zf-kbot/video-watermark-remover-q

Public

60 runs

Run zf-kbot/video-watermark-remover-q 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_video	string		输入视频文件（支持常见视频格式，如 mp4）
prompt	string	移除图片右上角或右侧出现的白色'sora'水印，其他内容保持一致	正向提示词，精确描述水印特点，如位置、颜色、是文字还是logo
megapixels	number	0.6	目标百万像素
color_match_switch	boolean	True	启用颜色匹配
frame_load_cap	integer	121	最多载入的帧数（0 表示载入全部帧）
force_rate	number	24	强制视频帧率（fps），影响视频载入和输出的帧率（0 表示原视频帧率）

{
  "type": "object",
  "title": "Input",
  "required": [
    "input_video"
  ],
  "properties": {
    "prompt": {
      "type": "string",
      "title": "Prompt",
      "default": "\u79fb\u9664\u56fe\u7247\u53f3\u4e0a\u89d2\u6216\u53f3\u4fa7\u51fa\u73b0\u7684\u767d\u8272'sora'\u6c34\u5370\uff0c\u5176\u4ed6\u5185\u5bb9\u4fdd\u6301\u4e00\u81f4",
      "x-order": 1,
      "description": "\u6b63\u5411\u63d0\u793a\u8bcd\uff0c\u7cbe\u786e\u63cf\u8ff0\u6c34\u5370\u7279\u70b9\uff0c\u5982\u4f4d\u7f6e\u3001\u989c\u8272\u3001\u662f\u6587\u5b57\u8fd8\u662flogo"
    },
    "force_rate": {
      "type": "number",
      "title": "Force Rate",
      "default": 24,
      "x-order": 5,
      "description": "\u5f3a\u5236\u89c6\u9891\u5e27\u7387\uff08fps\uff09\uff0c\u5f71\u54cd\u89c6\u9891\u8f7d\u5165\u548c\u8f93\u51fa\u7684\u5e27\u7387\uff080 \u8868\u793a\u539f\u89c6\u9891\u5e27\u7387\uff09"
    },
    "megapixels": {
      "type": "number",
      "title": "Megapixels",
      "default": 0.6,
      "x-order": 2,
      "description": "\u76ee\u6807\u767e\u4e07\u50cf\u7d20"
    },
    "input_video": {
      "type": "string",
      "title": "Input Video",
      "format": "uri",
      "x-order": 0,
      "description": "\u8f93\u5165\u89c6\u9891\u6587\u4ef6\uff08\u652f\u6301\u5e38\u89c1\u89c6\u9891\u683c\u5f0f\uff0c\u5982 mp4\uff09"
    },
    "frame_load_cap": {
      "type": "integer",
      "title": "Frame Load Cap",
      "default": 121,
      "x-order": 4,
      "description": "\u6700\u591a\u8f7d\u5165\u7684\u5e27\u6570\uff080 \u8868\u793a\u8f7d\u5165\u5168\u90e8\u5e27\uff09"
    },
    "color_match_switch": {
      "type": "boolean",
      "title": "Color Match Switch",
      "default": true,
      "x-order": 3,
      "description": "\u542f\u7528\u989c\u8272\u5339\u914d"
    }
  }
}

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"
}