  Creative story illustration requires a consistent interplay of multiple
characters or objects. However, conventional text-to-image models face
significant challenges while producing images featuring multiple personalized
subjects. For example, they distort the subject rendering, or the text
descriptions fail to render coherent subject interactions. We present
Multi-Subject Personalization (MSP) to alleviate some of these challenges. We
implement MSP using Stable Diffusion and assess our approach against other
text-to-image models, showcasing its consistent generation of good-quality
images representing intended subjects and interactions.
