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replicategithubwc /zavy-chroma-xl-controlnet:5522528d

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
string (enum)
canny

Options:

canny, openpose, scribble

ControlNet model type to use
width
integer
1024
Width of output image
height
integer
1024
Height of output image
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
string (enum)
K_EULER

Options:

PNDM, KLMS, DDIM, K_EULER, K_EULER_ANCESTRAL, DPMSolverMultistep, DEISMultistepScheduler

scheduler
condition_scale
number
0.5

Max: 1

controlnet conditioning scale for generalization
adapter_conditioning_factor
number
1

Max: 1

Factor to scale image by
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'}