Update README.md

README.md

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-license: cc-by-4.0
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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)
+
+![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)  
+