Commit Graph

33 Commits

Author SHA1 Message Date
mrq
d2aeadd754 cleaned up element order with Blocks, also added preset updating the samples/iterations counts 2023-02-05 03:53:46 +00:00
mrq
4274cce218 Added small optimization with caching latents, dropped Anaconda for just a py3.9 + pip + venv setup, added helper install scripts for such, cleaned up app.py, added flag '--low-vram' to disable minor optimizations 2023-02-04 01:50:57 +00:00
mrq
aafef3a140 Cleaned up the good-morning-sirs-dialect labels, fixed seed=0 not being a random seed, show seed on output 2023-02-03 01:25:03 +00:00
mrq
1eb92a1236 QoL fixes 2023-02-02 21:13:28 +00:00
James Betker
aad67d0e78 Merge pull request #233 from kianmeng/fix-typos
Fix typos
2023-01-17 18:24:24 -07:00
chris
0793800526 add explicit requirements.txt usage for dep installation 2023-01-11 10:50:18 -05:00
원빈 정
092b15eded Add reference of univnet implementation 2023-01-06 15:57:02 +09:00
Kian-Meng Ang
49bbdd597e Fix typos
Found via `codespell -S *.json -L splitted,nd,ser,broadcat`
2023-01-06 11:04:36 +08:00
James Betker
a5a0907e76 Update README.md 2022-12-05 13:16:36 -08:00
Harry Coultas Blum
75e920438a Added keyword argument 2022-07-08 14:28:24 +01:00
James Betker
83cc5eb5b4 Update README.md 2022-06-23 15:57:50 -07:00
Jai Mu
dc5b296636 Update README.md
Useless update but it was bothering me.
2022-05-22 00:56:06 +09:30
James Betker
849db260ba v2.4 2022-05-17 12:15:13 -06:00
James Betker
556172281d Release notes for 2.3 2022-05-12 20:26:24 -06:00
James Betker
ef2ce3fd05 Update README with suggestions for windows installation 2022-05-08 20:44:44 -06:00
James Betker
e18428166d v2.2 2022-05-06 00:11:10 -06:00
James Betker
4704eb1cef Update readme with prompt engineering 2022-05-03 21:32:06 -06:00
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