3 commits

Author	SHA1	Message	Date
James Betker	39ec1b0db5	Support totally random voices (and make fixes to previous changes)	2022-05-02 15:40:03 -06:00
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	f7c8decfdb	Move everything into the tortoise/ subdirectory ... For eventual packaging.	2022-05-01 16:24:24 -06:00

Renamed from models/diffusion_decoder.py (Browse further)