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---
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---
[Link to Github Release](https://github.com/Phhofm/models/releases/tag/2xNomosUni_compact_otf_medium)
# 2xNomosUni_compact_otf_medium
Name: 2xNomosUni_compact_otf_medium
Author: Philip Hofmann
Release Date: 11.01.2024
License: CC BY 4.0
Network: SRVGGNetCompact
Scale: 2
Purpose: 2x fast universal upscaler with medium degradation handling (jpg compression, noise, blur)
Iterations: 276'000
epoch: 218
batch_size: 12
HR_size: 128
Dataset: nomosuni
Number of train images: 2989
OTF Training: Yes
Pretrained_Model_G: 2xNomosUni_compact_otf_strong
Description:
2x compact fast universal upscaler with medium degradation handling using the Real-ESRGAN training pipeline, based off 2xNomosUni_compact_otf_strong. Handles jpg compression, some noise, and some blur (so dejpgs, denoises and deblurs).
Examples:
[RealPhoto](https://imgsli.com/MjMyNTUy)
[Noisy](https://imgsli.com/MjMyNTUz)
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