curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/blend \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/blend"
payload = {
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/midjourney/generations/blend";
const payload = {
image_urls: [
"https://example.com/a.png",
"https://example.com/b.png"
],
dimensions: "SQUARE",
speed: "fast"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/midjourney/generations/blend"
payload := map[string]interface{}{
"image_urls": []string{
"https://example.com/a.png",
"https://example.com/b.png",
},
"dimensions": "SQUARE",
"speed": "fast",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.apimart.ai/v1/midjourney/generations/blend";
String payload = """
{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/midjourney/generations/blend";
$payload = [
"image_urls" => [
"https://example.com/a.png",
"https://example.com/b.png",
],
"dimensions" => "SQUARE",
"speed" => "fast",
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/midjourney/generations/blend")
payload = {
image_urls: [
"https://example.com/a.png",
"https://example.com/b.png",
],
dimensions: "SQUARE",
speed: "fast",
}
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 = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/midjourney/generations/blend")!
let payload: [String: Any] = [
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png",
],
"dimensions": "SQUARE",
"speed": "fast",
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/midjourney/generations/blend";
var payload = @"{
""image_urls"": [
""https://example.com/a.png"",
""https://example.com/b.png""
],
""dimensions"": ""SQUARE"",
""speed"": ""fast""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/midjourney/generations/blend";
const char *payload = "{"
"\"image_urls\":[\"https://example.com/a.png\",\"https://example.com/b.png\"],"
"\"dimensions\":\"SQUARE\","
"\"speed\":\"fast\""
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/midjourney/generations/blend"];
NSDictionary *payload = @{
@"image_urls": @[
@"https://example.com/a.png",
@"https://example.com/b.png",
],
@"dimensions": @"SQUARE",
@"speed": @"fast",
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/midjourney/generations/blend"
let payload = {|{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/midjourney/generations/blend');
final payload = {
'image_urls': [
'https://example.com/a.png',
'https://example.com/b.png',
],
'dimensions': 'SQUARE',
'speed': 'fast',
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/midjourney/generations/blend"
payload <- list(
image_urls = list(
"https://example.com/a.png",
"https://example.com/b.png"
),
dimensions = "SQUARE",
speed = "fast"
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01KV52C0TEJSYZMCG0NCS4YWKK"
}
]
}
{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "Access forbidden. You don't have permission to access this resource",
"type": "permission_error"
}
}
{
"error": {
"code": 404,
"message": "Task not found",
"type": "not_found_error"
}
}
{
"error": {
"code": 422,
"message": "Image or prompt failed content moderation; automatically refunded",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "Bad gateway. The server is temporarily unavailable",
"type": "bad_gateway"
}
}
Midjourney
Blend (multi-image blend)
Blend 2–4 images into a new image (the classic MJ blend); image-only, no prompt supported
POST
/
v1
/
midjourney
/
generations
/
blend
curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/blend \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/blend"
payload = {
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/midjourney/generations/blend";
const payload = {
image_urls: [
"https://example.com/a.png",
"https://example.com/b.png"
],
dimensions: "SQUARE",
speed: "fast"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/midjourney/generations/blend"
payload := map[string]interface{}{
"image_urls": []string{
"https://example.com/a.png",
"https://example.com/b.png",
},
"dimensions": "SQUARE",
"speed": "fast",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.apimart.ai/v1/midjourney/generations/blend";
String payload = """
{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/midjourney/generations/blend";
$payload = [
"image_urls" => [
"https://example.com/a.png",
"https://example.com/b.png",
],
"dimensions" => "SQUARE",
"speed" => "fast",
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/midjourney/generations/blend")
payload = {
image_urls: [
"https://example.com/a.png",
"https://example.com/b.png",
],
dimensions: "SQUARE",
speed: "fast",
}
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 = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/midjourney/generations/blend")!
let payload: [String: Any] = [
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png",
],
"dimensions": "SQUARE",
"speed": "fast",
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/midjourney/generations/blend";
var payload = @"{
""image_urls"": [
""https://example.com/a.png"",
""https://example.com/b.png""
],
""dimensions"": ""SQUARE"",
""speed"": ""fast""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/midjourney/generations/blend";
const char *payload = "{"
"\"image_urls\":[\"https://example.com/a.png\",\"https://example.com/b.png\"],"
"\"dimensions\":\"SQUARE\","
"\"speed\":\"fast\""
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/midjourney/generations/blend"];
NSDictionary *payload = @{
@"image_urls": @[
@"https://example.com/a.png",
@"https://example.com/b.png",
],
@"dimensions": @"SQUARE",
@"speed": @"fast",
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/midjourney/generations/blend"
let payload = {|{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/midjourney/generations/blend');
final payload = {
'image_urls': [
'https://example.com/a.png',
'https://example.com/b.png',
],
'dimensions': 'SQUARE',
'speed': 'fast',
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/midjourney/generations/blend"
payload <- list(
image_urls = list(
"https://example.com/a.png",
"https://example.com/b.png"
),
dimensions = "SQUARE",
speed = "fast"
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01KV52C0TEJSYZMCG0NCS4YWKK"
}
]
}
{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "Access forbidden. You don't have permission to access this resource",
"type": "permission_error"
}
}
{
"error": {
"code": 404,
"message": "Task not found",
"type": "not_found_error"
}
}
{
"error": {
"code": 422,
"message": "Image or prompt failed content moderation; automatically refunded",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "Bad gateway. The server is temporarily unavailable",
"type": "bad_gateway"
}
}
curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/blend \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/blend"
payload = {
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.apimart.ai/v1/midjourney/generations/blend";
const payload = {
image_urls: [
"https://example.com/a.png",
"https://example.com/b.png"
],
dimensions: "SQUARE",
speed: "fast"
};
const headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
};
fetch(url, {
method: "POST",
headers: headers,
body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));
package main
import (
"bytes"
"encoding/json"
"fmt"
"io/ioutil"
"net/http"
)
func main() {
url := "https://api.apimart.ai/v1/midjourney/generations/blend"
payload := map[string]interface{}{
"image_urls": []string{
"https://example.com/a.png",
"https://example.com/b.png",
},
"dimensions": "SQUARE",
"speed": "fast",
}
jsonData, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
req.Header.Set("Authorization", "Bearer <token>")
req.Header.Set("Content-Type", "application/json")
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
panic(err)
}
defer resp.Body.Close()
body, _ := ioutil.ReadAll(resp.Body)
fmt.Println(string(body))
}
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;
public class Main {
public static void main(String[] args) throws Exception {
String url = "https://api.apimart.ai/v1/midjourney/generations/blend";
String payload = """
{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
""";
HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create(url))
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.POST(HttpRequest.BodyPublishers.ofString(payload))
.build();
HttpResponse<String> response = client.send(request,
HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());
}
}
<?php
$url = "https://api.apimart.ai/v1/midjourney/generations/blend";
$payload = [
"image_urls" => [
"https://example.com/a.png",
"https://example.com/b.png",
],
"dimensions" => "SQUARE",
"speed" => "fast",
];
$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
"Authorization: Bearer <token>",
"Content-Type: application/json"
]);
$response = curl_exec($ch);
curl_close($ch);
echo $response;
?>
require 'net/http'
require 'json'
require 'uri'
url = URI("https://api.apimart.ai/v1/midjourney/generations/blend")
payload = {
image_urls: [
"https://example.com/a.png",
"https://example.com/b.png",
],
dimensions: "SQUARE",
speed: "fast",
}
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 = payload.to_json
response = http.request(request)
puts response.body
import Foundation
let url = URL(string: "https://api.apimart.ai/v1/midjourney/generations/blend")!
let payload: [String: Any] = [
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png",
],
"dimensions": "SQUARE",
"speed": "fast",
]
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)
let task = URLSession.shared.dataTask(with: request) { data, response, error in
if let error = error {
print("Error: \(error)")
return
}
if let data = data, let responseString = String(data: data, encoding: .utf8) {
print(responseString)
}
}
task.resume()
using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
class Program
{
static async Task Main(string[] args)
{
var url = "https://api.apimart.ai/v1/midjourney/generations/blend";
var payload = @"{
""image_urls"": [
""https://example.com/a.png"",
""https://example.com/b.png""
],
""dimensions"": ""SQUARE"",
""speed"": ""fast""
}";
using var client = new HttpClient();
client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");
var content = new StringContent(payload, Encoding.UTF8, "application/json");
var response = await client.PostAsync(url, content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/midjourney/generations/blend";
const char *payload = "{"
"\"image_urls\":[\"https://example.com/a.png\",\"https://example.com/b.png\"],"
"\"dimensions\":\"SQUARE\","
"\"speed\":\"fast\""
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/midjourney/generations/blend"];
NSDictionary *payload = @{
@"image_urls": @[
@"https://example.com/a.png",
@"https://example.com/b.png",
],
@"dimensions": @"SQUARE",
@"speed": @"fast",
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/midjourney/generations/blend"
let payload = {|{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/midjourney/generations/blend');
final payload = {
'image_urls': [
'https://example.com/a.png',
'https://example.com/b.png',
],
'dimensions': 'SQUARE',
'speed': 'fast',
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/midjourney/generations/blend"
payload <- list(
image_urls = list(
"https://example.com/a.png",
"https://example.com/b.png"
),
dimensions = "SQUARE",
speed = "fast"
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01KV52C0TEJSYZMCG0NCS4YWKK"
}
]
}
{
"error": {
"code": 400,
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "Invalid authentication credentials",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "Insufficient balance. Please top up your account",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "Access forbidden. You don't have permission to access this resource",
"type": "permission_error"
}
}
{
"error": {
"code": 404,
"message": "Task not found",
"type": "not_found_error"
}
}
{
"error": {
"code": 422,
"message": "Image or prompt failed content moderation; automatically refunded",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 429,
"message": "Rate limit exceeded. Please try again later",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "Internal server error. Please try again later",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "Bad gateway. The server is temporarily unavailable",
"type": "bad_gateway"
}
}
| Item | Value |
|---|---|
| action | BLEND |
| Billing | midjourney@blend[-speed] |
| Required | image_urls (2–4 images) |
Parameters
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
image_urls | string[] | Yes | — | Source images, 2–4; auto-converted to base64; each ≤ 12 MiB |
dimensions | string | No | SQUARE | Three aspect presets: SQUARE (1:1) / PORTRAIT (2:3) / LANDSCAPE (3:2); overridden when size is set |
size | string | No | — | Free aspect ratio, any w:h (e.g. "16:9", "9:16", "21:9"); takes priority over dimensions, applied as the aspect ratio |
speed | string | No | relax | relax / fast / turbo |
metadata | object | No | — | Custom metadata |
Request examples
Preset aspect (dimensions):
{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"dimensions": "SQUARE",
"speed": "fast"
}
size):
{
"image_urls": [
"https://example.com/a.png",
"https://example.com/b.png"
],
"size": "16:9",
"speed": "fast"
}
The final prompt ends with --ar 16:9.
Notes
- Aspect priority:
size(free) >dimensions(presets) > defaultSQUARE. - Fewer than 2 or more than 4
image_urlsreturns400. blendhas no independent version parameter. To price by speed, configuremidjourney@blend-fast/midjourney@blend-turbo.
⌘I