Codenamed GEMPIX2 (and nicknamed “ketchup”), the official name for Nano Banana 2 hasn’t been confirmed. The next chapter of Gemini 2.5 Flash Image may launch in days or weeks. The first version already improved image fidelity and followed complex prompts with ease. With the sequel nearing release, we can expect broader creative possibilities, smarter editing, and smoother workflows.
What Do The Rumors Say?
Nano Banana 2 is the successor to Google Gemini 2.5 Flash Image. If rumors are true, the new AI image model will be built on the yet-to-be-unveiled Gemini 3 architecture.
Unlike the first model, which debuted on LMArena, GEMPIX2 (later nicknamed “KETCHUP”) first appeared via staged reveals on Gemini. The codename went viral on X (formerly Twitter). While this hints at a new model, no official release date is known.
Meanwhile, Google’s notes on model deprecation have fueled speculation even more. Will Nano Banana 2 use Gemini 2.5, or leap to Gemini 3? The answer remains unclear.
Expected Features of Nano Banana 2
The preview version of Nano Banana 2 was available on the AI platform Media-ai for a few hours, where many creators tested its capabilities and found significant advancements:
1. Image Generation Quality
Those who tested and posted about Nano Banana 2 results noticed a significant improvement in image resolution. The first iteration became popular for its realism and accurate image editing, but this version is expected to go beyond that. It might be able to create images at a much higher resolution, including 2K, 4K… and maybe above that.
The AI image generator will likely be able to refine the textural and surface-level details with lifelike accuracy.
2. Faster Generation
Insiders speculate that GEMPIX or KETCHUP will have faster rendering time and optimized processing power, further broadening the creative and professional applications. Expect quicker turnaround time without any need for manual reworking or upscaling, and assets can be directly used for video generation and for online and print media.
3. Improved AI Image Editing
Gemini 2.5 Flash Image demonstrated incredible character and scene consistency even after extensive editing. When GEMPIX2 or KETCHUP was tested upon accidental (or intentional) release, it presented precise layer control, object manipulation, and textural preservation through text-based prompting.
4. Text Understanding
Nano Banana 2 might feature improved natural language understanding prompt interpretation. One of the most viral examples showcases a whiteboard with complex text without any textual or visual inaccuracies or artefacts. This exhibits the model’s increased and well-integrated world knowledge and visual fidelity. If the speculations hold, then Nano Banana 2 will potentially improve workflows, efficiency, and visual quality.
5. Advanced Image Remastering
Expect GEMPIX2 or KETCHUP to create entire scenes with characters and elements, and recolor and recreate a better version of it. The tool will be able to remaster an image into any visual style while maintaining the image’s integrity and consistency.
6. Language Understanding
Another highly anticipated feature of Nano Banana 2 is language translation and understanding. The AI image generation model will most likely accurately recognize text within the image, detect the language, and translate it into any language you want.
7. Physics Reasoning
If this rumored feature has any truth to it, then Nano Banana 2 might be the only AI image generator with any understanding of physics. When tested, the model correctly interpreted the behavior of an object when moved, predicting the trajectory and movements — this is like motion dynamics in image generation.
Rendering with Reason
The release of Nano Banana could be a turning point in AI image generation and editing. It surely will unlock the untapped potential of AI image generation, following instructions with logic and reason.
As we await the full release of Nano Banana 2, it’s clear that this tool will play a central role in the next wave of AI-powered creative tools, shaping the future of visual content generation in 2025 and beyond.
