to output many different images instead of outputting only one realistic image after we've sampled the input noisy we apply the generator function just like the discriminator the generator is a differentiable function controlled by some set of parameters and in other words it's usually a deep neural network after applying the function G to input noisy we obtain a value of x sampled in this case from the model like the face on the right this sample X will hopefully be reasonably similar to the data distribution but might have some