CivArchive
    Wa LoCon (NoobAI-XL) - v11.3
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    Wa, a very awa LoCon extract of a NoobAI XL finetune.

    Trained on NoobXL vpred, but compatible with other Illustrious/NoobAI-XL based mixes.

    The finetuned model was trained using a select number of artists. The motivation behind this is to improve the aesthetics of the noob series of models, specifically on the anatomy and manga side of it.

    I started training the noob model because I found that the style of some of my preferred artists could not be well replicated and the finetune kinda evolved from there. As of now, the dataset includes high-quality work from a total of 9 artists, and more might be added in the future.

    Recommended settings

    • Negative: lowres, worst quality, low quality, watermark, expressionless, no pupils

    • Normal (~1MPx): Euler SMEA Dy CFG++ (1.5 cfg strength) & Beta/KL Optimal

    • Hires (~3MPx): Kohaku_LoNyu_Yog (4.5 cfg strength, 0.4-0.7 denoise strength) & KL Optimal (warning: kohaku sampler is quite slow, but is more consistent for hires)

    • Hires (~7MPx): Kohaku_LoNyu_Yog (4.5 cfg strength, 0.25-0.37 denoise strength) & KL Optimal

    Examples (no artist tags)

    Changelog:

    • v12.2 (experimental) - NoobAI XL 1.0&v29b vpred mix

    • v11.3 - NoobAI XL 0.75S vpred

    • v7.1 - NoobAI XL 0.65S vpred

    Description

    Trained on NoobAI-XL 0.75S vpred

    • 495 manually selected and cropped images

    • EVA2 tagger

    • 80GB VRAM config (H100)

    • EDM2 (easyscripts only)

    • Tag dropout rate 7.5%

    Artists:

    • dam

    • nonco

    • michiking

    • jp06

    • ootomo takuji

    • try (lsc)

    • nutsbutty

    • greatodoggo

    • seto yuuki

    • homunculus

    FAQ

    LoCon
    NoobAI

    Details

    Downloads
    165
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/26/2025
    Updated
    4/22/2026
    Deleted
    -

    Files

    wa_noob_11_3.safetensors

    Mirrors

    Huggingface (1 mirrors)
    CivitAI (1 mirrors)

    training_config.zip

    Mirrors

    CivitAI (1 mirrors)