Google Nano Banana 2 Edit Fast API Documentation
Playground
Try it on WaveSpeedAI!Google Nano Banana 2 Edit Fast (Gemini 3.1 Flash Image) is the cheapest Nano Banana 2 editing option, starting at just $0.045 per image. Enables fast image editing with 2K default output and 4K support. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Nano Banana 2 Edit Fast (Gemini 3.1 Flash Image) is the cheapest Nano Banana 2 editing option, starting at just $0.045 per image. It delivers faster generation times while maintaining high visual quality, with 2K resolution by default.
Why Choose This?
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Lowest cost Nano Banana 2 The cheapest Nano Banana 2 editing option at just $0.045 per image.
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Speed-optimized Faster generation times compared to the standard variant.
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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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High-resolution output 2K default with 4K available for maximum detail.
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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, 21:9, 1:4, 4:1, 1:8, and 8:1.
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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, 1:4, 4:1, 1:8, 8:1 |
| resolution | No | Output resolution: 2k (default), 4k |
| enable_web_search | No | Enable web search to enhance generation with real-time info (default: false) |
| 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 2K (default) 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 |
|---|---|
| 2k | $0.045 |
| 4k | $0.05 |
| Web search | +$0.014 |
Best Use Cases
- Character Modification — Change attributes like gender, age, clothing, or appearance.
- Object Replacement — Swap elements within images while preserving context.
- Style Transfer — Apply different visual styles to existing images.
- Text Editing — Modify on-image text while maintaining design consistency.
- Scene Adjustment — Change backgrounds, lighting, or environmental elements.
Pro Tips
- Use clear, specific edit instructions for best results (e.g., “Change the man to a woman” rather than “modify the person”).
- Start with fewer reference images (1–3) for simpler edits.
- More reference images can help with complex compositions but may affect stability.
- Try the Prompt Enhancer to automatically improve your descriptions.
Notes
- Both images and prompt are required fields.
- Maximum reference images: 14 (recommended: fewer images for better stability).
- If aspect_ratio is not selected, the model uses a default ratio.
- Ensure your prompts comply with Google’s Safety Guidelines.
Related Models
- Nano Banana 2 Edit — Standard variant with 0.5K/1K/2K/4K resolution options.
- Nano Banana 2 Text-to-Image Fast — Fast text-to-image generation.
- Nano Banana 2 Text-to-Image — Generate images from text prompts.
- Nano Banana Pro Edit — Pro tier editing with enhanced quality.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(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": "2k",
"enable_web_search": false,
"output_format": "png"
}
JSON
)
# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit-fast" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}"); then
printf 'Submit failed. %s\n' "${CHECK}" >&2
exit 1
fi
TASK=$(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. %s\n' "${CHECK}" >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
# Transient errors (429, 5xx) are retried, honoring Retry-After.
HTTP_CODE=$(curl --silent --show-error --fail-with-body \
--connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
--output "${BODY_FILE}" --write-out '%{http_code}' \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
case "${HTTP_CODE}" in
2??) ;;
000|429|5??) # dropped connection or temporary error: keep polling
printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
sleep 10; continue ;;
*) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
cat "${BODY_FILE}" >&2; exit 1 ;;
esac
RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted)
printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneRetry temporary errors only while polling, never the submit request. Errors, retries and timeouts
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| images | array<string> | Yes | - | 0 ~ 14 items | List of URLs of input images for editing. The maximum number of images is 14. |
| aspect_ratio | string | No | - | 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, 8:1 | The aspect ratio of the generated image. If not specified, it is determined automatically from the input image. |
| resolution | string | No | 2k | 2k, 4k | The resolution of the output image. |
| enable_web_search | boolean | No | false | - | If enabled, the model will use web search to enhance the generation with real-time information. |
| output_format | string | No | png | png, jpeg | The format of the output image. |
Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.
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 | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| 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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |