This course explores the framework of applying Generative AI tools to the workflow of architectural design, specifically Stable Diffusion ComfyUI, in a user-friendly manner, showcasing the software's properties, elements important parameters for proper utilization relevant to the field of architecture, visualization, and general software skill development regarding the practice of architectural design.

Within this course, students will be introduced to Stable Diffusion ComfyUI and its navigation, as well as showcasing the program's essential parameters and basic mechanisms to produce Text-to-Image and Image-to-Image based AI generations, the course will emphasize more regarding Stable Diffusion's relevancy to the workflow of the design process for architectural design projects, such as conceptual brainstorming, experimenting different design approaches, and conceptual renders.

The course curriculum is to be structured in 2 main phases, the first phase will focus on Text-to-Image generations which will be helpful in regard to architectural concept navigations, and the second phase will be capturing Image-to-Image generations specifically related to an architectural design case, which will highlight the program's important implementations of architectural design process, mainly in architectural massing developments and architectural renderings, within this phase, the course will be implementing other software's within the design process (using Rhino3D & Photoshop), for showcasing such an integration between the design tools.

Overall, the course content is structured according to the element that highlights Stable Diffusion ComfyUI's important contribution to design processes within the architectural scale, thus, this course is seen to be an essential course as an introduction for Generative AI utilization for architects and designers, opening frontiers for the learners of the construction of rich design proposals.