The Veo model is Google Cloud’s state-of-the-art generative video system, accessible through Vertex AI, built for creators and filmmakers who want more than simple text prompts. The latest version, Veo 3.1, delivers cinematic quality video with rich, synchronized audio. It’s designed for realism, physics accuracy, and sticking closely to the creative brief.
Veo turns text-to-video into real filmmaking using tools that let you control narrative direction and visual consistency. You can use Veo inside Vertex AI Studio or programmatically via the GenAI SDK using generate_videos.
Key capabilities include:
Interpolation using first and last frames. You can define the opening and ending moments of a shot or scene using two images. Veo fills in the motion between them and creates a seamless clip. This is useful for transitions, complex motion arcs, or scenes that need to land precisely on a specific frame. It is currently state-of-the-art in prompt alignment and visual quality.
Scene extension. You can continue an existing video clip while preserving the look, characters, and motion from the original. Veo blends the new segment onto the old and follows the new text direction. This is also state-of-the-art for realism and consistency.
Image guidance. Instead of long descriptions, you can drop in reference images to lock in subjects, characters, or style. Subject guidance ensures the same character or asset appears consistently across shots. Style guidance applies consistent visual style, although style guidance requires the veo-2.0-generate-exp model, because Veo 3.1 does not support referenceImages.style.
Inpainting and outpainting. Veo can remove or add objects within a video and can extend a shot beyond its original borders. This currently uses the Veo 2 model and does not generate audio.
Veo 3.1 produces high fidelity 720p and 1080p clips in 16:9 or 9:16, with durations of 4, 6, or 8 seconds. A major upgrade is its audio generation: Veo can create a full soundtrack with synced dialogue, sound effects, and ambient audio cues.
For best results, prompting follows a simple formula: Cinematography + Subject + Action + Context + Style and Ambiance. You can direct scenes with filmmaking language such as crane shots, slow push-ins, wide establishing frames, or shallow depth of field. You can also use timestamp prompting to orchestrate multi-shot sequences within a single generation.
Combining models makes Veo even more flexible. Gemini 2.5 Flash Image (Nano Banana) can generate the opening and ending frames for transitions or create consistent character ingredients for dialogue scenes. These can be fed directly into Veo to lock identity and style.
Responsible AI is core to how Veo ships. All Veo videos include SynthID watermarking. The model has undergone extensive safety and bias testing, including red teaming against adversarial misuse. Evaluations show a tendency toward lighter skin tones in professional depictions when race is not specified, a common risk across generative media systems. In sensitive domains like CBRNE, Veo tends to produce unrealistic or obviously incorrect outputs, limiting dangerous use.
Veo ultimately acts like a cinematographer and sound designer working together. Instead of generating one-shot clips, you can lay out camera movement, action, context, and audio direction in a single script and let the system build the entire moment.
To learn how Imbila can help you use AI tools like Veo inside your creative or business workflows, visit www.imbila.ai http://www.imbila.ai/services
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