Diffusion Explainer breaks down how Stable Diffusion generates images from text prompts into interactive steps. It shows the main stages of the process: tokenizing and encoding text, refining an image representation from noise, and upscaling the image.
By switching prompts, you can observe how text and image representations connect to the generated result. It is a useful tool for building an intuitive understanding of diffusion models and image generation AI before going deeper into formulas or implementation details.
