usamaehsan/voices:bfab9a3a – Run with an API on Replicate

Version

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usamaehsan /voices:bfab9a3a

Playground API

Input

mode

string

Voice synthesis mode

Default: "zero_shot"

text

string

Shift + Return to add a new line

Text to be synthesized (for zero_shot and cross_lingual modes)

prompt_text

string

Shift + Return to add a new line

Prompt text corresponding to the prompt audio (for zero_shot mode only)

prompt_audio

file

Prompt audio file (for zero_shot and cross_lingual modes)

source_audio

file

Source audio file for voice conversion

target_audio

file

Target audio file for voice conversion

speed

number

(minimum: 0.2)

Speech speed factor

Default: 1

max_chunk_time

integer

Maximum time in seconds for processing each chunk

Default: 30

use_cpu

boolean

Force CPU usage instead of GPU

Default: false

use_half_precision

boolean

Enable FP16 precision for faster processing

Default: true

optimize_memory

boolean

Enable memory optimizations

Default: true

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

npx create-replicate --model=usamaehsan/voices

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";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "usamaehsan/voices:bfab9a3aa335d7228ddd6df0c20c28c72f7b6eb0460057aaf78134a9559fd52f",
  {
    input: {
      mode: "zero_shot",
      speed: 1,
      use_cpu: false,
      max_chunk_time: 30,
      optimize_memory: true,
      use_half_precision: true
    }
  }
);

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

output = replicate.run(
    "usamaehsan/voices:bfab9a3aa335d7228ddd6df0c20c28c72f7b6eb0460057aaf78134a9559fd52f",
    input={
        "mode": "zero_shot",
        "speed": 1,
        "use_cpu": False,
        "max_chunk_time": 30,
        "optimize_memory": True,
        "use_half_precision": True
    }
)
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 usamaehsan/voices 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": "usamaehsan/voices:bfab9a3aa335d7228ddd6df0c20c28c72f7b6eb0460057aaf78134a9559fd52f",
    "input": {
      "mode": "zero_shot",
      "speed": 1,
      "use_cpu": false,
      "max_chunk_time": 30,
      "optimize_memory": true,
      "use_half_precision": true
    }
  }' \
  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.