hao-ai-lab-FastVideo/docs/cookbook/mmaudio.md

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MMAudio recipes

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MMA

Maintained family · Inference

MMAudio inference recipes

MMAudio adds synchronized audio to video or generates audio from text. The checkpoint must be in Diffusers layout; the recipe loads the converted FastVideo repo through the `MMAUDIO_MODEL_PATH` environment variable the example reads.

Inference live Distillation planned Fine-tuning planned Training planned Evaluation planned Optimization planned Deployment planned

Choose a model and GPU count

Choose a model, then pick a GPU count. Each selection maps to one checked-in recipe. If that recipe does not use your chosen count, the page says so instead of guessing.

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Before you run

The generated commands expect a local clone:

git clone https://github.com/hao-ai-lab/FastVideo.git
cd FastVideo

Use Configuration for supported Python and CLI settings, Optimizations for attention and memory tradeoffs, and the support matrix for the supported model and optimization surface.

Troubleshooting

• If the example reports a missing local converted_weights/mmaudio/large_44k_v2 path, the MMAUDIO_MODEL_PATH env var from the cookbook command was not applied; export it in the same shell.
• Alternatively convert upstream weights yourself with scripts/checkpoint_conversion/convert_mmaudio_to_diffusers.py and point the env var at the result.

Evidence status

All recipes on this page are Source-backed: their commands, model IDs, and flags were validated against the checked-in FastVideo sources listed above (static validation). No runtime GPU validation is recorded for these recipes, so GPU model fit, memory use, throughput, and runtime duration are Unknown and deliberately not claimed. Runtime buttons show only the GPU counts configured in checked-in sources.