app.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 app_canny import create_demo as create_demo_canny
from app_depth import create_demo as create_demo_depth
from app_fake_scribble import create_demo as create_demo_fake_scribble
from app_hed import create_demo as create_demo_hed
from app_hough import create_demo as create_demo_hough
from app_normal import create_demo as create_demo_normal
from app_pose import create_demo as create_demo_pose
from app_scribble import create_demo as create_demo_scribble
from app_scribble_interactive import \
    create_demo as create_demo_scribble_interactive
from app_seg import create_demo as create_demo_seg
from model import Model

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.
'''

SPACE_ID = os.getenv('SPACE_ID')
ALLOW_CHANGING_BASE_MODEL = SPACE_ID != 'hysts/ControlNet'

if not ALLOW_CHANGING_BASE_MODEL:
    DESCRIPTION += 'In this Space, the base model is not allowed to be changed so as not to slow down the demo, but it can be changed if you duplicate the Space.'

if 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/>
'''

MAX_IMAGES = int(os.getenv('MAX_IMAGES', '3'))
DEFAULT_NUM_IMAGES = min(MAX_IMAGES, int(os.getenv('DEFAULT_NUM_IMAGES', '1')))

DEFAULT_MODEL_ID = os.getenv('DEFAULT_MODEL_ID',
                             'runwayml/stable-diffusion-v1-5')
model = Model(base_model_id=DEFAULT_MODEL_ID, task_name='canny')

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,
                              default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Hough'):
            create_demo_hough(model.process_hough,
                              max_images=MAX_IMAGES,
                              default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('HED'):
            create_demo_hed(model.process_hed,
                            max_images=MAX_IMAGES,
                            default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Scribble'):
            create_demo_scribble(model.process_scribble,
                                 max_images=MAX_IMAGES,
                                 default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Scribble Interactive'):
            create_demo_scribble_interactive(
                model.process_scribble_interactive,
                max_images=MAX_IMAGES,
                default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Fake Scribble'):
            create_demo_fake_scribble(model.process_fake_scribble,
                                      max_images=MAX_IMAGES,
                                      default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Pose'):
            create_demo_pose(model.process_pose,
                             max_images=MAX_IMAGES,
                             default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Segmentation'):
            create_demo_seg(model.process_seg,
                            max_images=MAX_IMAGES,
                            default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Depth'):
            create_demo_depth(model.process_depth,
                              max_images=MAX_IMAGES,
                              default_num_images=DEFAULT_NUM_IMAGES)
        with gr.TabItem('Normal map'):
            create_demo_normal(model.process_normal,
                               max_images=MAX_IMAGES,
                               default_num_images=DEFAULT_NUM_IMAGES)

    with gr.Accordion(label='Base model', open=False):
        with gr.Row():
            with gr.Column():
                current_base_model = gr.Text(label='Current base model')
            with gr.Column(scale=0.3):
                check_base_model_button = gr.Button('Check current base model')
        with gr.Row():
            with gr.Column():
                base_model_id = gr.Text(
                    label='Base model repo',
                    max_lines=1,
                    placeholder='runwayml/stable-diffusion-v1-5',
                    info=
                    'The base model must be compatible with Stable Diffusion v1.5.',
                    interactive=ALLOW_CHANGING_BASE_MODEL)
            with gr.Column(scale=0.3):
                change_base_model_button = gr.Button('Change base model')

    check_base_model_button.click(fn=lambda: model.base_model_id,
                                  outputs=current_base_model)
    base_model_id.submit(fn=model.set_base_model,
                         inputs=base_model_id,
                         outputs=current_base_model)
    change_base_model_button.click(fn=model.set_base_model,
                                   inputs=base_model_id,
                                   outputs=current_base_model)

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