Commit Graph

66 Commits

Author SHA1 Message Date
James Betker
958b939b64 Add setup 2022-05-02 21:24:34 -06:00
James Betker
19f38f454f Update README and update to version 2.1 2022-05-02 21:02:29 -06:00
James Betker
e4e8ebfc55 getting ready for 2.1 release 2022-05-02 20:20:50 -06:00
James Betker
01b783fc02 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
e8966d09cf ack 2022-04-27 23:22:55 -06:00
James Betker
5bd6f0fb9c tortoise-detect docs 2022-04-26 10:37:44 -06:00
James Betker
ad2419f31d updates 2022-04-25 21:28:18 -06:00
James Betker
e962c9bad7 update readme 2022-04-25 21:19:02 -06:00
James Betker
d96d2bd76e add regenerate option 2022-04-25 20:05:21 -06:00
James Betker
e877af5b0f update 2022-04-25 17:02:59 -06:00
James Betker
a3daadd121 Update documentation, add optional verbosity 2022-04-25 16:59:04 -06:00
James Betker
9f1aa57b8d Another update 2022-03-10 23:33:48 -07:00
James Betker
f36bb6006d Update readme 2022-03-10 23:32:35 -07:00
James Betker
16f5d4f625 Update docs 2022-02-03 22:18:21 -07:00
James Betker
e16ab82597 Initial commit 2022-01-27 23:19:29 -07:00
James Betker
e52926391c Initial commit 2022-01-27 21:33:15 -07:00