Instructions to use geceff/Wan2.2-Custom-Models-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use geceff/Wan2.2-Custom-Models-GGUF 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
- Notebooks
- Google Colab
- Kaggle
Download model_index.json. from geceff/Wan2.2-Custom-Models-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 600 Bytes
-
https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/model_index.json.
- Command line
-
hf download hf://geceff/Wan2.2-Custom-Models-GGUF/model_index.json.
-
curl -L -o model_index.json. https://huggingface.co/geceff/Wan2.2-Custom-Models-GGUF/resolve/main/model_index.json.
600 Bytes
| { | |
| "_class_name": "WanImageToVideoPipeline", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "boundary_ratio": 0.9, | |
| "image_encoder": [ | |
| null, | |
| null | |
| ], | |
| "image_processor": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "UniPCMultistepScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "UMT5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "WanTransformer3DModel" | |
| ], | |
| "transformer_2": [ | |
| "diffusers", | |
| "WanTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ] | |
| } | |