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replicategithubwc /niji-xl-controlnet:97b0a0ff

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 for img2img or inpaint mode
prompt
string
aerial view, a futuristic research complex in a bright foggy jungle, hard lighting
Input prompt
negative_prompt
string
low quality, bad quality, sketches
Input Negative Prompt
model_type
None
canny
ControlNet model type to use
width
None
768
Width of output image. Maximum size is 1024x1024 because of memory limits
height
None
768
Height of output image. Maximum size is 1024x1024 because of memory limits
num_outputs
integer
1

Min: 1

Max: 4

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
None
DEISMultistepScheduler
scheduler
condition_scale
number
0.5

Max: 1

controlnet conditioning scale for generalization
low_threshold
integer
100

Min: 1

Max: 255

Canny line detection low threshold
high_threshold
integer
200

Min: 1

Max: 255

Canny line detection high threshold
seed
integer
0
Random seed. Set to 0 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'}