CivArchive
    Preview 136551907
    Preview 136551946
    Preview 136551914
    Preview 136553484

    RDBT [Anima]

    This is a personal finetuned + distilled model.

    Dataset contains 10k images. All images are handpicked, aesthetic and have accurate anatomy. Does not contain any shiny plastic glossy AI image.

    Compared with the pretrained anima model, this model has:

    • 1, 2 stable composition, better and logical background, less artifacts, better prompt adherence.

    • 3 no bias, doesn't change styles, faces.

    It doesn't have overfitted default style. It's still as creative as pretrained model. This is a feature, not a bug. It's a clean starting point for more style LoRAs.

    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:

    Recipe: This model + style LoRA you want, normally you can go LoRA strength 1 without issues (unless the style LoRA is super overfitted)

    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), set "renorm_cfg" value to 1.1.

    • Steps: 16+ (some versions can be 8)

    Prompt:

    Always specify style in prompt. Otherwise, you will get random/mixed style. This is a feature, not a bug. This model does NOT have overfitted default style (which ignores prompt and is always active).

    Quality tags:

    Omit ALL quality tags. You don't need those. 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.


    Misc.

    Base model:

    Description

    FAQ

    Comments (7)

    KirokumiJul 13, 2026· 8 reactions
    CivitAI

    Whoa, this turbo is actually quite amazing what the hell? Much better than normal Anima Turbo in terms of quality and just as fast, this is a god send.

    reakaakasky
    Author
    Jul 13, 2026· 7 reactions
    CivitAI

    I know v1.0 has too many versions and are confusing. A brief clarifying:

    All v1.0 shared the same finetuned base model, but later distilled with different settings.

    16-step: is the most creative one. More diverse, dynamic.

    8-step: used standard distillation settings that a "turbo" would use. Needs less steps, more stable, but less diverse. (This one probably can be deprecated in favor of the official turbo model.)

    Those two versions above are homemade. I don't have huge amounts of resources, I can't take care 20k built-in artist style tags, they're too many. Thus built-in artist tags are not distilled. Without CFG, they have weaker effects. (This is not a issue for new styles from external LoRA).

    E.g. 1, 2, (16-step is more dynamic than 8-step) 3 (built-in artist style is weaker)

    turbo: this one merged new released official anima turbo model. This should be similar to the "8-step", but has better built-in styles. E.g. 3 (built-in artist style is more accurate),

    m4rbleyeJul 14, 2026· 1 reaction

    TBH my favourite combo is still v0.39 (the last one before 1.0) + the new Anima Turbo model as base. It has considerably more creativity and style adherence than all 1.0 ones in my testings.

    ikekph5Jul 16, 2026

    My favorite combo is v1.0 16-step + new anima turbo (extracted lora). 0.5:0.5.

    Official turbo really bad at lighting, always locked to mid brightness. v1.0 16-step can go really dark and cinematic.

    king6sssJul 14, 2026· 1 reaction
    CivitAI

    In LoRA usage, the 16-step seems to be on par with Turbo; personally, I even lean toward the 16-step model.

    ZaltarJul 14, 2026
    CivitAI

    Hi, totally noob question : what are the tradeoffs between turbo models and regular models?

    m4rbleyeJul 16, 2026· 4 reactions

    Turbo models will "specialize" the base models to do certain things. You lose some knowledge and diversity in favour of speed and stability.

    Checkpoint
    Anima

    Details

    Downloads
    754
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/13/2026
    Updated
    7/27/2026
    Deleted
    -

    Files

    rdbtAnima_b1V10Turbo.safetensors

    Mirrors