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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/4xNomosUniDAT_otf)
# 4xNomosUniDAT_otf
Name: 4xNomosUniDAT_otf
Author: Philip Hofmann
Release: 23.09.2023
License: CC BY 4.0
Network: DAT
Scale: 4
Purpose: 4x multipurpose upscaler otf version (resize, jpg, noise, blur)
Iterations: 150000
epoch: 70
batch_size: 8
HR_size: 128
Dataset: nomosuni
Number of train images: 2989
OTF Training: Yes
Pretrained_Model_G: DAT_x4.pth
Description:
4x multipurpose dat upscaler that handles resize, jpg compression, noise and blur. Trained on DAT with Adan, U-Net SN, huber pixel loss, huber perceptual loss, vanilla gan loss and huber color loss, on paired nomos_uni (universal dataset containing photographs, anime, text, maps, music sheets, paintings ..).
Some Imgsli examples:
[Real degraded photo](https://imgsli.com/MjA4NjMw)
[JPG Compression](https://imgsli.com/MjA4NjI2)
[Noisy Photo](https://imgsli.com/MjA4NjI4)
[Manga](https://imgsli.com/MjA4NjMx)
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