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  license: apache-2.0
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  license: apache-2.0
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+ # ContinuerPipeline
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+ 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.
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+ The pipeline is implemented at a high level in the `continuer_pipeline.py` script, and it extends the [`DiffusionPipeline`](https://huggingface.co/docs/diffusers/v0.17.1/en/api/diffusion_pipeline#diffusers.DiffusionPipeline) class from HuggingFace to allow ease of use.
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+ The file structure of this repo is the following:
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+ ```
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+ .
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+ β”œβ”€β”€ legacy # Contains most of the development/attempted methods to get this project working
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+ β”œβ”€β”€ .gitignore # Basic Python .gitignore with custom ignores for local data folders
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+ β”œβ”€β”€ results # Folder with some simple examples of
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+ β”œβ”€β”€ README.md # This file
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+ └── continuer_pipeline.py # The main file that contains the pipeline implementation
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+ ```
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+ 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.
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