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MMAudio

MMAudio is a free, open-source project that generates audio from video or text and aligns generated audio with video frames.

Place
#19 of 29
Score
6.3
MMAudio's website

What MMAudio is

MMAudio is a free, open-source project that generates audio from video or text and aligns generated audio with video frames. Its command-line demo and Gradio interface support video-to-audio and text-to-audio generation. The interface also offers experimental image-to-audio processing: the model was not trained for this mode, and the demo duplicates a still image into a video. The demo saves audio as FLAC and video as MP4; its default output duration is 8 seconds, and durations far from that may reduce quality. MMAudio runs on Linux or in a self-hosted setup. Installation requires 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 16-bit inference, the default large_44k_v2 model uses around 6 GB of GPU memory, according to project experiments. Generated results may include unintelligible speech-like sounds or background music, and the model may struggle with unfamiliar concepts. The code is MIT licensed, while pretrained checkpoints use CC-BY-NC 4.0; the project does not guarantee pretrained models are suitable for commercial use.

Good

  • Generates audio from video and text inputs.
  • Aligns generated audio with video frames.
  • Offers command-line and Gradio interfaces.
  • Saves audio as FLAC and video as MP4.
  • Links to Hugging Face, Colab, and Replicate demos.

Watch out

  • Image-to-audio is experimental and not a training target.
  • Installation requires Python 3.9+ and PyTorch 2.5.1+.
  • Only tested on Ubuntu, according to the project.
  • Commercial suitability of pretrained models is not guaranteed.

Who it suits

MMAudio suits Linux users or self-hosters looking to generate audio from video or text. Its experimental image mode is for users willing to try a capability the model was not trained for.

Verdict

MMAudio provides video- and text-based audio generation with synchronization and both command-line and Gradio interfaces. Check the image-mode caveat, hardware needs, output-duration default, and checkpoint license before choosing it.

Plans and prices

From MMAudio's own pricing page, checked 10 Oct 2026.

All about pricing
PlanPriceWhat it gives you
MMAudioFreeCode released under MIT license · pretrained checkpoints under CC-BY-NC 4.0

The facts

Each one read from MMAudio's own pages, with the date it was checked.

What it does

Commercial use
The project says it does not guarantee pretrained models are suitable for commercial use.checked 4 Oct 2026
Data handling
The maintainers say they cannot redistribute the training datasets for copyright reasons.checked 10 Oct 2026
Demo availability
The repository links to Hugging Face, Colab, and Replicate demos.checked 10 Oct 2026
Generation modes
The command-line demo supports video-to-audio and text-to-audio generation.checked 4 Oct 2026
Hardware
The README says inference uses around 6 GB of GPU memory in 16-bit mode in its experiments.checked 10 Oct 2026
Image limitation
Image-to-audio is experimental and the model was not trained for it; the demo duplicates the image into a video for processing.checked 4 Oct 2026
Input processing
The CLIP encoder resizes frames to 384×384 pixels, while Synchformer resizes the shorter edge to 224 pixels and center-crops each frame.checked 4 Oct 2026
Installation
The repository documents installation with Python 3.9 or later and PyTorch 2.5.1 or later, and says it has only been tested on Ubuntu.checked 10 Oct 2026
Interface
The project provides a Gradio interface for video-to-audio and text-to-audio, with experimental image-to-audio support.checked 4 Oct 2026
Interfaces
The project provides a command-line demo and a Gradio interface.checked 10 Oct 2026
Joint training
Its multimodal joint training uses audio-visual and audio-text datasets.checked 10 Oct 2026
Known limitations
The model may produce unintelligible human speech-like sounds, background music, and poor results for unfamiliar concepts.checked 10 Oct 2026
Licensing
The repository code is MIT licensed, while pretrained checkpoints are released under CC-BY-NC 4.0.checked 4 Oct 2026
Model license
The code is MIT licensed, while the pretrained checkpoints are released under CC-BY-NC 4.0; the README does not guarantee pretrained models are suitable for commercial use.checked 10 Oct 2026
Output and duration
The demo saves audio as FLAC and video as MP4, and its default output and training duration is 8 seconds.checked 4 Oct 2026
Output duration
The default output and training duration is 8 seconds; durations far from training duration may reduce quality.checked 10 Oct 2026
Purpose
MMAudio generates synchronized audio from video and/or text inputs.checked 10 Oct 2026
Runtime requirements
Installation requires Python 3.9+ and PyTorch 2.5.1+ with corresponding torchvision and torchaudio; the project says it has only been tested on Ubuntu.checked 4 Oct 2026
Support
The project invites users to open a repository issue if they notice a failure mode or believe there is a bug.checked 4 Oct 2026
Synchronization
A synchronization module aligns generated audio with video frames.checked 10 Oct 2026
Synthesis modes
The included demos support video-to-audio and text-to-audio synthesis, with experimental image-to-audio processing through a duplicated still image.checked 10 Oct 2026
Training hardware
The authors recommend, for smooth training, single-node setups with two 80 GB H100 GPUs for the small model or eight for the large model, plus hundreds of gigabytes of system memory.checked 10 Oct 2026
Training limitation
The current training script does not support _v2 training.checked 10 Oct 2026

Where it runs

Demos and integrations
The repository links to Hugging Face and Colab demos and a Replicate demo.checked 4 Oct 2026

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