train models with discrete outputs or to convert the problem into a continuous space where a generative address donuts can be applied so the variance and ganz is that it's very powerful in capturing the modes of the distribution right but it's not really truly understanding what images are as in disease you know you start from zero to generate X right so the question is you know if you increase the systems increase the image size assumably the modes of the distribution going to increase exponentially so ultimately you