CivArchive
    Qwen-image_NSFW_Adv.1 - v1.0
    NSFW
    Preview 106745065Preview 106745086Preview 106745057Preview 106745063Preview 106746819Preview 106745079Preview 106745048Preview 106745052Preview 106745055Preview 106745059Preview 106745066Preview 106745067Preview 106745062Preview 106745072Preview 106745085Preview 106745054Preview 106745068Preview 106745074Preview 106745091Preview 106745092

    NSFW Adv. is a LoKr trained on Qwen-image FP8, focused on refining and adding details to the human body. It was trained on a curated dataset of over 3000 images. I had to scrap it and start over from scratch more than 10 times, with this final version being trained for over 100,000 steps.

    Even with all that effort, it's still got plenty of flaws. But after grinding on it for over two months, I had to push it out. The whole process was honestly super frustrating—tweaking, testing, culling, and repeating the process with a 10,000+ image dataset... it was just so damn hard. I seriously thought I might never finish it. But anyway, it's finally out. Hope you guys have fun with it.

    IMPORTANT USAGE TIPS:
    First, you'll need to install this plugin for your ComfyUI: https://github.com/ClownsharkBatwing/RES4LYF
    Once it's installed, you'll get a bunch of new, high-quality samplers and schedulers in your ComfyUI.
    I recommend using Sampler: res_2s and Scheduler: bong_tangent.

    I also recommend using it with this distilled LoRA for faster generation:
    https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors?download=true

    All demo images were generated using:
    Steps: 10
    CFG: 1
    Sampler:
    res_2s
    Scheduler:
    bong_tangent

    NSFW Adv lora strength 1.0

    Qwen-Image-Lightning-8steps lora strength 0.4~0.5

    PS: If you plan on merging this, please give credit or link back to this page. Thanks

    PS2: This LoRA training session was done with https://github.com/ostris/ai-toolkit, but I incorporated the new sampling methods for timesteps from sdbds (https://github.com/kohya-ss/musubi-tuner/pull/407).

    After several experiments, I found this method to be significantly effective for this training task, as it notably accelerated convergence. A big shoutout to them for their excellent contribution.

    Description

    LORA
    Qwen

    Details

    Downloads
    5,228
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/19/2025
    Updated
    11/15/2025
    Deleted
    -

    Files

    qwen-image_nsfw_adv_v1.0.safetensors

    Mirrors