Why use ControlNet with Stable Diffusion?

It lets you guide the AI output using your own geometry or sketch as a structural reference.

Is Stable Diffusion free to use?

The base model is open-source, though many workflows use paid hosting or plugins.

What is Stable Diffusion used for in architecture?

Stable Diffusion is an open-source image generation model used in architecture for concept visualization, AI rendering, image-to-image design exploration and controlled generation with ControlNet spatial guidance. At PAACADEMY, it is taught in over 15 courses including Generative Architecture with AI 2.0 , covering weighted prompting, LoRAs, ControlNet and SDXL integration into Photoshop and Rhino workflows.

What does Generative Architecture with AI 2.0 (SD+FLUX) cover?

Generative Architecture with AI 2.0 by Fredy Fortich covers generative AI applications being researched at innovative architectural firms; the core technical parameters of Stable Diffusion including weighted prompting, LoRAs, seeds, steps, ControlNet and denoising; and customized SDXL segmentation techniques for use in Photoshop and Rhino. The course runs 8 hours across 10 intermediate-level lessons.

How does Stable Diffusion differ from Midjourney for architectural work?

Stable Diffusion is an open-source model that can be run locally or through platforms like ComfyUI and DreamStudio AI, with full control over generation parameters, LoRA customization and ControlNet spatial guidance. Midjourney is a subscription-based service with a fixed interface and no local model access. PAACADEMY teaches both, with Stable Diffusion courses covering technical workflow construction and Midjourney courses focusing on prompt-driven concept design.