| if __name__ == "__main__": |
| import os |
| import sys |
| sys.path.append(os.curdir) |
| import torch |
| torch.set_float32_matmul_precision('medium') |
| torch.backends.cuda.matmul.allow_tf32 = True |
| torch.set_grad_enabled(False) |
|
|
| import fire |
| import gradio as gr |
| from gradio_app.gradio_3dgen import create_ui as create_3d_ui |
| from gradio_app.all_models import model_zoo |
|
|
|
|
| _TITLE = '''Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image''' |
| _DESCRIPTION = ''' |
| |
| #[Project page](https://wukailu.github.io/Unique3D/) |
| |
| * High-fidelity and diverse textured meshes generated by Unique3D from single-view images. |
| |
| * The demo is still under construction, and more features are expected to be implemented soon. |
| ''' |
|
|
| def launch(): |
| model_zoo.init_models() |
| |
| with gr.Blocks( |
| title=_TITLE, |
| theme=gr.themes.Monochrome(), |
| ) as demo: |
| with gr.Row(): |
| with gr.Column(scale=1): |
| gr.Markdown('# ' + _TITLE) |
| gr.Markdown(_DESCRIPTION) |
| create_3d_ui("wkl") |
|
|
| demo.queue().launch(share=True) |
| |
| if __name__ == '__main__': |
| fire.Fire(launch) |
|
|