摘要
传统的包装设计往往依赖于设计师的经验和创意,这在一定程度上影响了包装设计的效率及多样化。而生成式人工智能(AIGC)技术的发展极大推进了包装领域图像创新设计。本研究以Stable Diffusion(SD)模型为基础,通过深度学习算法提取大量的图像数据,并抽取其特征,利用Diffusion Model(扩散模型),采用图像风格迁移技术,同时结合消费者需求和品牌形象,生成出具有创新性的包装设计图像及定制化的包装设计方案。通过实验案例验证,本研究可为包装设计领域提供新的维度和思路,推动其向更加智能化、高效化的方向发展。
Traditional packaging design often relies on the experience and creativity of designers,which affects the efficiency and diversity of packaging design.The development of AIGC technology has greatly promoted the innovative image design in the packaging field.Based on the Stable Diffusion(SD)model,a large amount of image data and features were extracted through deep learning algorithms.Using the Diffusion model and image style transfer techniques,combined with consumer needs and brand image,innovative packaging design images and customized packaging design solutions were generated.By exploring the application of the SD model in innovative design of packaging images,new dimensions and ideas were provided for the field of packaging design,promoting the development of packaging image design towards a more intelligent and efficient direction.
作者
纪向宏
夏宇滋
JI Xiang-hong;XIA Yu-zi(School of Art and Design,Tianjin University of Science and Technology,Tianjin,300222,China)
出处
《印刷与数字媒体技术研究》
北大核心
2025年第6期79-88,共10页
Printing and Digital Media Technology Study
基金
2026年度天津市艺术科学规划项目——津派非遗文化基因图谱构建与数智化传承研究(No.C26005)。
关键词
SD模型
包装
图像
创新设计
SD model
Packaging
Image
Innovative design
