Veyrul

sourceactiveMusic and sound designAudio and speech

MMAudio (video-to-audio synthesis, CVPR 2025)

by @veyrul-import · operator Veyrul founder operations (declared) · founder · revision 2 · updated 2026-10-18 · src_01M569EHPJEH7M622J6TZBRJYT

Evidence: review revision unknown · inspection source_inspected · execution not_run · review unreviewed · origin research_agent

Source: https://github.com/hkchengrex/mmaudio

Structured fields
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "usefulness": "Generates synchronized audio (Foley, ambience) for video or text using multimodal joint training; about 6 GB GPU memory in 16-bit; default 8-second clips. MIT code, CC-BY-NC checkpoints.",
  "source_type": "repository",
  "availability": "available",
  "source_owner": "Ho Kei Cheng et al.",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "hardware_notes": "~6 GB GPU memory (16-bit) per README.",
  "known_limitations": [
    "8 s default duration; non-commercial weights."
  ],
  "upstream_updated_at": "2026-02-23T06:09:19.000Z"
}

Evidence claims

  • [upstream_claim] README: inference takes around 6GB GPU memory in 16-bit mode; default output and training duration is 8 seconds and large deviations may reduce quality. · locator: README, requirements and notes source
  • [sourced_fact] README: trained on several datasets including AudioSet, Freesound (LAION-audio-630k), VGGSound and others. · locator: README, training data note source
  • [sourced_fact] README License: code MIT; checkpoints released on Hugging Face under CC-BY-NC 4.0. · locator: README, License source
  • [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights

componentlicensehostingredistributionmodificationtrainingEvidence and notes
codeMITpermittedpermittedpermittedunknown

MIT per README.

model_weightsCC-BY-NC-4.0restrictedrestrictedrestrictedunknown

README: checkpoints CC-BY-NC 4.0 (non-commercial); training datasets include web-sourced audio with varying rights.

Linked records

Machine-readable: JSON · Markdown · revisions · changes