app_o.py

#!/usr/bin/env python

from __future__ import annotations

import os
import pathlib
import shlex
import subprocess

import gradio as gr

if os.getenv('SYSTEM') == 'spaces':
    with open('patch') as f:
        subprocess.run(shlex.split('patch -p1'), stdin=f, cwd='ControlNet')

base_url = 'https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/'
names = [
    'body_pose_model.pth',
    'dpt_hybrid-midas-501f0c75.pt',
    'hand_pose_model.pth',
    'mlsd_large_512_fp32.pth',
    'mlsd_tiny_512_fp32.pth',
    'network-bsds500.pth',
    'upernet_global_small.pth',
]
for name in names:
    command = f'wget https://huggingface.co/lllyasviel/ControlNet/resolve/main/annotator/ckpts/{name} -O {name}'
    out_path = pathlib.Path(f'ControlNet/annotator/ckpts/{name}')
    if out_path.exists():
        continue
    subprocess.run(shlex.split(command), cwd='ControlNet/annotator/ckpts/')

from gradio_canny2image import create_demo as create_demo_canny
from gradio_depth2image import create_demo as create_demo_depth
from gradio_fake_scribble2image import create_demo as create_demo_fake_scribble
from gradio_hed2image import create_demo as create_demo_hed
from gradio_hough2image import create_demo as create_demo_hough
from gradio_normal2image import create_demo as create_demo_normal
from gradio_pose2image import create_demo as create_demo_pose
from gradio_scribble2image import create_demo as create_demo_scribble
from gradio_scribble2image_interactive import \
    create_demo as create_demo_scribble_interactive
from gradio_seg2image import create_demo as create_demo_seg
from model import Model

MAX_IMAGES = 1
DESCRIPTION = '''# ControlNet

This is an unofficial demo for [https://github.com/lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet).

If you are interested in trying out other base models, check out [this Space](https://huggingface.co/spaces/hysts/ControlNet-with-other-models) as well.
'''
if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
    DESCRIPTION += f'''<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings.<br/>
<a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true">
<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
<p/>
'''

model = Model()

with gr.Blocks(css='style.css') as demo:
    gr.Markdown(DESCRIPTION)
    with gr.Tabs():
        with gr.TabItem('Canny'):
            create_demo_canny(model.process_canny, max_images=MAX_IMAGES)
        with gr.TabItem('Hough'):
            create_demo_hough(model.process_hough, max_images=MAX_IMAGES)
        with gr.TabItem('HED'):
            create_demo_hed(model.process_hed, max_images=MAX_IMAGES)
        with gr.TabItem('Scribble'):
            create_demo_scribble(model.process_scribble, max_images=MAX_IMAGES)
        with gr.TabItem('Scribble Interactive'):
            create_demo_scribble_interactive(
                model.process_scribble_interactive, max_images=MAX_IMAGES)
        with gr.TabItem('Fake Scribble'):
            create_demo_fake_scribble(model.process_fake_scribble,
                                      max_images=MAX_IMAGES)
        with gr.TabItem('Pose'):
            create_demo_pose(model.process_pose, max_images=MAX_IMAGES)
        with gr.TabItem('Segmentation'):
            create_demo_seg(model.process_seg, max_images=MAX_IMAGES)
        with gr.TabItem('Depth'):
            create_demo_depth(model.process_depth, max_images=MAX_IMAGES)
        with gr.TabItem('Normal map'):
            create_demo_normal(model.process_normal, max_images=MAX_IMAGES)

demo.queue(api_open=False).launch()