enhance-replicate/wangguf
Run enhance-replicate/wangguf 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
|
a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera
|
Text prompt for video generation
|
negative_prompt |
string
|
blurry ugly bad
|
Negative prompt to avoid certain elements
|
width |
integer
|
720
Min: 256 Max: 1280 |
Width of the video
|
height |
integer
|
480
Min: 256 Max: 1280 |
Height of the video
|
num_frames |
integer
|
57
Min: 16 Max: 128 |
Number of frames to generate
|
num_inference_steps |
integer
|
24
Min: 1 Max: 50 |
Number of inference steps
|
guidance_scale |
number
|
2.5
Min: 1 Max: 20 |
Guidance scale for generation
|
conditioning_scale |
number
|
0
Max: 10 |
Conditioning scale
|
seed |
integer
|
0
|
Random seed for generation
|
fps |
integer
|
16
Min: 1 Max: 60 |
Frames per second for output video
|
{
"type": "object",
"title": "Input",
"properties": {
"fps": {
"type": "integer",
"title": "Fps",
"default": 16,
"maximum": 60,
"minimum": 1,
"x-order": 9,
"description": "Frames per second for output video"
},
"seed": {
"type": "integer",
"title": "Seed",
"default": 0,
"x-order": 8,
"description": "Random seed for generation"
},
"width": {
"type": "integer",
"title": "Width",
"default": 720,
"maximum": 1280,
"minimum": 256,
"x-order": 2,
"description": "Width of the video"
},
"height": {
"type": "integer",
"title": "Height",
"default": 480,
"maximum": 1280,
"minimum": 256,
"x-order": 3,
"description": "Height of the video"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "a pig moving quickly in a beautiful winter scenery nature trees sunset tracking camera",
"x-order": 0,
"description": "Text prompt for video generation"
},
"num_frames": {
"type": "integer",
"title": "Num Frames",
"default": 57,
"maximum": 128,
"minimum": 16,
"x-order": 4,
"description": "Number of frames to generate"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 2.5,
"maximum": 20,
"minimum": 1,
"x-order": 6,
"description": "Guidance scale for generation"
},
"negative_prompt": {
"type": "string",
"title": "Negative Prompt",
"default": "blurry ugly bad",
"x-order": 1,
"description": "Negative prompt to avoid certain elements"
},
"conditioning_scale": {
"type": "number",
"title": "Conditioning Scale",
"default": 0,
"maximum": 10,
"minimum": 0,
"x-order": 7,
"description": "Conditioning scale"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 24,
"maximum": 50,
"minimum": 1,
"x-order": 5,
"description": "Number of inference steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
{
"type": "string",
"title": "Output",
"format": "uri"
}