zf-kbot/md-watermark-remover-1

Public

53 runs

Run zf-kbot/md-watermark-remover-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
input_image	string		输入图片
prompt	string	remove all watermarks	正向提示词
max_size	integer	4096 Min: 1024 Max: 6000	图片长边上限
lora_strength_model	number	0.5 Max: 1	lora权重
output_ext	None	jpg	输出图片格式

{
  "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": "remove all watermarks",
      "x-order": 2,
      "description": "\u6b63\u5411\u63d0\u793a\u8bcd"
    },
    "max_size": {
      "type": "integer",
      "title": "Max Size",
      "default": 4096,
      "maximum": 6000,
      "minimum": 1024,
      "x-order": 3,
      "description": "\u56fe\u7247\u957f\u8fb9\u4e0a\u9650"
    },
    "output_ext": {
      "enum": [
        "jpg",
        "png",
        "webp"
      ],
      "type": "string",
      "title": "output_ext",
      "description": "\u8f93\u51fa\u56fe\u7247\u683c\u5f0f",
      "default": "jpg",
      "x-order": 5
    },
    "input_image": {
      "type": "string",
      "title": "Input Image",
      "format": "uri",
      "x-order": 1,
      "description": "\u8f93\u5165\u56fe\u7247"
    },
    "lora_strength_model": {
      "type": "number",
      "title": "Lora Strength Model",
      "default": 0.5,
      "maximum": 1,
      "minimum": 0,
      "x-order": 4,
      "description": "lora\u6743\u91cd"
    }
  }
}

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"
}