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appautomaton
/
sam-3d-objects-mlx

Image-to-3D
MLX
Safetensors
SAM 3D Objects
apple-silicon
sam-3d
3d-reconstruction
gaussian-splatting
mesh
glb
Model card Files Files and versions
xet
Community

Instructions to use appautomaton/sam-3d-objects-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use appautomaton/sam-3d-objects-mlx with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir sam-3d-objects-mlx appautomaton/sam-3d-objects-mlx
  • SAM 3D Objects

    How to use appautomaton/sam-3d-objects-mlx with SAM 3D Objects:

    from inference import Inference, load_image, load_single_mask
    from huggingface_hub import hf_hub_download
    
    path = hf_hub_download("appautomaton/sam-3d-objects-mlx", "pipeline.yaml")
    inference = Inference(path, compile=False)
    
    image = load_image("path_to_image.png")
    mask = load_single_mask("path_to_mask.png", index=14)
    
    output = inference(image, mask)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
sam-3d-objects-mlx / checkpoints
12.9 GB
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  • 1 contributor
History: 2 commits
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tamarher
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  • conversion_metadata
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  • pipeline.yaml
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  • slat_decoder_gs.safetensors
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  • slat_decoder_gs.yaml
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  • slat_decoder_gs_4.safetensors
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  • slat_decoder_gs_4.yaml
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  • slat_decoder_mesh.safetensors
    364 MB
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  • slat_decoder_mesh.yaml
    300 Bytes
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  • slat_generator.safetensors
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  • slat_generator.yaml
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  • ss_decoder.safetensors
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  • ss_decoder.yaml
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  • ss_generator.safetensors
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  • ss_generator.yaml
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