The new version was trained against a photorealistic dataset, then this trained version was subtracted against v2 using block merging to effectively invert the training - amplifying the cartoony parts and de-emphasizing the photoreal parts. The result is better performance at lower CFG scales, and a style that corrects the slight over-correction towards realistic in the previous version. The results are much more like what I had originally intended v2 to be - cleaner lines than v1, better colors at lower CFG scales (CFG of 6 will work quite well now if you don't have the dynamic threshold scaling plugin), and a more consistently hand-drawn look.
