| import torch |
| import torchaudio |
| from zonos.model import Zonos |
| from zonos.conditioning import make_cond_dict |
|
|
| |
| model = Zonos.from_pretrained("Zyphra/Zonos-v0.1-transformer", device="cuda") |
|
|
| wav, sampling_rate = torchaudio.load("assets/exampleaudio.mp3") |
| speaker = model.make_speaker_embedding(wav, sampling_rate) |
|
|
| torch.manual_seed(421) |
|
|
| cond_dict = make_cond_dict(text="Hello, world!", speaker=speaker, language="en-us") |
| conditioning = model.prepare_conditioning(cond_dict) |
|
|
| codes = model.generate(conditioning) |
|
|
| wavs = model.autoencoder.decode(codes).cpu() |
| torchaudio.save("sample.wav", wavs[0], model.autoencoder.sampling_rate) |
|
|
