Can a single reference frame serve as the whole checklist?
No. The checklist also needs protected features, scene state, adjacent-shot context, motion drift, defect evidence, and an approval decision.
Seedance 2.5 character consistency / tools / task entry
Seedance 2.5 Character Consistency Generator turns focused inputs into polished creative results.
Prepared workflow
Prepare a shot-level character checklist for reference versions, protected identity cues, scene state, drift defects, and approval status.
For each shot, select the character passport version and record required face cues, hair, body proportions, wardrobe, accessories, props, temporary marks, emotional state, and preceding shot. Add reference links with rights and approval status. Use explicit not-applicable values instead of empty cells so omissions are visible. Lock the baseline before reviewing attempts; otherwise the team may change the reference after seeing an attractive but inconsistent output. The checklist describes production evidence and does not imply that a named model automatically reads or preserves every field.
Score face structure, eye spacing, hairline, silhouette, garment construction, color, accessory count, prop ownership, hands, and markings. Add temporal checks for feature flicker, changing texture, morphing jewelry, wardrobe edges, gait, and expression transitions. Review start, middle, and end frames plus difficult motion segments; a single chosen still is insufficient. Record defect timecode, severity, confidence, screenshot or clip, and whether the issue is identity, scene state, anatomy, styling, or general image quality. Those categories drive different fixes.
Choose pass, pass with edit, crop, repair, cutaway, regenerate, replace, or escalate. Link every non-pass result to an owner and due date, and require a retest against the same passport version. A sequence view should compare adjacent shots for eyeline, screen direction, wardrobe progression, prop transfer, and emotional beat. Approved output becomes a reference only through an explicit decision. The checklist records observed results in this project; it cannot prove model-level reliability, product availability, access, or future performance.
Capability boundary
Dated evidence
Product and model details can change. These links identify the evidence checked for the claims scoped below.
Circulation only during the recorded collection window; not product, capability, quality, access, or outcome evidence.
Reader notes
No. The checklist also needs protected features, scene state, adjacent-shot context, motion drift, defect evidence, and an approval decision.
Public discussion can identify a useful topic, but it does not verify current product features, access, quality, repeatability, or results. Confirm material claims with current first-party sources and the authorized workspace.
Prepare a shot-extension ledger for boundary frames, invariant cues, prompt versions, join defects, terminal frames, and editorial decisions.
Open field notePrepare a campaign review board for character rights, asset provenance, claims, disclosure, channel rules, defects, approvals, and incidents.
Open field notePrepare a Wan 2.0 text or first-frame video brief, choose delivery constraints, and hand the structured prompt directly to the current Wan template in SEELE Generation.
Open field notePrepare a 4K delivery worksheet covering source raster, transformation history, timeline settings, defect checks, encoding, and playback approval.
Open field noteContinue the workflow
Verify only the current visible workspace context relevant to this reader task.