CivArchive
    TFFT/Sidebangs Hair Style - v2
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    Preview 2128850
    Preview 2128856

    Depending on the checkpoint used, this LoRA may or may not be necessary (some checkpoints often generate this hair.. substyle? without prompting).

    However, for times when you need it, you need it, SO! TFFT (Two face-framing tendrils)/Sidebangs LoRA is here. This is a spiritual successor to my Textual Inversion of the same type.

    Please feel free to comment/flame/question/discuss this in the comments below, and please please feel free to add images to the gallery using it.

    Thanks!

    Description

    Complete overhaul - entirely new dataset, reg images, settings, etc. Still "good" but not "great"

    Some important notes:

    • Significantly better odds of achieving the hairstyle VS version 1, but less respect towards original image.

    • Weights needed to achieve hairstyle with minimal image alteration vary wildly on a per-image basis (anywhere from 0.2 to 1.0, even on the same checkpoint + hair color)

    • Works best on illustrative, realistic, and photographic models

    • Anime models tend to keep/add the center-forehead bangs regardless of weight

    • Doesn't work well for Asians (keeps the center-forehead bangs) or Indians (just doesn't apply)

    • Still some struggles with brunettes (usually just need higher weights for this hair color, e.g. 0.5 to 1.25)

    • Has a strong desire to significantly alter image/facial features, although it tends to adhere to the overall style even so.

    • You may want to add "cleavage" and/or "nsfw" to negative prompts

    • Not tested on dudes. All training data images are of women of various natural hair colors and ancestries.

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    1,470
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/20/2023
    Updated
    4/30/2026
    Deleted
    -
    Trigger Words:
    tfft

    Files

    tfft_v2.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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