aodianyun
/
easyanimate-v4
- Public
- 20 runs
Run aodianyun/easyanimate-v4 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 |
|---|---|---|---|
| prompt |
string
|
一艘帆船在海面上航行。视频质量很高，视野很清晰。最佳品质、杰作、高分辨率、超精细、梦幻般。
|
video prompt
|
| negative_prompt |
string
|
视频质量不高，分辨率低，不清晰。运动轨迹奇怪，构图差，视频变形，重复丑陋，身体结构奇怪，脖子又长又奇怪，牙齿不好，眼睛不好，四肢不好，手不好，相机旋转，相机模糊，相机抖动。变形、模糊、丑陋、失真。
|
video negative prompt
|
| validation_image_start |
string
|
start image
|
|
| validation_image_end |
string
|
end image
|
|
| video_length |
integer
|
72
Min: 1 Max: 144 |
video sum frames
|
| width |
integer
|
640
|
video width
|
| height |
integer
|
360
|
video height
|
| num_inference_steps |
integer
|
25
Min: 1 |
sampling steps
|
| guidance_scale |
integer
|
7
|
cfg scale
|
| seed |
integer
|
43
|
Seed for random number generator. If None or -1, a random seed will be used.
|
| low_gpu_memory_mode |
boolean
|
False
|
use cpu and gpu
|
{
"type": "object",
"title": "Input",
"properties": {
"seed": {
"type": "integer",
"title": "Seed",
"default": 43,
"x-order": 9,
"description": "Seed for random number generator. If None or -1, a random seed will be used."
},
"width": {
"type": "integer",
"title": "Width",
"default": 640,
"x-order": 5,
"description": "video width"
},
"height": {
"type": "integer",
"title": "Height",
"default": 360,
"x-order": 6,
"description": "video height"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "\u4e00\u8258\u5e06\u8239\u5728\u6d77\u9762\u4e0a\u822a\u884c\u3002\u89c6\u9891\u8d28\u91cf\u5f88\u9ad8\uff0c\u89c6\u91ce\u5f88\u6e05\u6670\u3002\u6700\u4f73\u54c1\u8d28\u3001\u6770\u4f5c\u3001\u9ad8\u5206\u8fa8\u7387\u3001\u8d85\u7cbe\u7ec6\u3001\u68a6\u5e7b\u822c\u3002",
"x-order": 0,
"description": "video prompt"
},
"video_length": {
"type": "integer",
"title": "Video Length",
"default": 72,
"maximum": 144,
"minimum": 1,
"x-order": 4,
"description": "video sum frames"
},
"guidance_scale": {
"type": "integer",
"title": "Guidance Scale",
"default": 7,
"x-order": 8,
"description": "cfg scale"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "\u89c6\u9891\u8d28\u91cf\u4e0d\u9ad8\uff0c\u5206\u8fa8\u7387\u4f4e\uff0c\u4e0d\u6e05\u6670\u3002\u8fd0\u52a8\u8f68\u8ff9\u5947\u602a\uff0c\u6784\u56fe\u5dee\uff0c\u89c6\u9891\u53d8\u5f62\uff0c\u91cd\u590d\u4e11\u964b\uff0c\u8eab\u4f53\u7ed3\u6784\u5947\u602a\uff0c\u8116\u5b50\u53c8\u957f\u53c8\u5947\u602a\uff0c\u7259\u9f7f\u4e0d\u597d\uff0c\u773c\u775b\u4e0d\u597d\uff0c\u56db\u80a2\u4e0d\u597d\uff0c\u624b\u4e0d\u597d\uff0c\u76f8\u673a\u65cb\u8f6c\uff0c\u76f8\u673a\u6a21\u7cca\uff0c\u76f8\u673a\u6296\u52a8\u3002\u53d8\u5f62\u3001\u6a21\u7cca\u3001\u4e11\u964b\u3001\u5931\u771f\u3002",
"x-order": 1,
"description": "video negative prompt"
},
"low_gpu_memory_mode": {
"type": "boolean",
"title": "Low Gpu Memory Mode",
"default": false,
"x-order": 10,
"description": "use cpu and gpu"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 25,
"minimum": 1,
"x-order": 7,
"description": "sampling steps"
},
"validation_image_end": {
"type": "string",
"title": "Validation Image End",
"format": "uri",
"x-order": 3,
"description": "end image"
},
"validation_image_start": {
"type": "string",
"title": "Validation Image Start",
"format": "uri",
"x-order": 2,
"description": "start image"
}
}
}
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"
}