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Running
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Running
on
Zero
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ยท
75cf114
1
Parent(s):
e6dc4b9
Fix model name
Browse files
README.md
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@@ -46,7 +46,7 @@ Convert 2D images into high-quality 3D models using [TRELLIS](https://trellis3d.
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## ๐ง Technical Details
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- **Model**: [microsoft/TRELLIS](https://huggingface.co/microsoft/TRELLIS)
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- **Hardware**: ZeroGPU (T4) - GPU resources are allocated on-demand
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- **Processing Time**: Typically 2-5 minutes depending on image complexity and GPU availability
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@@ -54,7 +54,7 @@ Convert 2D images into high-quality 3D models using [TRELLIS](https://trellis3d.
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- [TRELLIS Project Page](https://trellis3d.github.io/)
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- [Paper](https://huggingface.co/papers/2412.01506)
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- [Model Card](https://huggingface.co/microsoft/TRELLIS)
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## ๐ Output Formats
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## ๐ง Technical Details
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- **Model**: [microsoft/TRELLIS-image-large](https://huggingface.co/microsoft/TRELLIS-image-large)
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- **Hardware**: ZeroGPU (T4) - GPU resources are allocated on-demand
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- **Processing Time**: Typically 2-5 minutes depending on image complexity and GPU availability
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- [TRELLIS Project Page](https://trellis3d.github.io/)
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- [Paper](https://huggingface.co/papers/2412.01506)
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- [Model Card](https://huggingface.co/microsoft/TRELLIS-image-large)
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## ๐ Output Formats
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app.py
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@@ -416,7 +416,7 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
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# Launch the Gradio app
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if __name__ == "__main__":
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pipeline = TrellisImageTo3DPipeline.from_pretrained("microsoft/TRELLIS")
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pipeline.cuda()
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try:
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pipeline.preprocess_image(Image.fromarray(np.zeros((512, 512, 3), dtype=np.uint8))) # Preload rembg
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# Launch the Gradio app
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if __name__ == "__main__":
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pipeline = TrellisImageTo3DPipeline.from_pretrained("microsoft/TRELLIS-image-large")
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pipeline.cuda()
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try:
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pipeline.preprocess_image(Image.fromarray(np.zeros((512, 512, 3), dtype=np.uint8))) # Preload rembg
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