UNET only trained model on small dataset. Due to presence of old images in dataset resembles averaged over time nowa's style. Feel free to try getting distortions with following resolutions:
bucket 0: resolution (672, 1024), count: 2 (3:2)

bucket 1: resolution (768, 1024), count: 2 (3:4)

bucket 2: resolution (768, 1344), count: 109 (16:9)

bucket 3: resolution (832, 1184), count: 23 (5:4)

bucket 4: resolution (832, 1248), count: 100 (7:5)

bucket 5: resolution (8??, 1152), count: 112 (3:4)

bucket 6: resolution (896, 1120), count: 30 (5:4)

bucket 7: resolution (1024, 672), count: 1 (3:2)

bucket 8: resolution (1024, 768), count: 8 (3:4)

bucket 9: resolution (1024, 1024), count: 189 (1:1)

bucket 10: resolution (1120, 896), count: 38

bucket 11: resolution (1152, 8??), count: 96

bucket 12: resolution (1184, 832), count: 29

bucket 13: resolution (1248, 832), count: 100

bucket 14: resolution (1344, 768), count: 102
Personally don't like shadowing on initial release, plan to add noise offset.