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Generative Architecture with AI (SD+FLUX)

This workshop teaches architects to integrate generative AI into design workflows, including Flux, using techniques developed at MVRDV.

Seats:
50
Format:
Online On Zoom
Date:
Mar 29, 30, 2025
Duration:
8 Hours
Difficulty:
Beginner
Language:
English
Certificate:
Yes
Registration:
€85.00
Members:
72.25 EUR (27.75%) discount
Recordings:
Available Indefinitely

As generative AI tools start to become integral to design workflows, the challenge is no longer just about using them—it’s about mastering them with intent. While simple prompts can spark ideas, they fall short when delivering site-specific, context-aware solutions. As projects progress, architects need more than just automation; they need structured, deliberate methodologies that provide control over AI-driven processes.

As your design evolves, you need to command it rather than let AI generate your designs; thus, there is a need for a customized deliberate methodology. 

This workshop delves into how Fredy is looking to consolidate generative AI into architectural practice—not as a replacement for critical thinking but as a powerful extension of it. Learn how to refine AI workflows, integrate multimodal approaches, and elevate your design process with precision and creativity.

Explore cutting-edge Generative AI applications being developed at MVRDV, one of the top innovative architectural firms.
Prompting, LoRas, Seeds, Steps, ControlNet. and Denoising Basics.
Customized SDXL Segmentation technique for Photoshop and/or Rhino. 
Flux Upscaling Techniques.
Multimodal workflow: Rendering tools + Forge SD + Photoshop AI + Comfy SD/FLUX.
Advanced techniques for architectural workflows, including the use of LLMs + Diffusion models.

This workshop will teach you how to work with a multimodal approach: Using your model with Render tools + Stable Diffusion (SD) + FLUX + Adobe Photoshop. 

The workshop is divided into two main parts: 

First, a general overview of what is currently achievable and what could be in the near future. In this workshop, you will learn the fundamentals of prompting, word and LoRa weights, Seeds, Steps, Denoising, IPadaptors, and the use of ControlNet.  Next, you will learn an experimental ADE20K segmentation methodology that can provide architects with more control by defining a specific architectural category to include in their scene.

While this approach still has limitations—such as the fact that the category remains heavily influenced by the prompt—it proves effective for defining general objects in the scene using tools like Photoshop or Rhino.

If all this sounds too complex, don't worry, it's okay! This workshop will take the time to cover the fundamentals comprehensively, ensuring you have a strong foundation for the more advanced material to follow.

Next, on Day 2:

We will go over a modular tool called ComfyUI that allows for customizing your own workflows depending on your specific needs and intentions. You will practice using custom workflows using the basics you learned the day before. Next, We will learn Upscaling and a multimodal SDXL+Flux workflow that leverages LLM techniques to improve image precision and prompting efficiency. 

This workshop will teach you Fredy's approach to integrating generative AI into various stages of design to enhance, rather than replace, the architect's critical role in the design process. This course is aimed at architects and designers who are experimenting yet looking to take AI into their professional use.

Minimum Recommended Specs:

To ensure smooth participation in this workshop, we recommend the following system requirements:

  • Dedicated NVIDIA Video Card (Preferably)
  • At least 8GB VRAM GPU (Graphics Card)
  • At least 16GB RAM

Don't have a high-spec computer?
No worries! You can use Pinokio for cloud-based computing or rent a powerful machine through RunPod to ensure smooth performance during the workshop.
 
Software Installation is NOT a part of the workshop! Students must have all the software installed before starting the workshop. 

Instructors

Biography
Fredy Fortich is an Architect and Engineer specializing in computational design, with a particular focus on BIM coordination in Revit, performance-based design, generative design, and machine-learning methods. He holds a Master of Science in Building Technology from TU Delft in the Netherlands and a Master of Architecture from Universidad de los Andes in Bogotá, Colombia. Currently, Fredy works as a Technical Architect at MVRDV, BIM Manager at French Studio, and an AI researcher on Diffusion Models.
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