Trained on 256px but inference on 512px?

As far as I understand the training config, IP2P was trained on 256x256 images but images in the paper are generated at 512px.

1. Doesn't training at a different resolution than inference impact performance?
2. If so, why did you train on 256px? Did you try training on 512px?