Update README.md

README.md

@@ -1,3 +1,42 @@
----
-license: cc-by-4.0
----
+---
+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/2xNomosUni_esrgan_multijpg)  
+
+# 2xNomosUni_esrgan_multijpg
+
+Name: 2xNomosUni_esrgan_multijpg  
+Author: Philip Hofmann  
+Release Date: 20.12.2023  
+License: CC BY 4.0  
+Network: ESRGAN (RRDBNet)  
+Scale: 2  
+Purpose: 2x universal upscaler  
+Iterations: 110'000  
+epoch: 64  
+batch_size: 4  
+HR_size: 512  
+Dataset: nomosuni  
+Number of train images: 2989  
+OTF Training: No  
+Pretrained_Model_G: RealESRGAN_x2plus  
+
+Description:  
+2x esrgan universal upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos).  
+
+Try it out in [this huggingface space](https://huggingface.co/spaces/Phips/upscale) I made (since the spaces uses cpu, testing locally on your gpu would be faster)  
+
+Slow Pics crops examples:
+[ani](https://slow.pics/c/LLP9p89w)
+[face](https://slow.pics/c/4IsxVMAB)
+[dof_wheat](https://slow.pics/c/zj4q6Mvi)
+![2xNomosUni_esrgan_multijpg](https://github.com/Phhofm/models/assets/14755670/9d1899b9-4ade-4244-9e0b-f4b9bf005926)
+![2xNomosUni_esrgan_multijpg](https://github.com/Phhofm/models/assets/14755670/825edb19-d70b-4c17-a2b4-55e90574a47a)
+![2xNomosUni_esrgan_multijpg](https://github.com/Phhofm/models/assets/14755670/668bed08-c209-4ee1-9ad5-ed27aa1933dc)
+
+