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Wan use cases

Wan production workflow · Wan 2.7

Create Multi-Character Dialogue Videos with Wan AI

Plan short Wan dialogue scenes with clear speaker order, stable character anchors, readable staging, room tone, and production review checkpoints.

Short narrative exchangesInterview conceptsCharacter previsualization
01 · Workflow principle

Make speaker order visually obvious

Use only the characters needed for the beat, place them in distinct screen positions, and write one short line at a time. Dialogue scenes fail when identity, staging, wording, and camera changes all compete.

  • Name who speaks first and where they stand
  • Use reaction beats instead of overlapping dialogue
  • Keep one stable camera for the first test
02 · Workflow principle

Treat generated dialogue as a draft

Review actual wording, voice, lip timing, identity, and rights before publishing. Separate shots or post-production audio may be safer when exact language is required.

  • Keep each line short enough for the duration
  • Check face and wardrobe consistency after every cut
  • Use authorized voices and identities only

Visual examples

Three distinct ways to apply this workflow

Wan character dialogue scene example
Stable staging makes speaker order easier to read.
Wan dialogue audiovisual production concept
Review voice, mouth timing, and visible performance together.
Wan character performance consistency example
Repeat identity anchors across reaction shots.

Production prompt starters

Start specific, then change one variable at a time

Keep the subject, action, camera, light, sound, and ending coherent. Bracketed fields are the variables to replace.

01

Two-person exchange

Two characters in [location], A on screen left and B on screen right. Stable medium two-shot. A says exactly: '[short line]'. B listens, then responds: '[short line]'. Natural room tone, no music, subtle reactions, hold after B finishes.

Use distinct wardrobe and screen positions.

Use in generator
02

Interview question and reaction

Interviewer remains partly visible in foreground; guest in a stable medium portrait. Interviewer asks: '[question]'. Guest takes one breath, reacts naturally, then answers: '[short answer]'. Quiet room tone, slow push-in only during the answer.

Exact wording still requires review.

Use in generator
03

Silent reaction cutaway

Close reaction of [character B] listening to an off-screen line. Preserve identity and wardrobe. Subtle eye movement and breathing, no spoken response, natural room tone, locked camera, one-second ending hold.

Generate reaction shots separately for editorial control.

Use in generator
04

Walk-and-talk

Two characters walk side by side through [place], same pace and direction. Side tracking medium shot. A delivers '[line]' while B listens; B responds only after A finishes. Stable identities, realistic footsteps, environmental ambience, no camera cut.

Walking adds motion complexity; keep dialogue shorter.

Use in generator

FAQ

Can Wan create two people talking in one clip?

It can be tested, but short lines, clear speaker positions, limited camera changes, and separate reaction shots improve evaluability. Review actual wording and identity.

How do I stop the speakers from swapping identity?

Use distinct visual anchors, fixed screen positions, one speaker at a time, and reference images when available. Avoid complex blocking in the first test.

Should I generate exact final dialogue in the model?

Treat model dialogue as a draft. When exact wording, voice identity, or compliance matters, consider controlled post-production audio and verify permissions.