Instructions to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir wan2.2-t2v-a14b-diffusers-bf16 AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16
- Wan2.2
How to use AbstractFramework/wan2.2-t2v-a14b-diffusers-bf16 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
- Local Apps Settings
- LM Studio
| { | |
| "_class_name": "WanPipeline", | |
| "_diffusers_version": "0.35.0.dev0", | |
| "boundary_ratio": 0.875, | |
| "scheduler": [ | |
| "diffusers", | |
| "UniPCMultistepScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "UMT5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "WanTransformer3DModel" | |
| ], | |
| "transformer_2": [ | |
| "diffusers", | |
| "WanTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ] | |
| } | |