| 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. | |