CivArchive
    Mirabel_Garlick - Mirabel_Garlick-v1
    Preview 140677
    Preview 140679
    Preview 140678

    This is my first attempt at training a LORA, I used the Harry Potter Legacy character Mirabel Garlick as I think it was recent enough to not be already included in mainstream Checkpoints, so I hope this can be helpful for your works!

    Feel free to share you attempts and feedback!

    it needs <lora:Mirabel_Garlick:1> of weight to get the exact details (the hat, the bows and such) I wouldn't go lower than 0.8 or it just lose all it's resemblances.


    the keyword is Mirabel_Garlick and I used the Danbooru tag system to train it so it works best using individual tags as prompts but let me know if it works on your descriptive workflow as well.

    More pics and outtakes

    I have a 1070 so I had to cut some corners while training this model but I hope you can enjoy it! (let me know if you wanna try and merge it with something else because I'm curious of the results :) )

    Description

    FAQ

    Comments (2)

    ritcher1Feb 24, 2023
    CivitAI

    Which models did you use for the previews and which ones do you recommend with this great LORA ?

    Trentonxx
    Author
    Feb 25, 2023

    I used mainly screenshots from the game! and what I believe was an exported 3D model from the game just for the fine-tuning of the nose/face shape.

    I mainly tried to generate using Everything v4.5, 7th Heaven and I was impressed by how good it merges with real-life models like Analog Diffusion 1.0 ! if I have time this weekend I'll try to upload more images using different models :)

    LORA
    SD 1.5

    Details

    Downloads
    928
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/23/2023
    Updated
    5/16/2026
    Deleted
    -
    Trigger Words:
    mirabel_garlick

    Files

    Mirabel_Garlick.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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