volotat / congan Goto Github PK

Hi Alex,
thanks for your work.
I was wondering if I could blow this architecture up.

I roughly think of something like this:
1024² as outputshape.
512(?)-size latentspace. I am very unsure about this, but have seen that you have used different sizes here for your different datasets. What approach did you use to estimate this?
Around 2000-3000 training examples.

Do you have any experience with this or can tell me already why this cannot work?

Cheers,
Joscha

Hi, great work on this I am getting this OSError while running this in google colab python3 gpu

Hi, Alex
It is nice work, good job. And could you tell more information about the image dataset?
thanks!

Hi, great work on this project, I was able to get outputs using your face dataset see output 100000 attached but not for my own dataset. One I tried 10 images and it was giving random outputs at 100000 and the other I tried 36 images and it was black output even up to 50000 so I stopped it. Does the data have to be all aligned and same direction for it to work?