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Gemini Omni Flash API for Conversational Video Editing

Gemini Omni API 将 Google DeepMind 在 Google I/O 2026 上发布的多模态视频生成与编辑模型带入你的技术栈。Gemini Omni 将 Gemini 的推理引擎与生成式媒体融合,可接受文本、图像、视频和音频的任意组合输入,生成一致且以知识为依据的输出。通过自然对话不断打磨结果:替换物体、重写场景、切换风格,同时保持物理规律、角色形象和画面连贯性不变。Atlas Cloud 通过统一的 API 提供完整的 Gemini Omni Flash 系列——文生视频、支持最多 7 张参考图的图生视频,以及参考图生视频——按秒计费、价格透明,低至 $0.112 起,且无需订阅。立即开始构建。

探索领先模型

Atlas Cloud 为您提供最新的行业领先创意模型。

使用 Gemini Omni Flash API 生成的四种方法

选择适合该任务的 Gemini Omni Flash API 端点,涵盖从文本生成视频、图像生成视频,到参考驱动生成以及对话式编辑等功能。

模态
Gemini Omni Flash Text-to-Video API (T2V)只有文本提示词?Gemini Omni Flash Text-to-Video API 可以在一步操作中将其转化为带有同步音频的 720p 视频,并在长达10秒的视频中通过推理驱动的控制来精准把握场景、动作和镜头。
Gemini Omni Flash Image-to-Video API (I2V)Gemini Omni Flash Image-to-Video API 能够将静态图像转化为动态视频,并将原图作为起始帧。凭借自然的运动效果和同步音频,它以 720p 的画质让产品特写、人像以及概念设计焕发生机。
Gemini Omni Flash Reference-to-Video API (R2V)使用 Gemini Omni Flash Reference-to-Video API,通过最多七张参考图像和三段短视频片段来引导生成过程。它能在整个片段中保持角色、风格和场景的一致性,是品牌和系列内容的理想之选。
Gemini Omni Flash Video Edit API当视频片段需要修改时,Gemini Omni Flash Video Edit API 会通过有状态的 Interactions API 应用自然语言指令。它可以替换元素、调整光照并重塑场景风格,同时在多轮交互中保持其余画面完好无损。

Build Video by Conversation with the Gemini Omni Flash API

Every Gemini Omni Flash API request can take any mix of text, image, video, and audio, generate synchronized sound, model real-world physics, and refine the result through conversation.

Conversational Editing

Conversational Editing

Refine a clip through natural language and the Gemini Omni Flash API applies the change while preserving the rest of the scene. Its stateful Interactions API remembers each turn, so edits build on one another.

Native Multimodal Input

Native Multimodal Input

The Gemini Omni Flash API accepts any mix of text, image, video, and audio in a single prompt. This anything-from-anything input lets you drive a generation from whatever source material you already have.

Synchronized Audio in One Pass

Synchronized Audio in One Pass

Sound is generated with the picture in one inference pass, so dialogue, effects, and ambience stay locked to the action. The Gemini Omni Flash API needs no separate audio step afterward.

World Modeling

World Modeling

Grounded in a model of real-world physics, the Gemini Omni Flash API renders believable reflections, gravity, lighting, and weather. Scenes hold together visually instead of drifting into artifacts, even in dynamic shots.

Multimodal Referencing

Multimodal Referencing

Guide a generation with up to seven reference images and three short video clips, and the Gemini Omni Flash API keeps subjects, style, and scene consistent. This holds identity steady across edits and shots.

Gemini Omni vs Other Models - One Prompt

The same prompt, generated by Gemini Omni and other leading video models: Multi-shot and high-end commercial film

提示词

Generate a 3-scene continuous video: Scene 1: The woman stands under neon lights in a rainy street in Tokyo. Reflections on wet ground, cinematic depth of field, handheld camera movement. Scene 2: The camera slowly transitions to a closer shot. She speaks softly in sync with the provided voice, her lip movements perfectly matched. Background traffic continues seamlessly. Scene 3: She enters a subway station. The environment remains consistent in lighting, weather, and mood. The camera follows her from behind, maintaining identity consistency. Constraints: - Maintain identical facial identity across all scenes - Preserve lighting continuity (rain, neon reflections) - Ensure physical realism (rain interaction, wet surfaces) - Ensure audio-visual synchronization with voice input - No scene reset between transitions; continuous world state Style: high-end cinematic realism, film grain, anamorphic lens, shallow depth of field, 4K film look

Gemini Omni

Wan 2.7

Kling v3.0

提示词

Generate a 4-scene continuous video: Scene 1: A small white robot sits motionless on a wooden desk in a dim apartment at midnight. Moonlight enters through the window. The robot’s eyes slowly light up, and a faint mechanical hum begins. Scene 2: The robot climbs down from the desk carefully. Its small metal feet make soft clicking sounds on the wooden floor. The camera follows at a low angle, keeping the robot’s size and shape consistent. Scene 3: The robot walks into the kitchen. Reflections from the refrigerator door and the tiled floor respond naturally to its movement. The same moonlight and quiet nighttime atmosphere continue from the previous scene. Scene 4: The robot stops near a window and looks outside at the city lights. The camera slowly pushes in from behind, preserving the robot’s identity, material, scale, lighting, and sound continuity. Requirements: - Maintain the exact same robot design across all scenes - Preserve one continuous apartment layout, with no scene reset - Keep lighting consistent from room to room - Match footsteps and mechanical humming to the robot’s motion - Use physically realistic reflections, shadows, and object interactions - Smooth transitions between scenes, as if one continuous world is being filmed Style: cinematic realism, quiet sci-fi atmosphere, soft moonlight, detailed materials, realistic camera movement, shallow depth of field, high-end commercial film look

Gemini Omni

Kling V3.0

Pixverse v6

Where Teams Use the Gemini Omni Flash API

Production and marketing teams reach for the Gemini Omni Flash API to make ads, edit finished clips by conversation, produce social and training video, animate product shots, and power generative media apps.

Advertising & Marketing Video

The Gemini Omni Flash API turns a product image or brand visual into a finished ad with motion and synchronized audio. Marketing teams ship social campaigns and branded stories without a production crew.

Conversational Video Post-Production

Feed in a finished clip and refine it by conversation, adding B-roll, swapping elements, or restyling scenes without regenerating. The Gemini Omni Flash API keeps the rest of the footage intact across every edit.

Social & Short-Form Content

When social teams need volume, the Gemini Omni Flash API pulls the strongest short segments from raw footage and adds transitions and styled end cards. It keeps a daily cadence without switching tools.

Educational & Explainer Video

Learning platforms use the Gemini Omni Flash API to turn abstract ideas into short animated lessons with narration. A workflow, a science concept, or a comparison becomes a clear visual explainer in minutes.

E-Commerce & Product Video

The Gemini Omni Flash API animates a single product photo into a lifestyle teaser or hero shot, and can swap garments or backgrounds. Online stores build consistent product video across a full catalog.

Generative Media Apps

Build video generation and conversational editing into your own product with the Gemini Omni Flash API through one integration. Creator tools and media apps ship an in-app editor without running a pipeline.

Gemini Omni Flash API 对比分析

查看不同厂商的模型表现 — 对比性能、价格和独特优势,做出明智决策。

ModelBest forNative audioConversational editingInput types
Gemini Omni Flash通过对话编辑成品视频Yes是的,有状态文本、图像、视频、音频
Veo 3.1支持场景扩展的电影级片段YesNo文本、图像、参考
Seedance 2.0旗舰级参考控制视频YesNo文本、图像、视频、音频
Kling 3.0多镜头AI导演叙事YesNo文本、图像、参考

如何在 Atlas Cloud 上使用 Gemini Omni Flash

几分钟即可上手 — 按照以下简单步骤,通过 Atlas Cloud 平台集成和部署模型。

创建 Atlas Cloud 账户

在 atlascloud.ai 注册并完成验证。新用户可获得免费额度,用于探索平台和测试模型。

为何在 Atlas Cloud 使用 Gemini Omni Flash

将先进的 Gemini Omni Flash 模型与 Atlas Cloud 的 GPU 加速平台相结合,提供无与伦比的性能、可扩展性和开发体验。

性能与灵活性

低延迟:
GPU 优化推理,实现实时响应。

统一 API:
一次集成,畅用 Gemini Omni Flash、GPT、Gemini 和 DeepSeek。

透明定价:
按 Token 计费,支持 Serverless 模式。

企业与规模

开发者体验:
SDK、数据分析、微调工具和模板一应俱全。

可靠性:
99.99% 可用性、RBAC 权限控制、合规日志。

安全与合规:
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。

关于 Google Gemini Omni Flash API 的常见问题解答

The Gemini Omni Flash API gives developers Google DeepMind's video generation and editing model on Atlas Cloud through one key. It creates video from text, image, video, or audio, produces synchronized audio in a single pass, and lets you refine results through conversation. It entered public preview in mid-2026.

The Gemini Omni Flash API accepts any combination of text, image, video, and audio in a single prompt. For consistency, it takes up to seven reference images and up to three short video clips to guide a generation.

Yes. The Gemini Omni Flash API supports conversational editing through a stateful Interactions API, so you can describe a change in natural language and it applies the edit while keeping the rest of the clip intact. Edits build on one another across turns.

Gemini Omni Flash API outputs 720p video in landscape or portrait, with clips currently up to 10 seconds. The 10-second cap is a launch-time deployment limit rather than a hard model limit.

Yes. The Gemini Omni Flash API generates video and audio together in a single inference pass, so dialogue, effects, and ambience stay aligned to the action. There is no separate audio step to run afterward.

On Atlas Cloud the Gemini Omni Flash API is billed per second of video, starting at $0.112 per second, with lower developer-tier rates available. Pricing is transparent and usage-based, so you only pay for the video you generate.

No. Going to Google directly routes Gemini Omni Flash through the Gemini API or Vertex AI, which involves a Google Cloud project. With the Gemini Omni Flash API on Atlas Cloud you only need an Atlas Cloud account and one key.

Yes. All Gemini Omni Flash output carries Google's SynthID watermark, an embedded marker that identifies content as AI-generated, and it cannot be disabled. The watermark does not affect visible quality or your ability to use the video commercially.

Yes. Atlas Cloud exposes an OpenAI-compatible API, so you can point the OpenAI SDK at the Atlas Cloud base URL, add your Atlas key, and call the Gemini Omni Flash API with your existing code. You can make your first request in minutes without a new integration.

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