This presentation will showcase my PhD research focused on democratizing AI music creation by developing models that are both fast and controllable. I will present novel architectures and training techniques, from efficient consistency autoencoders for audio compression to latent diffusion models for controllable accompaniment, demonstrating how to achieve high-quality waveform music generation with unprecedented speed and user-driven creative direction.