Image-to-3D
MLX
Safetensors
SAM 3D Objects
apple-silicon
sam-3d
3d-reconstruction
gaussian-splatting
mesh
glb
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 Settings
- LM Studio
| format_version: 1 | |
| source_file: weights/sam-3d-objects/checkpoints/slat_decoder_gs_4.ckpt | |
| source_sha256: 731a0eceaa47945b52aa27f650d695b2aea9cc70945751e5609e5cb5b49f0186 | |
| safetensors_file: slat_decoder_gs_4.safetensors | |
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