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

batouresearch /high-resolution-controlnet-tile:2f9f1dcd

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 for the model
image
string
Control image for scribble controlnet
resolution
integer (enum)
2048

Options:

2048, 2560, 3072, 4096

Image resolution
condition_scale
number
0.5

Max: 1

Conditioning scale for controlnet
strength
number
0.5

Max: 1

Denoising strength. 1 means total destruction of the original image
scheduler
string (enum)
DDIM

Options:

DDIM, DPMSolverMultistep, K_EULER_ANCESTRAL, K_EULER

Choose a scheduler.
steps
integer
20
Steps
guidance_scale
number
7

Min: 0.1

Max: 30

Scale for classifier-free guidance
seed
integer
Seed
negative_prompt
string
Longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, mutant
Negative prompt
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.

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'}