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.
- Downloads last month
- 1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support