CivArchive
    Flux Topless - flux_topless_v1
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    See my examples for prompting style. Just use natural language.

    No specific keyword but words like nipples, breasts, and topless work.

    The samples were generated with LoRA strength 0.8.

    I find it helps to give random names, especially if you want multiple people.

    I've been sampling with guidance 3.0, simple euler schedule with 40 steps. I was using with max_shift and base_shift 0 but other values work well.

    It is trained with the full precision t5/clip conditioning so it will work best with those.

    Feedback welcome.

    Description

    It was trained with 500 images on an H100 with batch size 4 for 20,000 steps (160 epochs). I used quantized model weights for this version but i'm testing another one without. Rank 128 and alpha 128.