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    Noct Q - Uncensored Realism (built on Qwen Image 2.1) | 夜曲 ✨ - V3.0 Turbo
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    Noct Q

    Qwen Image 2.1, uncensored out of the box, packaged for ComfyUI in two versions: Turbo (5 steps) and Base (full steps). Nudes and explicit scenes render without a LoRA.

    What's new in V3

    • Turbo rebuilt on Viggle's v0.2.1 distillation, sampled in 6 steps. sharper images and seeds as varied as the full model

    • In a blind test on the same 150 prompts and seeds as V2 Turbo, less defect with the same prompt adherence and explicit rendering

    • Base is a new model based on three community NSFW LoRAs

    Settings V3

    • Turbo: 6 steps, euler, no CFG, 832x1248. Larger sizes work but bodies break more often.

    • Base: 25–50 steps, euler, simple. V3 Base: cfg 3 with the negative prompt, both set in the workflow.

    What's new in V2

    • Built on Viggle's v0.2 distillation.

    • The leftward shift in edits is gone.

    • Turbo: 5 steps, no CFG, about 11 s for 832x1248 on an 8 GB card

    • Base: the undistilled model, 25-50 steps, for the most faithful prompt following and for fine-tuning

    • The workflows use core ComfyUI nodes only

    What it does well

    • Full-body nudes in daylight, flash and night scenes

    • Explicit scenes, oral most reliably

    • Readable text on signs and labels

    • Anime and painted illustration

    • Plain-caption prompts: who, what she does, where, the light

    • Speed: about 12 s for a 1024x1536 image on an 8 GB card with int8 convrot

    • Image editing with the same files, in ComfyUI's Qwen Image 2.1 edit template

    Which file by Vram

    • 8–12 GB: int8 convrot (7.3 GB), the default, almost pixel-identical to bf16

    • 6–8 GB: int4 mixed (4.6 GB), the fastest; compositions shift a little

    • GGUF Q8_0, Q6_K, Q5_K, Q4_K (7.6 to 4.1 GB)

    • fp8 (7.3 GB): plain fp8 e4m3fn

    • bf16 and fp16 (14.2 GB): for merging and training; fp16 for GPUs without bf16

    Settings

    Turbo: 5 steps, euler, no CFG, on the schedule set in the workflow (core ManualSigmas node), 832x1248. Larger sizes work but bodies break more often; the workflow note gives the schedule for each size.

    Base: 25–50 steps, cfg 1, euler, simple.

    Notes

    • The negative prompt does nothing at cfg 1

    • Based on the 5-step distillation by Viggle

    • Shibari is VALIDATED, may allow obscure position support don't hesitate to try

    • Don't use it on real people.

    中文:基于 Qwen Image 2.1,开箱即可生成裸体与成人场景,无需 LoRA。两个版本:Turbo(5 步,无 CFG,采用 Viggle v0.2 蒸馏)和 Base(完整模型,25–50 步,cfg 1)。8–12G 显存用 int8 convrot,6–8G 用 int4 mixed。仅限非商业用途。

    License

    Built with Qwen. Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved. Free, non-commercial use only. Full licence: https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE. LICENSE and NOTICE, with the list of changes, are in the zip.

    Description

    Turbo rebuilt based on Viggle's v0.2.1 distillation merged into Qwen's weights.

    In our blind test on the same 150 prompts and seeds as V2 Turbo, less images had a visible defect with the same prompt adherence and explicit rendering.


    Five formats: int8 convrot, int4 mixed, fp8, bf16, fp16. The workflow uses core ComfyUI nodes only. Built with Qwen.

    FAQ

    Checkpoint
    Qwen 2.1

    Details

    Downloads
    300
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/25/2026
    Updated
    9/25/2026
    Deleted
    -

    Files

    noctQUncensoredRealismBuiltOn_v30Turbo_int8.safetensors

    noctQUncensoredRealismBuiltOn_v30Turbo_int4.safetensors

    noctQUncensoredRealismBuiltOn_v30Turbo_fp8.safetensors

    noctQUncensoredRealismBuiltOn_v30Turbo.json

    noctQUncensoredRealismBuiltOn_v30Turbo_fp16.safetensors

    noctQUncensoredRealismBuiltOn_v30Turbo_bf16.safetensors