Vidu Q2 Turbo is a high-speed video generation model developed by Shengshu Technology in collaboration with Tsinghua University. As a performance-optimized variant of the Vidu Q2 series, it is designed to balance visual quality with rapid inference, typically generating cinematic clips of 2 to 8 seconds in length in approximately 10 seconds. The model is built on a U-ViT architecture, a hybrid Diffusion-Transformer framework that enhances temporal stability and motion realism.
The model features a specialized Start-End to Video mode (bi-frame guidance), allowing users to define both the first and last frames of a sequence to anchor identity, lighting, and layout throughout the clip. This capability provides precise control over the video's trajectory, making it effective for storyboarding and professional transitions. It also supports standard text-to-video and image-to-video workflows with strong adherence to complex prompts.
Vidu Q2 Turbo supports output resolutions up to 1080p and is optimized to handle human-aware motion, such as natural facial expressions, hair, and garment movement. While the "Turbo" mode is tuned for rapid iteration and social media content, it maintains cinematic camera effects and expressive character rendering similar to the flagship Vidu Q2 Pro model.