---
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/4xBHI_dat2_multiblurjpg)  


# 4xBHI_dat2_multiblurjpg

Scale: 4x   
Network type: DAT2   
Author: Philip Hofmann   
License: CC-BY-4.0   
Purpose: 4x upscaling images, handles jpg compression   
Pretrained Model: 4xNomos2_hq_dat2   
Training iterations: 320000   
Description: 4x dat2 upscaling model, trained with down_up,linear, cubic_mitchell, lanczos, gauss and box scaling algos, some average, gaussian and anisotropic blurs and jpg compression. Trained on my BHI sisr dataset.

You can also try out the 4xBHI_dat2_multiblur checkpoint below (trained to 250000 iters), which cannot handle compression but might give just slightly better output on non-degraded input.

![Example1](https://github.com/user-attachments/assets/2bcb7a7e-85a2-4758-a0e3-b4a1a5432d13)
![Example2](https://github.com/user-attachments/assets/10b79e29-b212-4316-9792-478dc7cdcc39)