hi @ptrblck! I actually want to do something sort of similar - using a trained DCGAN, I would like to give the encoder a new image  and visualize what the decoder’s output would look like if I changed one latent variable and kept the rest constant.
Using the code from the official [DCGAN (Pytorch)], (https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html 79) I’m wondering how to interpolate the latent space. Any help appreciated!