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import gradio as gr |
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import random |
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import os |
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import json |
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import time |
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import shared |
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import modules.config |
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import fooocus_version |
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import modules.html |
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import modules.async_worker as worker |
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import modules.constants as constants |
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import modules.flags as flags |
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import modules.gradio_hijack as grh |
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import modules.advanced_parameters as advanced_parameters |
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import modules.style_sorter as style_sorter |
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import modules.meta_parser |
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import args_manager |
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import copy |
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from modules.sdxl_styles import legal_style_names |
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from modules.private_logger import get_current_html_path |
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from modules.ui_gradio_extensions import reload_javascript |
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from modules.auth import auth_enabled, check_auth |
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def generate_clicked(*args): |
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import ldm_patched.modules.model_management as model_management |
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with model_management.interrupt_processing_mutex: |
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model_management.interrupt_processing = False |
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execution_start_time = time.perf_counter() |
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task = worker.AsyncTask(args=list(args)) |
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finished = False |
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yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Waiting for task to start ...')), \ |
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gr.update(visible=True, value=None), \ |
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gr.update(visible=False, value=None), \ |
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gr.update(visible=False) |
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worker.async_tasks.append(task) |
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while not finished: |
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time.sleep(0.01) |
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if len(task.yields) > 0: |
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flag, product = task.yields.pop(0) |
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if flag == 'preview': |
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if len(task.yields) > 0: |
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if task.yields[0][0] == 'preview': |
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continue |
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percentage, title, image = product |
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yield gr.update(visible=True, value=modules.html.make_progress_html(percentage, title)), \ |
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gr.update(visible=True, value=image) if image is not None else gr.update(), \ |
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gr.update(), \ |
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gr.update(visible=False) |
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if flag == 'results': |
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yield gr.update(visible=True), \ |
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gr.update(visible=True), \ |
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gr.update(visible=True, value=product), \ |
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gr.update(visible=False) |
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if flag == 'finish': |
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yield gr.update(visible=False), \ |
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gr.update(visible=False), \ |
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gr.update(visible=False), \ |
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gr.update(visible=True, value=product) |
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finished = True |
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execution_time = time.perf_counter() - execution_start_time |
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print(f'Total time: {execution_time:.2f} seconds') |
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return |
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reload_javascript() |
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title = f'Fooocus {fooocus_version.version}' |
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if isinstance(args_manager.args.preset, str): |
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title += ' ' + args_manager.args.preset |
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shared.gradio_root = gr.Blocks( |
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title=title, |
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css=modules.html.css).queue() |
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with shared.gradio_root: |
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with gr.Row(): |
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with gr.Column(scale=2): |
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with gr.Row(): |
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progress_window = grh.Image(label='Preview', show_label=True, visible=False, height=768, |
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elem_classes=['main_view']) |
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progress_gallery = gr.Gallery(label='Finished Images', show_label=True, object_fit='contain', |
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height=768, visible=False, elem_classes=['main_view', 'image_gallery']) |
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progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False, |
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elem_id='progress-bar', elem_classes='progress-bar') |
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gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', visible=True, height=768, |
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elem_classes=['resizable_area', 'main_view', 'final_gallery', 'image_gallery'], |
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elem_id='final_gallery') |
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with gr.Row(elem_classes='type_row'): |
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with gr.Column(scale=17): |
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prompt = gr.Textbox(show_label=False, placeholder="Type prompt here or paste parameters.", elem_id='positive_prompt', |
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container=False, autofocus=True, elem_classes='type_row', lines=1024) |
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default_prompt = modules.config.default_prompt |
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if isinstance(default_prompt, str) and default_prompt != '': |
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shared.gradio_root.load(lambda: default_prompt, outputs=prompt) |
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with gr.Column(scale=3, min_width=0): |
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generate_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', elem_id='generate_button', visible=True) |
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load_parameter_button = gr.Button(label="Load Parameters", value="Load Parameters", elem_classes='type_row', elem_id='load_parameter_button', visible=False) |
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skip_button = gr.Button(label="Skip", value="Skip", elem_classes='type_row_half', visible=False) |
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stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row_half', elem_id='stop_button', visible=False) |
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def stop_clicked(): |
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import ldm_patched.modules.model_management as model_management |
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shared.last_stop = 'stop' |
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model_management.interrupt_current_processing() |
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return [gr.update(interactive=False)] * 2 |
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def skip_clicked(): |
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import ldm_patched.modules.model_management as model_management |
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shared.last_stop = 'skip' |
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model_management.interrupt_current_processing() |
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return |
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stop_button.click(stop_clicked, outputs=[skip_button, stop_button], |
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queue=False, show_progress=False, _js='cancelGenerateForever') |
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skip_button.click(skip_clicked, queue=False, show_progress=False) |
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with gr.Row(elem_classes='advanced_check_row'): |
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input_image_checkbox = gr.Checkbox(label='Input Image', value=False, container=False, elem_classes='min_check') |
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advanced_checkbox = gr.Checkbox(label='Advanced', value=modules.config.default_advanced_checkbox, container=False, elem_classes='min_check') |
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with gr.Row(visible=False) as image_input_panel: |
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with gr.Tabs(): |
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with gr.TabItem(label='Upscale or Variation') as uov_tab: |
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with gr.Row(): |
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with gr.Column(): |
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uov_input_image = grh.Image(label='Drag above image to here', source='upload', type='numpy') |
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with gr.Column(): |
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uov_method = gr.Radio(label='Upscale or Variation:', choices=flags.uov_list, value=flags.disabled) |
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/390" target="_blank">\U0001F4D4 Document</a>') |
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with gr.TabItem(label='Image Prompt') as ip_tab: |
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with gr.Row(): |
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ip_images = [] |
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ip_types = [] |
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ip_stops = [] |
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ip_weights = [] |
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ip_ctrls = [] |
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ip_ad_cols = [] |
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for _ in range(4): |
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with gr.Column(): |
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ip_image = grh.Image(label='Image', source='upload', type='numpy', show_label=False, height=300) |
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ip_images.append(ip_image) |
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ip_ctrls.append(ip_image) |
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with gr.Column(visible=False) as ad_col: |
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with gr.Row(): |
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default_end, default_weight = flags.default_parameters[flags.default_ip] |
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ip_stop = gr.Slider(label='Stop At', minimum=0.0, maximum=1.0, step=0.001, value=default_end) |
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ip_stops.append(ip_stop) |
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ip_ctrls.append(ip_stop) |
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ip_weight = gr.Slider(label='Weight', minimum=0.0, maximum=2.0, step=0.001, value=default_weight) |
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ip_weights.append(ip_weight) |
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ip_ctrls.append(ip_weight) |
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ip_type = gr.Radio(label='Type', choices=flags.ip_list, value=flags.default_ip, container=False) |
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ip_types.append(ip_type) |
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ip_ctrls.append(ip_type) |
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ip_type.change(lambda x: flags.default_parameters[x], inputs=[ip_type], outputs=[ip_stop, ip_weight], queue=False, show_progress=False) |
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ip_ad_cols.append(ad_col) |
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ip_advanced = gr.Checkbox(label='Advanced', value=False, container=False) |
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gr.HTML('* \"Image Prompt\" is powered by Fooocus Image Mixture Engine (v1.0.1). <a href="https://github.com/lllyasviel/Fooocus/discussions/557" target="_blank">\U0001F4D4 Document</a>') |
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def ip_advance_checked(x): |
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return [gr.update(visible=x)] * len(ip_ad_cols) + \ |
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[flags.default_ip] * len(ip_types) + \ |
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[flags.default_parameters[flags.default_ip][0]] * len(ip_stops) + \ |
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[flags.default_parameters[flags.default_ip][1]] * len(ip_weights) |
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ip_advanced.change(ip_advance_checked, inputs=ip_advanced, |
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outputs=ip_ad_cols + ip_types + ip_stops + ip_weights, |
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queue=False, show_progress=False) |
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with gr.TabItem(label='Inpaint or Outpaint') as inpaint_tab: |
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with gr.Row(): |
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inpaint_input_image = grh.Image(label='Drag inpaint or outpaint image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF", elem_id='inpaint_canvas') |
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inpaint_mask_image = grh.Image(label='Mask Upload', source='upload', type='numpy', height=500, visible=False) |
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with gr.Row(): |
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inpaint_additional_prompt = gr.Textbox(placeholder="Describe what you want to inpaint.", elem_id='inpaint_additional_prompt', label='Inpaint Additional Prompt', visible=False) |
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outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint Direction') |
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inpaint_mode = gr.Dropdown(choices=modules.flags.inpaint_options, value=modules.flags.inpaint_option_default, label='Method') |
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example_inpaint_prompts = gr.Dataset(samples=modules.config.example_inpaint_prompts, label='Additional Prompt Quick List', components=[inpaint_additional_prompt], visible=False) |
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gr.HTML('* Powered by Fooocus Inpaint Engine <a href="https://github.com/lllyasviel/Fooocus/discussions/414" target="_blank">\U0001F4D4 Document</a>') |
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example_inpaint_prompts.click(lambda x: x[0], inputs=example_inpaint_prompts, outputs=inpaint_additional_prompt, show_progress=False, queue=False) |
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with gr.TabItem(label='Describe') as desc_tab: |
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with gr.Row(): |
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with gr.Column(): |
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desc_input_image = grh.Image(label='Drag any image to here', source='upload', type='numpy') |
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with gr.Column(): |
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desc_method = gr.Radio( |
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label='Content Type', |
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choices=[flags.desc_type_photo, flags.desc_type_anime], |
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value=flags.desc_type_photo) |
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desc_btn = gr.Button(value='Describe this Image into Prompt') |
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/1363" target="_blank">\U0001F4D4 Document</a>') |
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switch_js = "(x) => {if(x){viewer_to_bottom(100);viewer_to_bottom(500);}else{viewer_to_top();} return x;}" |
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down_js = "() => {viewer_to_bottom();}" |
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input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox, |
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outputs=image_input_panel, queue=False, show_progress=False, _js=switch_js) |
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ip_advanced.change(lambda: None, queue=False, show_progress=False, _js=down_js) |
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current_tab = gr.Textbox(value='uov', visible=False) |
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uov_tab.select(lambda: 'uov', outputs=current_tab, queue=False, _js=down_js, show_progress=False) |
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inpaint_tab.select(lambda: 'inpaint', outputs=current_tab, queue=False, _js=down_js, show_progress=False) |
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ip_tab.select(lambda: 'ip', outputs=current_tab, queue=False, _js=down_js, show_progress=False) |
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desc_tab.select(lambda: 'desc', outputs=current_tab, queue=False, _js=down_js, show_progress=False) |
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with gr.Column(scale=1, visible=modules.config.default_advanced_checkbox) as advanced_column: |
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with gr.Tab(label='Setting'): |
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performance_selection = gr.Radio(label='Performance', |
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choices=modules.flags.performance_selections, |
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value=modules.config.default_performance) |
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aspect_ratios_selection = gr.Radio(label='Aspect Ratios', choices=modules.config.available_aspect_ratios, |
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value=modules.config.default_aspect_ratio, info='width × height', |
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elem_classes='aspect_ratios') |
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image_number = gr.Slider(label='Image Number', minimum=1, maximum=modules.config.default_max_image_number, step=1, value=modules.config.default_image_number) |
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negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.", |
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info='Describing what you do not want to see.', lines=2, |
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elem_id='negative_prompt', |
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value=modules.config.default_prompt_negative) |
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seed_random = gr.Checkbox(label='Random', value=True) |
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image_seed = gr.Textbox(label='Seed', value=0, max_lines=1, visible=False) |
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def random_checked(r): |
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return gr.update(visible=not r) |
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def refresh_seed(r, seed_string): |
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if r: |
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return random.randint(constants.MIN_SEED, constants.MAX_SEED) |
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else: |
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try: |
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seed_value = int(seed_string) |
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if constants.MIN_SEED <= seed_value <= constants.MAX_SEED: |
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return seed_value |
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except ValueError: |
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pass |
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return random.randint(constants.MIN_SEED, constants.MAX_SEED) |
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seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed], |
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queue=False, show_progress=False) |
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if not args_manager.args.disable_image_log: |
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gr.HTML(f'<a href="file={get_current_html_path()}" target="_blank">\U0001F4DA History Log</a>') |
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with gr.Tab(label='Style'): |
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style_sorter.try_load_sorted_styles( |
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style_names=legal_style_names, |
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default_selected=modules.config.default_styles) |
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style_search_bar = gr.Textbox(show_label=False, container=False, |
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placeholder="\U0001F50E Type here to search styles ...", |
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value="", |
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label='Search Styles') |
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style_selections = gr.CheckboxGroup(show_label=False, container=False, |
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choices=copy.deepcopy(style_sorter.all_styles), |
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value=copy.deepcopy(modules.config.default_styles), |
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label='Selected Styles', |
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elem_classes=['style_selections']) |
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gradio_receiver_style_selections = gr.Textbox(elem_id='gradio_receiver_style_selections', visible=False) |
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shared.gradio_root.load(lambda: gr.update(choices=copy.deepcopy(style_sorter.all_styles)), |
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outputs=style_selections) |
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style_search_bar.change(style_sorter.search_styles, |
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inputs=[style_selections, style_search_bar], |
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outputs=style_selections, |
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queue=False, |
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show_progress=False).then( |
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lambda: None, _js='()=>{refresh_style_localization();}') |
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gradio_receiver_style_selections.input(style_sorter.sort_styles, |
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inputs=style_selections, |
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outputs=style_selections, |
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queue=False, |
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show_progress=False).then( |
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lambda: None, _js='()=>{refresh_style_localization();}') |
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with gr.Tab(label='Model'): |
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with gr.Group(): |
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with gr.Row(): |
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base_model = gr.Dropdown(label='Base Model (SDXL only)', choices=modules.config.model_filenames, value=modules.config.default_base_model_name, show_label=True) |
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refiner_model = gr.Dropdown(label='Refiner (SDXL or SD 1.5)', choices=['None'] + modules.config.model_filenames, value=modules.config.default_refiner_model_name, show_label=True) |
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refiner_switch = gr.Slider(label='Refiner Switch At', minimum=0.1, maximum=1.0, step=0.0001, |
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info='Use 0.4 for SD1.5 realistic models; ' |
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'or 0.667 for SD1.5 anime models; ' |
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'or 0.8 for XL-refiners; ' |
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'or any value for switching two SDXL models.', |
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value=modules.config.default_refiner_switch, |
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visible=modules.config.default_refiner_model_name != 'None') |
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refiner_model.change(lambda x: gr.update(visible=x != 'None'), |
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inputs=refiner_model, outputs=refiner_switch, show_progress=False, queue=False) |
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with gr.Group(): |
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lora_ctrls = [] |
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for i, (n, v) in enumerate(modules.config.default_loras): |
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with gr.Row(): |
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lora_model = gr.Dropdown(label=f'LoRA {i + 1}', |
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choices=['None'] + modules.config.lora_filenames, value=n) |
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lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=v, |
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elem_classes='lora_weight') |
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lora_ctrls += [lora_model, lora_weight] |
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with gr.Row(): |
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model_refresh = gr.Button(label='Refresh', value='\U0001f504 Refresh All Files', variant='secondary', elem_classes='refresh_button') |
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with gr.Tab(label='Advanced'): |
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guidance_scale = gr.Slider(label='Guidance Scale', minimum=1.0, maximum=30.0, step=0.01, |
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value=modules.config.default_cfg_scale, |
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info='Higher value means style is cleaner, vivider, and more artistic.') |
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sharpness = gr.Slider(label='Image Sharpness', minimum=0.0, maximum=30.0, step=0.001, |
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value=modules.config.default_sample_sharpness, |
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info='Higher value means image and texture are sharper.') |
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117" target="_blank">\U0001F4D4 Document</a>') |
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dev_mode = gr.Checkbox(label='Developer Debug Mode', value=False, container=False) |
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with gr.Column(visible=False) as dev_tools: |
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with gr.Tab(label='Debug Tools'): |
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adm_scaler_positive = gr.Slider(label='Positive ADM Guidance Scaler', minimum=0.1, maximum=3.0, |
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step=0.001, value=1.5, info='The scaler multiplied to positive ADM (use 1.0 to disable). ') |
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adm_scaler_negative = gr.Slider(label='Negative ADM Guidance Scaler', minimum=0.1, maximum=3.0, |
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step=0.001, value=0.8, info='The scaler multiplied to negative ADM (use 1.0 to disable). ') |
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adm_scaler_end = gr.Slider(label='ADM Guidance End At Step', minimum=0.0, maximum=1.0, |
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step=0.001, value=0.3, |
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info='When to end the guidance from positive/negative ADM. ') |
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refiner_swap_method = gr.Dropdown(label='Refiner swap method', value='joint', |
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choices=['joint', 'separate', 'vae']) |
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adaptive_cfg = gr.Slider(label='CFG Mimicking from TSNR', minimum=1.0, maximum=30.0, step=0.01, |
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value=modules.config.default_cfg_tsnr, |
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info='Enabling Fooocus\'s implementation of CFG mimicking for TSNR ' |
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'(effective when real CFG > mimicked CFG).') |
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sampler_name = gr.Dropdown(label='Sampler', choices=flags.sampler_list, |
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value=modules.config.default_sampler) |
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scheduler_name = gr.Dropdown(label='Scheduler', choices=flags.scheduler_list, |
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value=modules.config.default_scheduler) |
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|
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generate_image_grid = gr.Checkbox(label='Generate Image Grid for Each Batch', |
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info='(Experimental) This may cause performance problems on some computers and certain internet conditions.', |
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value=False) |
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overwrite_step = gr.Slider(label='Forced Overwrite of Sampling Step', |
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minimum=-1, maximum=200, step=1, |
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value=modules.config.default_overwrite_step, |
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info='Set as -1 to disable. For developer debugging.') |
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overwrite_switch = gr.Slider(label='Forced Overwrite of Refiner Switch Step', |
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minimum=-1, maximum=200, step=1, |
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value=modules.config.default_overwrite_switch, |
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info='Set as -1 to disable. For developer debugging.') |
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overwrite_width = gr.Slider(label='Forced Overwrite of Generating Width', |
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minimum=-1, maximum=2048, step=1, value=-1, |
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info='Set as -1 to disable. For developer debugging. ' |
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'Results will be worse for non-standard numbers that SDXL is not trained on.') |
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overwrite_height = gr.Slider(label='Forced Overwrite of Generating Height', |
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minimum=-1, maximum=2048, step=1, value=-1, |
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info='Set as -1 to disable. For developer debugging. ' |
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'Results will be worse for non-standard numbers that SDXL is not trained on.') |
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overwrite_vary_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Vary"', |
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minimum=-1, maximum=1.0, step=0.001, value=-1, |
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info='Set as negative number to disable. For developer debugging.') |
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overwrite_upscale_strength = gr.Slider(label='Forced Overwrite of Denoising Strength of "Upscale"', |
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minimum=-1, maximum=1.0, step=0.001, value=-1, |
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info='Set as negative number to disable. For developer debugging.') |
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disable_preview = gr.Checkbox(label='Disable Preview', value=False, |
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info='Disable preview during generation.') |
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|
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with gr.Tab(label='Control'): |
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debugging_cn_preprocessor = gr.Checkbox(label='Debug Preprocessors', value=False, |
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info='See the results from preprocessors.') |
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skipping_cn_preprocessor = gr.Checkbox(label='Skip Preprocessors', value=False, |
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info='Do not preprocess images. (Inputs are already canny/depth/cropped-face/etc.)') |
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|
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mixing_image_prompt_and_vary_upscale = gr.Checkbox(label='Mixing Image Prompt and Vary/Upscale', |
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value=False) |
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mixing_image_prompt_and_inpaint = gr.Checkbox(label='Mixing Image Prompt and Inpaint', |
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value=False) |
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|
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controlnet_softness = gr.Slider(label='Softness of ControlNet', minimum=0.0, maximum=1.0, |
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step=0.001, value=0.25, |
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info='Similar to the Control Mode in A1111 (use 0.0 to disable). ') |
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|
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with gr.Tab(label='Canny'): |
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canny_low_threshold = gr.Slider(label='Canny Low Threshold', minimum=1, maximum=255, |
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step=1, value=64) |
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canny_high_threshold = gr.Slider(label='Canny High Threshold', minimum=1, maximum=255, |
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step=1, value=128) |
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|
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with gr.Tab(label='Inpaint'): |
|
debugging_inpaint_preprocessor = gr.Checkbox(label='Debug Inpaint Preprocessing', value=False) |
|
inpaint_disable_initial_latent = gr.Checkbox(label='Disable initial latent in inpaint', value=False) |
|
inpaint_engine = gr.Dropdown(label='Inpaint Engine', |
|
value=modules.config.default_inpaint_engine_version, |
|
choices=flags.inpaint_engine_versions, |
|
info='Version of Fooocus inpaint model') |
|
inpaint_strength = gr.Slider(label='Inpaint Denoising Strength', |
|
minimum=0.0, maximum=1.0, step=0.001, value=1.0, |
|
info='Same as the denoising strength in A1111 inpaint. ' |
|
'Only used in inpaint, not used in outpaint. ' |
|
'(Outpaint always use 1.0)') |
|
inpaint_respective_field = gr.Slider(label='Inpaint Respective Field', |
|
minimum=0.0, maximum=1.0, step=0.001, value=0.618, |
|
info='The area to inpaint. ' |
|
'Value 0 is same as "Only Masked" in A1111. ' |
|
'Value 1 is same as "Whole Image" in A1111. ' |
|
'Only used in inpaint, not used in outpaint. ' |
|
'(Outpaint always use 1.0)') |
|
inpaint_erode_or_dilate = gr.Slider(label='Mask Erode or Dilate', |
|
minimum=-64, maximum=64, step=1, value=0, |
|
info='Positive value will make white area in the mask larger, ' |
|
'negative value will make white area smaller.' |
|
'(default is 0, always process before any mask invert)') |
|
inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False) |
|
invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False) |
|
|
|
inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine, |
|
inpaint_strength, inpaint_respective_field, |
|
inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate] |
|
|
|
inpaint_mask_upload_checkbox.change(lambda x: gr.update(visible=x), |
|
inputs=inpaint_mask_upload_checkbox, |
|
outputs=inpaint_mask_image, queue=False, show_progress=False) |
|
|
|
with gr.Tab(label='FreeU'): |
|
freeu_enabled = gr.Checkbox(label='Enabled', value=False) |
|
freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01) |
|
freeu_b2 = gr.Slider(label='B2', minimum=0, maximum=2, step=0.01, value=1.02) |
|
freeu_s1 = gr.Slider(label='S1', minimum=0, maximum=4, step=0.01, value=0.99) |
|
freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95) |
|
freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2] |
|
|
|
adps = [disable_preview, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name, |
|
scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height, |
|
overwrite_vary_strength, overwrite_upscale_strength, |
|
mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint, |
|
debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness, |
|
canny_low_threshold, canny_high_threshold, refiner_swap_method] |
|
adps += freeu_ctrls |
|
adps += inpaint_ctrls |
|
|
|
def dev_mode_checked(r): |
|
return gr.update(visible=r) |
|
|
|
|
|
dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools], |
|
queue=False, show_progress=False) |
|
|
|
def model_refresh_clicked(): |
|
modules.config.update_all_model_names() |
|
results = [] |
|
results += [gr.update(choices=modules.config.model_filenames), gr.update(choices=['None'] + modules.config.model_filenames)] |
|
for i in range(5): |
|
results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()] |
|
return results |
|
|
|
model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls, |
|
queue=False, show_progress=False) |
|
|
|
performance_selection.change(lambda x: [gr.update(interactive=x != 'Extreme Speed')] * 11 + |
|
[gr.update(visible=x != 'Extreme Speed')] * 1, |
|
inputs=performance_selection, |
|
outputs=[ |
|
guidance_scale, sharpness, adm_scaler_end, adm_scaler_positive, |
|
adm_scaler_negative, refiner_switch, refiner_model, sampler_name, |
|
scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt |
|
], queue=False, show_progress=False) |
|
|
|
advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, advanced_column, |
|
queue=False, show_progress=False) \ |
|
.then(fn=lambda: None, _js='refresh_grid_delayed', queue=False, show_progress=False) |
|
|
|
def inpaint_mode_change(mode): |
|
assert mode in modules.flags.inpaint_options |
|
|
|
|
|
|
|
|
|
|
|
if mode == modules.flags.inpaint_option_detail: |
|
return [ |
|
gr.update(visible=True), gr.update(visible=False, value=[]), |
|
gr.Dataset.update(visible=True, samples=modules.config.example_inpaint_prompts), |
|
False, 'None', 0.5, 0.0 |
|
] |
|
|
|
if mode == modules.flags.inpaint_option_modify: |
|
return [ |
|
gr.update(visible=True), gr.update(visible=False, value=[]), |
|
gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts), |
|
True, modules.config.default_inpaint_engine_version, 1.0, 0.0 |
|
] |
|
|
|
return [ |
|
gr.update(visible=False, value=''), gr.update(visible=True), |
|
gr.Dataset.update(visible=False, samples=modules.config.example_inpaint_prompts), |
|
False, modules.config.default_inpaint_engine_version, 1.0, 0.618 |
|
] |
|
|
|
inpaint_mode.input(inpaint_mode_change, inputs=inpaint_mode, outputs=[ |
|
inpaint_additional_prompt, outpaint_selections, example_inpaint_prompts, |
|
inpaint_disable_initial_latent, inpaint_engine, |
|
inpaint_strength, inpaint_respective_field |
|
], show_progress=False, queue=False) |
|
|
|
ctrls = [ |
|
prompt, negative_prompt, style_selections, |
|
performance_selection, aspect_ratios_selection, image_number, image_seed, sharpness, guidance_scale |
|
] |
|
|
|
ctrls += [base_model, refiner_model, refiner_switch] + lora_ctrls |
|
ctrls += [input_image_checkbox, current_tab] |
|
ctrls += [uov_method, uov_input_image] |
|
ctrls += [outpaint_selections, inpaint_input_image, inpaint_additional_prompt, inpaint_mask_image] |
|
ctrls += ip_ctrls |
|
|
|
state_is_generating = gr.State(False) |
|
|
|
def parse_meta(raw_prompt_txt, is_generating): |
|
loaded_json = None |
|
try: |
|
if '{' in raw_prompt_txt: |
|
if '}' in raw_prompt_txt: |
|
if ':' in raw_prompt_txt: |
|
loaded_json = json.loads(raw_prompt_txt) |
|
assert isinstance(loaded_json, dict) |
|
except: |
|
loaded_json = None |
|
|
|
if loaded_json is None: |
|
if is_generating: |
|
return gr.update(), gr.update(), gr.update() |
|
else: |
|
return gr.update(), gr.update(visible=True), gr.update(visible=False) |
|
|
|
return json.dumps(loaded_json), gr.update(visible=False), gr.update(visible=True) |
|
|
|
prompt.input(parse_meta, inputs=[prompt, state_is_generating], outputs=[prompt, generate_button, load_parameter_button], queue=False, show_progress=False) |
|
|
|
load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=[ |
|
advanced_checkbox, |
|
image_number, |
|
prompt, |
|
negative_prompt, |
|
style_selections, |
|
performance_selection, |
|
aspect_ratios_selection, |
|
overwrite_width, |
|
overwrite_height, |
|
sharpness, |
|
guidance_scale, |
|
adm_scaler_positive, |
|
adm_scaler_negative, |
|
adm_scaler_end, |
|
base_model, |
|
refiner_model, |
|
refiner_switch, |
|
sampler_name, |
|
scheduler_name, |
|
seed_random, |
|
image_seed, |
|
generate_button, |
|
load_parameter_button |
|
] + lora_ctrls, queue=False, show_progress=False) |
|
|
|
generate_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), [], True), |
|
outputs=[stop_button, skip_button, generate_button, gallery, state_is_generating]) \ |
|
.then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed) \ |
|
.then(advanced_parameters.set_all_advanced_parameters, inputs=adps) \ |
|
.then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, progress_gallery, gallery]) \ |
|
.then(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False, interactive=False), gr.update(visible=False, interactive=False), False), |
|
outputs=[generate_button, stop_button, skip_button, state_is_generating]) \ |
|
.then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed') |
|
|
|
for notification_file in ['notification.ogg', 'notification.mp3']: |
|
if os.path.exists(notification_file): |
|
gr.Audio(interactive=False, value=notification_file, elem_id='audio_notification', visible=False) |
|
break |
|
|
|
def trigger_describe(mode, img): |
|
if mode == flags.desc_type_photo: |
|
from extras.interrogate import default_interrogator as default_interrogator_photo |
|
return default_interrogator_photo(img), ["Fooocus V2", "Fooocus Enhance", "Fooocus Sharp"] |
|
if mode == flags.desc_type_anime: |
|
from extras.wd14tagger import default_interrogator as default_interrogator_anime |
|
return default_interrogator_anime(img), ["Fooocus V2", "Fooocus Masterpiece"] |
|
return mode, ["Fooocus V2"] |
|
|
|
desc_btn.click(trigger_describe, inputs=[desc_method, desc_input_image], |
|
outputs=[prompt, style_selections], show_progress=True, queue=True) |
|
|
|
|
|
def dump_default_english_config(): |
|
from modules.localization import dump_english_config |
|
dump_english_config(grh.all_components) |
|
|
|
|
|
|
|
|
|
shared.gradio_root.launch( |
|
inbrowser=args_manager.args.in_browser, |
|
server_name=args_manager.args.listen, |
|
server_port=args_manager.args.port, |
|
share=args_manager.args.share, |
|
auth=check_auth if args_manager.args.share and auth_enabled else None, |
|
blocked_paths=[constants.AUTH_FILENAME] |
|
) |
|
|
