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    • (9/26/2026): Distilled ckpt will not be updated. Use the new standalone acc LoRA here. After v2.4. All versions will be the "base" version (not distilled).

    • Update log and version info: link.


    RDBT [Anima]

    A general finetuned base 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. Complete background.

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


    There is no overfitted default style. Because the dataset is big enough. It's a feature not a bug. You must specify @style in prompt, or use a style LoRA. Otherwise, you will get random/mixed style.

    If you're not good at mixing LoRAs for a pretrained model, I also released a ckpt that merged many useful things, here. Out-of-the-box high quality, 16-step fast generation.

    If you're an advanced user and want to minimax everything: RDBT is trained as LoRA natively: link.

    16-step Acc LoRA: link.


    Usage:

    Settings:

    • Base version: has a suffix "base". CFG 4 and steps 24+ is recommended.

    • Distilled version (discontinued): CFG: 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.

    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.


    FAQ:

    Why I won't bake a default style:

    1. If a model has a "default" style (ignores prompt and is always active). We call it "overfitted". Technically, it's not a feature, it's a bug. This means the training dataset is not big enough, and the model has lost its ability to generate other styles.

    2. The goal of RDBT model is to "perfectly" reproduce styles. As some of you know, I use this model to aid in drawing. I need unique textures and details, instead of uniformed 2.5D AI slop style.

    3. This model has excellent compatibility. You can stack any type of Lora on it. After all, it's you who decide what style you want, not me.

    RDBT can't remove nor resist overwhelming Al slop effects

    Too long, see: link.

    My homemade distillation vs Anima official turbo model:

    Official turbo: 8 steps. High stability, low entropy. Adds a strong 2D anime filter that will overwrite style and cause style shifting.

    My homemade distillation: 16 steps. High diversity, low stability. Minimal style shifting.


    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).

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

    Description

    FAQ

    Comments (14)

    deitychaserJul 5, 2026
    CivitAI

    I believe you said some time ago, that you didn't feel like training with your full dataset because of how the circlestone labs license is structured. Is v1.0 of RDBT now a full dataset run or still limited in this regard?

    reakaakasky
    Author
    Jul 7, 2026

    Still limited, but that doesn't matter. Current dataset is handpicked. My larger dataset is fully automated and the avg quality tbh isn't good.

    Whoever11Jul 6, 2026
    CivitAI

    16 step V1 is better than 8 step V1. I do find that I have to either add or be a bit more specific with my prompts than before compared to b1V039B.

    Edit: Perhaps I should be more specific in my comparison. For V1 16 step I would have to be more specific in regards to lighting and placement of furniture compared to b1V039B. For V1 16 step, I would have to say "Bed on right side of view" or something like that or else I would get what I would describe as illustrious style small and disfigured beds on either side of the image. Not the worst thing in the world, just requires more wording to get what I want in some scenarios but others kinda get wrecked when it comes to two people and hands interacting in very specific scenarios.

    Edit 2: Noticing that prompt adherence seems to vary from prompt to prompt and is seemingly affected by both sampler and schedule type. Not sure why this is unless I just never noticed before on other anima checkpoints. Some prompts would do better with euler/euler a and others would do better on ER SDE alongside scheduler like simple/beta/normal

    fhaifhaiJul 7, 2026
    CivitAI

    any idea how to merge int8 models in comfyui? I normally merge rdbt with anima base, but the int8 variants don't seem to work that way

    reakaakasky
    Author
    Jul 8, 2026· 1 reaction

    I don't think ComfyUI can merge quantized model, also this is not recommended due to quantization loss, normally you merge bf16 models and quantize it .

    You can use the int8 anima base model, and add rdbt LoRA.

    ikekph5Jul 9, 2026

    You can merge bf16 model in ComfyUI and use this tool to quantize

    https://github.com/silveroxides/convert_to_quant

    There are some custom nodes that supposes quantization in ComfyUI, but kinda buggy.

    MeisterGoonJul 8, 2026· 2 reactions
    CivitAI

    Using the Anima Turbo Lora v0.2 on latest model (fp8 version) produces images nearly identical in quality as to just using it normally, so very excellent in speeding things up!

    Ses_AIJul 8, 2026· 1 reaction
    CivitAI

    does latest rdbt anima version has any external requirements? It wont start, giving no error if just plug instead of anima base

    reakaakasky
    Author
    Jul 9, 2026· 1 reaction

    int8 version needs comfyui v0.27

    ikekph5Jul 9, 2026· 2 reactions
    CivitAI

    Thank you for your amazing work. Your RDBT model is truly magical. No matter how bad my training data is and how badly my character LoRA perform on the base anima model, the rdbt LoRA can correct it, without bias, and much faster.

    Hope you have fun with krea2. It's too big for many people's hardware.😭

    Edit: int4 now in ComfyUI!

    reakaakasky
    Author
    Jul 9, 2026· 1 reaction

    Krea 2 turbo model (cfg 1, 8 step) is as fast as non-turbo ~20-step Anima. Which isn't slow. int8 version is 13GiB, and comfyui is adding int4 support.

    ikekph5Jul 9, 2026· 1 reaction

    Thanks for the info!

    waiting for the int4 support, impatiently.

    anifibousJul 9, 2026· 4 reactions
    CivitAI

    Model is so cool! In my opinion, the best of the Anima type model. I would also like to add something like Arknights Endfield to the dataset, but this is purely a wish, and everything is already good.

    DeathinkerJul 11, 2026· 1 reaction
    CivitAI

    Why can't I merge RDBT with other Anima models? It says "Keys Mismatch".

    Checkpoint
    Anima

    Details

    Downloads
    994
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/5/2026
    Updated
    10/6/2026
    Deleted
    -