13 commits

Author	SHA1	Message	Date
James Betker	0ffc191408	Add support for extracting and feeding conditioning latents directly into the model ... - Adds a new script and API endpoints for doing this - Reworks autoregressive and diffusion models so that the conditioning is computed separately (which will actually provide a mild performance boost) - Updates README This is untested. Need to do the following manual tests (and someday write unit tests for this behemoth before it becomes a problem..) 1) Does get_conditioning_latents.py work? 2) Can I feed those latents back into the model by creating a new voice? 3) Can I still mix and match voices (both with conditioning latents and normal voices) with read.py?	2022-05-01 17:25:18 -06:00
James Betker	e857911fca	ack	2022-04-27 23:22:55 -06:00
James Betker	524ae1a5a8	tortoise-detect docs	2022-04-26 10:37:44 -06:00
James Betker	26611b158e	updates	2022-04-25 21:28:18 -06:00
James Betker	cbc7ba0a63	update readme	2022-04-25 21:19:02 -06:00
James Betker	2a5166d9e1	add regenerate option	2022-04-25 20:05:21 -06:00
James Betker	073b27ccbe	update	2022-04-25 17:02:59 -06:00
James Betker	a064290559	Update documentation, add optional verbosity	2022-04-25 16:59:04 -06:00
James Betker	31f7372024	Another update	2022-03-10 23:33:48 -07:00
James Betker	048b0996bc	Update readme	2022-03-10 23:32:35 -07:00
James Betker	1a2fb5db63	Update docs	2022-02-03 22:18:21 -07:00
James Betker	5a958b4f4b	Initial commit	2022-01-27 23:19:29 -07:00
James Betker	051f500010	Initial commit	2022-01-27 21:33:15 -07:00