Nano Banana in Gemini: version 2 improves subject consistency, text rendering and image variants. 2 Lite adds a faster, lower-cost option for drafts and higher volumes to the model family.
Marketing and e-commerce teams wanting to develop image ideas and variants in Gemini directly from a brief or reference image.
Nano Banana 2 combines improved subject consistency and more precise instruction following with quick editing steps. 2 Lite is particularly suitable for large numbers of drafts; Pro remains an option for demanding image tasks.
Limitations
When you need legally reliable, pixel-accurate production files, accurate product depictions or complex layouts with error-free text.
Strengths
Nano Banana 2: subject consistency and precise image text
Image references and precise text instructions combine product depiction and lettering in one generation, for example for an offer mock-up with a recognisable product and a short integrated headline.
Edit reference images and create campaign variants
Combine an existing image with editing instructions to develop new scenes, such as the same product shot against a different background for another campaign.
Campaign and product variants, localised image text, storyboards and reference image edits; available resolutions and model access depend on the service used.
Google provides an experimental MCP server for Gemini Image (mcp-nanobanana) via Vertex AI on GitHub; a Google Cloud project is required. The Gemini app connects MCP servers only in the USA and in English. Source
A DPA and no training only with a Workspace account; personal accounts use data for improvement. DPA: yes · EU hosting: unclear · Headquarters: USA · Source
Free plan, from 4,99 EUR/month. Google AI Plus provides higher limits and 200 Flow credits; limited image generation is included in the free plan. Source
Create three distinctly different variants based on an existing product or campaign image: specify the subject, format and space for text in advance.
Create three square image variants based on this reference image. Keep the product, brand colours and lighting mood unchanged, altering only the background and visual message. Leave uncluttered space for text in the top right.
Two ideas for your working day
Keep corrections in the same image conversation
Provide an approved product photo and change the image gradually in the same conversation, for example first the background and then the lighting mood. Specify the product details that must stay unchanged in every round. Compare each new version with the original to avoid accumulating unnoticed small deviations over several editing steps.
If you want to combine several reference images or refine the same subject over multiple conversation rounds, check your model choice before starting. Google describes Lite as a fast variant that is less suited to these two tasks. Use a suitable editing mode and test a single subject first.
On 26 August 2025, Google released a remarkably good AI image-editing model: “Gemini 2.5 Flash Image” enables highly precise and versatile editing of images and photos in Google's AI chatbot Gemini.