Instructions to use SceneWorks/realvisxl-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/realvisxl-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir realvisxl-mlx SceneWorks/realvisxl-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 1f5be3b775ff3bff8ea9aff9276fa58ca12b5527c2c285ebc62a94dbc8c0aa2e
- Size of remote file:
- 335 MB
- SHA256:
- 78f6189c8492013e3cac81637a1f657f790a237387f8a9dfd6bfa5fee28eb646
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.