You're looking at a specific version of this model. Jump to the model overview.
georgedavila /ltx-img2vid:1d81d681
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 |
|---|---|---|---|
| imageSource |
string
|
https://upload.wikimedia.org/wikipedia/en/4/42/Beatles_-_Abbey_Road.jpg
|
Source Image
|
| myprompt |
string
|
Four men walk across a London crosswalk. The men casually and calmly walk to the right. The scene is sunny with bright warm lighting. No cars move in the background. The camera remains stationary. Real footage.
|
Input prompt, should follow from your source image.
|
| negative_prompt |
string
|
low quality, worst quality, inconsistent motion, blurry, jittery, distorted
|
Negative Prompt
|
| outWidth |
integer
|
864
Min: 128 Max: 2048 |
width of output
|
| outHeight |
integer
|
480
Min: 128 Max: 2048 |
height of output
|
| guidanceScale |
number
|
3
Min: 1 Max: 10 |
Guidance scale (influence of input text on generation)
|
| num_frames |
integer
(enum)
|
97
Options: 97, 129, 161, 193, 225, 257 |
Number of images to output.
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of outputs.
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| outFPS |
integer
|
24
|
Output FPS
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}