6 Commits (e2a6dc1c0a65ddc161c4020c44ee2b9dae57b87b)

Author	SHA1	Message	Date
mrq	7b16b3e88a	;)	2023-03-14 15:48:09 +07:00
mrq	008a1f5f8f	simplified spawning the training process by having it spawn the distributed training processes in the train.py script, so it should work on Windows too	2023-03-11 01:37:00 +07:00
mrq	37cab14272	use torchrun instead for multigpu	2023-03-04 20:53:00 +07:00
mrq	e859a7c01d	experimental multi-gpu training (Linux only, because I can't into batch files)	2023-03-03 04:37:18 +07:00
mrq	602d477935	crunchbangs	2023-02-18 02:46:44 +07:00
mrq	d5c1433268	a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc.	2023-02-18 02:07:22 +07:00