Type | |
Stats | 163 21,400 7.8k |
Reviews | (33) |
Published | Jul 26, 2024 |
Base Model | |
Training | Epochs: 13 |
Usage Tips | Clip Skip: 2 Strength: 0.7 |
Hash | AutoV2 6EB0285A2D |
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 (864, 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, 864), 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.