zf-kbot/image-watermark-remover

Public

5 runs

Run zf-kbot/image-watermark-remover 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
input_image	string		主输入图像（image 1）
prompt	string	remove all watermarks	正向提示词（positive_prompt）
negative_prompt	string		负面提示词（negative_prompt）
batch_size	integer	1	batch_size，决定一次生成的图片数量
steps	integer	4	去噪步数（steps）
output_ext	string	.jpg	输出图片后缀，例如 `.jpg` / `.png`
quality	integer	100	输出图片质量 (1-100)，对应 Save Image Extended 的 `quality`
seed	integer	-1	随机种子，-1 表示随机

{
  "type": "object",
  "title": "Input",
  "required": [
    "input_image"
  ],
  "properties": {
    "seed": {
      "type": "integer",
      "title": "Seed",
      "default": -1,
      "x-order": 7,
      "description": "\u968f\u673a\u79cd\u5b50\uff0c-1 \u8868\u793a\u968f\u673a"
    },
    "steps": {
      "type": "integer",
      "title": "Steps",
      "default": 4,
      "x-order": 4,
      "description": "\u53bb\u566a\u6b65\u6570\uff08steps\uff09"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "remove all watermarks",
      "x-order": 1,
      "description": "\u6b63\u5411\u63d0\u793a\u8bcd\uff08positive_prompt\uff09"
    },
    "quality": {
      "type": "integer",
      "title": "Quality",
      "default": 100,
      "x-order": 6,
      "description": "\u8f93\u51fa\u56fe\u7247\u8d28\u91cf (1-100)\uff0c\u5bf9\u5e94 Save Image Extended \u7684 `quality`"
    },
    "batch_size": {
      "type": "integer",
      "title": "Batch Size",
      "default": 1,
      "x-order": 3,
      "description": "batch_size\uff0c\u51b3\u5b9a\u4e00\u6b21\u751f\u6210\u7684\u56fe\u7247\u6570\u91cf"
    },
    "output_ext": {
      "type": "string",
      "title": "Output Ext",
      "default": ".jpg",
      "x-order": 5,
      "description": "\u8f93\u51fa\u56fe\u7247\u540e\u7f00\uff0c\u4f8b\u5982 `.jpg` / `.png`"
    },
    "input_image": {
      "type": "string",
      "title": "Input Image",
      "format": "uri",
      "x-order": 0,
      "description": "\u4e3b\u8f93\u5165\u56fe\u50cf\uff08image 1\uff09"
    },
    "negative_prompt": {
      "type": "string",
      "title": "Negative Prompt",
      "default": "",
      "x-order": 2,
      "description": "\u8d1f\u9762\u63d0\u793a\u8bcd\uff08negative_prompt\uff09"
    }
  }
}

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"
}