MagicFace represents a technology for personalized portrait synthesis that operates without training, capable of generating high-fidelity portrait images based on multiple provided concepts. This technology integrates reference concept features at the pixel level into the generated images for personalized customization. It introduces a coarse-to-fine generation process consisting of two phases: semantic layout construction and concept feature injection, achieved through Reference-aware Self-Attention (RSA) and Region-grouped Blend Attention (RBA) mechanisms. This technology excels not only in portrait synthesis and multi-concept portrait customization but also extends to texture transfer, enhancing its versatility and practicality.