Google Nano Banana 2 Edit API Documentation

Google Nano Banana 2 Edit API Documentation

Playground

Google Nano Banana 2 Edit (Gemini 3.1 Flash Image) enables advanced image editing with 4K-capable output, fast iteration, and precise instruction following. Supports text translation, localization within images, and maintains subject consistency during edits. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

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?

• Natural language editing Modify images using simple text instructions — the model understands context and relationships.

• Multi-image reference Upload up to 14 reference images for complex edits and compositions.

• Multi-resolution support Output in 1K, 2K, or 4K resolution based on your needs.

• Flexible aspect ratios Multiple options including 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 1:4, 4:1, 1:8, and 8:1.

• Prompt Enhancer Built-in tool to automatically improve your edit descriptions.

• Format choice Export in PNG or JPEG format.

Parameters

How to Use

1. Upload reference images — add the images you want to edit (up to 14 images).
2. Write your prompt — describe the edit clearly (e.g., “Change the man to a woman”).
3. Choose aspect ratio (optional) — select a preset or leave empty for default.
4. Select resolution — choose 1K, 2K, or 4K based on your needs.
5. Choose output format — PNG for transparency support, JPEG for smaller file size.
6. Use Prompt Enhancer (optional) — click to automatically refine your description.
7. Run — submit and download your edited image.

Pricing

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 outputs are charged at 1.5× the standard rate; 4K at 2× the standard rate.
• 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.
• 2K resolution costs 1.5× and 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

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "images": [
    "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
  ],
  "aspect_ratio": "1:1",
  "resolution": "1k",
  "enable_web_search": false,
  "enable_image_search": false,
  "output_format": "png"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters