---
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_realplksr)  


4xBHI_realplksr_dysample_real

Scale: 4x   
Network type: RealPLKSR   
Author: Philip Hofmann   
License: CC-BY-4.0   
Purpose: 4x upscaling images, handling some blur, some noise, and compression   
Pretrained Model: 4xNomos2_realplksr_dysample   
Training iterations: 380000   
Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. This is with a created LR set where I used wtp_destroyer to add blur (50% chance), my ludvae200 model to add noise (50% chance), and then wtp to add compression, scaling, recompression (50% chance), scaling.