PAACADEMY
Courses Architecture Combinational Creativity using Generative AI

Combinational Creativity using Generative AI

The workshop aims not just to share and adopt new tools but to rethink the design process itself.

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Duration:
2 Sessions (8 Hours)
Difficulty:
Beginner
Language:
English
Certificate:
Yes
Registration:
€150.00
Tutor:
Arturo Tedeschi
Members:
127.50 EUR (36.25%) discount
Recordings:
Available Indefinitely
€200.00
€150.00
One Time Payment €150.00
Available in Full Access plan
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Introduction of the workshop:

Combinational Creativity using Generative AI

 

Generative AI transcends the role of a mere addition to the technological toolkit of a designer. It is a revolutionary force fostering a transformative wave across diverse sectors, from fashion to architecture, advertising to product design. This transformation is not just about automating tasks; it’s about redefining the very essence of how human artifacts are conceived, designed, and brought to reality or to market.

 

The principal innovation of generative AI resides in what is termed ‘Combinatorial Creativity,’ a definition entailing the synthesis and recombination of images or ideas that facilitate the generation of novel concepts that may not be readily apparent or intuitive to humans. Thus, it becomes essential for a contemporary designer to understand and embrace this new paradigm. The workshop aims not just to share and adopt new tools but to rethink the design process itself. Join Arturo Tedeschi, a renowned expert in parametric design and AI, for a comprehensive session where he will reveal his methodologies, refined through fifteen years in the forefront of architecture and industrial design.

 

Additionally, he will introduce AI tools and workflows that have been rigorously tested over the past two years, offering a blend of long-term expertise and cutting-edge technological advancements, providing a theoretical framework and a critical approach to the subject of generative AI.

 

What You’ll Learn?

Combinatorial Creativity: Discover how generative AI enables the synthesis and recombination of ideas to inspire novel concepts.
Broaden Creative Horizons: Learn to leverage generative AI to explore diverse styles and combinations beyond your typical creative process.
AI Collaboration: Understand how to effectively collaborate with AI as a creative partner for brainstorming and visualizing multiple interpretations.
Innovative Frameworks: Develop new strategies for informed decision-making and transforming concepts into tangible designs.
Tool Proficiency: Gain practical skills with tools like MidJourney, Stable Diffusion, ControlNet, and Runway ML to enhance your creative workflows.

Methodology:

The aim of this program is to explore and develop innovative concepts for architecture concepts, products, art installations, and creative artifacts. The ultimate goal is to equip participants with a new framework for creative strategies, informed decision-making, and innovative techniques, essential skills for turning concepts into tangible projects in the era of AI. The structure of the course is based on two main theoretical foundations:

 

BROADENING CREATIVE HORIZONS:

 

Generative AI can expose artists, designers, and creators to a wider range of styles, ideas, and combinations than they might encounter in their usual creative process. This exposure can inspire new directions in their work.

 

ENHANCING COLLABORATION BETWEEN HUMAN AND THE INTELLIGENT MACHINE:

 

AI acts as a creative partner, effectively ‘brainstorming’ with the artist, offering effortless pre-visualization and iterations. AI can help visualize multiple interpretations of an idea or concept initially represented as quick sketches or diagrams. Throughout the program, students will be challenged to generate concepts responding to specific creative categories briefs.

What You’ll Use?

Content

Important Notes:

Total sessions: 2 Sessions
PAACADEMY will provide a certificate of attendance.
Stable Diffusion and ControlNet (How to install SD and ControlNet). In the alternative, participants can use Stable Diffusion on a server relying on RunDiffusion. which is a platform focused on the Stable Diffusion model, charging based on server rental time and the number of models used (it supports ControlNet).

Meet Your Instructors

Arturo Tedeschi

Arturo Tedeschi

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Biography
Arturo Tedeschi is an Italian architect and computational designer internationally renowned for his sculptural and visionary approach combined with research on advanced design methods, materials, and fabrication technologies. His use of digital technologies blurs the line between disciplines and emphasizes the semantic and emotional values of objects. As a consultant, he worked with some of the world’s most influential brands in fashion design, sportswear, automotive, and architecture, providing services related to algorithmic modeling, complex geometry, digital fabrication, artificial intelligence, virtual reality, and data-driven design. His personal work has been featured in international magazines such as Forbes, Wired, Dezeen, AD, and Business Insider and exhibited worldwide. He is the author of the books Parametric Architecture with Grasshopper and AAD Algorithms-Aided Design unanimously considered one of the global references on the subject. Since 2011 he promoted and directed more than 200 events and workshops that trained a generation of students and professionals. In 2019 he was appointed Italian Ambassador for Design by the Italian Ministry of Foreign Affairs. He lives and works in Milano, Italy.
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1 review. Join the conversation!

irena

irena 2024-10-26 19:47:21

If Arturo can go into next time more of the GH screenshot workflow and the comfyUI...as one training that then dives into RunwayML to create video