app.py

import spaces
import gradio as gr
from glob import glob


@spaces.GPU(duration=60)
def gen_shape():
    print("do nothing")
    
def get_example_img_list():
    print('Loading example img list ...')
    return sorted(glob('./assets/example_images/**/*.png', recursive=True))
example_imgs = get_example_img_list()

HTML_OUTPUT_PLACEHOLDER = f"""
<div style='height: {650}px; width: 100%; border-radius: 8px; border-color: #e5e7eb; border-style: solid; border-width: 1px; display: flex; justify-content: center; align-items: center;'>
    <div style='text-align: center; font-size: 16px; color: #6b7280;'>
    <p style="color: #8d8d8d;">Welcome to Hunyuan3D!</p>
    <p style="color: #8d8d8d;">No mesh here.</p>
    </div>
</div>
"""
MAX_SEED = 1e7

title = "## Image to 3D"
description = "A lightweight image to 3D converter"

with gr.Blocks().queue() as demo:
    gr.Markdown(title)
    gr.Markdown(description)
    with gr.Row():
        with gr.Column(scale=3):
            gr.Markdown("#### Image Prompt")
            image = gr.Image(sources=["upload"], label='Image', type='pil', image_mode='RGBA', height=290)
            gen_button = gr.Button(value='Generate Shape', variant='primary')
            with gr.Accordion("Advanced Options", open=False):
                seed = gr.Slider(
                    label="Seed",
                    minimum=0,
                    maximum=MAX_SEED,
                    step=1,
                    value=1234,
                    min_width=100,
                )
                with gr.Column():
                    num_steps = gr.Slider(maximum=100, minimum=1, value=5, step=1, label='Inference Steps')
                    octree_resolution = gr.Slider(maximum=512, minimum=16, value=256, label='Octree Resolution')
                with gr.Column():
                    cfg_scale = gr.Slider(maximum=20.0, minimum=1.0, value=5.5, step=0.1, label='Guidance Scale')
                    num_chunks = gr.Slider(maximum=5000000, minimum=1000, value=8000, label='Number of Chunks')
                target_face_num = gr.Slider(maximum=1000000, minimum=100, value=10000, label='Target Face Number')

        with gr.Column(scale=6):
            gr.Markdown("#### Generated Mesh")
            html_export_mesh = gr.HTML(HTML_OUTPUT_PLACEHOLDER, label='Output')
                
        with gr.Column(scale=3):
            gr.Markdown("#### Image Examples")
            gr.Examples(examples=example_imgs, inputs=[image],
                        label=None, examples_per_page=18)


demo.launch()