81e4d261b7
Added two flags/settings: embed output settings, slimmer computed voice latents
2023-02-08 14:14:28 +00:00
e45e4431d1
(finally) added the CVVP model weigh slider, latents export more data too for weighing against CVVP
2023-02-07 20:55:56 +00:00
5d76d47a49
added shell scripts for linux, wrapped sorted() for voice list, I guess
2023-02-06 21:54:31 -06:00
a3c077ba13
added setting to adjust autoregressive sample batch size
2023-02-06 22:31:06 +00:00
d8c88078f3
Added settings page, added checking for updates (disabled by default), some other things that I don't remember
2023-02-06 21:43:01 +00:00
edb6a173d3
added another (somewhat adequate) example, added metadata storage to generated files (need to add in a viewer later)
2023-02-06 14:17:41 +00:00
3c0648beaf
updated README (before I go mad trying to nitpick and edit it while getting distracted from an iToddler sperging)
2023-02-06 00:56:17 +00:00
b23f583c4e
Forgot to rename the cached latents to the new filename
2023-02-05 23:51:52 +00:00
c2c9b1b683
modified how conditional latents are computed (before, it just happened to only bother reading the first 102400/24000=4.26 seconds per audio input, now it will chunk it all to compute latents)
2023-02-05 23:25:41 +00:00
daebc6c21c
added button to refresh voice list, enabling KV caching for a bonerific speed increase (credit to https://github.com/152334H/tortoise-tts-fast/ )
2023-02-05 17:59:13 +00:00
7b767e1442
New tunable: pause size/breathing room (governs pause at the end of clips)
2023-02-05 14:45:51 +00:00
98dbf56d44
Skip combining if not splitting, also avoids reading back the audio files to combine them by keeping them in memory
2023-02-05 06:35:32 +00:00
d2aeadd754
cleaned up element order with Blocks, also added preset updating the samples/iterations counts
2023-02-05 03:53:46 +00:00
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
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
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
