AIUI diffusion models of images are trained to make a noisy image into an image without noise (reverse diffusion). Then when an image is required, the system starts with white noise, and maybe a prompt, and then iteratively performs reverse diffusion - guided by the prompt - to produce a final image.

You can enhance an image by [forward] diffusing it, then feeding it to the NN created to perform the reverse diffusion.