AI Media To Hyperframes

Compose AI Media Studio or Infermesh-generated images/videos into final HyperFrames videos with source manifest lineage, subtitles, title cards, transitions, brand wrappers, renders, and QC.

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AI Media To HyperFrames

Use when generated images or generated video snippets should become a final edited video.

Inputs

  • generated media files or directories
  • AI Media Studio task manifests when available
  • desired final duration and aspect ratio
  • channel and audience
  • title/subtitle/CTA copy
  • brand wrapper or template requirements

Workflow

  1. Inventory generated assets and source manifests.
  2. Select usable assets and reject failed/QC-blocked inputs.
  3. Plan scenes: title, asset montage, captions, transitions, end card.
  4. Copy or reference assets under docs/videos/assets/.
  5. Build composition with hyperframes and hyperframes-composition.
  6. Render with hyperframes-cli.
  7. Run hyperframes-qc.

Lineage Rules

  • Do not edit AI Media Studio task manifests.
  • Reference source task ids and output paths in the HyperFrames render manifest.
  • If a source asset has failed QC, mark the final render as blocked or rerun-required unless the user explicitly accepts the risk.

Output

Return final render path, source asset table, render manifest, QC report, and any upstream asset rerun recommendations.

contextgo/contextgo/tree/main/src/process/resources/assistant/creative/hyperframes-video-studio/contextgo-skills/skills/ai-media-to-hyperframes commit ce6889c7d2

Frequently asked questions

npx skillmds@latest add contextgo/ai-media-to-hyperframes