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    Exclusive models available on my Telegram.

    Designed to look innocent, but she has attitude.

    Every image starts with natural light, realistic skin, and a photographic feel.

    She already has a personality, so treat her nicely.

    Ignore every suspicious LoRA you found at 3 a.m.

    Ready for an easy first date? Grab the wolFkroW_SSB.

    Expect only the essentials: a few nodes, a prompt, and you’re on your own.

    X marks the spot - if things get weird, tell me what you did. I know her.


    Links:
    Buy models or support - https://t.me/blacksnowskill


    Special thanks to iamddtla and Loraholic for their LoRa, which helped achieve the desired result in the Amateur versions.

    Description

    FAQ

    Comments (7)

    clueless_engineerSep 29, 2026· 1 reaction
    CivitAI

    Loved your previous versions. Unfortunately, Amateur_INT8_ConvRot might have had its amateur lora baked in a bit too strongly. It saps all color from an image, and more often than not the final image is blurrier than expected.

    llikswonskcalb
    Author
    Sep 29, 2026· 2 reactions

    It’s a matter of taste, after all. Some people need exactly this kind of behavior from the model out of the box. I posted it as an experiment to see how much the community needs it and whether it’s worth developing this branch of the model.

    LoraholicOct 1, 2026· 1 reaction

    @clueless_engineer You can merge it 50/50 with the official int8, and it will be half the strength. Or merge it with another nsfw checkpoint. I have made myself a 50/50 moodyV8/Desire merge that makes some incredible results imo.

    llikswonskcalb
    Author
    Oct 1, 2026

    @Loraholic Quite resourceful. I also recommend mixing it with the original DesireX model to ensure maximum compatibility.

    doombatzOct 1, 2026

    @Loraholic can you merge int8 with int8 krea2 models?

    LoraholicOct 2, 2026· 1 reaction

    @doombatz you can merge every model. I have merged bf16 with int8 etc.
    Just need to convert them before merge, and back to int8 again.
    Use Opus to make a simple script. If the int8 is not a convrot-model there will be around 7% error in the worst layers compared to bf16. But when the int8 model uses convrot its only around 2% dataloss in my testing.

    LoraholicOct 11, 2026

    @llikswonskcalb 
    Well well well. This did not age well.
    You have earned a spot on my "THE WALL OF THIEVES" on my profile.

    Checkpoint
    Krea 2

    Details

    Downloads
    1,553
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/29/2026
    Updated
    11/15/2026
    Deleted
    -

    Files

    BSS_DesireX2_INT8_ConvRot_Amateur.safetensors