Nano Banana 2.1 | Edit.
- Image to Image
- Usage-based
Google Nano Banana 2.1 Edit transforms reference images with text instructions.
Nano Banana 2.1 | Edit neyde iyi?
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Nano Banana 2.1 Edit is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different…
Sınırlar ve ipuçlarıMake the main subject, composition, lighting and intended visual style unambiguous.
When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several…
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Model dokümantasyonu
Bu model hakkında
Google Nano Banana 2.1 Edit transforms reference images with text instructions. Revise visual concepts with supported resolutions for design and content teams.
Overview
Nano Banana 2.1 Edit Overview
Google Nano Banana 2.1 Edit transforms reference images with text instructions. Revise visual concepts with supported resolutions for design and content teams.
The model revises supplied image references from a text instruction with selectable image-delivery settings.
Nano Banana 2.1 Edit from Google is available through each::labs in the nano-banana-2.1 family. Required fields are prompt, image_urls.
aspect_ratio: Auto keeps the input image's aspect ratio; explicit ratios are sent unchanged. resolution: Resolution.
Use the Nano Banana 2.1 Edit API when you need this transformation or analysis as a repeatable step in an application or creative pipeline. The sections below distinguish the required material, adjustable controls and checks that matter before delivery.
Capabilities
Capabilities
- The model revises supplied image references from a text instruction with selectable image-delivery settings.
- aspect_ratio: Auto keeps the input image's aspect ratio; explicit ratios are sent unchanged.
- resolution: Resolution.
- num_images: Number of images to generate.
- image_urls: Images to edit or use as references.
Use cases
Use Cases for Nano Banana 2.1 Edit
Nano Banana 2.1 Edit is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts of a working pipeline.
Creators
Revise a product image. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.
Design and marketing teams
Combine a creative reference with a new scene. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.
Developers
Explore a campaign variation. Inspect the actual returned value before connecting it to another step, and keep the chosen request settings with the result.
Start with a clear definition of the desired result and use the exposed controls to reach it. Keep any additional generation, editing or application logic in separate steps so that the effect of this operation remains easy to review.
Tips & tricks
Tips and Tricks
Make the main subject, composition, lighting and intended visual style unambiguous. When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several competing requests.
- resolution: Resolution.
- num_images: Number of images to generate.
- Example direction: “Replace the background with a softly lit studio; keep the subject, colors and framing unchanged.”
- Example direction: “Make the lighting warmer while preserving the main subject and its visible details.”
Compare one deliberate adjustment at a time. Inspect the part of the result affected by that change, then check the rest of the asset or response for unwanted side effects before reusing the settings.
Technical spec
Technical Specifications
- Result type: array.
- Required fields: prompt, image_urls.
- aspect_ratio: string; options 1:1, 3:2, 2:3, 3:4, 1:4, 4:1, 4:3, 4:5, 5:4, 1:8, 8:1, 9:16, 16:9, 21:9, Auto.
- resolution: string; options 1K, 2K, 4K.
- output_format: string or null; options png, jpeg, webp, None; default "png".
- prompt: string.
image_urls: Images to edit or use as references.
Values must use the types and accepted options listed in the parameter reference. A displayed default does not remove a required-field requirement. Choose a supported output setting for this entry rather than borrowing a preset from a related model.
Things to be aware of
Things to Be Aware Of
Review lettering, small structures, edges and any requested product details at the intended display size. An attractive first impression is not enough to establish that a visual matches its brief.
Optional settings are not necessarily interchangeable with those on another entry in the same family. Use the accepted names, types and values shown for this operation.
For media-based inputs, supply a directly retrievable file URL rather than a page containing the asset. Keep the source available while processing. Check the final content in the destination player, editor or application, not only the request status.
Key considerations
Key Considerations
Describe preserved details alongside the edit, and check text, identity and boundaries in the result.
Google Nano Banana 2.1 Image Edit Standard Global token rates (input $1.50/M, cached $0.15/M, text+thinking $7.50/M, image output $30/M); actual usage only. No discount applied.
Prepare prompt, image_urls before starting. Optional settings include aspect_ratio, resolution, num_images. Keep these settings aligned with the intended delivery, especially when a later step expects a particular type or format.
Run a representative request before scaling to a larger collection. Judge the result against the source and the brief, and account for all generated outputs or usage-sensitive options when estimating a batch.
Limitations
Limitations
- image_urls: minimum items: 1; maximum items: 14; item string; item format: uri.
- aspect_ratio: allowed values: ["1:1", "3:2", "2:3", "3:4", "1:4", "4:1", "4:3", "4:5", "5:4", "1:8", "8:1", "9:16", "16:9", "21:9", "Auto"].
Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.
Bu model hakkında sorular
Kısa yanıtlar. Kurulumunuza özel her konuda ekibimizle konuşun.
Google Nano Banana 2.1 Edit changes supplied images according to written instructions. This integration accepts an edit prompt and one or more reference image URLs. It is separate from Text-to-Image generation, which starts with a text description and does not require an existing image.
Google Nano Banana 2.1 Edit can help designers and content teams revise an existing image with written instructions. Reference images provide the starting material for the edit. The integration on each::labs accepts image URLs and offers supported aspect ratio and resolution options for the generated output.
Nano Banana 2.1 Edit pricing follows the actual token usage reported by Google. Input tokens, cached input tokens, text and reasoning output tokens, and image output tokens have separate rates. The bundle requires a usable token breakdown rather than estimating billing from image resolution alone.
