Application of Neural Networks in Building Architecture and Optimization of Latent Diffusion Models for This Purpose

This article explores the application of an innovative neural network-based approach, namely latent diffusion models, in the field of architectural design and visualization. Traditional methods of creating architectural visualizations are often labor-intensive, while AI-powered automated assistants enable the optimization of their creation process, focusing human attention on creativity and innovation. In this regard, the use of generative neural networks, particularly latent diffusion models, opens new perspectives for the rapid and efficient creation of diverse architectural visualizations. Latent diffusion models allow achieving high-quality generation of images with complex structures, which is crucial for architectural visualizations characterized by a large number of details and variations. The article describes the operating mechanism of latent diffusion models, as well as the specifics of their application for generating architectural objects, especially for prototyping purposes. Furthermore, the article considers the Low-Rank Adaptation (LoRA) method for fine-tuning pre-trained latent diffusion models. The LoRA method allows efficiently adapting large models to specific tasks with minimal computational costs. In the context of architectural design, this means the possibility of quickly adjusting a general model to generate buildings of a specific style or type, such as modern skyscrapers or historical buildings. The use of the Low-Rank Adaptation method significantly expands the possibilities of rapid autonomous creation of architectural visualizations, allowing architects and designers to quickly generate and explore various project options. The article includes examples of the successful application of latent diffusion models using the LoRA method for generating architectural visualizations, demonstrating the high quality and diversity of the results obtained. The research results demonstrate the significant potential of using latent diffusion models for application in the field of architectural design, providing a new level of automation and creativity.