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    ⚡ Ultra Pro Face Swap 4K Pipeline — Dual Restoration + ESRGAN | ComfyUI - v1.0
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    # ⚡ Ultra Pro Face Swap — 4K Pipeline v4.0

    > The most complete face swap workflow on CivitAI.

    > Dual restoration engine + 4K ESRGAN upscaling — all in one click.

    ---

    ## 🔥 Why This Workflow?

    Most face swap workflows stop at the swap.

    This one doesn't stop until it's 4K.

    | Feature | Basic Workflows | ⚡ Ultra Pro |

    |---|---|---|

    | Face Restoration | ❌ or GFPGAN only | ✅ GFPGAN + FaceBoost pass |

    | Output Resolution | 512–1024px | ✅ HD 1536px + 4K 4096px |

    | ESRGAN Upscaling | ❌ | ✅ 8x Face-optimized |

    | Source Preparation | 1 step | ✅ 3-stage pipeline |

    | Outputs | 1 file | ✅ HD + 4K simultaneously |

    | Nodes | 5–9 | ✅ 18 (fully documented) |

    ---

    ## 🧩 Pipeline Overview

    ```

    Source Face → [512px] → [1024px] ──────────────┐

    Target Image → [2048px] ──────────► 🔄 ReActor FaceSwap

    + FaceBoost (GFPGAN)

    + CodeFormer 0.75

    ┌───────────────────┤

    ▼ ▼

    💾 HD 1536px 🚀 ESRGAN 8x

    (instant output) │

    📐 Final 4096px

    💾 4K Output

    ## ⚙️ Key Settings

    | Node | Setting | Default | Range |

    |---|---|---|---|

    | Face Swap | codeformer_weight | 0.75 | 0.5 – 0.9 |

    | Face Swap | restore_visibility | 1.0 | 0.8 – 1.0 |

    | FaceBoost | codeformer_weight | 0.70 | 0.5 – 0.85 |

    | Final Scale | resolution | 4096px | 1024 – 4096 |

    > Tip: Swap looks plastic? Lower codeformer to 0.5

    > Tip: Multiple faces? Change input_faces_index (0, 1, 2...)

    ---

    ## 📦 Requirements

    Extensions:

    - ✅ [ReActor Node](https://github.com/Gourieff/comfyui-reactor-node)

    Models (4 files):

    | Model | Path | Size |

    |---|---|---|

    | inswapper_128.onnx | models/insightface/ | 256 MB |

    | GFPGANv1.4.pth | models/facerestore_models/ | 348 MB |

    | 8x_NMKD-Faces_160000_G.pth | models/upscale_models/ | 67 MB |

    Specs: 6GB VRAM minimum · 8GB recommended for 4K

    ---

    ## ⚡ Performance

    | GPU | Time |

    |---|---|

    | RTX 3060 | ~8–12 sec |

    | RTX 3080 | ~4–7 sec |

    | RTX 4090 | ~2–4 sec |

    > Need speed? Bypass nodes 8–10 for HD-only mode (3–5 sec on any GPU)

    ---

    ## 💬 Support

    Drop a comment if you hit any issues — I respond fast.

    If this saved you hours of work, a ⭐ goes a long way!

    Description

    ## 📋 Version History

    ---

    ### ⚡ v4.3.0 — Current Release

    Stability Fix

    - Fixed ReActorFaceBoost node — correctly configured as settings-only node (no image input)

    - Removed incorrect image connection to FaceBoost

    - FACE_BOOST output now properly feeds into ReActorFaceSwap enhancement slot

    ---

    ### 🔧 v4.2.0

    Compatibility Fix

    - Fixed interpolation value: 'lanczos''Lanczos' (case-sensitive ComfyUI requirement)

    - Replaced unavailable upscale model with 8x_NMKD-Faces_160000_G.pth

    - Switched to face-optimized 8x upscaler for superior portrait results

    ---

    ### 🔗 v4.1.0

    Pipeline Architecture Fix

    - Fixed critical type mismatch: FACE_BOOST output was incorrectly routed to ImageUpscaleWithModel (expects IMAGE)

    - Corrected FaceBoost role: now feeds as enhancement input to ReActorFaceSwap, not post-processor

    - Fixed ESRGAN upscale input to receive SWAPPED_IMAGE directly from ReActorFaceSwap

    ---

    ### 🚀 v4.0.0 — Initial Release

    Full Pipeline Build

    - 18-node professional workflow

    - Dual restoration: GFPGAN (inline) + ReActorFaceBoost (enhancement pass)

    - 3-stage source preparation: 512px → 1024px

    - 2048px target preparation for maximum detail preservation

    - 8x ESRGAN face-optimized upscaling

    - Dual output: HD 1536px + 4K 4096px simultaneously

    - 6 color-coded node groups

    - Full in-workflow documentation (Guide + Requirements + Pro Tips)

    ---

    ### 🗑️ Deprecated (from base workflow)

    | What | Why Removed |

    |---|---|

    | center crop on source | Was cutting face edges |

    | 768px source optimization | Replaced with 1024px |

    | codeformer_weight: 0.5 | Raised to 0.75 for sharper results |

    | Inconsistent 1316×1365 output | Replaced with clean 4096×4096 |