What is it

Vidu is an AI video generation platform developed by Shengshu Technology, a Tsinghua-affiliated Chinese AI lab. Its product line spans Vidu 2.0, the Q1 model that introduced multi-subject Reference-to-Video, and the current Q3 model that generates 16-second cinematic clips with native audio and lip sync in a single pass. Vidu is available through a web studio, an iOS app, an official API, and a Discord community.

What it can do

It can generate video from text or image prompts, combine up to seven reference images into a single coherent scene through Reference-to-Video, animate from start and end frames, drive virtual camera moves like dolly/pan/tilt, synthesize lip-synced dialogue and ambient audio natively (Q3), and extend existing clips by one to seven seconds. The web tool outputs 720p on the free tier and 1080p on paid tiers at 24 fps, with single-generation length up to 32 seconds on Premium and Ultimate plans.

Who is it for

Professional video creators, advertisers, agency teams, filmmakers working on previsualization and concept work, and API integrators who want a Chinese-developed alternative to Sora and Veo with strong multi-subject consistency.

Key Features

Reference-to-Video – Combine up to seven reference images

Provide up to seven reference images covering characters, objects, and scene elements, and Vidu's Q-series model fuses them into a single coherent video. Faces, clothing, props, and environments stay recognizable across frames, making this Vidu's flagship differentiator for narrative scenes that need multiple specific subjects in the same shot.

Text-to-Video & Image-to-Video – Dual-prompt entry

Start from a written description or upload a still image and let Vidu generate cinematic motion from it. Image-to-Video preserves the source composition and style while introducing motion, while Text-to-Video gives a clean prompt-only path for concepts that don't yet have visual references.

Vidu Q3 Native Audio & Lip Sync – One-pass dialogue clips

Q3 generates synchronized audio — dialogue, sound effects, and ambient music — alongside video in a single pass, with lip movement matched to the spoken track. This removes the second-tool step of routing video through a separate lip-sync or voice-over service for dialogue-driven scenes.

Start & End Frame Control – Constrained scene direction

Lock in the first and last frame of a clip and let Vidu interpolate the motion between them. This makes generations far more predictable for storyboard-driven work where the in and out states are already designed.

Use Cases

Multi-character narrative scenes

Filmmakers and animators use Reference-to-Video to place up to seven recognizable subjects — protagonists, antagonists, props, locations — in the same generated clip, solving the multi-subject identity problem that plagues single-reference video models.

AI-driven commercial and ad production

Ad agencies generate product commercials by combining a product reference image with a model image and an environment reference, producing on-brand cinematic shots faster than a traditional shoot and with full commercial rights on paid plans.

Dialogue-driven short clips

Content creators use Q3's native audio and lip sync to produce talking-character clips in one pass, removing the post-production step of running video through a separate lip-sync service for dialogue.

Storyboard-to-clip conversion

Storyboard artists use Start and End Frame Control to convert their key frames directly into animated sequences, with the model interpolating motion that respects the locked-in opening and closing compositions.

Pricing plans

Frequently Asked Questions

Discussion

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