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jerray /meinamix-v11-controlnet:8f7a8d90

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
30

Min: 1

Max: 500

Number of denoising steps
strength
number
0.8

Max: 1

Strength of diffusion. Higher values will result in more diffusion.
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, DPM++ SDE Karras

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
lora_model
string (enum)

Options:

adventurers_v1, add_detail

An enumeration.
cross_attention_scale
number
0.8

Max: 1

A scale value of 0 is the same as not using your LoRA weights and you’re only using the base model weights, and a scale value of 1 means you’re only using the fully finetuned LoRA weights.

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'}