Google Nano Banana 2 Edit
Playground
Try it on WavespeedAI!Google Nano Banana 2 (Gemini 3.1 Flash Image) Edit enables image editing with 4K-capable output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Google Nano Banana 2 Edit
Nano Banana 2 Edit (Gemini 3.1 Flash Image) is Google’s advanced AI-powered image editing and generation model, designed to make visual transformation as intuitive as describing it in words. Built on Google’s cutting-edge computer vision and generative research, it combines precision, flexibility, and semantic awareness for professional-grade editing.
Why Choose This?
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Natural language editing Modify images using simple text instructions — the model understands context and relationships.
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Multi-image reference Upload up to 14 reference images for complex edits and compositions.
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Multi-resolution support Output in 1K, 2K, or 4K resolution based on your needs.
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Flexible aspect ratios Multiple options including 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9.
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Prompt Enhancer Built-in tool to automatically improve your edit descriptions.
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Format choice Export in PNG or JPEG format.
Parameters
| Parameter | Required | Description |
|---|---|---|
| images | Yes | Reference images to edit (max: 14, click ”+ Add Item” to add more) |
| prompt | Yes | Text description of the desired edit |
| aspect_ratio | No | Aspect ratio: 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 |
| resolution | No | Output resolution: 1k (default), 2k, 4k |
| output_format | No | Output format: png (default), jpeg |
How to Use
- Upload reference images — add the images you want to edit (up to 14 images).
- Write your prompt — describe the edit clearly (e.g., “Change the man to a woman”).
- Choose aspect ratio (optional) — select a preset or leave empty for default.
- Select resolution — choose 1K, 2K, or 4K based on your needs.
- Choose output format — PNG for transparency support, JPEG for smaller file size.
- Use Prompt Enhancer (optional) — click to automatically refine your description.
- Run — submit and download your edited image.
Pricing
| Resolution | Cost |
|---|---|
| 1k | $0.08 |
| 2k | $0.08 |
| 4k | $0.16 |
Best Use Cases
- Character Modification — Change attributes like gender, age, clothing, or appearance.
- Object Replacement — Swap elements within images while preserving context.
- Style Transfer — Apply different visual styles to existing images.
- Text Editing — Modify on-image text while maintaining design consistency.
- Scene Adjustment — Change backgrounds, lighting, or environmental elements.
Pro Tips
- Use clear, specific edit instructions for best results (e.g., “Change the man to a woman” rather than “modify the person”).
- Start with fewer reference images (1–3) for simpler edits.
- More reference images can help with complex compositions but may affect stability.
- 2K offers the best value — same price as 1K with higher resolution.
- Try the Prompt Enhancer to automatically improve your descriptions.
Notes
- Both images and prompt are required fields.
- Maximum reference images: 14 (recommended: fewer images for better stability).
- If aspect_ratio is not selected, the model uses a default ratio.
- 4K resolution costs 2× the standard rate.
- Ensure your prompts comply with Google’s Safety Guidelines.
Related Models
- Nano Banana 2 Text-to-Image — Generate images from text prompts.
- Nano Banana Pro Edit — Pro tier editing with enhanced quality.
- Nano Banana Pro Text-to-Image — Pro tier image generation.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"resolution": "1k",
"output_format": "png",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| images | array | Yes | [] | 1 ~ 14 items | List of URLs of input images for editing. The maximum number of images is 14. |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| aspect_ratio | string | No | - | 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | The aspect ratio of the generated media. |
| resolution | string | No | 1k | 1k, 2k, 4k | The resolution of the output image. |
| output_format | string | No | png | png, jpeg | The format of the output image. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |