RDBT [Anima]
Finetuned + distilled model. Doesn't have a default style. I use it to stack style LoRAs.
See Update Log section for version info. See this page for LoRA version.
All cover images are "raw" output, 1024px, no editing/upscale etc. Metadata included.
Sharing merges using this model is not allowed. It has special trigger words. There is no false positive. Known model thieves: NukeA.I (closed-weight on tensorart)
Usage:
Settings:
CFG scale: 1~4. This model has been guidance distilled. You can disable CFG (CFG 1) and run the model 2x faster. Cover images are without CFG for demonstration.
Prompt
Specific style is required! This model does not provide a default style. You should always prompt specific style. Or use a style LoRA. Otherwise, you will get random/mixed style. This is a feature, not a bug. I use this model as a starting point to stack more style LoRA.
(v0.32+) There are some "roughly classified" trigger words, they are trained so they have effect, but they are not "specific style":
@anime sketch: Low complexity. Rough outlines.
@digital anime illustration: Typical "anime". Clear and fine outlines. General complexity.
@digital art: More complex lighting, textures than typical "anime".
@cinematic digital art: More lighting, postprocess effects, semi-realistic, etc.
Quality tags:
It's recommended to omit all the quality tags, or just keep the "masterpiece".
Quality tags have been reinforced during distillation. Thus they don't have noticeable effects. Same as negative tags. If you use cfg, there is no need to dump "score_1, blurry, worst quality, jpeg artifacts, extra arms,... x100 words" in your negative prompt. Those things have been distilled out.
Omitting those redundant tokens also allows LLM to better focus its attention on other words.
Training:
Anima pretrained base ckpt -> 10k general image finetuning -> 500 high aesthetic images finetuning -> guidance distillation.
All captions are NL from Google Gemini.
Optimizer: adamw, constant lr 0.00002.
Guidance distillation target CFG 4.
Block 0-2 and adaln linear layers are skipped. Those are much more sensitive. Usually I won't train them for better compatibility (just intuition, no experimental verification).
Update Logs
(5/18/2026): b1 v0.35:
No step distillation. Just guidance distilled.
I'm dropping step distillation. Anima official has their plan to do step distillation (aka, turbo, 4/8-step, or whatever). They have the money and recourse and full dataset. I don't. And my cheap step distillation is kind of sh*tty, tbh.
If you need higher stability or speed, you can stack the extracted cosmos dmd2 lora the anima-turbo, basically can achieve the same thing, probably even better. I prefer 0.2x cosmos dmd2 lora.
(5/12/2026): p3 v0.32.b:
Less step distillation (means higher diversity but less stability). 12 steps is still doable, 24 steps is recommended for complicated prompt.
Styles reinforcement learning. I did this in v0.29, but not in v0.32.
(5/10/2026): p3 v0.32:
No more green-ish, color shifting.
Trigger words have been reclassified to avoid model learning a unified style. See updated "Usage" section.
Old trigger words for backup (v0.29 and before):
"digital anime illustration": common 2d anime.
"digital art", 2d art but not anime, mostly digital art.
"anime sketch": simplified/unfinished anime drawing.
(4/27/2026): p3 v0.29: Distillation algorithm was almost completely rewritten.
Increased diversity. This also improved lighting range, styles and LoRA compatibility.
Better details. This version can squeeze every single pixel out of the VAE.
(4/23/2026) p3 v0.27: Improved stability, details.
(4/18/2026) p3 v0.25: It's based on anima p3.
Previous testing versions, see this page
Description
FAQ
Comments (13)
this poster claims to have made the nag work with anima using turbo and 1 cfg but with your model at least , it changes the output too much. Can you take a look at it , maybe we need specific settings for it to work with your model ? https://www.reddit.com/r/StableDiffusion/comments/1sto22j/i_implemented_nag_normalized_attention_guidance/?
I feel like the v27 model is losing its anime style
The further away from V0.24, the less anime it is and the more 3D and 2.5D pollution in data there is :(
Your the stability king for a reason. You have experience on all preview models so I trust yours the most. The official turbo Lora is decent But it isn't as detailed and doesn't follow the prompt exactly unlike yours. Also this is the official NAG that's finally got anima support However, my experience with it has been a little bit mixed:
https://github.com/BigStationW/ComfyUI-NAG-Extended/tree/main
The official Turbo LoRa has the superior style preservation. RDBT the superior compositions. And something went horribly wrong with the NAG implementation. Hope it gets fixed.
@deitychaser I noticed that with I noticed that with NAG. To be honest, I don't think it's really great on anima I think it's more designed for distilled models like Flux Klein 9b/4b and z Imege turbo not really the base model with a distilled LORA.
@AnimaXx Maybe, not sure. It works better on non-distilled Chroma as a negative conditioning guidance than CFG though, in my experience. Simply because you can go up the NAG guidance to 6.0 or something which you can't do with CFG without frying your image, thus in my tests with NAG i could get more control.
Hi boss, is there any possibility that lora version will be released again? Being able to control the strength of lora/distilled model at any time is really useful.
For example, I also use the lore for distillation and it seems to be better, because the built-in lore in the model, it seems to me, has less power overall.
Probably, the reason I decided to release a ckpt because I think mixing distilled models is not a good idea. Distilled lora is not style lora. Distilled lora changes how model works.
@reakaakasky there seems to be many people thinking that RDBT makes @artist less effective, and actually it seems that you don't cite the artists in your work, and that's how your distill different from the official version, what do you think about this issue?
@reakaakasky so putting a distilled lora in a non-distilled base model or vice-versa, either is a bad idea?
@m4rbleye mixing different distilled models, e.g. 0.5 rdbt + 0.5 turbo
@jimzlf if I have 100x compute, I might consider taking care all 20k+ @ tags, but I don't.