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
| { | |
| "_class_name": "AutoencoderKLCogVideoX", | |
| "_diffusers_version": "0.31.0.dev0", | |
| "act_fn": "silu", | |
| "block_out_channels": [ | |
| 128, | |
| 256, | |
| 256, | |
| 512 | |
| ], | |
| "down_block_types": [ | |
| "CogVideoXDownBlock3D", | |
| "CogVideoXDownBlock3D", | |
| "CogVideoXDownBlock3D", | |
| "CogVideoXDownBlock3D" | |
| ], | |
| "force_upcast": true, | |
| "in_channels": 3, | |
| "latent_channels": 16, | |
| "latents_mean": null, | |
| "latents_std": null, | |
| "layers_per_block": 3, | |
| "norm_eps": 1e-06, | |
| "norm_num_groups": 32, | |
| "out_channels": 3, | |
| "sample_height": 480, | |
| "sample_width": 720, | |
| "scaling_factor": 0.7, | |
| "shift_factor": null, | |
| "temporal_compression_ratio": 4, | |
| "up_block_types": [ | |
| "CogVideoXUpBlock3D", | |
| "CogVideoXUpBlock3D", | |
| "CogVideoXUpBlock3D", | |
| "CogVideoXUpBlock3D" | |
| ], | |
| "use_post_quant_conv": false, | |
| "use_quant_conv": false | |
| } | |