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Architecture is no longer limited to strict shapes and fixed forms. The rise of generative and computational tools has made it possible to design buildings that respond to logic, context, and aesthetics in ways that were once hard to imagine. This post aims to explore this change by designing a facade system in Beegraphy, the online parametric design software. We will then visualize it using Nano Banana’s rendering environment.
The process began with a simple idea: to create a responsive surface that changes shape based on its surroundings, similar to how light, air, or people interact with architectural space. Using BeeGraphy’s node-based workflow, we developed the facade geometry through computational modeling instead of traditional methods. Each panel was adjusted in size, rotation, and depth depending on its distance from a specific point, resulting in a design that appears both purposeful and natural.
To bring this system to life, we placed the model on an existing building and rendered it in Nano Banana. We applied a bronze metallic finish to highlight reflectivity and contrast, capturing the blend of digital fabrication, precision, and artistry.
Concept Development
The facade system that caught my attention was the tessellated triangle design. This made me think, “What if the size of the triangles on the inner side could be controlled by an attractor point? This would let it react dynamically and give the facade a sense of flow and movement.” This idea reflects how environmental elements like light, wind, or human activity shape architecture.
The design started with a simple rectangular grid. This grid divided into triangular panels that act as modular facade elements. Each triangle scales based on its distance from the attractor point. This creates variations in form that look more natural. The responsive pattern makes the surface feel alive: it is dense and compact near the attractor and more open as it moves away.
In BeeGraphy, the attractor logic used nodes to control distance calculation, scaling, and extrusion intensity. The result is a controlled yet organic change in the panels across the facade. The algorithm influences both function and appearance.
A bronze-like metallic material was chosen for the final finish. This choice emphasizes reflectivity and light interaction, achieved through Nano Banana AI by Gemini. The color palette and texture draw inspiration from oxidized metal surfaces often found in architectural cladding, balancing digital precision and material realism.
Beegraphy Workflow
Step 1: Creating the Base Geometry
(Refer to the “Rectangle Group” in the network.)
The process began by generating a rectangular surface that serves as the canvas for the facade.
- Rectangle width and length sliders controlled the overall proportions.
- The rectangle curve was converted to a surface using the Curve to Surface node.
- A Move node paired with Vector XYZ provided flexibility to adjust the plane’s position in 3D space.
This stage established the foundational grid on which the parametric logic would later act.
Step 2: Dividing the Surface into Panels
(Refer to the “Panel” group.)
The next step divided the base surface into smaller, manageable units.
- The surface was split using Partition X and Partition Y, each controlled by numeric sliders to determine the panel density.
- These divisions were then converted into triangular panels using the Triangle Panel A node.
- The Centroid node calculated the geometric center of each triangle, which was essential for mapping distances in later stages.
This created a modular grid of triangles that could be manipulated individually, forming the foundation of the facade’s responsive pattern.
Step 3: Setting Up the Attractor Logic
(Refer to the “Attractor” group.)
The attractor system determined how each triangle would behave based on proximity.
- Two numeric sliders, Distance X and Distance Y, defined the attractor’s position.
- These values were combined using the Construct Point node to create a movable attractor point in space.
- The Distance 2 Points node calculated the distance between each triangle’s centroid and the attractor.
- A Bounds node established the minimum and maximum distance range, which was then remapped to control scaling intensity using Remap Numbers.
- Finally, a Min Inner Scale slider defined how small triangles could get at their closest point.
This logic ensured that panels closer to the attractor scaled down, while those farther away expanded, creating a smooth gradient of variation across the surface.
Step 4: Generating Height and Depth
(Refer to the “Height” group.)
To add three-dimensional expression, vertical displacement was introduced.
- Geometry Closest Point identified the relationship between the attractor and panel points.
- Evaluate Surface and Amplitude Vector nodes controlled how far each triangle would move along the surface normal.
- The Move node translated the geometry vertically based on a Height slider, which set the extrusion intensity.
This step transformed the flat facade into a dynamic surface with depth and contour, enhancing its architectural impact.
Step 5: Scaling Multiple Triangle Sets
(Refer to the “Scaling 3 Sets of Triangles” group.)
To refine the surface variation, scaling was applied across multiple triangle sets.
- Using Range Input and Outer Scale sliders, three scaling operations were defined.
- Each set was processed through separate Scale and Graft Tree nodes, ensuring hierarchical organization of geometry data.
- This layering technique gave the facade richness and dimensional variation, visually amplifying the attractor’s effect.
A link to the original script is provided here.
Rendering with Nano Banana
Importing the Facade and Building
Rather than working with 3D geometry, this stage focused on AI-based image visualization. The facade output from BeeGraphy was first exported as an image so that the whole facade is visible. The building photograph from the internet, a render from 3D software, served as the base canvas. Both were then imported into Nano Banana for composition and rendering.
The process involved aligning the facade precisely with the left window section of the building. This ensured that scale, perspective, and proportion felt natural. Nano Banana’s intuitive interface made it easy to position and blend the facade without distorting its geometric rhythm.
Applying the Metallic Finish
To improve realism, the facade was given a metallic bronze finish directly within Nano Banana’s rendering setup. The color tone was carefully adjusted to capture a subtle gradient of bronze. It was reflective but not overly glossy.
A soft metallic texture was added to mimic brushed metal surfaces.
Conclusion
This project shows the growing connection between generative design systems and real-time visualization platforms, specifically BeeGraphy and Nano Banana. What used to require complicated software can now be done through easy, browser-based workflows that allow designers to think algorithmically and visualize their ideas creatively. BeeGraphy’s node-based generative logic changes how designers approach form. It encourages exploration through parameters, relationships, and attractor-driven behavior. Meanwhile, Nano Banana provides a visual link that turns data-driven geometry into relatable imagery.
Together, these tools change the flow of the design process. BeeGraphy serves as a space for brainstorming and experimentation, where geometry comes from logic. Nano Banana acts as a platform for visual storytelling, where concepts become architectural realism. This integration closes the gap between design development and visualization, letting designers prototype, refine, and present their ideas within a single, smooth system.
The partnership between BeeGraphy and Nano Banana also reflects a broader change in digital design culture. It moves from software-specific workflows to interconnected creative environments. By combining computation with intuitive visualization, these tools invite not only experts but also students and new designers to interact with complex ideas in simpler and more engaging ways. Generative design is no longer limited to code-heavy environments; it is becoming visually clear, easy to test, and endlessly flexible.
Looking ahead, the power of BeeGraphy and Nano Banana lies in their shared goal of making parametric design accessible and expressive. As both platforms develop, their ongoing integration will create new opportunities for collaborative design, real-time feedback, and AI-assisted creativity. Designers will be able to shift from concept to context within minutes, with data-driven geometry accurately visualized in material and light.
This workflow points to a future where computation collides with creativity. Design is not only about creating form but also about shaping interaction, perception, and meaning. BeeGraphy and Nano Banana together represent that future, where every algorithm becomes an artistic gesture and every visual result narrates the story of design intelligence in action.
