Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

BreezeBlue
/
Breeze-TTS-2

Text-to-Speech
Transformers
Safetensors
PyTorch
English
Chinese
breeze
text-generation
speech-generation
voice-clone
voice-design
voice-direction
cuda
Model card Files Files and versions
xet
Community
5

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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

[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
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs