09e0d1cb3a
* Reworked SAG, removed unnecessary patch * Reworked anisotropic filters for faster compute. * Replaced with guided anisotropic filter for less distribution.
123 lines
6.8 KiB
Python
123 lines
6.8 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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from modules.sdxl_styles import style_keys, aspect_ratios
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def generate_clicked(*args):
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yield gr.update(interactive=False), \
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gr.update(visible=True, value=modules.html.make_progress_html(1, 'Processing text encoding ...')), \
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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(interactive=False), \
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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(interactive=True), \
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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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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')
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with gr.Row():
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advanced_checkbox = gr.Checkbox(label='Advanced', value=False, container=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 (width × height)', choices=list(aspect_ratios.keys()),
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value='1152×896')
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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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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])
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with gr.Tab(label='Style'):
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style_selction = gr.Radio(show_label=False, container=True,
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choices=style_keys, value='cinematic-default')
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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)
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advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, right_col)
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ctrls = [
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prompt, negative_prompt, style_selction,
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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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run_button.click(fn=refresh_seed, inputs=[seed_random, image_seed], outputs=image_seed)\
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.then(fn=generate_clicked, inputs=ctrls, outputs=[run_button, progress_html, progress_window, gallery])
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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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