Gemini Omni — Google's AI World Model
Google DeepMind's most advanced multimodal model, capable of creating anything from any input — text, image, audio, or existing video. Gemini Omni Flash is the first model in the family, delivering next-generation AI video generation and conversational editing at scale.
Coming Soon to SeedDance
Google DeepMind's Most Capable Multimodal World Model
Unveiled at Google I/O 2026, Gemini Omni represents a fundamental shift in how AI models understand and create content. Unlike single-modality generators, Gemini Omni is a true world model — it ingests text, images, audio, drawings, and existing video simultaneously, then produces rich multimodal outputs with deep contextual understanding. Google DeepMind CEO Demis Hassabis described Omni as a fundamental shift from assistive productivity tools to an any-to-any multimodal model, capable of reasoning about the physical world and generating content that reflects accurate context — from historical events to real-world physics. The first released model, Gemini Omni Flash, is coming soon to SeedDance.
True Multimodal Input
Gemini Omni accepts any combination of text, images, audio clips, drawings, and existing video as input — giving creators unlimited flexibility to express their creative intent without rewriting prompts from scratch.
Conversational Video Editing
Omni supports stateful multi-turn editing. Creators can refine outputs conversationally — changing a background, adjusting lighting, or stabilizing a shot — all without restarting generation from the beginning.
Contextual World Understanding
Gemini Omni reasons about the world — understanding historical context, real-world physics, and scene semantics to produce videos that are not just visually coherent, but factually grounded.
SynthID Content Authentication
Every video created with Gemini Omni is embedded with Google's SynthID invisible watermark, enabling transparent identification of AI-generated content and supporting responsible creative workflows.
Why Gemini Omni Is a Leap Forward in AI Video
Gemini Omni is not simply a video generator — it is a general-purpose creative engine that understands multimodal context and enables iterative, conversational creation workflows previously impossible with AI.
Full Feature Set of Gemini Omni
A comprehensive multimodal creative platform for video generation, editing, and analysis — built on Google DeepMind's most advanced world model architecture.
Text-to-Video Generation
Describe any scene in natural language and Gemini Omni renders it into video. The model's world-level understanding produces outputs with accurate physics, natural lighting, and coherent temporal flow — far beyond simple prompt-to-clip models.
Image-to-Video Animation
Upload any reference image — a photograph, illustration, or AI-generated image — and Gemini Omni animates it into a video sequence. Reference images guide composition, style, and subject while Omni fills in motion, environment, and timing.
Audio-Guided Generation
Provide spoken descriptions, sound effects, or music clips as creative direction. Omni interprets audio context to generate visuals that match the tone, pacing, and content of the audio input.
Video-to-Video Transformation
Input an existing video clip as a reference and instruct Omni to transform it — changing style, environment, objects, or camera perspective — while preserving the core motion and structure of the original.
Multi-Turn Conversational Editing
Refine generated videos through natural conversation. Each instruction — change lighting, swap background, adjust character — is understood in context of the previous state, enabling professional-level iteration without prompt engineering expertise.
Video Element Replacement
Replace specific visual elements within a video — backgrounds, objects, textures, or characters — while preserving scene coherence and motion dynamics. Currently supports 10-second clip targets with plans to scale.
Contextual World Reasoning
Gemini Omni reasons about historical, cultural, and physical context. A prompt referencing a historical event generates visually accurate period details; physics-based scenes simulate real fluid dynamics, lighting, and spatial relationships.
SynthID Watermarking
All outputs include Google's invisible SynthID watermark — a cryptographic signature that identifies AI-generated content without affecting visual quality. Supports responsible AI content policies and compliance workflows.
Frequently Asked Questions
Everything you need to know about Gemini Omni and how it relates to AI video generation.
Explore AI Video Generation on SeedDance
While you explore Gemini Omni's capabilities, try SeedDance for high-quality AI video generation with Seedance, Veo, KLING, and more top models — all in one platform.