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    League of Legends / LoL Splash | PDXL | Style LoRA - v1.0
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    A very powerful LoRA trained to recreate many styles and concepts, based on League of Legends splash art.


    This is not meant to just be a "set it and forget" it LoRA, you need to use it properly. Read below.


    I recommend starting with this default prompt:
    POSITIVE

    l0lspl4sh, source_anime, score_9, score_8_up, score_7_up, year2024, year2023, West Studio, sixmorevodka, {prompt}

    NEGATIVE

    score_4, score_5, year2009, year2010, year2011, year2012, year2013, year2014, crazy eyes, constricted pupils, legacy, {prompt}

    This LoRA really loves highres fix, as it brings out a ton of detail. Additionally, i can only recommend using Adetailer, to get perfect faces.

    I recommend using these parameters:

    The recommended prompt "template" is as follows:

    l0lspl4sh, source_anime, score_9, score_8_up, score_7_up, <yearXXXX>, <CHARACTER|1girl/1boy>, <SKIN NAME 1girl>, <SKIN SERIES>, <Artist1>, <Artist2>, <general tags>

    The images were tagged exactly as they appear on the league of legends wiki:
    So if you're going for something specific, maybe look up skins for inspiration from the wiki.

    The model was trained on 3000~ appropriately tagged images, with many new concepts introduced. Take a look at the wordclouds below to see which tags are most prominent in the training set. (the bigger the words, the more images had the tags)

    Artist Name

    Release Date

    Skin Name
    Skin Series

    Description

    "Initial" version. Many iterations in, the first I think is ready. Unlikely to be updated.

    FAQ

    LORA
    Pony
    by RC0N

    Details

    Downloads
    1,617
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/9/2024
    Updated
    4/22/2026
    Deleted
    -
    Trigger Words:
    L0LSPL4SH, year2024, year2023, West Studio, sixmorevodka

    Files

    L0LSPL4SH_40epochs.safetensors

    Mirrors

    Other Platforms (TensorArt, SeaArt, etc.) (1 mirrors)

    Available On (1 platform)

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