alphanumericuser/kokoro-82m:89b6fa84 – Run with an API on Replicate

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alphanumericuser /kokoro-82m:89b6fa84

Input

text

string

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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.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.

Text to convert to speech

Default: "Hi! I'm Kokoro, a text-to-speech voice crafted by hexgrad — based on StyleTTS2."

language_code

string

Language of the text

Default: "a"

voice

string

Voice to use for synthesis

Default: "af_heart"

speed

number

(minimum: 0.1, maximum: 5)

Speed of speech

Default: 1

Run this model in Node.js with one line of code:

npx create-replicate --model=alphanumericuser/kokoro-82m

or set up a project from scratch

Install Replicate’s Node.js client library

npm install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run alphanumericuser/kokoro-82m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "alphanumericuser/kokoro-82m:89b6fa84e4fa2dd6bd3a96be3e1f12827a3516c9fda8fddbac7a0be131c9a6f5",
  {
    input: {
      text: "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.",
      speed: 1,
      voice: "af_heart",
      language_code: "a"
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library

pip install replicate

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client

import replicate

Run alphanumericuser/kokoro-82m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "alphanumericuser/kokoro-82m:89b6fa84e4fa2dd6bd3a96be3e1f12827a3516c9fda8fddbac7a0be131c9a6f5",
    input={
        "text": "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.",
        "speed": 1,
        "voice": "af_heart",
        "language_code": "a"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run alphanumericuser/kokoro-82m using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "89b6fa84e4fa2dd6bd3a96be3e1f12827a3516c9fda8fddbac7a0be131c9a6f5",
    "input": {
      "text": "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.",
      "speed": 1,
      "voice": "af_heart",
      "language_code": "a"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2025-02-08T22:38:22.285663Z",
  "created_at": "2025-02-08T22:36:22.047000Z",
  "data_removed": false,
  "error": null,
  "id": "619hq7zekxrga0cmwytbygnj4r",
  "input": {
    "text": "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.",
    "speed": 1,
    "voice": "af_heart",
    "language_code": "a"
  },
  "logs": "/usr/local/lib/python3.10/site-packages/torch/nn/modules/rnn.py:123: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1\nwarnings.warn(\n/usr/local/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.\nWeightNorm.apply(module, name, dim)\nCollecting en-core-web-sm==3.8.0\nDownloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl (12.8 MB)\n     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 12.8/12.8 MB 58.5 MB/s eta 0:00:00\nInstalling collected packages: en-core-web-sm\nSuccessfully installed en-core-web-sm-3.8.0\nWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\n[notice] A new release of pip is available: 23.0.1 -> 25.0\n[notice] To update, run: pip install --upgrade pip\n\u001b[38;5;2m✔ Download and installation successful\u001b[0m\nYou can now load the package via spacy.load('en_core_web_sm')",
  "metrics": {
    "predict_time": 18.001196151,
    "total_time": 120.238663
  },
  "output": "https://replicate.delivery/czjl/8Mw94y2JN3o9HhK30eokfeqq2EotPllY2D9USqXDIe34tj1QB/tmpyulkh5io.wav",
  "started_at": "2025-02-08T22:38:04.284467Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/fddq-232yowacugrpqt7qdinzo6q2gbkp4ucyzztpikgcxrvey3zubw4q",
    "get": "https://api.replicate.com/v1/predictions/619hq7zekxrga0cmwytbygnj4r",
    "cancel": "https://api.replicate.com/v1/predictions/619hq7zekxrga0cmwytbygnj4r/cancel"
  },
  "version": "89b6fa84e4fa2dd6bd3a96be3e1f12827a3516c9fda8fddbac7a0be131c9a6f5"
}

Generated in

18.0 seconds

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