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| title: Texto_voz | |
| emoji: 🎙️ | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.5.1 | |
| app_file: app.py | |
| pinned: false | |
| python_version: '3.10' | |
| --- | |
| **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" /> | |
| sdk: gradio | |
| sdk_version: 4.44.1 # O una versión estable reciente | |
| python_version: 3.10 # Recomiendo bajar a 3.10 o 3.11 para mayor estabilidad con modelos .pth |