Instructions to use dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir CogVideoX-Fun-V1.5-5b-InP-mlx dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 379 Bytes
1478473 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"format": "split",
"components": [
"transformer",
"text_encoder",
"vae"
],
"source": "alibaba-pai/CogVideoX-Fun-V1.5-5b-InP",
"notes": {
"inpainting": "Transformer patch_embed.proj.weight has 48 input channels (16 latent + 16 masked latent + 16 mask) for inpainting support.",
"text_encoder": "T5-v1.1-XXL encoder (24 layers, d_model=4096)."
}
} |