@article{article_1736051, title={COMPARISON OF AI-GENERATED CONCEPTUAL INTERIOR DESIGNS USING STANDARDIZED PROMPTS IN VARIOUS AI MODELS}, journal={Turkish Online Journal of Design Art and Communication}, volume={15}, pages={1365–1386}, year={2025}, DOI={10.7456/tojdac.1736051}, author={Kahraman, Mehmet Uğur and Şekerci, Yaren and Kılıç, Enes Can}, keywords={AI-generated interior visuals, Text-to-image AI models, Interior design evaluation, AI in design visualization, AI models comparison}, abstract={This study evaluates the performance of three widely-used text-to-image AI models—DALL-E, MidJourney, and Stable Diffusion—in generating interior design visuals. Five standardized prompts, covering essential design elements such as architectural features, style, furniture, lighting, textiles, accessories, and layout, were provided to each AI model. The resulting visuals were then assessed by 15 experienced professionals and academics with over 10 years of expertise in interior design. Using a detailed rating system, the study found that MidJourney consistently outperformed the others, excelling in categories like design style, textiles, and lighting. DALL-E proved effective in generating architectural features but struggled with finer details, particularly in textiles and lighting. Stable Diffusion lagged behind in overall performance, especially in categories like layout and furniture. The study highlights the importance of prompt specificity in shaping AI-generated visuals and suggests areas for future improvement in AI models, particularly in complex design tasks.}, number={4}, publisher={Deniz YENGİN}