Translated data: In the field of fine-tuning methods for personalized diffusion models, the emergence of the DiffuseKronA model has significantly reduced the number of parameters through the Kronecker product module while enhancing the quality of image synthesis. Compared to LoRA-DreamBooth, DiffuseKronA demonstrates greater stability and interpretability, and excels in parameter efficiency and model stability. This innovation is poised to bring significant advancements to the field of text-to-image generation models.