Input

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

npx create-replicate --model=allenhung1025/looptest

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 allenhung1025/looptest using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "allenhung1025/looptest:0de4a5f14b9120ce02c590eb9cf6c94841569fafbc4be7ab37436ce738bcf49f",
  {
    input: {
      seed: -1
    }
  }
);

// 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 allenhung1025/looptest using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "allenhung1025/looptest:0de4a5f14b9120ce02c590eb9cf6c94841569fafbc4be7ab37436ce738bcf49f",
    input={
        "seed": -1
    }
)
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 allenhung1025/looptest 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": "allenhung1025/looptest:0de4a5f14b9120ce02c590eb9cf6c94841569fafbc4be7ab37436ce738bcf49f",
    "input": {
      "seed": -1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

Tweak itReport

This output was created using a different version of the model, allenhung1025/looptest:91b58a97.

Run time and cost

This model costs approximately $0.026 to run on Replicate, or 38 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 116 seconds. The predict time for this model varies significantly based on the inputs.

Readme

A Benchmarking Initiative for Audio-domain Music Generation using the FreeSound Loop Dataset

By Tun-Min Hung, Bo-Yu Chen, Yen-Tung Yeh, and Yi-Hsuan Yang

This page demonstrates four-bar drum loop generation in 120 bpm trained on the LooperMan dataset. For additional examples, please refer to https://loopgen.github.io/.