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
[Demo] Breeze TTS 2 will be available in audio.cpp’s dev branch for testing. 6GB VRAM 3x faster than realtime. No Python.
#5 opened about 9 hours ago
by
audio-cpp
Fintune for other languages?
👍 2
#4 opened 1 day ago
by
krigeta
ComfyUI Ready 🎉
👍 2
#2 opened 1 day ago
by
drbaph
Demo for this model on Spaces
❤️ 1
2
#1 opened 2 days ago
by
multimodalart