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anotherjesse /temporalnet-v2:23b15171
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
|
|
| negative_prompt |
string
|
Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
|
Negative prompt
|
| strength |
number
|
0.7
|
How heavily stylization affects the image
|
| controlnet_scale |
number
|
1
|
Controlnet conditioning scale
|
| width |
integer
|
512
|
width
|
| height |
integer
|
512
|
height
|
| batch_size |
integer
|
4
|
Batch size (more = faster but more memory)
|
| scheduler |
string
(enum)
|
KerrasDPM
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KerrasDPM, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep |
Choose a scheduler.
|
| 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
|
|
| disable_safety_check |
boolean
|
False
|
Disable safety check. Use at your own risk!
|
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'}