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Course detail
This workshop explores integrating AI-driven tools like Stable Diffusion and ControlNet into architectural design workflows, enhancing creativity while maintaining control over the design process.
This course includes
As the architectural profession continues to evolve, technological advancement is reshaping how designers approach their work. The transition from traditional drafting to digital tools like CAD, Rhino, and Grasshopper brought significant shifts in practice while rendering engines such as V-Ray and Enscape revolutionized visualization. The rapid rise of Artificial Intelligence, primarily through diffusion models and AI-driven generative tools, is introducing a new paradigm for architectural design.
This workshop is designed to harness AI technologies effectively while remaining in control of the creative process. Through two targeted, hands-on sessions, participants will explore how AI can be thoughtfully integrated to enhance the creative design process. The focus will be on practical application—using AI as an extension of the designer’s toolkit without losing sight of core architectural principles.
This workshop will be interactive, with dedicated time to address participants' questions and thoroughly explain the key concepts to avoid confusion, Offering ample opportunities for discussion so participants can leave with a confident understanding of how to apply AI tools effectively in their own design workflows.
Effective AI prompting strategies.
Text-to-image generation using Stable Diffusion .
Image-to-image transformations for iterative design.
Basics of image-to-video workflows.
Utilizing ControlNet for enhanced control in AI outputs.
Exploring Prompt Travel for creative transitions and animations.
Refining AI-generated designs in Photoshop .
Best practices for presenting and communicating AI-driven designs to clients and professors.
A brief introduction to Runway ML (This is a paid service, so we’ll cover it briefly. Free alternatives will also be mentioned).
This workshop will take a practical approach to implementing AI techniques in your design workflow, with an emphasis on effectively communicating these innovations to clients and professors.
In this workshop, participants will learn to integrate AI tools like Stable Diffusion into their architectural design workflows. Topics covered include text-to-image and image-to-image generation, image-to-video creation basics, and advanced controls with ControlNet. Participants will explore Prompt Travel for creative transitions, refine their AI-generated designs in Photoshop, and learn best practices for communicating their work. By the end of the workshop, attendees will be equipped with practical AI skills to enhance creativity while maintaining control over their design process.
“AI-Driven Design Practice 2.0” will provide a practical framework for incorporating artificial intelligence into various stages of the design process. From early concept generation to more refined phases, AI can significantly enhance creativity and efficiency. Participants will learn how to strategically use SDXL in their workflows, covering text-to-image image-to-image techniques, the basics of video generation, and an introduction to LoRA training. The hands-on sessions will focus on integrating these tools seamlessly into design practice, offering practical insights that elevate both precision and innovation.
The workshop will focus on real-world applications that participants can implement immediately in their current design projects, ensuring a seamless integration of AI tools into existing workflows.
1. Intro + PAACADEMY Updates
07:36Introduction to the workshop - PAACADEMY Updates
2. Lecture
49:09Foundations of AI Design
3. Introduction to Diffusion Models
53:58Evolution and functionality of diffusion
4. Diffusion Image Optimization Techniques
53:59Optimizing diffusion image generation techniques
5. Refining Image Generation
53:53Architectural diffusion with advanced workflows
Cas Esbach is a project leader and architect at MVRDV’s Rotterdam Office. With a rich professional background that includes positions at Derksen|Windt in Delft, Civic Projects in Chicago, and BIG in New York, Cas has been an integral part of the MVRDV team in Rotterdam for over five years. He has significantly contributed to and led numerous impactful projects during his tenure. His notable achievements include successful projects such as the Shenzhen Terraces, Tripolis Park in Amsterdam, and Valley in Amsterdam. Additionally, Cas has served as an esteemed educator, bringing his expertise to the academic realm as a dedicated teacher at TU Delft, where he imparts his knowledge and passion for architecture to the next generation of professionals.
Excellent workshop! Really helpful for any architect that wants to be updated with the latest developments in the AI world
It was an amazing workshop. Cas was very clear and smooth with his delivery content. Can't wait for the next workshop.
Very Interesting and informative masterclass to enhance creativity.
Very good course. I really enjoyed it! Cas did a very good job on explaining everything.
I think that Cas's first course was better explained than this second one (in the 39-minute 'Lora's training' video, for example), there is too much talk, more words than explanatory images. Trying to cover everything without being able to go into depth.
Very interesting masterclass. Cas really explained a lot and I learned so much. Would definintely recommend it!
Isnpiring course. Bit complicated for me as a starter with SD.
01The Diffusion Architect: Stable Diffusion for Practical WorkflowsIsmail Seleit€161.50
02Parametric IntelligenceTim Fu€300.00
03Combinational Creativity using Generative AIArturo Tedeschi€150.00
04AI-Driven Architectural DesignEbrar Eke€102.00
05AI-Driven Design PracticeCas Esbach€35.00
06The Diffusion Architect 2.0Ismail Seleit€136.25
