Project Collection

Self-Trained Upscaling Models

Overview

After I had created and worked on my interactive upscaling models comparison website, I wanted to learn how to create such models myself. These are some models that I have trained and published on discord so far:

4xLSDIRCompact (v1-3)

2xHFA2kCompact

2xParimgCompact

4xHFA2x


Github Repo with Models




Approach

I went on the Enhance Everything discord server and started reading the discussions there. I watched youtube videos that explained the whole GAN concepts more. I read github repo readmes. I found a how to and tried around installing dependencies and getting things to work on my Ubuntu system until training worked. I found the LSDIR dataset and started using that. Getting feedback and having discussions on discord I started learning more and improving my configs. Had used (learned to use) Google Colab, Kaggle and Runpod to extend local resources (especially using GPU's with more VRAM than mine). Published trained models on discord.