Gemini Omni Flash AI Video Generator - Create Anything from Any Input
Gemini Omni Flash is the first model in Google DeepMind's Gemini Omni family, unveiled at Google I/O 2026. It is where Gemini's ability to reason meets the ability to create: combine text, images, and video as input, and Gemini Omni Flash generates high-quality videos with native speech, music, and sound effects, grounded in Gemini's real-world knowledge of physics, science, and culture. Every instruction builds on the last, so you can edit your video through conversation while characters, physics, and scenes stay consistent.
Use cases: Short Video Creation | Explainer Videos | Content Marketing | Creative Visual Effects | Social Media
Gemini Omni Flash Core Features
💬 Edit Your Videos Through Conversation
Gemini Omni Flash makes video editing as simple as describing what you want:
- Transform the World: Change specific details or the entire environment — turn a sculpture into bubbles, move a violinist to a new location, or restyle the whole scene
- Reimagine the Action: Change what's happening in a clip, add new characters or objects, or turn an ordinary moment into something unexpected
- Multi-Turn Refinement: Adjust the environment, camera angle, style, or specific details across multiple turns without losing the thread of your original scene
🧠 Grounded in Gemini's World Knowledge
Gemini Omni Flash doesn't just build scenes that look real — it reasons about what should happen next:
- More Accurate Physics: Improved intuitive understanding of gravity, kinetic energy, and fluid dynamics for more believable motion
- Knowledge + Creativity: Draws on Gemini's knowledge of history, science, and culture to connect language, imagery, and meaning beyond pattern matching
- Complex Ideas Made Visual: Generate compelling explainer videos from short prompts, breaking down complex concepts like protein folding into clear visuals
📎 Create from Any Combination of Inputs
Gemini Omni Flash turns multiple references into one cohesive video:
- Image References: Up to 10 images per prompt to define characters, scenes, drawings, or visual style
- Video References: Up to 3 video clips per prompt to guide motion, camera movement, or effects
- Text Prompts: Describe the scene, action, pacing, and mood in natural language
- Style & Motion Transfer: Apply the pose, motion, or visual language from one reference to another subject
🔊 Native Audio Generation
Video and sound are generated together in a single pass:
- Speech: Characters can speak lines that match the scene
- Music: Background music that follows the rhythm and mood of the visuals
- Sound Effects: Ambient and action sounds synchronized with on-screen events
🛡️ Built-In Content Transparency
- SynthID Watermark: Every video includes Google's imperceptible SynthID digital watermark
- C2PA Content Credentials: Supports industry-standard content provenance metadata
- Thinking Mode: The model reasons through complex prompts before generating, improving adherence on multi-step instructions
Gemini Omni Flash Specifications
| Item | Gemini Omni Flash |
|---|---|
| Developer | Google DeepMind |
| Model ID | gemini-omni-flash-preview |
| Input | Text, images (up to 10), video (up to 3) |
| Output | Video with native audio, text |
| Max Duration | 10 seconds per generation |
| Resolution | 720p |
| Aspect Ratio | 16:9, 9:16 |
| Audio | Speech, music, sound effects |
| Thinking | Supported |
| Content Credentials | SynthID + C2PA |
Gemini Omni Flash vs Seedance 2.0
| Feature | Gemini Omni Flash | Seedance 2.0 |
|---|---|---|
| Developer | Google DeepMind | ByteDance |
| Core Strength | Reasoning + world knowledge, conversational editing | Precise instruction following, reference control |
| Image Input | Up to 10 | Supported |
| Video Input | Up to 3 | Supported |
| Audio Reference Input | Not supported | Supported |
| Native Audio Output | Speech, music, sound effects | Supported |
| Max Duration | 10 seconds | 15 seconds |
| Resolution | 720p | Up to 720p |
| Best For | Explainers, creative effects, knowledge-driven stories | Ads, short films, multi-reference compositions |
Applicable Scenarios & Use Cases
🎓 Education & Explainer Content
- Science Explainers: Turn a short prompt into a claymation or animated explainer of complex topics
- Historical & Cultural Stories: Leverage Gemini's world knowledge to recreate eras, places, and cultural details accurately
- Product Tutorials: Visualize how things work with physically plausible motion
📱 Social Media & Marketing
- TikTok / Reels / Shorts: Native 9:16 vertical output with synchronized music and sound effects
- Creative Visual Effects: Transform everyday footage into surreal, eye-catching clips through simple instructions
- Ad Variations: Iterate on one scene across multiple conversational turns to produce different versions quickly
🎬 Creative & Professional Production
- Concept Visualization: Turn sketches and drawings into realistic footage using them as motion guides
- Style Exploration: Apply different visual styles to the same character or scene
- Storyboarding: Refine camera angles and scene details turn by turn before final production
How to Create Videos with Gemini Omni Flash
1. Access the Platform
Visit the AIGCVA App Center and select Gemini Omni Flash.
2. Prepare Your Inputs
- Text prompt: Describe the scene, subject, action, camera, and sound
- Reference images: Characters, environments, drawings, or style references (up to 10)
- Reference videos: Motion, camera movement, or effect references (up to 3, each up to 10 seconds)
3. Choose Video Settings
- Aspect Ratio: 16:9 for landscape or 9:16 for vertical
- Duration: Up to 10 seconds per generation
- Resolution: 720p
4. Generate & Refine Through Conversation
- Click Generate to create your first version
- Describe what to change in plain language — "change the camera angle to over the shoulder", "make the violin invisible"
- Each instruction builds on the previous result, keeping characters and scenes consistent
Gemini Omni Flash Best Practices
- Describe cause and effect: Gemini Omni Flash reasons about physics — describe what triggers what, such as "when the hand touches the mirror, it ripples like liquid"
- Name your references: Refer to inputs explicitly, such as "image_0" or "video_0", so the model knows which reference controls which element
- Specify sound: Mention the music style, sound effects, or dialogue you want to hear
- Iterate in small steps: Change one thing per turn for the most predictable results
- Use knowledge: Ask for historically, scientifically, or culturally specific content — this is where Gemini's knowledge shines
Gemini Omni Flash Prompt Examples
Physics-Driven Motion
A marble rolling fast on a chain reaction style track, continuous smooth shot.Knowledge-Based Explainer
Claymation explainer of protein folding, everything is made out of clay,
no hands, stop motion, accurate.Multi-Reference Creation
Dynamic sci-fi film style video based on image_0. Elements light up
similar to video_0, synchronized to an energetic electronic beat.Conversational Editing
Turn 1: A video of a violinist playing a song.
Turn 2: Transport the violinist to the environment in image_0.
Turn 3: Make the violin invisible.
Turn 4: Change the camera angle to be over the violinist's shoulder.Gemini Omni Flash FAQ
What is Gemini Omni Flash?
Gemini Omni Flash is the first model in Google DeepMind's Gemini Omni family, announced at Google I/O 2026. It is a natively multimodal model that combines Gemini's reasoning with video generation — you can mix text, images, and video as input and get a high-quality video with native audio, grounded in Gemini's real-world knowledge.
What inputs does Gemini Omni Flash support?
Gemini Omni Flash accepts text prompts, up to 10 images, and up to 3 video clips in a single prompt. Images can be PNG, JPEG, WebP, HEIC, or HEIF; videos can be MP4, MOV, WebM, and other common formats. Output is video plus an optional text response.
What video length, resolution, and aspect ratio does Gemini Omni Flash support?
Each generation produces up to 10 seconds of video at 720p, in either 16:9 landscape or 9:16 vertical format. You can extend your story by iterating on the result across multiple turns.
Can Gemini Omni Flash generate sound?
Yes. Gemini Omni Flash generates native audio together with the video, including speech, music, and sound effects, so you get a finished clip without a separate audio workflow.
How is Gemini Omni Flash different from Seedance 2.0?
Gemini Omni Flash focuses on reasoning-driven creation — it draws on Gemini's knowledge of physics, science, history, and culture, and lets you refine videos through natural-language conversation. Seedance 2.0 focuses on precise instruction following, audio references, and longer clips of up to 15 seconds. Choose based on whether you need knowledge-grounded storytelling or fine-grained reference control.
Is Gemini Omni Flash free to use on AIGCVA?
Gemini Omni Flash provides free usage quota on the AIGCVA platform. Registered users receive free generation credits, and high-frequency users can purchase VA Coins for additional quota.
Can videos generated with Gemini Omni Flash be used commercially?
Yes, videos generated through the AIGCVA platform support commercial use. All Gemini Omni outputs carry Google's imperceptible SynthID watermark and C2PA content credentials. Please refer to the platform's terms of service for specific commercial terms.
Gemini Omni Flash Technical Advantages Summary
- Reasoning Meets Creation: Gemini's intelligence drives what happens in every scene
- Conversational Editing: Refine videos turn by turn with natural language while keeping scenes consistent
- World Knowledge Grounding: More accurate physics and culturally and scientifically informed content
- Any-Input Creation: Combine up to 10 images and 3 videos with text in one prompt
- Native Audio: Speech, music, and sound effects generated together with the video
- Content Transparency: SynthID watermark and C2PA content credentials built in
- Free to Start: Try Google's latest video model on AIGCVA with free credits
Start Creating with Gemini Omni Flash
Experience Google DeepMind's first Omni model — create anything from any input: