In this workshop we will focus on mastering technical tools, navigating Midjourney workflows, and honing curation techniques. Subsequently, the focus will shift towards fostering creative direction, harnessing the narrative power in concept design.
Synthetic Vernacular using Artificial Intelligence 2.0 guides designers in utilizing tools such as Stability AI’s Stable Cascade and Midjourney image generator, fostering hands-on proficiency.
We’re excited to announce the winners and honorable mentions of the global “AI Creative Challenge 4.0” event, where architects and designers pushed the boundaries of AI-driven design in architecture. This challenge aims to revitalize iconic landmarks using AI image-generative tools like Midjourny, Dalle 3, Stable diffusion, Runway ML, etc.
The workshop will focus on translation processes between recursion and python-driven subtractions, material and robot-driven translations, and image-based processes of manipulation and representation to unlock speculations
The second session of the Spatial Fragmentations Workshop, we will go deeper into Houdini and explore its full potential to create complex models. This workshop is aimed at advanced users who would like to learn VEX and Foreach looping techniques in detail.
‘AI-Augmented Creative Workflows’ will cover text-to-image diffusion models, which are a simple way for artists, architects, and designers to experiment with AI.
The main aim of the workshop is to introduce participants to a range of simple polygon mesh modelling techniques using Autodesk Maya to design fluid architectural forms.
In this workshop you’ll learn the fundamentals of parametric design, structural analysis, and optimization techniques, using Rhino, Grasshopper, Karamba 3D and Speckle.
The Of Palm Pavilion, designed by MULA Design Studio, emerges as a symbol of innovative design merging sustainability and contemporary aesthetics.
In Midjourney Architecture 4.0, Students will learn some of the secrets of prompt-crafting and the ability to control diffusion-model in A.I.
© All rights reserved. Parametric Architecture (2018-2024)
ISSN 3023-7564
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© All rights reserved. Parametric Architecture 2018-2024
ISSN 3023-7564
