MNKI

Architectural visualization has always had a brutal gap between early-stage sketches and anything a client will take seriously. MNKI is a browser-based AI rendering studio that closes that gap: upload a hand sketch, 2D floor plan, 3D wireframe, white model, or raw photo; select a style from a library of 30+ options spanning Modern, Japandi, Brutalist, Parametric, Biophilic, and more; and receive a photorealistic render in under 60 seconds. The core workflow is four steps — upload, style-select, generate, refine — with 4K export at the end.

The feature that separates MNKI from basic text-to-image tools is targeted inpainting: select a specific region — a wall, a window frame, a piece of furniture — and regenerate only that area without touching the rest of the composition. Paired with mood board and material palette generation, this means a designer can iterate on material decisions and present coherent concept boards inside one session, without stitching outputs together from separate tools. The 2D-to-3D floor plan conversion adds a visualization layer that makes flat plans readable to non-technical clients.

MNKI fits well at the front end of a design process — concept presentations, client pitches, portfolio work, and listing visuals for real estate. It does not expose an API, and there is no self-hosted option, which means it cannot be embedded in a custom pipeline or accessed programmatically. Teams that need to generate renders in batch, trigger generation from their own software, or keep data off third-party servers will find those doors closed. At that point, the realistic next step is a tool with API access or a locally deployable alternative — MNKI is not that.