ContinuerPipeline

This repo contains most of the work done for my Master's Thesis. The Continuer Pipeline is a pipeline that utilizes a novel Latent Diffusion model architecture to take a piece of music and extend it by 5 seconds.

The pipeline is implemented at a high level in the continuer_pipeline.py script, and it extends the DiffusionPipeline class from HuggingFace to allow ease of use.

The file structure of this repo is the following:

.
├── legacy                 # Contains most of the development/attempted methods to get this project working
├── .gitignore             # Basic Python .gitignore with custom ignores for local data folders
├── results                # Folder with some simple examples of           
├── README.md              # This file
└── continuer_pipeline.py  # The main file that contains the pipeline implementation

My Thesis document describes how this tehcnology works in depth, but at a high level, the Continuer Pipeline simply takes in a waveform and predicts what the next 5-second chunk will sound like. It does this using a novel Latent Diffusion model architecture, and ultimately converts all the waveforms to spectrograms to handle this problem in the image space.