CivArchive
    Gucci - trained with no dataset - v1.0

    Please react to my videos: https://civarchive.com/user/ntc/images?sort=Most+Reactions

    #:0.08|~photo of gucci fashion, lips pursed, stern aloof look, profile picture, full torso and head in shot, fashion magazine photoshoot, fashionable hairstyle, cheekbones, hair fluffed and down

    https://github.com/ntc-ai/conceptmod

    You might belong in Gucci,
    Where dwell the brave at heart,
    Their daring, nerve, and chivalry,
    Set Guccis apart

    Description

    FAQ

    Comments (5)

    Vanadium74Apr 17, 2023
    CivitAI

    Forgive my utter ignorance but how does one train without a dataset? I thought you HAD to have some sort of data on which to train. I am quite confused.

    IndolentCatApr 17, 2023· 1 reaction

    Is right there in the description, the github link. It only works on things that SD already has some knowledge of it seems.

    ntc
    Author
    Apr 17, 2023· 3 reactions

    The data is within the model, this is a form of self play where the distance between '' and 'some prompt' is estimated by measuring the result of the diffusion process across three points and two models. You end up with a 'concept' vector for 'some prompt' in the latent that can be optimized towards. It's all very experimental.
    It's open source if you want to mess with it.

    ManOfCultureMay 23, 2023· 1 reaction
    CivitAI

    This is brilliant work. I think I'll have a play over the weekend.

    yaode360276Aug 14, 2023
    CivitAI

    from ? to ?

    LORA
    SD 1.5
    by ntc

    Details

    Downloads
    416
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/15/2023
    Updated
    6/28/2026
    Deleted
    -
    Trigger Words:
    hoto of gucci fashion, lips pursed, stern aloof look, profile picture, full torso and head in shot, fashion magazine photoshoot, fashionable hairstyle, cheekbones, hair fluffed and down

    Available On (1 platform)

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