---
pipeline_tag: text-to-audio
library_name: audiocraft
language: en
tags:
- text-to-audio
- musicgen
- songstarter
license: cc-by-nc-4.0
---
# Model Card for musicgen-songstarter-v0.2
musicgen-songstarter-v0.2 is a [`musicgen-stereo-melody-large`](https://huggingface.co/facebook/musicgen-stereo-melody-large) fine-tuned on a dataset of melody loops from my Splice sample library. It's intended to be used to generate song ideas that are useful for music producers. It generates stereo audio in 32khz.
Compared to [`musicgen-songstarter-v0.1`](https://huggingface.co/nateraw/musicgen-songstarter-v0.1), this new version:
- was trained on 3x more unique, manually-curated samples that I painstakingly purchased on Splice
- Is twice the size, bumped up from size `medium` ➡️ `large` transformer LM
If you find this model interesting, please consider:
- following me on [GitHub](https://github.com/nateraw)
- following me on [Twitter](https://twitter.com/nateraw)
## Usage
Install [audiocraft](https://github.com/facebookresearch/audiocraft):
```
pip install -U git+https://github.com/facebookresearch/audiocraft#egg=audiocraft
```
Then, you should be able to load this model just like any other musicgen checkpoint here on the Hub:
```python
import torchaudio
from audiocraft.models import MusicGen
from audiocraft.data.audio import audio_write
model = MusicGen.get_pretrained('nateraw/musicgen-songstarter-v0.2')
model.set_generation_params(duration=8) # generate 8 seconds.
wav = model.generate_unconditional(4) # generates 4 unconditional audio samples
descriptions = ['acoustic, guitar, melody, trap, d minor, 90 bpm'] * 3
wav = model.generate(descriptions) # generates 3 samples.
melody, sr = torchaudio.load('./assets/bach.mp3')
# generates using the melody from the given audio and the provided descriptions.
wav = model.generate_with_chroma(descriptions, melody[None].expand(3, -1, -1), sr)
for idx, one_wav in enumerate(wav):
# Will save under {idx}.wav, with loudness normalization at -14 db LUFS.
audio_write(f'{idx}', one_wav.cpu(), model.sample_rate, strategy="loudness", loudness_compressor=True)
```
## Prompt Format
Follow the following prompt format:
```
{tag_1}, {tag_1}, ..., {tag_n}, {key}, {bpm} bpm
```
For example:
```
hip hop, soul, piano, chords, jazz, neo jazz, G# minor, 140 bpm
```
## Samples
Audio Prompt | Text Prompt | Output |
---|---|---|
trap, synthesizer, songstarters, dark, G# minor, 140 bpm | ||
acoustic, guitar, melody, trap, D minor, 90 bpm |