Instructions to use fukujusou/Anima-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use fukujusou/Anima-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Anima-mlx fukujusou/Anima-mlx
- Diffusion Single File
How to use fukujusou/Anima-mlx with Diffusion Single File:
# 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
| """MLX model components for the Anima conversion.""" | |
| from .llm_adapter import LLMAdapter | |
| from .pipeline import AnimaTinyPipeline, DecodeOnlyPipeline, TextConditioningPipeline | |
| from .text_encoder import Qwen3TextEncoder | |
| from .vae import WanVAEDecoder | |
| __all__ = [ | |
| "AnimaTinyPipeline", | |
| "DecodeOnlyPipeline", | |
| "LLMAdapter", | |
| "Qwen3TextEncoder", | |
| "TextConditioningPipeline", | |
| "WanVAEDecoder", | |
| ] | |