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andreasjansson /illusion:75d51a73
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
|
The prompt to guide QR Code generation.
|
|
qr_code_content |
string
|
The website/content your QR Code will point to.
|
|
negative_prompt |
string
|
ugly, disfigured, low quality, blurry, nsfw
|
The negative prompt to guide image generation.
|
num_inference_steps |
integer
|
40
Min: 20 Max: 100 |
Number of diffusion steps
|
guidance_scale |
number
|
7.5
Min: 0.1 Max: 30 |
Scale for classifier-free guidance
|
seed |
integer
|
-1
|
Seed
|
width |
integer
|
768
|
Width out the output image
|
height |
integer
|
768
|
Height out the output image
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of outputs
|
image |
string
|
Input image. If none is provided, a QR code will be generated
|
|
controlnet_conditioning_scale |
number
|
2.2
Max: 4 |
The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added to the residual in the original unet.
|
border |
integer
|
1
Max: 4 |
QR code border size
|
qrcode_background |
string
(enum)
|
gray
Options: gray, white |
Background color of raw QR code
|
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'}