AI Face Swap Battle: PuLID vs InstantID

In this tutorial, Wei from My AI Force compares three advanced AI face-swapping technologies: PuLID, InstantID, and IP-Adapter’s FaceID-V2, using a ComfyUI workflow. These technologies are built on the InsightFace library, which is utilized for face recognition, detection, and alignment. The video explains the setup process, including downloading and installing necessary nodes and models, configuring the ComfyUI, and troubleshooting common issues. Wei demonstrates how to generate face-swapped images using a reference image of Scarlett Johansson for comparison. The tutorial includes detailed instructions on importing and configuring models, setting parameters, and running the workflow. Wei evaluates the performance of each technology based on four dimensions: prompt fit, face luminosity, face similarity, and face detail. InstantID emerges as the most effective, followed by FaceID-V2, with PuLID being the least effective but still notable. The video concludes with a scoring guide and encourages viewers to test the technologies themselves and share their feedback. This comprehensive comparison helps users decide which AI face-swapping technology suits their needs best, considering factors like resource consumption and effectiveness.