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    Marsaili - v1
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    Marsaili is an Autumn Muse in her late 20's, embodying the fiery essence of fall through her vibrant presence. This Textual Inversion (TI) was crafted to capture her striking beauty, characterized by curly vibrant red chin-length hair and emerald green eyes that radiate warmth and intensity. Her pretty freckled face, paired with a soft rosy complexion, gives her an air of natural charm and vitality. Marsaili’s features include high cheekbones, a delicate jawline, and an elegant balance of sharp and soft contours, reflecting her bold yet approachable aura.

    Developed using the embedding merger tool, this TI focuses exclusively on facial features and basic body shape, leaving backgrounds, and art styles to the user's creative interpretation. The approach avoids overfitting and ensures that Marsaili’s core traits are adaptable across a wide range of scenarios, from rustic autumn landscapes to modern and fantasy settings.

    Version 1 of Marsaili’s TI is an experimental step in refining AI image generation techniques. By focusing on her autumn-inspired essence, this TI provides a starting point for creative exploration while avoiding common pitfalls like dataset entanglement or overly rigid prompts. This balance allows Marsaili to shine as a unique and adaptable muse in your artistic toolbox.

    The drawbacks: Version 1 uses about 2x as many tokens compared to other face TI's that are trained on images. This model was not trained on actual images and will have fairly random faces aside from the key details mentioned above in bold. If you find a particular face you like, stick to that seed and adjust the prompt. I created this TI as a way to be referenced using wildcards of my favorite faces.

    Description

    Initial version.

    TextualInversion
    SD 1.5

    Details

    Downloads
    13
    Platform
    SeaArt
    Platform Status
    Available
    Created
    12/3/2024
    Updated
    12/4/2024
    Deleted
    -
    Trigger Words:
    Marsaili_v1

    Files

    Available On (1 platform)

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