ComfyUI Custom Node for face restoration, known as Facerestore CF, enhances images by restoring facial features using advanced models, including support for the CodeFormer Fidelity parameter. This tool offers a specialized approach to face restoration, making it a valuable asset for users seeking to improve the quality of faces in their AI-generated images.
- Supports face restoration with enhanced fidelity through CodeFormer.
- Automatically handles face detection and cropping for effective restoration.
- Integrates seamlessly into ComfyUI, allowing for straightforward implementation.
Context
Facerestore CF is a custom node designed for ComfyUI that focuses on restoring facial details in images. Its primary function is to improve the quality of faces within AI-generated images, similar to features found in the AUTOMATIC1111 web UI, while also incorporating the CodeFormer Fidelity parameter for enhanced results.
Key Features & Benefits
This tool's standout feature is its ability to utilize advanced face restoration models, including CodeFormer, which significantly enhances the fidelity of restored faces. Additionally, it automates the process of face detection and cropping, allowing users to efficiently prepare images for restoration without manual intervention.
Advanced Functionalities
Facerestore CF includes specialized capabilities such as the integration of multiple face detection models, which ensure that only cropped face images are processed. This allows for more accurate restorations, as the tool can focus specifically on facial features, thus improving the overall quality of the output images.
Practical Benefits
By streamlining the face restoration process, Facerestore CF enhances user workflow within ComfyUI, offering greater control and efficiency. Users benefit from improved image quality and reduced manual effort, allowing them to focus on creative aspects rather than technical details.
Credits/Acknowledgments
This tool is based on the original facerestore custom node and has been adapted by the author to support the CodeFormer Fidelity parameter. The project is open source, and contributions or acknowledgments can be referenced through the GitHub repository.