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    Consistency

    Character consistency in AI video

    Keep the same protagonist looking the same across every shot, every model, every render.

    Character drift is the #1 reason AI video looks 'AI-made'. LearnBook's identity anchor system folds reusable characters into every prompt — Sora 2, Veo 3, Kling, Seedance — so the protagonist stays on-model from scene to scene.

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    Why this is hard

    Generate the same character twice with a vanilla AI video model and you'll get two different faces. The fix shouldn't be 'rebuild the prompt by hand every shot' — it should be 'attach the character once'.

    How LearnBook solves it

    Identity anchors, model-agnostic

    Once you save a character, LearnBook derives a 6-layer identity anchor (bone structure, features, marks, colour, skin, hair) and folds it into every prompt — regardless of which video model you pick.

    Reference frames + cross-shot binding

    Lock a hero frame from the Visual Workspace, then bind it to multiple shots in the Video Workspace. Image-to-video models (Kling) carry the visual; text-to-video models (Sora 2, Veo 3) carry the anchors.

    Anchor versioning

    Refine the character mid-project? LearnBook bumps an anchor version and flags every shot that needs a re-render — no silent inconsistency creeping into the timeline.

    The 3-step flow

    Step 1

    Save the character once

    Add a name, a reference frame, and a short visual description. LearnBook derives identity anchors automatically.

    1

    Step 2

    Bind the character to shots

    From the Video Workspace, attach the character to each shot. The anchor flows into the prompt for whichever video model you select.

    2

    Step 3

    Render across models, stay consistent

    Run the same shot through Sora 2 for the hero motion and Kling for fast iteration. The character looks the same in both — that's the contract.

    3

    Recommended tools

    The LearnBook surfaces this use case routes into.

    Sora 2

    Cinematic motion with character

    Open
    Kling

    Image-to-video from your hero frame

    Open
    Video Workspace

    Lock characters across multi-shot scenes

    Open

    FAQ

    Does this work across different AI video models?

    Yes. Identity anchors are model-agnostic — LearnBook injects them into Sora 2, Veo 3, Kling, Seedance and Nano Banana Pro prompts using each model's expected format.

    How many characters can I save?

    The Pro plan covers a working library of dozens of characters; Team and Enterprise extend this with shared libraries across users.

    Can I update a character mid-project?

    Yes. Editing the character bumps an anchor version. LearnBook flags every render produced under the old version so you can selectively re-generate the affected shots.

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