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RDBT | Anima

Updated: May 19, 2026

base model

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fp16 SafeTensor

Half precision, best balance • 3.89 GB

Verified:

Type

Checkpoint Trained

Stats

785

Reviews

Published

Apr 23, 2026

Base Model

Anima

Hash

AutoV2
D4572DDE1A

License:

Anima

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

RDBT [Anima]

Personal finetuned + distilled model.

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.

Known model thieves:

  • NukeA.I. (tensorart, closed-weight)


Usage:

Settings (different from anima base model):

CFG scale: 1~4. This model has been guidance distilled. You can disable CFG (CFG 1) to run the model 2x faster. Cover images are without CFG.

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.


Update Logs

(tbd: 5/18/2026): b1 v0.34:

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 model). They have the money and recourse and full dataset. I don't.

If you need higher stability or speed, you can stack the extracted cosmos lora or the anima-turbo, basically can achieve the same thing, probably even better.

(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