Research Article

Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model

Volume: 6 Number: 1 June 30, 2025
EN

Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model

Abstract

This study utilizes the DALL-E artificial-intelligence (AI) model to generate both traditional and modern architectural visuals that follow the Kıyıköy Conservation Master Plan for the historic coastal town of Kıyıköy, Türkiye. The process has two stages. First, key features of traditional architecture—such as morphology, materials, and design types—are extracted from the plan and used as text prompts; DALL-E then creates visual representations of heritage structures. Next, the prompts are adjusted to incorporate contemporary design goals while respecting constraints on height, façade materials, setbacks, roof shapes, and window-door ratios. A five-point compliance framework, based directly on the conservation plan, is used to evaluate each output: (1) building height and number of stories, (2) lot width and distance to neighbors, (3) roof type, (4) façade materials, and (5) window-door ratios and openness. Figure 4b meets all standards, while Figures 4a, 4c, and 4d meet four criteria, falling short only in fenestration proportions. The results demonstrate that DALL-E, guided by regulation-aware prompts, can quickly generate concepts that adhere to conservation rules, emphasizing its usefulness for heritage-sensitive, rule-based design projects. Incorporating zoning and morphological constraints directly into prompts provides a new, reproducible approach for integrating generative AI into preservation-focused architectural workflows.

Keywords

Thanks

We thank Kıyıköy Municipality for providing the notes of the conservation master plan of Cumhuriyet Street in Kıyıköy, Türkiye.

References

  1. S. Seneviratne, D. Senanayake, S. Rasnayaka, R. Vidanaarachchi, J. Thompson, DALLE-URBAN: Capturing the urban design expertise of large text to image transformers, International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Sydney, 2022, pp. 1–9.
  2. M. S. Watanabe, Algorithmic Design/Induction Design: Three Kinds of Flow/Three Stations (2005), https://www.makoto-architect.com/kashiwanohaCSt.html, Accessed 23 Feb 2023.
  3. I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, Y. Bengio, Generative adversarial nets, Advances in Neural Information Processing Systems 27 (2014) 1–9.
  4. D. Bolojan, The Hitchhiker’s Guide to Artificial Intelligence: AI and Architectural Design (2021), www.digitalfutures.world, Accessed 23 Feb 2023.
  5. B. Yıldırım, D. Demirarslan, Evaluation of the benefits of artificial intelligence applications to the design process in interior architecture, Humanities Sciences 15 (2) (2020) 62–80.
  6. C. Uzun, M. B. Çokaloğlu, A. İnceoğlu, GAN as a generative architectural plan layout tool: A case study for training DCGAN with Palladian Plans, and evaluation of DCGAN outputs, ITU Journal of the Faculty of the Architecture 17 (2) (2020) 185–198.
  7. B. Sağlam, T. Çelik, Architecture and utopia: Experiments in generative design with artificial intelligence, Mimarlık, 429 (2023) 59–64.
  8. V. Paananen, J. Oppenlaender, A. Visuri, Using text-to-image generation for architectural design ideation, International Journal of Architectural Computing 22 (3) (2024) 458–474.

Details

Primary Language

English

Subjects

Artificial Intelligence (Other)

Journal Section

Research Article

Early Pub Date

June 29, 2025

Publication Date

June 30, 2025

Submission Date

May 13, 2025

Acceptance Date

June 27, 2025

Published in Issue

Year 2025 Volume: 6 Number: 1

APA
Memiş, S., Zağra, H. Ç., & Özden Omuzlu, S. (2025). Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model. Amesia, 6(1), 33-46. https://doi.org/10.54559/amesia.1730023
AMA
1.Memiş S, Zağra HÇ, Özden Omuzlu S. Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model. Amesia. 2025;6(1):33-46. doi:10.54559/amesia.1730023
Chicago
Memiş, Samet, Hatice Çiğdem Zağra, and Sibel Özden Omuzlu. 2025. “Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model”. Amesia 6 (1): 33-46. https://doi.org/10.54559/amesia.1730023.
EndNote
Memiş S, Zağra HÇ, Özden Omuzlu S (June 1, 2025) Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model. Amesia 6 1 33–46.
IEEE
[1]S. Memiş, H. Ç. Zağra, and S. Özden Omuzlu, “Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model”, Amesia, vol. 6, no. 1, pp. 33–46, June 2025, doi: 10.54559/amesia.1730023.
ISNAD
Memiş, Samet - Zağra, Hatice Çiğdem - Özden Omuzlu, Sibel. “Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model”. Amesia 6/1 (June 1, 2025): 33-46. https://doi.org/10.54559/amesia.1730023.
JAMA
1.Memiş S, Zağra HÇ, Özden Omuzlu S. Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model. Amesia. 2025;6:33–46.
MLA
Memiş, Samet, et al. “Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model”. Amesia, vol. 6, no. 1, June 2025, pp. 33-46, doi:10.54559/amesia.1730023.
Vancouver
1.Samet Memiş, Hatice Çiğdem Zağra, Sibel Özden Omuzlu. Traditional and Modern Architectural Design Generation for Kıyıköy in Türkiye Utilizing the DALL-E Artificial Intelligence Model. Amesia. 2025 Jun. 1;6(1):33-46. doi:10.54559/amesia.1730023


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