Google Omni Is Nano Banana for Video

Google Omni is here, and I got a few days of early access before Google I/O.
In this one, I test Google’s new Omni video model across text-to-video, image-to-video, video editing, style transfer, clip extension, avatar/cameo mode, lip-sync repair, camera-angle changes, POV shifts, and full location changes.

Google is pitching Omni as the next step after Nano Banana: a multimodal Gemini model that can create video from images, text, video, audio references, and natural language instructions. The interesting part is not just generation. It is conversational video editing, multi-turn refinement, consistent characters, scene memory, style changes, and using Gemini’s world knowledge to make complex ideas visual.

My early takeaway: Gemini Omni Flash is not really a Seedance killer yet. If anything, it feels more like the start of Nano Banana for video — less about one perfect text-to-video clip, and more about using AI to remix, repair, restyle, extend, and reimagine video through conversation.

It is early. It is definitely not perfect. But if Omni develops the way Nano Banana did for image generation and editing, this could become a much bigger deal than a normal AI video model launch.

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00:00 Google Omni is here
00:36 Not a Seedance killer
01:02 Nano Banana for video
01:26 Early access limits
01:42 Text-to-video benchmark
02:34 More text and avatar testing
03:26 Explainer videos and context
04:23 Restyling and extending clips
05:21 Image-to-video tests
06:27 Where image-to-video still breaks
07:40 Video editing gets interesting
08:24 Fixing lip-sync drift
09:23 Changing camera angles
10:13 Rebuilding a scene from another POV
11:37 Making the bear the main character
12:12 Changing the entire location
12:43 Final verdict on Omni
13:11 Cameo mode and what’s next

Видео Google Omni Is Nano Banana for Video канала Theoretically Media