zf-kbot/iu-wan-remix-0227-1
Public
2
runs
Run zf-kbot/iu-wan-remix-0227-1 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 |
|---|---|---|---|
| input_image |
string
|
输入图像文件(支持常见图像格式,如 jpg、png)
|
|
| prompt |
string
|
|
正向提示词,描述想要生成的视频内容和运动
|
| negative_prompt |
string
|
色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走
|
负向提示词,描述不想看到的内容
|
| width |
integer
|
480
Min: 256 Max: 1024 |
视频宽度
|
| height |
integer
|
832
Min: 256 Max: 1024 |
视频高度
|
| frames |
integer
|
81
Min: 25 Max: 121 |
视频帧数
|
| fps |
None
|
16
|
视频帧率
|
| seed |
integer
|
-1
|
随机种子(-1 表示随机生成)
|
{
"type": "object",
"title": "Input",
"required": [
"input_image"
],
"properties": {
"fps": {
"enum": [
16,
24,
30
],
"type": "integer",
"title": "fps",
"description": "\u89c6\u9891\u5e27\u7387",
"default": 16,
"x-order": 6
},
"seed": {
"type": "integer",
"title": "Seed",
"default": -1,
"x-order": 7,
"description": "\u968f\u673a\u79cd\u5b50\uff08-1 \u8868\u793a\u968f\u673a\u751f\u6210\uff09"
},
"width": {
"type": "integer",
"title": "Width",
"default": 480,
"maximum": 1024,
"minimum": 256,
"x-order": 3,
"description": "\u89c6\u9891\u5bbd\u5ea6"
},
"frames": {
"type": "integer",
"title": "Frames",
"default": 81,
"maximum": 121,
"minimum": 25,
"x-order": 5,
"description": "\u89c6\u9891\u5e27\u6570"
},
"height": {
"type": "integer",
"title": "Height",
"default": 832,
"maximum": 1024,
"minimum": 256,
"x-order": 4,
"description": "\u89c6\u9891\u9ad8\u5ea6"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "",
"x-order": 1,
"description": "\u6b63\u5411\u63d0\u793a\u8bcd\uff0c\u63cf\u8ff0\u60f3\u8981\u751f\u6210\u7684\u89c6\u9891\u5185\u5bb9\u548c\u8fd0\u52a8"
},
"input_image": {
"type": "string",
"title": "Input Image",
"format": "uri",
"x-order": 0,
"description": "\u8f93\u5165\u56fe\u50cf\u6587\u4ef6\uff08\u652f\u6301\u5e38\u89c1\u56fe\u50cf\u683c\u5f0f\uff0c\u5982 jpg\u3001png\uff09"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70",
"x-order": 2,
"description": "\u8d1f\u5411\u63d0\u793a\u8bcd\uff0c\u63cf\u8ff0\u4e0d\u60f3\u770b\u5230\u7684\u5185\u5bb9"
}
}
}
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"
}