Research on the Construction of an AI Platform for Haipai New Year Paintings Based on the Stable Diffusion Model

This study explores the application of the Stable Diffusion Models (SD) in generating Haipai New Year paintings and investigates the approaches and methods for constructing an intelligent creative platform. By leveraging digital intelligence technology, this research aims to promote the innovative development of Haipai New Year paintings. The study employs model fine-tuning and technological innovation by integrating the Low-Rank Adaptation (LoRA) and ControlNet models into the SD, optimizing the quality and style of generated images to ensure consistency with the Haipai New Year painting style. Based on this model, an interactive and participatory intelligent painting creation platform is designed and developed. The key innovation of this research lies in the integration of the Stable Diffusion model with LoRA and ControlNet, introducing a novel approach to model fine-tuning through parameter blending. The significance of this study lies in its breakthrough in the digital revitalization of Haipai New Year paintings by leveraging advanced artificial intelligence technologies. The findings highlight the potential of AI in enhancing the visibility and sustainability of traditional cultural heritage. Using Haipai New Year paintings as a case study, this research offers practical insights for future interdisciplinary studies in cultural preservation.