Gemini Omni 1.1 Flash - Google's AI video generation model

What is Gemini Omni 1.1 Flash?

Gemini Omni 1.1 Flash is an AI video generation model launched by Google, targeting developers and professional creators. It supports multiple output levels, from 360p quick preview to 4K ultra-high definition. The model has fine-grained control capabilities such as scene continuation, first and last frame specification, and video reference. It can seamlessly extend existing footage to 40 seconds and maintain consistency between characters and scenes by introducing reference clips of up to 3 seconds. The model uses a per-second billing model, approximately 0.2 yuan/second for 360p and approximately 2 yuan/second for 4K.

Main functions of Gemini Omni 1.1 Flash

• Scene expansionIt can seamlessly continue from the end of an existing video, with each segment lasting 10 seconds, and a maximum cumulative length of 40 seconds per segment.
• Specify first and last framesGiven a start frame and an end frame, automatically generate smooth transitions and camera movements.
• 360p Quick PreviewThe generation speed is 60% faster than 720p, and the cost is only one-third, making it suitable for rapid iteration.
• 4K high resolution outputSupports direct output of 1080p or 4K resolution to meet professional production needs.
• Video ReferenceIt can import reference videos up to 3 seconds long to accurately maintain the consistency between scene background and characters.

Gemini Omni 1.1 Flash Technology Principles

• Long Context Video UnderstandingThe model extends the analyzable preceding video context from 1 second to 10 seconds, capturing dynamic details and narrative logic in the scene through longer temporal memory. It maintains consistency in character appearance, lighting environment, and camera movement during continuation writing, avoiding abrupt changes at the transition between segments.
• Multimodal input fusionThe system simultaneously processes three modalities: text prompts, static images, and video clips. It maps text semantics into visual instructions, defines keyframes for composition using images, and locks in character and scene styles using reference videos. Finally, it generates coherent temporal content in a unified latent space.
• Resolution adaptive generationIt adopts the same model architecture to support multiple output levels from 360p to 4K. In low-resolution mode, it enables quick drafting by reducing the number of latent space sampling steps, while in high-resolution mode, it enables enhanced upsampling and detail reconstruction, allowing creators to verify their ideas at low cost before outputting the final product.
• Maintaining timing consistencyBy introducing an external reference video as a conditional input, the model aligns the feature embedding of the reference frame with the current generated frame during the generation process. Combined with the self-attention calculation of the preceding 10 seconds of context, it suppresses temporal inconsistencies such as character deformation and background drift.

How to use Gemini Omni 1.1 Flash

• Obtain accessAccess Google AI Studio or the Gemini API, ensuring your account has the necessary permissions.
• Select target modelSelect from the model list gemini-omni-1.1-flash As the target model.
• Preparing to input materialsPrepare input materials according to your needs: plain text prompts, start/end images, reference videos (maximum 3 seconds) or existing video clips.
• Select generation mode: Directly generate new videos, or continue writing based on existing videos (requires input) previous_interaction_idAlternatively, specify the first and last frames to generate a transition.
• Set output resolutionFirst, use a 360p quick preview to verify your creative ideas. Once you are satisfied, switch to 720p, 1080p, or 4K to output the final product.
• Execution generationCall the API or click the generate button and wait for the model to return the video result.
• Export and subsequent editingDownload the final video file, or continue editing directly in integrated platforms such as Adobe Firefly and Runway.

The core advantages of Gemini Omni 1.1 Flash

• 4K Ultra HD OutputIt supports direct generation of 1080p and even 4K resolution videos, meeting professional film and television production standards.
• Seamless scene continuationIt generates content from the end of an existing video, incrementing by 10 seconds each time, with a single narrative potentially extending up to 40 seconds.
• Precise control of first and last framesSimply provide the start and end frames, and it will automatically generate smooth transitions and complex camera movements.
• 360p Rapid DraftPreview mode generation speed is increased by 60%, and the cost is only one-third of that of 720p, significantly reducing the overhead of iterative trial and error.
• Video reference consistencyBy importing a reference video of up to 3 seconds, the character's appearance and scene style can be accurately locked, avoiding generation drift.
• 10-second contextual understandingThe model can backtrack and analyze up to 10 seconds of previous footage (previously only 1 second), significantly enhancing narrative and visual coherence when continuing the story.
• Multimodal flexible inputIt also integrates text prompts, static images, and video clips, making creative instructions more expressive.

Project address for Gemini Omni 1.1 Flash

• Project official website：https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/

Comparison of Gemini Omni 1.1 Flash with similar competing products

Application Scenarios of Gemini Omni 1.1 Flash

• Film and television advertising and trailer productionUse 4K output and frame control to quickly generate high-quality commercial short films, brand advertisements, and movie trailers.
• Social media content creationLeverage 360p for quick previews and low-cost iterations to mass-produce short videos, animated covers, and viral content.
• Game and animation previews (Previz)Maintain character consistency through scene expansion and reference videos, and quickly generate storyboards and action previews.
• E-commerce product dynamic displayBased on the specified first and last frames of the product image, generate dynamic display videos with 360° rotation, close-up details, etc.
• Education and training videosUse video references to maintain consistency in the image of the lecturer or animated characters, and generate explanatory videos and courseware animations in batches.