ComfyUI-KEEP is a specialized tool designed for enhancing facial features in videos and images using the KEEP algorithm, which is inspired by Kalman filtering techniques. This extension integrates seamlessly into the ComfyUI framework, allowing users to perform high-quality face super-resolution on both single images and sequences of video frames.
- High-quality restoration of facial details through the KEEP algorithm.
- Flexible integration with various upscale models for customized enhancement.
- Support for processing both individual images and video frame sequences.
Context
ComfyUI-KEEP serves as a set of custom nodes within the ComfyUI ecosystem, specifically tailored for video face super-resolution tasks. By adopting the KEEP algorithm, it allows users to enhance facial features robustly, making it suitable for applications in video editing, animation, and other visual media that require detailed face restoration.
Key Features & Benefits
The tool offers several practical features that enhance user experience and outcomes. It utilizes the core KEEP model for high-quality facial restoration and allows for flexible integration with any ComfyUI-compatible upscale model. Users can choose different models for background and face enhancement, providing full control over the final output size through a customizable scaling factor.
Advanced Functionalities
ComfyUI-KEEP includes advanced capabilities such as multiface processing and tracking, enabling the enhancement of multiple faces in a single video frame. It also supports various face detection models, such as RetinaFace and YOLOv5, allowing users to select the most suitable detection method for their specific needs.
Practical Benefits
This tool significantly improves workflow and efficiency in ComfyUI by enabling detailed facial enhancements in both static images and dynamic video sequences. By providing robust control over model selection and output parameters, users can achieve higher quality results with greater flexibility, ultimately enhancing the overall quality of their visual projects.
Credits/Acknowledgments
The original KEEP algorithm was developed by Ruicheng Feng, Chongyi Li, and Chen Change Loy, and is cited in their paper presented at the European Conference on Computer Vision (ECCV) 2024. The ComfyUI-KEEP extension builds upon their work and adapts it for broader use within the ComfyUI framework.