ttsds/gptsovits_2:7b49064a – Run with an API on Replicate

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ttsds /gptsovits_2:7b49064a

Playground API

Input

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text

*string

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With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.

language

*string

An enumeration.

speaker_reference

*file

text_reference

*string

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and keeping eternity before the eyes, though much.and keeping eternity before the eyes, though much.

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

npx create-replicate --model=ttsds/gptsovits_2

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 ttsds/gptsovits_2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "ttsds/gptsovits_2:7b49064a36acf3a00679ab61a41efb0370a0dbfcddd42509934400439372f43c",
  {
    input: {
      text: "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.",
      language: "en",
      text_reference: "and keeping eternity before the eyes, though much.",
      speaker_reference: "https://replicate.delivery/pbxt/MNDu8UJR7zB1dZHG3UOPCD5B4crZunv2j32UsTd3Qd5PdG1R/example.wav"
    }
  }
);
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 ttsds/gptsovits_2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "ttsds/gptsovits_2:7b49064a36acf3a00679ab61a41efb0370a0dbfcddd42509934400439372f43c",
    input={
        "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.",
        "language": "en",
        "text_reference": "and keeping eternity before the eyes, though much.",
        "speaker_reference": "https://replicate.delivery/pbxt/MNDu8UJR7zB1dZHG3UOPCD5B4crZunv2j32UsTd3Qd5PdG1R/example.wav"
    }
)
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 ttsds/gptsovits_2 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": "7b49064a36acf3a00679ab61a41efb0370a0dbfcddd42509934400439372f43c",
    "input": {
      "text": "With tenure, Suzie\'d have all the more leisure for yachting, but her publications are no good.",
      "language": "en",
      "text_reference": "and keeping eternity before the eyes, though much.",
      "speaker_reference": "https://replicate.delivery/pbxt/MNDu8UJR7zB1dZHG3UOPCD5B4crZunv2j32UsTd3Qd5PdG1R/example.wav"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

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

Run this to download the model and run it in your local environment:

cog predict r8.im/ttsds/gptsovits_2@sha256:7b49064a36acf3a00679ab61a41efb0370a0dbfcddd42509934400439372f43c \
  -i $'text="With tenure, Suzie\'d have all the more leisure for yachting, but her publications are no good."' \
  -i 'language="en"' \
  -i 'text_reference="and keeping eternity before the eyes, though much."' \
  -i 'speaker_reference="https://replicate.delivery/pbxt/MNDu8UJR7zB1dZHG3UOPCD5B4crZunv2j32UsTd3Qd5PdG1R/example.wav"'

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

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/ttsds/gptsovits_2@sha256:7b49064a36acf3a00679ab61a41efb0370a0dbfcddd42509934400439372f43c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "text": "With tenure, Suzie\'d have all the more leisure for yachting, but her publications are no good.",
      "language": "en",
      "text_reference": "and keeping eternity before the eyes, though much.",
      "speaker_reference": "https://replicate.delivery/pbxt/MNDu8UJR7zB1dZHG3UOPCD5B4crZunv2j32UsTd3Qd5PdG1R/example.wav"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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Generated in

4.6 seconds

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This example was created by a different version, ttsds/gptsovits_2:6a07d99a.