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I am actually working with DCGAN (Py-Torch implementation), and the output is always a 64-sized grid of artificial images per epoch. I would like to increase such number, but do not know (I do not know which parameter to change, but I tried to check the code without success). Does anyone have some idea of how to do that?

The entire Py-Torch implementation of DCGAN can be found in the following link: https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html

Luis Souza
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Change this value of below parameters to whatever the size of image you would want as output

Size of feature maps in generator

ngf = 64

Size of feature maps in discriminator

ndf = 64

Jaggernaut
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