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RDBT | Anima

Updated: Sep 5, 2026

base model

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2 variants available

Type
Checkpoint Trained
Stats

1,503

7

Reviews
Published

Aug 11, 2026

Base Model

Anima

Hash
AutoV2
306DE3EA94

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

out-_02952_.webp

RDBT [Anima]

A general finetuned model, better overall quality, better prompt adherence, less artifacts and errors.

Dataset contains ~10k images, handpicked by professional amateur artists, captioned by latest LLM. Accurate body/hands anatomy. Does not contain any shiny plastic glossy AI slop image. Big enough. No overfitted default style, face, etc.

Some cover images look ridiculous; they're just for demonstration purposes for corner cases.


Update log and version info: link.

Original LoRA: link. For advanced users: RDBT model is trained as LoRA natively. You don't need to download this full ckpt.

My distillation LoRA for RDBT: link. I won't recommend the official Turbo model because it's very sloppy and overwrites style LoRA. I have my own.

Links to base model:

For those who don't want to stack style LoRAs and is looking for a out-of-the-box ckpt with high aesthetic style: RDBT | Anime, based on RDBT, and optimized for high quality digital art.


Usage:

Settings:

  • CFG: 1~3. By default, model has been distilled. You can disable CFG (CFG 1) and run the model 2x faster. Cover images are without CFG for demonstration. "RenormCFG" node is highly recommended if CFG is enabled (CFG > 1), set "renorm_cfg" value to 1.1.

  • Steps: 16+

  • Sampler: Euler (best diversity), Euler a/er_sde etc. (better stability)

  • Res: 1MP

Prompt:

Always specify style in prompt, or use a style LoRA. Otherwise, you will get random/mixed style.

This is a feature, not a bug. This model does NOT have default style (which ignores prompt and is always active, which is "overfitted"). It means the dataset is big enough and model is not overfitted, still highly creative, and is compatible with any style LoRA. You get the style exactly as it should be, no conflicts, no style shifting.

Quality tags:

Omit ALL quality tags. The fine-tuning dataset has higher quality than "masterpiece". Thus quality tags don't have effects. Omitting those redundant tokens allows LLM to pay more attention on other words.


Sharing merges using this model is not allowed.

This mode is a free and it will always be free. This "restriction" won't affect anyone. It's only aimed at those who steal others' models to sell.

Known model thieves: NukeA.I (selling this model behind paywall on tensorart).

I wrote a story about it. Also contains a guide for trainers about "how to bake special trigger word into your model".