This repository provides a plugin for ComfyUI that enhances facial analysis capabilities by introducing a FaceNet implementation, which is suitable for commercial use without licensing issues. It also addresses model pollution problems associated with previous versions of ComfyUI-PuLID-Flux.
- Supports commercial-friendly face analysis with FaceNet, offering a drop-in replacement for InsightFace workflows.
- Integrates seamlessly with other ComfyUI tools like TeaCache and Comfy-WaveSpeed for enhanced performance.
- Provides advanced options for face detection and alignment, ensuring consistent results across different workflows.
Context
This tool is an extension for ComfyUI that focuses on improving facial analysis through the introduction of FaceNet, an alternative to InsightFace. Its primary purpose is to facilitate commercial applications by eliminating licensing restrictions and providing reliable face detection and embedding generation.
Key Features & Benefits
The plugin offers several practical features, including a FaceNet implementation that is ready for commercial use, which means users can utilize it without worrying about licensing fees. Additionally, it supports various caching and speed optimization tools, enhancing the efficiency of workflows in ComfyUI.
Advanced Functionalities
The plugin includes advanced functionalities such as the ability to select a reference face from multiple detected faces, which enhances the accuracy of face embeddings. It also allows users to configure sorting rules for detected bounding boxes and choose different methods for aligning facial features, providing flexibility for various use cases.
Practical Benefits
By integrating this tool into their workflows, users can achieve improved control over facial analysis processes, leading to higher quality outputs and increased efficiency. The compatibility with existing ComfyUI features ensures that users can easily adapt their workflows without significant changes.
Credits/Acknowledgments
The development of this plugin acknowledges contributions from the original authors and related projects, including ToTheBeginning/PuLID, ComfyUI-PuLID-Flux, TeaCache, Comfy-WaveSpeed, and facenet-pytorch, which provides the underlying technology for commercial-friendly face recognition.