DiffuseKronA represents a parameter-efficient fine-tuning approach designed for personalized diffusion models. By introducing an adaptation module based on Kronecker multiplication, it significantly reduces the number of parameters and elevates the quality of image synthesis. This method minimizes sensitivity to hyperparameters, resulting in high-quality images under various hyperparameter conditions, making a significant advancement in the domain of text-to-image generation models.