AudioLCM is a text-to-audio generation model implemented in PyTorch. It generates high-quality and efficient audio using a latent consistency model. Developed by Huadai Liu and others, it provides an open-source implementation and pre-trained models. It can convert text descriptions into near-realistic audio, holding significant application value, particularly in areas like speech synthesis and audio production.