Discriminator weights

Hello!

Could I kindly ask whether it would be possible to share the discriminator weights for the configurations using 1, 2, and 4 input images? I found the generator checkpoints in the repository, but I am interested in the complete set of trained weights, including the discriminator.

As I understand, the number of input images is critical for the discriminator configuration, since the number of low-resolution input frames changes depending on the setup.

In particular, I noticed the following discriminator configuration:

network_d:
type: SSR_UNetDiscriminatorSN
num_in_ch: 9 # RGB of Real/Fake image + [optional] old high-res image + [optional] low-res images
num_feat: 64
skip_connection: True

Thank you very much in advance!