app_depth.py

import gradio as gr
import random
def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
    if randomize_seed:
        seed = random.randint(0, 100000000)
    return seed
examples = [
    [
        "condition/example/t2i/multigen/sofa.png",
        "The red sofa in the living room has several pillows on it",
        "(512, 512)"
    ],
    [
        "condition/example/t2i/multigen/house.png",
        "A brick house with a chimney under a starry sky.",
        "(512, 512)"
    ],
    [
        "condition/example/t2i/multi_resolution/car.jpg",
        "a sport car",
        "(448, 768)"
    ]
]
def create_demo(process):
    with gr.Blocks() as demo:
        with gr.Row():
            with gr.Column():
                image = gr.Image()
                prompt = gr.Textbox(label="Prompt")
                run_button = gr.Button("Run")
                with gr.Accordion("Advanced options", open=False):
                    cfg_scale = gr.Slider(label="Guidance scale", minimum=0.1, maximum=30.0, value=4, step=0.1)
                    resolution = gr.Slider(label="(H, W)", minimum=384, maximum=768, value=512, step=16)
                    top_k = gr.Slider(minimum=1, maximum=16384, step=1, value=2000, label='Top-K')
                    top_p = gr.Slider(minimum=0., maximum=1.0, step=0.1, value=1.0, label="Top-P")
                    temperature = gr.Slider(minimum=0., maximum=1.0, step=0.1, value=1.0, label='Temperature')
                    seed = gr.Slider(label="Seed", minimum=0, maximum=100000000, step=1, value=0)
                    randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
            with gr.Column():
                result = gr.Gallery(label="Output", show_label=False, height='800px', columns=2, object_fit="scale-down")
        gr.Examples(
            examples=examples,
            inputs=[
                image,
                prompt,
                resolution,
            ],
            outputs=result,
            fn=process,
        )
        inputs = [
            image,
            prompt,
            cfg_scale,
            temperature,
            top_k,
            top_p,
            seed,
        ]
        prompt.submit(
            fn=randomize_seed_fn,
            inputs=[seed, randomize_seed],
            outputs=seed,
            queue=False,
            api_name=False,
        ).then(
            fn=process,
            inputs=inputs,
            outputs=result,
            api_name=False,
        )
        run_button.click(
            fn=randomize_seed_fn,
            inputs=[seed, randomize_seed],
            outputs=seed,
            queue=False,
            api_name=False,
        ).then(
            fn=process,
            inputs=inputs,
            outputs=result,
            api_name="canny",
        )
    return demo
if __name__ == "__main__":
    from model import Model
    model = Model()
    demo = create_demo(model.process_depth)
    demo.queue().launch(
    share=False,
    server_name="0.0.0.0"
    )