# Nendo Plugin Vampnet
<br>
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---
Nendo Plugin for VampNet: Music Generation via Masked Acoustic Token Modeling
(by [Hugo Flores Garcia](https://github.com/hugofloresgarcia/vampnet)).
## 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](https://github.com/hugofloresgarcia/vampnet).
## Installation
1. [Install Nendo](https://github.com/okio-ai/nendo#installation)
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](https://okio.ai/docs/plugins).
For more advanced examples, check out the examples folder.
or try it in colab:
<a target="_blank" href="https://colab.research.google.com/drive/1IRH3gXLgqtMjfOknMkEmSqPmrEdiKAxM?usp=sharing">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>
```python
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](https://okio.ai/docs/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.
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"description": "# Nendo Plugin Vampnet\n\n<br>\n<p align=\"left\">\n <img src=\"https://okio.ai/docs/assets/nendo_core_logo.png\" width=\"350\" alt=\"nendo core\">\n</p>\n<br>\n\n<p align=\"left\">\n<a href=\"https://okio.ai\" target=\"_blank\">\n <img src=\"https://img.shields.io/website/https/okio.ai\" alt=\"Website\">\n</a>\n<a href=\"https://twitter.com/okio_ai\" target=\"_blank\">\n <img src=\"https://img.shields.io/twitter/url/https/twitter.com/okio_ai.svg?style=social&label=Follow%20%40okio_ai\" alt=\"Twitter\">\n</a>\n<a href=\"https://discord.gg/gaZMZKzScj\" target=\"_blank\">\n <img src=\"https://dcbadge.vercel.app/api/server/XpkUsjwXTp?compact=true&style=flat\" alt=\"Discord\">\n</a>\n</p>\n\n---\n\nNendo Plugin for VampNet: Music Generation via Masked Acoustic Token Modeling \n(by [Hugo Flores Garcia](https://github.com/hugofloresgarcia/vampnet)).\n\n## Features \n\n- Generate unconditional variations\n- Use custom finetuned vampnet models\n- Generate in- and outpaintings from a `NendoTrack`\n \n## Requirements\n\nDue 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.\n\nRun:\n\n`pip install git+https://github.com/CPJKU/madmom.git@0551aa8`\n\nThis plugin also requires the manual installation of `vampnet` via its git repository:\n\n`pip install git+https://github.com/hugofloresgarcia/vampnet.git@0c0c6bc`\n\nFor further information, please refer to the original [vampnet repository](https://github.com/hugofloresgarcia/vampnet).\n\n## Installation\n\n1. [Install Nendo](https://github.com/okio-ai/nendo#installation)\n2. `pip install nendo-plugin-vampnet`\n\n## Usage\n\nTake a look at a basic usage example below.\nFor more detailed information, please refer to the [documentation](https://okio.ai/docs/plugins).\n\nFor more advanced examples, check out the examples folder.\nor try it in colab:\n\n<a target=\"_blank\" href=\"https://colab.research.google.com/drive/1IRH3gXLgqtMjfOknMkEmSqPmrEdiKAxM?usp=sharing\">\n <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n</a>\n\n```python\nfrom nendo import Nendo, NendoConfig\n\nnd = Nendo(config=NendoConfig(plugins=[\"nendo_plugin_vampnet\"]))\ntrack = nd.library.add_track(file_path='/path/to/track.mp3')\n\nvamp = nd.plugins.vampnet(track=track, prefix_secs=2, suffix_secs=0)\nvamp.play()\n```\n\n## Contributing\n\nVisit our docs to learn all about how to contribute to Nendo: [Contributing](https://okio.ai/docs/contributing/)\n\n## License\n\nNendo: MIT License\n\nVampnet: MIT License\n\nPretrained 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.",
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