Web: https://www.reddit.com/r/MachineLearning/comments/sdn94j/p_fine_tuning_in_stylegan2_with_ada/

Jan. 27, 2022, 2:20 a.m. | /u/GHBTM

Machine Learning reddit.com

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, …

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