Reprogramming Creativity; AI Design Without Limits
Take creative control with Stable Diffusion and ControlNets—so your designs reflect your vision, not just the algorithm’s output.
Course Overview
AI is transforming design, but most tools limit your control—producing generic results that don’t fully align with your vision. What if you could direct AI to work for you rather than adjusting to its limitations?
Reprogramming Creativity: AI Design Without Limits empowers designers, architects, and creatives to take charge of AI-driven workflows. Led by Ismail Seleit, this course dives into Stable Diffusion, Automatic1111, and ControlNets, enabling you to guide AI with sketches, depth maps, and real-world design tools like Revit and Rhino. You'll explore image-to-image workflows, inpainting, LoRAs, and advanced prompting techniques—ensuring AI enhances your creativity rather than restricting it.
By the end of this course, you'll be able to create high-quality, controlled AI-generated designs that seamlessly integrate into your professional workflow. Ready to take control? Enroll now.
What you’ll learn
Stable Diffusion & Automatic1111
Take full control of AI-generated designs with structured workflows, advanced settings, and precise image generation
ControlNets & LoRAs
Guide AI outputs using sketches, depth maps, and custom-trained models for tailored design results
Revit, Rhino & Enscape Integration
Seamlessly merge AI-generated visuals with industry-standard architectural tools for real-world applications
Image Refinement, ComfyUI & Fooocus
Enhance, edit, and fine-tune AI images using inpainting, advanced workflows, and intuitive AI tools
Why Take This Course?
The nature of creative work is shifting, AI is no longer just a tool; it's becoming a fundamental part of the design process. Those who know how to use it effectively will gain an edge, while those who don’t risk being left behind. This course isn’t just about learning AI; it’s about leveraging it to future-proof your skills and career. Unlike closed AI systems that limit your options, Stable Diffusion is open-source, customizable, and incredibly powerful—but only if you know how to use it right. Instructor Ismail Seleit has applied these techniques in real-world projects, pushing the boundaries of AI-driven design and expanding his creative opportunities in ways traditional tools couldn’t. He is widely recognized for his expertise in teaching AI workflows to designers and architects.
Those who understand AI’s true potential aren’t just keeping up with change—they’re leading it.
Do you need a genius assistant in your team to thrive in a competitive and tech-driven creative landscape?
Expert-Led
Taught by Ismail Seleit, a leading voice in architecture and AI
Online Format
Fully online with lifetime access, so you can learn at your own pace
Hands-on practice
Gain practical experience through interactive exercises
Certification
All students receive an industry-recognized certificate of completion
Who is this course for
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Who is this course for *
This course is open to all designers passionate about expanding their creativity through AI
Students
Interested in new ways of practicing and exploring their ideas
Artists
Exploring new mediums to express their wild concepts
Professionals
Seeking innovative and cutting-edge ways to enhance their work efficiency
Designers
aiming to enhance their skills to create more impactful and visually compelling narratives
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Chapter 1
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Lesson 1: Introduction to Diffusion Models
Learn how AI tools like Stable Diffusion and ControlNets can fit into your design process, giving you more creative control and better results.
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Lesson 2: Navigating Automatic1111 – Essential Parameters & Control
This session explores key Automatic1111 settings like batch size, CFG scale, and seed numbers, along with an introduction to ControlNets for guiding AI outputs with sketches and depth maps.
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Lesson 3: Sketch-to-Image Workflows with ControlNets
This session covers the Sketch-to-Image workflow using ControlNets in Automatic1111, showing how to guide AI-generated designs with sketches while balancing precision and creative flexibility.
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Lesson 4: From Revit Massing to AI-Generated Images
This session covers how to convert Revit massing models into AI-generated images using ControlNets, edge detection techniques, and scale references to create more structured and accurate design outputs.
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Lesson 5: Rhino to AI Workflow
This session explores how to export Rhino models as images and use depth maps and ControlNets to guide AI-generated designs with better spatial accuracy and structure.
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Lesson 6: Refining Enscape Renders & Image-to-Image Workflow
This session covers how to refine Enscape renders and AI-generated images using the image-to-image workflow in Automatic1111, combining ControlNets, depth maps, and denoising strength for better structure and realism.
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Lesson 07: Urban Diffusion and Inpainting
This session explores inpainting in Automatic1111, showing how to modify specific parts of an image while keeping the surrounding context intact. It also covers ControlNets and denoising strength for more precise AI-driven urban design iterations.
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Lesson 08: Image Prompting with IP Adapters
This session covers IP Adapters in Automatic1111, showing how to use reference images for style transfer while maintaining structure with ControlNets. It also explores combining Midjourney outputs with Stable Diffusion for greater control.
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Chapter 2
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Lesson 9: Customizing AI Outputs with LoRAs
This session covers LoRAs in Automatic1111, explaining how they fine-tune AI for specific styles. It explores installing, combining, and adjusting LoRAs to create custom architectural designs with more control.
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Lesson 10: Training Your Own LoRAs
This session introduces the basics of training LoRA models, covering dataset preparation, AI training tools, and how to test them in Automatic1111 and ComfyUI.
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Lesson 11: Dynamic Prompts, Prompt Travel & Regional Conditioning
This session covers advanced AI prompting techniques, including Dynamic Prompts for automated variations, Prompt Travel for morphing between designs, and Regional Conditioning for assigning different prompts to specific areas of an image.
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Lesson 12: ComfyUI and IC lighting
This session introduces ComfyUI, a node-based interface for customizing AI workflows. It covers AI-powered relighting using IC Light, showing how to modify lighting conditions while preserving architectural details.
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Lesson 13: Inpainting and Object Addition with Fooocus
This session explores Fooocus, a simplified AI tool for Stable Diffusion. It covers inpainting for refining details, object addition, and how LLM-based prompt enhancement improves AI-generated results.
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Lesson 14: Final Resources & Next Steps
This session provides key resources for further AI exploration, including FormFinder, CivitAI, and Replicate, along with ways to stay updated and connected through LinkedIn.
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Meet Your Instructor
Ismail Seleit
Ismail Seleit is a visionary leader in the world of computational design, BIM and AI-driven architecture, blending cutting-edge technology with creative innovation. With over 10 years of experience, Ismail has worked with renowned organizations, such as Foster + Partners, leading projects that push the boundaries of architecture.
As a passionate educator and mentor, Ismail has guided countless professionals and students to excel in integrating AI tools into their workflows, turning ideas into concrete, impactful outcomes. His work demonstrates a dedication to advancing creativity through technology, making him a highly regarded expert in the industry.
Join Ismail’s course to gain exclusive insights from his wealth of experience and learn how to master the tools and techniques shaping the future of architecture and design.
Receive a professional certificate upon completion, perfect for showcasing your skills.
Get anytime access to our growing collection of classes, workshops, and exclusive content. New items added every month.
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FAQs
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This course is perfect for designers, architects, and creatives who want more control over AI-generated visuals. Whether you're new to AI tools or looking to refine your workflow, you'll gain practical skills to integrate AI into your design process.
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No prior experience is required! This course covers everything from the basics of Stable Diffusion and Automatic1111 to advanced techniques like ControlNets, LoRAs, inpainting, and image-to-image workflows. Whether you're a beginner or an experienced designer looking for more structured AI workflows, you’ll find value in this course.
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The course primarily focuses on Stable Diffusion inside the Automatic1111 interface. You will also explore ControlNets, LoRAs, ComfyUI, Fooocus, and IP Adapters, as well as workflows that integrate AI with professional tools like Revit and Rhino.
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Unlike other AI courses that focus on automation, this course emphasizes control and precision, giving designers the flexibility to shape results according to their vision rather than relying on random AI outputs.
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Yes! The course is self-paced, meaning you can learn whenever it’s convenient for you. All materials will be available for you to revisit anytime.
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Absolutely! You’re encouraged to share your work on social media and tag us. The instructor loves seeing student creations and interacting with the community.
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You would have access to all the videos either forever or up to one year depending on your purchase method.
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Yes, upon completing the course, you'll earn a professional certificate from AI Hub, showcasing your expertise in AI-driven workflows.