As others have said, that's not the way a GAN should work. Regurgitating the training set is basically a failure mode that is actively avoided when the models are build and trained.
Looking at these images, and not familiar with how the underlying CG training set is made, I wonder if the original series itself has some comparatively small set of latent features - dimensions you could adjust when drawing the faces - that the model is just learning, so that newly generated faces are effectively the same thing as if one had changed whatever setting you tweak when working with the underlying tool.
Looking at these images, and not familiar with how the underlying CG training set is made, I wonder if the original series itself has some comparatively small set of latent features - dimensions you could adjust when drawing the faces - that the model is just learning, so that newly generated faces are effectively the same thing as if one had changed whatever setting you tweak when working with the underlying tool.