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Gemini Nano Banana 2.1

Gemini Nano Banana 2.1 for Image Editing and Creation

Generate new image concepts, revise selected regions, preserve recurring subjects, and use external visual context throughout a multistep creative workflow.

Image ModelImage EditingMultimodalGrounded Creation

Gemini Nano Banana 2.1 API Preview

A preview of a multimodal model built for visual generation, precise revisions, grounded concepts, and iterative design work.

Coming Soon

Gemini Nano Banana 2.1 API access is coming to APIMart

APIMart is preparing the Gemini Nano Banana 2.1 API integration. When the integration is ready, this page will publish supported model IDs, request formats, limits, pricing, and access details.

Gemini Nano Banana 2.1 through APIMart's unified image API
Multimodal image editing, grounded creation, and subject-consistent design workflows
Documentation and pricing published when the APIMart integration is ready

Gemini Nano Banana 2.1 Visual Capabilities

Generation, image editing, grounding, consistency, and practical creative controls

Multimodal Image Creation

Combine written direction with reference images or video context to develop an image that reflects the desired subject, composition, and visual intent.

Mask-Based Image Editing

Use image editing with masks to target a specific area while leaving unrelated details available for comparison and review.

Multi-Turn Refinement

Continue image editing across conversational turns so designers can request focused revisions instead of rebuilding every visual from the beginning.

Subject Consistency

Develop image variations around recurring people, products, or objects while reviewing identity, styling, and continuity between results.

Grounded Visual Concepts

Use search grounding and external visual information when an image concept benefits from current references or additional real-world context.

Flexible Output Formats

Prepare an image for square, landscape, portrait, panoramic, or narrow layouts and select an appropriate supported resolution for the destination.

Multiple Reference Inputs

Bring several references into image editing to communicate materials, poses, products, environments, or stylistic relationships within one task.

Content Credentials and Review

C2PA content credentials can support provenance workflows, while teams should still review every image for accuracy, suitability, and rights.

Gemini Nano Banana 2.1 Use Cases

Practical visual workflows for creative, commerce, product, and content teams

Campaign Visual Development

Creative teams can turn a campaign brief and references into image directions, compare compositions, and refine a selected concept for production.

Virtual Try-On Concepts

Commerce teams can explore virtual try-on image workflows, review garment placement, and select useful concepts for a customer experience.

Product Presentation

Merchandising teams can place products in varied visual settings, preserve important product traits, and adapt image assets for different placements.

Targeted Creative Revision

Designers can use mask-based image editing to replace a region, adjust a detail, or test an alternative without discarding the full composition.

Storyboards and Prototypes

Product and media teams can transform written ideas into image sequences that help communicate a scene, interface concept, or early narrative.

Scaled Asset Variations

Content operations teams can organize repeatable image prompts and review steps to produce format variations while maintaining human approval.

Gemini Nano Banana 2.1 Visual FAQ

Core capabilities, inputs, editing workflows, controls, and APIMart access

What is Gemini Nano Banana 2.1?

Gemini Nano Banana 2.1 is a Google multimodal image model designed for image generation, image editing, grounded visual creation, and iterative refinement.

What inputs can Gemini Nano Banana 2.1 use?

The model can work with text and image inputs and can use video as input context, enabling prompts that combine instructions with visual references.

How does its image editing workflow operate?

Image editing can be performed over multiple turns, including mask-based revisions that direct changes toward selected areas of an existing visual.

Can it maintain subjects across image variations?

Subject consistency is a stated focus, making the model relevant to workflows that revisit a person, product, or object across related images.

What role does search grounding play?

Google Search and image-search grounding can provide external context for an image task that depends on current or real-world visual information.

Which output formats are supported?

The documented options include 1K, 2K, and 4K output and a broad selection of aspect ratios for square, portrait, landscape, and panoramic image layouts.

Which controls require special attention?

Unsupported controls include temperature, topP, topK, seed, and logprobs. Applications should follow the documented request format rather than sending these parameters.

How will APIMart publish Gemini Nano Banana 2.1 API access details?

APIMart is preparing the Gemini Nano Banana 2.1 API integration. When it is ready, this page will publish supported model IDs, request formats, limits, pricing, and access details.

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