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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/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)
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