Qwen and Krea 2 + SAM3 Face Inpainting Workflow — Qwen Image 2512 V1.0

🎨 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! ✨👫🖼️