✨ 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/diffusion_models/qwen_image_2.1_int8_convrot.safetensors

• 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/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!