Instructions to use dgrauet/void-model-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/void-model-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir void-model-mlx dgrauet/void-model-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "model_type": "void-transformer", | |
| "source": "netflix-void", | |
| "architecture": "CogVideoXTransformer3DModel", | |
| "passes": [ | |
| "void_pass1", | |
| "void_pass2" | |
| ], | |
| "notes": { | |
| "patch_embed": "Linear with in_dim=384 (in_channels=48 [16 latent + 16 VAE-mask + 16 VAE-video] * patch_volume=8).", | |
| "base_model": "Uses VAE and T5 from CogVideoX-Fun-V1.5-5b-InP." | |
| } | |
| } |