The models in networks_tf.py can be used with the weights from the official repository, which I have converted to PyTorch state dicts.

Download converted weights: Places2 | CelebA-HQ (for networks_tf.py)

The networks in networks_tf.py use TensorFlow-compatibility functions (padding, down-sampling), while the networks in networks.py do not. In order to adjust the weights to the different settings, the model was trained on Places2/CelebA-HQ for some time using the pretrained weights as initialization.

Download fine-tuned weights: Places2 | CelebA-HQ (for networks.py)