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    Merula Snyde - Harry Potter: Hogwarts Mystery - v3.0
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    Lora trained on a dataset comprised of screencaps, promotional images and fanart of Merula Snyde, from the Harry Potter: Hogwarts Mystery mobile game.

    Use purple eyes to get her unique eyecolor, as the model doesn't quite get it on its own.

    Description

    Third version, trained on actual screencaps of the character as opposed to just a handful of fanart from the boorus. It's much more accurate and consistent when drawing the character.

    FAQ

    Comments (6)

    CT111595Aug 17, 2023
    CivitAI

    need more girls from the game

    portraitartist999132Sep 14, 2023
    CivitAI

    Could you please make a LoRA of Bellatrix LeStrange?

    wilyraihan1809Feb 25, 2024
    CivitAI

    i,m so confused on how you make them, what model do you use, cause my result always looks like just came out of th egame with shitty quality

    mrseyker
    Author
    Feb 25, 2024· 1 reaction

    Do you mean the pictures or the lora?

    The pictures have the prompts I use. You usually want to keep the lora strength below 1 (I usually use 0.7) to let the model abstract when drawing. And some models work better than others.

    The Ismelda lora is the more prone to bad quality in my experience due to the lackuster sources for the dataset and the character not being conventionally attractive. Too low lora strength prettyfies the char too much, but too high can make her look really hideous (more than she's meant to be).

    wilyraihan1809Feb 26, 2024

    @mrseyker yes picture, 0.7 thats useful, what about model, what model that u use

    mrseyker
    Author
    Feb 26, 2024

    @wilyraihan1809 Pixai's Daydream for the original batch of prrviews, which is unfortunately exclusive to that site.

    LORA
    SD 1.5

    Details

    Downloads
    725
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/17/2023
    Updated
    5/13/2026
    Deleted
    -
    Trigger Words:
    Merula

    Files

    MerulaSnyde.safetensors

    Mirrors

    TensorFiles (1 mirrors)