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    Braided [FLUX] - V1
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    BRAID STYLES FOR FLUX

    This LoRA will produce a variety of voluminous loose braided styles. Most of the images in the dataset are back and profile views so you will need to be sure to include it in the prompt, if you want the subject facing the camera.

    Description

    TRIGGER WORDS

    braid_mermaid - will produce an intricate single braid likely with elaborate artistic details

    braid_fishtail - will produce braids with fishtail style plait. Note: For some reason fishtail tends to produce half up half down styles with a fishtail braid which I'm not sure why cause there was nothing like that in the dataset but yeah.

    braid_dutch - will produce braids that are plaited in an under and out manner where hair is woven away from the scalp

    braid_french - will braids with hair plaited in an over and out manner where hair is woven towards the scalp

    braid_boxer - technically not all images I used to train this style were actually "boxer" braids. This tag generates double braids or "pigtail" style braids that follow down the back of the head as opposed to the sides.

    Please note this LoRA was not trained to produce tightly woven braids. The braids it will produce are all very thick, voluminous braids that would likely require hair extensions to pull off IRL.

    Hair colors, including bold unconventional colors were detailed in the dataset so you should be able to prompt things like "subtle highlights" or "pastel blue purple and green balayage highlights"

    FAQ

    LORA
    Flux.1 D

    Details

    Downloads
    354
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/12/2024
    Updated
    5/13/2026
    Deleted
    -
    Trigger Words:
    braid_french
    braid_boxer
    braid_mermaid
    braid_fishtail
    braid_dutch

    Files

    832337_training_data.zip

    Mirrors

    CivitAI (1 mirrors)

    Braided_FLUX.safetensors

    Mirrors

    CivitAI (1 mirrors)
    TensorArt (1 mirrors)
    TensorHub (1 mirrors)

    Available On (1 platform)

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