global/video-to-shorts

Video-to-Shorts pipeline — OpenShorts-style viral clip extraction.

Category: global
Source: workflows/video/video_to_shorts.py

Input Schema

Field	Type	Default	Description
media_path	object	required
regenerate	object	—	When set, this run is a regeneration. Workflows may read direction / keep / extra_instructions to modulate prompts; the engine persists parent_run_id and parent_variant_index as run lineage columns.
variants	integer	1	Number of independent variant executions (1–10). When > 1, the engine runs the workflow N times with different sampling, producing N outputs.

Output Schema

No schema defined.

Task Pipeline

download_media → transcribe_audio → detect_viral_moments → extract_clips → detect_and_track_subjects → crop_to_vertical → align_words → render_subtitles → compose_final_shorts

Task	Description
download_media	Download video/audio from a URL or copy from a local path.
transcribe_audio	Transcribe media — delegates to SDK stage (Whisper word-level timestamps).
detect_viral_moments	Detect high-potential viral moments from a video transcript using Gemini.
extract_clips	Extract individual clips from the source video using FFmpeg.
detect_and_track_subjects	Detect faces and track subjects across frames using MediaPipe + YOLO.
crop_to_vertical	Crop video to 9:16 vertical following tracked subjects.
align_words	Format transcript segments into subtitle entries with word-level timing.
render_subtitles	Burn subtitles into the video using FFmpeg’s drawtext or ASS filter.
compose_final_shorts	Collect all processed clips into the final output.

Run-spec example

Save the YAML below as my-run.yaml, edit the values, and run with the CLI or POST it to the API. Required fields are uncommented; optional knobs are documented above the input: block — copy any line under input: and uncomment to set.

workflow: global/video-to-shorts

# Optional fields — copy any line(s) under `input:` and uncomment to set:

input:
  media_path: ""

Run it locally:

fab-workflow --from-file my-run.yaml

Or submit over the wire — the same file is the request body:

curl -X POST 'https://gofabric.dev/v1/workflows/runs?name=global/video-to-shorts' \
  -H 'Authorization: Bearer fab_xxx' \
  -H 'content-type: application/yaml' \
  --data-binary @my-run.yaml

Every workflow also accepts the universal WorkflowInput fields — variants (1–10 fan-out) and regenerate (creative-direction hints with run lineage). See Run-specs (YAML / TOML / JSON) for the full top-level shape (metadata, priority, bundle, parent, etc.).

Warnings

• Last user task compose_final_shorts has no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract.