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We explore several concepts of circularity in design using AI image generators like DALL-E, Midjourney, and Runway ML. By focusing on contextual design, we generate ideas for various styles, building typologies, and locations, emphasizing the use of local materials to minimize transport emissions. For modularity in design, we create concepts for easy assembly and disassembly of materials, enhancing reuse and reducing waste across different materials and interior space typologies. Additionally, we investigate repurpose strategies by generating ideas for various building elements and use cases, aiming to find new purposes for building material waste and close the loop of the economy. Here are a few prompts that you can interact with, choose from, and analyze the images generated by AI.

prompt
Midjourney
  • Runway ML

Contextual Design

An exterior photograph from a Chinese contemporary school with focus on the local materiality. The structure must clearly show its elements and how they can be disassembled and repurposed.

  • artistic
  • Swedish
  • Mexican
  • Indian
  • museum
prompt
Midjourney
  • Runway ML

Modularity in design

Create an interior space of a modular exhibition hall which could be assembled and disassembled easily. The concept of modularity within construction should be incorporated into the design. As the main building material timber beams should be used. The singular elements need to be distinguishable from one and each other.

  • classroom
  • kitchen
  • hotel lobby
  • glass plates
  • precast concrete plates
  • steel beams
prompt
Midjourney
  • Runway ML
  • DALL-E

Repurpose strategies

Repurpose the brick to become a park bench

  • concrete slab
  • steel beam
  • timber beam
  • coffee table
  • furniture
  • another product
Post Processing

AI-generated images require post-processing due to their reliance on pixel data rather than adherence to design principles. This often leads to the creation of infeasible designs, necessitating iterative processes of analysis, modification through sketching, and prototyping by designers. Through this iterative approach, designers refine the AI-generated images until achieving the circular design goal, ensuring alignment with sustainability principles and practical implementation requirements. Here are a few examples of furniture design to showcase this iterative process. Feel free to choose a furniture type you would like to explore.

Stage 1: Generating Images using AI

Coffee Table

Japanese coffee table made out of recycled wood and cardboard of different sizes and shapes

  • Coat Hanger
prompt
Stage 2: Sketching and prototyping
prompt
BTS - Behind the scenes

We generate hundreds of images to extract useful designs, resulting in an extensive archive we call "behind the scenes." This collection provides a glimpse into the iterative process and progression of each tool's capabilities. However, it's essential to note the limitations of each tool, as seen in the archive, which can inform future improvements and developments in AI-generated design. From initial concepts to refined designs, designers can explore the evolution of AI-generated images, gaining valuable insights into the creative process and the development of circular design solutions.

Learn More

If this interests you, dive deeper into the world of image generators by exploring our detailed report and analysis of these tools. Learn more about their capabilities, limitations, and the fascinating insights they offer into the realm of design and creativity or even explore the tools yourself!