curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/upscale \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/upscale"
payload = {
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
const payload = {
task_id: "task_01KQVZAPBW13W63DQNQZT7FCQK",
index: 1,
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/upscale"
payload := map[string]interface{}{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
String payload = """
{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
$payload = [
"task_id" => "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index" => 1,
"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/upscale")
payload = {
task_id: "task_01KQVZAPBW13W63DQNQZT7FCQK",
index: 1,
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/upscale")!
let payload: [String: Any] = [
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
var payload = @"{
""task_id"": ""task_01KQVZAPBW13W63DQNQZT7FCQK"",
""index"": 1,
""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/upscale";
const char *payload = "{"
"\"task_id\":\"task_01KQVZAPBW13W63DQNQZT7FCQK\","
"\"index\":1,"
"\"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/upscale"];
NSDictionary *payload = @{
@"task_id": @"task_01KQVZAPBW13W63DQNQZT7FCQK",
@"index": @1,
@"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/upscale"
let payload = {|{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale');
final payload = {
'task_id': 'task_01KQVZAPBW13W63DQNQZT7FCQK',
'index': 1,
'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/upscale"
payload <- list(
task_id = "task_01KQVZAPBW13W63DQNQZT7FCQK",
index = 1,
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": 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
Upscale (agrandir une tuile)
Sélectionne l’une des tuiles U1–U4 d’une grille Imagine pour obtenir une image individuelle. Composition locale, généralement instantané
POST
/
v1
/
midjourney
/
generations
/
upscale
curl --request POST \
--url https://api.apimart.ai/v1/midjourney/generations/upscale \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/upscale"
payload = {
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
const payload = {
task_id: "task_01KQVZAPBW13W63DQNQZT7FCQK",
index: 1,
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/upscale"
payload := map[string]interface{}{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
String payload = """
{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
$payload = [
"task_id" => "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index" => 1,
"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/upscale")
payload = {
task_id: "task_01KQVZAPBW13W63DQNQZT7FCQK",
index: 1,
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/upscale")!
let payload: [String: Any] = [
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
var payload = @"{
""task_id"": ""task_01KQVZAPBW13W63DQNQZT7FCQK"",
""index"": 1,
""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/upscale";
const char *payload = "{"
"\"task_id\":\"task_01KQVZAPBW13W63DQNQZT7FCQK\","
"\"index\":1,"
"\"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/upscale"];
NSDictionary *payload = @{
@"task_id": @"task_01KQVZAPBW13W63DQNQZT7FCQK",
@"index": @1,
@"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/upscale"
let payload = {|{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale');
final payload = {
'task_id': 'task_01KQVZAPBW13W63DQNQZT7FCQK',
'index': 1,
'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/upscale"
payload <- list(
task_id = "task_01KQVZAPBW13W63DQNQZT7FCQK",
index = 1,
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": 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/upscale \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"speed": "fast"
}'
import requests
url = "https://api.apimart.ai/v1/midjourney/generations/upscale"
payload = {
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
const payload = {
task_id: "task_01KQVZAPBW13W63DQNQZT7FCQK",
index: 1,
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/upscale"
payload := map[string]interface{}{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
String payload = """
{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
$payload = [
"task_id" => "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index" => 1,
"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/upscale")
payload = {
task_id: "task_01KQVZAPBW13W63DQNQZT7FCQK",
index: 1,
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/upscale")!
let payload: [String: Any] = [
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale";
var payload = @"{
""task_id"": ""task_01KQVZAPBW13W63DQNQZT7FCQK"",
""index"": 1,
""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/upscale";
const char *payload = "{"
"\"task_id\":\"task_01KQVZAPBW13W63DQNQZT7FCQK\","
"\"index\":1,"
"\"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/upscale"];
NSDictionary *payload = @{
@"task_id": @"task_01KQVZAPBW13W63DQNQZT7FCQK",
@"index": @1,
@"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/upscale"
let payload = {|{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"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/upscale');
final payload = {
'task_id': 'task_01KQVZAPBW13W63DQNQZT7FCQK',
'index': 1,
'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/upscale"
payload <- list(
task_id = "task_01KQVZAPBW13W63DQNQZT7FCQK",
index = 1,
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": 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"
}
}
grid_image_url) pour obtenir une image individuelle. Réalisé en découpant à partir des 4 images existantes ; composition locale, généralement instantané.
| Item | Valeur |
|---|---|
| action | UPSCALE |
| Facturation | midjourney@upscale[-version][-speed] |
| Requis | task_id + index, ou task_id + custom_id |
| Optionnel | speed, metadata |
Paramètres
| Champ | Type | Description |
|---|---|---|
task_id | string | ID de la tâche parente (doit être un imagine / variation / reroll, etc. en SUCCESS) |
index | int | Quelle image (U1–U4), plage 1–4 ; l’un de index / custom_id |
custom_id | string | Passez directement l’ID du bouton de l’action correspondante ; l’un de index / custom_id ; lorsqu’il est défini, le matching par index est ignoré |
speed | string | relax / fast / turbo (sans effet, car composé localement) |
metadata | object | Métadonnées personnalisées |
Exemples de requête
Parindex :
{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"index": 1,
"speed": "fast"
}
{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"custom_id": "MJ::JOB::upsample::1::xxxx"
}
Réponse
L’envoi renvoie un nouveautask_id, généralement SUCCESS en quelques millisecondes. En cas de SUCCESS, image_urls contient un seul élément (une image), et buttons contient les actions de suivi (zoom / inpaint / pan / variation, etc.).
Notes
- La tâche parente doit être en état SUCCESS, sinon elle renvoie
400(task is not in SUCCESS state). indexdoit être1–4; hors plage renvoie400.custom_idetindexsont mutuellement exclusifs ; si les deux sont passés,custom_idl’emporte.- L’étape consommatrice de ressources est imagine ; upscale ne fait que choisir parmi les images existantes et échoue rarement.
- L’image individuelle après upscale peut continuer avec Zoom / Inpaint / Variation.
HD upscale (agrandissement haute définition, image 2x individuelle en sortie)
L’upscale ordinaire repose sur une composition locale — il découpe l’une des 4 images déjà présentes dans la tâche parente et renvoie le résultat instantanément. Si vous comptez ensuite effectuer des opérations fines comme zoom / inpaint sur l’image individuelle, il est recommandé d’utiliser plutôt le HD upscale : il réalise un agrandissement réel et produit une image individuelle 2x haute définition, en environ 60–120 s ; l’image obtenue prend en charge de manière plus stable les opérations zoom / inpaint ultérieures. Le HD upscale précise la commande d’agrandissement viacustom_id ; chaque version d’imagine correspond à une commande différente :
| Commande customId | Version applicable |
|---|---|
upsample_v5_2x | v5 imagine |
upsample_v5_4x | v5 imagine |
upsample_v6_2x_subtle | v6 / v6.1 imagine |
upsample_v6_2x_creative | v6 / v6.1 imagine |
upsample_v7_2x_subtle | v7 / v8.1 imagine |
upsample_v7_2x_creative | v7 / v8.1 imagine |
Exemple de HD upscale
{
"task_id": "task_01KQVZAPBW13W63DQNQZT7FCQK",
"custom_id": "MJ::JOB::upsample_v7_2x_subtle::1::xxxx"
}
Comparaison avec l’upscale ordinaire
| Dimension | Upscale ordinaire | HD upscale |
|---|---|---|
| Implémentation | Composition locale (découpage) | Traitement d’agrandissement réel |
| Durée | De l’ordre de la milliseconde | Environ 60–120 s |
| Sortie | La N-ième des 4 images | Image individuelle 2x haute définition |
| Suite | zoom / inpaint / variation | zoom / inpaint plus stables |
⚠️ pan toujours indisponible
Même pour une image individuelle haute définition issue d’un HD upscale, l’opération pan reste refusée (renvoie « requête de génération d’image invalide ») — il s’agit d’une limitation de Midjourney sur l’opération pan elle-même, indépendante de la méthode d’agrandissement. Voir Pan.⌘I