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| # Audio Diffusion | |
| [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. | |
| The original codebase, training scripts and example notebooks can be found at [teticio/audio-diffusion](https://github.com/teticio/audio-diffusion). | |
| <Tip> | |
| 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. | |
| </Tip> | |
| ## AudioDiffusionPipeline | |
| [[autodoc]] AudioDiffusionPipeline | |
| - all | |
| - __call__ | |
| ## AudioPipelineOutput | |
| [[autodoc]] pipelines.AudioPipelineOutput | |
| ## ImagePipelineOutput | |
| [[autodoc]] pipelines.ImagePipelineOutput | |
| ## Mel | |
| [[autodoc]] Mel | |