<h2 id="noct-q">Noct Q</h2>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.<h3 id="what's-new-in-v2">What's new in V2</h3><ul><li>Built on Viggle's v0.2 distillation.</li><li> The leftward shift in edits is gone.</li><li>Turbo: 5 steps, no CFG, about 11 s for 832x1248 on an 8 GB card</li><li>Base: the undistilled model, 25-50 steps, for the most faithful prompt following and for fine-tuning</li><li>The workflows use core ComfyUI nodes only</li></ul><h3 id="what-it-does-well">What it does well</h3><ul><li>Full-body nudes in daylight, flash and night scenes</li><li>Explicit scenes, oral most reliably</li><li>Readable text on signs and labels</li><li>Anime and painted illustration</li><li>Plain-caption prompts: who, what she does, where, the light</li><li>Speed: about 12 s for a 1024x1536 image on an 8 GB card with int8 convrot</li><li>Image editing with the same files, in ComfyUI's Qwen Image 2.1 edit template</li></ul><h3 id="which-file-by-vram">Which file by Vram</h3><ul><li>8–12 GB: int8 convrot (7.3 GB), the default, almost pixel-identical to bf16</li><li>6–8 GB: int4 mixed (4.6 GB), the fastest; compositions shift a little</li><li>GGUF Q8_0, Q6_K, Q5_K, Q4_K (7.6 to 4.1 GB)</li><li>fp8 (7.3 GB): plain fp8 e4m3fn</li><li>bf16 and fp16 (14.2 GB): for merging and training; fp16 for GPUs without bf16</li></ul><h3 id="settings">Settings</h3>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.<h3 id="notes">Notes</h3><ul><li>The negative prompt does nothing at cfg 1</li><li>Based on the 5-step distillation by Viggle</li><li>Shibari is VALIDATED, may allow obscure position support don't hesitate to try</li><li>Don't use it on real people.</li></ul>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。<h3 id="license">License</h3>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: <a target="_blank" rel="ugc" href="https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE">https://huggingface.co/Qwen/Qwen-Image-2.1/blob/main/LICENSE</a>. LICENSE and NOTICE, with the list of changes, are in the zip.

Noct Q - Uncensored Realism (built on Qwen Image 2.1) | 夜曲 ✨

First release: Qwen Image 2.1 in 4 steps, in nine formats: int8 convrot, int4 mixed, fp8, bf16, fp16 and GGUF Q8_0 / Q6_K / Q5_K / Q4_K. Text encoder and VAE included. 4 steps, cfg 1, euler, simple.

Files with SHA256: cdf2796a8df6eae342db6c8d3692d168bf8ee1ef4b2b6dc620a6a90c6c32cef3