RDBT [Anima]

Finetuned circlestone-labs/Anima. Experimental, but works.

CFG distilled to further improve quality and stability.

Dataset:

Focuses on basic drawing skills. Contains common enhancement such as hands, clothes, lightings backgrounds, etc.

No glossy AI slops in dataset. Glossy Al images are polluting the world, but not on my watch.

Natural language captions from Gemini.

Usage:

This model is trained as LoRa, for better training and distribution efficiency. You need to load the LoRA with strength 1 on "it's base model" (the base model that trained the LoRA). If you don't know what this means, or which one is the correct "base model", you can download and use this base model, which has merged this LoRA: https://civitai.com/models/2356447.

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

Omit all the quality tags. You don't need those tags. The average output quality of this model should be higher than so-called "masterpiece".

Recommended settings:

• "Euler a" sampler.

• 20~30 steps.

• cfg scale 1~3. Note: cfg 1 = disable negative prompt = 2x faster. Cover images are using cfg 1.

• "Adjust Contrast" node to boost contrast. (If cfg 1)

If you want to use other "finetuned base model":

Use "trained" base model: If a base model is trained by the creator, They definitely will tell you in the model page, like what's its base model, dataset, training settings, etc. Just make sure this "trained base model" share the same "base model" with this LoRA. "Trained" base model is very stable, because it's very close to its "base model".

Do not use "merged" base model. If you can't find any info about "training" in the model page. You can assume the base model is not trained by the creator, so it should be a "merge". You would never know what's inside a "merged" model. "Merged" base model usually is unstable, it might be very far away from its labeled "base model", if it merged too many LoRAs. Any problems that happened with "merged base model" are unrelated to this LoRA. They are problems of the base model itself.

Restrictions:

Sharing merges using this model is not allowed. This is a distilled model, it shouldn't been merged. If you think this LoRA is useful, please share the link or the LoRA file.

FAQ

Why v0.12+ has low contrast?

The base model of Anima, aka the Nvidia Cosmos Predict2, is a model for industrial robotics. It's not a model for aesthetic.

Why CFG distilled?

TLDR: Because distillation can improve quality.

For example, this is what a 30 steps sampling process looks like. You can find more examples and workflow in cover images.

• Up: RDBT v0.12 cfg 1.

• Bottom: anima preview cfg 4.

Update log

f = finetuned, d = cfg distilled, preview = base model is anima preview

Recommended:

(3/14/2026) preview v0.19fd b:

Updated dataset. Some private datasets have been dropped. You might notice the style changed.

Higher contrast (50% closer to the normal level of anime), but less detail comparing with v0.12.

Fixed high-freq artifacts in v0.12.

(2/19/2026) preview v0.12fd:

Better stability and details, extended dataset.

===============

Old:

(3/8/2026) preview v0.11fd 512px:

Prove of concept version for v0.12. Same dataset and settings as v0.12, except it was trained with 512px res.

Released by request, as it might be very useful. Running model in 512px and cfg1 is extremely fast (x10 faster, e.g. 30s -> 3s). If you don't have a beefy GPU. You can use this version to test your ideas/prompts in few seconds.

(2/12/2026) preview v0.6d:

CFG distilled only. No finetuning. Cover images are using Animeyume v0.1.

(2/3/2026) preview v0.2fd:

Speedrun attempt, mainly for testing the training script. Limited training dataset. Only covered "1 person" images plus a little bit of "furry". But it works, and way better than what I expected.