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| # Audio Diffusion |
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| [Audio Diffusion](https://github.com/teticio/audio-diffusion) is by Robert Dargavel Smith, and it leverages the recent advances in image generation from diffusion models by converting audio samples to and from Mel spectrogram images. |
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| The original codebase, training scripts and example notebooks can be found at [teticio/audio-diffusion](https://github.com/teticio/audio-diffusion). |
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| <Tip> |
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| Make sure to check out the Schedulers [guide](/using-diffusers/schedulers) to learn how to explore the tradeoff between scheduler speed and quality, and see the [reuse components across pipelines](/using-diffusers/loading#reuse-components-across-pipelines) section to learn how to efficiently load the same components into multiple pipelines. |
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| </Tip> |
|
|
| ## AudioDiffusionPipeline |
| [[autodoc]] AudioDiffusionPipeline |
| - all |
| - __call__ |
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| ## AudioPipelineOutput |
| [[autodoc]] pipelines.AudioPipelineOutput |
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| ## ImagePipelineOutput |
| [[autodoc]] pipelines.ImagePipelineOutput |
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| ## Mel |
| [[autodoc]] Mel |
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|
