# Generative Architecture with AI (SD+FLUX)

> 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 pro…

## At a glance

- Format: On-demand course
- Price: €136.00 (list €160.00)
- Difficulty: Intermediate
- Duration: 8 Hours
- Schedule: Mar 29-30, 2025
- Instructors: Fredy Fortich
- Categories: Architectural Design, Artificial Intelligence
- Software: Adobe Photoshop, Stable Diffusion, ComfyUI, Flux
- Students: 112
- Rating: 4.7 / 5
- Canonical: https://paacademy.com/course/generative-architecture-with-ai
- Enroll: https://paacademy.com/course/generative-architecture-with-ai

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## About this course

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

## What you'll learn

- 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.********

## Methodology

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](https://pinokio.computer/)** for cloud-based computing or rent a powerful machine through **[RunPod](https://www.runpod.io/)** ([Check this guide](https://www.youtube.com/watch?v=5hCGDcfPy8Y)) to ensure smooth performance during the workshop.


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## Curriculum

### Session 1
- Fredy Fortich (02:03)
- Intro + PAACADEMY Updates (07:06)
- AI in Architectural Design (54:00)
- AI in Architectural Modeling (31:03)
- AI Prompting Essentials (40:59)
- Precision with Stable Diffusion (38:37)
- Segmentation in Architecture (56:34)

### Session 2
- ComfyUI for Design Optimization (17:59)
- Image Generation in ComfyUI (36:15)
- Flux Fundamentals (24:32)
- Flux Workflow (24:55)
- Flux image Overview (52:26)
- Stable Diffusion & Controlnet (23:28)
- Enhanced Image Creation (56:45)