Midjourney 分页批量查询任务

通过分页的形式批量查询您账号下的所有Mj任务

注：
分页一种常见的数据查询方式，指的是在查询数据时，将查询结果分成多个页面显示，每个页面包含一定数量的数据。
即假设现在有10000条数据，如果一次性查询并返回所有的话不符合最佳实践，此时我们可以请求服务端按照每页12个+请求第一页来实现拿到最新一页的数据，然后服务端会返回第一页的数据并告知总数据量有多少。

请求参数

Authorization

在 Header 添加参数

Authorization

，其值为在 Bearer 之后拼接 Token

示例：

Authorization: Bearer ********************

Query 参数

page

number

页标 [1,+∞]

可选

示例值:

pageSize

number

可选

页面大小 [5~20]

示例值:

Body 参数application/x-www-form-urlencoded

model

string

必需

模型名称，目前只能填写midjourney，用于密钥权限控制

示例值:

midjourney

返回响应

🟢200成功

application/json

Body

statusCode

integer

必需

message

string

必需

data

object

必需

total

integer

Mj任务总数目

必需

tasks

array [object {15}]

分页查询结果

必需

示例

成功示例成功示例

{
  "statusCode": 200,
  "message": "Success",
  "data": {
    "taskId": 20,
    "taskType": "NORMAL",
    "status": "SUCCESS",
    "action": "IMAGINE",
    "progress": "100%",
    "description": "/imagine chibi manga legend of vader anime vh1, in the style of miho hirano, dynamic and action-packed scenes, gaston bussière, chinese new year festivities, ross tran, charming character illustrations, light red and bronze --ar 73:88 --s 750 --niji 5",
    "prompt": "chibi manga legend of vader anime vh1, in the style of miho hirano, dynamic and action-packed scenes, gaston bussière, chinese new year festivities, ross tran, charming character illustrations, light red and bronze --ar 73:88 --s 750 --niji 5",
    "failReason": null,
    "submitTime": "2023-08-31T13:59:14.000Z",
    "startTime": "2023-08-31T13:59:14.000Z",
    "finishTime": "2023-08-31T13:59:50.000Z",
    "webhookUrl": "https://webhook.site/9adf49d8-14c3-4270-b83e-25a9e93bcb40",
    "imageDcUrl": "https://cdn.discordapp.com/attachments/1136958712796430388/1146806560803262575/gpg4win_45703_chibi_manga_legend_of_vader_anime_vh1_in_the_styl_0b33153d-f3c4-486b-9b4a-2f0f0ae6a355.png",
    "imageS3Url": null,
    "actions": [
      {
        "customId": "MJ::JOB::upsample::1::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "U1"
      },
      {
        "customId": "MJ::JOB::upsample::2::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "U2"
      },
      {
        "customId": "MJ::JOB::upsample::3::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "U3"
      },
      {
        "customId": "MJ::JOB::upsample::4::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "U4"
      },
      {
        "customId": "MJ::JOB::reroll::0::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355::SOLO",
        "emoji": "🔄",
        "label": ""
      },
      {
        "customId": "MJ::JOB::variation::1::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "V1"
      },
      {
        "customId": "MJ::JOB::variation::2::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "V2"
      },
      {
        "customId": "MJ::JOB::variation::3::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "V3"
      },
      {
        "customId": "MJ::JOB::variation::4::0b33153d-f3c4-486b-9b4a-2f0f0ae6a355",
        "emoji": "",
        "label": "V4"
      }
    ]
  }
}

请求参数

示例代码

返回响应