ReActor | Fast Face Swap

1. What is the ComfyUI ReActor Face Swap Workflow?#

The ComfyUI ReActor Face Swap workflow enables seamless face swapping in images and videos using advanced face detection, swapping, and enhancement models. This ReActor Face Swap implementation produces natural, high-quality results while providing flexible restoration and upscaling options.

Latest Updates#

Recent updates have brought significant enhancements to ReActor Face Swap workflow. Support for GPEN 1024/2048 restoration models improves face quality, while updates to video processing and overall performance optimization enable faster face-swapping operations.

2. Benefits of ComfyUI ReActor Face Swap:#

• Produces realistic face replacements while maintaining natural facial expressions, lighting, and texture
• Offers flexible restoration features with customizable enhancement settings
• Includes upscaling support to improve image and video resolution for clearer outputs
• Delivers smooth video outputs using frame interpolation for fluid motion

3. How to Use the ComfyUI ReActor Face Swap Workflow#

3.1 Generation Methods with ComfyUI ReActor Face Swap#

Primary Method: Video-to-Image Face Replacement#

• Inputs:
  • Target Video: Loaded via the Load Video (Upload) node
  • Source Image: Loaded via the Load Image node
• Procedure:
  • Run the ReActor Face Swap workflow by clicking Queue Prompt for high-quality results
  • The final video will be saved using the Video Combine node

Alternative Methods#

The ReActor Face Swap workflow supports both multi-face and image-only processing. For multiple face swap, adjust the input_faces_index parameter in the Fast Face Swap node to target specific faces (e.g., 0,1,2). For image-only operations, simply use the Load Image node instead of Load Video (Upload) for your target input.

4. Nodes and Parameters Reference of ComfyUI ReActor Face Swap#

Load Video (Upload) Node#

• Purpose: Loads the target video for face swapping
• Key Parameters:
  • force_rate: Adjusts the frame rate for video extraction
  • select_every_nth: Controls frame selection frequency
    • Lower values: More frames, smoother but longer processing
    • Higher values: Fewer frames, faster but choppier
  • skip_first_frames: Skips specified number of initial frames
    • Useful for trimming input video start
• Trade-offs: Balance between video smoothness and processing time
  

Load Image Node#

• Purpose: Loads the source image containing the face to swap
• Key Parameters:
  • image: Path to the source face image
    • Ensure high-quality, clear face images for best results
• Trade-offs: Image quality directly impacts swap results

Fast Face Swap Node#

• Purpose: Performs the face swapping operation
• Key Parameters:
  • swap_model: Face swapping model selection
    • inswapper_128.onnx: Default model optimized for quality
  • facedetection: Face detection algorithm choice
    • retinaface_resnet50: High accuracy, slower
    • retinaface_mobile0.25: Faster, lower precision
  • face_restore_visibility: Restoration blend strength (0.1–1.0)
    • Higher: Stronger restoration, potential over-smoothing
    • Lower: Subtle restoration, preserves original details
  • codeformer_weight: Detail preservation balance (0.0–1.0)
    • Higher: Smoother results, less detail
    • Lower: More details, potential artifacts
  • input_faces_index: Specifies faces to swap in multi-face processing
• Trade-offs: Balance between quality, speed, and accuracy
  

Face Booster Node#

• Purpose: Enhances and restores swapped face before integration
• Key Parameters:
  • interpolation: Enhancement method selection (e.g., Bicubic)
  • visibility: Restoration intensity (0.1–1.0)
    • Higher: Stronger enhancement but may over-process
    • Lower: Subtle enhancement, more natural look
  • codeformer_weight: Detail balance (0.0–1.0)
    • Higher: Smoother, less detail
    • Lower: More detail, possible artifacts
• Trade-offs: Enhanced quality vs natural appearance
  

Load Upscale Model Node#

• Purpose: Loads AI upscaling model for resolution enhancement
• Key Parameters:
  • model_name: Upscaling model selection (e.g., RealESRGAN_x4plus.pth)
• Trade-offs: Higher resolution vs memory usage

Upscale Image Node#

• Purpose: Applies upscaling to processed images
• Key Parameters:
  • upscale_model: Selected model application
  • image: Target for upscaling
• Trade-offs: Quality improvement vs processing time
  

Video Combine Node#

• Purpose: Combines processed frames into final video
• Key Parameters:
  • frame_rate: Output video frame rate
    • Higher: Smoother playback, more frames needed
    • Lower: Choppier but faster processing
  • filename_prefix: Custom prefix for output file
  • save_output: Controls video saving to specified path
• Trade-offs: Output quality vs file size
  

5. More Information#

For updates, model details, and ReActor Face Swap workflow support, please visit the official GitHub Repository https://github.com/Gourieff/comfyui-reactor-node.