Image-to-3D
MLX
Safetensors
Trellis
English
apple-silicon
gaussian-splatting
quantized
8-bit precision
Instructions to use ucalyptus/trellis-image-large-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ucalyptus/trellis-image-large-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download ucalyptus/trellis-image-large-mlx --local-dir trellis-image-large-mlx
- Trellis
How to use ucalyptus/trellis-image-large-mlx with Trellis:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download sparse_structure_decoder/config.json from ucalyptus/trellis-image-large-mlx: direct link, hf CLI and curl.
- Browser
- Download file 246 Bytes
-
https://huggingface.co/ucalyptus/trellis-image-large-mlx/resolve/main/sparse_structure_decoder/config.json
- Command line
-
hf download hf://ucalyptus/trellis-image-large-mlx/sparse_structure_decoder/config.json
-
curl -L -o config.json https://huggingface.co/ucalyptus/trellis-image-large-mlx/resolve/main/sparse_structure_decoder/config.json
246 Bytes
| { | |
| "_class_name": "TrellisSparseStructureDecoderConfig", | |
| "channels": [ | |
| 512, | |
| 128, | |
| 32 | |
| ], | |
| "latent_channels": 8, | |
| "norm_type": "layer", | |
| "num_res_blocks": 2, | |
| "num_res_blocks_middle": 2, | |
| "out_channels": 1, | |
| "use_fp16": true | |
| } |