How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir EfRLFN-x4 mlx-community/EfRLFN-x4

EfRLFN x4 (MLX)

Apple MLX port of EfRLFN (ICLR 2026), x4 super-resolution. PT-vs-MLX parity ~1e-6. Realtime on Apple Silicon (270x480 -> 1080x1920 ~0.06s for x4).

from efrlfn_mlx import EfRLFNConfig
from efrlfn_mlx.pipeline import load_model, upscale_to_file
m = load_model("model.safetensors", EfRLFNConfig.x4())
upscale_to_file(m, "lr.png", "sr.png")

MIT, derived from EvgeneyBogatyrev/EfRLFN.

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Safetensors
Model size
504k params
Tensor type
F32
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MLX
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