---
datasets:
- teticio/audio-diffusion-256
library_name: diffusers
---

# Variational Autoencoder Conditioned Diffusion Model

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.

## Model Details

- **VAE**: Learns a compressed latent space representation of the input data, specifically mel spectrogram images of audio samples.
- **Diffusion Model**: Generates new data points by progressively refining random noise into meaningful data, conditioned on the VAE's latent space.