Runway positions consistency across characters, locations and objects as a core Gen-4 workflow, targeting a central problem in serialized short drama: viewers do not identify a character in one image but across dozens of shots and episodes, alongside recurring spaces and props.
REPORTED
The vendor places consistency inside the public workflow
Runway's research page emphasizes consistency for characters, locations and objects across scenes and presents the associated workflow direction.
That establishes vendor positioning, not AniVerse independent validation and not a cross-model ranking.
ANALYSIS
Serial consistency depends on three state types
Identity state includes face, body, wardrobe and hair; spatial state includes geography, light and prop position; narrative state includes what characters know, what objects experienced and how action continues.
A model can preserve visual identity while breaking space or story. Face similarity alone misses continuity errors that actually break viewing.
FIELD NOTE
Test continuous scenes, not character portraits
Test one character entering two locations, changing wardrobe, taking and leaving a prop, completing an action and returning to the original scene. Preserve references, boundary state and failures per shot.
What passes is not a character in general but a shot class under a specific asset package and version; retest after updates.
Evidence boundary: Vendor-selected shots do not provide failure distribution, revision count or cross-project cost. Without fixed assets and the same reviewers, consistency positioning is not production stability.