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
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models	Add support for extracting and feeding conditioning latents directly into the model	2022-05-01 17:25:18 -06:00
utils	Add support for extracting and feeding conditioning latents directly into the model	2022-05-01 17:25:18 -06:00
__init__.py
api.py	Add support for extracting and feeding conditioning latents directly into the model	2022-05-01 17:25:18 -06:00
do_tts.py	Add support for extracting and feeding conditioning latents directly into the model	2022-05-01 17:25:18 -06:00
get_conditioning_latents.py	Add support for extracting and feeding conditioning latents directly into the model	2022-05-01 17:25:18 -06:00
is_this_from_tortoise.py
read.py	Add support for extracting and feeding conditioning latents directly into the model	2022-05-01 17:25:18 -06:00