AI for large-format prints and competition plans
Many architects today use AI image generators like Google Nano Banana 2, ChatGPT Image2 etc. for initial designs, mood boards, and quick iterations. Most models are excellent for this.
However, when it comes to creating high-quality final presentation images, many of these solutions reach their limits. These generic AI models deliver resolutions of only 4,000 pixels.
For large-format prints, competition presentations, exhibitions, or detailed material representations, this is often not enough.
OUR SPECIALTY
This is precisely where one of the greatest strengths of Typus.ai lies:
With our specialized upscaler, images can be upscaled to resolutions of up to 8,000 pixels – significantly beyond what most standard solutions allow.
Material Refinement Rather Than Plain Enlargement
In doing so, the image is not merely enlarged. Through our architecture-optimized models, additional details are added and surfaces are specifically refined.
Particularly with materials such as concrete, wood, natural stone, metal, or plaster, significantly more realistic textures and a more convincing material feel are created.
Based on our experience, the ideal workflow is:
- 1Create initial ideas and variations in the "Create" section using generative AI models.
- 2Select the best variation.
- 3Bring the image to final presentation quality using the Typus.ai upscaler.
Especially for architects who create high-quality renderings for clients, competitions, or publications, a powerful upscaler is therefore not a luxury, but an essential part of the workflow.
PROJECT REELS
Project: Saint-Aubin
Discover how Siegrist Architectes use AI to visualize sustainable school environments in Saint-Aubin. A deep dive into wooden architecture.
Project: Venthône
The transformation of the Venthône School Center. Alpine minimalism visualized with AI for a perfect landscape integration.
