MMAudio is a generative model for video-to-audio synthesis that takes video frames and/or text as input to produce matching audio. It uses multimodal joint training across audio-visual and audio-text datasets to enable high-quality audio generation. A synchronization module aligns the generated audio with the video frames for temporal coherence. The project provides pretrained models and interactive demos via Huggingface, Colab, and Replicate.