This tool leverages RetinaFace technology to automatically detect and crop faces within images, enhancing the focus on specified subjects. It is particularly useful for users who need efficient face detection and cropping functionality integrated into their ComfyUI workflows.
- Detects multiple faces within an image, allowing users to specify how many faces to focus on.
- Offers customizable parameters, including padding, placement, and aspect ratio for tailored cropping results.
- Supports integration with CROP_DATA, making it compatible with the WAS node suite for enhanced image processing capabilities.
Context
ComfyUI-AutoCropFaces is a specialized tool designed to enhance the ComfyUI environment by utilizing the RetinaFace model for face detection and cropping. Its primary purpose is to streamline the process of isolating faces in images, which can be particularly beneficial for applications in art generation and photo editing.
Key Features & Benefits
The tool includes several practical features that significantly improve user experience. Users can adjust the number of faces to detect, the starting index for cropping, and the scale of padding added around the faces. Additionally, the placement of the cropped face can be customized, ensuring that the output meets specific aesthetic or compositional requirements.
Advanced Functionalities
One of the advanced capabilities of this tool is its support for CROP_DATA, which allows for seamless integration with the WAS node suite. This functionality enhances the tool's versatility, enabling users to incorporate it into more complex workflows and achieve better results when processing images with multiple faces.
Practical Benefits
By incorporating ComfyUI-AutoCropFaces into their workflow, users can achieve greater control over face cropping, leading to improved quality in their outputs. The tool enhances efficiency by automating the face detection process, allowing artists and creators to focus on other aspects of their projects without manually cropping images.
Credits/Acknowledgments
This tool is a fork and modification of the original Pytorch_Retinaface project by biubug6. It is open-source and available for collaboration and improvement by the community.