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from __future__ import annotations |
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import os |
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import pathlib |
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import shlex |
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import subprocess |
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import gradio as gr |
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if os.getenv('SYSTEM') == 'spaces': |
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with open('patch') as f: |
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subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet') |
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base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/' |
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names = [ |
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'body_pose_model.pth', |
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'dpt_hybrid-midas-501f0c75.pt', |
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'hand_pose_model.pth', |
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'mlsd_large_512_fp32.pth', |
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'mlsd_tiny_512_fp32.pth', |
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'network-bsds500.pth', |
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'upernet_global_small.pth', |
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] |
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for name in names: |
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command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}' |
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out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}') |
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if out_path.exists(): |
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continue |
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subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/') |
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from gradio_canny2image import create_demo as create_demo_canny |
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from gradio_depth2image import create_demo as create_demo_depth |
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from gradio_fake_scribble2image import create_demo as create_demo_fake_scribble |
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from gradio_hed2image import create_demo as create_demo_hed |
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from gradio_hough2image import create_demo as create_demo_hough |
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from gradio_normal2image import create_demo as create_demo_normal |
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from gradio_pose2image import create_demo as create_demo_pose |
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from gradio_scribble2image import create_demo as create_demo_scribble |
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from gradio_scribble2image_interactive import \ |
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create_demo as create_demo_scribble_interactive |
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from gradio_seg2image import create_demo as create_demo_seg |
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from model import Model |
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MAX_IMAGES = 1 |
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DESCRIPTION = '''# ControlNet |
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This is an unofficial demo for [https://github.com/lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet). |
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''' |
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if (SPACE_ID := os.getenv('SPACE_ID')) is not None: |
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DESCRIPTION += f'''<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.<br/> |
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<a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"> |
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> |
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<p/> |
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''' |
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model = Model() |
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with gr.Blocks(css='style.css') as demo: |
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gr.Markdown(DESCRIPTION) |
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with gr.Tabs(): |
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with gr.TabItem('Canny'): |
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create_demo_canny(model.process_canny, max_images=MAX_IMAGES) |
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with gr.TabItem('Hough'): |
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create_demo_hough(model.process_hough, max_images=MAX_IMAGES) |
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with gr.TabItem('HED'): |
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create_demo_hed(model.process_hed, max_images=MAX_IMAGES) |
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with gr.TabItem('Scribble'): |
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create_demo_scribble(model.process_scribble, max_images=MAX_IMAGES) |
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with gr.TabItem('Scribble Interactive'): |
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create_demo_scribble_interactive( |
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model.process_scribble_interactive, max_images=MAX_IMAGES) |
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with gr.TabItem('Fake Scribble'): |
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create_demo_fake_scribble(model.process_fake_scribble, |
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max_images=MAX_IMAGES) |
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with gr.TabItem('Pose'): |
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create_demo_pose(model.process_pose, max_images=MAX_IMAGES) |
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with gr.TabItem('Segmentation'): |
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create_demo_seg(model.process_seg, max_images=MAX_IMAGES) |
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with gr.TabItem('Depth'): |
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create_demo_depth(model.process_depth, max_images=MAX_IMAGES) |
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with gr.TabItem('Normal map'): |
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create_demo_normal(model.process_normal, max_images=MAX_IMAGES) |
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demo.queue(api_open=False).launch() |
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