This study examines the potential of new artificial intelligence (AI) applications in the field of Persian architectural heritage. In this study, we utilize advanced generative models to utilize Persian architectural features, which are renowned for their intricate ornamentation, as a case study scenario for the preservation of such intricate designs. For this purpose, we compiled about 9,000 images from Wikimedia Commons, covering 90 traditional architectural sites in 13 cities in Iran. In our case, these images were enriched with granular metadata to provide rich contextual information that further assists the training of generative algorithms. This included enriching the metadata with specific architectural features of each picture, its style, and period, as well as offering a comprehensive context for every image.