5 Commits (1ac278e885ad495d9a546d246c683d794d102939)

Author	SHA1	Message	Date
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