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    Niji soft style XL (furry focused) - v2.0
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    Preview 107685193
    Preview 107685289
    Preview 107685353
    Preview 109158965
    Preview 107685399
    Preview 107685477

    This Lora is made for a semi-realistic Niji style with high detail and textured fur
    The dataset is mostly furry art, but it handles humans just fine too

    V3:

    • The dataset has been slightly adjusted

    • Network dim has been increased

    • The style effect is much stronger

    This is probably the final version, since I’ve achieved the exact style I was aiming for.

    I recomend using hiresFIX to get much more refined textures
    (the key advantage of v3 is the textures, they’re significantly more detailed).

    I recommend using it together with other style LoRAs
    (especially the ones listed in the suggested resources).

    Example of this LoRA’s impact on style (V3, same seed, prompt, etc.):

    V2.5:

    • The dataset has been expanded 2.5× compared to v2.

    • Improved generation stability and higher flexibility (thanks to the new dataset, v2 was a bit overfitted).

    • Around 50% of the dataset consists of humans and backgrounds, the rest is furry content.

    V2:

    • The dataset has become more diverse.

    • The dataset now consists of approximately 40% humans, 60% furry.

    • The style has become more stable, but I recommend using this LoRA with other niji LoRAs for better results (see Suggested Resources).

    Works well with Euler a + Exponential/Karras.

    For stable results, strength 0.8-1 is recommended

    Tensor.art_link

    for V1: If you want softer shades and "fluffy fur", based on my experience, it's best to use NoobAI V-pred models (example - the 3rd image in the post)

    Description

    FAQ

    LORA
    Illustrious

    Details

    Downloads
    114
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/26/2025
    Updated
    5/14/2026
    Deleted
    -
    Trigger Words:
    soft_niji

    Files

    soft_niji_style.safetensors

    Mirrors

    CivitAI (1 mirrors)