Text-to-Speech
Transformers
Safetensors
PyTorch
English
Chinese
breeze
text-generation
cuda
english
chinese
speech-generation
voice-clone
voice-design
voice-direction
comfyui
int8
convrot
quantization
quantised
hadamard
Instructions to use drbaph/Breeze-TTS-2-comfyui with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drbaph/Breeze-TTS-2-comfyui with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="drbaph/Breeze-TTS-2-comfyui")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("drbaph/Breeze-TTS-2-comfyui", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "chunk_length_s": null, | |
| "feature_extractor_type": "EncodecFeatureExtractor", | |
| "feature_size": 1, | |
| "overlap": null, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 24000 | |
| } | |