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Gemini Omni is a multimodal AI video generator and editor that creates and modifies videos through natural-language conversation using text, images, video, and audio references.

About Gemini Omni

Gemini Omni is a conversational creative studio for generating, directing, and editing videos from multimodal inputs. It is designed to let creators describe a scene or requested change in natural language instead of working through conventional timeline-based editing.

What it does

Generates creative videos from text prompts and reference assets, including images, video, and audio.

  • Combines multiple input types into a cohesive video output.
  • Lets users modify videos conversationally, such as requesting a background change, camera adjustment, or different character action.
  • Creates remixed variations of existing videos from text prompts.
Key features
  • Text-to-video generation with prompts for scene descriptions, camera motion, and dynamic actions.
  • Multi-image fusion and support for image, text, video, and audio references.
  • Chat-based video editing and remixing without requiring complex timeline editing.
  • Character and scene consistency across shots, according to the site.
  • Native synchronized audio generation, including dialogue, background music, ambience, and action sound effects, according to the site.
  • Gemini Omni 1.1 Flash is presented with 10-second deep context, 40-second continuous scene extension, 360p fast drafts, and start and end keyframes. What makes it different Gemini Omni centers the video-creation workflow on natural conversation: users can direct and revise content by describing the desired result. The site also positions its multimodal reference handling as a way to work from combinations of text, images, video, and audio rather than a single prompt type.

Use Cases

  • 1.Generate a video from a written scene description and reference images.
  • 2.Revise an existing video by requesting changes to backgrounds, camera angles, or character actions in chat.
  • 3.Create video variations from existing footage using text-based remix prompts.

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