---
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_esrgan_multijpg)  

# 2xNomosUni_esrgan_multijpg

Name: 2xNomosUni_esrgan_multijpg  
Author: Philip Hofmann  
Release Date: 20.12.2023  
License: CC BY 4.0  
Network: ESRGAN (RRDBNet)  
Scale: 2  
Purpose: 2x universal upscaler  
Iterations: 110'000  
epoch: 64  
batch_size: 4  
HR_size: 512  
Dataset: nomosuni  
Number of train images: 2989  
OTF Training: No  
Pretrained_Model_G: RealESRGAN_x2plus  

Description:  
2x esrgan universal upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos).  

Try it out in [this huggingface space](https://huggingface.co/spaces/Phips/upscale) I made (since the spaces uses cpu, testing locally on your gpu would be faster)  

Slow Pics crops examples:
[ani](https://slow.pics/c/LLP9p89w)
[face](https://slow.pics/c/4IsxVMAB)
[dof_wheat](https://slow.pics/c/zj4q6Mvi)
![2xNomosUni_esrgan_multijpg](https://github.com/Phhofm/models/assets/14755670/9d1899b9-4ade-4244-9e0b-f4b9bf005926)
![2xNomosUni_esrgan_multijpg](https://github.com/Phhofm/models/assets/14755670/825edb19-d70b-4c17-a2b4-55e90574a47a)
![2xNomosUni_esrgan_multijpg](https://github.com/Phhofm/models/assets/14755670/668bed08-c209-4ee1-9ad5-ed27aa1933dc)