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    Ultra Instinct Effect LoRA - v3 offset
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    Ultra Instinct effect LoRA

    Making models can be expensive. Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee

    I need to thank Kanye from the WD Discord for this.
    I've always wanted to make a UI lora, but lacked data for it. Kanye made one a while ago, which was very hard to use because the dataset was only made with Goku pics from the anime (can't be helped). However he showed me how to control it in order to get something that wasn't Goku all the time.

    So I got a little creative. I left my PC running to generate around 5k images of various subjects overnight, then I selected around 150 good ones (mainly females) and I integrated it with anime screencaps of Goku. After training the lora I merged it with by DBS style lora at -0.44 weight to further reduce the style overfitting.
    This is now my second lora from synthetic data and I'm not really a fan of the process :D

    I don't think the results are perfect (that's why I disabled the comments) and the lora is still difficult to control, but at least it's now easy to get girls and different characters.

    Should work fine at around weight 1 on most models. I tested AnyLoRA, AAM, DreamShaper, NED, AbsoluteReality and even Western Ani Diffusion. Use ultrainstinct, aura to increase fidelity and look at the example prompts.

    Also remember to use ADetailer for full body images, as well as highres fix.


    How to use LoRA's in auto1111:

    • Update webui (use git pull like here or redownload it)

    • Copy the file to stable-diffusion-webui/models/lora

    • Select your LoRA like in this video

    • Make sure to change the weight (by default it's :1 which is usually too high)

    Description

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    2,487
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/17/2023
    Updated
    4/23/2026
    Deleted
    -
    Trigger Words:
    ultrainstinct
    aura

    Files

    Available On (2 platforms)

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