Realtime AI News
Google launches Gemini Omni Flash for video and Nano Banana 2 Lite for ultra-fast image generation
Google has opened up Gemini Omni Flash to developers via the Gemini API and Google AI Studio, combining multimodal reasoning with video generation and editing. It also released Nano Banana 2 Lite, an image model that generates 1K resolution images in about 4 seconds at half the cost of its predecessor.
Google has officially launched Gemini Omni Flash to developers through the Gemini API and Google AI Studio, as reported by QbitAI. First unveiled at Google I/O 2026, the model combines Gemini's multimodal reasoning capabilities with video generation and editing.
Gemini Omni Flash allows users to modify and refine videos using natural language, treating video content almost like a document. It leverages Gemini's world knowledge across history, biology, and narrative logic to build video content, reducing the need for complex prompting.
Alongside the video model, Google introduced Nano Banana 2 Lite (also called gemini-3.1-flash-lite-image), optimized for high-speed image generation. It produces a 1K image in about 4 seconds — five times faster than Nano Banana 2 — at roughly half the cost.
Google demonstrated a combined workflow: using Nano Banana 2 Lite to generate images rapidly, then feeding them as reference material to Gemini Omni Flash for video conversion. Three demo apps covered travel, interior design, and e-commerce product photography scenarios.
Current limitations include 10-second video length cap, no audio reference upload support, and restricted scene extension capabilities. Still, Google's multimodal push represents a significant step toward practical AI-powered content creation workflows.
Why it matters
Marks a major milestone in Google's multimodal AI productization, with the image-to-video workflow poised to directly empower e-commerce, interior design, and short-video industries.
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