Explainable AI-assisted creative system for visual communication design: based on diffusion models and user intent understanding

At present, visual communication design AI assistant tools have problems such as user intention understanding deviation, unexplainable generated results, fragmented interaction and low cross-module collaboration efficiency.This paper proposes an interpretable AI assistant creative system integrating diffusion model, user intention understanding and advanced communication technology.Its core is DesignXAI with the logic of intent transfer-controllable generation-process interpretation-collaborative optimisation.Experiments show the system outperforms mainstream models, with 91% intention understanding accuracy, 89.3 user satisfaction and 0.87 intention-result semantic consistency, providing an efficient intelligent auxiliary method.