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andreasjansson /illusion:067f0c53
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
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of outputs
|
| controlnet_conditioning_scale |
number
|
2.2
Min: 1 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'}