In the digital age, Chinese traditional culture faces dual challenges of inheritance and innovation. This study explores the application of artificial intelligence (AI) in traditional cultural innovation, focusing on jewelry. The research systematically reviews the complete process of using Guofeng AI to enhance Chinese aesthetic jewelry design, including the collection of traditional cultural elements, training of the LORA model, and design output via the ComfyUI AI tool. Leveraging AI 3D technology, 2D designs are transformed into 3D models and further refined through manual optimization. The final outputs, enriched with multi-modal representations, dynamically showcase the essence of Chinese traditional culture. Additionally, the study establishes a quantitative evaluation framework for assessing the effectiveness of AI-generated jewelry designs. This framework provides designers with a standardized tool to analyze and optimize their creations. Results indicate that the proposed GuofengAI outperforms several mainstream generative AI models in key aspects, such as performance, cultural integration, and operational efficiency. This model not only introduces innovative breakthroughs in the field of jewelry design but also opens new pathways for the preservation and modernization of traditional Chinese culture.

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GuoFengAI: Constructing an AI-Generative LoRA Model for Chinese Aesthetic Jewelry

  • Zhilu Cheng,
  • Jing Zhao,
  • Likai Chen,
  • Yiyao Yan

摘要

In the digital age, Chinese traditional culture faces dual challenges of inheritance and innovation. This study explores the application of artificial intelligence (AI) in traditional cultural innovation, focusing on jewelry. The research systematically reviews the complete process of using Guofeng AI to enhance Chinese aesthetic jewelry design, including the collection of traditional cultural elements, training of the LORA model, and design output via the ComfyUI AI tool. Leveraging AI 3D technology, 2D designs are transformed into 3D models and further refined through manual optimization. The final outputs, enriched with multi-modal representations, dynamically showcase the essence of Chinese traditional culture. Additionally, the study establishes a quantitative evaluation framework for assessing the effectiveness of AI-generated jewelry designs. This framework provides designers with a standardized tool to analyze and optimize their creations. Results indicate that the proposed GuofengAI outperforms several mainstream generative AI models in key aspects, such as performance, cultural integration, and operational efficiency. This model not only introduces innovative breakthroughs in the field of jewelry design but also opens new pathways for the preservation and modernization of traditional Chinese culture.