Exploration of digital technology for landscape architecture workflow based on AIGC

In the digital age, AI technology has become a focal point in the field of land-scape architecture, with research primarily focusing on machine learning and neural networks. This study, grounded in the development of generative models and digital landscape technology, employs design thinking to explore the image generation pathways of generative AI models in landscape architecture. The findings indicate that the workflow proposed by general-purpose AI algo-rithms has certain limitations. By leveraging landscape architecture expertise for data augmentation and model fine-tuning, the speed and efficiency of AI-assisted landscape architecture image generation systems can be significant-ly enhanced.