Google has expanded Gemini Omni into Google Vids for end-to-end AI video generation and editing. The update lets users create clips from text and image references, then make targeted changes to existing footage through a step-by-step conversation. Rather than rebuilding a video after each revision, users can describe an adjustment, supply additional media where useful and refine the result in place.
The central development is Omni's use of multimodal and real-world understanding in a Vids workflow. According to Google DeepMind's Gemini Omni overview, the model can work from arbitrary media, including images, text, video and audio, and apply reference-to-video capabilities grounded in world knowledge and physics-like reasoning. In Google Vids, that foundation is intended to make generated and edited scenes more coherent in composition, context and visual behavior.
For teams that already use Vids to communicate ideas, training material or internal updates, the change moves AI assistance beyond first-draft generation. It introduces a conversational editing layer that can alter a chosen part of a video while preserving the broader scene and workflow.
What Gemini Omni changes in Google Vids
