| import shlex | |
| import subprocess | |
| subprocess.run( | |
| shlex.split( | |
| "pip install package/onnxruntime_gpu-1.17.0-cp310-cp310-manylinux_2_28_x86_64.whl --force-reinstall --no-deps" | |
| ) | |
| ) | |
| subprocess.run( | |
| shlex.split( | |
| "pip install package/nvdiffrast-0.3.1.torch-cp310-cp310-linux_x86_64.whl --force-reinstall --no-deps" | |
| ) | |
| ) | |
| 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. | |
| # NOTE: The Hugging Face demo is still under development and cannot produce any accurate results at the moment. | |
| ''' | |
| 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) | |