This repository is a node package for ComfyUI that enhances image processing workflows by providing intelligent face alignment and prompt matching capabilities. It allows for the automatic detection and alignment of faces in images, ensuring high precision and efficiency in character image creation.
- Supports multiple face detection methods, allowing the tool to automatically select the most effective one for optimal results.
- Offers various composition modes, enabling users to create portraits, half-body, and full-body images tailored to different artistic needs.
- Integrates gender recognition and prompt matching features, streamlining the process of selecting appropriate prompts based on the detected gender and scene context.
Context
This tool is designed specifically for ComfyUI, focusing on the tasks of face alignment and prompt matching. Its primary purpose is to facilitate character image processing by intelligently recognizing faces and automating the composition process, thus improving workflow efficiency and accuracy.
Key Features & Benefits
The tool boasts several practical features that enhance user experience, such as smart face detection that utilizes multiple algorithms (e.g., insightface, OpenCV, MediaPipe, dlib) to ensure the best detection outcome. Automatic face alignment based on facial landmarks guarantees that images are composed perfectly, while a precise positioning system based on eye location aids in achieving professional-quality portraits.
Advanced Functionalities
Advanced capabilities include a smart scaling algorithm that adjusts face sizes while keeping the center fixed, and boundary checks that alert users when characters exceed canvas limits, preventing unintended cropping. Additionally, the tool offers a prompt selector that provides preset templates for various portrait scenarios, enhancing the creative workflow by allowing for easy customization.
Practical Benefits
This tool significantly improves the workflow within ComfyUI by providing users with enhanced control over image composition and quality. By automating critical tasks such as face alignment and prompt selection, it allows artists to focus more on creative aspects rather than technical adjustments, ultimately leading to a more efficient and streamlined image processing experience.
Credits/Acknowledgments
The tool is developed by CHAOSEA, and it utilizes pre-trained models such as the dlib face landmark detector for precise facial feature identification. The repository is open-source, ensuring that contributions from the community can enhance its capabilities and functionality over time.