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    Hassaku (Anima) - v1.3
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    Hassaku Anima


    Join my Discord for everything related to anime models and AI art.
    If you’d like to support my work, you can do so on SubscribeStar
    Every bit helps me continue making AI models and even an AI VTuber, which is currently in the works.


    How to Use

    You need to use ComfyUI or Forge Neo.
    20-50 steps, CFG 3-6, (i like to use 25 stepts with cfg of 3.5 and er-sde as sampler).
    - Put @ in front of artist tags
    - Use lowercase for tags and spaces instead of underscores.
    - Recommended positive: "masterpiece, best quality, score_7", but since masterpiece is altered, in some cases masterpiece is enough
    - Recommended negative: worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts"
    - When using a tag that is different between Danbooru and Gelbooru, prefer the Gelbooru version.


    Supporters

    Special thanks to my supporters:
    Estryark, SETI, Kodokuna and dataset captioners mariotheknight and tamashiicolle


    Here are some resolution suggestions for Anima:

    • 1536 × 640

    • 1344 × 768

    • 1216 × 832

    • 1152 × 896

    • 1024 × 1024

    • 896 × 1152

    • 832 × 1216 — most recommended

    • 768 × 1344

    • 640 × 1536

    Larger resolutions are possible.
    Note: It is a Diffusion Transformer (DiT) model, it is less restrictive on sizes in compare to a Unet like Illustrious, you can use bigger resolutions.


    Version and License Info

    V0.1:
    A small-scale style training test, intended to see how adaptive Anima is.

    V1:
    Test for character training with nte characters and femme soule (pukey goddess shot trick). Better use of the style training set.

    V1 Style:
    Focus on a consistend style. Revert training of nte characters and femme soule (pukey goddess shot trick), because of forgetting issues of anima itself.

    License: Anima

    Description

    Every training was done with NL and tags, but only for style purposes.

    Tested with my settings:
    22 to 28 steps, CFG 3.5 to 4, er_sde, no artist tags and minimal quality tags.


    Better:

    • Better background compositions, less random, more structured

    • Fewer "melted-looking" elements


    Slightly better (in around 1–2 out of 5 images):

    • Better hands

    • Fewer random light particles


    Better or worse depending on taste:

    • Faces and bodies are more in shadows

    • It tends to produce fewer simple "dot noses"

    Note: No additional knowledge was trained into the model, as Anima have severe knowledge loss across concepts when trained for extended periods without datacenter-level hardware, which I do not have.

    FAQ

    Checkpoint
    Anima

    Details

    Downloads
    1,745
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/5/2026
    Updated
    8/10/2026
    Deleted
    -

    Files

    hassakuAnima_v13.safetensors

    Mirrors

    CivitAI (1 mirrors)

    hassakuAnima_v13.safetensors

    Mirrors

    CivitAI (1 mirrors)
    TensorArt (1 mirrors)
    TensorHub (1 mirrors)

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.