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Veo 2 comes back to Gemini API: easily generate high-quality videos with text or images

I. Technological Breakthrough: A Qualitative Leap from Labs to APIs

Google DeepMind's Veo 2, released in December 2024, has been hailed as a "milestone in AI video generation" thanks to its 4K resolution, physical realism, and complex lens control. And with Veo 2's official access to the Gemini API, this technological breakthrough is moving from the lab to the developer ecosystem. Through the standardized interface of Gemini API, developers can directly call the core capabilities of Veo 2.

Veo 2 Experience Address:https://labs.google.com/

 

  • Multi-modal input support: You can either enter a text description (e.g. "car drifting scene, using 18mm wide angle lens, low angle tracking lens, low camera tracking") or upload a reference image to generate a motion video.

 

  • Movie-level parameter control: Support setting professional-level parameters such as lens movement trajectory (e.g. low angle tracking shot), light and shadow effects (e.g. Tyndall effect), and material transformation (e.g. metal surface reflection).

 

    • Intelligent Repair and Expansion: The new Repair function automatically removes watermarks or distracting elements from the video, while the Expansion function expands the aspect ratio from 16:9 to 21:9 widescreen, so that the filler content blends seamlessly into the original video.

API Integration: Building an Ecosystem from Developers to Enterprises

The Gemini API creates an open technology ecosystem for Veo 2 and currently offers three ways to access it:
  • Google AI Studio: Browser-based IDE with built-in Veo 2 and Imagen 3 models, support for visual parameter tuning and code generation. Provides 1500 free calls per day, suitable for rapid prototyping. Users can select "cinematic" style templates through a drag-and-drop interface to generate full videos with BGM and subtitles in one click.
  • Direct API calls: Requests are sent through a RESTful interface, supporting major languages such as JavaScript and Python. For example, the code to call Veo 2 to generate a video using Node.js is as follows:
  • const axios = require('axios');
    const auth = Buffer.from(`${API_KEY}:${API_SECRET}`).toString('base64');
    
    axios.post('https://videogen.googleapis.com/v1beta1/generate', {
      prompt: {
        text: 'Sloths in the rainforest move slowly', {
        camera: {
          lens: '18mm', motion: 'tracking shot', {
          motion: 'tracking shot'
        }
      },
      resolution: '4K', duration: 12
      resolution: '4K', duration: 12
    }, {
      headers: {
        Authorization: `Basic ${auth}`
      }
    }).
  • Enterprise solutions: With the Google Cloud Vertex AI platform, enterprises can customize the deployment of Veo 2 to meet large-scale needs in scenarios such as film and television production and virtual training. For example, Kraft Heinz uses Veo 2 for commercial production, shortening the original 8-week cycle to 8 hours and reducing the cost of a single video from $200,000 to $500 USD.

III. Industry impact: from technological competition to ecological reconstruction

Veo 2's landing on the Gemini API marks the "industrialization" of AI video generation, with implications across technology, business and talent:

1. Technology crushing and market reshaping

  • Performance Comparison: Compared to OpenAI's Sora Turbo, Veo 2 has an overall preference lead of 42% and a cue match lead of 35% in Meta's MovieGenBench test. its 4K resolution and 2+ minute generation time (compared to Sora Turbo's 1080p/20 sec.) further solidify the technology advantage.
  • Market Share: After launching in February 2025, Veo 2 quickly captured 40% of market share, replacing Runway as the industry leader. Chinese models such as "Keling v1.5" follow with 15%.
  • Industry standard: Google's open ecosystem, built through the Gemini API, is defining the industry standard for next-generation AI video. Its hybrid model of "pay-as-you-go + subscription" has been emulated by companies such as Aishi Technology and BioCount.

2. Competition for talent and technology integration

  • Core Talent Movement: Tim Brooks, formerly of OpenAI Sora, jumped to Google in October 2024 to lead the multimodal integration of Veo 2 with Gemini. He led the team to breakthroughs in physics simulation and interactivity, enabling Veo 2 to take a quantum leap forward in material transformation and camera control.
  • Technical synergy: Veo 2 is deeply linked with Imagen 3 and Gemini to form a "text-image-video" full-link generation capability. For example, users can first generate a concept map with Imagen 3, then turn it into a dynamic video with Veo 2, and finally add a natural language description with Gemini.

3. Business model innovation and industrial transformation

  • Reducing Costs and Increasing Efficiency: AI video generation costs $99% less than traditional productions.Top animated movies cost about $2 million per minute, while Veo 2 generates content for only $300. This makes professional-grade video production affordable for SMBs and even individual creators.
  • Application Scenario Expansion:
    • Movie and TV production: The director can quickly generate a split-scene script via text and preview different shot scenarios in real time. For example, if you type in "opening scene of a suspense movie, low angle elevation shot of the main character pushing in the door", Veo 2 can automatically generate a dynamic split-scene that includes changes in light and shadow and details of the environment.
    • EdTech: Teachers can turn static teaching images into dynamic demonstration videos. For example, if you upload a diagram of cell structure, Veo 2 can generate 3D animation to show the process of cell division.
    • E-commerce marketing: Brands can generate videos of product usage scenarios without the need for physical filming. For example, type in "white sneakers jogging on the beach" and Veo 2 will automatically generate a dynamic display that includes physical collision effects.
  • Industry Trend: The global AI video generation market size is expected to grow from $610 million in 2024 to $2.56 billion in 2032, at a CAGR of 19.5%. The dual drive of technology iteration and industry demand is reshaping the value chain of content production, collaboration and distribution.

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