Nano Banana 2.5Nano Banana 2.5 is an advanced image generation and editing model from Google, designed to deliver clearer visual quality, stronger reference fidelity and more precise refinements. It generates more natural lighting and textures, preserves subjects more consistently, and follows complex visual instructions more accurately across multiple edits.
The most significant improvement is speed. Nano Banana 2.5 generates images much faster than Nano Banana 2. In our tests, complex prompts took only a few seconds to render. This is fast enough for rapid iteration,
Nano Banana 2.5 draws on Gemini’s real-world knowledge base and can use real-time web search to assist image generation. This means it can render specific objects more accurately and create infographics using up-to-date data.
Visual quality improvements go beyond resolution. Google emphasizes “more vibrant lighting, richer textures and sharper details.” In our tests, realistic scenes, such as landscapes and product photos, showed significant improvements in texture detail and lighting consistency compared with previous models.
One of Nano Banana 2.5’s highlights is object consistency. The model can maintain the likeness of multiple characters across images. You can generate a series of images featuring the same characters in different situations without worrying about their appearance changing randomly between frames.
Move from a description to a refined image with a clear direction at every step.
Describe the subject, setting, style and intended use. For an existing image, choose editing and add your reference.
Choose a version, aspect ratio and resolution, then review the credit cost.
Review the result and refine the details. Save the prompt and settings to build on your idea.
Building on Nano Banana 2, Nano Banana 2.5 delivers comprehensive improvements through more precise local editing, stable multi-step refinement, lower latency, realistic lighting and stronger production reliability.
| Feature | Nano Banana 2.5 | Nano Banana 2 |
|---|---|---|
| Focus | Advanced image generation and editing focused on precise changes, rapid iteration, visual realism and production workflows | General-purpose AI image generation and editing for everyday creative, design and marketing workflows |
| Local editing | More precisely replace text, clothing, objects and selected visual elements while preserving surrounding details | Supports targeted image editing, but complex changes may affect more of the surrounding image |
| Iterative editing | Better preserves previous changes across multiple editing rounds for a more stable refinement process | Supports multi-step editing, but visual details may drift more noticeably between revisions |
| Generation speed | Up to 50% lower generation latency for faster image creation and editing workflows | Strong generation performance, but longer waits compared with Nano Banana 2.5 |
| Use cases | Local editing, text replacement, product visuals, marketing assets, iterative design and production workflows | General AI image generation, concept art, social content, marketing visuals and flexible image editing |
| Version | Resolution | Credits / image |
|---|---|---|
| Nano Banana 2.5 | 1K | 18 |
| Nano Banana 2.5 | 2K | 28 |
| Nano Banana 2.5 | 4K | 36 |
Find a starting point for everyday content and larger visual projects.
Develop a layout, lighting and focal point around your next creative brief.
Use references to explore backgrounds, materials and camera angles.
Plan subjects and negative space for the format you intend to publish.
Set a shared direction through color, shape and scene descriptions.
Translate a complex idea into visual elements with a clear hierarchy.
Explore a story through its characters, mood and environment.
Learn about model choices, prompts, references and credit costs.
Nano Banana 2.5 offers online AI image generation and editing. Create product visuals, portraits, posters, illustrations and scene concepts from text, or upload references to adjust backgrounds, lighting, style and details. Choose 1K, 2K or 4K output.
Use text-to-image to start from scratch with a subject, setting, composition and style. Use image editing for an existing photo or design: upload it and describe both the changes and the people, objects or layout to retain. Switch modes above the creation panel.
Reuse clear references and specify the facial features, clothing, product shape, colors and materials to preserve. Explain each reference’s role, then separately describe changes to the pose, background or viewpoint. Keep the core description consistent throughout a series.
Provide the exact in-image wording in quotation marks and specify its language, placement, alignment and hierarchy. Reuse a reference with different text for language variants. Check spelling, numbers and layout before publishing.
Choose image editing, upload the original and describe the target and scope of the change, including what to preserve. For example: “Change the background to a warm studio; keep the face, clothes and pose.” Focus on a related set of changes at a time to compare and refine results.
Start with the subject and intended use, then specify composition, light, materials and style. For edits, separate the details to keep from those to change. Put desired in-image text in quotation marks.
Use JPG, PNG or WEBP images. Follow the reference count and file size shown in the upload area. Choose clear images and explain the role of each reference in your prompt.
Credits depend on version, resolution and image count. The table lists per-image costs, and the generate button shows the total for your task.
Download the result and upload it as a reference in image editing, then describe the next change. Save a draft to retain your prompt and settings.