Introducing Google Veo3.1 Reference To Video on WaveSpeedAI

Introducing Google Veo 3.1 Reference-to-Video on WaveSpeedAI

The era of AI-powered video generation has reached a new milestone. We’re excited to announce the availability of Google Veo 3.1 Reference-to-Video on WaveSpeedAI—a groundbreaking model that transforms static images into cinematic video content while maintaining perfect subject consistency across every frame.

Built on Google DeepMind’s latest Veo 3.1 architecture, this model represents a significant leap forward in creative AI capabilities, enabling filmmakers, marketers, and content creators to bring their visual stories to life with unprecedented control and quality.

What is Google Veo 3.1 Reference-to-Video?

Google Veo 3.1 Reference-to-Video is a specialized image-to-video generation model that preserves a specific subject’s appearance and identity from provided reference images. Unlike traditional text-to-video models, this approach allows you to provide up to three reference images of a character, product, or scene, and the model will generate coherent video content that maintains visual consistency throughout.

The model emerged from Google’s announcement at Google I/O 2025, where CEO Sundar Pichai unveiled the Veo 3 family. As Google DeepMind CEO Demis Hassabis noted, this release marked the moment generative video “left the era of the silent film”—referencing the model’s ability to generate synchronized audio alongside visual content.

Key Features

Multi-Image Reference Support

Accept up to three reference images to define your subject, environment, or style
Maintain consistent identity, lighting, and appearance across all generated frames
Perfect for animating people, objects, or branded assets with reliable visual fidelity

Cinematic Video Generation

Produce 8-second motion clips at 720p or 1080p resolution
Dynamic camera movements including panning, zooming, and perspective shifts
Synchronized native audio generation for dialogue, ambient sounds, and sound effects

Superior Prompt Adherence

Interprets both text instructions and visual cues for precise motion storytelling
Automatically harmonizes character interactions, props, and background elements
Benchmark testing on MovieGenBench shows Veo 3.1 performs best on overall preference compared to competing models

Realistic Physics and Motion

Generates scenes that mirror real-world physics
Natural movements, gravity response, and lifelike interactions
Reduced artifacts and visual anomalies compared to earlier generation models

Real-World Use Cases

Brand Marketing and Advertising

Create compelling product videos by providing reference images of your product alongside a model or spokesperson. The model preserves both the product’s appearance and the presenter’s identity, enabling authentic UGC-style content at scale. Marketing teams can generate consistent brand ambassador content across multiple campaigns without additional photoshoots.

Storyboarding and Pre-visualization

Professional studios like Promise Studios are already using Veo 3.1 within their MUSE Platform for generative storyboarding. Directors can visualize complex scenes by providing character references and letting the AI generate motion sequences, dramatically accelerating the pre-production process.

Character-Driven Content Series

Maintain the same character appearance across multiple video generations—ideal for creating episodic content, animated series, or educational videos featuring consistent hosts or mascots. Your brand character can seamlessly appear in various environments while retaining their recognizable features.

E-commerce and Product Demonstrations

Transform static product photography into dynamic demonstrations. Show products in action, from multiple angles, or in various environments while maintaining perfect visual accuracy of the item being showcased.

Generate engaging short-form content with consistent personalities or brand elements. The reference-to-video capability ensures your visual identity remains intact across all generated assets.

Getting Started on WaveSpeedAI

Using Google Veo 3.1 Reference-to-Video on WaveSpeedAI is straightforward:

Upload your reference images — Provide up to three high-quality images (JPEG, PNG, or WEBP) that define your subject, object, or visual style. Use clear, well-lit images with similar styles and proportions for best results.
Write your prompt — Describe the action, setting, and camera motion you want. Be specific about movements, lighting, and mood. For example: “The woman in image 1 walks through a sunlit garden, camera slowly tracking her movement, warm afternoon lighting.”
Configure your settings — Choose between 720p or 1080p resolution. Optionally enable audio generation for synchronized sound. Add a negative prompt to exclude unwanted elements.
Generate — Click Run and receive your 8-second cinematic video.

Pricing:

8-second video at 720p or 1080p: $1.60 (without audio) or $3.20 (with audio)

All outputs are commercially licensed for your projects.

Why WaveSpeedAI?

Accessing cutting-edge models like Veo 3.1 through WaveSpeedAI provides distinct advantages:

No cold starts — Your requests process immediately without waiting for model initialization
Fast inference — Optimized infrastructure delivers results quickly, with 8-second clips generating in approximately one minute
Simple REST API — Integrate directly into your applications and workflows
Affordable pricing — Pay only for what you generate, with transparent per-request pricing
Commercial licensing — All generated content is cleared for commercial use

Best Practices for Optimal Results

To achieve the best output quality:

Use 2-3 high-quality reference images with consistent lighting and angles
Place your most identity-defining image first
Keep prompts concise but specific—include camera movement, action, lighting, and audio cues
Avoid overly complex scenarios with many characters or rapid movement
For character consistency, maintain the same outfit and styling across reference images
Enable audio generation for more immersive, polished results

Conclusion

Google Veo 3.1 Reference-to-Video represents the current state of the art in subject-consistent video generation. The ability to maintain character and product identity across generated frames opens new creative possibilities for professionals across industries—from advertising and entertainment to e-commerce and education.

Whether you’re building a content pipeline that requires visual consistency, creating marketing assets featuring your brand elements, or exploring new forms of AI-assisted storytelling, this model delivers the control and quality needed for production-ready output.

Ready to transform your static images into dynamic video content?

Try Google Veo 3.1 Reference-to-Video on WaveSpeedAI →