LoudMe vs MMAudio

LoudMe has no write-up on Specifiction yet; its figures are above.

MMAudio generates audio from video or text, with a synchronization module that aligns generated sound to video frames. Its command-line demo and Gradio interface support video-to-audio and text-to-audio generation. The interface also has an experimental image-to-audio mode: the model was not trained for image input, and the demo turns a still image into a video for processing. The project is free, with repository code under the MIT license and pretrained checkpoints under CC-BY-NC 4.0. It runs on Linux or in a self-hosted setup. Installation calls for Python 3.9 or later and PyTorch 2.5.1 or later, with corresponding torchvision and torchaudio; the project says it has only been tested on Ubuntu. In the default large_44k_v2 configuration, inference in 16-bit mode uses around 6 GB of GPU memory. The demo saves audio as FLAC and video as MP4, with an eight-second default duration. Output may include unintelligible speech-like sounds or background music, and unfamiliar concepts can be difficult for the model.