How to Use Vidu Q2 for Consistent Multi-Shot AI Video

Vidu Q2 is an AI video model from ShengShu that maintains character and scene consistency across multiple shots using a reference-image system. It runs on the web and via API, with clips from about 4 to 8 seconds.

Consistency is the problem that has kept AI video out of real production. You generate shot one, then shot two, and the character’s face has quietly changed. Vidu Q2 attacks that directly with reusable reference subjects.

What Is Vidu Q2’s Consistency Feature?

You upload a reference image for a character or a scene and attach it to each generation. The model locks the subject’s appearance and reuses it across shots, so a three-shot sequence keeps the same face, outfit, and set.

It’s not perfect — drift creeps in over many shots and strong changes in pose or lighting — but it’s far better than prompting a name and hoping.

How Do You Build a Consistent Sequence?

1. Lock your character reference first. Use a clean, well-lit portrait on a plain background.
2. Generate a “master shot” and keep it. This becomes your visual anchor.
3. For each new shot, attach both the character reference and the master shot.
4. Describe only what changes: the camera angle, the action, the location.
5. Generate two variants per shot and pick the closest match to your anchor.

What Does Vidu Q2 Cost?

• Free tier: a monthly credit allowance with watermarks.
• Paid: subscription tiers from roughly $10-$30/month depending on credits and resolution.
• API: per-generation pricing for developers, with volume discounts.

Reference-based generations cost more credits than plain text-to-video, so plan the bill around how many shots you actually need.

How Does Consistency Compare?

Against competitors, Vidu Q2 leads on subject consistency for character-driven shorts. Veo still produces more photoreal motion and better physics. Luma Ray3 wins on color range. Where Vidu stands out is a coherent cast across a sequence — the thing you need to tell a story rather than post a single loop.

Where Does It Still Drift?

Three situations. Large pose changes. Dramatic lighting shifts between shots. And close-ups after wide shots, where the model re-interprets facial detail. Reducing shot-to-shot contrast in framing helps a lot.

Also expect the usual limits: fast motion blurs, hands are hit or miss, and on-screen text is unreliable.

Quick Summary

• Vidu Q2 uses reference images to keep characters and scenes consistent across shots.
• Clips run 4-8s; free tier is watermarked, paid from ~$10-$30/month.
• Leads on multi-shot consistency; Veo leads on physics, Ray3 on color.
• Drifts on big pose changes, lighting shifts, and wide-to-close-up cuts.