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
- Xet hash:
- 2e686ce5815ddb5c26ff9de84c8a1f57a624650edd5c9e0bf71be79ff5c98963
- Size of remote file:
- 20 MB
- SHA256:
- 858cf32246e699cef49c00afe947043f2ad1660dbe0484732912c74365d21069
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