zf-kbot/md-me-klein-9b-l40s-1

Public

573.7K runs

Run zf-kbot/md-me-klein-9b-l40s-1 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
mode	None	remover	处理模式
input_image	string		输入图片
prompt	string		正向提示词
megapixels	number	0.8	目标百万像素,0表示保持原始分辨率
aspect_ratio	None	default	出图比例
color_match_switch	boolean		颜色匹配；未设置时 enhancer 默认开启，其余模式默认关闭
strength_model	number	0.1 Max: 1	LoRA强度
steps	integer	4 Min: 4 Max: 24	生成步数
file_format	None	jpg	输出图片格式

{
  "type": "object",
  "title": "Input",
  "properties": {
    "mode": {
      "enum": [
        "remover",
        "enhancer",
        "editor"
      ],
      "type": "string",
      "title": "mode",
      "description": "\u5904\u7406\u6a21\u5f0f",
      "default": "remover",
      "x-order": 1
    },
    "steps": {
      "type": "integer",
      "title": "Steps",
      "default": 4,
      "maximum": 24,
      "minimum": 4,
      "x-order": 8,
      "description": "\u751f\u6210\u6b65\u6570"
    },
    "apikey": {
      "type": "string",
      "title": "Apikey",
      "default": "",
      "x-order": 0,
      "description": "API \u5bc6\u94a5"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "",
      "x-order": 3,
      "description": "\u6b63\u5411\u63d0\u793a\u8bcd"
    },
    "megapixels": {
      "type": "number",
      "title": "Megapixels",
      "default": 0.8,
      "x-order": 4,
      "description": "\u76ee\u6807\u767e\u4e07\u50cf\u7d20,0\u8868\u793a\u4fdd\u6301\u539f\u59cb\u5206\u8fa8\u7387"
    },
    "file_format": {
      "enum": [
        "jpg",
        "png",
        "webp"
      ],
      "type": "string",
      "title": "file_format",
      "description": "\u8f93\u51fa\u56fe\u7247\u683c\u5f0f",
      "default": "jpg",
      "x-order": 9
    },
    "input_image": {
      "type": "string",
      "title": "Input Image",
      "format": "uri",
      "x-order": 2,
      "nullable": true,
      "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
    },
    "strength_model": {
      "type": "number",
      "title": "Strength Model",
      "default": 0.1,
      "maximum": 1,
      "minimum": 0,
      "x-order": 7,
      "description": "LoRA\u5f3a\u5ea6"
    },
    "color_match_switch": {
      "type": "boolean",
      "title": "Color Match Switch",
      "x-order": 6,
      "nullable": true,
      "description": "\u989c\u8272\u5339\u914d\uff1b\u672a\u8bbe\u7f6e\u65f6 enhancer \u9ed8\u8ba4\u5f00\u542f\uff0c\u5176\u4f59\u6a21\u5f0f\u9ed8\u8ba4\u5173\u95ed"
    }
  }
}

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"
}