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#!/usr/bin/env python
from __future__ import annotations
import os
import gradio as gr
import torch
from app_canny import create_demo as create_demo_canny
from app_depth import create_demo as create_demo_depth
from app_ip2p import create_demo as create_demo_ip2p
from app_lineart import create_demo as create_demo_lineart
from app_mlsd import create_demo as create_demo_mlsd
from app_normal import create_demo as create_demo_normal
from app_openpose import create_demo as create_demo_openpose
from app_scribble import create_demo as create_demo_scribble
from app_scribble_interactive import \
create_demo as create_demo_scribble_interactive
from app_segmentation import create_demo as create_demo_segmentation
from app_shuffle import create_demo as create_demo_shuffle
from app_softedge import create_demo as create_demo_softedge
from model import Model
DESCRIPTION = '# ControlNet v1.1'
SPACE_ID = os.getenv('SPACE_ID')
ALLOW_CHANGING_BASE_MODEL = SPACE_ID != 'hysts/ControlNet-v1-1'
if SPACE_ID is not None:
DESCRIPTION += f'\n<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'
if not torch.cuda.is_available():
DESCRIPTION += '\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>'
MAX_NUM_IMAGES = int(os.getenv('MAX_NUM_IMAGES', '3'))
DEFAULT_NUM_IMAGES = min(MAX_NUM_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_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('MLSD'):
create_demo_mlsd(model.process_mlsd,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Scribble'):
create_demo_scribble(model.process_scribble,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Scribble Interactive'):
create_demo_scribble_interactive(
model.process_scribble_interactive,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('SoftEdge'):
create_demo_softedge(model.process_softedge,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('OpenPose'):
create_demo_openpose(model.process_openpose,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Segmentation'):
create_demo_segmentation(model.process_segmentation,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Depth'):
create_demo_depth(model.process_depth,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Normal map'):
create_demo_normal(model.process_normal,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Lineart'):
create_demo_lineart(model.process_lineart,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Content Shuffle'):
create_demo_shuffle(model.process_shuffle,
max_images=MAX_NUM_IMAGES,
default_num_images=DEFAULT_NUM_IMAGES)
with gr.TabItem('Instruct Pix2Pix'):
create_demo_ip2p(model.process_ip2p,
max_images=MAX_NUM_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():
new_base_model_id = gr.Text(
label='New base model',
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', interactive=ALLOW_CHANGING_BASE_MODEL)
if not ALLOW_CHANGING_BASE_MODEL:
gr.Markdown(
'''The base model is not allowed to be changed in this Space so as not to slow down the demo, but it can be changed if you duplicate the Space. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a>'''
)
check_base_model_button.click(fn=lambda: model.base_model_id,
outputs=current_base_model,
queue=False)
new_base_model_id.submit(fn=model.set_base_model,
inputs=new_base_model_id,
outputs=current_base_model)
change_base_model_button.click(fn=model.set_base_model,
inputs=new_base_model_id,
outputs=current_base_model)
demo.queue(max_size=20).launch()
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