Multimodal video generation
Generate high-quality, high-resolution video from text, images, audio, or video inputs, with the model card describing support for multiple input types and video output with audio.
Gemini Omni
Gemini Omni is Google DeepMind’s model for creating and editing video from text, images, audio, or video. It is designed for conversational, multimodal workflows in Gemini and Google Flow.
Overview
Gemini Omni is Google DeepMind’s model for creating and editing video from many kinds of input. The product page positions it as a way to “create anything from anything,” starting with video, and the model card describes it as a next step for generating and editing media from text, images, audio, and video.
The product is built around conversational editing and multimodal creation. Its examples show users changing scenes, reimagining actions, and combining references into a single output, while the model card says it produces high-quality, high-resolution video with audio and supports use through Gemini App and Google Flow.
Capabilities
Conversation-based editing
Edit videos through natural conversation, so each new instruction can build on the previous one instead of requiring a reset after every change.
Transform existing footage
Adjust the aesthetic, action, or effect in an input video using prompts such as material changes, style shifts, or scene transformations.
Reference-driven creation
Combine different references into a single cohesive output, using image, text, video, or audio as starting points.
World-aware scene generation
Apply broad world knowledge and physics understanding to support scenes that feel grounded as well as stylized or surreal.
Available in Google surfaces
Use the same model through Gemini or Google Flow, as shown on the product and model pages.
Use Cases
Generate new video concepts
Start with a prompt and produce video content from scratch, using the model’s support for high-quality generation from text or other references.
Edit footage through conversation
Iterate on an existing video by asking for step-by-step edits, with each turn refining the same scene instead of replacing it entirely.
Reimagine visual style and action
Transform a clip’s style or effect, such as changing materials, turning a person into a different visual form, or shifting the entire environment into another medium.
Merge multiple references
Combine several references, such as text, images, audio, and video, into one output when a project needs a cohesive result from mixed source material.
Work inside Google surfaces
Use the model in Gemini or Google Flow when the workflow benefits from Google’s hosted surfaces rather than a standalone local tool.
Pros and Cons
Pros
- Supports multiple input types, including text, images, audio, and video.
- Lets users edit through natural conversation rather than rebuilding a scene from scratch.
- Can keep changes building on earlier instructions across multiple turns.
- Aims to combine Gemini’s reasoning with generative media capabilities for more grounded outputs.
- Available through more than one Google surface, including Gemini App and Google Flow.
Cons
- The model card says complete consistency across edits is still a challenge.
- Scenes with complex motion are also called out as difficult.
- Perfectly accurate text rendering remains a limitation.
FAQ
What is Gemini Omni used for?
Gemini Omni is described as a model for creating and editing video from text, images, audio, or video inputs. It can be used in Gemini and Google Flow, depending on the workflow shown on the product pages.
Where can I try Gemini Omni?
The source materials show Gemini Omni available through Gemini App and Google Flow. The model card says it is distributed in those channels, and the product page includes links to try it in Gemini and Google Flow.
What does Gemini Omni output?
The model card states that Gemini Omni Flash outputs high-quality, high-resolution video with audio. The product page also emphasizes conversation-based editing and turning references into a single cohesive result.
What are the main limitations of Gemini Omni?
The model card notes that maintaining complete consistency throughout edits, handling scenes with complex motion, and rendering perfectly accurate text remain challenges.
Is Gemini Omni separately priced?
The pricing page does not provide product-specific pricing for Gemini Omni. It only shows Gemini Omni as part of Google DeepMind's broader model lineup.
Quick Facts
- Category
- AI video generation and editing
- Product family
- Gemini
- Inputs
- Text, images, audio, and video
- Outputs
- High-quality video with audio
- Access surfaces
- Gemini App and Google Flow
- Source domain
- deepmind.google
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