Interior Flow

Interior Flow is a high-performance generative AI platform specifically engineered for interior designers, architects, and real estate professionals. By the standards of 2026, it represents a shift from generic image generation to spatially-aware architectural rendering. The platform utilizes a proprietary fine-tuned latent diffusion model that prioritizes structural integrity—ensuring that walls, windows, and load-bearing elements remain fixed while the stylistic layers (furniture, materials, and lighting) are reimagined. Its technical architecture supports ControlNet-driven depth estimation, allowing users to upload rough 3D wireframes or hand-drawn sketches and convert them into photorealistic renders with physically accurate global illumination. This makes it a critical tool for bridging the gap between conceptual design and client-ready presentations. Positioned in the professional-grade tier of AEC (Architecture, Engineering, and Construction) software, Interior Flow differentiates itself through its granular control over texture mapping and its ability to adhere to specific color palettes and material specifications, reducing the iteration cycle between designers and stakeholders from days to seconds.