AI in Architecture 5-Course Bundle: Outline, Timestamps

AI in Architecture 5-Course Bundle

Bundle Duration: 17+ Hours

This bundle includes the following courses:

Bonus Course: DALL-E vs Midjourney – Which is Best for Architectural Concepts?

Midjourney Masterclass for Architects

Course Duration: 3+ Hours

Why This Course?

Because the difference between AI experiments and usable architectural output is control.
This course teaches you how to control Midjourney to develop, refine, and present architectural concepts in real workflows.

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Midjourney Masterclass for Architects – Course Timestamps

Introduction to Midjourney in Architecture:

0:00 Intro
0:28 Installation
2:32 How Midjourney works
3:20 What Midjourney can and can not

Architectural Concept Development with Midjourney:

11:30 Midjourney for Architectural Concept Development – Part 1
14:15 Midjourney for Architectural Concept Development – Part 2
29:01 Midjourney for Architectural Concept Development – Part 3
40:45 Midjourney for Architectural Concept Development MASTERED!

Interior Refinement with Midjourney:

56:23 Elevate Your Architectural Interior with Midjourney | PART 1
1:00:18 Improve Your Architectural Interior with Midjourney | PART 2
1:06:11 Upgrade Your Architectural Interior with Midjourney | PART 3
1:07:45 How Midjourney helps make Beautiful Architectural Interiors in Photoshop
1:09:09 How Midjourney Inspires our Render Process

AI Comparisons and Future Insights:

1:16:45 Partial Conclusion
1:17:21 DALL-E vs Midjourney, intro
1:17:38 First Look at DALL-E with GPT-4 Integration
1:25:36 Conversational Image Generator with SimCity Graphics
1:32:12 OK, Maybe Not Just SimCity Graphics
1:37:42 DALL-E Makes Me Laugh
1:38:07 Market and Money: A Prediction
1:53:24 First Look at MidJourney 6.0
1:55:43 MidJourney Impresses Me with Concepts and Graphics
2:00:54 Super Intelligent Child but Impossible to Communicate With
2:01:50 MidJourney Impresses Me. Again.
2:09:04 Human vs. AI
2:13:46 Are Architects’ Jobs in Danger?
2:16:11 The Problem with This Tech in a Nutshell
2:18:57 Comparison: MidJourney vs. DALL-E
2:21:11 Hogwarts Blended with Contemporary Architecture… Wow!
2:23:20 Now and the Future: An Insider’s Prediction
2:27:38 The Nail on the Head About This Tech
2:29:45 Upscale Upgraded Massively
2:35:59 Conclusion

Midjourney v6 in Architecture (Web-Version):

2:38:20 Concept Refinement in Adobe Photoshop with AI Tools
2:43:46 Brave New World
2:45:03 Midjourney v6 in Architecture: (WEB-Version), intro
2:45:46 Quick Start Guide (via Homepage)
2:47:26 Exploring the Web Version
2:48:32 What’s New in v6.1
2:49:16 Crafting Effective Prompts & Parameters
2:56:32 Using Creation Actions (Vary & Upscale)
3:01:28 Editing with Selective Changes
3:05:26 Retexturing in v6.1
3:08:44 Organizing Your Designs
3:10:11 Exploring Midlibrary.io
3:13:03 Real-World Cases & Discussion
3:20:39 Conclusion
3:24:52 End

Stable Diffusion Masterclass for Architects

Course Duration: Nearly 4 Hours

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.

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Stable Diffusion Masterclass for Architects – 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

PromeAI Masterclass for Architects

Course Duration: 4h34m

Why This Course?

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

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PromeAI Masterclass for Architects – Course Timestamps

PromeAI in Architecture: A Midjourney & Stable Diffusion Slayer?

00:00 – Introduction
00:23 – PromeAI with 10% off
00:42 – Interface overview
00:42 – Built for architects?
03:07 – Sketch Rendering intro
06:20 – Models & styles
07:21 – Sketch modes
07:52 – Creativity Slider explained
08:17 – Advanced & Misc settings tips
10:30 – Sketch to visual (real case)
12:49 – Style & Scene control
14:21 – Creativity Slider Important Tips
14:46 – First results – honest view
15:51 – The Great test
18:58 – Exterior use cases
20:09 – Real-world workflows
22:45 – Upscaling
26:55 – More exterior tests
28:44 – How to help PromeAI interpret your input.
29:46 – Workflow experiments
33:48 – Intial conclusion

PromeAI + Photoshop: Transforming Interior Design

37:17 – Introduction to interior design
37:43 – AI Image Generator – Intro
40:52 – Image Generation – relevance and quality
44:39 – Assets overview
44:53 – Photo to Sketch intro
46:40 – First interior results
48:31 – Why Photoshop still matters
50:26 – Sketch Rendering revisited
53:16 – Interior results – honest view
55:38 – Wrap-up

PromeAI + Photoshop: Mastering Interior Design

55:50 – Sketch Rendering, used differently
56:17 – Interior results – honest view
59:50 – Photoshop edits for full control
1:01:40 – Sketch Rendering workflow demo
1:07:35 – Region Rendering + Photoshop combo
1:11:08 – Crude manual sketches – refined auto AI Images?
1:13:17 – Region Rendering again – but why?
1:14:17 – Inspection & refinement in Photoshop
1:14:47 – Interior conclusion

PromeAI in Interior Design: Practical Use Cases

1:18:32 – Uni cafeteria (real case)
1:21:52 – Manhattan flat
1:23:49 – Office lounge + cafeteria
1:27:04 – Workflow & sector outlook

PromeAI Advanced

1:31:57 – Introduction
1:33:46 – It all starts with the concept
1:34:52 – The specific prompt
1:35:27 – Assignments & how to access them
1:36:54 – Brainstorming real projects with AI
1:45:43 – External generations – and why that´s essential
1:46:28 – What AI tools I use – and why
1:46:47 – AI as inspiration (in HiRes)
1:49:27 – Courses on landscape/building intergration
1:50:12 – Great concepts – and why they work
1:54:17 – Concept development workflow (step by step)
1:58:36 – The power of the Creativity (Slider)
2:01:26 – When results feel exactly right
2:02:40 – Photoshop + PromeAI = full control
2:08:12 – Region Rendering + Photoshop synergy
2:11:48 – Workflow conclusions
2:12:22 – Real cases & concept discussion
2:14:50 – How AI changes concept development
2:16:59 – AI in landscape architecture
2:17:44 – Cadman’s use of AI in ArchViz
2:19:31 – AI & people textures – first look
2:23:22 – Lock geometry + change materials
2:26:53 – Seasonal variations with AI
2:28:48 – Precision, resolution & pro expectations
2:29:19 – Sun direction & light with AI
2:32:03 – How AI works vs Classic ArchViz and the future of AI
2:36:57 – Same AI project, new views, light or seasons? The real workaround
2:47:27 – Final conclusions on AI in ArchViz
3:01:13 – AI Scenario Changer
3:04:55 – Consistency Rendering is not so consistent
3:10:59 – Aerial Rendering with AI
3:42:11 – AI & people in ArchViz – how I make it work
3:53:09 – Cut-outs with AI (trees, background etc.)
4:06:04 – Too many tools? Here’s how I navigate
4:06:54 – AI TextureLock Rendering
4:06:54 – AI Erase & Replace
4:10:04 – Image to Video, maybe not what I expected..
4:18:16 – AI-generated plan drawings
4:18:16 – Overall conclusion
4:28:58 – Assignments, consulting & 10% off
4:30:22 – More resources & courses
4:32:02 – Thanks & wrap-up

AI + Unreal Engine for Architects

Course Duration: 4 Hours
Includes: Interactive model + Useful resources

Why This Course?

Because the difference between exciting tech demos and client-ready architectural presentations is control.
This course teaches you how to control the full workflow, using AI tools and Unreal Engine to develop, iterate, and present a real project.

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AI + Unreal Engine for Architects – Course Timestamps

Segment 1: Laying the Foundations

00:00 Intro to the Course
00:19 Background: Danish Naval War Museum
05:43 Context Discussion
07:53 Chat GPT Writes Our Assignment
30:49 Concept Brainstorm with Midjourney
38:42 Context Discussion, Continued
42:03 Brainstorm with MidJourney, Continued
1:06:50 Extracting the 3D Site Model from Google Maps

Segment 2: From Concept to Blueprint

1:25:29 Intro
1:26:08 Chat GPT as All-in-One Consultant
1:41:45 The Finished Assignment
1:42:40 Contextual Discussion
1:48:41 Functions, Synergies, and Context: A 3D Brainstorm
1:58:46 Form Solutions in 3D
2:03:54 Construction Solutions in 3D
2:11:02 Conclusions in 3D
2:17:11 Integrating Interior and Exterior in 3D
2:18:14 The Final Building in Its Context
2:27:23 Key Perspectives & Stories
2:41:41 Assignment Overview & Conclusions
2:57:49 Outro Segment 2

Segment 3: From Blueprint to Presentation in Unreal

2:59:10 Intro
2:59:27 Project Update
3:09:12 Unreal Engine: What, Why, and When?
3:13:00 Unreal Introduction
3:18:36 Unreal Project Walkthrough
3:52:32 Conclusion

DALL-E, Stable Diffusion & Midjourney: AI, Copyright & the Berne Convention

Video Duration: 35 Minutes

Why This Video?

AI-generated art is transforming creative industries, but it also raises critical legal and ethical questions. Who owns AI-generated works? Can artists protect their styles from being used without consent? What does international copyright law say about this evolving landscape?

This video takes you deep into these questions, breaking down the complexities of AI-generated content, intellectual property law, and the Berne Convention. By the end, you will have a clear understanding of the legal challenges facing AI art and what they mean for artists, designers, and creative professionals.

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AI, Copyright & the Berne Convention – Video Timestamps

00:00 – Intro
02:42 – Deep Dive into International Copyright Law
04:57 – What Does the Berne Convention Say?
07:00 – DALL-E, Stable Diffusion, Midjourney, and the Berne Convention
09:57 – The Berne Convention in the USA
14:31 – How Can a Breach of the Berne Convention Happen?
17:58 – The Core Issue
19:09 – The LAION Database
20:01 – How Midjourney Inc. Makes Money on Artists Copyrighted Works
22:03 – National Copyright Law vs. the Berne Convention
23:15 – Law, Ethics, and Morals? Oh, and Money!
23:44 – The Core Issue, Continued
25:06 – Let s Stand Together as Artists!
26:03 – The Broader Perspective
29:12 – What is the End Goal?
30:41 – It is Quite Simple Really! – Conclusion

Bonus Course: DALL-E vs Midjourney (1h28m)

In this guide for architects and ArchViz artists, compare MidJourney and DALL-E with GPT-4 for architectural concept development. Discover their strengths, challenges, and impact on the future of architecture.

0:00 Intro
0:05 First Look at DALL-E with GPT-4 Integration
8:24 Conversational Image Generator with SimCity Graphics
15:00 OK, Maybe Not Just SimCity Graphics
20:30 DALL-E Makes Me Laugh
20:55 Market and Money: A Prediction
36:12 First Look at MidJourney 6.0
38:31 MidJourney Impresses Me with Concepts and Graphics
43:42 Super Intelligent Child but Impossible to Communicate With
44:38 MidJourney Impresses Me. Again.
51:52 Human vs. AI
56:34 Are Architects’ Jobs in Danger?
58:59 The Problem with This Tech in a Nutshell
1:01:45 Comparison: MidJourney vs. DALL-E
1:03:59 Hogwarts Blended with Contemporary Architecture… Wow!
1:06:08 Now and the Future: An Insider’s Prediction
1:10:26 The Nail on the Head About This Tech
1:12:33 Upscale Upgraded Massively
1:18:47 Conclusion
1:21:08 Concept Refinement in Adobe Photoshop with AI Tools
1:26:33 Brave New World

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 750 USD ex. VAT

Team Access (2-9 seats) Pay 2200 USD Multi-User License ex. VAT

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