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    RDBT [Anima]

    This is a general finetuned + distilled model.

    Dataset contains ~10k handpicked images. With accurate NL captions from LLM and body/hands anatomy. Does not contain any shiny plastic glossy AI image.

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

    This model, in theory, has avg quality beyond "masterpiece", less artifacts and errors, better prompt adherence. I use the model as a clean starting point to stack more LoRAs. I can get the style exactly as it should be.


    Update log and version info: link.

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

    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. 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+

    • 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 overfitted default style (which ignores prompt and is always active).

    Quality tags:

    Omit ALL quality tags. Yes, 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.


    FAQ:

    About distillation:

    Compared to the official turbo model, my distillation has very high diversity (seed, style diversity, etc.), and is more compatible with style LoRAs (it won't add a quality filter which changes/overwrites the style drastically).

    I didn't name it "turbo" because the unwritten definition of "turbo" model is 8-step + aesthetic RL + many black magic. My distillation is just a basic distillation that mimics what the original model would generate. A real "turbo" model is too much for me.

    Why not bake a default style?

    If a model has a default style, this means whether you prompted or not, the style is always active. This is called "overfitted", this not a feature, it's a bug.


    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".

    Description

    FAQ

    Comments (18)

    gannibalFeb 7, 2026· 1 reaction
    CivitAI

    Can you please put your fp16 patch back for download? They might have implemented fp16 support to ComfyUI, but it's almost 3 times slower than your patch on my hardware.

    RicemanTFeb 7, 2026· 2 reactions

    Thank god I saved the patch on my own, here: anina_fp16_patch.py · RicemanT/Loras_Collection at main

    reakaakasky
    Author
    Feb 7, 2026· 1 reaction

    Does my patch still work? I didn't test.

    I deleted my patch because I thought my patch will mess up their implement.

    RicemanTFeb 7, 2026· 1 reaction

    @reakaakasky it still work yeah, i havent test if comfy is slower or not but i'm literally genning rn so your patch seems safer lol

    reakaakasky
    Author
    Feb 7, 2026· 1 reaction

    I don't think my patch is needed. I checked and tested comfyui's patch.

    Although I'm on 4xxx, so idk.

    "3 times slower" sounds like fp32

    gannibalFeb 7, 2026· 1 reaction

    @reakaakasky On RTX 2070 with your patch is 1.5 s/it. With your patch removed (ComfyUI's patch) it's 3.2 s/it. (made sure it's fp16 computedtype). More than 2x slower without your patch. Significant difference.

    reakaakasky
    Author
    Feb 7, 2026· 1 reaction

    @gannibal do you have the --fast arg in your comfy startup command? My patch also enabled fp16_accumlation.

    gannibalFeb 7, 2026· 1 reaction

    @reakaakasky My bad, i also had xformers turned on, it did not play well with ComfyUI's patch. With pytorch cross attention it's about as fast as your patch was.

    shubasaur877Feb 7, 2026· 1 reaction
    CivitAI

    I don't know how to do this stuff correctly, with the fp8 version on 4080S I get the same gen times as the bf16.

    MarkinZzZFeb 11, 2026· 1 reaction
    CivitAI

    Does Forge Neo supports it? I'm getting an error : NotImplementedError: "LayerNormKernelImpl" not implemented for 'Float8_e4m3fn'. What do I do wrong?

    MeowzillaFeb 12, 2026· 1 reaction

    use default on dtype

    MarkinZzZFeb 13, 2026· 1 reaction

    @Meowzilla What is this option? On main page or in settings?

    orhay1Feb 13, 2026· 1 reaction

    Forge Neo supports Anima model now (not sure about quants tho)

    MeowzillaFeb 13, 2026· 1 reaction

    @MarkinZzZ My bad, I missed the forge part. My thing is for comfy.

    MarkinZzZFeb 14, 2026· 1 reaction

    @orhay1, Yeah, it seems that Anima_preview works, but not fp8. Anyway OG anima's images in forge neo (at least what I tried to generate) isn't so good though lol. Maybe we need to wait for a proper release, 'cause I just don't like Comfy for its overcomplication and uneven generation

    meipawsFeb 17, 2026· 1 reaction

    NotImplementedError: "rms_norm" not implemented for 'Float8_e4m3fn'

    nerd_bgdFeb 14, 2026· 1 reaction
    CivitAI

    Anima is really great model. We need more people creating checkpoints and loras!

    TesandoFeb 22, 2026· 1 reaction

    That's because Anima is still in preview, the training process didn't finish yet, when it launches for real it will be a total blast!

    Checkpoint
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    Details

    Downloads
    52
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    2/6/2026
    Updated
    7/31/2026
    Deleted
    2/8/2026

    Files

    animaFp8_fp16PatchV12_trainingData.zip

    Mirrors