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## 📋 VERSION NOTES
### V1.0 — Initial Release
- ✅ Full ReActor face-swap pipeline (inswapper_128.onnx)
- ✅ Dual GFPGANv1.4 restoration (FaceBoost + main swap)
- ✅ Smart mask blending via YOLOv8 + SAM
- ✅ Live mask preview node
- ✅ Auto-save output (SwapFace_Result_*.png)
- ✅ All parameters pre-tuned — zero config required
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### 🔜 PLANNED FOR V2
- [ ] Multi-face batch support
- [ ] ControlNet integration for pose-aware swapping
- [ ] Custom mask input option
- [ ] Support for video frame sequences
- [ ] IP-Adapter face consistency mode
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> 💬 Have a feature request? Drop it in the comments — top voted ideas go straight into V2.
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⚡ SWAPFACE PRO V1 — Ultimate ReActor Face Swap Pipeline
> The cleanest, most complete face-swap workflow for ComfyUI. Drop two images. Get cinematic results. No PhD required.
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## 🎯 WHAT THIS WORKFLOW DOES
SwapFace Pro V1 is a fully pre-configured ComfyUI workflow that swaps faces between two images using the ReActor extension with a triple-layer quality pipeline:
- 🔁 Face Swap via inswapper_128.onnx — industry-standard accuracy
- ✨ Dual GFPGANv1.4 Restoration — runs before AND after swap for maximum sharpness
- 🎭 Smart Mask Blending via YOLOv8 + SAM — auto-feathered edges, zero harsh lines
- 💾 Auto-saves to SwapFace_Result_*.png every run
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## 🛠 REQUIRED MODELS
- inswapper_128.onnx → models/insightface/
- GFPGANv1.4.pth → models/facerestore_models/
- face_yolov8m.pt → models/ultralytics/bbox/
- sam_vit_b_01ec64.pth → models/sams/
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## 📦 REQUIRED EXTENSION
Install ComfyUI-ReActor by Gourieff via ComfyUI Manager.
Also install: onnxruntime-gpu, insightface, segment_anything
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## 🚀 HOW TO USE
1. Load your source face image in the SOURCE FACE node
2. Load your target image in the TARGET IMAGE node
3. Click Queue Prompt
4. Done — result appears in FINAL RESULT + saved to output folder
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## 💡 PRO TIPS
- Use high-res, front-facing source faces for best accuracy
- Increase blur_radius to 14–18 in MaskHelper for soft outdoor blending
- Use input_faces_index to target specific faces in group photos
- Match lighting between source and target for seamless results
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> ⭐ If this saved you hours of setup — leave a Like and share your results in the comments! Every piece of feedback helps improve future versions.

