WaveSpeedAI APIGoogleGoogle Nano Banana Edit

Google Nano Banana Edit

Google Nano Banana Edit

Playground

Try it on WavespeedAI!

Google’s state-of-the-art image generation and editing model

Features

Google Nano-Banana Edit

Nano-Banana Edit 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 it stands out

  • Natural Language Editing Modify images using simple text instructions — no masking, layering, or manual tools required.
  • Context-Aware Understanding Accurately interprets scene structure, spatial relationships, and object semantics for realistic results.
  • Style and Tone Preservation Keeps lighting, shadows, and texture consistent with the original image while applying changes seamlessly.
  • High Precision Control Excels at fine-grained edits such as color adjustments, object replacement, or composition shifts with minimal distortion.
  • Creative Versatility Suitable for concept art, photography, advertising design, and everyday content creation.

⚙️ How to use

  • Input: existing image + text prompt

  • Output: edited image (JPEG/PNG/WEBP)

  • Size: 1:1, 4:3, 16:9, 21:9, and so on.

  • Supports style transfer, relighting, background replacement, and object modification

  • Works with natural prompts like:

    • “Replace the cloudy sky with a clear sunset.”
    • “Add soft studio lighting and a modern background.”
    • “Turn the model’s outfit into a formal business suit.”

💰 Pricing

  • $0.038 per image

  • Commercial use allowed


💡 Best Use Cases

  • Marketing & Branding — Update campaign visuals without reshooting.
  • Product Photography — Adjust materials, lighting, or layout instantly.
  • Social Media & Content Creation — Generate multiple variations with minimal effort.
  • Artistic Design — Experiment with colors, styles, and compositions effortlessly.

📝 Notes

Please ensure your prompts comply with Google’s Safety Guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.

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/edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "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

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
imagesarrayYes[]-List of URLs of input images for editing. The maximum number of images is 10.
aspect_ratiostringNo-1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9The aspect ratio of the generated media.
output_formatstringNopngpng, jpegThe format of the output image.
enable_sync_modebooleanNofalse-If set to true, the function will wait for the image to be generated and uploaded before returning the response. It allows you to get the image directly in the response. This property is only available through the API.
enable_base64_outputbooleanNofalse-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

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

© 2025 WaveSpeedAI. All rights reserved.