curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/modal \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/modal"
payload = {
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
const payload = {
task_id: "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt: "replace the selected area with a red leather sofa",
mask_url: "https://example.com/mask.png",
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/modal"
payload := map[string]interface{}{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
String payload = """
{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
$payload = [
"task_id" => "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt" => "replace the selected area with a red leather sofa",
"mask_url" => "https://example.com/mask.png",
"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/modal")
payload = {
task_id: "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt: "replace the selected area with a red leather sofa",
mask_url: "https://example.com/mask.png",
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/modal")!
let payload: [String: Any] = [
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
var payload = @"{
""task_id"": ""task_01KQW1N9T6E3AHW6QZFDEK8M5C"",
""prompt"": ""replace the selected area with a red leather sofa"",
""mask_url"": ""https://example.com/mask.png"",
""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/modal";
const char *payload = "{"
"\"task_id\":\"task_01KQW1N9T6E3AHW6QZFDEK8M5C\","
"\"prompt\":\"replace the selected area with a red leather sofa\","
"\"mask_url\":\"https://example.com/mask.png\","
"\"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/modal"];
NSDictionary *payload = @{
@"task_id": @"task_01KQW1N9T6E3AHW6QZFDEK8M5C",
@"prompt": @"replace the selected area with a red leather sofa",
@"mask_url": @"https://example.com/mask.png",
@"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/modal"
let payload = {|{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal');
final payload = {
'task_id': 'task_01KQW1N9T6E3AHW6QZFDEK8M5C',
'prompt': 'replace the selected area with a red leather sofa',
'mask_url': 'https://example.com/mask.png',
'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/modal"
payload <- list(
task_id = "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt = "replace the selected area with a red leather sofa",
mask_url = "https://example.com/mask.png",
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
Modal (submit parameters)
Supply mask + prompt to complete a MODAL-state inpaint task
POST
/
v1
/
midjourney
/
generations
/
modal
curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/modal \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/modal"
payload = {
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
const payload = {
task_id: "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt: "replace the selected area with a red leather sofa",
mask_url: "https://example.com/mask.png",
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/modal"
payload := map[string]interface{}{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
String payload = """
{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
$payload = [
"task_id" => "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt" => "replace the selected area with a red leather sofa",
"mask_url" => "https://example.com/mask.png",
"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/modal")
payload = {
task_id: "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt: "replace the selected area with a red leather sofa",
mask_url: "https://example.com/mask.png",
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/modal")!
let payload: [String: Any] = [
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
var payload = @"{
""task_id"": ""task_01KQW1N9T6E3AHW6QZFDEK8M5C"",
""prompt"": ""replace the selected area with a red leather sofa"",
""mask_url"": ""https://example.com/mask.png"",
""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/modal";
const char *payload = "{"
"\"task_id\":\"task_01KQW1N9T6E3AHW6QZFDEK8M5C\","
"\"prompt\":\"replace the selected area with a red leather sofa\","
"\"mask_url\":\"https://example.com/mask.png\","
"\"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/modal"];
NSDictionary *payload = @{
@"task_id": @"task_01KQW1N9T6E3AHW6QZFDEK8M5C",
@"prompt": @"replace the selected area with a red leather sofa",
@"mask_url": @"https://example.com/mask.png",
@"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/modal"
let payload = {|{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal');
final payload = {
'task_id': 'task_01KQW1N9T6E3AHW6QZFDEK8M5C',
'prompt': 'replace the selected area with a red leather sofa',
'mask_url': 'https://example.com/mask.png',
'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/modal"
payload <- list(
task_id = "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt = "replace the selected area with a red leather sofa",
mask_url = "https://example.com/mask.png",
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/modal \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/modal"
payload = {
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
const payload = {
task_id: "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt: "replace the selected area with a red leather sofa",
mask_url: "https://example.com/mask.png",
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/modal"
payload := map[string]interface{}{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
String payload = """
{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
$payload = [
"task_id" => "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt" => "replace the selected area with a red leather sofa",
"mask_url" => "https://example.com/mask.png",
"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/modal")
payload = {
task_id: "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt: "replace the selected area with a red leather sofa",
mask_url: "https://example.com/mask.png",
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/modal")!
let payload: [String: Any] = [
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal";
var payload = @"{
""task_id"": ""task_01KQW1N9T6E3AHW6QZFDEK8M5C"",
""prompt"": ""replace the selected area with a red leather sofa"",
""mask_url"": ""https://example.com/mask.png"",
""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/modal";
const char *payload = "{"
"\"task_id\":\"task_01KQW1N9T6E3AHW6QZFDEK8M5C\","
"\"prompt\":\"replace the selected area with a red leather sofa\","
"\"mask_url\":\"https://example.com/mask.png\","
"\"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/modal"];
NSDictionary *payload = @{
@"task_id": @"task_01KQW1N9T6E3AHW6QZFDEK8M5C",
@"prompt": @"replace the selected area with a red leather sofa",
@"mask_url": @"https://example.com/mask.png",
@"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/modal"
let payload = {|{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"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/modal');
final payload = {
'task_id': 'task_01KQW1N9T6E3AHW6QZFDEK8M5C',
'prompt': 'replace the selected area with a red leather sofa',
'mask_url': 'https://example.com/mask.png',
'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/modal"
payload <- list(
task_id = "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
prompt = "replace the selected area with a red leather sofa",
mask_url = "https://example.com/mask.png",
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"
}
}
mask_url is present: with mask_url → inpaint (local repaint); without → outpaint (expand).
| Item | Value |
|---|---|
| action | MODAL |
| Billing | midjourney@modal[-speed] |
| Required | task_id |
| Optional | prompt, mask_url, speed, metadata |
Parameters
| Field | Description |
|---|---|
task_id | Local task id returned by the inpaint step (must be in MODAL state) |
prompt | Inpaint prompt; if empty, inherits the parent task’s prompt |
mask_url | Mask image URL or base64; required for inpaint (local repaint). White = the area to repaint, transparent = keep the original |
speed | relax / fast / turbo |
metadata | Optional custom metadata |
Mask requirements
| Item | Recommendation |
|---|---|
| Format | PNG with transparent background (also accepts data:image/png;base64,...) |
| Resolution | Preferably same as the parent image (the system also auto-resizes) |
| White area | The area to repaint; transparent areas keep the original |
| Size | ≤ 12 MiB per image |
| URL | Must be publicly reachable (private addresses are blocked by SSRF) |
Request example
{
"task_id": "task_01KQW1N9T6E3AHW6QZFDEK8M5C",
"prompt": "replace the selected area with a red leather sofa",
"mask_url": "https://example.com/mask.png",
"speed": "fast"
}
Response
Thetask_id stays the same (same task); its status goes from MODAL → SUBMITTED. Poll GET /v1/tasks/{task_id}; on SUCCESS image_urls holds 4 inpaint candidates. Billing settles on this endpoint’s SUCCESS and is not double-charged with the inpaint step.
To price by speed, configure midjourney@modal-fast / midjourney@modal-turbo.⌘I