_hr], outputs=[hr_options], ) save.click( fn=wrap_gradio_call(save_files), _js="(x, y, z) => [x, y, selected_gallery_index()]", inputs=[ generation_info, txt2img_gallery, html_info, ], outputs=[ html_info, html_info, html_info, ] ) roll.click( fn=roll_artist, inputs=[ txt2img_prompt, ], outputs=[ txt2img_prompt, ] ) txt2img_paste_fields = [ (txt2img_prompt, "Prompt"), (txt2img_negative_prompt, "Negative prompt"), (steps, "Steps"), (sampler_index, "Sampler"), (restore_faces, "Face restoration"), (cfg_scale, "CFG scale"), (seed, "Seed"), (width, "Size-1"), (height, "Size-2"), (batch_size, "Batch size"), (subseed, "Variation seed"), (subseed_strength, "Variation seed strength"), (seed_resize_from_w, "Seed resize from-1"), (seed_resize_from_h, "Seed resize from-2"), (denoising_strength, "Denoising strength"), (enable_hr, lambda d: "Denoising strength" in d), (hr_options, lambda d: gr.Row.update(visible="Denoising strength" in d)), ] modules.generation_parameters_copypaste.connect_paste(paste, txt2img_paste_fields, txt2img_prompt) with gr.Blocks(analytics_enabled=False) as img2img_interface: img2img_prompt, roll, img2img_prompt_style, img2img_negative_prompt, img2img_prompt_style2, submit, img2img_interrogate, img2img_prompt_style_apply, img2img_save_style, paste = create_toprow(is_img2img=True) with gr.Row(elem_id='img2img_progress_row'): with gr.Column(scale=1): pass with gr.Column(scale=1): progressbar = gr.HTML(elem_id="img2img_progressbar") img2img_preview = gr.Image(elem_id='img2img_preview', visible=False) setup_progressbar(progressbar, img2img_preview, 'img2img') with gr.Row().style(equal_height=False): with gr.Column(variant='panel'): with gr.Tabs(elem_id="mode_img2img") as tabs_img2img_mode: with gr.TabItem('img2img', id='img2img'): init_img = gr.Image(label="Image for img2img", show_label=False, source="upload", interactive=True, type="pil") with gr.TabItem('Inpaint', id='inpaint'): init_img_with_mask = gr.Image(label="Image for inpainting with mask", show_label=False, elem_id="img2maskimg", source="upload", interactive=True, type="pil", tool="sketch", image_mode="RGBA") init_img_inpaint = gr.Image(label="Image for img2img", show_label=False, source="upload", interactive=True, type="pil", visible=False, elem_id="img_inpaint_base") init_mask_inpaint = gr.Image(label="Mask", source="upload", interactive=True, type="pil", visible=False, elem_id="img_inpaint_mask") mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4) with gr.Row(): mask_mode = gr.Radio(label="Mask mode", show_label=False, choices=["Draw mask", "Upload mask"], type="index", value="Draw mask", elem_id="mask_mode") inpainting_mask_invert = gr.Radio(label='Masking mode', show_label=False, choices=['Inpaint masked', 'Inpaint not masked'], value='Inpaint masked', type="index") inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index") with gr.Row(): inpaint_full_res = gr.Checkbox(label='Inpaint at full resolution', value=False) inpaint_full_res_padding = gr.Slider(label='Inpaint at full resolution padding, pixels', minimum=0, maximum=256, step=4, value=32) with gr.TabItem('Batch img2img', id='batch'): hidden = '
Disabled when launched with --hide-ui-dir-config.' if shared.cmd_opts.hide_ui_dir_config else '' gr.HTML(f"

Process images in a directory on the same machine where the server is running.{hidden}

") img2img_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs) img2img_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs) 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") 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") with gr.Group(): width = gr.Slider(minimum=64, maximum=2048, step=64, label="Width", value=512) height = gr.Slider(minimum=64, maximum=2048, step=64, label="Height", value=512) with gr.Row(): 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) with gr.Group(): cfg_scale = gr.Slider(minimum=1.0, maximum=30.0, 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) seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox = create_seed_inputs() 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.Group(): 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') with gr.Group(): html_info = gr.HTML() generation_info = gr.Textbox(visible=False) 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) mask_mode.change( lambda mode, img: { init_img_with_mask: gr_show(mode == 0), init_img_inpaint: gr_show(mode == 1), init_mask_inpaint: gr_show(mode == 1), }, inputs=[mask_mode, init_img_with_mask], outputs=[ init_img_with_mask, init_img_inpaint, init_mask_inpaint, ], ) img2img_args = dict( fn=img2img, _js="submit_img2img", inputs=[ dummy_component, img2img_prompt, img2img_negative_prompt, img2img_prompt_style, img2img_prompt_style2, init_img, init_img_with_mask, init_img_inpaint, init_mask_inpaint, mask_mode, steps, sampler_index, mask_blur, inpainting_fill, restore_faces, tiling, batch_count, batch_size, cfg_scale, denoising_strength, seed, subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox, height, width, resize_mode, inpaint_full_res, inpaint_full_res_padding, inpainting_mask_invert, img2img_batch_input_dir, img2img_batch_output_dir, ] + custom_inputs, outputs=[ img2img_gallery, generation_info, html_info ], show_progress=False, ) img2img_prompt.submit(**img2img_args) submit.click(**img2img_args) img2img_interrogate.click( fn=interrogate, inputs=[init_img], outputs=[img2img_prompt], ) save.click( fn=wrap_gradio_call(save_files), _js="(x, y, z) => [x, y, selected_gallery_index()]", inputs=[ generation_info, img2img_gallery, html_info ], outputs=[ html_info, html_info, html_info, ] ) roll.click( fn=roll_artist, inputs=[ img2img_prompt, ], outputs=[ img2img_prompt, ] ) prompts = [(txt2img_prompt, txt2img_negative_prompt), (img2img_prompt, img2img_negative_prompt)] style_dropdowns = [(txt2img_prompt_style, txt2img_prompt_style2), (img2img_prompt_style, img2img_prompt_style2)] for button, (prompt, negative_prompt) in zip([txt2img_save_style, img2img_save_style], prompts): button.click( fn=add_style, _js="ask_for_style_name", # Have to pass empty dummy component here, because the JavaScript and Python function have to accept # the same number of parameters, but we only know the style-name after the JavaScript prompt inputs=[dummy_component, prompt, negative_prompt], outputs=[txt2img_prompt_style, img2img_prompt_style, txt2img_prompt_style2, img2img_prompt_style2], ) for button, (prompt, negative_prompt), (style1, style2) in zip([txt2img_prompt_style_apply, img2img_prompt_style_apply], prompts, style_dropdowns): button.click( fn=apply_styles, inputs=[prompt, negative_prompt, style1, style2], outputs=[prompt, negative_prompt, style1, style2], ) img2img_paste_fields = [ (img2img_prompt, "Prompt"), (img2img_negative_prompt, "Negative prompt"), (steps, "Steps"), (sampler_index, "Sampler"), (restore_faces, "Face restoration"), (cfg_scale, "CFG scale"), (seed, "Seed"), (width, "Size-1"), (height, "Size-2"), (batch_size, "Batch size"), (subseed, "Variation seed"), (subseed_strength, "Variation seed strength"), (seed_resize_from_w, "Seed resize from-1"), (seed_resize_from_h, "Seed resize from-2"), (denoising_strength, "Denoising strength"), ] modules.generation_parameters_copypaste.connect_paste(paste, img2img_paste_fields, img2img_prompt) with gr.Blocks(analytics_enabled=False) as extras_interface: with gr.Row().style(equal_height=False): with gr.Column(variant='panel'): with gr.Tabs(elem_id="mode_extras"): with gr.TabItem('Single Image'): extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil") with gr.TabItem('Batch Process'): image_batch = gr.File(label="Batch Process", file_count="multiple", interactive=True, type="file") 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(): 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_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') submit.click( fn=run_extras, _js="get_extras_tab_index", inputs=[ dummy_component, extras_image, image_batch, gfpgan_visibility, codeformer_visibility, codeformer_weight, upscaling_resize, extras_upscaler_1, extras_upscaler_2, extras_upscaler_2_visibility, ], outputs=[ result_images, html_info_x, html_info, ] ) 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_img2img", inputs=[result_images], outputs=[init_img_with_mask], ) with gr.Blocks(analytics_enabled=False) as pnginfo_interface: with gr.Row().style(equal_height=False): with gr.Column(variant='panel'): image = gr.Image(elem_id="pnginfo_image", label="Source", source="upload", interactive=True, type="pil") with gr.Column(variant='panel'): 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') image.change( fn=wrap_gradio_call(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'): gr.HTML(value="

A merger of the two checkpoints will be generated in your /models directory.

") modelname_0 = gr.Textbox(elem_id="modelmerger_modelname_0", label="Model Name (to)") modelname_1 = gr.Textbox(elem_id="modelmerger_modelname_1", label="Model Name (from)") interp_method = gr.Radio(choices=["Weighted Sum", "Sigmoid"], value="Weighted Sum", label="Interpolation Method") interp_amount = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, label='Interpolation Amount', value=0.3) submit = gr.Button(elem_id="modelmerger_merge", label="Merge", variant='primary') with gr.Column(variant='panel'): submit_result = gr.Textbox(elem_id="modelmerger_result", show_label=False) submit.click( fn=run_modelmerger, inputs=[ modelname_0, modelname_1, interp_method, interp_amount ], outputs=[ submit_result, ] ) 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) args = info.component_args() if callable(info.component_args) else info.component_args if info.component is not None: comp = info.component elif t == str: comp = gr.Textbox elif t == int: comp = gr.Number elif t == bool: comp = gr.Checkbox else: raise Exception(f'bad options item type: {str(t)} for key {key}') return comp(label=info.label, value=fun, **(args or {})) components = [] def run_settings(*args): changed = 0 for key, value, comp in zip(opts.data_labels.keys(), args, components): if 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__}" for key, value, comp in zip(opts.data_labels.keys(), args, components): comp_args = opts.data_labels[key].component_args if comp_args and isinstance(comp_args, dict) and comp_args.get('visible') is False: continue oldval = opts.data.get(key, None) opts.data[key] = value if oldval != value: if opts.data_labels[key].onchange is not None: opts.data_labels[key].onchange() changed += 1 opts.save(shared.config_filename) return f'{changed} settings changed.', opts.dumpjson() with gr.Blocks(analytics_enabled=False) as settings_interface: settings_submit = gr.Button(value="Apply settings", variant='primary') result = gr.HTML() settings_cols = 3 items_per_col = int(len(opts.data_labels) * 0.9 / settings_cols) cols_displayed = 0 items_displayed = 0 previous_section = None column = None with gr.Row(elem_id="settings").style(equal_height=False): for i, (k, item) in enumerate(opts.data_labels.items()): if previous_section != item.section: if cols_displayed < settings_cols and (items_displayed >= items_per_col or previous_section is None): if column is not None: column.__exit__() column = gr.Column(variant='panel') column.__enter__() items_displayed = 0 cols_displayed += 1 previous_section = item.section gr.HTML(elem_id="settings_header_text_{}".format(item.section[0]), value='

{}

'.format(item.section[1])) components.append(create_setting_component(k)) items_displayed += 1 request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications") request_notifications.click( fn=lambda: None, inputs=[], outputs=[], _js='function(){}' ) if column is not None: column.__exit__() interfaces = [ (txt2img_interface, "txt2img", "txt2img"), (img2img_interface, "img2img", "img2img"), (extras_interface, "Extras", "extras"), (pnginfo_interface, "PNG Info", "pnginfo"), (modelmerger_interface, "Checkpoint Merger", "modelmerger"), (settings_interface, "Settings", "settings"), ] with open(os.path.join(script_path, "style.css"), "r", encoding="utf8") as file: css = file.read() 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 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() if os.path.exists(os.path.join(script_path, "notification.mp3")): audio_notification = gr.Audio(interactive=False, value=os.path.join(script_path, "notification.mp3"), elem_id="audio_notification", visible=False) text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False) settings_submit.click( fn=run_settings, inputs=components, outputs=[result, text_settings], ) 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], ) 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], ) modules.generation_parameters_copypaste.connect_paste(pnginfo_send_to_txt2img, txt2img_paste_fields, generation_info, 'switch_to_txt2img') modules.generation_parameters_copypaste.connect_paste(pnginfo_send_to_img2img, img2img_paste_fields, generation_info, 'switch_to_img2img_img2img') ui_config_file = cmd_opts.ui_config_file 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): key = path + "/" + field 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): return 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): setattr(obj, field, saved_value) if type(x) in [gr.Slider, gr.Radio, gr.Checkbox, gr.Textbox, gr.Number] and x.visible: apply_field(x, 'visible') 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) if type(x) == gr.Checkbox: apply_field(x, 'value') if type(x) == gr.Textbox: apply_field(x, 'value') if type(x) == gr.Number: apply_field(x, 'value') visit(txt2img_interface, loadsave, "txt2img") visit(img2img_interface, loadsave, "img2img") visit(extras_interface, loadsave, "extras") 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 with open(os.path.join(script_path, "script.js"), "r", encoding="utf8") as jsfile: javascript = f'' 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: javascript += f"\n" def template_response(*args, **kwargs): res = gradio_routes_templates_response(*args, **kwargs) res.body = res.body.replace(b'', f'{javascript}'.encode("utf8")) res.init_headers() return res gradio_routes_templates_response = gradio.routes.templates.TemplateResponse gradio.routes.templates.TemplateResponse = template_response