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    This model tries to do what other models fail to do, stay artistic and be NSFW at the same time, you can use it with low CFG 1.0 (but can go as high as CFG ~4.0). The idea is it can do NSFW really well but still have a higher quality than a pure SDXL model by far. 'maxNSW' versions exist because they can be better at male anatomy while losing a bit of creativity (but a7 is more creative than even base sometimes).

    Enjoy! I think I did not find any model so far that does better than Faking NSFW Flux hence reason why this exists. These models are different branches you can try both v1 v2 are just totally different branches, v1 and v1 maxNSFW are one branch all the others are v2 branch (v2-v7).

    Sampler and Scheduler:

    DPM++ 2M (beta_1_1 or Beta) - Reliable great quality

    DPM++ SDE (SGM Uniform) - Pretty great results but slow because DPM++ SDE is x2 slow

    SA-Solver PECE (DDIM Uniform) - Best photorealistic + variation IMHO but also slow

    Flux Guidance Scale: 2.5-3.5 (Creative-Prompt Adherence)

    Steps: 40-100 (I never managed to go lower than 40 and be satisfied with most models other than DMD2 ones, not even Z-Image said to be Turbo)

    CFG: 1.0-4.0

    If you really want to blow your mind, use z-image then use result as image init, use this model as a "refiner", iterate with same seed 2-3 times init image with 0.6-0.8, if image gets very dark use a different seed or variation seed with random setting and power 0.5. Change the prompt if you want while iterating but keep original prompt at least 80% of it.

    Description

    Another branch IMO better than Faking NSFW 1, more creative (but its subjective). This is the model I use most when it comes to FLUX.

    FAQ

    Checkpoint
    Flux.1 D

    Details

    Downloads
    145
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/28/2025
    Updated
    5/7/2026
    Deleted
    -

    Files

    fakingNSFWFlux_v20.safetensors

    Mirrors

    HuggingFace (1 mirrors)

    Available On (2 platforms)

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