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.



















