sakemin/musicgen-remixer:43e0e981 – Run with an API on Replicate

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sakemin /musicgen-remixer:43e0e981

Playground API

Input

model_version

string

Model type. Computations take longer when using `large` or `stereo` models.

Default: "stereo-chord"

prompt

string

Shift + Return to add a new line

A description of the music you want to generate.

music_input

file

An audio file input for the remix.

multi_band_diffusion

boolean

If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Not compatible with `stereo` models.

Default: false

normalization_strategy

string

Strategy for normalizing audio.

Default: "loudness"

beat_sync_threshold

number

When beat syncing, if the gap between generated downbeat timing and input audio downbeat timing is larger than `beat_sync_threshold`, consider the beats are not corresponding. If `None` or `-1`, `1.1/(bpm/60)` will be used as the value. 0.75 is a good value to set.

chroma_coefficient

number

(minimum: 0.5, maximum: 2)

Coefficient value multiplied to multi-hot chord chroma.

Default: 1

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=sakemin/musicgen-remixer

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

const output = await replicate.run(
  "sakemin/musicgen-remixer:43e0e981b700e96d3ba979b62ab4412b6f2794f89436fe0503a94380493dac5c",
  {
    input: {
      top_k: 250,
      top_p: 0,
      temperature: 1,
      model_version: "stereo-chord",
      output_format: "wav",
      chroma_coefficient: 1,
      multi_band_diffusion: false,
      normalization_strategy: "loudness",
      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 sakemin/musicgen-remixer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sakemin/musicgen-remixer:43e0e981b700e96d3ba979b62ab4412b6f2794f89436fe0503a94380493dac5c",
    input={
        "top_k": 250,
        "top_p": 0,
        "temperature": 1,
        "model_version": "stereo-chord",
        "output_format": "wav",
        "chroma_coefficient": 1,
        "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 sakemin/musicgen-remixer 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": "43e0e981b700e96d3ba979b62ab4412b6f2794f89436fe0503a94380493dac5c",
    "input": {
      "top_k": 250,
      "top_p": 0,
      "temperature": 1,
      "model_version": "stereo-chord",
      "output_format": "wav",
      "chroma_coefficient": 1,
      "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.

Install Cog

brew install cog

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

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

cog predict r8.im/sakemin/musicgen-remixer@sha256:43e0e981b700e96d3ba979b62ab4412b6f2794f89436fe0503a94380493dac5c \
  -i 'top_k=250' \
  -i 'top_p=0' \
  -i 'temperature=1' \
  -i 'model_version="stereo-chord"' \
  -i 'output_format="wav"' \
  -i 'chroma_coefficient=1' \
  -i 'multi_band_diffusion=false' \
  -i 'normalization_strategy="loudness"' \
  -i 'classifier_free_guidance=3'

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

Pull and run sakemin/musicgen-remixer 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/sakemin/musicgen-remixer@sha256:43e0e981b700e96d3ba979b62ab4412b6f2794f89436fe0503a94380493dac5c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_k": 250,
      "top_p": 0,
      "temperature": 1,
      "model_version": "stereo-chord",
      "output_format": "wav",
      "chroma_coefficient": 1,
      "multi_band_diffusion": false,
      "normalization_strategy": "loudness",
      "classifier_free_guidance": 3
    }
  }' \
  http://localhost:5000/predictions

Output

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