Fetch(查询任务)
curl --request GET \
--url https://openp.ai/mj/task/{id}/fetchimport requests
url = "https://openp.ai/mj/task/{id}/fetch"
response = requests.get(url)
print(response.text)const options = {method: 'GET'};
fetch('https://openp.ai/mj/task/{id}/fetch', 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://openp.ai/mj/task/{id}/fetch",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://openp.ai/mj/task/{id}/fetch"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://openp.ai/mj/task/{id}/fetch")
.asString();require 'uri'
require 'net/http'
url = URI("https://openp.ai/mj/task/{id}/fetch")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
response = http.request(request)
puts response.read_body视频与图像生成
Fetch(查询任务)
GET /mj/task//fetch —— 轮询 Midjourney 任务状态
GET
/
mj
/
task
/
{id}
/
fetch
Fetch(查询任务)
curl --request GET \
--url https://openp.ai/mj/task/{id}/fetchimport requests
url = "https://openp.ai/mj/task/{id}/fetch"
response = requests.get(url)
print(response.text)const options = {method: 'GET'};
fetch('https://openp.ai/mj/task/{id}/fetch', 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://openp.ai/mj/task/{id}/fetch",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://openp.ai/mj/task/{id}/fetch"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://openp.ai/mj/task/{id}/fetch")
.asString();require 'uri'
require 'net/http'
url = URI("https://openp.ai/mj/task/{id}/fetch")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
response = http.request(request)
puts response.read_body获取 Midjourney 任务的当前状态、进度与结果图链接。
返回任务对象数组,可减少轮询请求次数。
请求
curl https://openp.ai/mj/task/1737200000000000/fetch \
-H "Authorization: Bearer $OPENPAI_API_KEY"
响应
{
"id": "1737200000000000",
"action": "IMAGINE",
"status": "SUCCESS",
"progress": "100%",
"prompt": "A futuristic cyberpunk city at night",
"promptEn": "A futuristic cyberpunk city at night, neon lights, --ar 16:9 --v 6",
"description": "Submit success",
"submitTime": 1715750400000,
"startTime": 1715750405000,
"finishTime": 1715750460000,
"imageUrl": "https://...",
"failReason": null,
"properties": {
"finalPrompt": "A futuristic cyberpunk city...",
"messageId": "...",
"discordChannelId": "..."
},
"buttons": [
{"customId": "MJ::JOB::upsample::1::...", "emoji": "", "label": "U1", "style": 2, "type": 2},
{"customId": "MJ::JOB::variation::1::...", "emoji": "", "label": "V1", "style": 2, "type": 2}
]
}
status 取值
| 值 | 含义 |
|---|---|
NOT_START | 尚未开始 |
SUBMITTED | 已提交,等待上游 |
IN_PROGRESS | 生成中(看 progress 字段) |
SUCCESS | 成功 |
FAILURE | 失败 |
buttons
Midjourney 任务完成后,Discord 上可点击的按钮(U1-U4、V1-V4、🔄)以buttons 数组形式回传。
若需要执行某个按钮对应的操作,可用 change + customId。
批量查询
curl -X POST https://openp.ai/mj/task/list-by-condition \
-H "Authorization: Bearer $OPENPAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "ids": ["task1", "task2", "task3"] }'
回调 vs 轮询
- 回调(notifyHook):任务状态变更时 OpenPAI 主动 POST 到你的服务,生产推荐。
- 轮询(fetch):简单,但有延迟,适合本地脚本。
{
"id": "1737200000000000",
"action": "IMAGINE",
"status": "SUCCESS",
"imageUrl": "https://...",
"state": "<提交时传入的 state 透传>"
}
⌘I