Gemini Omni AI Video Generator

Gemini Omni AI Video Generator

Gemini Omni Flash is Google’s new multimodal creation model for turning text, images, audio and videos into high-quality AI videos — then editing them through natural language, one instruction at a time.

  • Natural Language Video Editing: Edit scene, object, camera, motion, style and materials by simply describing the next change.
  • Text, Image, Audio & Video: Combine multiple references into one cohesive output instead of switching between separate AI tools.
  • Multi-turn Consistency: Each edit builds on the last, helping characters, physics and visual context stay coherent.
  • Knowledge-Grounded Storytelling: Create explainers and meaningful scenes using Gemini’s understanding of science, culture and history.
  • Accurate Motion & Materials: Generate effects involving gravity, kinetic energy, liquid ripples, lighting rhythm and reflective surfaces.
  • Avatar + SynthID Transparency: Personal avatar videos and AI-generated content transparency are supported through Google’s responsible AI stack.
  • Edit Videos Through Conversation: Official Gemini Omni examples show how a source video can be transformed through short natural-language prompts. The video components below are playable demo placeholders; replace the local MP4 files with official licensed assets when publishing.
  • Advanced Prompt Interpretation: Gemini Omni examples combine object transformation, recursive scene logic and synchronized action into one prompt.
  • Native Audio Scene Generation: Gemini Omni can use audio cues as part of the generation instruction, creating visual events synchronized to music or interaction.
  • World Knowledge & Physics: Gemini Omni is positioned as video generation grounded in Gemini’s real-world knowledge, including physical intuition and explainable concepts.
  1. Select Model: Choose Gemini Omni-style multimodal video generation from the AI video model area.
  2. Input Details: Add a prompt and optional references such as image, video or audio to guide the final clip.
  3. Generate Your Video: Preview the result, edit with natural language and export for social platforms.
Google I/O 2026 · Multimodal AI Video

Gemini Omni AI Video Generator

Gemini Omni Flash is Google’s new multimodal creation model for turning text, images, audio and videos into high-quality AI videos — then editing them through natural language, one instruction at a time.

Explore Use Cases

What Makes Gemini Omni Different

01 / Conversational creation

Natural Language Video Editing

Edit scene, object, camera, motion, style and materials by simply describing the next change.

02 / Any input

Text, Image, Audio & Video

Combine multiple references into one cohesive output instead of switching between separate AI tools.

03 / Scene memory

Multi-turn Consistency

Each edit builds on the last, helping characters, physics and visual context stay coherent.

04 / World knowledge

Knowledge-Grounded Storytelling

Create explainers and meaningful scenes using Gemini’s understanding of science, culture and history.

05 / Physics

Accurate Motion & Materials

Generate effects involving gravity, kinetic energy, liquid ripples, lighting rhythm and reflective surfaces.

06 / Responsible AI

Avatar + SynthID Transparency

Personal avatar videos and AI-generated content transparency are supported through Google’s responsible AI stack.

Edit Videos Through Conversation

Official Gemini Omni examples show how a source video can be transformed through short natural-language prompts. The video components below are playable demo placeholders; replace the local MP4 files with official licensed assets when publishing.

Prompt

Make the sculpture out of bubbles.

Output Video
Prompt

When the person touches the mirror, make the mirror ripple beautifully like liquid, and the person's arm turns into reflective mirror material.

Output Video

Advanced Prompt Interpretation

Gemini Omni examples combine object transformation, recursive scene logic and synchronized action into one prompt.

Prompt

Dim the lights in the room. Put a black and white checkerboard room inside a glass sphere that floats tracking above the hand, inside it contains a recursive representation of the same hand holding the sphere, creating an infinite recursive of rooms. Camera slowly gets closer into the sphere, creating a video loop.

Output Video

Native Audio Scene Generation

Gemini Omni can use audio cues as part of the generation instruction, creating visual events synchronized to music or interaction.

Prompt

The lights of the apartments start turning on in sync with the music.

Output Video
Prompt

Add harp sounds synchronized to when I touch each fern leaf. Change the leaf structure to all resemble semi translucent 3d bioluminescent plant life, with bioluminescent fireflies flying around it that react as I play.

Output Video

World Knowledge & Physics

Gemini Omni is positioned as video generation grounded in Gemini’s real-world knowledge, including physical intuition and explainable concepts.

Prompt

A marble rolling fast on a chain reaction style track, continuous smooth shot.

Output Video
Prompt

Claymation explainer of protein folding, everything is made out of clay, no hands, stop motion, accurate.

Output Video

Social-Ready Cinematic Content

Use Gemini Omni-style prompts for vertical social clips, creator avatars, explainers, remix videos and short promotional assets.

Prompt

Create videos with your own digital avatar so the generated clip looks and sounds like you. Use it for personalized announcements, social storytelling and short-form content.

Output Video

Gemini Omni vs Traditional AI Video Workflow

Gemini Omni’s landing-page narrative should highlight workflow compression: fewer separate tools, more multimodal references and easier natural-language iteration.

Dimension
Traditional Workflow
Gemini Omni Direction
Matric 1
Separate text-to-image, image-to-video, lip-sync and video-editing tools
One multimodal creation model family
Matric 2
Manual reference transfer between tools
Text, image, video and audio references in a cohesive flow
Matric 3
More consistency loss across each generation step
Conversational editing with scene memory
Matric 3
Harder prompt iteration for scene-level edits
Suitable for video generation, remix, explainers and avatar content

How To Use Gemini Omni on Collart

Step 1

Select Model

Choose Gemini Omni-style multimodal video generation from the AI video model area.

Step 2

Input Details

Add a prompt and optional references such as image, video or audio to guide the final clip.

Step 3

Generate Your Video

Preview the result, edit with natural language and export for social platforms.

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Frequently Asked Questions

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