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    NoobAI XL LoRA Mike No Hito - v2.2
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    NoobAI XL LoRA Mike No Hito

    This is a LoRA for the v1.1 version of the NoobAI XL model.

    The dataset v2ray/mike-no-hito used to train this LoRA is scraped using LagPixelLOL/mitgw, containing a total of 172 images.

    Big thanks to the artist for the very cute catgirls :3, you can find the artist on X (Twitter) with ID @doremifaso64.

    To use this LoRA, you can use the trigger word mike no hito. The artist is a furry artist so this will have a chance to make a character into a furry unprompted, if you encounter this, simply add furry to the negative prompt.

    This LoRA is trained using kohya-ss/sd-scripts, with rank 32, alpha 16, learning rate 1e-4, for 512 epochs with a total of 9728 steps, using an A100-80GB, took approximately 14 hours.

    If you have any questions, suggestions, or just want to talk to me, you can add me on Discord with ID @v2ray.

    Changelog

    • v2.2: This version is trained with rank 32, for 512 epochs (384 more epochs compared to v2.1), I didn't expect it to work but it actually works pretty well. If you think it's bad you can always use an older version.

    • v2.1: This version is trained with 3x3 Conv2d layers targeted, for 128 epochs (64 more epochs compared to v2.0).

    • v2.0: This version added a lot more training data, which are hand picked, cleaned, and deduped by me, mostly by hand. It has improved non-furry ability thanks to generalization, and overall better quality.

    Description

    This version is trained with rank 32, for 512 epochs (384 more epochs compared to v2.1), I didn't expect it to work but it actually works pretty well. If you think it's bad you can always use an older version.

    FAQ

    LORA
    Illustrious

    Details

    Downloads
    365
    Platform
    CivitAI
    Platform Status
    Available
    Created
    11/25/2024
    Updated
    5/14/2026
    Deleted
    -
    Trigger Words:
    mike no hito

    Files

    mike_no_hito.safetensors

    Mirrors

    Available On (1 platform)

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