mirror of
https://github.com/lllyasviel/Fooocus.git
synced 2026-08-16 13:13:16 +02:00
Merge branch 'main_upstream' into feature/add-nsfw-filter
# Conflicts: # modules/advanced_parameters.py # modules/async_worker.py # modules/config.py # webui.py
This commit is contained in:
Manuel Schmid
@@ -11,28 +11,35 @@ 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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import launch
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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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from modules.util import is_json
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def get_task(*args):
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args = list(args)
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args.pop(0)
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def generate_clicked(*args):
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return worker.AsyncTask(args=args)
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def generate_clicked(task: worker.AsyncTask):
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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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# outputs=[progress_html, progress_window, progress_gallery, gallery]
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if len(task.args) == 0:
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return
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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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@@ -71,6 +78,12 @@ def generate_clicked(*args):
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gr.update(visible=True, value=product)
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finished = True
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# delete Fooocus temp images, only keep gradio temp images
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if args_manager.args.disable_image_log:
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for filepath in product:
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if isinstance(filepath, str) and os.path.exists(filepath):
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os.remove(filepath)
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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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@@ -83,11 +96,10 @@ 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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shared.gradio_root = gr.Blocks(title=title).queue()
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with shared.gradio_root:
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currentTask = gr.State(worker.AsyncTask(args=[]))
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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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@@ -115,21 +127,22 @@ with shared.gradio_root:
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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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def stop_clicked(currentTask):
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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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currentTask.last_stop = 'stop'
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if (currentTask.processing):
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model_management.interrupt_current_processing()
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return currentTask
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def skip_clicked():
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def skip_clicked(currentTask):
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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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currentTask.last_stop = 'skip'
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if (currentTask.processing):
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model_management.interrupt_current_processing()
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return currentTask
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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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stop_button.click(stop_clicked, inputs=currentTask, outputs=currentTask, queue=False, show_progress=False, _js='cancelGenerateForever')
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skip_button.click(skip_clicked, inputs=currentTask, outputs=currentTask, 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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@@ -150,7 +163,7 @@ with shared.gradio_root:
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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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for _ in range(flags.controlnet_image_count):
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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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@@ -208,6 +221,27 @@ with shared.gradio_root:
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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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with gr.TabItem(label='Metadata') as load_tab:
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with gr.Column():
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metadata_input_image = grh.Image(label='Drag any image generated by Fooocus here', source='upload', type='filepath')
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metadata_json = gr.JSON(label='Metadata')
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metadata_import_button = gr.Button(value='Apply Metadata')
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def trigger_metadata_preview(filepath):
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parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
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results = {}
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if parameters is not None:
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results['parameters'] = parameters
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if isinstance(metadata_scheme, flags.MetadataScheme):
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results['metadata_scheme'] = metadata_scheme.value
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return results
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metadata_input_image.upload(trigger_metadata_preview, inputs=metadata_input_image,
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outputs=metadata_json, queue=False, show_progress=True)
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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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@@ -223,13 +257,23 @@ with shared.gradio_root:
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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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if not args_manager.args.disable_preset_selection:
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preset_selection = gr.Radio(label='Preset',
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choices=modules.config.available_presets,
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value=args_manager.args.preset if args_manager.args.preset else "initial",
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interactive=True)
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performance_selection = gr.Radio(label='Performance',
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choices=modules.flags.performance_selections,
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choices=flags.Performance.list(),
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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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output_format = gr.Radio(label='Output Format',
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choices=flags.OutputFormat.list(),
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value=modules.config.default_output_format)
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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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@@ -255,10 +299,16 @@ with shared.gradio_root:
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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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def update_history_link():
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if args_manager.args.disable_image_log:
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return gr.update(value='')
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return gr.update(value=f'<a href="file={get_current_html_path(output_format)}" target="_blank">\U0001F4DA History Log</a>')
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with gr.Tab(label='Style'):
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history_link = gr.HTML()
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shared.gradio_root.load(update_history_link, outputs=history_link, queue=False, show_progress=False)
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with gr.Tab(label='Style', elem_classes=['style_selections_tab']):
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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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@@ -311,16 +361,20 @@ with shared.gradio_root:
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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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for i, (enabled, filename, weight) in enumerate(modules.config.default_loras):
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with gr.Row():
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lora_enabled = gr.Checkbox(label='Enable', value=enabled,
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elem_classes=['lora_enable', 'min_check'], scale=1)
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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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choices=['None'] + modules.config.lora_filenames, value=filename,
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elem_classes='lora_model', scale=5)
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lora_weight = gr.Slider(label='Weight', minimum=modules.config.default_loras_min_weight,
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maximum=modules.config.default_loras_max_weight, step=0.01, value=weight,
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elem_classes='lora_weight', scale=5)
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lora_ctrls += [lora_enabled, 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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refresh_files = 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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@@ -341,7 +395,7 @@ with shared.gradio_root:
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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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refiner_swap_method = gr.Dropdown(label='Refiner swap method', value=flags.refiner_swap_method,
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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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@@ -382,6 +436,24 @@ with shared.gradio_root:
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disable_preview = gr.Checkbox(label='Disable Preview', value=modules.config.default_black_out_nsfw,
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interactive=not modules.config.default_black_out_nsfw,
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info='Disable preview during generation.')
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disable_intermediate_results = gr.Checkbox(label='Disable Intermediate Results',
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value=modules.config.default_performance == flags.Performance.EXTREME_SPEED.value,
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interactive=modules.config.default_performance != flags.Performance.EXTREME_SPEED.value,
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info='Disable intermediate results during generation, only show final gallery.')
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disable_seed_increment = gr.Checkbox(label='Disable seed increment',
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info='Disable automatic seed increment when image number is > 1.',
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value=False)
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read_wildcards_in_order = gr.Checkbox(label="Read wildcards in order", value=False)
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if not args_manager.args.disable_metadata:
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save_metadata_to_images = gr.Checkbox(label='Save Metadata to Images', value=modules.config.default_save_metadata_to_images,
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info='Adds parameters to generated images allowing manual regeneration.')
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metadata_scheme = gr.Radio(label='Metadata Scheme', choices=flags.metadata_scheme, value=modules.config.default_metadata_scheme,
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info='Image Prompt parameters are not included. Use png and a1111 for compatibility with Civitai.',
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visible=modules.config.default_save_metadata_to_images)
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save_metadata_to_images.change(lambda x: gr.update(visible=x), inputs=[save_metadata_to_images], outputs=[metadata_scheme],
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queue=False, show_progress=False)
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black_out_nsfw = gr.Checkbox(label='Black Out NSFW', value=modules.config.default_black_out_nsfw,
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interactive=not modules.config.default_black_out_nsfw,
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@@ -437,7 +509,7 @@ with shared.gradio_root:
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'(default is 0, always process before any mask invert)')
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inpaint_mask_upload_checkbox = gr.Checkbox(label='Enable Mask Upload', value=False)
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invert_mask_checkbox = gr.Checkbox(label='Invert Mask', value=False)
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inpaint_ctrls = [debugging_inpaint_preprocessor, inpaint_disable_initial_latent, inpaint_engine,
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inpaint_strength, inpaint_respective_field,
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inpaint_mask_upload_checkbox, invert_mask_checkbox, inpaint_erode_or_dilate]
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@@ -454,42 +526,72 @@ with shared.gradio_root:
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freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95)
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freeu_ctrls = [freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2]
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adps = [disable_preview, black_out_nsfw, adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg, sampler_name,
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scheduler_name, generate_image_grid, overwrite_step, overwrite_switch, overwrite_width, overwrite_height,
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overwrite_vary_strength, overwrite_upscale_strength,
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mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint,
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debugging_cn_preprocessor, skipping_cn_preprocessor, controlnet_softness,
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canny_low_threshold, canny_high_threshold, refiner_swap_method]
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adps += freeu_ctrls
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adps += inpaint_ctrls
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def dev_mode_checked(r):
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return gr.update(visible=r)
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dev_mode.change(dev_mode_checked, inputs=[dev_mode], outputs=[dev_tools],
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queue=False, show_progress=False)
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def model_refresh_clicked():
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modules.config.update_all_model_names()
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results = []
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results += [gr.update(choices=modules.config.model_filenames), gr.update(choices=['None'] + modules.config.model_filenames)]
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for i in range(5):
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results += [gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
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def refresh_files_clicked():
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modules.config.update_files()
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results = [gr.update(choices=modules.config.model_filenames)]
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results += [gr.update(choices=['None'] + modules.config.model_filenames)]
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if not args_manager.args.disable_preset_selection:
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results += [gr.update(choices=modules.config.available_presets)]
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for i in range(modules.config.default_max_lora_number):
|
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results += [gr.update(interactive=True),
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gr.update(choices=['None'] + modules.config.lora_filenames), gr.update()]
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return results
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model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls,
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refresh_files_output = [base_model, refiner_model]
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if not args_manager.args.disable_preset_selection:
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refresh_files_output += [preset_selection]
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refresh_files.click(refresh_files_clicked, [], refresh_files_output + lora_ctrls,
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queue=False, show_progress=False)
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performance_selection.change(lambda x: [gr.update(interactive=x != 'Extreme Speed')] * 11 +
|
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[gr.update(visible=x != 'Extreme Speed')] * 1,
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state_is_generating = gr.State(False)
|
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|
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load_data_outputs = [advanced_checkbox, image_number, prompt, negative_prompt, style_selections,
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performance_selection, overwrite_step, overwrite_switch, aspect_ratios_selection,
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overwrite_width, overwrite_height, guidance_scale, sharpness, adm_scaler_positive,
|
||||
adm_scaler_negative, adm_scaler_end, refiner_swap_method, adaptive_cfg, base_model,
|
||||
refiner_model, refiner_switch, sampler_name, scheduler_name, seed_random, image_seed,
|
||||
generate_button, load_parameter_button] + freeu_ctrls + lora_ctrls
|
||||
|
||||
if not args_manager.args.disable_preset_selection:
|
||||
def preset_selection_change(preset, is_generating):
|
||||
preset_content = modules.config.try_get_preset_content(preset) if preset != 'initial' else {}
|
||||
preset_prepared = modules.meta_parser.parse_meta_from_preset(preset_content)
|
||||
|
||||
default_model = preset_prepared.get('base_model')
|
||||
previous_default_models = preset_prepared.get('previous_default_models', [])
|
||||
checkpoint_downloads = preset_prepared.get('checkpoint_downloads', {})
|
||||
embeddings_downloads = preset_prepared.get('embeddings_downloads', {})
|
||||
lora_downloads = preset_prepared.get('lora_downloads', {})
|
||||
|
||||
preset_prepared['base_model'], preset_prepared['lora_downloads'] = launch.download_models(
|
||||
default_model, previous_default_models, checkpoint_downloads, embeddings_downloads, lora_downloads)
|
||||
|
||||
if 'prompt' in preset_prepared and preset_prepared.get('prompt') == '':
|
||||
del preset_prepared['prompt']
|
||||
|
||||
return modules.meta_parser.load_parameter_button_click(json.dumps(preset_prepared), is_generating)
|
||||
|
||||
preset_selection.change(preset_selection_change, inputs=[preset_selection, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
|
||||
.then(fn=style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, queue=False, show_progress=False) \
|
||||
|
||||
performance_selection.change(lambda x: [gr.update(interactive=not flags.Performance.has_restricted_features(x))] * 11 +
|
||||
[gr.update(visible=not flags.Performance.has_restricted_features(x))] * 1 +
|
||||
[gr.update(interactive=not flags.Performance.has_restricted_features(x), value=flags.Performance.has_restricted_features(x))] * 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
|
||||
scheduler_name, adaptive_cfg, refiner_swap_method, negative_prompt, disable_intermediate_results
|
||||
], queue=False, show_progress=False)
|
||||
|
||||
|
||||
output_format.input(lambda x: gr.update(output_format=x), inputs=output_format)
|
||||
|
||||
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)
|
||||
@@ -527,29 +629,36 @@ with shared.gradio_root:
|
||||
inpaint_strength, inpaint_respective_field
|
||||
], show_progress=False, queue=False)
|
||||
|
||||
ctrls = [
|
||||
ctrls = [currentTask, generate_image_grid]
|
||||
ctrls += [
|
||||
prompt, negative_prompt, style_selections,
|
||||
performance_selection, aspect_ratios_selection, image_number, image_seed, sharpness, guidance_scale
|
||||
performance_selection, aspect_ratios_selection, image_number, output_format, image_seed,
|
||||
read_wildcards_in_order, 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
|
||||
ctrls += [disable_preview, disable_intermediate_results, disable_seed_increment]
|
||||
ctrls += [adm_scaler_positive, adm_scaler_negative, adm_scaler_end, adaptive_cfg]
|
||||
ctrls += [sampler_name, scheduler_name]
|
||||
ctrls += [overwrite_step, overwrite_switch, overwrite_width, overwrite_height, overwrite_vary_strength]
|
||||
ctrls += [overwrite_upscale_strength, mixing_image_prompt_and_vary_upscale, mixing_image_prompt_and_inpaint]
|
||||
ctrls += [debugging_cn_preprocessor, skipping_cn_preprocessor, canny_low_threshold, canny_high_threshold]
|
||||
ctrls += [refiner_swap_method, controlnet_softness]
|
||||
ctrls += freeu_ctrls
|
||||
ctrls += inpaint_ctrls
|
||||
|
||||
state_is_generating = gr.State(False)
|
||||
if not args_manager.args.disable_metadata:
|
||||
ctrls += [save_metadata_to_images, metadata_scheme]
|
||||
|
||||
ctrls += ip_ctrls
|
||||
|
||||
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 is_json(raw_prompt_txt):
|
||||
loaded_json = json.loads(raw_prompt_txt)
|
||||
|
||||
if loaded_json is None:
|
||||
if is_generating:
|
||||
@@ -561,39 +670,30 @@ with shared.gradio_root:
|
||||
|
||||
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)
|
||||
load_parameter_button.click(modules.meta_parser.load_parameter_button_click, inputs=[prompt, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=False)
|
||||
|
||||
def trigger_metadata_import(filepath, state_is_generating):
|
||||
parameters, metadata_scheme = modules.meta_parser.read_info_from_image(filepath)
|
||||
if parameters is None:
|
||||
print('Could not find metadata in the image!')
|
||||
parsed_parameters = {}
|
||||
else:
|
||||
metadata_parser = modules.meta_parser.get_metadata_parser(metadata_scheme)
|
||||
parsed_parameters = metadata_parser.parse_json(parameters)
|
||||
|
||||
return modules.meta_parser.load_parameter_button_click(parsed_parameters, state_is_generating)
|
||||
|
||||
metadata_import_button.click(trigger_metadata_import, inputs=[metadata_input_image, state_is_generating], outputs=load_data_outputs, queue=False, show_progress=True) \
|
||||
.then(style_sorter.sort_styles, inputs=style_selections, outputs=style_selections, 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(fn=get_task, inputs=ctrls, outputs=currentTask) \
|
||||
.then(fn=generate_clicked, inputs=currentTask, 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=update_history_link, outputs=history_link) \
|
||||
.then(fn=lambda: None, _js='playNotification').then(fn=lambda: None, _js='refresh_grid_delayed')
|
||||
|
||||
for notification_file in ['notification.ogg', 'notification.mp3']:
|
||||
@@ -626,6 +726,7 @@ shared.gradio_root.launch(
|
||||
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,
|
||||
auth=check_auth if (args_manager.args.share or args_manager.args.listen) and auth_enabled else None,
|
||||
allowed_paths=[modules.config.path_outputs],
|
||||
blocked_paths=[constants.AUTH_FILENAME]
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user