Instructions to use kingfang008/bonframe-lightvae-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kingfang008/bonframe-lightvae-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download kingfang008/bonframe-lightvae-mlx --local-dir bonframe-lightvae-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Bonframe LightVAE MLX BF16 decoders
BF16 MLX-layout decoder exports derived from lightx2v/LightVAE, upstream revision 4925ea978147b9de492d7a5fd4f9c6d1854ca1cc.
These are decoder-only weights for the Wan2.2 latent space. They require the corresponding Bonframe MLX LightVAE runtime; a standard Wan decoder cannot load these temporal low-rank factors directly. They are not a complete video generation or lip-sync model.
| Directory | Weight bytes | Weight SHA-256 |
|---|---|---|
| lite | 304896412 | 5704b1bd835d143a9fc4b74dd322960bcdd61d349cc6ac440083fda0b9309598 |
| pro | 692371324 | 3bc7cf947363f18237c3fc2d9fe1a7083965c5bbe4e5dea779e1a10fb9c5a466 |
Temporal factors are folded on CPU in FP32 using the upstream implementation, then stored in BF16 with MLX convolution layouts. No additional integer quantization is applied. Config files describe the fixed architecture and source hashes. Reference NPZ files contain deterministic single- and multi-window Torch outputs for numerical validation.
Upstream source and licensing notices remain applicable. See UPSTREAM_NOTICE.txt and the upstream project for terms. This repository does not grant rights beyond those of the original assets.
Quantized