CivArchive
    YanWan (白肝, eyangong) Style - LoRA - YanWan v1
    NSFW
    Preview 1717642
    Preview 1717644
    Preview 1717646

    Please, check the description, there is a little bit of useful information.


    Inеtroduction:

    This LoRA is supposed to represent YanWan's artstyle.

    Try not to use negative embeddings (textual inversions) with any style LoRA on SD 1.5 models.

    Try not to use any "scores" with this style LoRA on PonyDiffusion-based models.

    Make sure you're using "monochrome" in negatives on Pony-Diffusion-based models.

    Artist has an extremely limited dataset, there is a lot of repeated characters on his art, so, some chars (especially, from cartoons), may fail a bit. In terms on style. Thanks for attention!


    Compatibility (Pony):

    • Humans: great

    • Anthros: good

    • Ponies: good

    • Multiple characters: good

    • Character LoRAs; good

    • Unique characters: varies


    Recommendations (Pony):

    • 1.0 emphasis

    • Clip Skip 1

    • AutismMix - Pony for generations

    • score_9 as quality tag, nothing more

    • monochrome in negatives

    • Best result on simple background tag

    Some characters or tags may have a lot of emphasis towards their own style, so, this LoRA may work not so good with those tags.


    Recommendations (SD 1.5):

    • 1.0 emphasis

    • Clip Skip 2

    • Best result on simple background tag


    Credits:

    Trained on NAI Anime Full. Dataset of 100 pictures. 20 Epochs. Clip Skip - 2. SD 1.5.

    Trained on PonyDiffusionXL. Dataset of 64 pictures. 50 Epochs. Clip Skip - 1. PonyXL.

    Really big thanks to:

    • eyangong for beautiful artwork

    • Some good folks from Discord server

    • You, for reading, downloading and reviewing this LoRA

    Description

    Initial Release

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    1,165
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/25/2023
    Updated
    8/28/2026
    Deleted
    -

    Files

    YanWan.safetensors

    Mirrors

    CivitAI (1 mirrors)
    TensorFiles (1 mirrors)