lightweight-ai
/
video_test
- Public
- 1 run
-
A100 (80GB)
Run lightweight-ai/video_test 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
|
Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.
|
Focus on a single, central subject. Structure the prompt from coarse to fine details. Start with 'a close shot' or 'a medium shot' if applicable. Append 'high resolution 4k' to reduce warping
|
| num_frames |
integer
|
163
Min: 30 Max: 170 |
Number of frames to generate
|
| num_inference_steps |
integer
|
64
Min: 10 Max: 200 |
Number of inference steps
|
| guidance_scale |
number
|
6
Min: 0.1 Max: 10 |
The guidance scale for the model
|
| fps |
integer
|
30
Min: 10 Max: 60 |
Frames per second
|
| seed |
integer
|
Random seed
|
{
"type": "object",
"title": "Input",
"properties": {
"fps": {
"type": "integer",
"title": "Fps",
"default": 30,
"maximum": 60,
"minimum": 10,
"x-order": 4,
"description": "Frames per second"
},
"seed": {
"type": "integer",
"title": "Seed",
"x-order": 5,
"description": "Random seed"
},
"prompt": {
"type": "string",
"title": "Prompt",
"default": "Close-up of a chameleon's eye, with its scaly skin changing color. Ultra high resolution 4k.",
"x-order": 0,
"description": "Focus on a single, central subject. Structure the prompt from coarse to fine details. Start with 'a close shot' or 'a medium shot' if applicable. Append 'high resolution 4k' to reduce warping"
},
"num_frames": {
"type": "integer",
"title": "Num Frames",
"default": 163,
"maximum": 170,
"minimum": 30,
"x-order": 1,
"description": "Number of frames to generate"
},
"guidance_scale": {
"type": "number",
"title": "Guidance Scale",
"default": 6,
"maximum": 10,
"minimum": 0.1,
"x-order": 3,
"description": "The guidance scale for the model"
},
"num_inference_steps": {
"type": "integer",
"title": "Num Inference Steps",
"default": 64,
"maximum": 200,
"minimum": 10,
"x-order": 2,
"description": "Number of inference steps"
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"type": "string",
"title": "Output",
"format": "uri"
}