demo/app.py

import os
import gradio as gr
from .model import Model
from huggingface_hub import hf_hub_download
from app_canny import create_demo as create_demo_canny
from app_depth import create_demo as create_demo_depth

hf_hub_download(repo_id='wondervictor/ControlAR',
                filename='canny_base.safetensors',
                local_dir='./checkpoints/')
hf_hub_download(repo_id='wondervictor/ControlAR',
                filename='depth_base.safetensors',
                local_dir='./checkpoints/')
# hf_hub_download('google/flan-t5-xl', cache_dir='./checkpoints/')

DESCRIPTION = "# [ControlAR: Controllable Image Generation with Autoregressive Models](https://arxiv.org/abs/2410.02705) \n ### The first row in outputs is the input image and condition. The second row is the images generated by ControlAR.  \n ### You can run locally by following the instruction on our [Github Repo](https://github.com/hustvl/ControlAR)."
SHOW_DUPLICATE_BUTTON = os.getenv("SHOW_DUPLICATE_BUTTON") == "1"
model = Model()
device = "cuda"
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("Depth"):
            create_demo_depth(model.process_depth)
        with gr.TabItem("Canny"):
            create_demo_canny(model.process_edge)

if __name__ == "__main__":
    demo.launch(share=False)