Google VEO 3.1

Veo 3.1 is a large-scale diffusion-based video model trained on diverse real-world and cinematic footage. It supports high-resolution outputs with stable temporal coherence and accurate spatial reasoning. The model can interpret complex prompts involving environment, action, camera direction, and mood, and generate multi-shot sequences with consistent characters, lighting, and perspective. It is optimized for longer, story-driven clips compared to short micro-animations.

The model parses a prompt into scene layout, subject motion, and camera choreography, then generates a sequence of frames that evolve smoothly over time. It maintains continuity in character appearance, object placement, and lighting across frames, enabling realistic transitions and cinematic flow. This allows Veo 3.1 to produce videos that feel directed rather than purely generated.

Write prompts like a short screenplay: describe the setting, time of day, lighting, camera movement, and the action happening in the scene. Break complex stories into smaller shots rather than a single long description. Mention lens style, depth of field, and motion pacing (slow motion, steady cam, tracking shot) to get more film-like results.

Veo 3.1 is computationally intensive and may have longer generation times. Extremely long or highly detailed multi-character scenes can sometimes introduce minor inconsistencies. It performs best for realistic and cinematic styles and is less suited for abstract animation or simple motion loops where lighter models may be more efficient.