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qr2ai /outline:1a21cbac

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
Modern skyscraper, glass facade, urban skyline, clear day
Input prompt
suffix_prompt
string
Futuristic Concept, Cutting-Edge Technology, Historical Landmark, Timeless Aesthetics, sharp focus, 8k, uhd, file grain, masterpiece
Additional prompt
negative_prompt
string
Dull and Lifeless Colors, Poor Lighting, Blurred and Unfocused, Overexposed Highlights, Crowded and Cluttered, Distorted Perspective, Gritty Texture, low res, draft, cgi, low quality render, thumbnail
Input Negative Prompt
image
string
Input image for img2img or inpaint mode
width
integer
1024
Width of output image
height
integer
1024
Height of output image
generate_square
boolean
False
Whether generate square image, assert height == width
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
35

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 50

Scale for classifier-free guidance
adapter_conditioning_scale
number
0.9

Max: 2

Scale for adapter module
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
{'items': {'format': 'uri', 'type': 'string'},
 'title': 'Output',
 'type': 'array'}