chenxwh/openvoice:002cf9fb – Run with an API on Replicate

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chenxwh /openvoice:002cf9fb

Playground API

Input

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audio

*file

Input reference audio

text

string

Shift + Return to add a new line

El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.

Input text

Default: "Did you ever hear a folk tale about a giant turtle?"

language

string

The language of the audio to be generated

Default: "EN_NEWEST"

speed

number

Set speed scale of the output audio

Default: 1

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

npx create-replicate --model=chenxwh/openvoice

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 chenxwh/openvoice using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/openvoice:002cf9fb1ac44f6a172c4ceb868df704a414a8346ac0296310a2d1207226d3a2",
  {
    input: {
      text: "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
      audio: "https://replicate.delivery/pbxt/KpK8evnazh2CSvXSeEpVA12nr8U7by0LBguRu1mF5tzMWr2D/example_reference.mp3",
      speed: 1,
      language: "ES"
    }
  }
);
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 chenxwh/openvoice using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/openvoice:002cf9fb1ac44f6a172c4ceb868df704a414a8346ac0296310a2d1207226d3a2",
    input={
        "text": "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
        "audio": "https://replicate.delivery/pbxt/KpK8evnazh2CSvXSeEpVA12nr8U7by0LBguRu1mF5tzMWr2D/example_reference.mp3",
        "speed": 1,
        "language": "ES"
    }
)
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 chenxwh/openvoice 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": "002cf9fb1ac44f6a172c4ceb868df704a414a8346ac0296310a2d1207226d3a2",
    "input": {
      "text": "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
      "audio": "https://replicate.delivery/pbxt/KpK8evnazh2CSvXSeEpVA12nr8U7by0LBguRu1mF5tzMWr2D/example_reference.mp3",
      "speed": 1,
      "language": "ES"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

If you don’t have Homebrew, there are other installation options available.

Pull and run chenxwh/openvoice using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/cjwbw/openvoice@sha256:002cf9fb1ac44f6a172c4ceb868df704a414a8346ac0296310a2d1207226d3a2 \
  -i 'text="El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante."' \
  -i 'audio="https://replicate.delivery/pbxt/KpK8evnazh2CSvXSeEpVA12nr8U7by0LBguRu1mF5tzMWr2D/example_reference.mp3"' \
  -i 'speed=1' \
  -i 'language="ES"'

To learn more, take a look at the Cog documentation.

Pull and run chenxwh/openvoice using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/cjwbw/openvoice@sha256:002cf9fb1ac44f6a172c4ceb868df704a414a8346ac0296310a2d1207226d3a2
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "text": "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
      "audio": "https://replicate.delivery/pbxt/KpK8evnazh2CSvXSeEpVA12nr8U7by0LBguRu1mF5tzMWr2D/example_reference.mp3",
      "speed": 1,
      "language": "ES"
    }
  }' \
  http://localhost:5000/predictions

Output

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Generated in

15.7 seconds

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