This model is quantized to int8 and converted to the OpenVINO IR format from
hexgrad/Kokoro-82M using the
OpenVINO Toolkit.
The original model is distributed under the
apache-2.0 license. More details can be found in the
original model card.
You can run this basic cell on
Google Colab.
Listen to samples. For more languages and details, see
Advanced Usage.
1!pip install -q kokoro>=0.9.2 soundfile
2!apt-get -qq -y install espeak-ng > /dev/null 2>&1
3from kokoro import KPipeline
4from IPython.display import display, Audio
5import soundfile as sf
6import torch
7pipeline = KPipeline(lang_code='a')
8text = '''
9[Kokoro](/kˈOkəɹO/) is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, [Kokoro](/kˈOkəɹO/) can be deployed anywhere from production environments to personal projects.
10'''
11generator = pipeline(text, voice='af_heart')
12for i, (gs, ps, audio) in enumerate(generator):
13 print(i, gs, ps)
14 display(Audio(data=audio, rate=24000, autoplay=i==0))
15 sf.write(f'{i}.wav', audio, 24000)
The following CC BY audio was part of the dataset used to train Kokoro v1.0.