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    Candid Upskirt - 1.0
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    Finally a good candid upskirt LoRA

    This LoRA is capable of creating very realistic pictures around the candid upskirt topic. It can be used for inpainting too. Candid upskirts are those specific moments where a person flashes their undies being unaware of it.

    It is quite versatile, so you will get plenty of good results on very different scenarios (see samples).

    This LoRA has been trained using a high quality dataset on a realistic model, although it's been proven to work on cartoon models as well.

    Please check the generation parameters below.

    It has been trained on three different types of clothing: dresses, skirts and denim skirts.

    Example prompts:

    upskirt, girl seated on a sofa wearing a denim skirt <lora:upskirtAI:1>

    cinematic photo girl sitting on a couch, long brunette hair with (blonde highlights:0.7), wearing a miniskirt, at a photobooth, boots, at a, 35mm photograph, film, bokeh, professional, 4k, highly detailed, upskirt, <lora:upskirtAI:0.9>

    photography by by Bill Brandt, Wearing a short Dress,At a cinema, seated, rock n roll, from the front, simple background, <lora:upskirtAI:0.8>

    upskirt, two girls seated in the bedroom wearing a denim skirt <lora:upskirtAI:1>, high resolution, detailed, cinematic, contrast

    Example negative prompt:
    BadDream, UnrealisticDream


    Generation parameters:

    CFG works best at 7

    The LoRA intensity should be set somewhere between 0.5 and 0.9.

    It works best with realistic models (Analog Madness, Realistic Vision, EpicRealism, etc.)

    It can be used for inpainting

    Although it's not necessary, you can use the trigger word upskirt if the prompt you're using is too long or complicated.

    Description

    1.0 - First iteration of this Candid Upskirt LoRA

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    1,974
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/15/2024
    Updated
    4/22/2026
    Deleted
    -

    Files

    upskirtAI.safetensors

    Mirrors

    CivitAI (1 mirrors)