anotherjesse / temporalnet-v2

draft version of temporalnet v2

  • Public
  • 78 runs

Run anotherjesse/temporalnet-v2 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
Prompt for the model
input_video
string
Input video
strength
number
0.7
How heavily stylization affects the image
controlnet_scale
number
1
Controlnet conditioning scale
canny_scale
number
1
Canny conditioning scale
width
integer
512
width
height
integer
512
height
batch_size
integer
4
Batch size (more = faster but more memory)
num_inference_steps
integer
20
Steps to run denoising
guidance_scale
number
7.5

Min: 0.1

Max: 30

Scale for classifier-free guidance
seed
integer
Seed

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"
}