On November 20, 2025, Google DeepMind officially launched Nano Banana Pro (codenamed Gemini 3.0 Pro Image). Built on Gemini 3, this image generation tool centers on upgraded text rendering, expanded world knowledge, and professional-grade creative control, propelling AI image generation from “visual mimicry” to a new era of “logical creation” and delivering a transformative impact on the design industry.
Compared to its predecessor, the core evolution of Nano Banana Pro lies in integrating the deep thinking capabilities of Gemini 3. Before generating an image, it conducts physical simulations and logical reasoning instead of merely piecing together visual patterns. Building on 4K high-resolution output, it supports practical features such as multi-turn conversational editing, combining up to 14 input images, and maintaining consistent appearances for up to 5 characters, easily handling both complex infographics and coherent scene creation.
A standout highlight is the comprehensive upgrade of cross-modal understanding. The tool can accurately recognize text in images, enabling multi-language translation, localization adaptation, and layout optimization. Tasks that previously required repeated adjustments, such as comic coloring and bilingual poster production, can now be completed with a single click. Its text generation capability has also improved significantly, supporting various fonts, textures, and calligraphic styles. With a 64K input token limit, it can precisely parse ultra-long prompts, meeting complex needs like detailed storyboard scripts—perfectly aligning with the latest AI trend of intelligent, context-aware content creation.
Search Enhancement: Redefining the Logic of Creation
The most disruptive innovation of Nano Banana Pro is the deep integration of Google’s search capabilities with image generation. Users can directly obtain real-time information through prompts and convert it into visual content. For example, generating a 2-day Guangzhou travel infographic with attraction annotations and itinerary maps, or creating pop art-style weather charts using real-time weather data, endowing creations with factual grounding and timeliness.
Professional-grade creative control features have drastically lowered the barrier to design. Users can adjust details such as camera angles, scene lighting, and color grading styles through natural language commands. Tasks that once required meticulous operations in professional software—such as converting a daytime scene to night or adding bokeh effects—can now be accomplished with a single sentence. Google has also released a “cinematographer-style” prompt guide, advising users to clarify six key elements (subject, composition, scene, etc.) as well as details like aspect ratio and lighting parameters to maximize the tool’s potential.
In terms of product positioning, Google adopts a dual-model strategy: the original Nano Banana caters to daily casual editing, while the Pro version focuses on professional and complex needs. Currently available globally on the Gemini app, free users get a limited quota, while subscribed users enjoy higher usage privileges. Some Google Search users in the U.S. have also gained early access. All AI-generated content is embedded with an invisible SynthID digital watermark, ensuring content traceability.
The launch of Nano Banana Pro not only demonstrates the great potential of the native multimodal architecture but also signals a transformation in content production models. In the future, AI will become a core collaborative partner in the design process, significantly shortening the creation cycle from concept to final product. Moreover, the intelligent creation logic of “understanding before expressing” provides an important practical direction for the development of Artificial General Intelligence (AGI). As industries adapt to this technological shift, we can expect even more seamless integration of AI into creative workflows, unlocking possibilities that were once unimaginable.
