Storyboard data model and exporters — lacing-native panels along a timeline
Project description
artful
Storyboard data model and exporters — lacing-native panels along a timeline.
A storyboard is a sequence of panels along a timeline (a song, a video, a podcast clip). Each panel pins an interval of the master asset, optionally points at a project shot, and carries one or more images plus directorial annotations (caption, framing, camera, transition, notes). Panels are persisted as lacing annotations, so a storyboard is queryable, exportable, and round-trippable through every adapter lacing already supports (TextGrid, EAF, JAMS, OTIO, WebVTT, Web Annotation, …) without artful having to reinvent any of it.
artful is not the renderer. It's the panels-along-a-timeline plan that drives a renderer: an LLM authors panels from a script, a human reviews the contact sheet, the same panel data feeds downstream image / video generation.
Install
pip install artful
Requires pydantic>=2.6 and lacing>=0.0.13.
Quick start
from artful import (
PanelBody, PanelImage, Storyboard,
panel_intervals_from_panels, save_storyboard, load_storyboard,
)
from lacing import MemoryStore
sb = Storyboard(
title="The Bells — v1",
asset_id="song-asset-id-abc",
style="noir, candlelight",
panels=(
PanelBody(
panel_id="p1",
caption="Thor at the piano",
framing="medium",
images=(PanelImage(path="composite.png", role="seed"),),
),
PanelBody(
panel_id="p2",
caption="Bells over winter sky",
framing="wide",
camera="slow push-in",
),
),
)
# Pin each panel to a time interval (seconds on the master timeline).
intervals = panel_intervals_from_panels([
("p1", 0.0, 4.0),
("p2", 4.0, 8.0),
])
store = MemoryStore()
save_storyboard(sb, store, panel_intervals=intervals)
# ... later, possibly in a different process / backend ...
loaded = load_storyboard(store, asset_id="song-asset-id-abc")
The store can be any lacing.IntervalAnnotationStore (MemoryStore,
SQLiteStore, PostgresStore, …); the persistence layer is lacing's.
Authoring with LLMs (Markdown)
Markdown is artful's canonical "give an LLM a storyboard to read or write"
format. It round-trips losslessly through to_markdown / from_markdown.
from artful import to_markdown, from_markdown
md = to_markdown(loaded, intervals)
# Show `md` to an LLM, let it edit panels, then…
edited_sb, edited_intervals = from_markdown(edited_md)
save_storyboard(edited_sb, store, panel_intervals=edited_intervals)
The Markdown shape:
# The Bells — v1
- asset_id: `song-asset-id-abc`
- style: noir, candlelight
- aspect: 16:9
## panel p1 [0.00..4.00]s
- framing: medium
Thor at the piano

## panel p2 [4.00..8.00]s
- framing: wide
- camera: slow push-in
Bells over winter sky
Reviewing as a contact sheet (HTML)
from artful import to_html
with open("storyboard.html", "w") as f:
f.write(to_html(loaded, intervals))
to_html produces a self-contained HTML page with embedded styles and
<img> tags pointing at each panel's path / url. Open it in a browser
to review.
Data model
| Type | What it is |
|---|---|
Storyboard |
Title, asset_id (the timeline), panels, style hint, aspect ratio. |
PanelBody |
One panel: panel_id, optional shot_id, images, caption, framing, camera, transition_in, notes. The interval lives on the lacing annotation's reference, not in the body. |
PanelImage |
One image for a panel — artifact_id (sha-256 lacing artifact ref), url, or path, plus a role (thumbnail | seed | reference | alternate) and caption. |
All three are frozen Pydantic models with extra="forbid". Importing
artful registers PanelBody against lacing under the body-schema URI
annot://schema/storyboard-panel/v1, so lacing.validate_body(...) works
out of the box.
Why lacing-native?
Storyboards are an annotation problem: panels are intervals on a timeline
with structured bodies. Rather than invent a new persistence layer, artful
encodes each panel as a lacing.Annotation whose body_schema_uri is the
panel schema. The benefits:
- Allen interval algebra for free: overlaps, gaps, adjacencies.
- Multiple storyboards over the same asset stay separate via the
tierfield on each annotation. - Provenance tracked across edits through lacing's
Provenancemodel. - Format adapters — read or write panels as TextGrid tiers, JAMS annotations, OTIO clips, Web Annotation JSON-LD, etc., via lacing.
A small StoryboardMetaBody schema (URI
annot://schema/storyboard-meta/v1) carries title / style / aspect as a
single timeless annotation alongside the panels.
API surface
from artful import (
# data model
Storyboard, PanelBody, PanelImage,
new_panel_id,
# persistence (round-trip with any lacing.IntervalAnnotationStore)
save_storyboard, load_storyboard,
panel_intervals_from_panels,
# exports
to_markdown, from_markdown,
to_html,
# body-schema URIs
PANEL_BODY_SCHEMA_URI,
STORYBOARD_META_BODY_SCHEMA_URI,
StoryboardMetaBody,
)
PDF export is deferred to the optional [pdf] extra (reportlab).
License
MIT
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