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