Video Generation and Editing with Gemini Omni Flash

ArticleGoogle AI for DevelopersResource

Google has documented the integration of Gemini Omni Flash (gemini-omni-1.1-flash) into the Gemini API. The multimodal model processes text, image, audio, and video simultaneously, enabling text-to-video and image-to-video generation with integrated sound.

Key points

  1. The gemini-omni-1.1-flash model powers text-to-video and image-to-video generation with accompanying audio.
  2. The Interactions API allows iterative conversational video editing through natural language prompts.
  3. Supported aspect ratios include 16:9 (default landscape) and 9:16 (portrait).
  4. Available resolutions range from 360p and 720p (default) to upscaled 1080p and 4k outputs.
  5. Integration is available via REST endpoints as well as official SDKs for Python, JavaScript, and Java.

Why it matters

Multimodal models are expanding traditional generative AI APIs into direct video and audio synthesis. The conversational Interactions API enables developers to automate video asset generation and refine visuals programmatically inside development pipelines.

Analysis

Google emphasizes native multimodality and conversational editing over static rendering. Generating audio alongside video in one pass, combined with parameterised aspect ratio and resolution controls up to 4K, simplifies the integration of programmatic video into applications.

Mentioned links

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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