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Nano Banana 2 Edit Fast

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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.

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Idle

Change to animation style.

$0.045per run·~22 / $1

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Change to animation style.

Change to animation style.

Remove people

Remove people

Replace the man with a handsome blonde man.

Replace the man with a handsome blonde man.

Related Models

README

Google Nano Banana 2 Edit Fast

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?

  • Lowest cost Nano Banana 2 The cheapest Nano Banana 2 editing option at just $0.045 per image.

  • Speed-optimized Faster generation times compared to the standard variant.

  • 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.

  • High-resolution output 2K default with 4K available for maximum detail.

  • 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

ParameterRequiredDescription
imagesYesReference images to edit (max: 14, click "+ Add Item" to add more)
promptYesText description of the desired edit
aspect_ratioNoAspect 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
resolutionNoOutput resolution: 2k (default), 4k
enable_web_searchNoEnable web search to enhance generation with real-time info (default: false)
output_formatNoOutput format: png (default), jpeg

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 2K (default) 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

ResolutionCost
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

Note:This website uses AI models provided by third parties.

Nano Banana 2 Edit Fast API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit-fast with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Nano Banana 2 Edit Fast below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit-fast" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

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

# 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit-fast";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "images": [
                "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
        ],
        "aspect_ratio": "1:1",
        "resolution": "2k",
        "enable_web_search": false,
        "output_format": "png"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "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"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/google/nano-banana-2/edit-fast", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Nano Banana 2 Edit Fast API — Frequently asked questions

What is the Nano Banana 2 Edit Fast API?

Nano Banana 2 Edit Fast is a Google model for image editing, exposed as a REST API 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. You can call it programmatically or try it from the playground above.

How do I call the Nano Banana 2 Edit Fast API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/google/google-nano-banana-2-edit-fast.

How much does Nano Banana 2 Edit Fast cost per run?

Nano Banana 2 Edit Fast starts at $0.045 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Nano Banana 2 Edit Fast accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `resolution`, `enable_base64_output`, `enable_sync_mode`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/google/google-nano-banana-2-edit-fast.

How long does Nano Banana 2 Edit Fast take to generate?

Median end-to-end generation time on WaveSpeedAI is around 78 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Nano Banana 2 Edit Fast outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Google). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Nano Banana 2 Edit Fast | Fast Image Editing API | WaveSpeedAI