Instructions to use dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx-q4 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-q4 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-q4 dgrauet/CogVideoX-Fun-V1.5-5b-InP-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
| { | |
| "format": "split", | |
| "components": [ | |
| "transformer", | |
| "text_encoder", | |
| "vae" | |
| ], | |
| "source": "alibaba-pai/CogVideoX-Fun-V1.5-5b-InP", | |
| "notes": { | |
| "inpainting": "Transformer patch_embed.proj is a Linear with in_dim=264 (in_channels=33 [16 latent + 16 masked + 1 mask] * patch_volume=8).", | |
| "text_encoder": "T5-v1.1-XXL encoder (24 layers, d_model=4096)." | |
| }, | |
| "quantized": true, | |
| "quantization_bits": 4 | |
| } |