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Veo 3.1 First-Last Frame-to-Video

It also supports video extension by generating logical continuations from existing footage, enabling longer sequences with consistent style and content.
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Veo 3.1 First-Last Frame-to-Video

Beyond frame interpolation, Veo 3.1 features native synchronized audio generation, producing realistic dialogue and environmental sounds automatically aligned with video content.

Overview

Veo 3.1 is an advanced AI-powered video generation model developed by Google, specializing in creating seamless video transitions between user-provided first and last frames. It enables users to input two images (a starting frame and an ending frame) and generates a smooth, coherent video that connects these points. This approach is ideal for creative video transitions and simulated time-lapse effects.

Technical Specifications

  • Input: Two images (start and end frames) or last ~1 second of video for extension.
  • Output: Seamless video clips with synchronized audio.
  • Maximum Continuation Length: Up to 1 minute or more via iterative extension.
  • Audio Capabilities: Voice synthesis with lip-sync, environmental sounds.
  • Model Architecture: Proprietary multi-modal neural network optimized for video and audio co-generation (specific architecture details not publicly disclosed).

Performance Benchmarks

  • Transition Quality: High frame-to-frame consistency with smooth motion interpolation.
  • Audio-Video Sync: Accurate lip-sync and sound timing verified in test scenes.
  • Continuation Realism: Maintains content coherence and stylistic continuity across extended segments.
  • Processing Time: Efficient generation suitable for near real-time workflows on high-end GPUs.

Key Features

  • First-Last Frame Control: Users specify initial and final frames to create a smooth transition video between them.
  • Native Audio Generation: Simultaneously produces synchronized soundtracks, including character dialogues with lip-sync and ambient noises.
  • Video Extension: Extends existing video clips by generating up to 8 seconds of follow-up footage logically continuing the scene; can iteratively produce videos up to or beyond 1 minute.

Use Cases

  • Creative video editing with artistic transitions.
  • Simulated time-lapse sequences from static images.
  • Automated dialogue scene generation for animation or storytelling.
  • Video clip extensions to enhance storytelling length without reshooting.

API Pricing

  • $0.21 / sec (audio off)
  • $0.42 / sec (audio on)

Code Sample

Comparison with Other Models

vs DAIN: Veo 3.1 adds native synchronized audio and full video extension capabilities, whereas DAIN focuses narrowly on visual depth-aware frame interpolation without audio or extension. Veo 3.1 excels in storytelling continuity and audio-visual realism.

vs Google Imagen Video: Imagen Video generates video from textual descriptions mainly focusing on creating scenes from scratch, while Veo 3.1 emphasizes frame-to-frame interpolation and video continuation with integrated audio, allowing precise control over start and end frames.

vs Runway Gen-2: Runway Gen-2 targets broader text-to-video generation with varied concepts, whereas Veo 3.1 specializes in specific frame-driven video transitions and extends clips with lip-synced audio, offering stronger cinematic continuity for narratives.

vs Sora 2: Sora 2 delivers ultra-realistic physics and momentary visual realism focusing on short scenes, demanding higher compute. Veo 3.1 prioritizes extended story flow and scene coherence with synchronized audio, ideal for ads, short films, and educational videos.

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