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