Image-to-3D
MLX
Safetensors
SAM 3D Objects
apple-silicon
sam-3d
3d-reconstruction
gaussian-splatting
mesh
glb
8-bit precision
affine-quantization
mixed-precision
Instructions to use appautomaton/sam-3d-objects-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/sam-3d-objects-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sam-3d-objects-mlx-8bit appautomaton/sam-3d-objects-mlx-8bit
- SAM 3D Objects
How to use appautomaton/sam-3d-objects-mlx-8bit 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-8bit", "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
| source_sha256: 6dac1cd7b7fda5a38e0614fadae441f1794f80e39ea2981f1ac8aff0a7e99340 | |
| converter: mlx-spatial-restricted-torch-zip | |
| tensor_count: 74 | |