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    Flux - ID Sign - V1
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    An id sign or verification sign at the strictest level requires a piece of crumpled piece of paper with specific information on it. Further, the sign is required to be displayed in multiple images, to ensure that images have not been edited or modified. Generating three views simultaneously enabled consistency between the images. Specifically, focus was given to the consistency of the sign text and the crinkles on the paper.

    This model is a LORA for flux1-dev and was trained on the flux1-dev checkpoint. The model was trained with 33 images found online. The images were rescaled to a standardized height and then merged in sets of three to form 11 images for training.

    The captions for training were of the form,

    "A woman holding a crinkled white paper sign from three views, left photo [SCENE] , center photo [SCENE] , right photo [SCENE]"

    Where SCENE was a sparse description of the photo.

    Example SCENE's: "standing naked","kneeling in panties from side", "reclining naked","naked from side"

    Recommended Settings

    The model works well with a,

    1 strength

    3-3.5 Distilled CFG

    30 steps

    Euler Simple

    fluxunchainedArtfulNSFW checkpoint

    resolution 1408x768

    Prompting

    Following this prompt format gave good results.

    "A woman holding a crinkled white paper sign from three views, The sign says ("TEXT":1.3), Describe the commonalities for all photos, left photo SCENE_1, center photo SCENE_2 , right photo SCENE_3 "

    The whole scene can be prompted with the common factors of the image. These prompts work with full sentences e.g. "a brunette woman in a bedroom","at the beach","a woman wearing a dress with large breasts"

    The individual scenes can be prompted too. Brief prompts had better sign consistency. e.g. "lying on a bed","Sitting on a chair", "Standing outside"

    Other prompting may work.

    Strengths

    creates id signs with the correct text

    creates id signs with consistent text and crinkles

    allows prompting of each photo

    works with a variety of subjects

    can create more than 3 views (not part of training data, credit to flux)

    Weaknesses

    photo consistency only happens 2-10% of the time (very prompt dependent)

    signs held at non-simple perspectives do not work

    the photos are not perfectly consistent

    credits: StableNudeAI

    Description

    lora
    flux1d

    Details

    Downloads
    88
    Platform
    Tungsten
    Platform Status
    Available
    Created
    11/12/2024
    Updated
    6/25/2026
    Deleted
    -

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