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  1. Home
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  3. Google Imagen 4 Officially Launches on Gemini API and Google AI Studio
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Google Imagen 4 Officially Launches on Gemini API and Google AI Studio

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  • baoshi.raoB Offline
    baoshi.raoB Offline
    baoshi.rao
    wrote on last edited by
    #1

    Google has officially released its new text-to-image generation model, Imagen 4, now available to users through the Gemini API and Google AI Studio platform. According to official reports, the new version shows significant improvements in text rendering performance compared to its predecessor.

    The release includes three different model variants. The standard Imagen4 primarily enhances overall image generation quality, particularly excelling in text rendering accuracy.

    For rapid generation needs, Google has also introduced the Imagen4Fast variant. This model is specifically optimized for fast image generation and large-scale batch processing tasks, significantly improving processing speed while reducing the cost to $0.02 per generation, providing an economical solution for users requiring large-scale image generation.

    For users with high-quality demands, Google offers the Imagen4Ultra version. This variant can generate more refined image details and more accurately follow user-provided text prompts, ensuring consistency and precision in the generated results.

    According to Google's examples, when users input descriptive text such as 'a magnificent mountain range at dawn, with a clear lake reflecting snow-capped peaks,' Imagen4 can generate corresponding high-quality natural landscape images.

    Industry experts believe that the launch of Imagen4 will provide stronger tool support for various industries, including art creation, advertising design, and content production. With the continuous development of text-to-image technology, the application prospects of such AI tools in creative industries are becoming increasingly broad.

    Currently, users can access and use these new models through Google's official developer platform. Google has stated that it will continue to optimize related technologies based on user feedback and market demands to further advance the field of AI image generation.

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