═══════════════════════════════════════════════════════════════════════════════ THE 'O' FACE ═══════════════════════════════════════════════════════════════════════════════ ─────────────────────────────────────────────────────────────────────────────── IDENTITY ─────────────────────────────────────────────────────────────────────────────── Base model Qwen-Image Generation mode not declared by the author Checkpoint not determined — verify before use Category Character / subject Author ColdNorthMenace Source https://civitai.com/models/1946078 Provenance CivitAI · model 1946078 · version 2210683 ─────────────────────────────────────────────────────────────────────────────── WEIGHTS ─────────────────────────────────────────────────────────────────────────────── File [QWEN] OFace - gasm.safetensors Version [QWEN] OFace - The 'Gasm Size 562.7 MB Format SafeTensor / unknown precision SHA256 1eaa776b4969fbf936bbfd67c80adef3779301246201610ad9a08a13f89cf6f5 Published 2025-09-13 ─────────────────────────────────────────────────────────────────────────────── TRIGGER WORDS ─────────────────────────────────────────────────────────────────────────────── › "having an orgasm" ─────────────────────────────────────────────────────────────────────────────── RECOMMENDED SETTINGS ─────────────────────────────────────────────────────────────────────────────── The author did not publish specific settings. No author settings were published. Community baseline: cfg 4.0 without an accelerator - `true_cfg_scale=4.0` in Qwen's own diffusers snippet for Qwen-Image-2512, and cfg 4.0 in the Comfy-Org templates image_qwen_Image_2512, image_qwen_Image_2512_controlnet and template_qwen_Image_2512_360_lora. cfg 1.0 whenever a Lightning/Turbo LoRA is loaded (ModelTC README CLI examples `--steps 8 --cfg 1.0` / `--steps 4 --cfg 1.0`; the base image_qwen_image, 2-step Turbo and union-control templates all sample at cfg 1.0). Editing: the Edit-2511 template uses cfg 3.0 with a CFGNorm node; the Edit-2509 template uses cfg 1.0 with a 4-step Lightning LoRA. Illustration-LoRA template: cfg 3.5. Layered template: cfg 2.5. CivitAI's sdcpp Qwen worker defaults to cfgScale 2.5 (developer.civitai.com notes "Qwen wants ~2.5")., lora_strength 1.0. Every official Comfy-Org Qwen template loads its LoRAs at strength 1.0 - verified in image_qwen_image (Lightning 8-step), image_qwen_Image_2512, image_qwen_Image_2512_controlnet, image_qwen_image_2512_with_2steps_lora, image_qwen_image_edit_2509, image_qwen_image_edit_2511, image_qwen_image_union_control_lora (two LoRAs, both 1.0), template_qwen_Image_2512_360_lora (two LoRAs, both 1.0) and template_qwen_image_illustration_lora. Community practice for stacking concept LoRAs is to keep the summed strength around 0.9-1.2 (CivitAI article 18798 "Qwen-Image NSFW LoRA Notes": "The sum should be in the range of 0.9 to 1.2")., resolution Official aspect-ratio table, identical in the Qwen-Image and Qwen-Image-2512 model cards: 1:1 1328x1328, 16:9 1664x928, 9:16 928x1664, 4:3 1472x1104, 3:4 1104x1472, 3:2 1584x1056, 2:3 1056x1584. 1328x1328 is the EmptySD3LatentImage default in the base, 2512, 2512-ControlNet and 2-step Turbo templates. Exceptions in official templates: the 360-panorama template uses 2048x1024, the illustration-LoRA template 1024x1024, the Layered template 640x640. CivitAI's sdcpp Qwen worker defaults to 1024x1024., sampler euler + simple, denoise 1.0 - verified as the sampler/scheduler/denoise triple in every Comfy-Org Qwen template inspected (base, 2512, 2512 ControlNet, 2-step Turbo, Edit-2509, Edit-2511, union control, 360 panorama, illustration LoRA, Layered). All of them also insert a ModelSamplingAuraFlow node before the sampler, because ComfyUI's built-in shift for the qwen_image model type is only 1.15 (comfy/supported_models.py). The shift value is NOT uniform: 3.1 in image_qwen_image, image_qwen_Image_2512, image_qwen_Image_2512_controlnet, template_qwen_Image_2512_360_lora, image_qwen_image_union_control_lora and image_qwen_image_edit_2511; 3.0 in image_qwen_image_edit_2509 and image_qwen_image_2512_with_2steps_lora; 7.0 in template_qwen_image_illustration_lora; 1.0 in image_qwen_image_layered. Treat 3.1 as the T2I default, not a universal constant., steps 50 for Qwen- Image-2512 without an accelerator (official diffusers `num_inference_steps=50` and the KSampler default in image_qwen_Image_2512, image_qwen_Image_2512_controlnet and the 360 template). Editing: 40 steps in the Edit-2511 template; 4 steps in the Edit-2509 template (which ships with a 4-step Lightning LoRA). Illustration-LoRA template: 45. Layered template: 20. With accelerators the step count is exactly what the LoRA filename says: 4 or 8 for Lightning, 2 for the Wuli 2-step Turbo, always at cfg 1.0. Community full- distill checkpoint: 15 steps at cfg 1.0 per ComfyUI docs, acceptable at 10.. ─────────────────────────────────────────────────────────────────────────────── ADOPTION & POPULARITY ─────────────────────────────────────────────────────────────────────────────── Downloads 3,875 Rating 100% positive (100/100) Comments 4 Published 357 days ago Download rate 4.4/day since release Adoption rank #85 of 150 in this collection (Modest) Momentum rank #57 of 150 by download rate (Steady) Adoption tier is the percentile of total downloads within this collection; momentum is the percentile of downloads-per-day since release. Momentum is ranked rather than measured against a fixed rate, because this base model is itself new and every LoRA looks fast on an absolute scale. Both numbers are CivitAI's, read on the scrape date at the foot of this file. ─────────────────────────────────────────────────────────────────────────────── CHAINING / STACKING ─────────────────────────────────────────────────────────────────────────────── Stacks with others not stated The author gave no chaining guidance. The rules below are the general Qwen-Image ones, not anything specific to this LoRA. General Qwen-Image rules that apply here (see REFERENCE.txt): • Stack by wiring LoraLoaderModelOnly nodes in series on the MODEL line. This is the officially shipped pattern: template_qwen_Image_2512_360_lora chains Qwen- Image-2512-Lightning-4steps-V1.0-fp32 at 1.0 into qwen-360-diffusion-2512-int8-bf16-v2 at 1.0. • One accelerator LoRA maximum. Every official template loads exactly one Lightning/Turbo LoRA, and ComfyUI's Qwen-Image docs record that the fully-distilled checkpoint and the lightx2v 8-step LoRA are not usable together. • Match the accelerator to the checkpoint family: Qwen- Image-2512-Lightning on 2512, Qwen-Image-Lightning on the August base, the Edit-2509 subfolder LoRAs on Edit-2509, Qwen-Image- Edit-2511-Lightning on Edit-2511. lightx2v distilled and shipped these separately per family. • When any accelerator LoRA is in the chain, move the sampler to that LoRA's step count and cfg 1.0. Leaving cfg at 4.0 with a distilled LoRA is the most common bad-output cause. • Order used by the official templates: accelerator LoRA adjacent to the base loader, concept/style LoRA after it, then ModelSamplingAuraFlow, then the sampler (the 360-panorama template's exact order). • Keep the summed strength of concept/style LoRAs roughly in the 0.9-1.2 band (CivitAI article 18798). The accelerator LoRA sits outside that budget at its own 1.0. • Control LoRAs (qwen_image_union_diffsynth_lora.safetensors) chain like ordinary LoRAs and combine with an accelerator: the official 'Qwen- Image Union Control' template stacks the control LoRA with Qwen-Image- Lightning-4steps-V1.0, both at 1.0, sampling at 4 steps / cfg 1.0 / shift 3.1. • Be conservative stacking older Edit LoRAs on Edit-2511: the Qwen README says community LoRA effects were merged into the 2511 base, so those LoRAs can double-apply. • The author never states which weight family this targets. Mismatch is silent degradation, essentially never a hard error. Every Qwen-Image weight family resolves to the same ComfyUI model class (comfy.model_base.QwenImage, unet_config image_model "qwen_image", latent_format Wan21, built-in sampling shift 1.15 - comfy/supported_models.py ─────────────────────────────────────────────────────────────────────────────── PROS ─────────────────────────────────────────────────────────────────────────────── + Well established — 3,875 downloads. [source: CivitAI stats] + Positively received — 100 thumbs-up with no down-votes. [source: CivitAI stats] + Explicit trigger word(s) — having an orgasm — so the effect can be turned on and off from the prompt. [source: model metadata] ─────────────────────────────────────────────────────────────────────────────── CONS & CAVEATS ─────────────────────────────────────────────────────────────────────────────── - Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description] - Thin documentation — expect trial and error. [source: description length] ─────────────────────────────────────────────────────────────────────────────── COMPATIBILITY WARNING ─────────────────────────────────────────────────────────────────────────────── Mismatch is silent degradation, essentially never a hard error. Every Qwen- Image weight family resolves to the same ComfyUI model class (comfy.model_base.QwenImage, unet_config image_model "qwen_image", latent_format Wan21, built-in sampling shift 1.15 - comfy/supported_models.py), and the bf16/fp8 file sizes are identical across Qwen-Image, Qwen-Image-2512, Qwen-Image-Edit, Edit-2509 and Edit-2511. So a LoRA trained on any of them will key-match and load against any other. Where keys genuinely do not match, ComfyUI only logs `lora key not loaded: ` (comfy/lora.py:93) and continues; a shape mismatch logs `WARNING SHAPE MISMATCH WEIGHT NOT MERGED` (comfy/lora.py:498) and skips that tensor. Both are console warnings; the render still completes. Verified consequence: lightx2v re-distilled and re-released Lightning weights separately for Qwen-Image, Qwen-Image-Edit, Edit-2509, Edit-2511 and Qwen-Image-2512, so accelerators are family- specific in practice. The one documented case worse than mild degradation is precision-level, not family-level: bf16-trained LoRAs on the naive qwen_image_fp8_e4m3fn.safetensors base produce grid artifacts, stated outright in the ModelTC/Qwen-Image-Lightning README. Whether an Edit LoRA on the T2I base merely no-ops (no ref_latents conditioning is supplied) or a T2I LoRA on an Edit checkpoint transfers as a style push is inference from the architecture, not a sourced statement - see unverified. ─────────────────────────────────────────────────────────────────────────────── AUTHOR'S DESCRIPTION ─────────────────────────────────────────────────────────────────────────────── A series of LoRA's to achieve more believable expressions. ─────────────────────────────────────────────────────────────────────────────── VERSION NOTES ─────────────────────────────────────────────────────────────────────────────── Just a realistic orgasm face. ─────────────────────────────────────────────────────────────────────────────── EXAMPLE MEDIA ─────────────────────────────────────────────────────────────────────────────── 6 preview(s) in ./example_images/ — community results for this LoRA. Videos keep a matching _poster.jpg still frame. No prompts are recorded below: CivitAI's public API flags these posts as having generation metadata but does not return it, so the prompts cannot be scraped. Open the model page to read them. 01_image.jpeg (image, 1024x1600) 02_image.jpeg (image, 1024x1600) 03_image.jpeg (image, 1600x1024) 04_image.jpeg (image, 1600x1024) 05_image.jpeg (image, 1600x1024) 06_image.jpeg (image, 1024x1600) ─────────────────────────────────────────────────────────────────────────────── HOW TO USE (COMFYUI) ─────────────────────────────────────────────────────────────────────────────── 1. Update ComfyUI first - Qwen-Image support is native, but each new family member (Edit-2509, Edit-2511, 2512) needed a fresh release, so an old build will not detect the checkpoint. 2. Put the base checkpoint in `ComfyUI/models/diffusion_models/` - e.g. `qwen_image_2512_fp8_e4m3fn.safetensors` (20.43 GB, the file the official 2512 template names) or `qwen_image_2512_bf16.safetensors` (40.86 GB), from huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/split_files/diffusion_models. Edit checkpoints come from Comfy-Org/Qwen-Image-Edit_ComfyUI. Load with `Load Diffusion Model` (UNETLoader), not a checkpoint loader - these are unet-only files. 3. Put `qwen_2.5_vl_7b_fp8_scaled.safetensors` (9.38 GB) in `ComfyUI/models/text_encoders/` and load with `Load CLIP` (CLIPLoader), type `qwen_image`. Every official template uses exactly this pair. 4. Put `qwen_image_vae.safetensors` in `ComfyUI/models/vae/` and load with `Load VAE`. 5. Put LoRA `.safetensors` in `ComfyUI/models/loras/`. Subfolders show up as `subfolder/name.safetensors` in the dropdown - useful for separating t2i / edit / accelerator LoRAs. 6. Load with `LoraLoaderModelOnly`, patching only the MODEL line between the UNETLoader and ModelSamplingAuraFlow. Every official Comfy-Org Qwen template uses LoraLoaderModelOnly; the two-output `LoraLoader` also works but its CLIP branch is a no-op for DiT-only LoRAs. 7. Insert `ModelSamplingAuraFlow` after the LoRA chain. Use 3.1 for T2I and Edit-2511, 3.0 for the 2-step Turbo and Edit-2509 templates. Without this node ComfyUI uses the model's built-in shift of 1.15 and results differ from every published example. 8. Set KSampler to euler / simple / denoise 1.0, then steps+cfg per the accelerator (50/4.0 plain, 8/1.0 or 4/1.0 with Lightning, 2/1.0 with the 2-step Turbo). Latent from `EmptySD3LatentImage` at an official resolution. 9. Low-VRAM alternative: the `ComfyUI-GGUF` custom node with `Unet Loader (GGUF)` and a Qwen-Image/2512 GGUF (unsloth/Qwen-Image-2512-GGUF). LoRA loading still goes through LoraLoaderModelOnly, placed after the GGUF loader. 10. For Edit workflows, swap CLIPTextEncode for `TextEncodeQwenImageEdit` (single image) or `TextEncodeQwenImageEditPlus` (2509/2511) and add a `CFGNorm` node as the Edit-2511 template does; the LoRA chain sits in the same place. ─────────────────────────────────────────────────────────────────────────────── Scraped by lorakit on 2026-09-05 01:04 UTC. Stats and description are the author's; pros/cons are derived from the evidence tagged beside each line. ───────────────────────────────────────────────────────────────────────────────