Prediction

Model

adirik/hierspeechpp:4e41ecdd

33q5wgdbmgi6wnlkohidsi5o34

Status

Succeeded

Source

Web

Hardware

A40

Total duration

1m 36s

Created

about 2 years ago

Webhook

–

Input

input_text: And lay me down in my cold bed and leave my shining lot.
target_voice: https://replicate.delivery/pbxt/K30ke0FQUcGCa4gQdyhEPaEeGvEwDZmEK3SMtXaoujJSMlSE/reference_1.wav
denoise_ratio: 0
text_to_vector_temperature: 0.33
voice_conversion_temperature: 0.33
output_sample_rate: 16000
scale_output_volume: false

{
  "denoise_ratio": 0,
  "input_text": "And lay me down in my cold bed and leave my shining lot.",
  "output_sample_rate": 16000,
  "scale_output_volume": false,
  "target_voice": "https://replicate.delivery/pbxt/K30ke0FQUcGCa4gQdyhEPaEeGvEwDZmEK3SMtXaoujJSMlSE/reference_1.wav",
  "text_to_vector_temperature": 0.33,
  "voice_conversion_temperature": 0.33
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0iD**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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,
      input_text: "And lay me down in my cold bed and leave my shining lot.",
      output_sample_rate: 16000,
      scale_output_volume: false,
      target_voice: "https://replicate.delivery/pbxt/K30ke0FQUcGCa4gQdyhEPaEeGvEwDZmEK3SMtXaoujJSMlSE/reference_1.wav",
      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=r8_0iD**********************************

This is your API token. Keep it to yourself.

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,
        "input_text": "And lay me down in my cold bed and leave my shining lot.",
        "output_sample_rate": 16000,
        "scale_output_volume": False,
        "target_voice": "https://replicate.delivery/pbxt/K30ke0FQUcGCa4gQdyhEPaEeGvEwDZmEK3SMtXaoujJSMlSE/reference_1.wav",
        "text_to_vector_temperature": 0.33,
        "voice_conversion_temperature": 0.33
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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=r8_0iD**********************************

This is your API token. Keep it to yourself.

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,
      "input_text": "And lay me down in my cold bed and leave my shining lot.",
      "output_sample_rate": 16000,
      "scale_output_volume": false,
      "target_voice": "https://replicate.delivery/pbxt/K30ke0FQUcGCa4gQdyhEPaEeGvEwDZmEK3SMtXaoujJSMlSE/reference_1.wav",
      "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

Generated in

3.2 seconds

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