Create README.md

README.md

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+---
+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.