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lightweight-ai /controlnet_test:7507014c

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
A bohemian-style female travel blogger with sun-kissed skin and messy beach waves
Prompt for generated image
image
string
Upload an image for inpainting. This will be the base image that will be partially modified.
inpaint
boolean
False
None
controlnet
boolean
False
None
mask
string
Upload a mask image for inpainting. White areas (255) indicate regions to be inpainted, while black areas (0) will be preserved from the original image.
width
integer
1024
Width of output image
height
integer
1024
Height of output image
prompt_strength
number
0.8

Max: 1

Prompt strength (or denoising strength) when using image to image. 1.0 corresponds to full destruction of information in image.
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
28

Min: 1

Max: 50

Number of inference steps
loras
array
[]
Lora list (Realism, Karina, IU)
lora_scales
array
[]
Lora scales
seed
integer
Random seed. Set for reproducible generation
output_format
string (enum)
png

Options:

webp, jpg, png

Format of the output images
output_quality
integer
100

Max: 100

Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
control_type
string (enum)
canny

Options:

canny, tile, depth, blur, pose, gray, low-quality

Control type
control_strength
number
0.2

Max: 1

ControlNet strength, depth works best at 0.2, canny works best at 0.4. Recommended range is 0.3-0.8
control_image
string
Control image

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'}