Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion
Mindful architecture is poised to foster sustainable behavior and simultaneously mitigate the physical and mental health challenges arising from the impacts of global warming. Previous studies demonstrate that a substantial educational gap persists between architecture and mindfulness. However, rece...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/6/972 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850204965952290816 |
|---|---|
| author | Chaniporn Thampanichwat Tarid Wongvorachan Limpasilp Sirisakdi Pornteera Chunhajinda Suphat Bunyarittikit Rungroj Wongmahasiri |
| author_facet | Chaniporn Thampanichwat Tarid Wongvorachan Limpasilp Sirisakdi Pornteera Chunhajinda Suphat Bunyarittikit Rungroj Wongmahasiri |
| author_sort | Chaniporn Thampanichwat |
| collection | DOAJ |
| description | Mindful architecture is poised to foster sustainable behavior and simultaneously mitigate the physical and mental health challenges arising from the impacts of global warming. Previous studies demonstrate that a substantial educational gap persists between architecture and mindfulness. However, recent advancements in text-to-image AI have begun to play a significant role in generating conceptual architectural imagery, enabling architects to articulate their ideas better. This study employs DALL-E, Midjourney, and Stable Diffusion—popular tools in the field—to generate imagery of mindful architecture. Subsequently, the architects decoded the architectural characteristics in the images into words. These words were then analyzed using natural language processing techniques, including Word Cloud Generation, Word Frequency Analysis, and Topic Modeling Analysis. Research findings conclude that mindful architecture from text-to-image AI perspectives consistently features structured lines with sharp edges, prioritizes openness with indoor–outdoor spaces, employs both horizontal and vertical movement, utilizes natural lighting and earth-tone colors, incorporates wood, stone, and glass elements, and emphasizes views of serene green spaces—creating environments characterized by gentle natural sounds and calm atmospheric qualities. DALL-E is the text-to-image AI that provides the most detailed representation of mindful architecture. |
| format | Article |
| id | doaj-art-62c73ff1c15d4f0fa50eb67922c58508 |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-62c73ff1c15d4f0fa50eb67922c585082025-08-20T02:11:12ZengMDPI AGBuildings2075-53092025-03-0115697210.3390/buildings15060972Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable DiffusionChaniporn Thampanichwat0Tarid Wongvorachan1Limpasilp Sirisakdi2Pornteera Chunhajinda3Suphat Bunyarittikit4Rungroj Wongmahasiri5School of Architecture, Art and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, ThailandDepartment of Educational Psychology, University of Alberta, Edmonton, AB T6G 2G5, CanadaSchool of Architecture, Art and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, ThailandSchool of Architecture, Art and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, ThailandSchool of Architecture, Art and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, ThailandSchool of Architecture, Art and Design, King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, ThailandMindful architecture is poised to foster sustainable behavior and simultaneously mitigate the physical and mental health challenges arising from the impacts of global warming. Previous studies demonstrate that a substantial educational gap persists between architecture and mindfulness. However, recent advancements in text-to-image AI have begun to play a significant role in generating conceptual architectural imagery, enabling architects to articulate their ideas better. This study employs DALL-E, Midjourney, and Stable Diffusion—popular tools in the field—to generate imagery of mindful architecture. Subsequently, the architects decoded the architectural characteristics in the images into words. These words were then analyzed using natural language processing techniques, including Word Cloud Generation, Word Frequency Analysis, and Topic Modeling Analysis. Research findings conclude that mindful architecture from text-to-image AI perspectives consistently features structured lines with sharp edges, prioritizes openness with indoor–outdoor spaces, employs both horizontal and vertical movement, utilizes natural lighting and earth-tone colors, incorporates wood, stone, and glass elements, and emphasizes views of serene green spaces—creating environments characterized by gentle natural sounds and calm atmospheric qualities. DALL-E is the text-to-image AI that provides the most detailed representation of mindful architecture.https://www.mdpi.com/2075-5309/15/6/972mindful architecturemindfulnessarchitecturetext-to-image AI |
| spellingShingle | Chaniporn Thampanichwat Tarid Wongvorachan Limpasilp Sirisakdi Pornteera Chunhajinda Suphat Bunyarittikit Rungroj Wongmahasiri Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion Buildings mindful architecture mindfulness architecture text-to-image AI |
| title | Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion |
| title_full | Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion |
| title_fullStr | Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion |
| title_full_unstemmed | Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion |
| title_short | Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion |
| title_sort | mindful architecture from text to image ai perspectives a case study of dall e midjourney and stable diffusion |
| topic | mindful architecture mindfulness architecture text-to-image AI |
| url | https://www.mdpi.com/2075-5309/15/6/972 |
| work_keys_str_mv | AT chanipornthampanichwat mindfularchitecturefromtexttoimageaiperspectivesacasestudyofdallemidjourneyandstablediffusion AT taridwongvorachan mindfularchitecturefromtexttoimageaiperspectivesacasestudyofdallemidjourneyandstablediffusion AT limpasilpsirisakdi mindfularchitecturefromtexttoimageaiperspectivesacasestudyofdallemidjourneyandstablediffusion AT pornteerachunhajinda mindfularchitecturefromtexttoimageaiperspectivesacasestudyofdallemidjourneyandstablediffusion AT suphatbunyarittikit mindfularchitecturefromtexttoimageaiperspectivesacasestudyofdallemidjourneyandstablediffusion AT rungrojwongmahasiri mindfularchitecturefromtexttoimageaiperspectivesacasestudyofdallemidjourneyandstablediffusion |