Vidu

Vidu is a video generation API developed by ShengShu Technology. It supports text-to-video, image-to-video, reference-to-video with multi-entity consistency, and start-end frame interpolation. Vidu is known for fast generation speeds (as low as 10 seconds) and strong anime-style output.

Model Variants

Vidu 2.0

Extended 8-second video generation at up to 1080p
Text-to-video and image-to-video modes
First and last frame control for transitions
Available via the Vidu API and third-party platforms

Vidu Q1

Reference-to-video with multi-entity consistency
Supports up to 7 reference images with semantic understanding
Infers missing elements from text prompts and reference context
Generates coherent scenes combining multiple characters, objects, and environments

Vidu Q2

Optimized for quality and speed balance
Supports 6-8 second generation at up to 1080p
1080p image generation included in higher tiers

Vidu Q3

Latest generation model with improved output quality
Available through the Vidu platform and API

Key Features

Ultra-fast inference (videos generated in as few as 10 seconds)
Multi-entity consistency across characters, objects, and scenes
First and last frame control for precise transitions
Superior anime and 2D animation quality
Up to 1080p resolution output with multiple aspect ratios
Optimized scene templates for interactive effects and e-commerce

Hardware Requirements

Cloud API only; no local hardware required
Accessed via platform.vidu.com or third-party API providers
Credit-based pricing with free tier available

Common Use Cases

Anime and 2D animation series production
E-commerce product video creation
Social media content (TikTok, Reels, Shorts)
Reference-based multi-character storytelling
Marketing and advertising videos
Start-end frame transitions and morphing effects

Key Parameters

prompt: Text description of desired video content
image_url: Source image for image-to-video generation
duration: Video length (4-8 seconds depending on model)
resolution: Output resolution (720p or 1080p)
style: Visual style selection (realistic or animated)
movement_amplitude: Controls intensity of motion in output

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