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ComfyUI_FaceEnhancer

2

Last updated
2025-04-17

ComfyUI_FaceEnhancer is a custom node for ComfyUI that utilizes the GFPGAN model to enhance and restore faces in images and videos. Its primary function is to improve facial details while providing options for processing multiple images or videos in batch.

  • This tool allows users to enhance facial features significantly, making it ideal for projects that require high-quality facial restoration.
  • It supports batch processing, enabling users to apply enhancements to entire folders of images, streamlining workflows.
  • The node can also process videos, enhancing faces frame by frame while maintaining the overall video quality.

Context

The ComfyUI_FaceEnhancer is designed to integrate seamlessly with ComfyUI, providing advanced facial enhancement capabilities. By leveraging the GFPGAN model, it aims to fix and improve facial details in both static images and dynamic video content.

Key Features & Benefits

The tool stands out due to its ability to restore and enhance facial features with precision. Users can adjust parameters such as the enhancement scale and choose whether to process only the center face, allowing for tailored results based on specific needs.

Advanced Functionalities

In addition to single image processing, the FaceEnhancer offers features for video enhancement and folder processing. This means users can efficiently enhance multiple images or entire videos without needing to process each file individually, thus saving time and effort.

Practical Benefits

This tool significantly improves workflow efficiency by allowing batch processing and video enhancements, which are essential for users needing to handle large volumes of media. The enhancements lead to higher quality outputs, making it particularly useful for artists, content creators, and professionals in the visual arts.

Credits/Acknowledgments

The development of this node is based on the GFPGAN project, with contributions from various developers in the community. The tool follows open-source principles, allowing users to benefit from and contribute to its ongoing improvement.