Transform physical spaces into photorealistic digital designs with AI-driven virtual staging and 3D flythroughs.
Interior AI represents a benchmark in the application of latent diffusion models for spatial architecture. Built by Pieter Levels, the platform utilizes custom-trained models based on Stable Diffusion, optimized specifically for architectural structural integrity and interior aesthetics. As of 2026, the tool has matured into a sophisticated engine capable of not just static image generation, but high-fidelity 3D video flythroughs from single 2D inputs. The system employs advanced ControlNet architectures to respect the 'bones' of a room—such as window placement, structural beams, and wall depth—while allowing for total stylistic overhaul. Its market position is unique as it serves both the casual homeowner looking for inspiration and the high-volume real estate professional requiring rapid, cost-effective virtual staging. Technically, the platform offers significant efficiency gains over traditional 3D rendering software like 3ds Max or Cinema 4D, reducing turnaround times from days to seconds. With the 2026 feature set including AI masking for selective furniture replacement and HDR-grade lighting simulation, it maintains a dominant lead in the PropTech AI vertical, catering to a global user base through a high-performance, web-based interface.
Generates a cinematic MP4 camera path using depth-estimation models from a single 2D image.
Pioneering the future of luxury through hyper-personalized clienteling and demand-driven intelligence.
Photorealistic Virtual Staging and Interior Design Conceptualization in Seconds
Professional-grade generative interior design and virtual staging for the next era of architecture.
Convert creative micro-blogs into high-performance web presences using generative AI and Automattic's core infrastructure.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Semantic segmentation allows users to brush over specific objects to remove or replace them while keeping the rest of the room intact.
Uses Canny edge detection and line-art pre-processors to turn hand-drawn floor plans or sketches into photorealistic rooms.
Interpolates between two different design latent vectors to create a hybrid aesthetic.
Utilizes ESRGAN-based neural networks to enhance low-res generations to print-ready quality.
Calculates global illumination and light bounce based on detected window positions.
Ensures uploaded photos and generated results are not added to public training sets or galleries.
Physical staging is expensive ($2k+) and slow.
Registry Updated:2/7/2026
Select best for MLS listing.
Homeowners struggle to visualize a space with new flooring or wall colors.
Creating lifestyle shots for products is logistically complex.