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
File size: 244 Bytes
5681602 | 1 2 3 4 5 6 7 8 9 10 11 | _target_: sam3d_objects.model.backbone.tdfy_dit.models.sparse_structure_vae.SparseStructureDecoderTdfyWrapper
out_channels: 1
latent_channels: 8
num_res_blocks: 2
num_res_blocks_middle: 2
channels:
- 512
- 128
- 32
reshape_input_to_cube: false
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