Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- yl4579/StyleTTS2-LJSpeech
+pipeline_tag: text-to-speech
+---
+**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.
+
+<audio controls><source src="https://huggingface.co/hexgrad/Kokoro-82M/resolve/main/samples/HEARME.wav" type="audio/wav"></audio>
+
+🐈 **GitHub**: https://github.com/hexgrad/kokoro
+
+🚀 **Demo**: https://hf.co/spaces/hexgrad/Kokoro-TTS
+
+> [!NOTE]
+> As of April 2025, the market rate of Kokoro served over API is **under $1 per million characters of text input**, or under $0.06 per hour of audio output. (On average, 1000 characters of input is about 1 minute of output.) Sources: [ArtificialAnalysis/Replicate at 65 cents per M chars](https://artificialanalysis.ai/text-to-speech/model-family/kokoro#price) and [DeepInfra at 80 cents per M chars](https://deepinfra.com/hexgrad/Kokoro-82M).
+>
+> This is an Apache-licensed model, and Kokoro has been deployed in numerous projects and commercial APIs. We welcome the deployment of the model in real use cases.
+
+> [!CAUTION]
+> Fake websites like kokorottsai_com (snapshot: https://archive.ph/nRRnk) and kokorotts_net (snapshot: https://archive.ph/60opa) are likely scams masquerading under the banner of a popular model.
+>
+> Any website containing "kokoro" in its root domain (e.g. kokorottsai_com, kokorotts_net) is **NOT owned by and NOT affiliated with this model page or its author**, and attempts to imply otherwise are red flags.
+
+- [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". It 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" />