Stable Diffusion - What, Why, How?

This course provides an overview of Stable Diffusion, a text-based image generation machine learning model. The learning outcomes include understanding how Stable Diffusion works, its differences from other models like DALL-E 2, and practical applications such as generating images and videos. The course teaches skills such as coding with the model, creating custom pipelines, and generating various types of images. The teaching method involves a video lecture format with demonstrations and comparisons. The intended audience for this course includes machine learning enthusiasts, AI researchers, and individuals interested in text-based image generation models.