ACE-Step is a high-fidelity audio synthesis system and diffusion model designed to generate music and vocals from text descriptions. It functions as a music generator and vocal synthesizer, using a diffusion transformer decoder to produce audio across various languages and genres.
The project provides tools for text-guided audio editing, including the ability to extend the duration of tracks, regenerate specific song segments, and perform latent-space audio inpainting to modify lyrics or styles. It also includes a framework for audio style fine-tuning using low-rank adaptation to adapt vocal characteristics and musical styles.
The system covers broad capabilities in music production, such as synthesizing instrumental samples and loops, generating vocal accompaniments from recordings, and producing complementary instrument stems based on reference audio. It supports variable-length sequence generation to synthesize audio of custom durations.
