| Issue |
E3S Web Conf.
Volume 614, 2025
International Conference on Agritech and Water Management (ICAW 2024)
|
|
|---|---|---|
| Article Number | 05002 | |
| Number of page(s) | 9 | |
| Section | Application of IT Technologies in Ecology and Natural Resource Management | |
| DOI | https://doi.org/10.1051/e3sconf/202561405002 | |
| Published online | 07 February 2025 | |
Neural network-assisted eco-architectural designs: Conceptualizing sustainable construction solutions
Peter the Great St. Petersburg Polytechnic University, 195251 Saint-Petersburg, Russia
* Corresponding author: zatsepina.aleksandra@yandex.ru
Nowadays, neural networks are increasingly being used to generate sketchy architectural solutions. In this article, two projects that won the architectural competition are used as examples to demonstrate how to use the MidJorney neural network. Examples are given for generating text from the source image, generating images based on text queries and making corrections, combining images, images, and text, and altering an image fragment. A roadmap has been drawn up—an algorithm for using the MidJorney neural network to work on an architectural concept.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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