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Introducing Google Veo 3.1 Lite Start-End-to-Video on WaveSpeedAI

Define start and end frames, let AI generate the video transition between them. Google Veo 3.1 Lite Start-End-to-Video now on WaveSpeedAI with no cold starts.

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#veo3 #google #video-generation #start-end-to-video #announcement #model-release
Google Veo3.1 Lite Start End To Video Define start and end frames, let AI generate the video trans...
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Control Your Video’s Start and End With Veo 3.1 Lite on WaveSpeedAI

Most video generation models give you either text control or image control — but not precise control over where the video ends up. Google Veo 3.1 Lite Start-End-to-Video solves this by letting you define both the first frame and the last frame. The model generates the entire video transition between them, filling in natural motion, camera movement, and scene evolution.

This is a fundamentally different creative workflow: instead of hoping the model produces an ending you like, you define both endpoints and let AI handle the journey between them.

What is Veo 3.1 Lite Start-End-to-Video?

Start-End-to-Video is a video generation mode where you provide two images — a starting frame and an ending frame — along with an optional text prompt. The model generates a smooth, coherent video that transitions from the start image to the end image, creating natural in-between motion.

The Lite variant delivers this capability with faster inference and lower cost compared to full Veo 3.1, making it accessible for iterative creative workflows and production pipelines.

Key Features

  • Dual-Frame Control: Define exactly where the video starts and where it ends. No guessing about the final frame.

  • Smooth Interpolation: The model generates physically plausible motion between your two keyframes, not just a crossfade or morph.

  • Optional Text Guidance: Add a text prompt to influence how the transition happens — the path the camera takes, the motion style, environmental changes.

  • Consistent Subjects: Objects and people maintain their identity throughout the transition, avoiding the common morphing artifacts of generic interpolation.

  • Fast Lite Performance: Quick generation cycles let you experiment with different start/end combinations rapidly.

Real-World Use Cases

Storyboard-to-Motion

Provide two storyboard panels as start and end frames. The model generates the video transition between them, turning static storyboards into animated previews for pitch decks and pre-production reviews.

Product Transformation

Show a product in its initial state (unboxed) and final state (assembled/in use). Generate a smooth transformation video for product pages, unboxing content, or tutorial intros.

Before-and-After Content

Interior design, fitness, renovation, makeup — any domain with before-and-after content benefits from a smooth video transition rather than a static side-by-side comparison.

Scene Transitions

Film and video editors can generate creative transitions between two shots. Provide the last frame of one scene and the first frame of the next, and let the model create a seamless bridge.

Animation and Motion Design

Animators can define key poses as start and end frames, then use the model to generate the in-between frames — dramatically speeding up the animation pipeline.

Getting Started

import wavespeed

output = wavespeed.run(
    "google/veo3.1-lite/start-end-to-video",
    {
        "start_image": "https://example.com/start-frame.jpg",
        "end_image": "https://example.com/end-frame.jpg",
        "prompt": "Smooth camera pan from left to right as the scene transitions from day to night"
    },
)

print(output["outputs"][0])

Provide start image, end image, and an optional prompt describing the desired transition.

Pricing

As a Lite model, Start-End-to-Video costs significantly less per generation than full Veo 3.1. With WaveSpeedAI’s no-cold-start infrastructure, you can iterate quickly without worrying about startup delays or unpredictable costs.

Best Practices

  1. Use visually related frames: Start and end images should share enough visual context (same scene, same subject, similar perspective) for the model to generate plausible motion between them.

  2. Don’t make the gap too large: If the start and end frames are radically different (completely different scenes, subjects, or environments), the transition may look unnatural. Keep the visual distance reasonable.

  3. Use prompts to guide the path: The model can take many paths from A to B. Use the text prompt to specify how you want the transition to happen — slow zoom, fast cut, specific motion direction.

  4. Match image quality and style: If your start frame is a photo and your end frame is an illustration, the model may struggle with style consistency. Keep both frames in the same visual domain.

Conclusion

Veo 3.1 Lite Start-End-to-Video gives you precise control over video generation that other approaches can’t match. By defining both the starting and ending state, you eliminate the uncertainty of open-ended generation and get exactly the transition you need.

Define your endpoints and let AI fill in the rest. Try Veo 3.1 Lite Start-End-to-Video on WaveSpeedAI today and take control of your video generation workflow.

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