🎨 Qwen Image 2512 + SAM3 Face Inpainting Workflow
> Generate stunning portraits with automatic face detail enhancement — using single prompts or batch scheduling.
## ✨ What This Workflow Does
This ComfyUI workflow combines Qwen Image 2512 (a powerful text-to-image model) with SAM3 Smart Inpainter to:
1. 🖼️ Generate high-quality images from text prompts
2. 👤 Automatically find and enhance faces (man + woman) using AI segmentation
3. 🔁 Support single prompt OR batch prompt scheduling for creative variations
4. ⚡ Speed up generation with CacheDiT acceleration
5. 🎯 Use advanced sampling for better results
Perfect for: character portraits, fashion shoots, story illustration, face refinement, and creative batch generation.
## ✨ What's New in V1.1
### 🔁 Auto-Reset Counter (No More Manual Reset!)
- Replaced the old PrimitiveInt node with my new AutoResetInt node
- ✅ Automatically resets to 0 after each generation
- ✅ Also resets if you cancel a generation
- ✅ Want to run multiple batches? Just wait for the first image to finish — the counter resets itself!
- 🎯 No more forgetting to reset — just click "Queue" and go
### ⚙️ Model Format Switch
- Added a simple toggle to choose your model format:
- GGUF — for lower VRAM / quantized setups
- FP8 / BF16 — for full quality on powerful GPUs
- 🎯 Pick what works best for your hardware — no need to edit the workflow
## 📦 Required Custom Nodes
Install these in your ComfyUI/custom_nodes/ folder:
| Node Pack | Purpose | Link |
|-----------|---------|------|
| RES4LYF | Advanced sampler with better quality control | https://github.com/ClownsharkBatwing/RES4LYF |
| SAM3_SmartInpainter | Auto-detect & inpaint faces using SAM3 | https://github.com/majidfida/SAM3_SmartInpainter |
| ComfyUI-CacheDiT | Speed up Qwen Image generation | https://github.com/Jasonzzt/ComfyUI-CacheDiT |
| comfyui_auto_prompt_schedule | Run multiple prompts in one batch | https://github.com/ReinerBforartists/comfyui_auto_prompt_schedule |
### Also Required:
- ComfyUI-Easy-Sam3 or ComfyUI-RMBG (provides the sam3 Python package for SAM3_SmartInpainter)
- Qwen Image model files : qwen_image_vae.safetensors , qwen_2.5_vl_7b_fp8_scaled.safetensors , and your chosen checkpoint (e.g., Qwen-Overcooked_fp8_V2.safetensors )
- SAM3 model : Download sam3.pt from https://huggingface.co/Majidfida/Sam3/tree/main → place in ComfyUI/models/sam3/
## 🔧 How to Use
### Step 1: Install & Setup
1. Clone all required node packs into custom_nodes/
2. Install Python requirements (see each repo's README)
3. Download models and place them in correct folders
4. Restart ComfyUI
### Step 2: Load the Workflow
1. Drag the .json file into ComfyUI
2. Wait for nodes to load (missing nodes will show red)
### Step 3: Choose Your Mode
#### 🎯 Single Prompt Mode (Default)
- Set the toggle true=Single Prompt | false=Batch Prompts → true
- Edit the prompt in the ⚡Single Prompt⚡ node
- Click Queue Prompt
#### 🔄 Batch Prompt Mode
- Set the toggle → false
- Edit prompts in the Input Prompts for Schedule node (format: "0": "prompt text", "30": "next prompt", ... )
- Set max_frames in PromptSchedule node to control how many to generate
- Click Queue Prompt — it will auto-run through your list
### Step 4: Face Inpainting (Automatic)
The workflow automatically:
1. Finds the woman's face → enhances it with prompt: "woman, exquisite detailed face..."
2. Finds the man's face → enhances it with prompt: "man with dark beard, exquisite detailed face..."
3. Blends both back into the main image
💡 Tip : To inpaint different subjects, chain more SAM_SmartInpainter nodes and change the prompt field (e.g., "hat" , "eyes" , "scarf" ).
### Step 5: Adjust Key Settings
| Parameter | Recommended | What It Does |
|-----------|-------------|--------------|
| min_mask_area | 0.001 | Allows tiny faces to be detected |
| crop_padding | 32–128 | Extra space around face for better inpainting |
| inpaint_resolution | 1280 | Higher = more detail in repainted face |
| denoise | 0.3–0.5 | Lower = subtle changes, higher = more creative |
| steps | 6 | Qwen Image works well with low steps |
| cfg | 1.0 | Keep low for Qwen Image |
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## 💡 Pro Tips
🔹 Small or distant faces not detected?
→ Lower min_mask_area to 0.0005 and text_threshold to 0.25
🔹 Inpainting looks blurry?
→ Raise inpaint_resolution to 1280 or 1536
🔹 Edges look harsh?
→ Use blend_mode: feather and increase mask_blur
🔹 Want to inpaint more than faces?
→ Change the SAM prompt to "hat" , "logo" , "hands" — it will find and repaint that area
🔹 Batch generation too slow?
→ Enable CacheDiT and use fp8 models for faster runs
## ⚠️ Important Notes
🔸 This workflow is designed for Qwen Image 2512 — other models may need parameter adjustments
🔸 I do not monitor this post — I may not reply to comments or issues. This is shared for the community to use and improve.
🔸 Always test with one image first before running large batches
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## 🙏 Credits
- Qwen Image 2512 — Alibaba Cloud / Qwen Team
- SAM3 Model — Meta AI Research / Majidfida (HuggingFace)
- RES4LYF — @ClownsharkBatwing
- SAM3_SmartInpainter — @majidfida
- CacheDiT — @Jasonzzt
- Auto Prompt Schedule — @ReinerBforartists
> 🎨 Simple rule : Start with single prompt → get it perfect → then try batch mode for variations.
> If faces aren't found → lower min_mask_area . If results look soft → raise inpaint_resolution .
Happy creating! ✨👫🖼️
