zf-kbot/video-enhancer | API reference

Public

115 runs

Run zf-kbot/video-enhancer 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 Key
input_video	string		输入视频文件（支持 mp4, mov, avi, mkv, webm）
force_rate	integer	24 Max: 60	强制帧率（0 表示保持原帧率）
frame_load_cap	integer	720	最大加载帧数（0 表示不限制）
first_enhancer_totalpixels	number	1 Min: 1 Max: 4	第一阶段增强器总像素数（百万）
output_long_side_pixels	None	1920	输出长边像素数（0=默认, 1920=HD, 2560=2K, 3840=4K）
scale	None	1	FlashVSR 超分倍率
sparse_ratio	number	2 Min: 1 Max: 4	稀疏比，2.0=稳定，1.5=更快
kv_ratio	number	3.5 Min: 1 Max: 8	KV 缓存比率
local_range	integer	7 Min: 7 Max: 11	局部范围，11=稳定，9=更锐利，7=效果最好
color_fix	boolean	True	颜色校正
fix_method	None	wavelet	颜色校正方法
full_tiled	boolean	True	启用分块处理（低显存）
tiny_long	boolean	False	启用 Tiny Long 模式（长视频优化）
split_num	integer	81 Max: 81	总切块数
filename_prefix	string	ImgUpscaler.ai	输出文件名前缀

{
  "type": "object",
  "title": "Input",
  "required": [
    "input_video"
  ],
  "properties": {
    "scale": {
      "enum": [
        1,
        2,
        3,
        4
      ],
      "type": "integer",
      "title": "scale",
      "description": "FlashVSR \u8d85\u5206\u500d\u7387",
      "default": 1,
      "x-order": 6
    },
    "apikey": {
      "type": "string",
      "title": "Apikey",
      "default": "",
      "x-order": 0,
      "description": "API Key"
    },
    "kv_ratio": {
      "type": "number",
      "title": "Kv Ratio",
      "default": 3.5,
      "maximum": 8,
      "minimum": 1,
      "x-order": 8,
      "description": "KV \u7f13\u5b58\u6bd4\u7387"
    },
    "color_fix": {
      "type": "boolean",
      "title": "Color Fix",
      "default": true,
      "x-order": 10,
      "description": "\u989c\u8272\u6821\u6b63"
    },
    "split_num": {
      "type": "integer",
      "title": "Split Num",
      "default": 81,
      "maximum": 81,
      "minimum": 0,
      "x-order": 14,
      "description": "\u603b\u5207\u5757\u6570"
    },
    "tiny_long": {
      "type": "boolean",
      "title": "Tiny Long",
      "default": false,
      "x-order": 13,
      "description": "\u542f\u7528 Tiny Long \u6a21\u5f0f\uff08\u957f\u89c6\u9891\u4f18\u5316\uff09"
    },
    "fix_method": {
      "enum": [
        "wavelet",
        "adain",
        "none"
      ],
      "type": "string",
      "title": "fix_method",
      "description": "\u989c\u8272\u6821\u6b63\u65b9\u6cd5",
      "default": "wavelet",
      "x-order": 11
    },
    "force_rate": {
      "type": "integer",
      "title": "Force Rate",
      "default": 24,
      "maximum": 60,
      "minimum": 0,
      "x-order": 2,
      "description": "\u5f3a\u5236\u5e27\u7387\uff080 \u8868\u793a\u4fdd\u6301\u539f\u5e27\u7387\uff09"
    },
    "full_tiled": {
      "type": "boolean",
      "title": "Full Tiled",
      "default": true,
      "x-order": 12,
      "description": "\u542f\u7528\u5206\u5757\u5904\u7406\uff08\u4f4e\u663e\u5b58\uff09"
    },
    "input_video": {
      "type": "string",
      "title": "Input Video",
      "format": "uri",
      "x-order": 1,
      "description": "\u8f93\u5165\u89c6\u9891\u6587\u4ef6\uff08\u652f\u6301 mp4, mov, avi, mkv, webm\uff09"
    },
    "local_range": {
      "type": "integer",
      "title": "Local Range",
      "default": 7,
      "maximum": 11,
      "minimum": 7,
      "x-order": 9,
      "description": "\u5c40\u90e8\u8303\u56f4\uff0c11=\u7a33\u5b9a\uff0c9=\u66f4\u9510\u5229\uff0c7=\u6548\u679c\u6700\u597d"
    },
    "sparse_ratio": {
      "type": "number",
      "title": "Sparse Ratio",
      "default": 2,
      "maximum": 4,
      "minimum": 1,
      "x-order": 7,
      "description": "\u7a00\u758f\u6bd4\uff0c2.0=\u7a33\u5b9a\uff0c1.5=\u66f4\u5feb"
    },
    "frame_load_cap": {
      "type": "integer",
      "title": "Frame Load Cap",
      "default": 720,
      "minimum": 0,
      "x-order": 3,
      "description": "\u6700\u5927\u52a0\u8f7d\u5e27\u6570\uff080 \u8868\u793a\u4e0d\u9650\u5236\uff09"
    },
    "filename_prefix": {
      "type": "string",
      "title": "Filename Prefix",
      "default": "ImgUpscaler.ai",
      "x-order": 15,
      "description": "\u8f93\u51fa\u6587\u4ef6\u540d\u524d\u7f00"
    },
    "output_long_side_pixels": {
      "enum": [
        0,
        1920,
        2560,
        3840
      ],
      "type": "integer",
      "title": "output_long_side_pixels",
      "description": "\u8f93\u51fa\u957f\u8fb9\u50cf\u7d20\u6570\uff080=\u9ed8\u8ba4, 1920=HD, 2560=2K, 3840=4K\uff09",
      "default": 1920,
      "x-order": 5
    },
    "first_enhancer_totalpixels": {
      "type": "number",
      "title": "First Enhancer Totalpixels",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "x-order": 4,
      "description": "\u7b2c\u4e00\u9636\u6bb5\u589e\u5f3a\u5668\u603b\u50cf\u7d20\u6570\uff08\u767e\u4e07\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"
}