Research on Naoge IP Image Design Based on AIGC

ZHANG Meixuan; QIAN Shufang

doi:10.19554/j.cnki.1001-3563.2026.06.041

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (6) : 446-457. DOI: 10.19554/j.cnki.1001-3563.2026.06.041

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Research on Naoge IP Image Design Based on AIGC

ZHANG Meixuan, QIAN Shufang^*

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Abstract

The work aims to explore the application of AIGC technology in the modern activation of traditional culture, and analyze its potential in cultural digital inheritance with the Naoge IP image as an example. Firstly, traditional visual elements of the Naoge IP image were extracted by deep learning, and the data were processed by combining with AIGC. Secondly, the LoRA model was trained to generate patterns, shapes and accessories that conformed to the modeling characteristics of Naoge. Finally, the generated material was integrated into the innovative design to promote the digital reproduction of the traditional IP image. Results showed that through the classification and induction of Naoge samples, image annotation and Lora model training, the unique style of the Naoge IP image was successfully learned and understood, and innovative designs with cultural characteristics were generated. In conclusion, AIGC technology provides strong support for the innovative design and cultural inheritance of national IP images, and promotes the continuation and activation of traditional culture in the digital age. This technology opens up new possibilities for the digital inheritance of national culture and promotes the creative transformation and development of culture.

Key words

visual communication and media design / Artificial Intelligence Generated Content (AIGC) / Naoge / IP design / digital intelligence model

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ZHANG Meixuan, QIAN Shufang. Research on Naoge IP Image Design Based on AIGC[J]. Packaging Engineering. 2026, 47(6): 446-457 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.041

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