You're looking at a specific version of this model. Jump to the model overview.

usamaehsan /flux-multi-controlnet:c8b12b62

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 girl in city, 25 years old, cool, futuristic style
The text prompt that guides image generation
canny_image
string
Input image for Canny ControlNet
depth_image
string
Input image for Depth ControlNet
lineart_image
string
Input image for Lineart ControlNet
upscaler_image
string
Input image for Upscaler ControlNet
canny_detector_type
string (enum)
canny

Options:

canny, mlsd, hed, lineart

Detector type to use with Canny ControlNet
depth_detector_type
string (enum)
depth

Options:

depth, canny, mlsd, hed, lineart

Detector type to use with Depth ControlNet
lineart_detector_type
string (enum)
lineart

Options:

lineart, canny, mlsd, hed

Detector type to use with Lineart ControlNet
canny_strength
number
0.6

Max: 2

Strength for Canny ControlNet
depth_strength
number
0.6

Max: 2

Strength for Depth ControlNet
lineart_strength
number
0.6

Max: 2

Strength for Lineart ControlNet
upscaler_strength
number
0.6

Max: 2

Strength for Upscaler ControlNet
guidance_scale
number
3.5

Max: 20

Controls how closely the image follows the prompt
steps
integer
8

Min: 1

Max: 50

Number of denoising steps
seed
integer
Random seed for reproducibility
hyperflex_lora_weight
number
0.125

Max: 1

Weight of the HyperFlex LoRA adaptation
add_details_lora_weight
number
0

Max: 1

Weight of the Add Details LoRA adaptation
realism_lora_weight
number
0

Max: 1

Weight of the Realism LoRA adaptation
widthh
integer
0

Max: 5000

Output image width in pixels
heightt
integer
0

Max: 5000

Output image height in pixels

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'}