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jerray /meinamix-v11-controlnet:f61d168e

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
control_image
string
Control image
prompt
string
a photo of an astronaut riding a horse on mars
Input prompt
negative_prompt
string
Specify things to not see in the output
width
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Height of output image. Maximum size is 1024x768 or 768x1024 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
string (enum)
DPMSolverMultistep

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS

Choose a scheduler.
canny_low_threshold
integer
100

Min: 1

Max: 255

Canny line detection low threshold
canny_high_threshold
integer
200

Min: 1

Max: 255

Canny line detection high threshold
controlnet_conditioning_scale
number
1

Max: 2

Control Weight
control_guidance_start
number
0

Max: 1

The percentage of total steps at which the controlnet starts applying
control_guidance_end
number
1

Max: 1

The percentage of total steps at which the controlnet stops applying
resize_mode
string (enum)
fill

Options:

fill, cover, crop

fill - The image is resized to fill the given dimension. cover - The image keeps its aspect ratio and fills the given dimension. The image will be clipped to fit. crop - The image keeps its aspect ratio and scales to the target size.
seed
integer
Random seed. Leave blank 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'}