Generate and edit from natural-language prompts
Describe the image you want, generate a first result, then ask for specific changes. Move from an idea to a refined visual without rebuilding the concept from scratch.


Generate and edit AI images with precise text, subject consistency, localization, flexible aspect ratios, and up to 4K output.
Nano Banana 2 is Google DeepMind's image generation and editing model, also identified as Gemini 3.1 Flash Image. It is built for fast image creation and editing while bringing advanced image capabilities to a Flash-class model.
The model can generate images from prompts, edit existing visuals, render text inside images, localize image content, keep subjects more consistent across a workflow, and output images at 2K or 4K.
This image model is useful for creators, marketing teams, e-commerce brands, designers, and teams that need visual concepts, campaign assets, infographics, posters, or repeatable characters.
A quick look at what Nano Banana 2 supports before you start a generation.
Describe the image you want, generate a first result, then ask for specific changes. Move from an idea to a refined visual without rebuilding the concept from scratch.
Generate posters, greeting cards, marketing mockups, and other visuals that need words inside the image. Review spelling and fine text details before publishing.
Create specific subjects, infographics, diagrams, and visual explanations with help from Gemini's real-world knowledge.
Translate text inside images and adapt the visual context for different audiences. Review grammar, spelling, and cultural nuance before use.
Build stories, campaigns, and multi-scene concepts with stronger subject consistency — up to four characters and ten objects across a single workflow.
Move between square, portrait, and landscape layouts, and generate at 2K or 4K for sharper social posts, ads, presentations, and larger creative assets.
Start from a proven scene. Reuse the prompt, change the subject or setting, and generate a new version.
Start with a clear prompt, add reference images when you need control, then generate an image you can review and refine.
Write a clear prompt with the subject, setting, composition, text, style, and intended use. More specific instructions give the model more context.
Upload images that show the character, object, visual style, or source material you want to preserve or reinterpret.
Select a square, portrait, or landscape aspect ratio, then choose the 1K, 2K, or 4K output level that fits your final asset.
Generate the image, check text and fine details, then use follow-up edit instructions to adjust composition, subjects, colors, or other elements.
Create images for the places where your audience already looks: social feeds, campaigns, product pages, and internal presentations.
Create Instagram posts, TikTok graphics, YouTube thumbnails, storyboards, illustrated sequences, posters, and personal creative concepts. Use text-to-image generation for new ideas, reference images for recurring subjects, and different aspect ratios to adapt one visual direction across social channels.
Create this imageDevelop campaign concepts, ad creatives, marketing mockups, posters, localized graphics, product launch visuals, and presentation-ready ideas. Precise text rendering and image localization can help teams explore creative directions for different markets before final design review.
Create this imageCreate product scene concepts, promotional graphics, lifestyle imagery, seasonal campaign assets, and branded visual ideas. Use prompt-based image editing to test backgrounds, layouts, and creative directions while keeping important subjects recognizable across related assets.
Create this imageTurn notes and structured information into diagrams, infographics, visual explainers, training concepts, and presentation graphics. Gemini's real-world knowledge can help with specific subjects, but factual labels, data, and technical details should be checked before external use.
Create this imageChoose a one-time PWZ credit pack for image generation and editing workflows. The exact Nano Banana 2 credit cost is shown with the selected generation settings before you create.
600 credits · $0.042 per credit
Perfect for trying out PWZ — get started with a credit balance for your first generations.
2,000 credits · $0.030 per credit
For creators generating regularly — better per-credit value for daily PWZ workflows.
4,000 credits · $0.025 per credit
Best value for teams and content pipelines — more generations at the lowest per-credit cost.
Both models deliver high-quality image generation and editing, but Nano Banana 2 prioritizes speed and efficiency, while Nano Banana Pro focuses on precision, consistency, and professional-grade output.
Nano Banana 2 is Google DeepMind's image generation and editing model, officially identified as Gemini 3.1 Flash Image. It supports image creation, editing, text rendering, localization, subject consistency, and higher-resolution workflows.
Yes. The model is designed for both AI image generation and image editing. You can create an image from a prompt and refine existing or generated visuals with additional instructions.
Yes, but you should review the result. Google highlights precise text rendering as a capability, while its model page also notes that spelling, small details, and long text can still contain errors.
Yes, with limitations. Google states that the model can preserve the resemblance of up to four characters and the fidelity of up to ten objects across a single workflow, though consistency is not guaranteed in every result.
Yes. The model can translate text and localize content inside images. Google also warns that grammar, spelling, idioms, and cultural nuance may need human review.
Commercial use is subject to the current PWZ and Google terms. Review both before publishing, licensing, or selling generated images.
Google positions Nano Banana Pro for high-fidelity work that needs maximum factual accuracy, while Nano Banana 2 emphasizes rapid generation, precise instruction following, and integrated image-search grounding. Choose based on the workflow rather than assuming one model is better for every task.
Generate a new visual, edit an existing concept, add text, localize creative assets, or build a consistent image sequence with the model on PWZ.
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