Google Gemini Omni is multimodal AI video system that came out end of May at Google I/O 2026. Unlike older video models from Google, like Veo, Omni is a single "create anything from anything" system. That means it can make and edit videos using a mix of text, images, audio, and videos you already have.
Google released Gemini Omni Flash as its first Omni variant. The model focuses on fast conversational video creation inside the Gemini app ecosystem. Google says it moves AI video creation closer to interactive filmmaking and chat-based editing.
Google’s Omni project combines several AI systems into one workflow-ish setup. Earlier tools separated image creation with Imagen video creation with Veo and language reasoning with Gemini. Omni mixes these together so users can move between media types more smoothly.
Google showed the model at Google I/O 2026. It now connects with the Gemini app YouTube Shorts and Google Flow creative tools. Google DeepMind says Omni can take text prompts photos videos sketches and audio clips then turn them into short video outputs.
One of the bigger features is conversational editing. Users don’t need a normal timeline editor. They can type requests like “make the lighting warmer” or “replace the background” and Omni updates the video while keeping scene consistency. Early demos also showed more realistic motion cleaner text inside videos and steadier character continuity across shots.
Google DeepMind seems to place Omni next to parts of the Veo system and maybe as a future replacement for some Veo workflows. Earlier leaks suggested Omni already used Veo tech underneath but inside a more Gemini-focused setup.
The public rollout is still limited. Omni Flash currently makes short clips around 10 seconds long according to reports. Google says longer videos are planned later.
Core features include video generation from text uploaded images existing videos and mixed media prompts using text image video and audio together.
The editing system supports natural language scene changes remembers earlier edits and keeps continuity between shots.
Visual upgrades include stronger motion realism cleaner text rendering and better consistency across scenes.
Audio tools support synced sound effects voice generation and ambient audio.
Other tools include storyboard-style workflows social media templates and vertical video support for mobile apps.
Safety systems use Google SynthID watermarking and content tracking features.
Current reported specs show video length around 10 seconds with likely support up to 1080p resolution. The model supports both horizontal and vertical formats with native synced audio. Input types include text image video and audio. Editing works through a chat-based workflow.
Some details still aren’t official because Google hasn’t shared a full technical model card yet.
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