Midjourney V7 팬(확장)
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "mj-v7-pan",
"model_params": {
"task_id": "task-unified-xxx",
"image_number": 0,
"direction": "right",
"scale": 2
}
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "mj-v7-pan",
"model_params": {
"task_id": "task-unified-xxx",
"image_number": 0,
"direction": "right",
"scale": 2
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'mj-v7-pan',
model_params: {task_id: 'task-unified-xxx', image_number: 0, direction: 'right', scale: 2}
})
};
fetch('https://api.evolink.ai/v1/images/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.evolink.ai/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'mj-v7-pan',
'model_params' => [
'task_id' => 'task-unified-xxx',
'image_number' => 0,
'direction' => 'right',
'scale' => 2
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.evolink.ai/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"mj-v7-pan\",\n \"model_params\": {\n \"task_id\": \"task-unified-xxx\",\n \"image_number\": 0,\n \"direction\": \"right\",\n \"scale\": 2\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.evolink.ai/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"mj-v7-pan\",\n \"model_params\": {\n \"task_id\": \"task-unified-xxx\",\n \"image_number\": 0,\n \"direction\": \"right\",\n \"scale\": 2\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"mj-v7-pan\",\n \"model_params\": {\n \"task_id\": \"task-unified-xxx\",\n \"image_number\": 0,\n \"direction\": \"right\",\n \"scale\": 2\n }\n}"
response = http.request(request)
puts response.read_body{
"created": 1757165031,
"id": "task-unified-1757165031-mjv7",
"model": "<string>",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": true,
"estimated_time": 45
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 1.8,
"user_group": "default"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}Midjourney V7
Midjourney V7 팬
POST
/
v1
/
images
/
generations
Midjourney V7 팬(확장)
curl --request POST \
--url https://api.evolink.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "mj-v7-pan",
"model_params": {
"task_id": "task-unified-xxx",
"image_number": 0,
"direction": "right",
"scale": 2
}
}
'import requests
url = "https://api.evolink.ai/v1/images/generations"
payload = {
"model": "mj-v7-pan",
"model_params": {
"task_id": "task-unified-xxx",
"image_number": 0,
"direction": "right",
"scale": 2
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'mj-v7-pan',
model_params: {task_id: 'task-unified-xxx', image_number: 0, direction: 'right', scale: 2}
})
};
fetch('https://api.evolink.ai/v1/images/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.evolink.ai/v1/images/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'mj-v7-pan',
'model_params' => [
'task_id' => 'task-unified-xxx',
'image_number' => 0,
'direction' => 'right',
'scale' => 2
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.evolink.ai/v1/images/generations"
payload := strings.NewReader("{\n \"model\": \"mj-v7-pan\",\n \"model_params\": {\n \"task_id\": \"task-unified-xxx\",\n \"image_number\": 0,\n \"direction\": \"right\",\n \"scale\": 2\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.evolink.ai/v1/images/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"mj-v7-pan\",\n \"model_params\": {\n \"task_id\": \"task-unified-xxx\",\n \"image_number\": 0,\n \"direction\": \"right\",\n \"scale\": 2\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/v1/images/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"mj-v7-pan\",\n \"model_params\": {\n \"task_id\": \"task-unified-xxx\",\n \"image_number\": 0,\n \"direction\": \"right\",\n \"scale\": 2\n }\n}"
response = http.request(request)
puts response.read_body{
"created": 1757165031,
"id": "task-unified-1757165031-mjv7",
"model": "<string>",
"object": "image.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": true,
"estimated_time": 45
},
"type": "image",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 1.8,
"user_group": "default"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}{
"error": {
"code": "<string>",
"message": "<string>",
"type": "<string>"
}
}Midjourney에는 콘텐츠 검토 시스템이 내장되어 있습니다. 생성된 이미지 중 일부가 검토에 의해 필터링된 경우, 해당 요청에서 소비된 크레딧은 환불되지 않습니다. 프롬프트가 콘텐츠 가이드라인을 준수하는지 확인해 주세요.
인증
##모든 인터페이스는 Bearer Token 인증이 필요합니다##
API Key 발급:
API Key 관리 페이지에서 API Key를 발급받으세요
요청 헤더에 다음을 추가하세요:
Authorization: Bearer YOUR_API_KEY본문
application/json
응답
작업 생성 성공
작업 생성 타임스탬프
예시:
1757165031
작업 ID
예시:
"task-unified-1757165031-mjv7"
실제 사용된 모델 이름
작업 유형
사용 가능한 옵션:
image.generation.task 작업 진행률 (0-100)
필수 범위:
0 <= x <= 100예시:
0
작업 상태
사용 가능한 옵션:
pending, processing, completed, failed 예시:
"pending"
Show child attributes
Show child attributes
사용 가능한 옵션:
text, image, audio, video 예시:
"image"
Show child attributes
Show child attributes
⌘I