AI image generation tools are becoming more and more common. Every new model claims to have advantages over others or to be leading in certain areas. But as users, what we really care about is the actual results—not just technical jargon or marketing claims.
In this blog, I’ll compare two of the most popular and talked-about models: Flux Kontext and Google Nano Banana. Many users say Flux Kontext offers a deeper understanding of input prompts and produces more natural outputs. On the other hand, Nano Banana highlights its strengths in text-based editing and prompt accuracy.I’ll test both models based on three key areas:
- Prompt Understanding: How accurately does the model interpret and follow the given text prompt?
- Detail Processing: How well does the model render fine details and handle complex textures?
- Image Completion: How effectively does the model fill in missing or incomplete parts of an image?
Prompt understanding Put a Google logo on the paper and a banana below the logo
From left to right: Original Image → Google Nano Banana → Flux Kontext
- Both models understood the prompt, but Google Nano Banana produced a more natural-looking result compared to Flux Kontext.
Detail Processplease remove people in the background
- From left to right: Original Image → Google Nano Banana → Flux Kontext
- Both models successfully removed the people in the background.
- On closer inspection:
- Google Nano Banana: Some faint human shapes remain, making the background look slightly blurred and cluttered around the decks.
- Flux Kontext: Did a cleaner job—no people and no leftover shadows.
Image CompletionPlease turn this screenshot of the character into a character figure. Behind it, place a PlayStation game box printed with the character's image. Next to it, add a computer with its screen displaying the photoshop scene, complete with the photoshop UI and the character. In front of the game box, add a round plastic base for the figure and have it stand on it. The PVC material of the base should have a crystal-clear, translucent texture, and set the entire scene indoors.
The differences between Flux Kontext and Google Nano Banana are significant here.
- Flux Kontext: Struggled with body proportions. The full-body figure looks distorted, and the two hands are inconsistent.
- Google Nano Banana: Rendered a complete full-body figure with correct proportions. The overall result looks balanced and harmonious.
Overall, both models deliver excellent results, but each shines in different use cases and scenarios. Now, with RunC.AI’s AI Model Endpoints, you can explore both text-to-image and image-to-image models. Generate and edit images for free directly on RunC.AI.
