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usamaehsan/controlnet-1.1-x-realistic-vision-v2.0:51778c75

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 tabby cat)+++, high resolution, sitting on a park bench
None
negative_prompt
string
(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, 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
None
strength
number
0.8

Max: 2

control strength/weight
max_height
number
612

Min: 128

max height of mask/image
max_width
number
612

Min: 128

max width of mask/image
steps
integer
20

Max: 100

num_inference_steps
seed
integer
Leave blank to randomize
guidance_scale
integer
10

Max: 30

guidance_scale

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}