---
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/4xNomosUniDAT2_box)  

# 4xNomosUniDAT2_box  

Name: 4xNomosUniDAT2_box  
Author: Philip Hofmann  
Release Date: 10.09.2023  
License: CC BY 4.0  
Network: DAT  
Scale: 4  
Purpose: 4x general purpose upscaler for non-degraded content  
Iterations: 110000  
epoch: 7  
batch_size: 4  
HR_size: 128  
Dataset: nomos_uni  
Number of train images: 2989  
OTF Training: No  
Pretrained_Model_G: DAT_2_x4  

Description: 4x general purpose upscaler for non-degraded content. Has been trained as paired dataset on box downsamples as a DAT2 model, AdamW with pixel, perceptual, gan, color, ldl and ff loss. (am currently training a version of this that could handle jpg compression with multiple downsample algorithms and down_up)

![4xNomosUniDAT2_box](https://github.com/Phhofm/models/assets/14755670/46e2d991-c84b-49b9-bd02-c85c7e97b274)  
![4xNomosUniDAT2_box](https://github.com/Phhofm/models/assets/14755670/889f056c-2329-400e-8dfb-1df2b56e54da)