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API 參考
API 參考

Midjourney 獲取種子

使用獲取種子端點，在同一回應中接收結果。

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01

概覽

使用獲取種子端點，並從同一回應中讀取結果。

快速入門

  1. 建立 API 金鑰並將其設定為 RUNAPI_API_KEY。
  2. 傳送主體符合請求 Schema 的 POST 請求。
  3. 從成功的回應主體中讀取結果。

端點

POST /api/v1/midjourney/get_seed
基礎 URL
https://runapi.ai
API 版本
v1
身份驗證
Authorization: Bearer YOUR_API_TOKEN
02

支援的模型

開啟模型頁面以查看當前定價、速率限制及商業用途詳情。

03

請求結構

JSON 內容

僅傳送此端點宣告的欄位。

請求主體1 個欄位
image_idstring
必填
04

成功回應

HTTP 200

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "billing": {
      "properties": {
        "refund": {
          "oneOf": [
            {
              "properties": {
                "refunded_at": {
                  "type": "string"
                }
              },
              "required": [
                "refunded_at"
              ],
              "type": "object",
              "unevaluatedProperties": false
            },
            {
              "enum": [
                null
              ]
            }
          ]
        },
        "reservation": {
          "oneOf": [
            {
              "properties": {
                "amount_cents": {
                  "type": "integer"
                }
              },
              "required": [
                "amount_cents"
              ],
              "type": "object",
              "unevaluatedProperties": false
            },
            {
              "enum": [
                null
              ]
            }
          ]
        },
        "settlement": {
          "oneOf": [
            {
              "properties": {
                "amount_micro_cents": {
                  "type": "integer"
                },
                "charged_amount_cents": {
                  "type": "integer"
                }
              },
              "required": [
                "charged_amount_cents",
                "amount_micro_cents"
              ],
              "type": "object",
              "unevaluatedProperties": false
            },
            {
              "enum": [
                null
              ]
            }
          ]
        }
      },
      "required": [
        "reservation",
        "settlement",
        "refund"
      ],
      "type": "object",
      "unevaluatedProperties": false
    },
    "seed": {
      "type": "integer"
    }
  },
  "required": [
    "seed",
    "billing"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "billing": {
    "refund": null,
    "reservation": null,
    "settlement": null
  },
  "seed": 8675309
}
05

錯誤

HTTP 401

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "Authentication required"
}
06

錯誤

HTTP 400

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "oneOf": [
    {
      "properties": {
        "error": {
          "description": "人類可讀的錯誤訊息。",
          "type": "string"
        }
      },
      "required": [
        "error"
      ],
      "type": "object",
      "unevaluatedProperties": false
    },
    {
      "properties": {
        "error": {
          "description": "人類可讀的驗證摘要。",
          "type": "string"
        },
        "errors": {
          "additionalProperties": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "description": "以公開請求欄位為鍵的驗證訊息，每個欄位對應一組人類可讀的字串陣列。",
          "type": "object"
        }
      },
      "required": [
        "error",
        "errors"
      ],
      "type": "object",
      "unevaluatedProperties": false
    }
  ]
}

回應範例

JSON 
{
  "error": "image_id is required"
}
07

錯誤

HTTP 402

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "Insufficient balance"
}
08

錯誤

HTTP 429

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "API key credit limit exceeded"
}
09

錯誤

HTTP 409

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "The request uses features that are not supported for the selected model"
}
10

錯誤

HTTP 429

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "Rate limit reached. Please retry later."
}
11

錯誤

HTTP 503

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "Service under maintenance, please try again later"
}
12

錯誤

HTTP 504

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "The request timed out"
}
13

錯誤

HTTP 404

POST /api/v1/midjourney/get_seed

回應結構
JSON 
{
  "properties": {
    "error": {
      "description": "人類可讀的錯誤訊息。",
      "type": "string"
    }
  },
  "required": [
    "error"
  ],
  "type": "object",
  "unevaluatedProperties": false
}

回應範例

JSON 
{
  "error": "Referenced image_id not found"
}
14

已生成的程式碼範例

直接使用 cURL，或為您的語言安裝 SDK。每個範例均提交本參考中所示的已驗證請求。

安裝

Shell 
pip install runapi-midjourney
PYTHON 
import os
from runapi.midjourney import MidjourneyClient

client = MidjourneyClient(api_key=os.environ["RUNAPI_API_KEY"])
result = client.get_seed.run(
  image_id="midjourney-image-123"
)