Gemini Omni Flash Video Generator

Create cinematic videos with Google's newly released Gemini Omni Flash model — multimodal input, conversational editing, polished output.

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Try Google's New Gemini Omni Video Model

Generate, edit, and remix videos from text, images, audio, and footage with the new Gemini Omni Flash release from Google.

Released May 19, 2026

What Is Gemini Omni Flash?

Gemini Omni Flash is Google's new video-first Omni model, announced by Google and Google DeepMind on May 19, 2026. It is the first model in the Gemini Omni family — built to create and edit video from any combination of text, image, audio, and source video.

Google's new video-first Omni model

Omni Flash is Google's next step toward models that can create and edit anything from any input, starting with video. It combines Gemini's reasoning with native generative media in a single model.

Multimodal input, conversational generation

Combine text prompts, reference images, audio, and source video in one request. Then keep editing through natural-language conversation, with characters and scene context preserved across turns.

Designed for cinematic output and iterative editing

Omni Flash outputs high-quality, high-resolution video with audio — built for cinematic shots, multi-turn refinement, and editing flows that go far beyond a single text-to-video render.

What Makes Gemini Omni Flash Different

Omni Flash is not another text-to-video toy. It is a multimodal, conversational video model with stronger world understanding and remix-grade editing built in from the start.

Multimodal input, one workflow

Reference any combination of image, text, video, and voice in a single prompt. Omni Flash blends them into one cohesive clip, so you do not have to stitch together separate generation and editing pipelines.

Conversational video editing

Edit through natural language, turn after turn. Change the environment, angle, style, or specific objects without losing the thread of your original scene — every instruction builds on the last.

Stronger scene consistency

Characters stay consistent, physics holds up, and the scene remembers what came before. Identity, motion, and voice are preserved across shots, which makes longer iterative edits feel coherent.

Better support for remix and transformation

Take footage you already have and ask Omni to change what is happening — swap action, add characters, restyle the world, or transform a moment into something you could not have filmed yourself.

What You Can Create With Gemini Omni Flash

From a single prompt or a stack of references, Omni Flash produces high-resolution video with audio — usable for cinematic output, explainers, social remix, and conversational editing of footage you already have.

Text to video

Describe a scene in plain language and generate a high-quality clip grounded in Gemini's world knowledge — physics, history, science, and cultural context — instead of pure visual pattern matching.

Image to video

Bring a still image, character sheet, or rough sketch to life. Omni Flash uses your reference to drive identity, style, and composition through the shot, so the output stays anchored to what you started with.

Video remix and transformation

Drop in source footage and rewrite the action with a sentence — change objects, swap environments, restyle motion, or turn a real moment into something stylized, surreal, or completely reimagined.

Audio-guided visual storytelling

Sync visuals to a voice reference, beat, or musical cue. Use audio to drive pacing, mood, and motion so the cut feels intentional — beyond what a text prompt alone can describe.

Why Try Gemini Omni Flash Now

Omni Flash is the first model in Google's new Omni family, available today through the Gemini app, Google Flow, and YouTube Shorts. It collapses the gap between idea and polished video.

Lower barrier to cinematic video creation

Google's most capable video model is now reachable from a single prompt. No camera, no edit suite, no specialist toolchain — just describe the shot and let Omni Flash render the cinematic version.

Original generation and editing in one model

Omni Flash both creates new clips and edits the ones you already have. Generation, remix, and refinement live inside the same conversational workflow, instead of being split across separate tools.

A simpler path from idea to polished output

Iterate in natural language until the shot is right. Omni Flash keeps characters, physics, and scene context aligned across turns, so each round of editing actually moves the cut forward.

How to Use Gemini Omni Flash

Three steps from idea to a polished, cinematic clip — powered by Google's newly released Omni Flash model and conversational, multi-turn editing.

Start with any combination of text, reference image, voice or music sample, and source footage. Omni Flash treats every input as part of one cohesive brief, so you can begin from whatever material you already have.

Gemini Omni Flash FAQ

When was Gemini Omni Flash released?

Google announced Gemini Omni Flash on May 19, 2026, alongside the broader Gemini Omni family. It is the first model in the Omni family and rolled out the same day to the Gemini app, Google Flow, and YouTube Shorts / YouTube Create — with API and enterprise access following in the weeks after launch.

What is Gemini Omni Flash?

Gemini Omni Flash is Google's new video-first Omni model. Google DeepMind describes it as a model that can create and edit anything from any input, starting with video. It combines Gemini's reasoning with native generative media to produce high-quality, high-resolution video with audio.

What inputs does Gemini Omni Flash support?

Omni Flash is natively multimodal. You can provide text prompts, reference images, audio, and video files — alone or in combination — in a single request. Voice references are supported for audio at launch, with additional audio input types rolling out over time.

Can Gemini Omni Flash edit video through prompts?

Yes. Conversational video editing is a core capability of Omni Flash. You can refine clips across multiple turns by changing the environment, angle, style, action, or specific objects, while the model keeps characters consistent and scene context intact across edits.

Is Gemini Omni Flash a Google model?

Yes. Gemini Omni Flash is a Google model, built by Google DeepMind as part of the Gemini Omni family. Every video produced with Omni Flash carries Google's invisible SynthID watermark and can be verified through the Gemini app, Gemini in Chrome, and Google Search.

What kinds of videos can it create?

Omni Flash supports text-to-video, image-to-video, video remix and transformation, and audio-guided visual storytelling. It is designed for cinematic output — including explainers, narrative scenes, character-driven shots, music videos, and creative remixes of footage you already have.

Create With Gemini Omni Flash Today

Try the new Google video model and turn your ideas into polished video faster. Generate, edit, and remix from text, images, audio, or source footage — all in one conversational workflow.

Gemini Omni Flash Video Generator - Omni Video