A METHOD FOR INTEGRATING GENERATIVE ARTIFICIAL INTELLIGENCE WITH THE GRASSHOPPER PARAMETRIC DESIGN ENVIRONMENT FOR ARCHITECTURAL FORM CREATION

Abstract

The purpose of this article is to analyze and summarize the experience of integrating generative artificial intelligence (Stable Diffusion, Midjourney, Krea AI) with the parametric design environment in the Grasshopper application for architectural form creation and to identify the advantages that arise in the process of such integration. The study examines the possibilities of generative artificial intelligence as a tool for expanding the potential of parametric design, in particular in the search for new compositional solutions, tectonics, rhythm, and overall architectural expressiveness. Existing approaches to integrating generative artificial intelligence into architectural practice are studied, in particular methods that use screen capture with subsequent real-time image generation based on specified (textual) prompts using Stable Diffusion and Krea AI tools. Research methods include analysis of current scientific publications, comparative analysis of existing tools, generalization of practical cases, and description of work processes to systematize information and identify key aspects of integrating artificial intelligence into parametric design. The research results demonstrate the potential for creating a closed ecosystem that combines parametric design, information modeling, and real-time visualization tools. It has been established that integrated technologies such as Rhino.Inside provide a continuous and non-destructive form-creation process with maximum flexibility and speed of changes to the project. Conclusions. The integration of generative artificial intelligence with parametric design tools significantly expands the creative capabilities of architects, allowing them to quickly and iteratively evaluate architectural solutions, improving the quality and expressiveness of architectural concepts.