Instructions to use Wan-AI/Wan2.2-TI2V-5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use Wan-AI/Wan2.2-TI2V-5B with Wan2.2:
# 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
- Inference
- Notebooks
- Google Colab
- Kaggle
Download config.json from Wan-AI/Wan2.2-TI2V-5B: direct link, hf CLI and curl.
- Browser
- Download file 251 Bytes
-
https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B/resolve/main/config.json
- Command line
-
hf download hf://Wan-AI/Wan2.2-TI2V-5B/config.json
-
curl -L -o config.json https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B/resolve/main/config.json
251 Bytes
| { | |
| "_class_name": "WanModel", | |
| "_diffusers_version": "0.33.0", | |
| "dim": 3072, | |
| "eps": 1e-06, | |
| "ffn_dim": 14336, | |
| "freq_dim": 256, | |
| "in_dim": 48, | |
| "model_type": "ti2v", | |
| "num_heads": 24, | |
| "num_layers": 30, | |
| "out_dim": 48, | |
| "text_len": 512 | |
| } | |