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
| _target_: sam3d_objects.model.backbone.tdfy_dit.models.structured_latent_vae.decoder_mesh.SLatMeshDecoderTdfyWrapper | |
| resolution: 64 | |
| model_channels: 768 | |
| latent_channels: 8 | |
| num_blocks: 12 | |
| num_heads: 12 | |
| mlp_ratio: 4 | |
| attn_mode: swin | |
| window_size: 8 | |
| representation_config: | |
| use_color: true | |
| use_fp16: true | |