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forked from mrq/tortoise-tts
tortoise-tts/tortoise/models
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
..
arch_util.py Move everything into the tortoise/ subdirectory 2022-05-01 16:24:24 -06:00
autoregressive.py Add support for extracting and feeding conditioning latents directly into the model 2022-05-01 17:25:18 -06:00
classifier.py Move everything into the tortoise/ subdirectory 2022-05-01 16:24:24 -06:00
clvp.py Move everything into the tortoise/ subdirectory 2022-05-01 16:24:24 -06:00
diffusion_decoder.py Add support for extracting and feeding conditioning latents directly into the model 2022-05-01 17:25:18 -06:00
transformer.py Move everything into the tortoise/ subdirectory 2022-05-01 16:24:24 -06:00
vocoder.py Move everything into the tortoise/ subdirectory 2022-05-01 16:24:24 -06:00
xtransformers.py Move everything into the tortoise/ subdirectory 2022-05-01 16:24:24 -06:00