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[P] Fine Tuning in StyleGAN2 with ADA
Right now I have a 10,000 sample set that were originally 24x24 pixels, I scaled them up to 256x256. The quality of the outputs seems to be deteriorating after day 3 or 4. The arguments listed in run_training.py are as follows:
dataset, data_dir, result_dir, resume_pkl (all directory and path args), num_gpus (set by hardware), mirror_augment (which I have set to false and don't see a need to turn on), metrics argument I have off.
This leaves config, gamma, total_kimg, image_snapshot_ticks, …