Summary
PhotoMaker is an advanced tool designed to create realistic human photos by utilizing a method known as Stacked ID Embedding. Developed by a team from Nankai University, ARC Lab at Tencent PCG, and the University of Tokyo, PhotoMaker leverages recent advancements in text-to-image generation to synthesize high-quality images based on text prompts. This tool is particularly efficient in preserving identity (ID) fidelity and offers flexible text controllability, making it suitable for a wide range of applications, including generating photos from artistic paintings or old photographs and performing stylizations while maintaining the original ID attributes.
