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--- |
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datasets: |
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- teticio/audio-diffusion-256 |
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library_name: diffusers |
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--- |
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# Variational Autoencoder Conditioned Diffusion Model |
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This model is designed to generate music tracks based on input playlists by extracting the "taste" from the playlists using a combination of a Variational Autoencoder (VAE) and a conditioned diffusion model. |
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## Model Details |
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- **VAE**: Learns a compressed latent space representation of the input data, specifically mel spectrogram images of audio samples. |
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- **Diffusion Model**: Generates new data points by progressively refining random noise into meaningful data, conditioned on the VAE's latent space. |
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