andreasjansson/musicgen-looper:5663c7c0 – Run with an API on Replicate

Version

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andreasjansson /musicgen-looper:5663c7c0

Playground API

Input

prompt

*string

Shift + Return to add a new line

A description of the music you want to generate.

bpm

number

(minimum: 40, maximum: 300)

Tempo in beats per minute

Default: 140

variations

integer

(minimum: 1, maximum: 20)

Number of variations to generate

Default: 4

max_duration

integer

(minimum: 2, maximum: 20)

Maximum duration of the generated loop in seconds.

Default: 8

model_version

string

Model to use for generation. .

Default: "medium"

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.

Default: -1

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

npx create-replicate --model=andreasjansson/musicgen-looper

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

const output = await replicate.run(
  "andreasjansson/musicgen-looper:5663c7c0c58f59c21802db4b81b74ff7d1ff579a531f77ae30ecd8421b45a846",
  {
    input: {
      bpm: 140,
      seed: -1,
      top_k: 250,
      top_p: 0,
      variations: 4,
      temperature: 1,
      max_duration: 8,
      model_version: "medium",
      output_format: "wav",
      classifier_free_guidance: 3
    }
  }
);
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 andreasjansson/musicgen-looper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/musicgen-looper:5663c7c0c58f59c21802db4b81b74ff7d1ff579a531f77ae30ecd8421b45a846",
    input={
        "bpm": 140,
        "seed": -1,
        "top_k": 250,
        "top_p": 0,
        "variations": 4,
        "temperature": 1,
        "max_duration": 8,
        "model_version": "medium",
        "output_format": "wav",
        "classifier_free_guidance": 3
    }
)

# The andreasjansson/musicgen-looper model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/andreasjansson/musicgen-looper/api#output-schema
    print(item)

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 andreasjansson/musicgen-looper 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": "5663c7c0c58f59c21802db4b81b74ff7d1ff579a531f77ae30ecd8421b45a846",
    "input": {
      "bpm": 140,
      "seed": -1,
      "top_k": 250,
      "top_p": 0,
      "variations": 4,
      "temperature": 1,
      "max_duration": 8,
      "model_version": "medium",
      "output_format": "wav",
      "classifier_free_guidance": 3
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run andreasjansson/musicgen-looper using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/andreasjansson/musicgen-looper@sha256:5663c7c0c58f59c21802db4b81b74ff7d1ff579a531f77ae30ecd8421b45a846 \
  -i 'bpm=140' \
  -i 'seed=-1' \
  -i 'top_k=250' \
  -i 'top_p=0' \
  -i 'variations=4' \
  -i 'temperature=1' \
  -i 'max_duration=8' \
  -i 'model_version="medium"' \
  -i 'output_format="wav"' \
  -i 'classifier_free_guidance=3'

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

Pull and run andreasjansson/musicgen-looper using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/andreasjansson/musicgen-looper@sha256:5663c7c0c58f59c21802db4b81b74ff7d1ff579a531f77ae30ecd8421b45a846
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "bpm": 140,
      "seed": -1,
      "top_k": 250,
      "top_p": 0,
      "variations": 4,
      "temperature": 1,
      "max_duration": 8,
      "model_version": "medium",
      "output_format": "wav",
      "classifier_free_guidance": 3
    }
  }' \
  http://localhost:5000/predictions

Output

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