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The rise of AI-generated art has opened new doors for creativity, and Nano-banana is at the forefront of this movement. To help creators, researchers, and enthusiasts explore its full potential, we have built a GitHub collection dedicated to showcasing stunning images and carefully designed prompts generated by Nano-banana. 🤗

This curated repository is more than a simple gallery—it’s a resource for understanding how Nano-banana interprets prompts, manages multi-image fusion, and applies creative edits to produce outstanding visual results.

What is Nano-banana?

  • Nano-banana is the codename for Gemini 2.5 Flash Image, Google’s latest image generation & editing model.

  • It allows both text-to-image generation and image editing / transformation, often via natural language prompts.

  • Nano-banana supports features like multi-image fusion, targeted edits (e.g. change background, add or remove objects), and maintaining character or style consistency across transformations.

✨ What’s Inside the Collection

The GitHub repository provides a structured showcase of Nano-banana’s capabilities:

  • Curated Prompts with Outputs
    Each entry pairs the original prompt with its resulting image, giving you a clear look at how specific wording and instructions shape AI creativity.

  • Multi-image Fusion
    See how Nano-banana combines multiple input images into seamless and coherent new visuals.

  • Creative Editing
    Explore transformations such as background changes, style shifts, or detailed object edits—all while maintaining visual quality.

  • Artistic Experiments
    Discover reimagined aesthetics and playful designs that push beyond conventional art boundaries.

📌 Where the Examples Come From

The examples collected in this GitHub repository are sourced from Twitter/X 🐦, Xiaohongshu 📕, and other community platforms. By gathering and organizing them, the collection captures a wide spectrum of real-world use cases shared by creators across the globe.

🚀 Why This GitHub Collection Matters

This project is designed for anyone interested in learning, experimenting, or getting inspired by Nano-banana. By browsing the repository, you can:

  • Understand the relationship between prompts and generated results.

  • Gain inspiration for your own creative projects.

  • Learn effective prompt engineering techniques.

  • Explore the creative possibilities of Google’s generative AI technology.

🔗 Explore the Repository

You can dive into the full collection here:
👉 GitHub – Awesome-Nano-Banana-images

👉 GitHub – Awesome-AI-Tools-List

👉 GitHub  – Best-Free-AI-Tools-List

Ways to Access / Use Nano-banana

Here are common ways users can access Nano-banana features:

Platform / Method What You Can Do Notes / Requirements
Gemini App / Google AI / Gemini API Use the “Create images” or “Edit images” tools in Gemini. You may need to sign in with a Google account.
Via API / Developer Tools Integrate Nano-banana in your own app or backend. Gemini 2.5 Flash Image is available through Google AI Studio and Gemini API.
NanoBananaEditor (Third-Party GUI) Use a user interface that wraps around the API to generate and edit images (with mask tools, version history, etc.). You may need your own API key or configure environment variables.

Step-by-Step: Typical Use Flow

Here’s a simplified workflow on using Nano-banana:

  1. Sign in / enable the feature
    Log into Gemini or the platform offering Nano-banana, and locate the image generation / editing mode.

  2. Create an image (text → image)

    • Enter a detailed prompt describing what you want (scene, style, mood, objects).

    • Optionally supply parameters or settings (e.g. “creativity level,” seed) if the interface allows.

    • Submit and wait for the model to generate the result.

  3. Refine / iterate
    If the image isn’t perfect, provide further instructions (e.g. “make the sky darker,” “add a lamp”) and let the model refine it.

  4. Edit existing image (image + prompt)

    • Upload an image (either one you generated earlier or a photo).

    • Describe the change you want (e.g. “change background to a beach,” “remove the hat,” “blend with another image”).

    • Use optional support tools, like masks or regions, if available, to control where edits occur.

  5. Multi-image fusion / compositing

    • Supply multiple source images.

    • Provide instructions on how to merge them or place elements from one into another.

    • The model will combine them in a coherent way.

  6. Download / export

    • Once satisfied, export your image (PNG, JPEG, etc.).

    • Some interfaces may preserve a history or version tree so you can revert or compare edits.

Tips & Best Practices

  • Be as descriptive as possible in prompts — include style, lighting, mood, colors, objects, relations, etc.

  • Use reference images when available, to guide style or composition.

  • Start simple, then refine — generate a base image first, then ask for incremental edits.

  • Use masks or region selection (if supported) to limit edits only to parts of an image.

  • Maintain consistency by reusing prompts or reference images across related edits.

  • Iterate and experiment — small tweaks in wording can lead to big differences.

  • Be aware of costs / quotas — using the API or premium tiers may incur usage costs

🌈 Conclusion

The GitHub collection of stunning images and prompts generated by Nano-banana is both an inspiration hub and a practical learning resource. Whether you’re an artist looking for new workflows, a developer exploring AI’s creative applications, or simply curious about generative art, this repository offers valuable insights and examples.

Let’s unlock the creative power of Nano-banana together and reimagine what’s possible with AI-driven image generation! ✨