Instructions to use alibaba-pai/Wan2.1-Fun-14B-InP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VideoX Fun
How to use alibaba-pai/Wan2.1-Fun-14B-InP with VideoX Fun:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "WanModel", | |
| "_diffusers_version": "0.31.0", | |
| "cross_attn_norm": true, | |
| "dim": 5120, | |
| "eps": 1e-06, | |
| "ffn_dim": 13824, | |
| "freq_dim": 256, | |
| "hidden_size": 2048, | |
| "in_channels": 36, | |
| "in_dim": 36, | |
| "model_type": "i2v", | |
| "num_heads": 40, | |
| "num_layers": 40, | |
| "out_dim": 16, | |
| "patch_size": [ | |
| 1, | |
| 2, | |
| 2 | |
| ], | |
| "qk_norm": true, | |
| "text_dim": 4096, | |
| "text_len": 512, | |
| "window_size": [ | |
| -1, | |
| -1 | |
| ] | |
| } | |