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usamaehsan /multi-controlnet-x-consistency-decoder-x-realestic-vision-v5:483ea950

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
Prompt - using compel, use +++ to increase words weight:: doc: https://github.com/damian0815/compel/tree/main/doc || https://invoke-ai.github.io/InvokeAI/features/PROMPTS/#attention-weighting
lineart_image
string
Control image for canny controlnet
lineart_conditioning_scale
number
1
Conditioning scale for canny controlnet
depth_image
string
Control image for depth controlnet
depth_conditioning_scale
number
1
Conditioning scale for depth controlnet
scribble_image
string
Control image for scribble controlnet
scribble_conditioning_scale
number
1
Conditioning scale for scribble controlnet
tile_image
string
Control image for tile controlnet
tile_conditioning_scale
number
1
Conditioning scale for tile controlnet
brightness_image
string
Control image for brightness controlnet
brightness_conditioning_scale
number
1
Conditioning scale for brightness controlnet
inpainting_image
string
Control image for inpainting controlnet
mask_image
string
mask image for inpainting controlnet
inpainting_conditioning_scale
number
1
Conditioning scale for brightness controlnet
num_outputs
integer
1

Min: 1

Max: 10

Number of images to generate
max_width
integer
512
Max width/Resolution of image
max_height
integer
512
Max height/Resolution of image
consistency_decoder
boolean
True
Enable consistency decoder
scheduler
string (enum)
DDIM

Options:

DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, KLMS, PNDM, UniPCMultistep

Choose a scheduler.
num_inference_steps
integer
20
Steps to run denoising
guidance_scale
number
7

Min: 0.1

Max: 30

Scale for classifier-free guidance
seed
integer
Seed
eta
number
0
Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise
negative_prompt
string
Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality
Negative prompt - using compel, use +++ to increase words weight
guess_mode
boolean
False
In this mode, the ControlNet encoder will try best to recognize the content of the input image even if you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
disable_safety_check
boolean
False
Disable safety check. Use at your own risk!

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'}