✨ Qwen-Image 2.1 Glamour Portrait — 4-Mode Auto-Prompt Workflow (SFW, 16GB)ComfyUI · Qwen-Image 2.1 · one control panel · Built with Qwen━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━Pick a MODE, press Queue, get a finished 4:5 portrait. The workflow writes its own prompt: a built-in list of scene ideas (200 per mode) is expanded by Qwen3-VL 8B running inside ComfyUI into a detailed photographic paragraph, a clothing guard keeps every image inside the MODE you chose, and Qwen-Image 2.1 renders it. No LoRA is included or needed. All subjects are fictional, AI-generated adults. Tested on an RTX 5080 16 GB.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━✨ Features✅ One CONTROL PANEL, top-left — MODE, subject source, upscale switch, seed. Everything else is "Engine — no need to touch"✅ 4 MODEs — 1 Everyday · 2 Fitted outfit · 3 Swimwear · 4 Lingerie (opaque, lined). Clothing guards are built in✅ Random from the built-in list, or "My own idea" — type your own scene line; the expander and guards still apply✅ Auto-prompt expander inside the graph — Qwen3-VL 8B (same file as the text encoder, no extra download)✅ Hands-friendly prompt wording — simple hand anchors, no finger descriptions✅ Optional Upscale — SeedVR2 2× (1792×2240 → 2560×3200), OFF by default✅ Empty "Optional LoRA" slot — bypassed; drop in your own LoRA if you want one✅ Civitai metadata embedded — model hash, prompt, seed, sampler in every PNG (Image Saver)✅ No external files — all 4 subject lists are inside the workflow━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━📦 Required Models (3 files, ≈17.3 GB)• qwen_image_2.1_int8_convrot.safetensors (7.26 GB) — diffusion model → ComfyUI/models/diffusion_models/• qwen3vl_8b_int8_convrot.safetensors (9.35 GB) — text encoder AND prompt expander → ComfyUI/models/text_encoders/• qwen_image_2.1_vae_bf16.safetensors (0.68 GB) — VAE → ComfyUI/models/vae/Optional upscale (only if you turn Upscale ON):• seedvr2_ema_7b_fp16.safetensors (16.48 GB) + ema_vae_fp16.safetensors (0.50 GB) → ComfyUI/models/SEEDVR2/• Lighter option: seedvr2_ema_3b_fp16.safetensors (6.78 GB) — in our 2-image check it matched the 7B on face and skin detail at 100% and ran at the same speed, a good choice if you have less RAM━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⬇️ Download Links (Hugging Face)• <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors">https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/diffusion_models/qwen_image_2.1_int8_convrot.safetensors</a>• <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors">https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors</a>• <a target="_blank" rel="ugc" href="https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors">https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors</a>• SeedVR2 (optional): <a target="_blank" rel="ugc" href="https://huggingface.co/numz/SeedVR2_comfyUI/tree/main">https://huggingface.co/numz/SeedVR2_comfyUI/tree/main</a>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━🧩 Required Custom Nodes (all installable with ComfyUI-Manager)1. WAS Node Suite — <a target="_blank" rel="ugc" href="https://github.com/WASasquatch/was-node-suite-comfyui">https://github.com/WASasquatch/was-node-suite-comfyui</a>2. ComfyUI-Impact-Pack — <a target="_blank" rel="ugc" href="https://github.com/ltdrdata/ComfyUI-Impact-Pack">https://github.com/ltdrdata/ComfyUI-Impact-Pack</a>3. rgthree-comfy — <a target="_blank" rel="ugc" href="https://github.com/rgthree/rgthree-comfy">https://github.com/rgthree/rgthree-comfy</a>4. ComfyUI_essentials — <a target="_blank" rel="ugc" href="https://github.com/cubiq/ComfyUI_essentials">https://github.com/cubiq/ComfyUI_essentials</a>5. ComfyUI-Image-Saver — <a target="_blank" rel="ugc" href="https://github.com/alexopus/ComfyUI-Image-Saver">https://github.com/alexopus/ComfyUI-Image-Saver</a>6. ComfyUI-SeedVR2_VideoUpscaler (only for the optional Upscale) — <a target="_blank" rel="ugc" href="https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler">https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler</a>Everything else is ComfyUI core. ComfyUI v0.37.0 or newer is required (Qwen-Image 2.1 nodes).━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━🚀 How to Use1. Download the 3 model files into the folders above. The loaders already use these exact file names.2. In the CONTROL PANEL pick MODE: 1 Everyday · 2 Fitted outfit · 3 Swimwear · 4 Lingerie.3. Press Queue. A new random image is made every run.Optional:• Subject source = 2 and type a scene in "My own idea" (for example: full body, red satin dress, rooftop bar at golden hour)• Upscale: tick it in the switch on the left• Several images: raise Batch count next to the Queue button• Person box: the default is "Korean woman in her mid 20s" — change it to any adult you like━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⚙️ Settings &amp; Parameters• Size: 1792×2240 (4:5 portrait) · Sampler: euler / simple · Steps: 25 · CFG: 1.0• Seed: randomize each run (switch to "fixed" in the Seed node to repeat an image)• Expander: Qwen3-VL 8B, temperature 0.7, max 400 tokens, plus 3 small clean-up steps• Output: PNG with Civitai metadata, saved to ComfyUI/output/qwen21_glamour/&lt;mode&gt;/━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━💡 Performance Tips• Base image 1792×2240: about 70 s on an RTX 5080 16 GB (first run is slower while models load). Upscale adds about 30 s.• Upscale is OFF by default so first runs work on 16 GB VRAM / 32 GB RAM. The 7B upscale model needs about 48 GB RAM; if you turn it on with less, use the 3B model.• Want it faster? Put the Viggle Turbo LoRA for Qwen-Image 2.1 into the empty Optional LoRA slot and set steps to 6 (not tested with this workflow's tuning): <a target="_blank" rel="ugc" href="https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo">https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo</a> — credit: Viggle (optional, not included)• Pairs well with "Qwen Image 2.1 Fix v1.0" by Envy (optional, not included, not needed): <a target="_blank" rel="ugc" href="https://civarchive.com/models/2957332">https://civarchive.com/models/2957332</a>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━🔗 Cross-linksAdult version (18+, lingerie / topless / nude, same engine and control panel): <a target="_blank" rel="ugc" href="https://civarchive.com/models/2967745">https://civarchive.com/models/2967745</a> . Follow my profile for more ComfyUI workflows.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━📝 Notes &amp; AI Disclosure• All images are AI-generated with Qwen-Image 2.1 and show fictional adult people — no real person is depicted.• Clothing guards are prompt-based: check every image before you post it. Discard anything unclear or cropped.• Content rating for the showcase images: PG-13.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⭐ Found this useful?• Like if it saved you time• Comment your results — I read every one• Follow for new ComfyUI workflows, all tested on 16 GB VRAM━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⚖️ Model Attribution &amp; LicensingBuilt with Qwen. Qwen-Image 2.1 by the Qwen team (Alibaba) — model files from Comfy-Org/Qwen-Image-2.1 on Hugging Face; please read the licence on that repository. Prompt expander: Qwen3-VL 8B (same repository).• SeedVR2 (upscale): ByteDance-Seed, Apache-2.0; ComfyUI node by numz• Node packs: WAS Node Suite (MIT), ComfyUI-Impact-Pack (GPL-3.0), rgthree-comfy (MIT), ComfyUI_essentials (MIT), ComfyUI-Image-Saver (MIT)• Optional, not included: Qwen Image 2.1 Fix v1.0 by Envy (Civitai) · Viggle Turbo LoRA for Qwen-Image 2.1 by Viggle (Hugging Face)Workflow JSON: CC0 Public Domain (free to reuse, no credit required).🔗 Workflow by Thinni — feedback welcome!

Qwen-Image 2.1 Glamour Portrait — 4-Mode Auto-Prompt Workflow (SFW, 16GB)

First release: 4-mode auto-prompt workflow, one control panel, no LoRA needed.

Files with SHA256: 743d76286988bfb8a30abc6ea9784c4122cfe02cf3e553a03b1df27fcbc77cea