abidlabs/ControlNet

1#!/usr/bin/env python2 3from __future__ import annotations4 5import os6import pathlib7import shlex8import subprocess9 10import gradio as gr11 12if os.getenv('SYSTEM') == 'spaces':13    with open('patch') as f:14        subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet')15 16base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/'17names = [18    'body_pose_model.pth',19    'dpt_hybrid-midas-501f0c75.pt',20    'hand_pose_model.pth',21    'mlsd_large_512_fp32.pth',22    'mlsd_tiny_512_fp32.pth',23    'network-bsds500.pth',24    'upernet_global_small.pth',25]26for name in names:27    command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}'28    out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}')29    if out_path.exists():30        continue31    subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')32 33from gradio_canny2image import create_demo as create_demo_canny34from gradio_depth2image import create_demo as create_demo_depth35from gradio_fake_scribble2image import create_demo as create_demo_fake_scribble36from gradio_hed2image import create_demo as create_demo_hed37from gradio_hough2image import create_demo as create_demo_hough38from gradio_normal2image import create_demo as create_demo_normal39from gradio_pose2image import create_demo as create_demo_pose40from gradio_scribble2image import create_demo as create_demo_scribble41from gradio_scribble2image_interactive import \42    create_demo as create_demo_scribble_interactive43from gradio_seg2image import create_demo as create_demo_seg44from model import Model45 46MAX_IMAGES = 147 48 49model = Model()50 51with gr.Blocks(css='style.css') as demo:52    create_demo_canny(model.process_canny, max_images=MAX_IMAGES)53 54demo.queue(api_open=False).launch()55