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cottom /xsd_12kdsd:989907b8

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 to generate from
negative_prompt
string
Prompt to generate from
image
string
Grayscale input image
image_style_reference
string
Grayscale input image
scheduler
string (enum)
K_EULER

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM

scheduler
detect_resolution
integer
512

Min: 128

Max: 4096

Resolution at which detection method will be applied)
image_resolution
integer
1024

Min: 128

Max: 4096

Resolution at which image will be applied)
num_inference_steps
integer
30

Min: 1

Max: 100

Number of inference steps
guidance_scale
number
2

Max: 10

controlnet conditioning scale for generalization
num_images_per_prompt
integer
1

Min: 1

Max: 9

Number of image per prompt
condition_scale
number
0.5

Max: 1

controlnet conditioning scale for generalization
enable_depth_ctr
boolean
True
enable depth control
enable_sketch_ctr
boolean
True
enable sketch control
dry_run
boolean
False
dry run
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'}