CivArchive
    Gubastia Lips - V1
    NSFW
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    This AI model, named Gubastia Lips, creates images of women with large yet beautiful lips, embodying the ideal many modern women aspire to. Inspired by the fashion trend of fuller lips, the model portrays lips that are not just big but exquisitely shaped, with harmonious curves and proportions that make them incredibly appealing, without any signs of artificiality or exaggeration. The lips of Anastasia Gubastia H (Human) are striking in their size but naturally beautiful, capturing the exact image that people imagine when they think of perfect, full lips.

    This model helps users visualize the ideal of having large lips that are not only voluminous but also naturally elegant and attractive. It highlights the fine line between overly exaggerated lips and tastefully enhanced ones, focusing on aesthetics and allure.

    By featuring Gubastia Lips in advertising campaigns, brands can effectively appeal not only to a female audience dreaming of full, beautiful lips but also to a male audience that appreciates expressive, naturally attractive lips. The model creates a universal image of beauty that resonates with everyone who values femininity, elegance, and charm.

    Model Tags:
    Global geyword: gubastia
    Additional Keywords: a woman with white curly hair and blue eyes

    This AI model is perfect for advertising that aims to blend fashion trends with natural attractiveness, ensuring broad appeal and engagement across diverse audiences.

    Description

    Nastya's first version on Flux. The previous version was on SDXL, but this one has a modified dataset and captions.

    FAQ

    LORA
    Flux.1 D

    Details

    Downloads
    917
    Platform
    SeaArt
    Platform Status
    Available
    Created
    9/3/2024
    Updated
    9/3/2024
    Deleted
    -
    Trigger Words:
    gubastia
    a woman with white curly hair and blue eyes

    Files

    Available On (1 platform)

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