Text-to-Speech
Transformers
Safetensors
Chinese
English
audio
speech-recognition
voice-cloning
speech-editing
comfyui
Instructions to use t8star/Firered-Audio-Comfy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use t8star/Firered-Audio-Comfy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="t8star/Firered-Audio-Comfy")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("t8star/Firered-Audio-Comfy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "feature_extractor": { | |
| "chunk_length": 300, | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "n_fft": 400, | |
| "n_samples": 4800000, | |
| "nb_max_frames": 30000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| }, | |
| "processor_class": "FireRedAudioProcessor" | |
| } | |