The Veo 3.1, Google's new AI-powered video model, was launched alongside an important update to Flow, the interface that allows for visual scene creation and editing.

More than just an aesthetic leap, the Veo 3.1 represents an evolution of maturity: it offers real control for creators, from sound to framing. Below is a clear summary of the five most relevant improvements for those working with audiovisual content and wanting to understand what has really changed.

1. Enhanced visual realism

The most evident point is the realism of the images. The Veo 3.1 produces videos with a more natural texture and light behavior closer to reality, especially in materials like skin, fabrics, and reflective surfaces.

These adjustments do not make the output "perfect," but make it more consistent with the logic of the physical world, reducing perspective distortions and inconsistencies between frames. Check out some results from @ciguleva:

For art directors and motion designers, this means less retouching and more freedom to focus on the narrative.

2. Audio integrated into scenes

Another relevant change is the arrival of automatically generated audio. Now, features like Ingredients to Video, Frames to Video, and Extend can natively include sound effects, ambience, and rhythm.

In practice, this allows you to visualize (and hear) the mood of the scene before post-production. The audio is still experimental, but it already helps to understand narrative intentions, such as the sound of wind in an open scene or ambient noise in a café.

Regarding sound, user @EHuanglu states, "Now you can create ads with a single JSON prompt for ANY product... 1080p, multiple takes, narration, sound effects, music, everything included."

3. Narrative continuity between frames

With the Frames to Video feature, the user sets an initial image and a final image, and the Veo 3.1 creates the transition between them. The result is a smoother, more cinematic sequence, with a sense of passage of time or camera movement.

Here, @minchoi shared the result achieved with this functionality, creating a fictional commercial for Old Spice:

This tool is useful for those who want to build transitions, smooth cuts, and continuous camera movements without the need for multiple isolated prompts. It's an important step for those seeking consistency, one of the biggest challenges in creating video with AI.

4. Generative editing within Flow

The Veo 3.1 also expands control within Flow, which now includes editing functions like Insert and Remove. With them, it is possible to add or remove elements directly in the scene, and the system takes care of reconstructing the lighting and background coherently.

These tools make the Flow environment a space for continuous creation, where AI collaborates in refining the idea, not just in the initial generation.

5. Better prompt interpretation

The model is more faithful to textual and visual instructions. It understands environmental descriptions, framing, camera movement, and atmosphere with greater accuracy.

In practice, this means fewer attempts to achieve the desired result, an important difference for those who produce regularly. Adherence still depends on clarity in the prompt and well-chosen references, but the evolution is noticeable.

The Veo 3.1 demonstrates a more refined understanding of visual language, making AI a more predictable and usable tool in daily tasks.

User @fofrAI tested using the model to use a reference image and the report was: "The references of Veo 3.1 work wonders. They seem to capture more context than other models, which means you can induce things like this: > Create a movie scene based on this art."

Conclusion

The Veo 3.1 is a solid update that prioritizes control and consistency. It is not a revolutionary model, but a steady step towards a more practical and less experimental type of creation.

To wrap up, a video that combines Veo 3.1 + Midjourney, made in 1 hour by Tatiana Tsiguleva (@ciguleva):

For those working with audiovisuals, art direction, or digital content, these improvements represent more stable and functional tools, and an opportunity to incorporate AI into the workflow with purpose, not just curiosity.