gh level, a diffusion model takes a prompt and some random initial noise, and iteratively removes the noise to construct an image. The denoising process is guided by the prompt, and once the denoising process ends after a predetermined number of time steps, the image representation is decoded into an image. Read the How does Stable Diffusion work? blog post to learn more about how a latent diffusion model works. You can generate images from a p