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ToolShengShu Technology/10 trustVerified
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Vidu Q2

Reference-to-video generation — blend up to 7 images into consistent, emotive clips.

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About

Vidu Q2 is the flagship video model from Beijing-based ShengShu Technology, launched September 2025 with a 'Reference-to-Video' update that October. Its differentiator is Multiple-Entity Consistency: you feed up to seven reference images (faces, outfits, props, scenes) and it blends them into a single coherent video while keeping each element's identity intact. The model emphasizes expressive human performance — nuanced facial micro-expressions, natural body motion, smarter camera work — and has since expanded into a full GenAI stack with text-to-image and image editing. A global MaaS API lets businesses integrate it, and pricing undercuts Sora 2 and Veo 3.1.

The honest picture: as a Chinese vendor, ShengShu raises the usual data-governance questions for enterprise buyers. Independent benchmark coverage is thinner than for US competitors, so quality claims rest largely on the company's own demos. The free unlimited 1080p offer was a limited 2025 promotion — expect paid tiers for serious use.

What it can do

  • Reference-to-video with up to 7 reference images
  • Multiple-Entity Consistency across characters and props
  • Expressive facial and emotional performance
  • Text-to-image and image editing in the same model
  • Cinematic camera movements and depth of field
  • Global MaaS API with lip-sync and templates

Setup

Use at vidu.studio in the browser, or integrate via the Vidu MaaS API.

Prerequisites

An account; API use is pay-per-generation.

Use cases

video-generationreference-to-videoadvertising

Works with

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 57; Trending score 82/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.