Gemini Omni Flash — Google's Conversational AI Video Generator

Gemini Omni Flash is Google DeepMind's multimodal AI video generation and editing model that creates high-quality video from any combination of text, image, audio, and video inputs. Combines Gemini's real-world knowledge of physics, history, science, and cultural context with conversational video editing, letting creators generate, refine, and transform videos.

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Gemini Omni Flash Community Creations

Enter a text prompt, upload a reference image or video, describe your scene, and watch Gemini Omni Flash generate a coherent, grounded video with audio in a single pass.

Prompt:

A knight in full armor rides a white horse, sword raised, through a dramatic, motion-blurred landscape with fiery orange and dark, cloudy skies.

Prompt:

Dynamic shot of a motocross rider mid-air during a jump, with dirt flying and the sun backlighting the action, conveying speed and excitement.

Prompt:

Blue sports car driving on a snow-covered landscape with ice formations under a bright sun, creating tire tracks in the snow.

Prompt:

Man skateboarding downhill on mountain road with blurred motion, capturing freedom and adventure in scenic landscape.

Prompt:

A person hikes up a rocky mountain trail in foggy, overcast weather, wearing a backpack and warm outdoor gear.

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Edit Videos Through Conversation with Gemini Omni Flash

Gemini Omni Flash lets you edit video the way you would describe changes to another person. Each instruction builds on the last, so you can adjust lighting in one turn, swap the background in another, and refine a character's motion in a third, without re-describing the full scene every time. Characters stay consistent, physics hold up across edits, and the scene remembers what came before. You can upload your own video or edit directly from a generation.

Generate Video from Any Combination of Inputs

Gemini Omni Flash accepts text, images, video clips, and audio as simultaneous inputs and combines them into a single cohesive output. Reference an image for a character, a video clip for camera movement style, and an audio file for rhythm and beat simultaneously. The model blends all reference inputs rather than defaulting to one while ignoring the rest, giving creators a level of directorial control that goes beyond what a text-only prompt can specify.

Grounded in Real-World Knowledge and Physics

It draws on Gemini's understanding of physics, forces like gravity, kinetic energy, and fluid dynamics, alongside its knowledge of history, science, and cultural context. A marble rolling through a chain-reaction track behaves the way it should. A protein folding explainer in claymation stays scientifically accurate. The gap between photorealism and meaningful storytelling closes because the model understands both.

High-Speed Video Generation with Gemini Omni Flash

Gemini Omni Flash is Google's speed-optimized Omni model, built for fast video generation and low-latency conversational editing without removing multimodal input handling or physics-grounded output. It is designed for workflows where quick turnaround across generation and multi-turn editing matters as much as output quality.

The Features You Need In An AI Video Model

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Conversational Video Editing

Edit any video through plain-language instructions across multiple turns. Each change builds on the previous result without re-describing the full scene.

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Native Multimodal Input

Combine text, images, video clips, and audio references into a single generation. The model processes all input types simultaneously and blends them into one cohesive output.

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Physics and World Knowledge

Gemini Omni Flash understands gravity, fluid dynamics, kinetic energy, and cultural context, producing scenes that behave logically and carry meaningful narrative grounding.

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Text in Video

Prompt for readable, correctly placed text inside generated video frames, including signs, lower-thirds, title cards, and labelled items across rapid-fire sequences.

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Time-Coded Prompt Control

Specify when events happen using natural language or structured timecodes. Control scene cuts, character entrances, audio beats, and camera changes at precise moments.

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Two Aspect Ratios

Generate in 16:9 landscape for widescreen and cinematic content, or 9:16 portrait for TikTok, Instagram Reels, and YouTube Shorts

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Edit Your Own Videos

Upload existing footage via the Files API and apply conversational edits including style transformations, object additions or removals, and environment changes.

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Subject Reference

Upload reference images of specific characters, objects, or scenes, and the model incorporates them accurately into the generated video without making them literal starting frames.

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SynthID Watermarking

All videos generated with Gemini Omni Flash carry SynthID, Google DeepMind's invisible digital watermark, identifying AI-generated content without affecting visual quality.

How to Create AI Videos Using Gemini Omni Flash?

1

Enter Your Prompt or Upload Your References

Write a detailed scene description or upload any combination of images, video clips, and audio files as references. Use image tags to specify whether each upload is a starting frame or a visual reference. Include camera direction, lighting, mood, and timing details for the most precise output.

2

Choose Your Aspect Ratio and Settings

3

Generate, Edit, and Export

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Why Gemini Omni Flash Works Across Every Video Workflow

ImagineArt provides access to Seedance 2.0, Seedance 2.0 Mini, Kling 3.0, Hailuo 3.0, Veo 3.1, Grok Imagine 1.5 Video, Runway Gen 4.5, and more, letting you experiment with alternative models for faster, more cinematic, or more cost-effective results.

Ideal for Creative Directors and Filmmakers

Filmmakers can use reference images for characters, video clips for camera movement style, and audio files for rhythm, all combined in a single generation. Multi-turn conversational editing means directorial refinements happen through instruction rather than manual timeline adjustments. Time-coded prompt control gives frame-level precision over scene pacing and event timing without a separate editing tool.

Built for Brand and Marketing Teams

Marketing teams can generate product videos, campaign spots, and branded content by combining product images, style references, and campaign briefs into a single cohesive output. Edits like changing lighting, swapping backgrounds, or adjusting text on signage happen through a follow-up prompt rather than a round-trip to an editor. The model keeps visual consistency across all changes so the brand identity stays intact.

Perfect for Content Creators and Social Media

Social creators can generate portrait-format content at 9:16, apply motion effects to static images, transform an existing video clip into a new style, or build rapid-fire sequences with labelled items synced to audio, all from a single prompt. Conversational editing means the creative process stays fast and iterative rather than stopping at first output.

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Free

PKR0
per creator / month
billed annually
  • 3000 credits / month
  • In-house models only
  • 36k credits per year
  • 1 Fast Image concurrency
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Trusted by 30M+ creative team, designers and marketers.

User Reviews

See what our users are actually saying

Kevin T.
Social Media

The conversational editing is what got me. I generated a video and then just kept describing what I wanted to change, and each edit held the scene together perfectly. I never had to re-explain the original setup.

Zara M.
Social Media

I uploaded a reference image for my character and a video clip for the camera movement I wanted. The model combined both into exactly the kind of output I was imagining. That level of input control is something I have not seen in other models.

Priya R.
Social Media

I make rapid-fire educational content, and the time-coded prompting is a game changer. I can describe what happens at 3 seconds and what happens at 7 seconds in the same prompt, and it actually follows it.

Jordan Lee
Social Media

We used Gemini Omni Flash for a brand campaign where we needed to edit product signage and lighting across multiple variations. The edits were clean, fast, and consistent. No manual compositing needed.

Frequently Asked Questions

Get answers to every possible query you have related to Gemini Omni Flash.

Gemini Omni Flash is Google DeepMind's multimodal AI video generation and editing model that creates high-quality video from text, images, audio, and video inputs combined simultaneously. It supports conversational multi-turn video editing, time-coded scene control, readable in-video text, and grounded generation based on Gemini's real-world knowledge of physics, history, and cultural context.

After generating a video, you describe what you want to change in plain language as a follow-up prompt. The model applies your edit while preserving the elements you did not mention, keeping characters consistent, maintaining scene physics, and remembering the full context of prior turns. Each new instruction builds on the previous result without requiring a full scene re-description.

It accepts text prompts, images, video clips, and audio references as simultaneous inputs. You can tag images as starting frames or visual references, use video clips to define camera movement style, and include audio files to guide rhythm and timing in the generation.

Yes. You can upload existing video footage and apply conversational edits including style transformations, object additions or removals, lighting changes, and environment swaps. Note that editing uploaded videos is not currently available in the European Economic Area, Switzerland, and the United Kingdom.

Yes. The model generates an appropriate audio track alongside the video by default. You can direct the audio style through your prompt, specifying music genre, sound effects, dialogue, or requesting no audio at all. Audio references are supported via voice inputs to start, with broader audio input types planned.

The core distinction is conversational multi-turn editing grounded in Gemini's real-world knowledge. Most video models generate a clip and stop. Gemini Omni Flash lets you keep refining the same video through natural language instructions across multiple turns while the model maintains scene memory, physics accuracy, and character consistency throughout.

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Create Anything with Gemini Omni Flash

Generate and edit cinematic videos from text, images, and audio with Google DeepMind's multimodal AI video model.

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