🧠 3 Levels of using viral Nano Banana

+4 new AI tools that are worthy of your attention

September 05, 2025

Meet Nano Banana (aka Gemini 2.5 Flash Image): the latest, fastest, and most efficient model for creating AI images.

  • Text-to-Image

  • Image + Text-to-Image (Editing): remove, or modify elements, change the style, or adjust the color grading.

  • Multi-Image to Image (Composition & Style Transfer): Use multiple input images to compose a new scene or transfer the style from one image to another.

  • Iterative Refinement: Chat to refine your image over multiple turns, making small adjustments until it's perfect.

  • High-Fidelity Text Rendering: Accurately generate images that contain legible and well-placed text, ideal for logos, diagrams, and posters.

There are so many use cases, it is essentially the closest we've ever been to Photoshop just using AI 👇

 

Level 1 → Beginners

  • Clothing swaps, virtual try-ons or even adding a whole new scene to the photo using prompts

  • Restoring old photos

  • Creating clickbait photos like they are posing with a celebrity

    Nano Banana Beginner Usecases

Level 2 → Pros

  • Marketing photos: combining a product photos for ad shoots. You can take a bunch of individual elements and combine then into a single shot.

    Nano Banana for Marketing

Level 3 → Legends

  • Incorporating AI video tools like Higgsfield to create deep fake videos: use the face swap tool in Higgsfield and you can create these realistic defect videos. Some of these examples are quite clever.

  • Using kling 2.1 morphing model so they can take 2 different images and morph them into a video, you can get really creative if you start combining Nano Banana with AI video tools, take a look 👇

    Nano Banana to create deep fake videos

👀 Shall we drop the full guide on using Nano Banana? 🍌

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AI Designer → type your prompt or upload product photo, it will first research the internet for a bunch of examples, then draft up some concepts and turn them into a design in just a few seconds

Instead of measuring AI models by benchmarks, you can create your custom tests to evaluate the models and see which one gets you the best results, you can also measure and analyse the model performances for those tasks

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