Addressing the practical challenges faced by Han embroidery—a national-level intangible cultural heritage—such as the interruption of its transmission

the stagnation of its expressive forms

and its disconnect from modern aesthetics

this study explores feasible pathways and interactive application models for empowering the innovative design of Han embroidery through Artificial Intelligence Generated Content (AIGC) technology.First

through field surveys and literature reviews

a systematic database of core Han embroidery patterns—including both images and semantic data—was constructed

and their artistic characteristics were deconstructed. Second

based on this database

AIGC technology was employed to conduct pattern generation experiments

with the generated results optimized through parameter tuning. Finally

the generated patterns were applied to cultural and creative product design

forming an iterative and optimized interactive design loop.The experiments successfully generated innovative patterns that blend the traditional essence of Han embroidery with modern aesthetic characteristics

leading to a series of home textiles

fashion accessories

and dynamic pattern designs

thereby validating the effectiveness of AIGC in assisting Han embroidery pattern innovation. AIGC technology can significantly optimize traditional design processes

providing new technical pathways and creative tools for the modern transformation of intangible cultural heritage

and offering a reference model for the digital preservation and living transmission of other intangible cultural heritage projects.