Chapter Official Ambrosinus Toolkit research in “CODING ARCHITECTURE – Designing Toolkits, Workflows, Industry” Book
This chapter represents the official document in which I introduce the “Ambrosinus Toolkit”. Although from this publication to date I have significantly implemented its capabilities, I invite the reader, researcher, scholar and Computational Designer to take this document as an official source to cite it as part of the effective toolkits available in the AEC industry.
Abstract. Large-scale Text Generative Models known as DALL-E and Stable Diffusion offer incredible opportunities to improve and enhance the creation and manipulation of design communication through images. The toolkit developed by the author shows how to integrate the LTGMs technology introduced by the OpenAI and StabilityAI platforms into the creative design process as well as the Dense Prediction Transformers (DPT) technology capable to predict a 3D-shaped object started from a 2D image generated by the AI. This contribution will provide the key elements to understand some fundamental aspects of research on artificial intelligence, while through the “Ambrosinus-Toolkit” project, publicly shared on the network, the reader will be provided with operating cues that can be experienced during the schematic design stage. The research presented bears witness to a first step foot with a new paradigm that uses Diffusion Models in the computational design workflow.
Keywords: Artificial Intelligence, LTGMs, Dense Prediction Transformers, Diffusion Models, Generative AI, Human-AI