control-lora-v3 / app.py
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#!/usr/bin/env python
from __future__ import annotations
import spaces
import gradio as gr
import torch
import PIL.Image
import numpy as np
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 app_tile import create_demo as create_demo_tile
from model import Model
from settings import ALLOW_CHANGING_BASE_MODEL, DEFAULT_MODEL_ID, SHOW_DUPLICATE_BUTTON
DESCRIPTION = r"""
# ControlLoRA Version 3: LoRA Is All You Need to Control the Spatial Information of Stable Diffusion
<center>
<a href="https://huggingface.co/HighCWu/control-lora-v3">[Models]</a>
<a href="https://github.com/HighCWu/control-lora-v3">[Github]</a>
</center>
"""
model = Model(base_model_id=DEFAULT_MODEL_ID, task_name="Canny")
with gr.Blocks(css="style.css") as demo:
gr.Markdown(DESCRIPTION)
gr.DuplicateButton(
value="Duplicate Space for private use",
elem_id="duplicate-button",
visible=SHOW_DUPLICATE_BUTTON,
)
with gr.Tabs():
with gr.TabItem("Canny"):
create_demo_canny(spaces.GPU(model.process_canny))
# with gr.TabItem("MLSD"):
# create_demo_mlsd(spaces.GPU(model.process_mlsd))
# with gr.TabItem("Scribble"):
# create_demo_scribble(spaces.GPU(model.process_scribble))
# with gr.TabItem("Scribble Interactive"):
# create_demo_scribble_interactive(spaces.GPU(model.process_scribble_interactive))
# with gr.TabItem("SoftEdge"):
# create_demo_softedge(spaces.GPU(model.process_softedge))
with gr.TabItem("OpenPose"):
create_demo_openpose(spaces.GPU(model.process_openpose))
with gr.TabItem("Segmentation"):
create_demo_segmentation(spaces.GPU(model.process_segmentation))
with gr.TabItem("Depth"):
create_demo_depth(spaces.GPU(model.process_depth))
with gr.TabItem("Normal map"):
create_demo_normal(spaces.GPU(model.process_normal))
# with gr.TabItem("Lineart"):
# create_demo_lineart(spaces.GPU(model.process_lineart))
# with gr.TabItem("Content Shuffle"):
# create_demo_shuffle(spaces.GPU(model.process_shuffle))
# with gr.TabItem("Instruct Pix2Pix"):
# create_demo_ip2p(spaces.GPU(model.process_ip2p))
with gr.TabItem("Tile"):
create_demo_tile(spaces.GPU(model.process_tile))
with gr.Accordion(label="Base model", open=False):
with gr.Row():
with gr.Column(scale=5):
current_base_model = gr.Text(label="Current base model")
with gr.Column(scale=1):
check_base_model_button = gr.Button("Check current base model")
with gr.Row():
with gr.Column(scale=5):
new_base_model_id = gr.Text(
label="New base model",
max_lines=1,
placeholder="SG161222/Realistic_Vision_V4.0_noVAE",
info="The base model must be compatible with Stable Diffusion v1.5.",
interactive=ALLOW_CHANGING_BASE_MODEL,
)
with gr.Column(scale=1):
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."""
)
check_base_model_button.click(
fn=lambda: model.base_model_id,
outputs=current_base_model,
queue=False,
api_name="check_base_model",
)
gr.on(
triggers=[new_base_model_id.submit, change_base_model_button.click],
fn=model.set_base_model,
inputs=new_base_model_id,
outputs=current_base_model,
api_name=False,
)
if __name__ == "__main__":
demo.queue(max_size=20).launch()