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/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.