README.md

---
license: apache-2.0
language:
- en
base_model:
- yl4579/StyleTTS2-LJSpeech
pipeline_tag: text-to-speech
---
🐈 GitHub: https://github.com/hexgrad/kokoro

🚀 Demo: https://hf.co/spaces/hexgrad/Kokoro-TTS

<audio controls><source src="https://huggingface.co/hexgrad/Kokoro-82M/resolve/main/samples/HEARME.wav" type="audio/wav"></audio>

**Kokoro** 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 can be deployed anywhere from production environments to personal projects.

- [Releases](#releases)
- [Usage](#usage)
- [EVAL.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/EVAL.md) ↗️
- [SAMPLES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md) ↗️
- [VOICES.md](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md) ↗️
- [Model Facts](#model-facts)
- [Training Details](#training-details)
- [Creative Commons Attribution](#creative-commons-attribution)
- [Acknowledgements](#acknowledgements)

### Releases

| Model | Published | Training Data | Langs & Voices | SHA256 |
| ----- | --------- | ------------- | -------------- | ------ |
| **v1.0** | **2025 Jan 27** | **Few hundred hrs** | [**8 & 54**](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md) | `496dba11` |
| [v0.19](https://huggingface.co/hexgrad/kLegacy/tree/main/v0.19) | 2024 Dec 25 | <100 hrs | 1 & 10 | `3b0c392f` |

| Training Costs | v0.19 | v1.0 | **Total** |
| -------------- | ----- | ---- | ----- |
| in A100 80GB GPU hours | 500 | 500 | **1000** |
| average hourly rate | $0.80/h | $1.20/h | **$1/h** |
| in USD | $400 | $600 | **$1000** |

### Usage
You can run this basic cell on [Google Colab](https://colab.research.google.com/). [Listen to samples](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md). For more languages and details, see [Advanced Usage](https://github.com/hexgrad/kokoro?tab=readme-ov-file#advanced-usage).
```py
!pip install -q kokoro>=0.9.2 soundfile
!apt-get -qq -y install espeak-ng > /dev/null 2>&1
from kokoro import KPipeline
from IPython.display import display, Audio
import soundfile as sf
import torch
pipeline = KPipeline(lang_code='a')
text = '''
[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.
'''
generator = pipeline(text, voice='af_heart')
for i, (gs, ps, audio) in enumerate(generator):
    print(i, gs, ps)
    display(Audio(data=audio, rate=24000, autoplay=i==0))
    sf.write(f'{i}.wav', audio, 24000)
```
Under the hood, `kokoro` uses [`misaki`](https://pypi.org/project/misaki/), a G2P library at https://github.com/hexgrad/misaki

### Model Facts

**Architecture:**
- StyleTTS 2: https://arxiv.org/abs/2306.07691
- ISTFTNet: https://arxiv.org/abs/2203.02395
- Decoder only: no diffusion, no encoder release

**Architected by:** Li et al @ https://github.com/yl4579/StyleTTS2

**Trained by**: `@rzvzn` on Discord

**Languages:** Multiple

**Model SHA256 Hash:** `496dba118d1a58f5f3db2efc88dbdc216e0483fc89fe6e47ee1f2c53f18ad1e4`

### Training Details

**Data:** Kokoro was trained exclusively on **permissive/non-copyrighted audio data** and IPA phoneme labels. Examples of permissive/non-copyrighted audio include:
- Public domain audio
- Audio licensed under Apache, MIT, etc
- Synthetic audio<sup>[1]</sup> generated by closed<sup>[2]</sup> TTS models from large providers<br/>
[1] https://copyright.gov/ai/ai_policy_guidance.pdf<br/>
[2] No synthetic audio from open TTS models or "custom voice clones"

**Total Dataset Size:** A few hundred hours of audio

**Total Training Cost:** About $1000 for 1000 hours of A100 80GB vRAM

### Creative Commons Attribution

The following CC BY audio was part of the dataset used to train Kokoro v1.0.

| Audio Data | Duration Used | License | Added to Training Set After |
| ---------- | ------------- | ------- | --------------------------- |
| [Koniwa](https://github.com/koniwa/koniwa) `tnc` | <1h | [CC BY 3.0](https://creativecommons.org/licenses/by/3.0/deed.ja) | v0.19 / 22 Nov 2024 |
| [SIWIS](https://datashare.ed.ac.uk/handle/10283/2353) | <11h | [CC BY 4.0](https://datashare.ed.ac.uk/bitstream/handle/10283/2353/license_text) | v0.19 / 22 Nov 2024 |

### Acknowledgements

- 🛠️ [@yl4579](https://huggingface.co/yl4579) for architecting StyleTTS 2.
- 🏆 [@Pendrokar](https://huggingface.co/Pendrokar) for adding Kokoro as a contender in the TTS Spaces Arena.
- 📊 Thank you to everyone who contributed synthetic training data.
- ❤️ Special thanks to all compute sponsors.
- 👾 Discord server: https://discord.gg/QuGxSWBfQy
- 🪽 Kokoro is a Japanese word that translates to "heart" or "spirit". Kokoro is also the name of an [AI in the Terminator franchise](https://terminator.fandom.com/wiki/Kokoro).

<img src="https://static0.gamerantimages.com/wordpress/wp-content/uploads/2024/08/terminator-zero-41-1.jpg" width="400" alt="kokoro" />