14 Commits

Author	SHA1	Message	Date
Kohya S	57c565c402	support sample generation in TI training	2023-02-28 22:05:10 +09:00
Kohya S	dd523c94ff	sample images in training (not fully tested)	2023-02-27 17:48:32 +09:00
Kohya S	9ab964d0b8	Add Adafactor optimzier	2023-02-22 21:09:47 +09:00
Kohya S	663aad2b0d	refactor get_scheduler etc.	2023-02-20 22:47:43 +09:00
mgz-dev	b29c5a750c	expand optimizer options and refactor ... Refactor code to make it easier to add new optimizers, and support alternate optimizer parameters -move redundant code to train_util for initializing optimizers - add SGD Nesterov optimizers as option (since they are already available) - add new parameters which may be helpful for tuning existing and new optimizers	2023-02-19 17:45:09 -06:00
Kohya S	048e7cd428	add lion optimizer support	2023-02-19 15:26:14 +09:00
Kohya S	43c0a69843	Add noise_offset	2023-02-14 21:15:48 +09:00
Kohya S	188e54b760	support multiple init words	2023-02-11 15:00:11 +09:00
Kohya S	3a72e6f003	add tag dropout	2023-02-09 21:35:27 +09:00
Kohya S	e42b2f7aa9	conditional caption dropout (in progress)	2023-02-07 22:28:56 +09:00
Kohya S	ea2dfd09ef	update bucketing features	2023-02-05 21:37:46 +09:00
hitomi	26a81d075c	add --persistent_data_loader_workers option	2023-02-01 16:02:15 +08:00
Kohya S	25566182a8	Support newer traiing args	2023-01-26 21:37:14 +09:00
Kohya S	c1b14fcdd6	initial version of TI	2023-01-12 20:47:08 +09:00