Text to image: A creative transformation in furniture design with artificial intelligence

Abstract

This study examines the role and impact of generative artificial intelligence in the furniture design process. The study examines the use of artificial intelligence-assisted design tools to analyze how the designs produced with these tools compare with the original designs and evaluates the level of similarity, originality, and creativity. To minimize the risk of artificial intelligence copying verbatim designs that are often processed by platforms, a lesser-known design, Miss Dior: The Medallion Chair was preferred. This method was followed to reduce potential biases and enable a more realistic evaluation. The research covers Microsoft Bing, Adobe Firefly and Leonardo AI, three popular artificial intelligence applications with text-to-visual conversion. The prompts created for the selected furniture were entered into artificial intelligence applications determined within the scope of the experimental research method and the outputs were compared. Especially Leonardo AI produced faster, higher-quality, and more consistent results. Data analysis and the potential to create designs that better meet user needs are features of these tools. However, in design processes, the role of human creativity and artistic thinking is always the main element. Artificial intelligence, on the other hand, should be considered as a tool to support the creative process rather than a replacement for the designer.