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| license: mit |
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| # Smule Renaissance Small |
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| A 10.4M paramater generative audio model for restoring degraded vocals in any situation that runs 10.5x faster than real-time on iPhone 12's CPU. |
| Outperforms all open source models in subjective quality; matches commericial models on singing voice restoration. |
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| Technical Report: [](https://arxiv.org/abs/2510.21659) |
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| Extreme Degradation Bench: [](https://huggingface.co/datasets/smulelabs/ExtremeDegradationBench) |
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| ## Getting Started |
| ### Setting up environment |
| ```bash |
| # Create a virtual environment |
| uv venv cleanup --python=3.10 |
| source cleanup/bin/activate |
| uv pip install -r requirements.txt |
| ``` |
| ### Running the model |
| ```bash |
| python main.py {path-to-input} -o {path-to-output} -c {path-to-checkpoint} |
| ``` |