Italian version here The Evolution of Computational Design in the AEC industry Design in the contemporary landscape has transcended traditional boundaries, evolving into a methodologically… Read More »From D³ to D⁴: The Emergence of the Dialectic Dimension in Computational Design
Envi-Meter: IoT device for Environmental Data Collection to support Architectural Design and Simulations The Genesis of Envi-Meter: My Personal Journey Throughout my career, I’ve always… Read More »Envi-Meter: IoT device for Environmental Data Collection to support Architectural Design and Simulations
Semantic Segmentation using Dense Prediction Transformers via Grasshopper. This innovative component leverages DPT technology to segment and identify objects within images, utilizing the ADE20K pretrained model. Inspired by the Intelligent Systems Lab at Intel Labs, this tool has been further developed within ATk. It completes the original concept of DPT tools as discussed in the ‘Coding Architecture’ book chapter.
The Ambrosinus Toolkit v1.2.8 now includes a new feature: AI outpainting. This addition enhances the Grasshopper platform with another AI tool that utilizes Stable Diffusion technology. So, it will be possible to explore your design even outside the usual on-board frame!
With Ambrosinus Toolkit v1.2.6 I finally brought the “Variation” mode to the locally executable Stable Diffusion-based AI component package.
This well-known mode is based on the principle of altering the initial prompt and the image provided as input. In fact, unlike Text-to-Image (T2I), Image-to-Image (I2I) always requires an initial source image.
As many already know, new platforms and services dedicated to AI are growing visibly. Meshy is one of them and promises to empower content creators to effortlessly turn text and images into captivating 3D assets in under a minute. Waiting for further developments… I’m starting to integrate these features within Ambrosinus Toolkit v1.2.6 😉
Since the Ambrosinus-Toolkit v1.2.2 has been implemented with a new feature: Run Stable Diffusion locally and above all in remote working! Thanks, AUTOMATIC1111 (A11) project and… Read More »Remote working (LAN) for Stable Diffusion and ControlNET via Grasshopper
Ambrosinus-Toolkit and the Research Projects On this page, you will find the official toolkit research projects useful if you want to cite it in your… Read More »Ambrosinus-Toolkit and the Research Projects
Since the Ambrosinus-Toolkit v1.1.9 has been implemented with a new feature: Run Stable Diffusion locally thanks AUTOMATIC1111 (A11) project and ControlNET (CN) extensions. It is another… Read More »AI as Rendering Engine: running Stable Diffusion and ControlNET locally via Grasshopper
Per la versione ITA clicca qui As I write, in Italy, the Privacy Guarantor has frozen ChatGPT ordering to regulate the acquisition of data on… Read More »Algoethics and Algocracy: accessibility to Knowledge to be aware and not delegate an antronomist [part 2]
As for Flexible Design and Scripting: a Computational Tale in the Digital Era, I will try to share some observations regarding the diffusion of AI… Read More »Algoethics and Algocracy: an existentive problem [part 1]
The Ambrosinus-Toolkit v1.1.9 has been implemented with a new feature: DPT technology thanks to René Ranftl’s Intel research team. It is another AI tool that… Read More »WYSIWYT: from the monocular Depth Map estimation to 3D object prototype
📣 Now the AI components of Ambrosinus-Toolkit are about two months old [today is 25/01/2023] Although this, with Build-106 of the StabilityAI-GH component I have… Read More »StabilityAI (Stable Diffusion) inside Grasshopper with Python – Advanced version
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