Stable Diffusion Masterclass for Architects: Outline, Timestamps

Stable Diffusion Masterclass for Architects

Course Duration: 3h50m

Why This Course?

Because the difference between AI experiments and usable architectural output is control.
This course teaches you how to control Stable Diffusion, ControlNET, and Photoshop to get reliable results and integrate it into real workflows.

Stable Diffusion is one of the most flexible AI image tools for architecture because it gives you real control. Architects use it for concept development, early visualization, material and facade studies, context work, and presentation images. The challenge is that professional output requires predictable results, not random experiments, which is why workflows like img2img, inpaint, and ControlNET matter.

ControlNET is especially powerful in architecture because it can lock your design intent. You can guide Stable Diffusion using a screenshot from a 3D model, a line drawing, a depth map, or other structural input. This makes it possible to keep proportions, openings, and key design elements stable while still exploring style, lighting, atmosphere, and materials. Stable Diffusion WebUI setup is covered, so you can build a usable workflow from installation to real outputs. Combined with Photoshop, Stable Diffusion becomes a practical production tool, not just an inspiration generator.

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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

CPD, Certificates & Architecture Students

This course is highly relevant for architecture students, interns, and professionals documenting CPD hours.
If you want a Certificate of Completion, submit a short reflection or example image based on the course via the 2-hour Email Consulting service, which includes personal feedback and confirmation of completion:

👉 https://cadman.dk/email-consulting/

The certificate reflects real engagement, not passive viewing, and includes an estimated study time of 12-20 hours depending on pace and depth.

Stable Diffusion Course Timestamps

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

Jeppe Lyngby is an architect and visualization specialist with 20+ years of professional experience, including work at 3XN and Cenario in Copenhagen. He founded Cadman.dk in 2009 and has also taught architectural visualization at KADK.

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Single-User Access (1 seat) Pay 250 USD ex. VAT

Team Access (2-9 seats) Pay 800 USD Multi-User License ex. VAT

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