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[–]Ending_Credits 2 points3 points  (1 child)

No data augmentation beyond the standard mirror used during training. My dataset is split into folders by character (500 images from each of the top 500 character tags, although in practice it tends to be 200-400 due to face detection failure). I just grab one or more of those folders, remake the dataset, and then train for one more tick (60k iterations).

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More samples:

Saberfaces (about 4000 mages)

https://i.imgur.com/Q65jElX.mp4

Louise Francoise (just 350 images)

https://i.imgur.com/ouGdWbu.mp4

[–]gwern 0 points1 point  (0 children)

I'm not surprised those work (or that you got so many Sabers out). If Asuka & Holo work, why not them? Data augmentation would probably allow better results from training longer before you get artifacts from overfitting.