VULTUROIDS | AI Video Continuity

VULTUROIDS | AI Video Continuity & Identity Testing

How well can an AI video model transform a complex cinematic reference image into motion without compromising visual identity, world-building or scene continuity?

Through Teamworks Creative, I conducted an experimental generative filmmaking study for VULTUROIDS, a dark, post-apocalyptic political-fantasy concept.

The creative challenge

The scene depicts a ruined United Nations headquarters in a fictional future, surrounded by a vast assembly of vulture-like figures, imposing banners and a central winged character.

The objective was to evaluate whether image-to-video generation could preserve this complex visual world while introducing convincing cinematic movement.

Production and testing workflow

• Developed cinematic 9:16 reference-image variations using Dreamina AI. • Explored architectural composition, lighting, crowd arrangement and character positioning. • Tested an image-to-video sequence using Kling 3.0 Standard through Creen AI. • Reviewed the generated footage for movement, identity consistency, scene preservation and unintended visual changes.

Key observations

What worked: The video demonstrated promising atmosphere and crowd movement, showing how generative video can bring scale and energy to an established visual concept.

What required improvement: Prominent character identities and visual details were not consistently maintained. This made the result useful as research evidence rather than approved final-production footage.

What I evaluated

• Reference-image fidelity • Character and crowd identity consistency • Environment and architectural continuity • Movement and cinematic atmosphere • Unintended visual changes • Suitability for further production development

Key finding

A visually impressive AI-generated sequence is not necessarily production-ready. Large-scale motion and atmosphere can succeed while character identity and continuity still require revision.

Project: VULTUROIDS — Generative Film R&D Production: Teamworks Creative Role: AI Creative Direction, Prompt Development & Visual Quality Evaluation

Tools and models: Dreamina AI for reference imagery; Kling 3.0 Standard via Creen AI for video testing.

Supporting reference images, source-prompt evidence, the generated clip and QA notes are provided in the project folder.

Research disclosure: The Dreamina reference-image prompt is evidenced by platform screenshots. The complete original Kling video-generation prompt has not been independently recovered.