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

    Qwen Image 2.1, uncensored out of the box, packaged for ComfyUI in two versions: Turbo (6 steps) and Base (full steps). Nudes and explicit scenes render without a LoRA.

    What's new in V3

    • Turbo rebuilt and 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, fewer defects with the same prompt adherence and explicit rendering

    • Base is a new model, stronger on explicit scenes

    Settings V3

    • Turbo: 6 steps, euler, no CFG, 832x1248.

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

    Prompt examples

    The prompts of three V3 Turbo showcase images, written like captions of the finished picture: the medium first, then the woman, what she does, where, the light and the framing. All three use V3.0 Turbo int8 convrot in the V3 workflow (6 steps) at 832x1248, and the same seed should give the same picture.

    Attic room, seed 96060

    An amateur photograph of a nude woman in her twenties with long light-brown hair and full hips, kneeling on an unmade bed in a Parisian attic room with two round windows, stretching her arms above her head with her eyes closed. Morning light through the round windows, rooftops outside. Full body from the side, sharp focus, natural skin texture.

    Candlelit bath, seed 96120

    A phone photograph of a nude woman in her twenties with a blonde bob and a slim build, sitting on the edge of a deep stone bathtub surrounded by lit candles, testing the water with one hand and looking down at it. Warm candlelight, dark slate tiles. Full body from the side, sharp focus, natural skin texture.

    Oil painting, seed 96240

    An oil painting on canvas of a woman in her twenties with auburn hair pinned up loosely, wearing a long white linen dress, standing by a tall open window in a quiet Dutch interior and reading a folded letter, her face turned down toward it. Soft north light falls across her face and the dress, a blue-and-white jug stands on a wooden table and the floor has black and white tiles. Visible brush strokes on her skin, hair and dress, a muted ochre and blue palette. Full body

    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), in v1.0

    • fp8 (7.3 GB): plain fp8 e4m3fn

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

    Notes

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

    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(6 步,无 CFG)和 Base(完整模型,25–50 步,cfg 3)。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 in 6 steps.

    In our blind test on the same 150 prompts and seeds as V2 Turbo, fewer 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

    Comments (31)

    ellricSep 25, 2026· 1 reaction
    CivitAI

    any chance of no turbo lora backed in version?

    Edid: thank you for adding it. will test it now.

    noctaluna
    Author
    Sep 27, 2026

    Enjoy! V3 Base is the one I recommend.

    schschSep 25, 2026
    CivitAI

    Did you use your example images above with RAW (not turbo) model? I ask because I am rendering images with your workflow, with turbo (5-steps), V20 turbo fp8 diffusion version, and I want to improve image quality. Some outputs have no proper body parts. There is no 'step' node. How to increase steps without a Ksampler node?

    noctaluna
    Author
    Sep 25, 2026· 1 reaction

    For the best quality, use the Base version: its workflow is in the files of that version and uses a normal KSampler, so you can set the steps there (25 by default). The Turbo is built for its few fixed steps.

    VirtualSep 25, 2026· 4 reactions
    CivitAI

    Will you add Natural Breasts and also larger Areola and Nipples to the next version?
    Everything looks the same as if the dataset was very narrow or similar.

    civitaxianSep 25, 2026· 5 reactions
    CivitAI

    Very low quality if used to edit image, it makes the image quality very low.

    infernahermit846Sep 25, 2026

    Strange. for me it's the opposite. while editing the quality is great, while generating the quality is very low.

    VeerGeerSep 25, 2026· 1 reaction

    @infernahermit846 Hehe, sounds like something between Attention Engine, Sampler, Scheduler choice

    or downright "which program runs it" or GPU differences ...

    gurupatrik181Sep 26, 2026

    Try LCM

    noctaluna
    Author
    Sep 27, 2026

    For the best quality, go with V3 Base, the Turbos were more experimental.

    belemberSep 25, 2026
    CivitAI

    I cannot get this model in Turbo to work correctly as the images turn out really bad. Images using Base are better. I am using Kubuntu 26.04 Linux, Rocm 7.1 and an R9700 and SwarmUI.

    I am using the recommended settings. In my opinion, Krea 2 is far superior at this time.

    It would be very helpful to include example prompts.

    noctaluna
    Author
    Sep 27, 2026· 2 reactions

    Agreed, Base does better: V3 Base is the recommended version, the Turbos were more experimental. There's now a Prompt examples section on the page.

    wkwjhskssksbg465Sep 25, 2026· 5 reactions
    CivitAI

    Cool, but why not a lora/lokr?

    noctaluna
    Author
    Sep 27, 2026

    A full checkpoint is simpler to use, no extra files to set up.

    sherrydason45Sep 25, 2026· 9 reactions
    CivitAI

    don't bother with the TURBO MODEL. it provides absolutely unusable images with missing body parts and sometimes its just a mess of jumbled up pixels.

    noctaluna
    Author
    Sep 27, 2026

    The Turbo versions were more experimental, V3 Base is the recommended one.

    benjaminbeclubkrSep 25, 2026· 7 reactions
    CivitAI

    I really appreciate what you're trying to do here, but edits with this model are unusable and broken. Your V1 couldn't do nsfw very well, but V3 can't generate usuable images at all.

    (talking about Turbo model)

    incivSep 26, 2026

    I found Viggle 0.2.0 kinda broken. v0.2.1 is a bit better; try that with the Base.

    noctaluna
    Author
    Sep 27, 2026

    Thanks for the feedback. The Turbo versions were more experimental, V3 Base is the one I recommend.

    hanjeiroger854Sep 27, 2026
    CivitAI

    RTX4060 8GB+32GB

    NoctQ_V3_base_fp16.safetensors OK??

    noctaluna
    Author
    Sep 27, 2026

    I recommend int8, same quality, 2 times faster

    raelplays90259Sep 28, 2026· 4 reactions
    CivitAI

    no anus, sad

    schschSep 28, 2026

    There are LORAs that improve vagina/anus, etc. Try to search for 'vagina' and put BASE MODEL 'qwen 2.1', for example.

    vladmight875Sep 28, 2026
    CivitAI

    it works well (base model without turbo) but changing faces to much in edits plus removing hairs from public areas

    rbai104Sep 29, 2026· 1 reaction
    CivitAI

    I feel that v3.0 has both worse image editing performance and poorer prompt adherence compared to v2.0. Personally, I think the v2.0 Base version is the best overall.

    dolores332Sep 29, 2026
    CivitAI

    V3.0 base on edit changes the face too much. V2 is better keeping face consistency.

    V2 base and redqw21 are still the best tho for nsfw qwen2.1. But most loras with redqw21 are not compatible or half compatible to be used along with the model. Yours are compatible with all qwen21 loras i used.

    hughchungus420Sep 30, 2026
    CivitAI

    3.0 works pretty well, haven't run into it changing faces. Model MUST be used in base form, turbo is pretty unusable sadly, But works great paired with the turbo lora here on civitai uploaded by tsolful.

    createcvt10Sep 30, 2026
    CivitAI

    The int8 version gives quite low quality text to image. I only tested v3 experimental at 1024x1024.

    In editing gave several photos and told to convert to cartoon/ illustration style, but failed.

    So I think only the regular version is good?

    createcvt10Oct 3, 2026

    The Base version dose work on the above situations. Thanks for the Base model.

    LowQualityEnjoyerSep 30, 2026· 12 reactions
    CivitAI

    I'm flabbergasted in how better this model is compared with that guy that asked 88k buzz for it's model...

    hughchungus420Sep 30, 2026· 3 reactions

    You'll be a lot less flabbergasted if you saw how often it happened with every other model family, the people asking absurd amounts of money in paygating and early access are never the highest effort model trainers/mergers. Many such cases.

    Checkpoint
    Qwen 2.1

    Details

    Downloads
    1,490
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/25/2026
    Updated
    10/6/2026
    Deleted
    -

    Files

    noctQUncensoredRealismBuiltOn_v30TurboExperimental.json

    noctQUncensoredRealismBuiltOn_v30TurboExperimental_int4.safetensors

    noctQUncensoredRealismBuiltOn_v30TurboExperimental_fp8.safetensors

    noctQUncensoredRealismBuiltOn_v30TurboExperimental_int8.safetensors

    noctQUncensoredRealismBuiltOn_v30TurboExperimental_bf16.safetensors

    noctQUncensoredRealismBuiltOn_v30TurboExperimental_fp16.safetensors