MoMA Personalization is a personalized image generation tool based on an open-source Multimodal Large Language Model (MLLM). It focuses on theme-driven personalized image generation, capable of generating high-quality images that preserve the target object features based on reference images and text prompts. MoMA requires no fine-tuning and acts as a plugin model, directly applicable to existing diffusion models. It enhances the detail and prompt fidelity of generated images while maintaining the original model's performance.