vta-ldm is a deep learning model focused on video-to-audio generation. It can generate audio content semantically and temporally aligned with the video input. It represents a new breakthrough in the field of video generation, especially following the significant progress made in text-to-video generation technology. Developed by Manjie Xu and others at the Tencent AI Lab, the model has the ability to generate audio that is highly consistent with video content, and has important application value in video production, audio post-processing, and other fields.