Vidu AI

Vidu is an AI video generation platform built by Shengshu Technology, a Chinese startup spun out of Tsinghua University whose research team proposed the U-ViT (a transformer-based diffusion backbone) before diffusion transformers became the industry default. It turns text prompts and still images into short cinematic clips, and competes head-on with Runway, Kling, Pika and Luma Dream Machine in the increasingly crowded text-to-video space.

What actually sets Vidu apart is its "reference-to-video" (multi-entity consistency) feature. Rather than generating from a single prompt or one image, you can feed it several reference images — a character, an object, a setting — and Vidu will keep those subjects recognizably consistent across the generated shot. For creators trying to build a recurring character or maintain a product's look across multiple clips, that consistency is a bigger practical win than a marginal bump in raw resolution, and it's something most rivals still handle poorly.

The platform's higher-tier Q1 model targets 1080p output with tighter motion and added AI sound effects, and Vidu leans into template-driven effects (one-tap viral transitions and styles) plus start-and-end-frame control for stitching transitions. It's especially strong on stylized and anime-leaning content. This is a tool for social creators, marketers, and animators who want fast, controllable short clips — not a replacement for a full VFX pipeline.