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- Parler-TTS
On the recordRead 9 Oct 202623 facts
Parler-TTS
On the record
- Commercial use
- Yesgithub.com · read 20 Sep 2026
- Export formats
- WAVgithub.com · read 20 Sep 2026
- Inference features
- The inference guide documents SDPA and Flash Attention 2, model compilation, batch generation, and audio streaming.github.com · read 8 Oct 2026
- Inference optimization
- The project describes support for SDPA, torch.compile, batching and streaming to improve inference speed.github.com · read 9 Oct 2026
- Installation
- The library can be installed from the GitHub repository with pip and run locally using Python.github.com · read 8 Oct 2026
- Integrations
- The model cards provide Transformers usage examples and links to Google Colab and Kaggle notebooks.huggingface.co · read 9 Oct 2026
- Languages
- 1github.com · read 20 Sep 2026
- License
- The repository identifies its license as Apache-2.0, and the model card also lists Apache-2.0.github.com · read 8 Oct 2026
- Local installation
- The library can be installed from the GitHub repository using pip.github.com · read 9 Oct 2026
- Model license
- The Mini v1 and Large v1 model cards identify the license as Apache 2.0.huggingface.co · read 9 Oct 2026
- Model sizes
- The Mini v1 model has about 0.9 billion parameters and the Large v1 model has about 2 billion parameters.huggingface.co · read 9 Oct 2026
- Open source
- The project says its datasets, preprocessing, training code and model weights are publicly released under permissive licenses.huggingface.co · read 9 Oct 2026
- Platform requirement
- The repository says Apple Silicon users need a nightly PyTorch build for bfloat16 support.github.com · read 9 Oct 2026
- Prompt controls
- Text prompts can control speech characteristics including gender, speaking rate, pitch, background noise and reverberation.huggingface.co · read 9 Oct 2026
- Provider availability
- The Mini v1 and Large v1 model pages state that neither model is deployed by an Inference Provider.huggingface.co · read 9 Oct 2026
- Purpose
- Parler-TTS is a lightweight text-to-speech model that generates natural-sounding speech in a requested speaker style.github.com · read 9 Oct 2026
- Related project
- The project is designed to accompany Data-Speech, a repository for speech dataset annotation.github.com · read 8 Oct 2026
- Speaker choices
- The Mini v1 checkpoint was trained on 34 named speakers to support speaker consistency across generations.huggingface.co · read 8 Oct 2026
