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

qr2ai /img2paint_controlnet:dec8d855

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 for img2img or inpaint mode
qr_data
string
The data to be encoded in a QR code.
prompt
string
aerial view, a futuristic research complex in a bright foggy jungle, hard lighting
Input prompt
negative_prompt
string
low quality, bad quality, sketches
Input Negative Prompt
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
condition_scale
number
0.5

Max: 1

controlnet conditioning scale for generalization
seed
integer
0
Random seed. Set to 0 to randomize the seed

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'}