adirik/hierspeechpp:4e41ecdd – Run with an API on Replicate

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adirik /hierspeechpp:4e41ecdd

Playground API

Input

input_text

string

Shift + Return to add a new line

Text input to the model. If provided, it will be used for the speech content of the output.

input_sound

file

Sound input to the model. If provided, it will be used for the speech content of the output.

target_voice

*file

A voice clip containing the speaker to synthesize

denoise_ratio

number

(minimum: 0, maximum: 1)

Noise control. 0 means no noise reduction, 1 means maximum noise reduction. If noise reduction is desired, it is recommended to set this value to 0.6~0.8

Default: 0

text_to_vector_temperature

number

(minimum: 0, maximum: 1)

Temperature for text-to-vector model. Larger value corresponds to slightly more random output.

Default: 0.33

voice_conversion_temperature

number

(minimum: 0, maximum: 1)

Temperature for the voice conversion model. Larger value corresponds to slightly more random output.

Default: 0.33

output_sample_rate

integer

Sample rate of the output audio file

Default: 16000

scale_output_volume

boolean

Scale normalization. If set to true, the output audio will be scaled according to the input sound if provided.

Default: false

seed

integer

Random seed to use for reproducibility

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

npx create-replicate --model=adirik/hierspeechpp

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

const output = await replicate.run(
  "adirik/hierspeechpp:4e41ecdd0a844297efc19ba17688ddc1096f8d83dead8a9190df665462e58ff0",
  {
    input: {
      denoise_ratio: 0,
      output_sample_rate: 16000,
      scale_output_volume: false,
      text_to_vector_temperature: 0.33,
      voice_conversion_temperature: 0.33
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 adirik/hierspeechpp using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "adirik/hierspeechpp:4e41ecdd0a844297efc19ba17688ddc1096f8d83dead8a9190df665462e58ff0",
    input={
        "denoise_ratio": 0,
        "output_sample_rate": 16000,
        "scale_output_volume": False,
        "text_to_vector_temperature": 0.33,
        "voice_conversion_temperature": 0.33
    }
)
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 adirik/hierspeechpp 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": "adirik/hierspeechpp:4e41ecdd0a844297efc19ba17688ddc1096f8d83dead8a9190df665462e58ff0",
    "input": {
      "denoise_ratio": 0,
      "output_sample_rate": 16000,
      "scale_output_volume": false,
      "text_to_vector_temperature": 0.33,
      "voice_conversion_temperature": 0.33
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.