Text-to-Image
Diffusers
Safetensors
MLX
mlx-gen
apple-silicon
diffusion
stable-diffusion-xl
sdxl
sdxl-lightning
Instructions to use SceneWorks/realvisxl-lightning-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use SceneWorks/realvisxl-lightning-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir realvisxl-lightning-mlx SceneWorks/realvisxl-lightning-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 919abe26a9570bd5d3c4ee29a2cfedd0d24d7e4f830337423ec63913a5b62d8f
- Size of remote file:
- 167 MB
- SHA256:
- 6353737672c94b96174cb590f711eac6edf2fcce5b6e91aa9d73c5adc589ee48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.