Gemini Omni Flash: Any-to-Any AI Video Generator
Gemini Omni Flash is Google's multimodal AI model that creates and edits video from any input type — text, images, audio, or video — with native synchronized audio.
Text, image, audio, or video input — all produce video with synchronized audio.
Simulates gravity, fluid dynamics, and kinetic energy for realistic movement.
Edit videos through natural language — describe changes and they happen.
- Any input type: text, image, audio, video
- Native synchronized audio generation
- Physics-aware motion and conversational editing
- Lite, Fast, and Quality generation modes
- Optimized for high-quality video output
- Cost-effective for standard video generation
Gemini Omni Flash: Any-to-Any AI Video Generator
What is Gemini Omni Flash?
Gemini Omni Flash is Google's multimodal AI model announced at I/O 2025. It generates high-quality video with synchronized audio from any combination of inputs — text prompts, images, audio files, or existing video clips. The model simulates real-world physics and supports conversational video editing.
Unlike traditional AI video tools limited to text or image input, Gemini Omni Flash accepts text, images, audio, and video simultaneously.
Audio is generated alongside video — footsteps match movement, speech syncs to lips, ambient sound matches the scene.
Refine generated videos through natural language instructions rather than re-prompting from scratch.
Gemini Omni Flash video examples
Videos generated using Gemini Omni Flash across different input types and styles.
Cinematic action scene
Text-to-video: dramatic camera movement with atmospheric effects and synchronized audio.
Why choose Gemini Omni Flash
Any-to-any input
The only model that accepts text, image, audio, and video as input simultaneously.
Native audio sync
Audio is generated alongside video — no separate audio workflow or post-production step.
Conversational editing
Refine videos through natural language instead of re-prompting from scratch.
Physics simulation
Realistic gravity, fluid dynamics, and kinetic energy in generated motion.
What Gemini Omni Flash can do
Text to Video
Describe any scene and generate cinematic video with matching audio. Up to 20,000 character prompts.
Image to Video
Upload images (JPEG, PNG, WebP up to 10MB) and animate them with motion and sound.
Audio to Video
Provide audio input and generate matching visuals — a unique capability among AI video models.
Video Remix
Upload existing video and edit through conversation — change style, pacing, or content.
4K Resolution
Generate at 720p, 1080p, or 4K with 16:9 or 9:16 aspect ratios.
Synchronized Audio
Native audio generation tied to visual content — no separate audio workflow needed.
Gemini Omni Flash specs
- Input types
- Text, Image, Audio, Video
- Max prompt length
- 20,000 characters
- Image input
- JPEG, PNG, WebP (up to 10MB)
- Resolution
- 720p, 1080p, 4K
- Duration
- 4, 6, 8, or 10 seconds
- Aspect ratio
- 16:9, 9:16
- Audio
- Native synchronized generation
- Output format
- MP4
- Physics
- Gravity, fluid dynamics, kinetic energy
- Editing
- Conversational (natural language)
Generate video with Gemini Omni Flash
Choose your input type
Select text-to-video, image-to-video, or provide audio/video input.
Write your prompt
Describe the scene, style, camera movement, and audio you want.
Set parameters
Choose resolution (720p/1080p/4K), duration (4-10s), and aspect ratio.
Generate and refine
Generate your video, then use conversational editing to refine it.
Who uses Gemini Omni Flash
Content creators
Generate social media videos, YouTube Shorts, and TikTok content from text prompts or reference images.
Marketing teams
Create product videos, ad creatives, and campaign assets without a production team.
Musicians and podcasters
Turn audio tracks into matching music videos or visual content using audio-to-video.
Filmmakers
Prototype scenes, generate B-roll, and iterate on visual concepts before production.
Gemini Omni Flash FAQ
Try Gemini Omni Flash now
Generate AI video from text, image, audio, or video input. Review credits before running.