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
Breeze-TTS-2 Vs S2 & Audio8 ?
#7
by Daankular - opened
https://huggingface.co/Audio8/Audio8-TTS-Preview-0.1b
https://huggingface.co/fishaudio/s2-pro
Can we get some more comparisons in quality and footprint?
Cheers
I for sure am impressed. I like lots of prosody and reaction to changes. Well, this one can shout like a demon, sing like a 1930s diva, notice and utilize tags..Not to mention response time measured in the milliseconds... at this size.. I find it a different league.