Exploring the application path of AIGC technology in the styling design of traditional artifacts: a case study of Song dynasty lacquerware

Lacquerware as a treasure of Chinese craft heritage, integrates rich cultural connotations and practical value. However, the complexity of the production process and the conservatism of the design make it not competitive in the diversified market, thus facing the challenge of being marginalized. In recent years, the rapid development of generative artificial intelligence technology has profoundly transformed many industry sectors. Especially within the design field, AIGC as an assistive tool can greatly improve design efficiency. However, there are fewer studies in the field related to the design innovation of traditional artifacts styling by researchers using AIGC, Therefore, it is necessary to explore an effective ai-assisted design path for the innovation of traditional artifacts styling. Taking Song Dynasty lacquerware as an entry point, this paper aims to explore the application potential of AIGC technology in promoting the styling innovative design of traditional cultural products, introduce an effective application path based on AIGC. According to compare the generation effects of the three most popular image generation software on the market, and the AIGC tool with the best performance is selected to generate modeling samples from three perspectives. Selection of the most representative image samples by means of a questionnaire and construction of 3D models. The experiment shows that the effectiveness and superiority of AIGC in the design of traditional cultural products can greatly improve the efficiency of cultural and creative design, optimize the design process of traditional cultural products, and provide a new path for traditional artifacts to achieve modern transformation.