FaceID is a face-swapping and facial feature transfer technique used in AI image generation to apply the facial characteristics of one person onto another subject while preserving the overall composition, pose, and styling of the target image. It allows creators to maintain specific facial identities across different generated images or to replace faces in existing imagery with controlled precision.

The technology works by extracting facial features from a source image and mapping them onto the face structure present in a target or generated image. Unlike simple face-swapping tools that replace the entire head region, FaceID attempts to blend the source facial characteristics naturally into the target context, preserving lighting, expression nuance, and integration with the surrounding scene. This makes it particularly valuable for maintaining character consistency across AI-generated content or for creating variations of existing imagery with different facial identities.

FaceID techniques are commonly used in character design workflows, personalized content generation, and scenarios where specific facial features need to be maintained across multiple generated outputs. As with all face-manipulation technology, FaceID raises ethical considerations around consent, identity, and the potential for misuse in creating misleading or deceptive content.