AudioLCM is a generative model that creates audio from text descriptions. It employs latent consistency models, a distillation technique derived from consistency models, to enable fast and high-fidelity audio synthesis. The repository provides a PyTorch implementation along with pretrained models for researchers and developers to generate audio samples from textual prompts.