Application and Optimization Strategy of AIGC in Intelligent Jewelry Design

With the rapid development of Artificial Intelligence Generated Content (AIGC) technology, the field of jewelry design has undergone unprecedented transformation. This study explores the applications and optimization strategies of AIGC in jewelry design, focusing on prompt engineering, parameter tuning, human-AI collaboration design, and post-optimization. First, it introduces advanced prompt engineering techniques, utilizing multi-dimensional prompts and optimized algorithms to enhance design precision. Subsequently, the study discusses parameter tuning and dataset optimization methods, such as super-resolution and noise adjustment, to improve the quality of generated images. Furthermore, it analyzes interactive mechanisms and reinforcement learning frameworks within human-AI collaboration design. Finally, the study elucidates key post-processing and refinement technologies for AIGC-generated designs to ensure they meet practical production standards. Looking ahead, while AIGC is poised to democratize personalized customization, challenges regarding artistic integrity and copyright must be addressed. This study concludes by providing strategic recommendations to facilitate the broader adoption of AIGC in jewelry design.