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
File size: 376 Bytes
1bfe381 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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."
}
} |