An expanded and enhanced version of OpenAI's MuseNet, with modern architecure and (suspected to be) larger. Compared to musenet, At least to me, it is noticably more coherent, and its signicantly more creative.
song.77.mp4
song.78.mp4
3 Hours of music from scratch: https://www.youtube.com/watch?v=p6JX07dAwFw&t=6815s
In OpenMusenet3 folder, there is a work in progress library in the works. If you want to use it right now, download it and navigate to examples and you can run the scripts. A notebook will be released eventually
- Trained for 4096 context tokens (Model is able to support up to 32k)
- 12 instruments (Unlike Musenet, the instruments aren't categorized by section, its basically part numbers)
- 4 dynamics
- Qwen-2 model, but with GPT-2 tokenizer?? (Works weirdly well)
- Notebook for interference
- Library
Open source WIP recreation of OpenAi's musenet. This supports many of the features of the original Musenet by OpenAI such as multiple track support (altough not guided to specific instrument), 4 levels of dynamics, as well as the note start, length, and note. You can find more info in the OpenMusenet2 folder