Option 2, "Image generation," is a common usage of Stable Diffusion models. Stable Diffusion models are a type of generative model designed for image generation tasks. They can be used to generate realistic and diverse images by sampling from the learned distribution of the training data. These models are trained to capture complex patterns and variations in the input data, making them suitable for tasks like generating new images that resemble the ones seen during training.