Vidu Q3

• 🎬 Text-to-video generation from Shengshu
• 🎨 Strong anime and stylized-output support
• ⚡ Efficient generation pipeline
• 🌍 Built by Chinese AI lab Shengshu Technology
• 🎯 Pairs with an image-to-video sibling

Shengshu

Shengshu is an AI research company focused on generative video technology. The lab is behind the Vidu family of models, which target high-quality video synthesis from both text and image inputs. Their work positions them among a growing cohort of…

Vidu Q3 is Shengshu Technology's text-to-video model, turning written prompts directly into motion clips with a particular strength in anime and stylized aesthetics. Shengshu (生数科技) is the Chinese AI company behind the Vidu line, and this release — dated January 2026 — represents the current generation of its text-driven video pipeline, tuned for efficiency alongside its expressive, illustration-friendly output.

It sits alongside an image-to-video counterpart, Vidu Q3 (image-to-video), which animates an existing still rather than synthesizing a scene from text. Together the two cover the two most common entry points into video creation: starting from a description versus starting from a reference frame. This text-to-video variant is the one to reach for when you have an idea but no source image.

Vidu Q3 is best suited to creators who want quick, stylized short-form video — animation, anime sequences, and other non-photoreal looks — where its efficient generation and stylistic leanings pay off most. Users prioritizing strict photorealism may find its character lies more in the artistic and animated direction.