If you do this with image upscaling models, previously invisible artifacts like ringing, noise patterns and such get "amplified." And thats after I culled the i

If you do this with image upscaling models, previously invisible artifacts like ringing, noise patterns and such get "amplified." And thats after I culled the input dataset by hand In other words, artifacts the model tends to generate or humans tend to miss will become more severe if fed into the input. I think that is a significant concern, especially if the "GPT jank" patterns between models is similar.