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LibreRealESRGANx4t-restore
LibreYOLO/LibreRealESRGANx4t-restore
LibreRealESRGANx4t-restore is a image-to-image model from LibreYOLO. Use it when you need one image transformed into another. It is set up for libreyolo. The card lists the license as bsd-3-clause.
SRVGGNetCompact Real-ESRGAN super-resolution (4x upscaling), repackaged for LibreYOLO.
Access
Public
Updated Jul 8, 2026
Repo size
4.9 MB
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Repo makeup
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.pt4.9 MB · 100%
At a glance
- Task
- Image-to-Image
- Library
- libreyolo
- License
- bsd-3-clause
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- d1f950e8
Model card
From the Hugging Face model README
LibreRealESRGANx4t-restore
SRVGGNetCompact Real-ESRGAN super-resolution (4x upscaling), repackaged for LibreYOLO.
Source
Weights derived from xinntao/Real-ESRGAN
release realesr-general-x4v3.pth.
Copyright (c) 2021 Xintao Wang. Licensed under the BSD 3-Clause License.
The SRVGGNetCompact architecture lineage is XPixelGroup/BasicSR (Apache-2.0, Copyright 2018-2022 BasicSR Authors).
Modifications
State-dict metadata-wrap only: keys and learned parameters are unchanged; the
checkpoint is wrapped in the LibreYOLO v1.0 schema (task=restore, scale=4).
Tensor-level parity vs the official model is exact (max_abs_diff == 0, fp32).
See weights/convert_realesrgan_weights.py in the
LibreYOLO source repository.
Usage
from libreyolo import LibreYOLO
model = LibreYOLO("LibreRealESRGANx4t-restore.pt")
res = model.predict("small.jpg") # res[0].restored is 4x the input
res[0].save("upscaled.png")
# large images: model.predict("big.jpg", tile=512) # seam-free tiling
License
BSD 3-Clause (weights) with Apache-2.0 architecture lineage. See the
LICENSE and NOTICE files in this repository.
- Task
- Image-to-Image
- Library
- libreyolo
- License
- bsd-3-clause
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026