Generate content using google/nano-banana-edit
curl --request POST \
--url https://api.kie.ai/api/v1/jobs/createTask \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "google/nano-banana-edit",
"callBackUrl": "https://your-domain.com/api/callback",
"input": {
"prompt": "turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible",
"image_urls": [
"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png"
],
"output_format": "png",
"image_size": "1:1"
}
}
'import requests
url = "https://api.kie.ai/api/v1/jobs/createTask"
payload = {
"model": "google/nano-banana-edit",
"callBackUrl": "https://your-domain.com/api/callback",
"input": {
"prompt": "turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible",
"image_urls": ["https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png"],
"output_format": "png",
"image_size": "1:1"
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'google/nano-banana-edit',
callBackUrl: 'https://your-domain.com/api/callback',
input: {
prompt: 'turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible',
image_urls: [
'https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png'
],
output_format: 'png',
image_size: '1:1'
}
})
};
fetch('https://api.kie.ai/api/v1/jobs/createTask', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.kie.ai/api/v1/jobs/createTask",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'google/nano-banana-edit',
'callBackUrl' => 'https://your-domain.com/api/callback',
'input' => [
'prompt' => 'turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible',
'image_urls' => [
'https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png'
],
'output_format' => 'png',
'image_size' => '1:1'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.kie.ai/api/v1/jobs/createTask"
payload := strings.NewReader("{\n \"model\": \"google/nano-banana-edit\",\n \"callBackUrl\": \"https://your-domain.com/api/callback\",\n \"input\": {\n \"prompt\": \"turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible\",\n \"image_urls\": [\n \"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png\"\n ],\n \"output_format\": \"png\",\n \"image_size\": \"1:1\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.kie.ai/api/v1/jobs/createTask")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"google/nano-banana-edit\",\n \"callBackUrl\": \"https://your-domain.com/api/callback\",\n \"input\": {\n \"prompt\": \"turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible\",\n \"image_urls\": [\n \"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png\"\n ],\n \"output_format\": \"png\",\n \"image_size\": \"1:1\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.kie.ai/api/v1/jobs/createTask")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"google/nano-banana-edit\",\n \"callBackUrl\": \"https://your-domain.com/api/callback\",\n \"input\": {\n \"prompt\": \"turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible\",\n \"image_urls\": [\n \"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png\"\n ],\n \"output_format\": \"png\",\n \"image_size\": \"1:1\"\n }\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"msg": "success",
"data": {
"taskId": "task_google_1765178615729"
}
}Google
Google - Nano Banana Edit
Image editing using Google’s Nano Banana Edit model
POST
/
api
/
v1
/
jobs
/
createTask
Generate content using google/nano-banana-edit
curl --request POST \
--url https://api.kie.ai/api/v1/jobs/createTask \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "google/nano-banana-edit",
"callBackUrl": "https://your-domain.com/api/callback",
"input": {
"prompt": "turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible",
"image_urls": [
"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png"
],
"output_format": "png",
"image_size": "1:1"
}
}
'import requests
url = "https://api.kie.ai/api/v1/jobs/createTask"
payload = {
"model": "google/nano-banana-edit",
"callBackUrl": "https://your-domain.com/api/callback",
"input": {
"prompt": "turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible",
"image_urls": ["https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png"],
"output_format": "png",
"image_size": "1:1"
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'google/nano-banana-edit',
callBackUrl: 'https://your-domain.com/api/callback',
input: {
prompt: 'turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible',
image_urls: [
'https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png'
],
output_format: 'png',
image_size: '1:1'
}
})
};
fetch('https://api.kie.ai/api/v1/jobs/createTask', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.kie.ai/api/v1/jobs/createTask",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'google/nano-banana-edit',
'callBackUrl' => 'https://your-domain.com/api/callback',
'input' => [
'prompt' => 'turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible',
'image_urls' => [
'https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png'
],
'output_format' => 'png',
'image_size' => '1:1'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.kie.ai/api/v1/jobs/createTask"
payload := strings.NewReader("{\n \"model\": \"google/nano-banana-edit\",\n \"callBackUrl\": \"https://your-domain.com/api/callback\",\n \"input\": {\n \"prompt\": \"turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible\",\n \"image_urls\": [\n \"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png\"\n ],\n \"output_format\": \"png\",\n \"image_size\": \"1:1\"\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.kie.ai/api/v1/jobs/createTask")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"google/nano-banana-edit\",\n \"callBackUrl\": \"https://your-domain.com/api/callback\",\n \"input\": {\n \"prompt\": \"turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible\",\n \"image_urls\": [\n \"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png\"\n ],\n \"output_format\": \"png\",\n \"image_size\": \"1:1\"\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.kie.ai/api/v1/jobs/createTask")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"google/nano-banana-edit\",\n \"callBackUrl\": \"https://your-domain.com/api/callback\",\n \"input\": {\n \"prompt\": \"turn this photo into a character figure. Behind it, place a box with the character’s image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible\",\n \"image_urls\": [\n \"https://file.aiquickdraw.com/custom-page/akr/section-images/1756223420389w8xa2jfe.png\"\n ],\n \"output_format\": \"png\",\n \"image_size\": \"1:1\"\n }\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"msg": "success",
"data": {
"taskId": "task_google_1765178615729"
}
}Query Task Status
After submitting a task, use the unified query endpoint to check progress and retrieve results:Get Task Details
Learn how to query task status and retrieve generation results
For production use, we recommend using the
callBackUrl parameter to receive automatic notifications when generation completes, rather than polling the status endpoint.Related Resources
Market Overview
Explore all available models
Common API
Check credits and account usage
Authorizations
All APIs require authentication via Bearer Token.
Get API Key:
- Visit API Key Management Page to get your API Key
Usage: Add to request header: Authorization: Bearer YOUR_API_KEY
Note:
- Keep your API Key secure and do not share it with others
- If you suspect your API Key has been compromised, reset it immediately in the management page
Body
application/json
The model name to use for generation. Required field.
- Must be
google/nano-banana-editfor this endpoint
Available options:
google/nano-banana-edit Example:
"google/nano-banana-edit"
The URL to receive generation task completion updates. Optional but recommended for production use.
- System will POST task status and results to this URL when generation completes
- Callback includes generated content URLs and task information
- Your callback endpoint should accept POST requests with JSON payload containing results
- Alternatively, use the Get Task Details endpoint to poll task status
- To ensure callback security, see Webhook Verification Guide for signature verification implementation
Example:
"https://your-domain.com/api/callback"
Input parameters for the generation task
Show child attributes
Show child attributes
Response
Request successful
Response status code
- 200: Success - Request has been processed successfully
- 401: Unauthorized - Authentication credentials are missing or invalid
- 402: Insufficient Credits - Account does not have enough credits to perform the operation
- 404: Not Found - The requested resource or endpoint does not exist
- 422: Validation Error - The request parameters failed validation checks
- 429: Rate Limited - Request limit has been exceeded for this resource
- 455: Service Unavailable - System is currently undergoing maintenance
- 500: Server Error - An unexpected error occurred while processing the request
- 501: Generation Failed - Content generation task failed
- 505: Feature Disabled - The requested feature is currently disabled
Available options:
200, 401, 402, 404, 422, 429, 455, 500, 501, 505 Response message, error description when failed
Example:
"success"
Show child attributes
Show child attributes