HIST/ControlNet
0
1#!/usr/bin/env python2 3from __future__ import annotations4 5import os6import shlex7import subprocess8 9import gradio as gr10 11if os.getenv('SYSTEM') == 'spaces':12 with open('patch') as f:13 subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet')14 commands = [15 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/dpt_hybrid-midas-501f0c75.pt -O dpt_hybrid-midas-501f0c75.pt',16 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/body_pose_model.pth -O body_pose_model.pth',17 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/hand_pose_model.pth -O hand_pose_model.pth',18 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/mlsd_large_512_fp32.pth -O mlsd_large_512_fp32.pth',19 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/mlsd_tiny_512_fp32.pth -O mlsd_tiny_512_fp32.pth',20 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/network-bsds500.pth -O network-bsds500.pth',21 'wget https://huggingface.co/ckpt/ControlNet/resolve/main/upernet_global_small.pth -O upernet_global_small.pth',22 ]23 for command in commands:24 subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')25 26from gradio_canny2image import create_demo as create_demo_canny27from gradio_depth2image import create_demo as create_demo_depth28from gradio_fake_scribble2image import create_demo as create_demo_fake_scribble29from gradio_hed2image import create_demo as create_demo_hed30from gradio_hough2image import create_demo as create_demo_hough31from gradio_normal2image import create_demo as create_demo_normal32from gradio_pose2image import create_demo as create_demo_pose33from gradio_scribble2image import create_demo as create_demo_scribble34from gradio_scribble2image_interactive import \35 create_demo as create_demo_scribble_interactive36from gradio_seg2image import create_demo as create_demo_seg37from model import Model38 39DESCRIPTION = '''# ControlNet40 41This is an unofficial demo for [https://github.com/lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet).42'''43if (SPACE_ID := os.getenv('SPACE_ID')) is not None:44 DESCRIPTION += f'''<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.<br/>45<a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true">46<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>47<p/>48'''49 50model = Model()51 52with gr.Blocks(css='style.css') as demo:53 gr.Markdown(DESCRIPTION)54 with gr.Tabs():55 with gr.TabItem('Canny'):56 create_demo_canny(model.process_canny)57 with gr.TabItem('Hough'):58 create_demo_hough(model.process_hough)59 with gr.TabItem('HED'):60 create_demo_hed(model.process_hed)61 with gr.TabItem('Scribble'):62 create_demo_scribble(model.process_scribble)63 with gr.TabItem('Scribble Interactive'):64 create_demo_scribble_interactive(65 model.process_scribble_interactive)66 with gr.TabItem('Fake Scribble'):67 create_demo_fake_scribble(model.process_fake_scribble)68 with gr.TabItem('Pose'):69 create_demo_pose(model.process_pose)70 with gr.TabItem('Segmentation'):71 create_demo_seg(model.process_seg)72 with gr.TabItem('Depth'):73 create_demo_depth(model.process_depth)74 with gr.TabItem('Normal map'):75 create_demo_normal(model.process_normal)76 77demo.queue(api_open=False).launch()78 