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 generationmodel launched by Google, aimed at developers and professional creators, supporting multi-tier output from 360p fast previews to 4K ultra-high definition. The model offers fine-grained control capabilities such as scene continuation, first and last frame specification, and video reference. It can seamlessly extend existing footage up to 40 seconds and maintain character and scene consistency by introducing reference clips of up to 3 seconds. The model uses a per-second billing model, at approximately 0.2 yuan/second for 360p and approximately 2 yuan/second for 4K.

Main features of Gemini Omni 1.1 Flash

• Scene extension: seamlessly continue from the end of an existing video, 10 seconds at a time, up to a cumulative maximum of 40 seconds per clip.
• Specify first and last frames: given a start frame and an end frame, automatically generate smooth transitions and camera movement.
• 360p fast preview: generation speed is 60% faster than 720p, and the cost is only one third, making it suitable for rapid iteration.
• 4K high-resolution output: supports direct output at 1080p or 4K quality, meeting professional production needs.
• Video reference: can introduce a reference video of up to 3 seconds to precisely maintain consistency of the scene background and characters.

Technical principles of Gemini Omni 1.1 Flash

• Long-context video understanding: the model expands the analyzable preceding video context from 1 second to 10 seconds. Through longer temporal memory, it captures dynamic details and narrative logic in the footage, maintaining consistency of character appearance, lighting environment, and camera movement during continuation, and avoiding jumps at clip transitions.
• Multimodal input fusion: the system simultaneously processes three modalities: text prompts, still images, and video clips. It maps textual semantics into visual instructions, uses images to define keyframe composition, and uses reference videos to lock in character and scene style, ultimately generating coherent temporal content in a unified latent space.
• Resolution-adaptive generation: the same model architecture supports multi-tier output from 360p to 4K. In low-resolution mode, fast drafts are achieved by reducing the number of latent space sampling steps, while in high-resolution mode, enhanced upsampling and detail reconstruction are enabled, allowing creators to first validate ideas at low cost and then output the final film.
• Temporal consistency preservation: by introducing external reference videos as conditional input, the model aligns the feature embeddings of reference frames with the current generated frames during generation. Combined with self-attention computation over the preceding 10 seconds of context, it suppresses temporal inconsistency issues such as character deformation and background drift.

How to use Gemini Omni 1.1 Flash

• Obtain access permission: visit Google AI Studio or connect to the Gemini API, and ensure the account has call permissions.
• Select the target model: in the model list, select gemini-omni-1.1-flash as the target model.
• Prepare input materials: prepare input materials as needed: plain text prompts, start/end images, reference videos (up to 3 seconds), or existing video clips.
• Choose a generation mode: directly generate a new video, continue based on an existing video (requires passing in previous_interaction_id), or specify first and last frames to generate a transition.
• Set the output resolution: First use 360p for a quick preview to validate the idea, and after you're satisfied, switch to 720p, 1080p, or 4K to output the final video.
• Run generation: Call the API or click the generate button, and wait for the model to return the video result.
• Export and subsequent editing: Download the final video file, or continue editing directly in integrated platforms such as Adobe Firefly and Runway.

Core advantages of Gemini Omni 1.1 Flash

• 4K Ultra HD output: Supports direct generation of 1080p and even 4K resolution videos, meeting professional film and television production standards.
• Seamless scene continuation: Generates continuation from the ending of an existing video, advancing in 10-second steps each time, with a single narrative extending up to 40 seconds.
• Precise first and last frame control: Simply provide the starting frame and ending frame to automatically generate smooth transitions and complex camera movements.
• 360p ultra-fast draft: Preview mode generation speed is increased by 60%, and the cost is only one-third of 720p, greatly reducing iteration and trial-and-error overhead.
• Video reference consistency: Introduce a reference video of up to 3 seconds to precisely lock the character appearance and scene style, avoiding generation drift.
• 10-second long context understanding: The model can retrospectively analyze up to 10 seconds of preceding footage (previously only 1 second), significantly enhancing narrative and visual coherence during continuation.
• Flexible multimodal input: Simultaneously integrates text prompts, still images, and video clips, making the expression dimensions of creative instructions richer.

Project address of 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 competitors

Application scenarios of Gemini Omni 1.1 Flash

• Film and television advertising and trailer production: Use 4K output and first-and-last-frame control to quickly generate high-quality commercial short films, brand ads, and movie trailers.
• Social Media Content Creation: Leverage 360p fast previews for low-cost iteration, and mass-produce short videos, animated covers, and viral content.
• Game and Animation Previz: Maintain character consistency through scene extension and reference videos, and quickly generate storyboards and motion previews.
• E-commerce Product Motion Showcase: Based on product images, specify the first and last frames to generate dynamic showcase videos such as 360° rotations and detail close-ups.
• Education and Training Videos: Use video references to keep the appearance of instructors or animated characters consistent, and mass-generate explanatory videos and courseware animations.