Generative AI enables architects or product designers to explore a vast array of design alternatives quickly. By inputting parameters and constraints, architects/product designers can use AI to generate diverse design options, pushing the boundaries of traditional architecture and fostering creativity.
Integrating generative AI in research promises an exciting future. The fusion of creativity and artificial intelligence opens doors to a new era of experimental research work.
Gen-AI offers a promising tool to enhance collaboration among architects and project stakeholders. By generating diverse options based on specific criteria, architects can present clients with a spectrum of creative solutions, considering sustainability and community impact.
Ensuring designs are feasible structurally is vital; Gen-AI’s rapid options may overlook engineering constraints.
Partnering Gen-AI with human expertise unlocks experimentation. As technology evolves, expect more applications, from energy efficiency to intricate project collaborations, shaping the future of architectural design.
For Architectural Use | Lineart Sketch to Image
The Lineart to image generation method is suitable for architects and interior designers. Here, a loose sketch of a bungalow is fed into the workflow. We choose a architectural training model, and the AI generates a shaded version of our drawing.
However, lets influence it with a different visual style.
Now the generated bungalow image follows the style of our reference input image. We hope this article helps you understand Controlnet better, in the Stable Diffusion workflow.
Examples
For Product Design Use | Controlnet Softedge HED
Incorporating Generative AI into product design brings forth a multitude of advantages. It boosts efficiency, slashes costs, and expedites prototyping. AI swiftly churns out various design possibilities, enabling designers to concentrate their creativity on polishing and selecting the most optimal choices.
This method is useful if you wish to input a product image. Once we feed it into the workflow, and choose our LoRA (in this case, a crystal style aesthetic.) It is able to generate out closely based on the reference.
Examples
Mind Theory Singapore provides a turnkey solution for your organisation if you wish to implement Stable Diffusion Automatic1111 & ComfyUI in your workflows.
Our Generative AI Implemention Package includes a 49inch Dell Ultrasharp 4k monitor, Intel i9 or AMD Ryzen 9 with 64GB DDR5 Ram, Nvidia RTX4090 GPU, 2TB M.2 NVME Samsung SSD, 4TB Toshiba 3.5″ Enterprise 7200RPM Harddrive, 1200w PSU, preloaded with Windows 11. Open sourced LLMs, LoRAs, Controlnet Models in Stable Diffusion Automatic1111 & ComfyUI will be also be preinstalled and ready to use.
Contact us at info@mindtheory.sg for more information.
