vidu/vidu models

vidu by ShengShu — AI Model Family

vidu is the flagship AI video generation family from ShengShu Technology, a leading Chinese AI startup pioneering generative video tools. This family transforms static images, text descriptions, and references into dynamic, high-definition videos with cinematic quality, solving the challenge of rapid, creative video production for creators, marketers, and developers. Known for its core strengths in dynamic motion and imaginative frame interpolation, vidu enables users to animate ideas effortlessly, producing clips up to 8 seconds long. The family includes specialized models like Vidu Template (Image to Video), alongside evolutions such as Vidu Q1, Q2, and Q3, covering image-to-video, text-to-video, reference-to-video, and template-based generation.

vidu Capabilities and Use Cases

The vidu family excels in image-to-video (I2V), text-to-video (T2V), reference-to-video, and template-driven workflows, with Vidu Template (Image to Video) as a key entry point for quick animations from static uploads. Vidu Q2 focuses on image-to-video and reference-to-video, supporting 2–8 second clips with first/last-frame control and presets like "cinematic" for quality or "lightning" for speed. Vidu Q1 introduces multi-reference features for consistent multi-entity videos, while Q3 advances to native audio integration, generating visuals, dialogue, sound effects, and music in one pass.

Use cases span content creation, advertising, and prototyping:

• Marketing ads: Animate product images into engaging shorts.
• Social media reels: Turn photos into trendy videos via templates.
• Storyboarding: Prototype scenes with multi-shot consistency.
• Short dramas: Produce screenable drafts with synced audio.

A realistic example using Vidu Template (Image to Video): Upload a photo of a serene mountain landscape and prompt: "A majestic eagle soaring over snow-capped peaks at dawn, with smooth camera pan from left to right, cinematic lighting, 4-second clip." The model generates a fluid, high-definition video with natural motion and gap-filling imagination between frames.

Models integrate seamlessly in pipelines—start with text-to-image for references, feed into Vidu Q2 for I2V motion, then refine with Q1 multi-reference for character consistency, and finalize in Q3 for audio-enhanced output. Technical specs include HD resolutions, 2–8s durations, multi-entity consistency, micro-expressions, smooth camera moves (push-pull), and formats optimized for quick exports.

What Makes vidu Stand Out

vidu distinguishes itself through superior motion dynamics and imaginative interpolation, filling gaps between frames with realistic "imagination" for fluid, lifelike videos—ideal for stylized character shots, ads, and shorts. Vidu Q2 shines in subtle facial expressions and steady camera language, outperforming in micro-acting and practical workflows. Q1's multi-reference ensures precise subject consistency across entities, while Q3's native audio output skips post-production stitching, delivering complete clips with dialogue, effects, and music.

Strengths include high consistency, prompt adherence, and speed presets, enabling faster turnaround without quality loss. It's particularly strong in cinematic presets, environmental physics, and reference injection for anchored styles or characters. This family suits filmmakers, content creators, ad agencies, and developers needing controllable, production-grade video from minimal inputs—perfect for those prioritizing detail-oriented motion over generic outputs.

Access vidu Models via each::labs API

each::labs is the premier platform for seamless access to the full vidu family from ShengShu, unifying all models—including Vidu Template (Image to Video), Q1, Q2, and Q3—through a single, powerful API. Experiment in the interactive Playground for instant testing or integrate via SDK for scalable apps, with support for I2V, T2V, references, and audio pipelines. Sign up to explore the full vidu model family on each::labs and unlock ShengShu's cutting-edge video generation today.