Google Veo 3.1 and Flow: Native Audio, References, Camera Controls and Scene Extension

Google Flow is a filmmaking workspace that uses Google's generative models, while Veo 3.1 is the video-generation model. Veo handles generation and media controls; Flow provides a workspace for building and iterating on shots.

Google DeepMind documents native audio, reference images for characters and objects, style references, scene extension and camera controls in Veo 3.1. These controls can be tested separately when a production needs repeatable framing, character identity or continuation from an earlier shot.

Google documents reference-based controls, camera controls and scene-extension workflows around Veo. Those tools address recurring production problems such as keeping a subject recognizable, extending a sequence and changing framing without rebuilding every shot from zero.

Native audio adds dialogue, ambience and sound effects to the same generation pipeline. It also adds checks for speech timing, lip movement, unwanted sounds and rights around generated audio.

Google's public Veo page reports internal human-rater comparisons for Ingredients to Video, Scene Extension, First and Last Frame and Object Insertion. Those evaluations do not provide a universal error rate for every production prompt or a guarantee of continuity across a full project.

For each sequence, review character identity, object geometry, camera-instruction compliance, speech timing and unwanted audio. Record regeneration count so the production cost includes failed attempts rather than only selected outputs.

Use the same subject across several shots and record identity drift, object deformation, failed camera instructions, audio errors and the number of regenerations required.

That test gives a project-specific view of control and correction cost instead of relying on selected examples from a model page.