nendo-plugin-vampnet

Nendo Plugin for VampNet: Music Generation via Masked Acoustic Token Modeling.


Keywords
Nendo, AI, Machine, Learning, Audio, Generative, Music, Production, Generation, Plugin
License
MIT
Install
pip install nendo-plugin-vampnet==0.1.3

Documentation

Nendo Plugin Vampnet


nendo core


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Nendo Plugin for VampNet: Music Generation via Masked Acoustic Token Modeling (by Hugo Flores Garcia).

Features

  • Generate unconditional variations
  • Use custom finetuned vampnet models
  • Generate in- and outpaintings from a NendoTrack

Requirements

Due to madmom versions < 0.17 errors with python 3.10, we require the latest version of the package from git, where this is fixed. See also this related issue.

Run:

pip install git+https://github.com/CPJKU/madmom.git@0551aa8

This plugin also requires the manual installation of vampnet via its git repository:

pip install git+https://github.com/hugofloresgarcia/vampnet.git@0c0c6bc

For further information, please refer to the original vampnet repository.

Installation

  1. Install Nendo
  2. pip install nendo-plugin-vampnet

Usage

Take a look at a basic usage example below. For more detailed information, please refer to the documentation.

For more advanced examples, check out the examples folder. or try it in colab:

Open In Colab
from nendo import Nendo, NendoConfig

nd = Nendo(config=NendoConfig(plugins=["nendo_plugin_vampnet"]))
track = nd.library.add_track(file_path='/path/to/track.mp3')

vamp = nd.plugins.vampnet(track=track, prefix_secs=2, suffix_secs=0)
vamp.play()

Contributing

Visit our docs to learn all about how to contribute to Nendo: Contributing

License

Nendo: MIT License

Vampnet: MIT License

Pretrained Models: The weights for the models are licensed CC BY-NC-SA 4.0. Likewise, any VampNet models fine-tuned on the pretrained models are also licensed CC BY-NC-SA 4.0.