MELODYFLOW Unleashed: Effortless Music Editing and Generation through Text-Guided AI Table of Contents Introduction Method Latent Audio Representation Conditional Flow Matching Model Text-Guided Editing through Latent Inversion Regularized Latent Inversion Improving Flow Matching for Text-to-Music Generation Experimental Setup Model Generation and Editing Datasets Metrics Results Text-Guided Music Editing Text-to-Music Generation Latent Inversion Related Work Discussion Appendix Introduction MELODYFLOW is introduced as a high-fidelity, text-controllable model for generating and editing music. Built on continuous latent representations with a 48 kHz stereo variational autoencoder (VAE) codec, MELODYFLOW uses