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cjwbw /kandinsky-2-2-controlnet-depth:98b54ca0

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
image
string
Input image
prompt
string
A robot, 4k photo
Input prompt
negative_prompt
string
lowres, text, error, cropped, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature
Specify things to not see in the output
task
string (enum)
img2img

Options:

text2img, img2img

Choose a task
width
integer (enum)
768

Options:

384, 512, 576, 640, 704, 768, 960, 1024, 1152, 1280, 1536, 1792, 2048

Width of output image. Lower the setting if hits memory limits.
height
integer (enum)
768

Options:

384, 512, 576, 640, 704, 768, 960, 1024, 1152, 1280, 1536, 1792, 2048

Height of output image. Lower the setting if hits memory limits.
num_inference_steps
integer
75

Min: 1

Max: 500

Number of denoising steps
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
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'}