naclonts/musicgen-experiment-2:a1a0f288 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

naclonts /musicgen-experiment-2:a1a0f288

Playground API

Input

prompt

string

Shift + Return to add a new line

A description of the music you want to generate.

input_audio

file

An audio file that will influence the generated music. If `continuation` is `True`, the generated music will be a continuation of the audio file. Otherwise, the generated music will mimic the audio file's melody.

duration

integer

Duration of the generated audio in seconds.

Default: 8

continuation

boolean

If `True`, generated music will continue `melody`. Otherwise, generated music will mimic `audio_input`'s melody.

Default: false

continuation_start

integer

(minimum: 0)

Start time of the audio file to use for continuation.

Default: 0

continuation_end

integer

(minimum: 0)

End time of the audio file to use for continuation. If -1 or None, will default to the end of the audio clip.

multi_band_diffusion

boolean

If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Only works with non-stereo models.

Default: false

normalization_strategy

string

Strategy for normalizing audio.

Default: "loudness"

top_k

integer

Reduces sampling to the k most likely tokens.

Default: 250

top_p

number

Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.

Default: 0

temperature

number

Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity.

Default: 1

classifier_free_guidance

integer

Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.

Default: 3

output_format

string

Output format for generated audio.

Default: "wav"

seed

integer

Seed for random number generator. If None or -1, a random seed will be used.

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

npx create-replicate --model=naclonts/musicgen-experiment-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 naclonts/musicgen-experiment-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "naclonts/musicgen-experiment-2:a1a0f288540f6ef818f60b1bd4e6d45c5c3f255e2d74f6c66f8604935671c4fe",
  {
    input: {
      top_k: 250,
      top_p: 0,
      duration: 8,
      temperature: 1,
      continuation: false,
      output_format: "wav",
      continuation_start: 0,
      multi_band_diffusion: false,
      normalization_strategy: "loudness",
      classifier_free_guidance: 3
    }
  }
);

// 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 naclonts/musicgen-experiment-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "naclonts/musicgen-experiment-2:a1a0f288540f6ef818f60b1bd4e6d45c5c3f255e2d74f6c66f8604935671c4fe",
    input={
        "top_k": 250,
        "top_p": 0,
        "duration": 8,
        "temperature": 1,
        "continuation": False,
        "output_format": "wav",
        "continuation_start": 0,
        "multi_band_diffusion": False,
        "normalization_strategy": "loudness",
        "classifier_free_guidance": 3
    }
)
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 naclonts/musicgen-experiment-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": "naclonts/musicgen-experiment-2:a1a0f288540f6ef818f60b1bd4e6d45c5c3f255e2d74f6c66f8604935671c4fe",
    "input": {
      "top_k": 250,
      "top_p": 0,
      "duration": 8,
      "temperature": 1,
      "continuation": false,
      "output_format": "wav",
      "continuation_start": 0,
      "multi_band_diffusion": false,
      "normalization_strategy": "loudness",
      "classifier_free_guidance": 3
    }
  }' \
  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.