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RDBT | Anima

Updated: Jul 12, 2026

base model

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2 variants available

Type
Checkpoint Trained
Stats

755

5

Reviews
Published

Jul 5, 2026

Base Model

Anima

Hash
AutoV2
EE8A86F3D0

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-_06819_.webp

RDBT [Anima]

This is a finetuned model with 10k high aesthetic images paired with natural language captions from LLM. Then distilled to further improve quality and stability. Dataset does not contain any shiny plastic glossy AI image.

Because the dataset is big enough, it was not overfitted and does not have a default style (in other words, it won't change the style). I use it as a clean starting point to stack more style LoRAs. I can stack whatever I want and get exactly what I stacked.

See this page for update log and version info.

For advanced users: The RDBT model is trained as LoRA natively. See this page for original LoRA.


Sharing merges using this model is not allowed. This "restriction" won't affect anyone. It's only aimed at those who steal others' models to sell. If someone is selling this model as their own, I'm happy to list them here so everyone knows.

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".


Usage:

Settings:

CFG: 1~3. This 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).

Steps: 16+

Prompt:

Always specify style, or use a style LoRA. Otherwise, you will get random/mixed style. This is a feature, not a bug. This model does not provide overfitted default style.

Quality tags:

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


Misc

Base model:

Training settings

  • All captions are NL from Google Gemini.

  • Optimizer: adamw, constant lr 0.00002, weight decay 0.1, batch size 16.

  • LoRA rank/alpha 24.

  • Timesteps shift 3.

  • Block 0-2 and adaln linear layers are skipped.

This model did NOT merge turbo LoRA.

  • I saw some guys on discord thought this is another model merged Anima turbo. No, it's not. This distilled model exists way before official anima turbo. First version RDBT for anima released at Feb 4, 2026. Anima turbo v0.1 released at Apr 21, 2026 (2 months after).

  • The codebase exists even before Anima model, it was for Lumina 2, and I released RDBT for lumina 2 at Dec 26, 2025.