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--- |
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license: apache-2.0 |
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library_name: transformers.js |
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language: |
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- en |
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base_model: |
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- hexgrad/Kokoro-82M |
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pipeline_tag: text-to-speech |
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--- |
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# Kokoro TTS |
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Kokoro is a frontier TTS model for its size of 82 million parameters (text in/audio out). |
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## Table of contents |
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- [Usage](#usage) |
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- [JavaScript](#javascript) |
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- [Python](#python) |
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- [Voices/Samples](#voicessamples) |
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- [Quantizations](#quantizations) |
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## Usage |
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### JavaScript |
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First, install the `kokoro-js` library from [NPM](https://npmjs.com/package/kokoro-js) using: |
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```bash |
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npm i kokoro-js |
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``` |
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You can then generate speech as follows: |
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```js |
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import { KokoroTTS } from "kokoro-js"; |
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const model_id = "onnx-community/Kokoro-82M-ONNX"; |
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const tts = await KokoroTTS.from_pretrained(model_id, { |
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dtype: "q8", // Options: "fp32", "fp16", "q8", "q4", "q4f16" |
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}); |
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const text = "Life is like a box of chocolates. You never know what you're gonna get."; |
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const audio = await tts.generate(text, { |
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// Use `tts.list_voices()` to list all available voices |
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voice: "af_bella", |
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}); |
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audio.save("audio.wav"); |
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``` |
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### Python |
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```python |
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import os |
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import numpy as np |
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from onnxruntime import InferenceSession |
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# You can generate token ids as follows: |
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# 1. Convert input text to phonemes using https://github.com/hexgrad/misaki |
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# 2. Map phonemes to ids using https://huggingface.co/hexgrad/Kokoro-82M/blob/785407d1adfa7ae8fbef8ffd85f34ca127da3039/config.json#L34-L148 |
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tokens = [50, 157, 43, 135, 16, 53, 135, 46, 16, 43, 102, 16, 56, 156, 57, 135, 6, 16, 102, 62, 61, 16, 70, 56, 16, 138, 56, 156, 72, 56, 61, 85, 123, 83, 44, 83, 54, 16, 53, 65, 156, 86, 61, 62, 131, 83, 56, 4, 16, 54, 156, 43, 102, 53, 16, 156, 72, 61, 53, 102, 112, 16, 70, 56, 16, 138, 56, 44, 156, 76, 158, 123, 56, 16, 62, 131, 156, 43, 102, 54, 46, 16, 102, 48, 16, 81, 47, 102, 54, 16, 54, 156, 51, 158, 46, 16, 70, 16, 92, 156, 135, 46, 16, 54, 156, 43, 102, 48, 4, 16, 81, 47, 102, 16, 50, 156, 72, 64, 83, 56, 62, 16, 156, 51, 158, 64, 83, 56, 16, 44, 157, 102, 56, 16, 44, 156, 76, 158, 123, 56, 4] |
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# Context length is 512, but leave room for the pad token 0 at the start & end |
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assert len(tokens) <= 510, len(tokens) |
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# Style vector based on len(tokens), ref_s has shape (1, 256) |
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voices = np.fromfile('./voices/af.bin', dtype=np.float32).reshape(-1, 1, 256) |
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ref_s = voices[len(tokens)] |
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# Add the pad ids, and reshape tokens, should now have shape (1, <=512) |
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tokens = [[0, *tokens, 0]] |
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model_name = 'model.onnx' # Options: model.onnx, model_fp16.onnx, model_quantized.onnx, model_q8f16.onnx, model_uint8.onnx, model_uint8f16.onnx, model_q4.onnx, model_q4f16.onnx |
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sess = InferenceSession(os.path.join('onnx', model_name)) |
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audio = sess.run(None, dict( |
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input_ids=tokens, |
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style=ref_s, |
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speed=np.ones(1, dtype=np.float32), |
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))[0] |
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``` |
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Optionally, save the audio to a file: |
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```py |
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import scipy.io.wavfile as wavfile |
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wavfile.write('audio.wav', 24000, audio[0]) |
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``` |
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## Voices/Samples |
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> Life is like a box of chocolates. You never know what you're gonna get. |
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| Name | Nationality | Gender | Sample | |
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| ------------ | ----------- | ------ | --------------------------------------------------------------------------------------------------------------------------------------- | |
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| **af_heart** | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/S_9tkA75BT_QHKOzSX6S-.wav"></audio> | |
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| af_alloy | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/wiZ3gvlL--p5pRItO4YRE.wav"></audio> | |
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| af_aoede | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/Nv1xMwzjTdF9MR8v0oEEJ.wav"></audio> | |
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| af_bella | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/sWN0rnKU6TlLsVdGqRktF.wav"></audio> | |
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| af_jessica | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/2Oa4wITWAmiCXJ_Q97-7R.wav"></audio> | |
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| af_kore | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/AOIgyspzZWDGpn7oQgwtu.wav"></audio> | |
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| af_nicole | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/EY_V2OGr-hzmtTGrTCTyf.wav"></audio> | |
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| af_nova | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/X-xdEkx3GPlQG5DK8Gsqd.wav"></audio> | |
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| af_river | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/ZqaV2-xGUZdBQmZAF1Xqy.wav"></audio> | |
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| af_sarah | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/xzoJBl1HCvkE8Fl8Xu2R4.wav"></audio> | |
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| af_sky | American | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/ubebYQoaseyQk-jDLeWX7.wav"></audio> | |
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| am_adam | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/tvauhDVRGvGK98I-4wv3H.wav"></audio> | |
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| am_echo | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/qy_KuUB0hXsu-u8XaJJ_Z.wav"></audio> | |
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| am_eric | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/JhqPjbpMhraUv5nTSPpwD.wav"></audio> | |
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| am_fenrir | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/c0R9caBdBiNjGUUalI_DQ.wav"></audio> | |
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| am_liam | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/DFHvulaLeOjXIDKecvNG3.wav"></audio> | |
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| am_michael | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/IPKhsnjq1tPh3JmHH8nEg.wav"></audio> | |
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| am_onyx | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/ov0pFDfE8NNKZ80LqW6Di.wav"></audio> | |
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| am_puck | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/MOC654sLMHWI64g8HWesV.wav"></audio> | |
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| am_santa | American | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/LzA6JmHBvQlhOviy8qVfJ.wav"></audio> | |
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| bf_alice | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/9mnYZ3JWq7f6U12plXilA.wav"></audio> | |
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| bf_emma | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/_fvGtKMttRI0cZVGqxMh8.wav"></audio> | |
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| bf_isabella | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/VzlcJpqGEND_Q3duYnhiu.wav"></audio> | |
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| bf_lily | British | Female | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/qZCoartohiRlVamY8Xpok.wav"></audio> | |
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| bm_daniel | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/Eb0TLnLXHDRYOA3TJQKq3.wav"></audio> | |
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| bm_fable | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/NT9XkmvlezQ0FJ6Th5hoZ.wav"></audio> | |
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| bm_george | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/y6VJbCESszLZGupPoqNkF.wav"></audio> | |
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| bm_lewis | British | Male | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/RlB5BRvLt-IFvTjzQNxCh.wav"></audio> | |
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## Quantizations |
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The model is resilient to quantization, enabling efficient high-quality speech synthesis at a fraction of the original model size. |
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> How could I know? It's an unanswerable question. Like asking an unborn child if they'll lead a good life. They haven't even been born. |
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| Model | Size (MB) | Sample | |
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| model.onnx (fp32) | 326 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/njexBuqPzfYUvWgs9eQ-_.wav"></audio> | |
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| model_fp16.onnx (fp16) | 163 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/8Ebl44hMQonZs4MlykExt.wav"></audio> | |
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| model_quantized.onnx (8-bit) | 92.4 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/9SLOt6ETclZ4yRdlJ0VIj.wav"></audio> | |
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| model_q8f16.onnx (Mixed precision) | 86 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/gNDMqb33YEmYMbAIv_Grx.wav"></audio> | |
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| model_uint8.onnx (8-bit & mixed precision) | 177 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/tpOWRHIWwEb0PJX46dCWQ.wav"></audio> | |
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| model_uint8f16.onnx (Mixed precision) | 114 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/vtZhABzjP0pvGD7dRb5Vr.wav"></audio> | |
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| model_q4.onnx (4-bit matmul) | 305 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/8FVn0IJIUfccEBWq8Fnw_.wav"></audio> | |
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| model_q4f16.onnx (4-bit matmul & fp16 weights) | 154 | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/7DrgWC_1q00s-wUJuG44X.wav"></audio> | |
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