Here is the implementation from this video! github.com/manicman1999/Matchue-StyleGAN Play around with it and see if you can make even better Pokemon images!
Your code for StyleGANs v1 is well documented and organised but is there any particular reason why you didn't add Gaussian noise in your g-block implementation?
I like how you made the code clean and simple, and the whole thing easy to understand. Your content is great for beginners trying to dive into the GANs world!
It is great effort. I have a little bit issue. when I "Train the models" the error "TypeError: Cannot convert a symbolic Keras input/output to a numpy array. This error may indicate that you're trying to pass a symbolic value to a NumPy call, which is not supported. Or, you may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model" occurs due to the line "loss = DiscriminatorModel.train_on_batch([real_images, latent_vectors], [real_labels, fake_labels, dummy_labels])" Please help anyone to resolve this issue
I like how you made the code clean and simple, and the whole thing easy to understand. Your content is great for beginners trying to dive into the GANs world!
Here is the implementation from this video! github.com/manicman1999/Matchue-StyleGAN
Play around with it and see if you can make even better Pokemon images!
Your code for StyleGANs v1 is well documented and organised but is there any particular reason why you didn't add Gaussian noise in your g-block implementation?
The data drive link is not working. Is there another way to access the data?
I like how you made the code clean and simple, and the whole thing easy to understand. Your content is great for beginners trying to dive into the GANs world!
Just wanna say thanks for the amazing content. I can imagine how difficult it is to do these videos.
Awesome. Would love to see more uses of StyleGAN.
Dude you need to get this on tiktok it would go viral this is so cool
thanks for this explanation!
Hi Matchue ,Nice Video ,Are we able to change color of the Pokemon
pretty awesome ;)
Amazing content
It is great effort. I have a little bit issue. when I "Train the models" the error "TypeError: Cannot convert a symbolic Keras input/output to a numpy array. This error may indicate that you're trying to pass a symbolic value to a NumPy call, which is not supported. Or, you may be trying to pass Keras symbolic inputs/outputs to a TF API that does not register dispatching, preventing Keras from automatically converting the API call to a lambda layer in the Functional Model" occurs due to the line "loss = DiscriminatorModel.train_on_batch([real_images, latent_vectors], [real_labels, fake_labels, dummy_labels])" Please help anyone to resolve this issue
cutie
r1_gradient_penalty doesn't work. Help
I like how you made the code clean and simple, and the whole thing easy to understand. Your content is great for beginners trying to dive into the GANs world!