Instructions to use mlx-community/EfRLFN-x4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/EfRLFN-x4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir EfRLFN-x4 mlx-community/EfRLFN-x4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| efrlfn-mlx — Apple MLX port of EfRLFN. MIT License. | |
| Derived from EvgeneyBogatyrev/EfRLFN (MIT), "EfRLFN: Efficient Real-time Super-Resolution", | |
| ICLR 2026. Pretrained x2/x4 weights are the official releases, converted to MLX safetensors. | |