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To use Nano Banana 2.1 in Gemini, open the tools menu, choose Create images, describe the image you want, and submit the prompt. To edit an existing picture, upload it in the same tool and state what should change and what must remain consistent. Developers can call the model with the API identifier gemini-nano-banana-2.1.
Good results come from a specific brief: subject, action, scene, composition, visual style, quality target, and aspect ratio. Access, model labels, resolution controls, and daily limits differ by Gemini surface, country, account, and plan, so confirm what your current interface offers.
What Nano Banana 2.1 is
Google describes Gemini Nano Banana 2.1, whose developer model ID is gemini-nano-banana-2.1, as a high-efficiency image-generation and conversational-editing model. It is designed for fast, high-volume image work and can create a new image from text, revise an uploaded image through a conversation, combine reference images, and accept video context in supported API workflows. Google positions Gemini 3 Pro Image for professional asset production; that is a vendor positioning statement, not an independent quality comparison.
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Choose the right way to access it
| Route | Best for | What you control | Important qualification |
|---|---|---|---|
| Gemini app | One-off images, conversational edits, and reference-based experiments | Prompt wording, uploaded images, follow-up instructions, and the controls shown in your account | Create images availability and model choices vary by country, language, account, plan, and product updates. |
| Gemini API | Applications, batch generation, repeatable workflows, and automation | Model ID, response modalities, aspect ratio, image size, references, and supported video inputs | You need an eligible Google AI for Developers setup and must follow the current API documentation and quotas. |
| AI Mode image creation | Image creation directly in Google Search AI Mode where enabled | Prompt and the limits shown for your Search account | Google Search Help publishes separate plan-based limits; those figures are not a general guarantee for the Gemini app or API. |
How to create an image in the Gemini app
- Open Gemini. Start a new conversation or use an existing one where you want the image generated.
- Open the tools menu and select Create images. The exact position and label can change as Google updates the app. If you do not see it, check that you are using a supported Gemini surface, language, country, and account.
- Write a brief, not just a noun. Begin with the subject, what it is doing, and where the scene takes place. Then add composition, style, image quality, and aspect ratio.
- Submit the prompt and inspect the result. Check the subject, important details, framing, spelling, and whether the requested orientation was used.
- Refine conversationally. Ask for one focused change at a time, such as moving the subject left, changing the lighting, or preserving a particular object. Re-state any detail that must not drift.
- Save only after checking it at its intended size. A result that looks correct as a thumbnail can reveal distorted hands, misspelled text, or altered logos when enlarged.
A reliable first prompt
Google’s suggested structure is “Create an image of” followed by subject + action + scene. For example: Create an image of a cat napping in a sunbeam on a windowsill. Add constraints after that sentence rather than replacing the concrete description with abstract adjectives.
| Prompt element | What to specify | Example wording |
|---|---|---|
| Subject | The main person, animal, object, or group | “A red commuter bicycle with a front basket” |
| Action or state | What the subject is doing or how it is positioned | “Leaning against a rain-wet brick wall” |
| Scene | Location, time, weather, and relevant surroundings | “On a quiet city street at blue hour” |
| Composition | Camera angle, subject placement, crop, and depth | “Three-quarter view, subject on the right, clear negative space on the left” |
| Style and medium | Photograph, illustration, poster, render, or another visual treatment | “Editorial street photograph with natural color” |
| Quality and lighting | Lighting character, detail level, and finish | “Soft overcast light, realistic textures, clean edges” |
| Aspect ratio | Portrait, square, or landscape orientation, or a specific ratio when the interface accepts it | “Vertical portrait composition for a phone screen” |
How to edit an existing image
- Choose Create images and upload the source picture. Use an image you have permission to modify and publish.
- Describe the requested edit in plain language. Identify the object or area to change, the replacement, and the elements that must remain unchanged.
- State preservation requirements explicitly. Mention the subject’s identity, pose, camera angle, background, colors, or dimensions when they matter.
- Review the first edit against the original. Look for accidental changes outside the requested area, especially to faces, hands, text, reflections, and product geometry.
- Continue with narrow follow-ups. A sequence of small corrections is easier to control than a single prompt that asks for many unrelated changes.
Use a conversational mask for targeted changes
Gemini’s image-generation guidance describes defining a mask conversationally: explain which region should change and instruct the model to leave everything else alone. A useful instruction names both the target and the protected area, for example: Replace only the sky above the roofline with a clear sunset sky; keep the building, people, shadows, and camera framing unchanged. A mask is an instruction strategy, not a promise of pixel-perfect preservation, so compare the edited image with the source before accepting it.
Keep the edit unambiguous
- Name the exact object rather than saying “the thing on the left.”
- Separate the change from the invariants: “Change the jacket to navy; keep the person’s face, pose, and background.”
- Specify whether the new element should match existing perspective, lighting, grain, and depth of field.
- When an edit fails, undo the last request conceptually by uploading the original again and issuing a simpler instruction.
Use reference images without losing control
Nano Banana 2.1 supports multi-image reference workflows. Google documents up to 14 reference images for the model family. For Nano Banana 2.1 workflows, Google specifies consistency for up to four characters and fidelity for up to ten objects. Those are documented workflow limits, not a guarantee that every reference will be reproduced perfectly.
Assign a job to every reference. Say which image supplies the character, which supplies clothing or an object, which supplies the visual style, and what the final scene should contain. For example: Use reference 1 for the person’s face and hairstyle, reference 2 for the red backpack, and reference 3 for the watercolor treatment. Put the person wearing the backpack in a train station; do not copy the background from any reference.
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Too many unrelated references can make priorities unclear. If the result mixes identities or objects, reduce the set, label the roles in the prompt, and ask for one controlled composition before adding more elements.
Get the image to match your prompt
More detail generally gives Gemini more constraints to follow, but detail is useful only when it is concrete. Put the highest-priority requirements first and describe spatial relationships instead of listing adjectives.
Specify placement and hierarchy
Tell the model where the subject sits, what is in the foreground and background, and where empty space is needed. “The product occupies the lower-right third with clean white space above it for a headline” is more actionable than “make it balanced.”
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List non-negotiable objects, colors, text, and proportions before optional atmosphere. If a detail is critical, repeat it in a final sentence such as Do not add additional people or logos. Repetition is not a substitute for checking the output; it simply clarifies priority.
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Handle text-heavy images carefully
Google’s guide says Gemini works best when the desired wording is generated first and then supplied when requesting the image. Treat generated lettering as draft artwork: proofread every word, number, and punctuation mark before publication. For important text, keep the copy short, provide exact capitalization, and leave enough empty space for later correction in a conventional graphics editor.
Ask for one change per follow-up
Changing the crop, lighting, clothing, background, and wording in one message makes it difficult to tell which instruction caused a regression. Make the largest correction first, then refine details while checking that earlier requirements still hold.
Resolution, aspect ratio, and output behavior
The official model reference lists 1K, 2K, and 4K outputs, with 1K as the default. In the Gemini app, the available size or orientation controls depend on the current product surface. In the API, the image-generation guide documents configuring image output options such as aspect ratio and image size.
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- Choose 1K for drafts, prompt iteration, and quick concept work.
- Choose 2K or 4K when the API and your account expose those sizes and the final use needs more pixels.
- Specify portrait, square, or landscape orientation in the prompt even when a separate aspect-ratio control exists; the wording helps establish the intended composition.
- Inspect the delivered dimensions rather than assuming that a requested size was honored.
Google cautions that the model will not always return the exact number of images explicitly requested. If a workflow needs a fixed count, treat each response as variable and add application-side handling or request images in separate calls.
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Developer workflow with the Gemini API
For programmatic generation, select the model ID gemini-nano-banana-2.1. The official API guide shows a text prompt, image output in the response modalities, and image configuration such as aspect ratio and image size. The exact SDK method names and authentication steps depend on the current Google AI for Developers tooling, so use the versioned API documentation for implementation details.
- Authenticate your application using the credentials and project setup required by the current Gemini API documentation.
- Set the model to
gemini-nano-banana-2.1. - Send a text prompt using the same subject, action, scene, composition, style, quality, and aspect-ratio structure used in the Gemini app.
- Request image output through the documented response-modality setting and configure image size when your account and endpoint support it.
- Attach reference images when needed. Label each reference’s role in the prompt and keep within the documented reference limits.
- Validate the response in your application. Check that an image part was returned, handle a variable number of images, and preserve the returned file data using your own storage and retention policy.
Nano Banana 2.1 supports video input for image generation in the documented API workflow. A public YouTube URL or an uploaded video file can provide context for a thumbnail, poster, infographic, or artwork inspired by a scene. Audio input is not supported for image generation, so describe any audio-dependent idea in text or use visual frames as the source.
Search grounding and reference constraints
Search grounding can use Google Web and Image Search when the selected surface supports it. Google’s documentation says grounded Search does not currently support real-world images of people from web search. Do not assume that a search-grounded prompt can fetch and reproduce a particular person’s photograph.
Grounding is also not a replacement for rights review. Verify that you have permission to use uploaded references and that any generated likeness, trademark, artwork, or product depiction is appropriate for your use case.
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Availability and daily limits
Google’s Gemini consumer guidance says image generation is available in all languages and countries where the Gemini app is available. It also says Google AI Pro, Plus, and Ultra users have access to the best image model in Gemini and can redo an image with Nano Banana Pro. Product labels and entitlements can change, so rely on the controls and notices shown in your account.
Google Search Help lists the following AI Mode image-creation limits, accessed in 2026:
| Google Search AI Mode status | Published limit | Qualification |
|---|---|---|
| No Google AI plan | Up to 25 images in 24 hours | Search Help figure for AI Mode, not a general Gemini app or API allowance |
| Google AI Plus | Up to 50 images in 24 hours | Search Help figure; plan availability varies by region and account |
| Google AI Pro | Up to 100 images in 24 hours | Search Help figure; capacity and demand can change the limit |
| Google AI Ultra | Up to 1,000 images in 24 hours | Search Help figure; not a promise of uninterrupted access |
Google explicitly warns that these limits can change with capacity, demand, and subscription plan. Recheck the current Search Help and Gemini interface before planning a production volume around any number.
Known constraints to plan for
- Exact adherence is not guaranteed. A detailed prompt improves direction but does not ensure every object, count, position, or wording is correct.
- Output count can vary. The API documentation warns that the model may return a different number of images than requested.
- Text needs proofreading. Generated signs, labels, menus, and poster copy can contain errors.
- Edits can spill outside the target. Compare the result with the original, especially around faces, hands, shadows, reflections, and fine patterns.
- Search grounding has a people-image limitation. Real-world images of people from web search are not supported in that grounding workflow.
- Audio is not an image input. The documented Nano Banana 2.1 image-generation API supports video context but not audio input.
- SynthID is included. Google’s API documentation says generated images include a SynthID watermark.
Practical prompt patterns
New editorial illustration
Create an image of a cyclist crossing a misty wooden bridge at dawn. Subject on the left third, wide landscape composition with open space on the right for a headline. Editorial digital illustration, restrained blue and amber palette, soft atmospheric depth, crisp foreground details, no lettering or logos.Product-background replacement
Use the uploaded product photo as the subject. Replace only the background with a warm, softly lit studio surface. Keep the product's shape, label, color, reflections, camera angle, and proportions unchanged. Match the existing light direction and leave clean negative space above the product.Character consistency across references
Use reference 1 for the character's face and hairstyle, reference 2 for the coat, and reference 3 for the watercolor style. Create one full-body scene of the same character waiting on a rainy platform. Keep the face, age, hair, and coat details consistent; do not copy the backgrounds from the references.Text-bearing poster
Create a portrait event poster with the exact headline “Night Market” and the exact date “18 October 2026.” Put the headline in the upper half, leave generous margins, use high-contrast sans-serif lettering, and include no other words. Proofread the rendered text and regenerate if any character is wrong.Troubleshooting common failures
| Problem | Likely reason | What to try |
|---|---|---|
| Create images is missing | Your surface, country, language, account, or plan may not have the feature, or the interface changed. | Check the Gemini tools menu, update the app, confirm account eligibility, and consult the current Gemini help page. |
| The composition is wrong | The prompt names a style but not spatial relationships. | Specify orientation, camera angle, subject placement, crop, foreground, background, and negative space. |
| An edit changes unrelated areas | The requested region or preservation rules are ambiguous. | Upload the original again, name the target precisely, describe a conversational mask, and list what must remain unchanged. |
| References are mixed together | The model cannot tell which image supplies which attribute. | Reduce the number of references and assign each one a role in a numbered or clearly labeled sentence. |
| Text is misspelled | Image models can render lettering inconsistently. | Use shorter copy, provide exact text and capitalization, regenerate, and proofread at full size before publishing. |
| The requested number of images is not returned | Google documents variable output counts. | Handle the response as variable, make separate requests, and add application-side count checks for API workflows. |
| The result is too small | 1K is the default or the selected surface does not expose larger output. | Choose 2K or 4K where available, verify the delivered dimensions, and avoid enlarging a draft repeatedly. |
| A grounded prompt cannot find a person’s photo | Search grounding does not support real-world images of people from web search. | Use an authorized uploaded reference or describe a fictional subject instead. |
A quality-control checklist
- Confirm that the subject, action, and scene are correct.
- Check framing, orientation, crop, and negative space against the intended placement.
- Inspect faces, hands, fine patterns, product geometry, reflections, and shadows.
- Proofread every visible word, number, and symbol.
- Compare an edit with the original to detect changes outside the requested region.
- Verify the actual resolution and file count returned.
- Review permissions for uploaded references and suitability for the intended publication.
- Record the prompt and source references when you need to reproduce a result through the API.
Nano Banana 2.1 is most useful when treated as an iterative image collaborator: give it a concrete brief, inspect the output, and make narrowly scoped corrections. The Gemini app is the quickest path for hands-on creation; the API adds repeatability and configuration, while availability and usage limits remain dependent on Google’s current product terms.
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