RDBT [Anima]

Finetuned circlestone-labs/Anima .

Dataset: ~60k images. Handpicked. High aesthetic only. Zero AI slop. All captions are natural language from Gemini. Includes sub-datasets for common enhancements such as eyes, faces, hands, clothes, lightings, backgrounds, etc.

Trained as a LoRA for better training and distribution efficiency. Then cfg/dmd2 distilled for better stability and quality.

No overfitted default style. Still creative, but more stable and aesthetic.

Prompt

Prefer natural language prompt. Prompt structure: style, subject, action, background.

You can omit all the quality tags. The quality of training data is higher than so-called "masterpiece". Quality tags don't have noticeable effects.

There are two "rough" trigger words:

• "digital anime illustration": 2d anime.

• "digital art", 2d art but not anime, mostly digital art. (not many samples)

Recommended settings:

• "er_sde", "euler" or "euler_a" sampler.

• dmd2 distilled: 8~16 steps. cfg distilled: 20~30 steps.

• cfg scale 1~3. Prefer cfg 1 (disable cfg, smooth sampling process, 2x faster). Enable cfg (cfg >1) if you need higher prompt adherence (e.g. style is too weak). High cfg is not necessary. Cover images are all using cfg 1