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Character consistency for AI video — the Cast workflow

Stop identity drift across Reels and teasers. How Onasis Cast keeps faces on-model from still to video.

Subscribers recognize creators by face and vibe, not by prompt engineering luck. When AI video randomizes jawlines between clips, trust erodes fast — especially on subscription platforms where the persona is the product.

What Cast does

Cast is Onasis’s per-workspace character system. Upload approved reference images once, mark an active character, and Studio applies those refs to every still and video generation in that workspace. Agencies assign one workspace per talent so identities never cross-contaminate.

Cast is not a one-click deepfake button. It is production infrastructure: the same identity baseline your reviewers approve on frame one should appear in motion on clip forty.

Still-first protects identity

The highest-quality social clips often start as a locked still. Generate the hero frame with Cast active, approve composition, then animate through the still-to-video pipeline. Reference images carry from still to video — motion does not re-roll the face.

Use platform presets like Instagram Reels or Creator Platform Teaser so safe zones and duration match delivery before you spend video credits.

Brand style vs identity

Identity (Cast) and visual brand language (Style Lock on Brand Style Clips) solve different problems. Cast keeps the person consistent; Style Lock keeps color grade and art direction consistent. White-label agency work often needs both.

Team review at scale

Character-consistent AI video only works if reviewers compare motion against the same refs producers used. Workflow queues in Studio make that explicit: approve the still, then approve the animate. Export packs land with deterministic metadata via Metadata Restructure.

Ready to set your active character? Open Studio and pick a preset — identity locked from frame one.