USING ARTIFICIAL INTELLIGENCE TO GENERATE IMAGES
Software: Nano-Banana
The images presented in this section originate from architectural models, drawings and photographs. Artificial intelligence tools were used exclusively as a post-production instrument to enrich atmosphere, material expression and environmental context. In the section above, several before-and-after comparisons are presented to illustrate the effect of the visualization process.
Through AI-assisted image processing, it is possible to explore variations in lighting, vegetation, textures and spatial ambience in an early design phase. This method allows a rapid evaluation of architectural intentions and helps communicate spatial qualities that are sometimes difficult to convey through conventional renderings alone.
The design itself, including geometry, proportions and spatial organization, remains entirely developed by the architect. The AI workflow functions as a complementary visualization technique rather than a generative design method.
For this process there has been experimented with image-enhancement tools (Nano-Banana) to refine mood, depth and material perception while preserving the original architectural proposal.
It is important to notice the environmental impact of digital production. Image generation with AI requires computational energy, therefore these tools need to be used thoughtfully and only where they provide clear added value. The approach needs to favor limited iterations, efficient workflows and purposeful use, aligning digital visualization with a broader architectural responsibility toward sustainability and respect for the planet.