Interior AI Hub
Professional-grade generative interior design and virtual staging for the next era of architecture.
Transform conceptual sketches and empty spaces into photorealistic interior renders in seconds.
AI2image Interior Design is a specialized vertical of the broader AI2image platform, specifically engineered for architects, real estate agents, and interior designers. In the 2026 market, it distinguishes itself through a sophisticated implementation of Stable Diffusion XL (SDXL) coupled with custom ControlNet pipelines that maintain spatial geometry and structural integrity—avoiding the 'hallucinated furniture' common in generic generators. The technical architecture supports multi-modal inputs, allowing users to upload rough hand-drawn sketches, CAD floorplans, or low-resolution photos of empty rooms. Its diffusion models are fine-tuned on a proprietary dataset of high-end architectural photography, ensuring that lighting, textures, and material physics are rendered with professional-grade accuracy. Positioned as an enterprise-grade productivity tool, it facilitates rapid prototyping and client mood-boarding, reducing the time from concept to 3D visualization by an estimated 90%. The platform includes advanced feature sets like in-painting for specific object replacement and resolution upscaling up to 4K, making it a viable alternative to traditional, time-intensive V-Ray or Corona renders for initial design phases.
Uses depth-estimation and Canny edge detection to ensure AI-generated furniture fits the physical constraints of the uploaded room.
Professional-grade generative interior design and virtual staging for the next era of architecture.
Professional-grade AI virtual staging and interior design for real estate and architects.
Professional AI-powered virtual staging and interior design for real estate marketing.
Turn 2D floor plans into photorealistic 3D interiors with generative spatial intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Allows users to mask specific areas of an image and regenerate only those sections based on new prompts.
Enables users to upload 20-30 images of their own portfolio to create a custom AI style model.
Simulates time-of-day lighting by adjusting global illumination and shadows based on window placement.
An ESRGAN-based upscaling algorithm that adds realistic texture detail during the enlargement process.
Maintains design elements across different angles of the same room using seed-locking.
Automatically detects surfaces (floors, walls, counters) for targeted material replacement.
Empty properties look cold and small in photos, leading to lower engagement.
Registry Updated:2/7/2026
Hand-drawn concepts are hard for clients to visualize as finished products.
Visualizing how a current cluttered office would look as an open-plan space.