✨ Qwen-Image 2.1 Glamour Portrait — 4-Mode Auto-Prompt Workflow (SFW) — 12 GB+ (recommended 16 GB)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.⚡ Speed at a glance• Default = max quality: 1792×2240, 25 steps, about 70 s per image on an RTX 5080 16 GB. The first run is slower while the 8B prompt expander loads; later runs reuse it.• Faster: use the FAST switch in the CONTROL PANEL (v1.1) — 1 Fast (16 steps, no LoRA) renders in about 40 s, vs about 68 s at Quality (measured, RTX 5080, 32 test images) — about 1.7x quicker. For final images we still recommend Quality: in our test, Fast occasionally softened or doubled a limb/edge on 2 of 32 renders (both from the same MODE1 test seeds), an effect absent at Quality's 25 steps.• Smaller images render faster too: set the Empty Latent Image size to 1280×1600 (about half the pixels of the default).💻 Requirements — 12 GB+ (recommended 16 GB)• GPU memory: 12 GB+ (recommended 16 GB). System RAM: 32 GB.• What we measured: on a test build of this workflow (it had the optional Fix LoRA loaded; this release file does not load it), ComfyUI was started with --reserve-vram 4 to EMULATE a 12 GB card. Peak device memory was 13.2–14.2 GB and an image took 121–180 s. That was an emulation on a 16 GB card, not a physical 12 GB card, and the release workflow itself was not re-measured — we do not claim it needs less.• 8 GB: expect it to be slow; we have not tested it. Below 8 GB: not tested.• The speed figures elsewhere on this page (about 70 s and 40 s on an RTX 5080 16 GB) were measured on v1.1 and were not re-measured for v1.2.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━✨ 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✅ FAST switch (new in v1.1) — 0 Quality (25 steps, default, no LoRA) · 1 Fast (fewer steps, still no LoRA).✅ BEAUTY switch (new in v1.1) — 0 Natural (default) · 1 Beauty (adds one line to the expander for a more polished, clearly adult look)✅ 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• FAST: 0 Quality (default) · 1 Fast (fewer steps, no download needed).• BEAUTY: 0 Natural (default) · 1 Beauty — no extra download━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⚙️ 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 768 tokens, plus 5 small clean-up steps (3 text clean-ups, a refusal / cut-off guard and a subject-clause trim)• 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 fit the 12 GB+ requirement above with 32 GB RAM. The 7B upscale model needs about 48 GB RAM; if you turn it on with less, use the 3B model.• 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>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━📋 Version History• v1.0 — first release: 4-mode auto-prompt workflow, one control panel, no LoRA needed.• v1.1 — adds two panel switches: FAST (0 Quality, 25 steps, no LoRA, about 68 s · 1 Fast, 16 steps, no LoRA, about 40 s) and BEAUTY (0 Natural · 1 Beauty, adds a polished-look line to the prompt, about 70 s, same cost as Quality). Resolution is 1792×2240 at every FAST level (1280×1600 is still available as a manual Empty Latent Image tip, see Performance Tips). Defaults unchanged (FAST=0, BEAUTY=0 render identically to v1.0). Tested on 16 cases x 2 seeds x 2 pages at 100% crop (32 Fast-arm renders, 16 Beauty-arm renders): 30/32 Fast renders (14/16 cases) were clean at 16 steps; 2/32 (both MODE1 test seeds) showed occasional ghosting/doubling on a limb or edge, an effect confirmed absent at Quality's 25 steps for the same seeds — use Quality if you need a guaranteed-clean result. Beauty read as more polished and clearly adult in all 16 cases.• v1.2 — text-path update only; models, sampler, steps and the FAST / BEAUTY switches are unchanged. The built-in scene lists now describe neutral, open poses (no kneeling, folded-arm or head-back lines). One directional-light sentence was added to the prompt expander. A guard falls back to the raw scene line when the expander refuses or cuts off, and a clean-up step removes subject re-statements, skin-texture words and invented hand placements. The expander limit went from 400 to 768 tokens, skin wording in the prompts is positive-only (matte, dry, smooth, even), and hands are described only when the scene line does. The Optional LoRA slot is still empty and bypassed.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━🔗 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.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⚠️ Known limitations (please read)In our testing: outfits described as opaque or lined can render sheer or see-through; skin can look glossy or oily; a hand can land near the groin; eyes can come out closed. These are model-level behaviours and the prompt wording does not fully fix them — review every image before you post it and discard anything that is off.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━📝 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)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)

Text-path update. The built-in scene lists now describe neutral, open poses (no kneeling, folded-arm or head-back lines). One directional-light sentence was added to the prompt expander. A guard falls back to the raw scene line when the expander refuses or cuts off, and a clean-up step removes subject re-statements, skin-texture words and invented hand placements. Expander limit 400 -&gt; 768 tokens; skin wording in the prompts is positive-only. Models, sampler, steps and the FAST / BEAUTY switches are unchanged. The requirement label is now 12 GB+ (recommended 16 GB): 12 GB was emulated on a 16 GB card with --reserve-vram 4, not tested on a physical 12 GB card. Known limitations are listed in the description.

Files with SHA256: 82a08180f9c19448371361be74a9b0807ec70ed4aabcf87bf27265a418af21e4