162 lines
10 KiB
Python
162 lines
10 KiB
Python
import gradio as gr
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import random
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import time
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import shared
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import argparse
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import modules.path
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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.flags as flags
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import comfy.model_management as model_management
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from modules.sdxl_styles import style_keys, aspect_ratios, fooocus_expansion, default_styles
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def generate_clicked(*args):
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yield gr.update(visible=True, value=modules.html.make_progress_html(1, 'Initializing ...')), \
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gr.update(visible=True, value=None), \
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gr.update(visible=False)
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worker.buffer.append(list(args))
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finished = False
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while not finished:
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time.sleep(0.01)
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if len(worker.outputs) > 0:
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flag, product = worker.outputs.pop(0)
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if flag == 'preview':
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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(visible=False)
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if flag == 'results':
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yield 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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return
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shared.gradio_root = gr.Blocks(title='Fooocus ' + fooocus_version.version, 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():
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progress_window = gr.Image(label='Preview', show_label=True, height=640, visible=False)
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progress_html = gr.HTML(value=modules.html.make_progress_html(32, 'Progress 32%'), visible=False, elem_id='progress-bar', elem_classes='progress-bar')
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gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720, visible=True)
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with gr.Row(elem_classes='type_row'):
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with gr.Column(scale=0.85):
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prompt = gr.Textbox(show_label=False, placeholder="Type prompt here.", container=False, autofocus=True, elem_classes='type_row', lines=1024)
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with gr.Column(scale=0.15, min_width=0):
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run_button = gr.Button(label="Generate", value="Generate", elem_classes='type_row', visible=True)
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stop_button = gr.Button(label="Stop", value="Stop", elem_classes='type_row', visible=False)
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def stop_clicked():
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model_management.interrupt_current_processing()
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return gr.update(interactive=False)
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stop_button.click(stop_clicked, outputs=stop_button, queue=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=False, 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 = gr.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">\U0001F4D4 Document</a>')
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with gr.TabItem(label='Inpaint or Outpaint (beta)') as inpaint_tab:
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inpaint_input_image = gr.Image(label='Drag above image to here', source='upload', type='numpy', tool='sketch', height=500, brush_color="#FFFFFF")
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gr.HTML('Outpaint Expansion (<a href="https://github.com/lllyasviel/Fooocus/discussions/414">\U0001F4D4 Document</a>):')
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outpaint_selections = gr.CheckboxGroup(choices=['Left', 'Right', 'Top', 'Bottom'], value=[], label='Outpaint', show_label=False, container=False)
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gr.HTML('* \"Inpaint or Outpaint\" is powered by the sampler \"DPMPP Fooocus Seamless 2M SDE Karras Inpaint Sampler\" (beta)')
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input_image_checkbox.change(lambda x: gr.update(visible=x), inputs=input_image_checkbox, outputs=image_input_panel, queue=False,
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_js="(x) => {if(x){setTimeout(() => window.scrollTo({ top: window.scrollY + 500, behavior: 'smooth' }), 50);}else{setTimeout(() => window.scrollTo({ top: 0, behavior: 'smooth' }), 50);} return x}")
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current_tab = gr.Textbox(value='uov', visible=False)
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uov_tab.select(lambda: ['uov', worker.default_image], outputs=[current_tab, uov_input_image], queue=False)
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inpaint_tab.select(lambda: ['inpaint', worker.default_image], outputs=[current_tab, inpaint_input_image], queue=False)
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with gr.Column(scale=0.5, visible=False) as right_col:
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with gr.Tab(label='Setting'):
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performance_selction = gr.Radio(label='Performance', choices=['Speed', 'Quality'], value='Speed')
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aspect_ratios_selction = gr.Radio(label='Aspect Ratios', choices=list(aspect_ratios.keys()),
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value='1152×896', info='width × height')
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image_number = gr.Slider(label='Image Number', minimum=1, maximum=32, step=1, value=2)
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negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.",
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info='Describing objects that you do not want to see.')
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seed_random = gr.Checkbox(label='Random', value=True)
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image_seed = gr.Number(label='Seed', value=0, precision=0, 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, s):
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if r:
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return random.randint(1, 1024*1024*1024)
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else:
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return s
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seed_random.change(random_checked, inputs=[seed_random], outputs=[image_seed], queue=False)
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with gr.Tab(label='Style'):
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style_selections = gr.CheckboxGroup(show_label=False, container=False,
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choices=[fooocus_expansion] + style_keys,
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value=[fooocus_expansion] + default_styles,
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label='Image Style')
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with gr.Tab(label='Advanced'):
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with gr.Row():
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base_model = gr.Dropdown(label='SDXL Base Model', choices=modules.path.model_filenames, value=modules.path.default_base_model_name, show_label=True)
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refiner_model = gr.Dropdown(label='SDXL Refiner', choices=['None'] + modules.path.model_filenames, value=modules.path.default_refiner_model_name, show_label=True)
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with gr.Accordion(label='LoRAs', open=True):
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lora_ctrls = []
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for i in range(5):
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with gr.Row():
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lora_model = gr.Dropdown(label=f'SDXL LoRA {i+1}', choices=['None'] + modules.path.lora_filenames, value=modules.path.default_lora_name if i == 0 else 'None')
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lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=modules.path.default_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.Accordion(label='Advanced', open=False):
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sharpness = gr.Slider(label='Sampling Sharpness', minimum=0.0, maximum=30.0, step=0.01, value=2.0)
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gr.HTML('<a href="https://github.com/lllyasviel/Fooocus/discussions/117">\U0001F4D4 Document</a>')
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def model_refresh_clicked():
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modules.path.update_all_model_names()
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results = []
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results += [gr.update(choices=modules.path.model_filenames), gr.update(choices=['None'] + modules.path.model_filenames)]
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for i in range(5):
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results += [gr.update(choices=['None'] + modules.path.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, queue=False)
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advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, right_col, queue=False)
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ctrls = [
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prompt, negative_prompt, style_selections,
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performance_selction, aspect_ratios_selction, image_number, image_seed, sharpness
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]
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ctrls += [base_model, refiner_model] + lora_ctrls
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ctrls += [input_image_checkbox, current_tab]
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ctrls += [uov_method, uov_input_image]
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ctrls += [outpaint_selections, inpaint_input_image]
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run_button.click(lambda: (gr.update(visible=True, interactive=True), gr.update(visible=False), []), outputs=[stop_button, run_button, gallery])\
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.then(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed)\
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.then(fn=generate_clicked, inputs=ctrls, outputs=[progress_html, progress_window, gallery])\
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.then(lambda: (gr.update(visible=True), gr.update(visible=False)), outputs=[run_button, stop_button])
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parser = argparse.ArgumentParser()
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parser.add_argument("--port", type=int, default=None, help="Set the listen port.")
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parser.add_argument("--share", action='store_true', help="Set whether to share on Gradio.")
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parser.add_argument("--listen", type=str, default=None, metavar="IP", nargs="?", const="0.0.0.0", help="Set the listen interface.")
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args = parser.parse_args()
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shared.gradio_root.launch(inbrowser=True, server_name=args.listen, server_port=args.port, share=args.share)
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