An X post by AI specialist Samruddhi Mokal gained significant attention on Wednesday after she unveiled the “10 most powerful NanoBanana Pro prompts.” Her examples illustrate how Gemini Nano Banana Pro, the latest image-generation AI model from Google, can produce highly realistic images, enhance photos, create layouts, and generate interior visuals.
The group’s first example showcases the AI’s capability to recreate specific eras and aesthetics in extraordinary detail. Mokal’s prompt for a 2000s-style selfie instructs the model to generate a realistic mirror selfie, capturing the essence of early 2000s fashion and decor. The result includes long voluminous hair, a fitted cropped t-shirt featuring an anime-style graphic, and an authentic nostalgic bedroom setting.
Another example highlights the AI’s ability to maintain a person’s likeness while altering the surrounding environment. In a prompt for a Victoria’s Secret-style photoshoot, Mokal directs the AI to preserve the facial features of an uploaded image while placing the subject in a glamorous backstage setting filled with makeup artists and dramatic lighting. The result emphasizes the subject’s face and costume details, demonstrating strong face-preservation capabilities.
In a further demonstration of its versatility, the model can produce cinematic portraits with a film-like quality. A prompt requesting a Kodak Portra 400-style portrait captures warm lighting and natural expressions while maintaining the subject’s facial features. The image depicts a relaxed individual holding a coffee cup in an urban café setting, enhanced with a subtle film grain for a dreamy atmosphere.
Another noteworthy capability of Nano Banana Pro is its ability to create recursive images, such as an orange cat holding an iPad displaying the same cat in an endless loop. This feature emphasizes the model’s skill in handling intricate details and maintaining visual consistency across layers.
Nano Banana Pro also impressively converts GPS coordinates and time into realistic scenes. Mokal’s prompt for Tokyo Tower at 7 PM exemplifies the model’s understanding of location context and atmospheric conditions, producing a scene that aligns with the specified coordinates.
The AI’s photo-editing features are equally powerful. Mokal demonstrates this by prompting the model to transform regular photos into clean studio product shots. By removing distractions and recreating the product against a pure white backdrop, the AI delivers images suitable for e-commerce, enhancing lighting, sharpness, and color accuracy.
In another instance, the model shows its proficiency as a smart-editing tool by removing tourists from crowded backgrounds and replacing them with realistic elements that blend seamlessly into the scene. This capability ensures that the filled areas maintain the same lighting and depth as the original photograph, avoiding any distortions.
The AI’s utility extends to content creation, as demonstrated by its ability to design viral YouTube-style thumbnails. By altering facial expressions and adding dynamic graphics, the model can generate eye-catching thumbnails ready for use, enhancing content engagement for creators.
Moreover, the AI can transform plain text into a glossy magazine layout, integrating typography, photos, and pull quotes into a visually appealing presentation that resembles a printed article. This feature serves as a valuable tool for publishing previews and design mockups.
Finally, Nano Banana Pro can construct professional interior design boards from 2D floor plans, producing photorealistic 3D visualizations styled in modern minimalist aesthetics. This capability includes multiple views of living spaces and a top-down layout, mimicking the work of a professional designer.
Mokal’s post underscores that Gemini Nano Banana Pro is capable of far more than simple tasks; it can enable studio-quality photography, cinematic portrayals, and sophisticated design work directly on a mobile device. The online response has been overwhelmingly positive, with users labeling the model as “shockingly capable” and a “next-level tool for mobile creativity.”
Benchmarking Large Language Models: 17 Key Tests to Assess AI Performance
Expert Warns: Large Language Models Lack True Intelligence, Citing Cognitive Research
Alibaba’s Qwen3-VL Scans 2-Hour Videos with 99.5% Accuracy in Frame Detection
Google Limits Nano Banana Pro to 2 Daily Images for Free Users Amid High Demand
Distributed Speculative Decoding Achieves 1.1x Speedup and 9.7% Throughput Gain for LLMs
