benchmarks/lipsync-quality

Lipsync quality benchmark — compare local vs remote lipsync models.

Category: benchmarks
Source: workflows/benchmarks/lipsync_quality.py

Input Schema

Field	Type	Default	Description
audio_path	string	""	Path to local voiceover audio.
audio_url	string	""	URL to download voiceover audio.
models	string[]	[]	Subset of models to benchmark. Empty = all available.
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.
video_path	string	""	Path to local talking-head video.
video_url	string	""	URL to download talking-head video.

Output Schema

Field	Type	Default	Description
kind	object	—	Variant card shape: video / carousel / image / text. Surfaced on the per-variant entry of the run-output API and used by gallery UIs to pick the right layout.
output_dir	string	""
results	object[]	—
summary	object	—

Task Pipeline

prepare_inputs → benchmark_lipsync_models

Task	Description
prepare_inputs	Ensure video and audio files are available locally.
benchmark_lipsync_models	Apply lipsync with each model and collect results.

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: benchmarks/lipsync-quality

# Optional fields — copy any line(s) under `input:` and uncomment to set:
# Path to local voiceover audio.
#   audio_path: ""
#
# URL to download voiceover audio.
#   audio_url: ""
#
# Subset of models to benchmark. Empty = all available.
#   models: []
#
# Path to local talking-head video.
#   video_path: ""
#
# URL to download talking-head video.
#   video_url: ""
#

input: {}

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=benchmarks/lipsync-quality' \
  -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.).