Mobile Application for Generating Room Images Using Stable Diffusion Model
https://doi.org/10.35596/1729-7648-2025-23-5-93-98
Abstract
Numerous web services designed for generating interior images using generative design methods currently exist on the market. However, the high cost and limitations of some commercial solutions limit their accessibility to a wide range of users. This article proposes a cost-effective solution without significant sacrifices in functionality and quality. The article presents the results of developing a mobile application for generating images of rooms (interiors) based on a photograph and a user-supplied text description. A generative adversarial neural network was used to generate the images. The process of converting a text query into an image is described, and application testing results are provided.
About the Authors
K. I. Ulasavets
Belarusian State University (BSU)
Belarus
Belarus
Kseniya I. Ulasavets, Student,
Minsk.
V. A. Chuyko
Belarusian State University (BSU)
Belarus
Belarus
Vladislav A. Chuyko, M. Sci. (Phys. and Math.), Senior Lecturer at the Department of Intelligent Systems,
5, Kurchatovа St., Minsk, 220064.
Tel.: +375 29 853-07-96.
A. I. Kazlova
Belarusian State University (BSU)
Belarus
Belarus
Alena I. Kazlova, Сand. Sci. (Phys. and Math.), Associate Professor, Head of the Department of Intelligent Systems,
Minsk.
References
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Review
For citations:
Ulasavets K.I., Chuyko V.A., Kazlova A.I. Mobile Application for Generating Room Images Using Stable Diffusion Model. Doklady BGUIR. 2025;23(5):93-98. (In Russ.) https://doi.org/10.35596/1729-7648-2025-23-5-93-98
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