Skip to content

image/generate

AI Image Generation — Gemini native image generation with text.

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

FieldTypeDefaultDescription
hookstring""Hook text to distill into overlay
num_thumbnailsinteger3Number of variants to generate
platformstring"youtube"Target platform
regenerateobjectWhen 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.
thumbnail_stylestring"vibrant, dramatic lighting, cinematic"Visual style
thumbnail_textstring""Explicit overlay text (skips distillation)
topicstring""Video title or topic for context
variantsinteger1Number of independent variant executions (1–10). When > 1, the engine runs the workflow N times with different sampling, producing N outputs.
FieldTypeDefaultDescription
kindstring"image"Card kind for consumers — always ‘image’.
selected_thumbnailstring""Best thumbnail path
thumbnail_pathsstring[]Saved thumbnail paths
generate_thumbnail
TaskDescription
generate_thumbnailGenerate thumbnails — delegates to SDK stage.

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
# Optional fields — copy any line(s) under `input:` and uncomment to set:
# Hook text to distill into overlay
# hook: ""
#
# Number of variants to generate
# num_thumbnails: 3
#
# Target platform
# platform: youtube
#
# Visual style
# thumbnail_style: "vibrant, dramatic lighting, cinematic"
#
# Explicit overlay text (skips distillation)
# thumbnail_text: ""
#
# Video title or topic for context
# topic: ""
#
input: {}

Run it locally:

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

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

Terminal window
curl -X POST 'https://gofabric.dev/v1/workflows/runs?name=image/generate' \
-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.).

  • Task generate_thumbnail has no Pydantic types — contract is opaque to consumers.