With the continuous growth of China fashion culture among young consumer groups, the contemporary expression of traditional cultural elements has become an important issue in the cultural industry and design academia. However, most existing guochao cultural and creative products remain at the level of graphic reconstruction and symbol appropriation. They lack deep narrative structures based on cultural semantics and systematic methods for morphological innovation. Meanwhile, traditional design processes are costly and time consuming in terms of image generation, style exploration, and morphological evolution. This makes it difficult to meet the demands of a rapidly iterating communication environment. The rise of artificial intelligence generated content has provided new technological momentum for the narrative construction and morphological innovation of guochao cultural and creative products. The cross-modal generation capability, controllable generation mechanism, and style transfer ability of diffusion models enable cultural symbols to undergo structural evolution through generative narrative. This paper integrates design theory, cultural semiotics, and AIGC technology principles, with generative narrative and morphological evolution as the main thread. It constructs an AIGC design model for China fashion cultural and creative products. The model includes cultural semantic extraction, narrative node construction, morphological generation, aesthetic transfer, and user evaluation systems. The research references existing methods for cultural symbol translation and dual perception mechanisms. Through the construction of a China fashion semantic library, diffusion model generation experiments, and practical case applications, the feasibility and effectiveness of the model are verified. The research results show that AIGC can break through the limitations of traditional design processes. It enables the structural, controllable, and continuous contemporary reconstruction of cultural symbols. It also obtains positive aesthetic feedback from young users. The study provides a systematic digital methodology for guochao cultural and creative design. It also provides a new technical path for cultural visualization and digital regeneration of intangible cultural heritage.
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Share and Cite
Li, J., Yue, Q. (2025) AIGC-Driven Generative Narrative and Morphological Evolution in China Fashion Cultural and Creative Design. Journal of Social Development and History, 1(3), 56-64.