Research on the Innovation and Development of Su Embroidery Design Based on LoRA Fine-Tuning Model
- DOI
- 10.2991/978-94-6463-815-8_18How to use a DOI?
- Keywords
- Su embroidery; LoRA fine-tuning model; Design innovation; Artificial intelligence; Traditional craft
- Abstract
This article discusses the contemporary Suzhou embroidery craftsmanship path based on the innovative development of artificial intelligence and the technical research of the LoRA fine-tuning model. It studies the assistance of artificial intelligence technology to Suzhou embroidery technology from a detailed perspective. The LoRA fine-tuning model is used in the process of improving Suzhou embroidery design to enhance the quality and design innovation of Suzhou embroidery. While increasing the efficiency of artificial work with the LoRA fine-tuning model, it also adds to the artistic and cultural connotations of Suzhou embroidery. Finally, it elaborates on how to apply the LoRA fine-tuning model in Suzhou embroidery design to improve the efficiency of artificial work and innovate the design. Based on a certain innovative practice, it has achieved good application results. Summarizing the experience with examples can provide effective reference and inspiration for the modernization development of traditional craftsmanship.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jianwei Xu AU - Zehao Liang PY - 2025 DA - 2025/08/13 TI - Research on the Innovation and Development of Su Embroidery Design Based on LoRA Fine-Tuning Model BT - Proceedings of the 2025 4th International Conference on Art Design and Digital Technology (ADDT 2025) PB - Atlantis Press SP - 150 EP - 165 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-815-8_18 DO - 10.2991/978-94-6463-815-8_18 ID - Xu2025 ER -