justmalhar/musicgen-808-phonk – Run with an API on Replicate

justmalhar / musicgen-808-phonk

Prompt Prefix: 808 phonk music, cowbell phonk, drift phonk, trap phonk

Cold

Public
19 runs
L40S

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=justmalhar/musicgen-808-phonk

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 justmalhar/musicgen-808-phonk using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "justmalhar/musicgen-808-phonk:c40460c782aa8fb208bdbc67b170cc3442c641ddf0a1fb52ee4bb44418098e3d",
  {
    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 justmalhar/musicgen-808-phonk using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "justmalhar/musicgen-808-phonk:c40460c782aa8fb208bdbc67b170cc3442c641ddf0a1fb52ee4bb44418098e3d",
    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 justmalhar/musicgen-808-phonk 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": "c40460c782aa8fb208bdbc67b170cc3442c641ddf0a1fb52ee4bb44418098e3d",
    "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

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

Run this to download the model and run it in your local environment:

cog predict r8.im/justmalhar/musicgen-808-phonk@sha256:c40460c782aa8fb208bdbc67b170cc3442c641ddf0a1fb52ee4bb44418098e3d \
  -i 'top_k=250' \
  -i 'top_p=0' \
  -i 'duration=8' \
  -i 'temperature=1' \
  -i 'continuation=false' \
  -i 'output_format="wav"' \
  -i 'continuation_start=0' \
  -i 'multi_band_diffusion=false' \
  -i 'normalization_strategy="loudness"' \
  -i 'classifier_free_guidance=3'

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

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/justmalhar/musicgen-808-phonk@sha256:c40460c782aa8fb208bdbc67b170cc3442c641ddf0a1fb52ee4bb44418098e3d
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "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
    }
  }' \
  http://localhost:5000/predictions

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

Output

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

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

Try using Prompt Prefix: 808 phonk music, cowbell phonk, drift phonk, trap phonk

Based on MusicGen