Stable Diffusion is a revolutionary deep learning model that transforms text descriptions into detailed, high-quality images. As an open-source latent diffusion model, it has democratized AI image generation, making it accessible to researchers, artists, and developers worldwide.
The diffusion process is the core of how Stable Diffusion works. It begins with pure random noise and gradually removes this noise step by step. Each denoising step is guided by text embeddings that encode the meaning of your prompt, steering the generation toward the desired image. This iterative refinement process transforms chaos into coherent, detailed images.