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anotherjesse /controlnet-tile-test:1f6bfe27

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
control_image
string
Optional Image to use for guidance based on tile
controlnet_conditioning_scale
number
1
Scale of conditioning for controlnet
prompt
string
photo of cjw person
Input prompt
negative_prompt
string
Specify things to not see in the output
strength
number
1

Max: 1

Strength
resolution
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Resolution of output image
num_outputs
integer
1

Min: 1

Max: 10

Number of images to output.
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
scheduler
string (enum)
KerrasDPM

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, KerrasDPM, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep

Choose a scheduler.
disable_safety_check
boolean
False
Disable safety check. Use at your own risk!
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',
 'x-cog-array-type': 'iterator'}