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Gemini Omni is Google DeepMind's video model built to create anything from any input, starting with video. It lets creators edit and transform clips through natural conversation, combine reference images or videos, and apply Gemini's real-world understanding to keep motion, people, objects, and scenes coherent.
Gemini Omni is a conversational AI video model from Google DeepMind. The official launch positions it as a system that can create anything from any input, beginning with video editing and video generation workflows.
Instead of treating editing as a list of isolated tools, Gemini Omni follows natural-language instructions across turns. You can ask for changes to characters, backgrounds, camera feel, style, time of day, props, or scene details while preserving the broader context of the clip.
Gemini Omni is designed around multimodal references and Gemini's real-world knowledge, so creators can guide edits with images, videos, or text and produce coherent video transformations for storytelling, marketing, education, and creative production.
Gemini Omni is built for editing, transforming, and generating motion-based content from multimodal input, with conversational control over shots, actions, and scenes.
Describe changes in plain language and keep refining across turns, from broad style direction to precise scene edits.
Use text, images, and video references to guide characters, objects, locations, product details, styles, and scene continuity.
Gemini's understanding of the world helps the model make more grounded choices for objects, environments, physics, and context.
Make complex transformations while preserving identity, motion, lighting, composition, and narrative continuity across the clip.
Move quickly from rough concept to multiple video directions for campaign pitches, product storytelling, social clips, and creative storyboards.
Think of Gemini Omni as a conversational video editor: provide the clip or reference, describe the change, review the result, then refine in follow-up prompts.
Bring a source clip, image, or written prompt. Gemini Omni is designed to understand multimodal input and use it as creative context.
Tell the model what should change, what should stay consistent, and how the final video should feel.
Use follow-up prompts to adjust details, tighten the style, correct specific areas, or create alternate versions.
State clearly what should change and what must remain unchanged
Use reference images or clips when identity, product details, or style consistency matters
Describe camera movement, lighting, duration, and pacing in concrete terms
Ask for one major edit at a time when precision matters
Use follow-up prompts to refine small areas instead of rewriting the whole request
Include brand, audience, aspect ratio, and platform requirements when preparing production content
Gemini Omni creates and edits video from any input through natural conversation, while preserving motion, scene context, and narrative continuity across iterative changes.
Gemini Omni can edit and transform video using text instructions, references, and Gemini's real-world knowledge, with a focus on coherent motion and scene continuity.
Yes. The official positioning emphasizes creating from any input, so text, images, and videos can guide the result depending on the workflow.
It is designed for conversational editing, letting creators refine a video over multiple turns rather than relying only on fixed timeline controls or single-shot prompts.
Yes. Its reference-driven editing and real-world understanding make it useful for product visuals, campaign variations, explainers, social clips, and branded storytelling.
Gemini Omni points toward conversational video creation where prompts, references, and real-world knowledge work together in one workflow.
Use this page to explore Gemini Omni-style video editing ideas and start producing coherent AI video transformations from prompts, images, and clips.
Gemini Omni is a conversational AI video model for creating and editing video from any input