image/generate-actors

Generate AI actor portraits and populate a gallery.

Category: image
Source: workflows/image/generate_actors.py

Input Schema

Field	Type	Default	Description
actors	object	—
actors_generated	object	—
aspect_ratio	string	"3:4"
concurrency	integer	4
gallery_name	string	"default-portraits"
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

resolve_actors → ensure_gallery → generate_and_upload → populate_gallery

Task	Description
resolve_actors	Merge user-supplied actor list with defaults; resolve config.
ensure_gallery	Find or create the portrait gallery. Falls back to local output when server is unavailable.
generate_and_upload	Generate portrait images. Uploads to Fabric or saves locally.
populate_gallery	Add uploaded actor assets to the gallery. Skipped when no asset IDs.

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: image/generate-actors

# Optional fields — copy any line(s) under `input:` and uncomment to set:
#   actors: null
#
#   actors_generated: null
#
#   aspect_ratio: "3:4"
#
#   concurrency: 4
#
#   gallery_name: default-portraits
#

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=image/generate-actors' \
  -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 populate_gallery has no Pydantic return type — workflow output schema is null. Declare a WorkflowOutput subclass and pass it to Flow(output=…) for a strict contract.