This is the V1 release of my Anima-based style fine-tune. The 0.1 version was a small internal style-training experiment and was not initially planned for release. V1 focuses on better use of the style training set with staying closer to the original Anima tagging logic. Unlike a style LoRA merge, this is a model natively trained with a style, so tags such as traditional media, watercolor, or specific artist/style tags should still work normally. The style will vary, especially when generating characters. It is trained to “uplift” the generations, more or less noticeable through details such as the characteristic hair shine. If a result differs strongly in style, it is usually also a strong style outlier in Anima Base on that same seed. For this version, I tested character training with NTE characters and Femme Soule from pukey goddess shot trick. Some NTE characters had a low image amount to train on, so those characters will not work. The training was done using a mix of tags, long natural-language captions and short natural-language captions. The ratio is around 3/5 normal booru tags to 2/5 natural-language captions. The main test was to see how to train completely unrelated franchises into one model and get both working together in a single natural-language image. Character forgetting is a problem in Anima. My training makes that decay extremely slow, but it is still there. Extremely weak, but still there. V1 Notes Compared to V0.1, this version should be more stable in backgrounds, with a more consistent use of the trained in style. Disclaimer This model is still experimental, but I am more confident that V1 produces more cohesive backgrounds with better-looking natural-language generation compared to V0.1.