【摘要】 针对传统文创符号提取表层化与转化周期长的问题，提出基于人工智能生成内容（AIGC）的文创产品参数化创新机制。以马桥文化为例，提取器物形态、色彩体系与文化寓意3个维度，构建结构化提示词的语义映射数据库。引入图像扩散模型与ControlNet边缘特征约束，搭建“语义输入―形态控制―三维映射”的自动化节点工作流。该机制有效打破了文创设计的同质化与效率瓶颈，为数字文化遗产的现代商业转译提供了可量化落地的新范式。更多还原

【Abstract】 To address the superficial extraction of cultural symbols and the long conversion cycles in traditional cultural product design, this study proposes an innovative parameterized mechanism based on Artificial Intelligence Generated Content(AIGC). Taking Maqiao culture as a case study, dimensions of morphology, color systems, and cultural implications are extracted to construct a semantic mapping database of structured prompts. By integrating the image diffusion model and ControlNet edge constraints, an automated node-based workflow of “semantic input-morphological control-3D mapping” is established. This mechanism effectively breaks through the bottlenecks of homogenization and inefficiency, providing a quantifiable and practical new paradigm for the modern commercial translation of digital cultural heritage.更多还原