  In this paper, we introduce an innovative application of artificial
intelligence in the realm of interior design through the integration of Stable
Diffusion and Dreambooth models. This paper explores the potential of these
advanced generative models to streamline and democratize the process of room
interior generation, offering a significant departure from conventional,
labor-intensive techniques. Our approach leverages the capabilities of Stable
Diffusion for generating high-quality images and Dreambooth for rapid
customization with minimal training data, addressing the need for efficiency
and personalization in the design industry. We detail a comprehensive
methodology that combines these models, providing a robust framework for the
creation of tailored room interiors that reflect individual tastes and
functional requirements. We presents an extensive evaluation of our method,
supported by experimental results that demonstrate its effectiveness and a
series of case studies that illustrate its practical application in interior
design projects. Our study contributes to the ongoing discourse on the role of
AI in creative fields, highlighting the benefits of leveraging generative
models to enhance creativity and reshape the future of interior design.
