HDR
Professional
AI Architectural Rendering
Transforming architectural possibilities through machine learning innovation
Python
PyTorch
Javascript
HTML/CSS

Problem
How might we enable real-time, collaborative visualization in architectural rendering to allow immediate feedback and iterative improvements during the design process?
Solution
AI-powered instant rendering
Our AI-powered rendering solution introduces instant visualization capabilities for architects, replacing the traditional time-consuming rendering process. It enables immediate design feedback through real-time generation, supports multiple rendering styles, and maintains consistent quality—solving critical workflow bottlenecks while reducing costs significantly.

Text to Image
Generates images based on text descriptions, allowing you to create visuals from written prompts. For example "Create a photorealistic modern minimalist house with floor-to-ceiling windows, white concrete exterior, floating stairs, and a zen garden courtyard in daylight" → a modern white house with glass windows, floating stairs and a zen garden, just like a professional architectural photo.

ControlNet
Provides precise control over image generation by incorporating additional data like rhino screenshots to guide the output.

High Resolution
Enhances image quality and detail, producing clearer and more defined visuals for high-quality results.

Model Training
Independently curated datasets for 4 specific architectural types and styles. Delivered final rendering models with detailed parameters and trial prompts for user testing.
Impact
90%
Cutting rendering time by
1000+
Renderings
85%
Accuracy
x5
Increase in weekly usage after iterations