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
| { | |
| "bos_token_id": 2, | |
| "depth_decoder_do_sample": true, | |
| "depth_decoder_temperature": 0.9, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1 | |
| ], | |
| "max_new_tokens": 750, | |
| "pad_token_id": 0, | |
| "temperature": 0.9, | |
| "transformers_version": "4.57.3" | |
| } | |