✨ 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
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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.
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✨ 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
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📦 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
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⬇️ Download Links (Hugging Face)
• https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors
• SeedVR2 (optional): https://huggingface.co/numz/SeedVR2_comfyUI/tree/main
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🧩 Required Custom Nodes (all installable with ComfyUI-Manager)
1. WAS Node Suite — https://github.com/WASasquatch/was-node-suite-comfyui
2. ComfyUI-Impact-Pack — https://github.com/ltdrdata/ComfyUI-Impact-Pack
3. rgthree-comfy — https://github.com/rgthree/rgthree-comfy
4. ComfyUI_essentials — https://github.com/cubiq/ComfyUI_essentials
5. ComfyUI-Image-Saver — https://github.com/alexopus/ComfyUI-Image-Saver
6. ComfyUI-SeedVR2_VideoUpscaler (only for the optional Upscale) — https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler
Everything else is ComfyUI core. ComfyUI v0.37.0 or newer is required (Qwen-Image 2.1 nodes).
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🚀 How to Use
1. 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
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⚙️ Settings & 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/<mode>/
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💡 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): https://civarchive.com/models/2957332
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📋 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.
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🔗 Cross-links
Adult version (18+, lingerie / topless / nude, same engine and control panel): https://civarchive.com/models/2967745 . Follow my profile for more ComfyUI workflows.
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⚠️ 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.
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📝 Notes & 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.
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⭐ 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
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⚖️ Model Attribution & Licensing
Built 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!
Description
New in v1.1: two switches on the CONTROL PANEL. FAST: 0 Quality (default, 25 steps, ~68 s on RTX 5080) / 1 Fast (16 steps, no extra download, ~40 s, about 1.7x quicker; use Quality for finals). BEAUTY: 0 Natural (default) / 1 Beauty (polished soft-glam look, clearly adult late-20s faces). Resolution unchanged (1792x2240). Defaults FAST=0 BEAUTY=0 render exactly like v1.0. Thanks for the feedback!
FAQ
Comments (5)
The drawing process is too slow and inefficient. The face doesn't look beautiful enough.
Thanks for trying it and for the honest feedback!
Speed: the defaults are tuned for max quality (1792×2240, 25 steps, ~80 s on a 5080), and the very first run also loads the 8B prompt expander. For speed, drop the Viggle Turbo LoRA for Qwen-Image 2.1 into the empty "Optional LoRA" slot and set steps to 6 (link in the description) — that's a big cut in render time.
Face: the prompts aim for a natural, real-photo look (pores, matte skin, no retouch), so faces come out less "polished" on purpose. For a glossier beauty look, edit the Person box, e.g. "beautiful Korean fashion model in her mid 20s, flawless makeup", or add your own beauty/face LoRA in the same slot.
I'm looking at a faster preset and a "beauty" option for the next version — appreciate the push!
Thanks for the honest feedback — it went straight into v1.1, out now on this page.
- Speed: new FAST switch on the control panel. FAST = 1 renders in about 40 s instead of ~68 s (16 steps, no extra download). For your final keepers, switch back to Quality (FAST = 0).
- Faces: new BEAUTY switch. BEAUTY = 1 adds a polished soft-glam look (makeup, glowier skin, flattering light). You can also steer the face yourself in the Person box.
Both default to 0, so the workflow still works exactly like before unless you flip them. Let me know how it looks for you!
We take the smaller model and work with 6–12 GB.
Thanks for trying it! 🙏 This version is tuned for 16 GB, but a lower-VRAM path is on my list. A few things that already help on 6–12 GB cards:
• Use the FAST switch (16 steps) — same graph, much lighter run.
• Turn off the prompt expander (Qwen3-VL) if you write your own prompts — it's the second-biggest model in the graph.
• Keep the default resolution and let ComfyUI offload (don't force high-VRAM mode).
Which "smaller model" are you using (GGUF / other quant) and which GPU? If you share it, I'll test it and add an official 8–12 GB preset in the next version.