zf-kbot
/
aniportrait-vid2vid
- Public
- 0 runs
Run zf-kbot/aniportrait-vid2vid 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 |
---|---|---|---|
image |
string
|
Input image
|
|
audio |
string
|
Input audio
|
|
width |
integer
|
512
|
Width of output video
|
height |
integer
|
512
|
Height of output video
|
guidance_scale |
number
|
3.5
|
Scale for classifier-free guidance
|
steps |
integer
|
25
|
Inference steps
|
fps |
integer
|
30
|
Frame per second in the output video
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
{
"type": "object",
"title": "Input",
"required": [
"image",
"audio"
],
"properties": {
"fps": {
"type": "integer",
"title": "Fps",
"default": 30,
"x-order": 6,
"description": "Frame per second in the output video"
},
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 7,
"description": "Random seed. Leave blank to randomize the seed"
},
"audio": {
"type": "string",
"title": "Audio",
"format": "uri",
"x-order": 1,
"description": "Input audio"
},
"image": {
"type": "string",
"title": "Image",
"format": "uri",
"x-order": 0,
"description": "Input image"
},
"steps": {
"type": "integer",
"title": "Steps",
"default": 25,
"x-order": 5,
"description": "Inference steps"
},
"width": {
"type": "integer",
"title": "Width",
"default": 512,
"x-order": 2,
"description": "Width of output video"
},
"height": {
"type": "integer",
"title": "Height",
"default": 512,
"x-order": 3,
"description": "Height of output video"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 3.5,
"x-order": 4,
"description": "Scale for classifier-free guidance"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "object",
"title": "Output",
"required": [
"video",
"pose"
],
"properties": {
"pose": {
"type": "string",
"title": "Pose",
"format": "uri"
},
"video": {
"type": "string",
"title": "Video",
"format": "uri"
}
}
}