Text-to-Speech
Transformers
Safetensors
PyTorch
English
Chinese
breeze
text-generation
speech-generation
voice-clone
voice-design
voice-direction
cuda
Instructions to use BreezeBlue/Breeze-TTS-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BreezeBlue/Breeze-TTS-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="BreezeBlue/Breeze-TTS-2")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("BreezeBlue/Breeze-TTS-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
docs: change open-source to release in README
Browse files
README.md
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## π° News
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- **[2026.08.25]** π We
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- **[2026.08.07]** π₯ We release the TTS benchmark suite for [voice design](https://github.com/breezeblue-ai/tts-voice-design-benchmark), [voice direction](https://github.com/breezeblue-ai/TTS-Voice-Direction-Benchmark), and [latency evaluation](https://github.com/breezeblue-ai/TTS-Latency-Benchmark).
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## π Introduction
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## π° News
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- **[2026.08.25]** π We release [Breeze TTS 2](https://huggingface.co/BreezeBlue/breeze-tts-2) model weights and the [PyTorch inference code](https://github.com/breezeblue-ai/breeze-tts).
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- **[2026.08.07]** π₯ We release the TTS benchmark suite for [voice design](https://github.com/breezeblue-ai/tts-voice-design-benchmark), [voice direction](https://github.com/breezeblue-ai/TTS-Voice-Direction-Benchmark), and [latency evaluation](https://github.com/breezeblue-ai/TTS-Latency-Benchmark).
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## π Introduction
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