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    Grotesquerie — Grotesque Morphology & Aberration Slider - v1.0
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    Grotesquerie is an SDXL concept slider that modulates grotesque morphological qualities in subjects and objects.

    Negative weights progressively introduce aberrant, unsettling and often organic-looking deformation: distorted anatomy, malformed structures, irregular protrusions, unexpected openings, fused forms and increasingly monstrous reinterpretations. At strong negative values, otherwise ordinary concepts can be transformed into elaborate horror forms while often retaining enough of the original semantic structure to remain recognizable.

    Extreme negative weights: Strong negative values can produce highly elaborate horror reinterpretations in which familiar anatomy or object structure becomes organic, creature-like or architecturally impossible. These extremes are useful for creature design and conceptual exploration but should be considered generative extrapolation rather than subtle morphological adjustment.

    Positive weights move in the opposite direction, generally regularizing form, suppressing grotesque characteristics and encouraging cleaner, more harmonious or idealized interpretations. On human subjects this can interact strongly with the base checkpoint's existing beauty priors, producing increasingly aesthetically conventional faces and bodies rather than simply an "anti-grotesque" effect.

    The slider therefore should not be interpreted simply as ugly ↔ beautiful. Its primary axis appears to concern morphological aberration versus regularization, with beauty and horror emerging as downstream consequences of that concept.

    Note: Does horrific things to Character LoRAs in negative weights :)

    Description

    LORA
    SDXL 1.0

    Details

    Downloads
    20
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/20/2026
    Updated
    8/21/2026
    Deleted
    -

    Files

    Grotesquerie_v1.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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