Gemini Omni

What It Does

Gemini Omni is Google DeepMind's advanced AI video generation model that accepts text, images, video, and audio as input and produces high-quality video as output. Unlike traditional video generators that require regeneration from scratch, Gemini Omni remembers the full scene between edits and allows conversational, iterative refinement shot by shot.

Who It's For

Gemini Omni serves marketers, e-commerce teams, social media creators, educators, and content producers who need video without camera crews or production timelines. It's built for anyone who needs to move from concept to draft quickly — testing ad concepts, visualizing product demos, creating viral-ready social content, or illustrating educational scenarios that are hard to explain with static images.

Key Features & Capabilities

• Native Multimodal Input: Combine character photos, background images, style references, and text prompts in a single generation
• Conversational Video Editing: Edit generated videos through follow-up instructions without starting over — swap backgrounds, adjust camera angles, change outfits
• Character Consistency: Upload a portrait reference and maintain the same face, hairstyle, and appearance across different scenes and actions
• Physics and World Simulation: Realistic motion and interactions grounded in real-world physics
• Sketch-to-Video Generation: Turn rough sketches into fully realized video scenes
• AI Avatar Generation: Create videos featuring custom avatars from reference images
• Multiple Export Options: Support for various aspect ratios, resolutions (up to 4K), and durations (up to 40 seconds with scene extension)
• First and Last Frame Control: Precise control over scene entry and exit points

Typical Workflows

Users start by writing a text prompt or uploading reference materials (photos, sketches, or existing video clips). After selecting settings like aspect ratio, resolution, and duration, Gemini Omni generates the initial video. The conversational editing feature then allows users to refine specific elements — changing locations, adjusting lighting, modifying character details — while keeping the rest of the scene intact. When satisfied, users can download watermark-free exports ready for commercial use.

What Differentiates It

Gemini Omni 1.1 Flash (released August 2026) is the successor to Veo in the Gemini app and represents a unified model that handles multiple modalities in one system. Unlike Sora or Runway, which require complete regeneration for changes, Gemini Omni's conversational editing keeps the scene loaded between edits. This iterative approach dramatically reduces iteration time and enables precise creative control without sacrificing the entire generation when only one element needs adjustment.