Video Generation Model

Vidu SE2V

Vidu SE2V (Start-End-to-Video) generates seamless video sequences by intelligently interpolating between a provided starting frame and ending frame, enabling precise narrative control and visual continuity for professional AI-driven content creation.

Overview

Vidu SE2V is a video generation model available on the GenVR platform. Vidu SE2V (Start-End-to-Video) generates seamless video sequences by intelligently interpolating between a provided starting frame and ending frame, enabling precise narrative control and visual continuity for professional AI-driven content creation.

Key Features

  • Dual-frame conditioning with start and end image inputs
  • Intelligent motion interpolation algorithms
  • Temporal consistency and coherence maintenance
  • High-resolution video output generation
  • Style and character preservation across frames
  • Customizable duration and frame rate control
  • Smooth camera movement prediction
  • Object trajectory optimization

Popular Use Cases

  1. Creating product reveal videos with specific opening and closing shots
  2. Generating smooth transitions between storyboard panels for film pre-visualization
  3. Animating logo sequences with defined start and end states
  4. Producing seamless looping backgrounds for websites and digital signage
  5. Visualizing character movements between key poses for animation reference

Best For

  • Commercial advertising and product visualization
  • Storyboard animatics and pre-visualization
  • Social media content requiring specific start/end visuals
  • Visual effects and motion graphics workflows
  • Animation and character motion planning

Limitations to Keep in Mind

  • Requires high-quality, well-aligned input images for optimal interpolation results
  • Limited to single continuous shot generation without cuts or scene changes
  • May struggle with complex multi-object interactions or extreme perspective shifts between frames
  • Fixed endpoints can reduce spontaneity compared to open-ended generation methods
  • Performance depends heavily on similarity and compatibility between start and end images

Why Choose This Model

  • Predictable Outcomes: Control both starting and ending frames for precise creative direction and client-ready results.
  • Narrative Precision: Ensure story continuity with defined visual bookends that match your exact vision.
  • Reduced Production Time: Eliminate trial-and-error generation by specifying exact endpoints from the start.
  • Complex Transition Handling: Execute difficult camera movements, morphing effects, or scene changes automatically.
  • Visual Consistency: Maintain character identity, lighting, and environment stability throughout the entire sequence.
  • Seamless Looping: Create perfect infinite loops by matching start and end frames for social media and digital displays.
  • Professional Control: Ideal for commercial projects requiring specific visual requirements and brand consistency.
  • Motion Naturalization: AI generates physically plausible, smooth movements between static poses or scenes.
  • Cost Efficiency: Reduce API costs with fewer generation attempts compared to random text-to-video sampling.
  • Creative Possibilities: Bridge impossible scenarios or fantastical transformations with logical visual progression.
  • Storyboard Automation: Convert static concept art or keyframes directly into dynamic, animated sequences.
  • Cinematic Quality: Achieve professional-grade camera movements and pacing without manual keyframe animation.

Alternatives on GenVR

  • Vidu Q3 Turbo
  • Pixverse V5.5
  • Vidu R2V

Pricing

Billed through GenVR credits

Credits40
Approx. INR₹40.00
Approx. USD$0.4280

Properties

Customizable parameters available for this model.

Required

promptstring

Text prompt for video generation, max 1500 characters

start_image_urlstring

URL of the image to use as the first frame

end_image_urlstring

URL of the image to use as the last frame

Optional

seed
integer

Random seed for generation

movement_amplitude
enumDefault: auto

The movement amplitude of objects in the frame

autosmallmedium+1 more
Model Info
CategoryVideo Generation

GenVR Visual App

Experience the power of Vidu SE2V through our intuitive visual interface. Experiment with prompts, adjust parameters in real-time, and download your results instantly.

Launch App

Developer API Docs

Integrate this model into your own applications. Access enterprise-grade performance, scalable infrastructure, and detailed documentation for rapid deployment.

Explore API

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