Problem Statement
- Visualizing and planning interior designs that align with personal style and space constraints is challenging without professional assistance.
- Traditional methods for customizing room aesthetics are time-consuming, expensive, and require multiple iterations to achieve satisfactory results.
- Lack of accessible, user-friendly tools for individuals to experiment with and visualize interior design ideas quickly and accurately.
Solution Scenario
- Utilize a fine-tuned Stable Diffusion model trained on an IKEA dataset to generate realistic interior designs.
- Allow users to create room visuals by either entering a text prompt or uploading an image of their space for refinement.
- Enhance user experience by providing quick and accurate visualizations that align with personal tastes and design preferences.
- Integrate a multi-modal approach to support both prompt-based and image-refinement capabilities, enabling greater customization and flexibility.
