Stable Diffusion is a powerful probabilistic generative model designed for high-quality image synthesis. It leverages diffusion processes to model complex data distributions, enabling realistic sample generation. Unlike traditional models, Stable Diffusion exhibits stability during training, ensuring robust and efficient learning.