zf-kbot/md-me-qwen-l40s | API reference

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41.4K runs

Run zf-kbot/md-me-qwen-l40s with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field	Type	Default value	Description
apikey	string		API 密钥
input_image	string		输入图片
ref_image	string		参考图片（双图编辑模式时使用）
prompt	string	修复破损、污渍、划痕	提示词
megapixels	number	1 Min: 0.5 Max: 1.5	目标百万像素，单图建议1.0；双图建议0.8
aspect_ratio	None	default	出图比例
result_resolution	None	0	出图分辨率, 0=1K, 1=2K
file_format	None	png	输出格式

{
  "type": "object",
  "title": "Input",
  "required": [
    "input_image"
  ],
  "properties": {
    "apikey": {
      "type": "string",
      "title": "Apikey",
      "default": "",
      "x-order": 0,
      "description": "API \u5bc6\u94a5"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "\u4fee\u590d\u7834\u635f\u3001\u6c61\u6e0d\u3001\u5212\u75d5",
      "x-order": 3,
      "description": "\u63d0\u793a\u8bcd"
    },
    "ref_image": {
      "type": "string",
      "title": "Ref Image",
      "format": "uri",
      "x-order": 2,
      "nullable": true,
      "description": "\u53c2\u8003\u56fe\u7247\uff08\u53cc\u56fe\u7f16\u8f91\u6a21\u5f0f\u65f6\u4f7f\u7528\uff09"
    },
    "megapixels": {
      "type": "number",
      "title": "Megapixels",
      "default": 1,
      "maximum": 1.5,
      "minimum": 0.5,
      "x-order": 4,
      "description": "\u76ee\u6807\u767e\u4e07\u50cf\u7d20\uff0c\u5355\u56fe\u5efa\u8bae1.0\uff1b\u53cc\u56fe\u5efa\u8bae0.8"
    },
    "file_format": {
      "enum": [
        "png",
        "jpg"
      ],
      "type": "string",
      "title": "file_format",
      "description": "\u8f93\u51fa\u683c\u5f0f",
      "default": "png",
      "x-order": 7
    },
    "input_image": {
      "type": "string",
      "title": "Input Image",
      "format": "uri",
      "x-order": 1,
      "description": "\u8f93\u5165\u56fe\u7247"
    },
    "aspect_ratio": {
      "enum": [
        "default",
        "1:1",
        "3:2",
        "2:3",
        "4:3",
        "3:4",
        "16:9",
        "9:16",
        "21:9",
        "9:21"
      ],
      "type": "string",
      "title": "aspect_ratio",
      "description": "\u51fa\u56fe\u6bd4\u4f8b",
      "default": "default",
      "x-order": 5
    },
    "result_resolution": {
      "enum": [
        0,
        1
      ],
      "type": "integer",
      "title": "result_resolution",
      "description": "\u51fa\u56fe\u5206\u8fa8\u7387, 0=1K, 1=2K",
      "default": 0,
      "x-order": 6
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "array",
  "items": {
    "type": "string",
    "format": "uri"
  },
  "title": "Output"
}