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anotherjesse /temporalnet-v2:b449378c

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'}