Stable Diffusion Masterclass for Architects & ArchViz Artists
Full Course Breakdown + Key Takeaways

Course Duration: Nearly 4 Hours

Why This Course?:
In today s rapidly evolving architectural industry, AI-powered tools like Stable Diffusion are revolutionizing 
how architects and ArchViz artists develop, refine, and present their designs. This course is designed to help 
you seamlessly integrate Stable Diffusion, ControlNET, and Photoshop into your workflow, giving you greater control, 
efficiency, and creative freedom.

Master techniques for concept development, architectural visualization, and AI-driven enhancements that will 
elevate your projects. Whether you are refining presentations or pushing the boundaries of design, 
this course provides the knowledge and skills you need to stay competitive.

What You Will Learn & Why It Matters:
How to integrate Stable Diffusion, ControlNET, and Photoshop into your design workflow
Practical techniques for AI-driven concept development and visualization
Advanced ControlNET methods for detailed control over design elements
Real-world applications and project examples for professional use
How to enhance precision and realism in architectural presentations

Who Is This For?:
Architects and students looking to enhance their visualization skills
ArchViz specialists aiming to master AI-driven workflows
Designers seeking to integrate AI-powered tools into their projects
Professionals who want to stay competitive in architecture and visualization

Full Timestamp Breakdown:

Stable Diffusion: Will It Revolutionize Architecture?:
0:00 Intro - Why Stable Diffusion is interesting in architecture
1:40 Stable Diffusion web browser demo
2:14 System requirements
3:10 Install Git
4:05 Install Python
5:13 Install Stable Diffusion WebUI
7:06 Install model/checkpoint
10:17 Set up WebUI.bat
11:00 Launch Stable Diffusion
12:02 How SD works and how to operate it PART 1
25:11 Controversial discussion about AI image generators like Midjourney
27:56 How SD works and how to operate it PART 2
30:24 A different approach to concept development in architecture
33:49 AI specialists in architecture
35:10 A ping pong between specialists as always
37:12 How SD works and how to operate it PART 3
51:11 Landscape architects and SD
51:57 How SD works and how to operate it PART 4
57:39 Upscale and manipulate an image in SD
1:02:25 Showcases
1:05:55 Conclusion

Stable Diffusion + ControlNET in Architecture:
1:13:28 Introduction
1:15:08 Why ControlNET is Useful in Architecture
1:22:55 3D Model Screenshot for ControlNET
1:27:47 How ControlNET Works in txt2img
1:37:04 How ControlNET Works in img2img
1:51:47 How ControlNET Works in Inpaint
1:54:42 ControlNET Workflow in Concept Development Examples
2:09:47 Conclusion

Stable Diffusion + Nvidia Canvas in Architecture:
2:11:12 Introduction
2:12:09 Nvidia Canvas Let s create a context
2:18:16 Adobe Photoshop Let s create a concept idea
2:21:34 Stable Diffusion Let s refine our concept
2:30:12 Examples of use
2:33:14 Conclusion

Stable Diffusion + Photoshop in Architecture:
2:34:14 Introduction
2:35:20 A typical architectural assignment
2:36:23 How Photoshop AI can help us
2:42:46 How Stable Diffusion can help us
2:51:41 Our Final Solution
2:52:59 Conclusion

Stable Diffusion + Photoshop A Deep Dive:
2:56:26 Introduction
2:57:51 Adobe Photoshop Prep for Stable Diffusion
3:03:24 Stable Diffusion Inpaint Your Water
3:09:41 Adobe Photoshop Prep Correct Reflections for Stable Diffusion
3:11:09 Stable Diffusion ControlNET and Inpaint to Control Reflections in Water
3:17:50 Stable Diffusion Inpaint Your Context
3:20:19 Conclusion and Cases

Stable Diffusion + Photoshop A Deeper Dive:
3:25:00 Introduction
3:25:17 Adobe Photoshop Evaluating Your Architectural Visualizations
3:28:01 Stable Diffusion Richer Enhancement and Control with Multiple ControlNET Units
3:39:04 Adobe Photoshop Evaluating the Possibilities Through Cases
3:41:44 Upscale Your Architectural Visualizations
3:45:52 How to Make Precise Glass and Openings with Stable Diffusion and Photoshop
3:46:52 Adobe Photoshop How I Made the Final Illustration
3:48:30 Conclusion

About Your Instructor:
Your teacher is an experienced architect and visualizer with over 20 years in the industry, 
working at top firms and later founding Cadman.dk.

Background:
In 1999, I was accepted to both Danmarks Designskole https://en.wikipedia.org/wiki/Danmarks_Designskole and
Det Kongelige Danske Kunstakademis Arkitektskole https://da.wikipedia.org/wiki/Det_Kongelige_Danske_Kunstakademis_Skoler_for_Arkitektur,_Design_og_Konservering_-_Arkitektskolen
I started in 2000 at the latter, and while still studying, I also taught students in graphical presentation.

Industry Experience:
Internship at Fogh and Foelner Arkitektfirma A/S 6 months
Worked at leading Danish firms, including 3XN
Graduated in 2006 and became Art Director at Tred later Cenario
Founded Cadman in 2009, specializing in architectural visualization
Portfolio https://www.cadman.dk
This background ensures that what you learn is not just theoretical but rooted in real-world experience.

Final Thoughts
AI tools like Stable Diffusion are transforming the way architects and designers work. This course will equip you with the skills needed to harness AI effectively, 
improve your visualizations, and elevate your architectural presentations.

Start learning today and take your architectural designs to the next level.