Mustapha El Moussaoui, an architect and urbanist, currently is an assistant professor at the Free University of Bolzano, Italy.With a background in architecture and philosophy, Mustapha has been involved in educational courses across various countries and universities worldwide. Moreover, he has been engaged professionally in the domain with structures and competitions built and won all over the world. Mustapha's research focuses on the theoretical and practical relationship between architecture and artificial intelligence. Theoretically, his work investigates the epistemological and existential dimensions of artificial intelligence. Practically, Mustapha focuses on narrowing the hallucinatory gap between machine-generated outputs and human architectural authorship.

• Preface. Acknowledgment. List of Figures. List of Tables. 1. Introduction. PART1: THEORETICAL FOUNDATIONS. 2. Introduction to AI. 3. Core Components of AI. 4. Architectures of Learning: From Perceptrons to Multimodal Intelligence. 5. Latent Space: The Cognitive and Computational Foundation of Generative AI in Architecture. 6. From Stone to Simulation: The Evolution of Tools and Technologies in Architecture. 7. AI Tools in Architectural Practice: From Automation to Epistemic Partnership. 8. A Framework for Critical AI Practice: Ethics, Authorship, and the New Architectural Agency. Part 2: CONTROLLING THE HALLUCINATIONS—A PRACTICAL GUIDE. 9. Prompt Engineering for Architects. 10. MidJourney Interfaces: Discord vs. Web Platform. 11. MidJourney Discord Commands: Annotated Overview. 12. Architectural Scenarios and Command Applications in Discord. 13. Prompt Engineering Components. 14. Video Generation on Midjourney. 15. Midjourney Prompt Parameters Overview. 16. Practical Guide to Using COMFY UI in Architecture. 17. ComfyUI for Image Generation—Checkpoints, Prompts, and Sampling Logic. 18. Latent Conditioning and ControlNet—Precision Through Visual Guides. 19. Architectural Animation in ComfyUI—Video Generation and Consistency Control. 20. Image Preprocessing—Resizing, Scaling, and Alignment in the Latent Pipeline. 21. From Sketch to 3D—Constructing Volumetric Architecture in ComfyUI. 22. Reference-Based Iteration—Controlling Consistency with IPAdapter, ReferenceOnly, and Latent Anchors. 23. Regional Prompting and Multimodal Control—Layered Guidance in Architectural Generation. 24. Integrating AI into Grasshopper with APIs, MCP, and Assistant Plugins. 25. Integrating ComfyUI with Grasshopper—Parametric Data to Prompt-Driven Visualization. 26. KreaAI and Google’s Nano Banana. 27. Training and Using Custom LoRA Models—Office-Specific Style Conditioning. 28. Preparing AI Outputs for VR and AR—Toward Immersive Architectural Workflows. 29. Troubleshooting and Optimizing ComfyUI Workflows for Architectural Image Quality. 30. Useful Shortcuts for ComfyUI. Conclusion: From Latent Hallucinations to Architectural Epistemologies of Control. References. Index.

Mustapha El Moussaoui, an architect and urbanist, currently is an assistant professor at the Free University of Bolzano, Italy.With a background in architecture and philosophy, Mustapha has been involved in educational courses across various countries and universities worldwide. Moreover, he has been engaged professionally in the domain with structures and competitions built and won all over the world. Mustapha's research focuses on the theoretical and practical relationship between architecture and artificial intelligence. Theoretically, his work investigates the epistemological and existential dimensions of artificial intelligence. Practically, Mustapha focuses on narrowing the hallucinatory gap between machine-generated outputs and human architectural authorship.

• Preface. Acknowledgment. List of Figures. List of Tables. 1. Introduction. PART1: THEORETICAL FOUNDATIONS. 2. Introduction to AI. 3. Core Components of AI. 4. Architectures of Learning: From Perceptrons to Multimodal Intelligence. 5. Latent Space: The Cognitive and Computational Foundation of Generative AI in Architecture. 6. From Stone to Simulation: The Evolution of Tools and Technologies in Architecture. 7. AI Tools in Architectural Practice: From Automation to Epistemic Partnership. 8. A Framework for Critical AI Practice: Ethics, Authorship, and the New Architectural Agency. Part 2: CONTROLLING THE HALLUCINATIONS—A PRACTICAL GUIDE. 9. Prompt Engineering for Architects. 10. MidJourney Interfaces: Discord vs. Web Platform. 11. MidJourney Discord Commands: Annotated Overview. 12. Architectural Scenarios and Command Applications in Discord. 13. Prompt Engineering Components. 14. Video Generation on Midjourney. 15. Midjourney Prompt Parameters Overview. 16. Practical Guide to Using COMFY UI in Architecture. 17. ComfyUI for Image Generation—Checkpoints, Prompts, and Sampling Logic. 18. Latent Conditioning and ControlNet—Precision Through Visual Guides. 19. Architectural Animation in ComfyUI—Video Generation and Consistency Control. 20. Image Preprocessing—Resizing, Scaling, and Alignment in the Latent Pipeline. 21. From Sketch to 3D—Constructing Volumetric Architecture in ComfyUI. 22. Reference-Based Iteration—Controlling Consistency with IPAdapter, ReferenceOnly, and Latent Anchors. 23. Regional Prompting and Multimodal Control—Layered Guidance in Architectural Generation. 24. Integrating AI into Grasshopper with APIs, MCP, and Assistant Plugins. 25. Integrating ComfyUI with Grasshopper—Parametric Data to Prompt-Driven Visualization. 26. KreaAI and Google’s Nano Banana. 27. Training and Using Custom LoRA Models—Office-Specific Style Conditioning. 28. Preparing AI Outputs for VR and AR—Toward Immersive Architectural Workflows. 29. Troubleshooting and Optimizing ComfyUI Workflows for Architectural Image Quality. 30. Useful Shortcuts for ComfyUI. Conclusion: From Latent Hallucinations to Architectural Epistemologies of Control. References. Index.

Mustapha El Moussaoui, an architect and urbanist, currently is an assistant professor at the Free University of Bolzano, Italy.With a background in architecture and philosophy, Mustapha has been involved in educational courses across various countries and universities worldwide. Moreover, he has been engaged professionally in the domain with structures and competitions built and won all over the world. Mustapha's research focuses on the theoretical and practical relationship between architecture and artificial intelligence. Theoretically, his work investigates the epistemological and existential dimensions of artificial intelligence. Practically, Mustapha focuses on narrowing the hallucinatory gap between machine-generated outputs and human architectural authorship.

• Preface. Acknowledgment. List of Figures. List of Tables. 1. Introduction. PART1: THEORETICAL FOUNDATIONS. 2. Introduction to AI. 3. Core Components of AI. 4. Architectures of Learning: From Perceptrons to Multimodal Intelligence. 5. Latent Space: The Cognitive and Computational Foundation of Generative AI in Architecture. 6. From Stone to Simulation: The Evolution of Tools and Technologies in Architecture. 7. AI Tools in Architectural Practice: From Automation to Epistemic Partnership. 8. A Framework for Critical AI Practice: Ethics, Authorship, and the New Architectural Agency. Part 2: CONTROLLING THE HALLUCINATIONS—A PRACTICAL GUIDE. 9. Prompt Engineering for Architects. 10. MidJourney Interfaces: Discord vs. Web Platform. 11. MidJourney Discord Commands: Annotated Overview. 12. Architectural Scenarios and Command Applications in Discord. 13. Prompt Engineering Components. 14. Video Generation on Midjourney. 15. Midjourney Prompt Parameters Overview. 16. Practical Guide to Using COMFY UI in Architecture. 17. ComfyUI for Image Generation—Checkpoints, Prompts, and Sampling Logic. 18. Latent Conditioning and ControlNet—Precision Through Visual Guides. 19. Architectural Animation in ComfyUI—Video Generation and Consistency Control. 20. Image Preprocessing—Resizing, Scaling, and Alignment in the Latent Pipeline. 21. From Sketch to 3D—Constructing Volumetric Architecture in ComfyUI. 22. Reference-Based Iteration—Controlling Consistency with IPAdapter, ReferenceOnly, and Latent Anchors. 23. Regional Prompting and Multimodal Control—Layered Guidance in Architectural Generation. 24. Integrating AI into Grasshopper with APIs, MCP, and Assistant Plugins. 25. Integrating ComfyUI with Grasshopper—Parametric Data to Prompt-Driven Visualization. 26. KreaAI and Google’s Nano Banana. 27. Training and Using Custom LoRA Models—Office-Specific Style Conditioning. 28. Preparing AI Outputs for VR and AR—Toward Immersive Architectural Workflows. 29. Troubleshooting and Optimizing ComfyUI Workflows for Architectural Image Quality. 30. Useful Shortcuts for ComfyUI. Conclusion: From Latent Hallucinations to Architectural Epistemologies of Control. References. Index.