用微调版Stable Diffusion生成创新桥梁设计，辅助人类设计师灵感迸发。
Aided design of bridge aesthetics based on Stable Diffusion fine-tuning
- 通过Textual Inversion、Dreambooth等四类微调方法训练桥梁图像模型。
- 微调后模型可生成大量新颖桥梁类型，显著提升创意产出效率。
- 适合建筑/桥梁设计师快速获取视觉灵感，推动艺术与技术融合。
本文尝试利用Stable Diffusion微调技术辅助桥梁形态创新。构建了真实桥梁照片数据集，并采用Textual Inversion、Dreambooth、Hypernetwork和Lora四种方法对Stable Diffusion进行微调。所有方法均能捕捉数据集图像的核心特征，实现Stable Diffusion的个性化定制。微调后的模型不仅具备绘图能力，更融入了设计者的创新思维，可生成大量新颖的桥梁设计方案，为人类设计师提供丰富灵感。实验表明，该技术可作为创意引擎，成为人类设计师的强力倍增器。
原文摘要 · Abstract (English)
Stable Diffusion fine-tuning technique is tried to assist bridge-type innovation. The bridge real photo dataset is built, and Stable Diffusion is fine tuned by using four methods that are Textual Inversion, Dreambooth, Hypernetwork and Lora. All of them can capture the main characteristics of dataset images and realize the personalized customization of Stable Diffusion. Through fine-tuning, Stable Diffusion is not only a drawing tool, but also has the designer's innovative thinking ability. The fine tuned model can generate a large number of innovative new bridge types, which can provide rich inspiration for human designers. The result shows that this technology can be used as an engine of creativity and a power multiplier for human designers.
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