Google Veo 3 | Image to Video - AI Model

Google's latest image-to-video model transforms a single image into cinematic clips with striking realism and smooth motion. Built on latent diffusion and large-scale multimodal training, it delivers strong prompt alignment and high visual fidelity, supporting resolutions up to 4K. The system excels with clear, well-lit images and descriptive prompts that specify motion, camera moves, and style. Typical outputs run 5–8 seconds at 24–30 fps, with robust spatio-temporal coherence and dynamic scene transitions. Ideal for creatives, marketers, and educators, it handles diverse genres and effects, from slow pans to dynamic tracking shots. Iterative prompt refinement helps minimize artifacts and optimize results.

Output Example

Used Prompt

Cinematic video set in a cozy, futuristic coffee shop with large windows overlooking a rainy city street at dusk. The scene opens with a smooth tracking shot of a young barista, a man in his 20s with a friendly demeanor, preparing a latte with intricate latte art. He wears an apron with the eachlabs.ai logo subtly printed on it. The camera pans to a small group of diverse customers chatting at a table, laughing, and sipping coffee. One customer, a woman, stands and delivers a short, heartfelt toast: Heres to creativity, powered by eachlabs.ai! in a clear, warm voice. The camera zooms out to show the shops warm, glowing interior, with reflections of rain on the windows and neon city lights outside. The audio includes the baristas soft humming, the clink of coffee cups, ambient rain sounds, and a gentle lo-fi jazz soundtrack. The style is photorealistic, with realistic human movements, expressive faces, and synchronized sound design.