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## Changelog |
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#### v3.0.0; 2023/10/18 |
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- Added fast inference for tortoise with HiFi Decoder (inspired by xtts by [coquiTTS](https://github.com/coqui-ai/TTS) 🐸, check out their multilingual model for noncommercial uses) |
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#### v2.8.0; 2023/9/13 |
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- Added custom tokenizer for non-english models |
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#### v2.7.0; 2023/7/26 |
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- Bug fixes |
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- Added Apple Silicon Support |
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- Updated Transformer version |
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#### v2.6.0; 2023/7/26 |
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- Bug fixes |
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#### v2.5.0; 2023/7/09 |
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- Added kv_cache support 5x faster |
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- Added deepspeed support 10x faster |
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- Added half precision support |
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#### v2.4.0; 2022/5/17 |
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- Removed CVVP model. Found that it does not, in fact, make an appreciable difference in the output. |
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- Add better debugging support; existing tools now spit out debug files which can be used to reproduce bad runs. |
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#### v2.3.0; 2022/5/12 |
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- New CLVP-large model for further improved decoding guidance. |
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- Improvements to read.py and do_tts.py (new options) |
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#### v2.2.0; 2022/5/5 |
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- Added several new voices from the training set. |
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- Automated redaction. Wrap the text you want to use to prompt the model but not be spoken in brackets. |
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- Bug fixes |
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#### v2.1.0; 2022/5/2 |
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- Added ability to produce totally random voices. |
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- Added ability to download voice conditioning latent via a script, and then use a user-provided conditioning latent. |
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- Added ability to use your own pretrained models. |
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- Refactored directory structures. |
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- Performance improvements & bug fixes. |
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