Gemini Omni Flash is the first model in Google’s Gemini Omni family, designed to create and edit video from different kinds of input. Built with Gemini’s multimodal reasoning, it can use text, images, video, and audio references to help transform existing footage, generate new scenes, and create more context-aware visual results.
Basic Voice
Input description
Textarea description
Input description
Input description
Drag, paste, or click to upload
JPEG · PNG · WEBP · up to 20MB · max 1 files
Upload an image file to use as input for the API
Character Description
Describe the image you want to generate.
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JPEG · PNG · WEBP · JPG · up to 10MB · max 7 files
Upload an image file to use as input for the API
Note: when video input is provided, the output duration is determined by the model automatically. This duration parameter will not take effect.
Audio ID list. Up to 3 ID is allowed.
Video ratio
Character ID list. Each character ID uses 1 image slot. Available character slots: 3/7. Remaining image slots: 5/7.
Output video resolution. Valid values: 720P(default), 1080P, 4k.
Optional video input. Only 1 video is allowed and it uses 2 image slots.
Random seed. Range: [0, 2147483647]. If not specified, the system generates a seed automatically. Fixing the seed can improve reproducibility, but results may still vary due to the model’s stochasticity.
Explore different use cases and parameter configurations
Build video generation and editing features with Google Gemini Omni Flash API on EMix.ai, powered by any-input creation, natural language direction, and reference-guided video results.
Google Gemini Omni Flash is the first model in the Gemini Omni family, designed to bring Gemini’s reasoning ability into video creation from different kinds of input. It can use text, images, video, and audio references to generate or edit coherent video results, making the creative process less dependent on a single written prompt. With natural language direction, users can start from existing materials, transform scenes, adjust specific details, and refine the result across multiple turns while keeping the broader context of the video intact. This makes the model especially relevant for multimodal video creation, reference-guided editing, visual explainers, and creative tools that need stronger scene understanding. On EMix.ai, Gemini Omni Flash API makes this model capability available for developers who want to build any-input video generation and editing features into their own products.
Gemini Omni Flash API gives video editing a more natural instruction-based process. Users can describe the change they want in plain language, such as modifying the environment, changing the action, adding an effect, or adjusting specific visual details. This makes Gemini Omni Flash API useful for applications where existing video content needs to become easier to transform and control.
Existing footage can become the creative starting point for Google Gemini Omni Flash API. A source video may be transformed into a different visual world, a new action sequence, or a more expressive scene while still keeping the original clip connected to the final result. This helps video tools support creative edits that go beyond basic filters or simple style changes.
Gemini Omni Flash API is designed for video creation from multiple input types, including text, images, video, and audio references. Text can define the creative direction, images can guide visual appearance, video can provide scene context, and audio references can help shape rhythm or atmosphere. For exact supported inputs, file requirements, request parameters, and generation settings, check the latest EMix.ai API documentation.
Visual generation becomes more useful when Google Gemini Omni Flash API connects creative output with real-world context. Prompts involving physics, science, history, cultural meaning, or narrative logic can produce video results that feel more grounded than style-only generation. This is especially valuable for explainers, educational scenes, concept videos, and story-driven creative tools.
Gemini Omni Flash API can use references to guide the subject, style, motion, atmosphere, or scene behavior of a generated video. Images can provide visual direction, video clips can offer motion or scene context, and audio references can help shape the feel of the result. This gives users more control when the final video needs to stay close to existing creative materials.
Gemini Omni Flash performs strongly across Video Editing, Text to Video, Image to Video, and Reference to Video, covering the main video tasks developers may evaluate before choosing an API for generation or editing features. Against video models such as Seedance 2.0, Kling v3 Pro, HappyHorse, Grok Imagine Video, and Wan 2.7, Gemini Omni Flash shows leading results in several preference and instruction-following metrics, while individual tasks still reveal different model strengths. The scores below are based on Google DeepMind’s official benchmark tests.
| Benchmark Task | Metric | Gemini Omni Flash | Seedance 2.0 | HappyHorse | Kling v3 Pro | Grok Imagine Video | Wan 2.7 |
|---|---|---|---|---|---|---|---|
| Video Editing | Overall Preference | 1087 | 946 | 1044 | 1020 | — | 902 |
| Video Editing | Instruction Following | 1082 | 960 | 1036 | 1022 | — | 900 |
| Text to Video | Overall Preference | 1113 | 1070 | 957 | 999 | 913 | 948 |
| Text to Video | Instruction Following | 1108 | 1051 | 971 | 1000 | 919 | 951 |
| Text to Video | Fast Motion | 1050 | 1112 | 1025 | 1015 | 955 | 842 |
| Image to Video | Overall Preference | 1057 | 1003 | 1003 | 1053 | 1054 | 830 |
| Reference to Video | Overall Preference | 1004 | 996 | — | — | — | — |
| Reference to Video | Speech Adherence | 1028 | 972 | — | — | — | — |
| Reference to Video | Reference Adherence | 962 | 1038 | — | — | — | — |
Get started with our product in just a few simple steps...
Sign up or log in to EMix.ai, then open the API dashboard to generate a Gemini Omni Flash API key. The key connects your application environment with Google Gemini Omni Flash API access and should be kept secure during development and deployment.
Use available credits to test Gemini Omni Flash API before starting full integration. Developers can run sample prompts, review generated results, and evaluate how Gemini Omni Flash API performs for video editing, text-to-video creation, image-guided video, and reference-based generation scenarios.
Prepare the prompt, creative references, generation settings, and response handling logic according to your use case. Gemini Omni Flash API may involve different input types depending on the task, so exact file formats, input limits, parameters, output settings, and model support should be checked in the latest EMix.ai API documentation.
Integrate Gemini Omni Flash API through your backend service to handle user prompts, uploaded references, generation jobs, task status checks, and final video result delivery. Server-side integration helps protect API keys, control usage, manage retries, and create a more stable experience for end users.
AI video editing apps can use Gemini Omni Flash API to help users turn rough footage into more polished creative clips. A user may upload a simple phone video, describe the intended change, and generate a result with a new atmosphere, visual treatment, or scene direction. This is useful for products that want to reduce manual editing friction while still giving users creative control.
Short-form creator tools can use Google Gemini Omni Flash API to support TikTok-style clips, YouTube Shorts, reels, and social video posts. Creators can start from a prompt, image, existing clip, or visual reference, then create scenes for tutorials, announcements, hooks, trend content, or quick storytelling formats.
E-commerce platforms and marketing tools can use Gemini Omni Flash API to turn product materials into short promotional videos. A product image, lifestyle reference, or simple campaign idea can become a launch teaser, feature demo, seasonal creative, or social ad concept before final brand review.
Education products can use Google Gemini Omni Flash API to make complex ideas easier to understand through visual scenes. Science concepts, historical events, technical processes, training materials, or classroom topics can become short videos where movement, objects, and context help explain the subject more clearly.
Creative teams can use Gemini Omni Flash API to turn early ideas into visual previews before production. A rough storyboard, character sketch, scene reference, or written concept can help generate a draft video that shows the tone, pacing, setting, and visual direction of a project.
Marketing teams can use Google Gemini Omni Flash API to explore multiple video directions from approved creative materials. Product visuals, owned footage, campaign references, and original style guides can help generate different scene concepts while keeping the creative process closer to brand-controlled assets.
EMix.ai provides a cost-effective way to start using Gemini Omni Flash API for video generation and editing projects. Developers can test creative directions, review output quality, and plan usage with better cost control, making early exploration more practical before larger product integration.
Available credits on EMix.ai help teams evaluate Google Gemini Omni Flash API before committing to a full build. Developers can run sample prompts, compare different video tasks, and check whether the output behavior matches their product needs during the testing stage.
Gemini Omni Flash API documentation on EMix.ai helps developers understand account setup, authentication, request structure, supported inputs, task status, and response handling. Clear documentation reduces setup friction when moving from a first test to a working backend connection.
EMix.ai gives developers access to multiple AI models across video, image, audio, and multimodal generation tasks. Teams can use Gemini Omni Flash API for any-input video creation while also comparing other model options for adjacent creative features in the same platform.
Google Gemini Omni Flash API projects may involve prompt testing, input preparation, backend connection, job status handling, and result delivery. EMix.ai supports developers through these implementation steps so teams can move from early experiments to launch preparation with less integration friction.
EMix.ai offers 24/7 service for Gemini Omni Flash API users when access, usage, or integration questions appear. This is especially useful for teams running video generation features across different time zones or preparing production releases that need timely support.
Gemini Omni Flash is the first model in Google’s Gemini Omni family, designed for multimodal video creation and editing. It can work from text, images, video, and audio references to help create or transform videos through natural language direction, bringing Gemini’s reasoning ability into more context-aware video generation.
Gemini Omni Flash API is used to bring Google Gemini Omni Flash capabilities into apps, platforms, and backend systems. Developers can use it for AI video editing, text-to-video creation, image-guided video generation, existing video transformation, and reference-based video creation.
Google Gemini Omni Flash API is designed around multimodal input, including text, images, video, and audio references. These inputs can help guide the subject, scene, motion, style, or atmosphere of the final result. For exact file formats, size limits, duration limits, and request parameters, check the latest EMix.ai API documentation.
Yes. Gemini Omni Flash API can use an existing video as the starting point and apply natural language instructions to change the scene, action, visual style, objects, or effects. This makes it useful for AI video editors and creator tools that need more flexible video transformation.
No. Gemini Omni Flash API is not limited to text-to-video generation. It can also support image-to-video, video-based editing, and reference-guided generation scenarios, depending on the available API settings and supported input types.
Gemini Omni Flash API can help video products support natural language editing, short-form video creation, product marketing clips, visual explainers, storyboard previews, and creative video variations. It is especially useful when users need to create from existing materials rather than starting only from a written prompt.
Prompts for Gemini Omni Flash API should describe the scene, subject, action, camera direction, visual style, reference usage, and elements that need to stay consistent. For editing tasks, it is better to state the exact change clearly instead of writing a broad or vague instruction.
EMix.ai provides a cost-effective way to test and use Gemini Omni Flash API for creative video projects. Developers can evaluate prompts with available credits, review output quality, and plan usage before deeper integration, without relying on official pricing details in the page copy.
EMix.ai offers Gemini Omni Flash API access with available credits for testing, API documentation, multimodal model options, integration support, and 24/7 service. This helps developers move from early testing to product integration with a clearer setup path.