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    Emma (Lou! comic) - Donchibi Style - v1.0 Illustrious
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    Emma from the french "Lou!" comic, in Donchibi Style.

    IMPORTANT: When remixing on Civitai, remove any 'Pony' words, like <Roxanne (Pony):1>, even inside <> angle-brackets. These can cause problems!

    (Illust) Suggested strength / weight: 0.8

    (Pony) Suggested strength / weight: 0.85 ~ 1.0. I find value 0.9 to best.

    Checkpoints for Autism SDXL seems to provide most consistent results with the glasses.

    Trigger Words (Activation):

    • Emma_Donchibi_Style, red-brown hair, hair over eyes, blunt bangs, 1girl,

    Enhancement word:

    • black-framed eyewear, circular rim glasses, round eyewear, hair over one eye, long hair, bob cut,

    HiRes Fix is RECOMMENDED, suggested denoise 0.22 to 0.33. If not doing HiRes Fix, be sure to use Checkpoints for Autism SDXL seem best or similar Checkpoints. (Default Pony checkpoint may not give the best results without HiRes Fix.)

    For Pony & Illustrious: Recommend the Negative Embeddings use DeepNegative 1.x, or CyberRealistic Negative. These will make your faces look better and fix minor anatomy issues.

    For Pony: Recommend ExpressiveH and for Negative embedding for Negative Hand.

    Checkpoints

    For Illustrious - Most checkpoints look good but my favorite is this:

    For PONY - Best results tested so far used checkpoints like:

    Image Resolution

    Make your resolution images at (or larger than) 1024x1024 to get better results. For example, suggested image resolution is 832x1216. HiRes Fix not required but can improve image quality, usually with a 0.2 to 0.33 denoise is safe, but you can experiment higher.

    Description

    FAQ

    LORA
    Illustrious

    Details

    Downloads
    52
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/31/2025
    Updated
    4/28/2026
    Deleted
    -
    Trigger Words:
    Emma_Donchibi_Style, red-brown hair, hair over eyes, blunt bangs,

    Files

    Emma (Lou! comic) - Donchibi Style (Illust).safetensors