# Generative Architecture with AI 2.0 (SD+FLUX) > The new Generative Architecture AI 2.0 (SD + FLUX + VIDEO) studio is a three-part sequel to Fredy Fortich’s PAACADEMY workshop. It retains the robust image-generation workflow of the first edition while introducing a complete, text-to-video pipeline, deeper FLUX 1.1 techni… ## At a glance - Format: On-demand course - Price: €119.00 (list €140.00) - Difficulty: Intermediate - Duration: 8 Hours - Schedule: Aug 2-3, 2025 - Instructors: Fredy Fortich - Categories: Architectural Design, Artificial Intelligence - Software: Stable Diffusion, Flux, ComfyUI, Runway ML, Adobe Photoshop - Students: 69 - Rating: 5.0 / 5 - Canonical: https://paacademy.com/course/generative-architecture-with-ai-2-0-sd-flux - Enroll: https://paacademy.com/course/generative-architecture-with-ai-2-0-sd-flux --- ## About this course Generative Architecture with AI 2.0 (SD+FLUX) is a course that teaches architects to integrate Stable Diffusion, FLUX, and text-to-video tools into advanced design workflows. Building on a prior edition, students apply weighted prompting, LoRAs, and ControlNet with a segmentation-to-Photoshop technique, master FLUX 1.1 inpainting and upscaling within custom ComfyUI workflows, and combine multimodal SDXL and FLUX pipelines with LLM-assisted refinement before producing a final cinematic video using Runway ML. The course is Intermediate level and takes architects from 3D massing models to competition-ready pitch videos. ## What you'll learn - Overview of Generative AI applications being researched and developed at one of the top innovative architectural firms. - Weighted Prompting, LoRas, Seeds, Steps, ControlNet, and Denoising. - Customized SDXL Segmentation technique for Photoshop and/or Rhino. - Flux Upscaling Techniques. - Multimodal workflow: Rendering tools + Forge SD + Photoshop AI + Comfy SD/FLUX. - Advanced upscaling techniques for architectural workflows, including the use of LLMs + Diffusion models. - FLUX inpainting techniques. - FLUX Photoshop-styled Compositor custom workflow. - Img-to-Video workflows using Runway. ## Methodology As generative AI tools become increasingly integral to design workflows, the challenge is no longer just about using them. It’s about mastering them with intent. While simple prompts can spark ideas, they fall short when delivering site-specific, context-aware solutions. As projects progress, architects need more than just automation; they require structured, deliberate methodologies that provide control over AI-driven processes. In this workshop, you will learn how to work with a multimodal approach, utilizing your 3D model with traditional tools such as Rendering tools and Adobe Photoshop, as well as the latest technologies, including Stable Diffusion (SD), FLUX, and text-to-video models. - Fundamentals Lecture: AI in practice; Diffusion model basics, Workshop SDXL, segmentation primer - Image Mastery Workshop: ComfyUI build; LoRA applications upscaling & denoise techniques - Storytelling Workshop: AnimateDiff SDXL + motion-LoRA; Runway Gen-2 image-to-video In this workshop, you will learn to use custom workflows using the basics you learned the day before. Next, you will learn Upscaling and a multimodal SDXL+Flux workflow that also leverages LLM advantages to improve your image precision and prompting efficiency. You will receive multiple custom ComfyUI workflows, including Flux Denoising, Step Comparer, Compositing, Inpainting, and Upscaling, that will elevate your image refinement to the next level. Finally, this workshop will teach you how to leverage all that you have learned to make a final video that showcases all techniques: from segmentation to illustration to final video renders. Generative Architecture with AI 2.0 equips you with exactly that speed-to-vision advantage, pairing Fredy Fortich’s rigorously tested SD + FLUX workflows, utilizing state-of-the-art video tools, to ensure your proposals stand out in competitions, pitches, and social media teasers alike. ## Curriculum ### Session 1 - Intro + PAACADEMY Updates (04:50) - Data-Driven Architecture (40:12) - Architectural AI Customization Tools (39:25) - Diffusion Basics & Prompting Techniques (01:02:18) - ControlNet in Stable Diffusion (41:58) - Segmentation in Generative Design (37:26) ### Session 2 - Architectural ControlNet Design Guide (56:27) - Advanced ComfyUI Image Generation (57:34) - Clip Prompting in Flux (56:20) - Targeted Image Editing Workflow (56:31) ## FAQ ### What will I learn in the Generative Architecture with AI 2.0 workshop? You will learn advanced workflows using Stable Diffusion, FLUX, ComfyUI, and text-to-video tools for architectural design, including prompting, ControlNet, segmentation, inpainting, upscaling, compositing, and image-to-video workflows. ### What prior knowledge or experience is helpful for this workshop? The workshop builds on diffusion-model basics and architectural workflows, including 3D models, rendering tools, and Photoshop, so familiarity with these areas may help you follow the multimodal workflow more effectively. ### Which software and AI tools will I use during the workshop? The workshop uses Stable Diffusion, FLUX, ComfyUI, Runway ML, and Adobe Photoshop, combining them with rendering tools and 3D models in an integrated architectural workflow. ### What kinds of architectural workflows and projects will I work through? You will work through workflows that move from 3D massing and segmentation to AI-generated images, refinement and compositing, upscaling, and ultimately cinematic pitch videos using image-to-video techniques. ### What practical outcome can I expect to achieve after the workshop? You will learn to build and use custom ComfyUI workflows for denoising, step comparison, compositing, inpainting, and upscaling, and apply the techniques together to create a final video showcasing the complete workflow.