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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 |
|---|---|---|---|
| is_heartbeat |
boolean
|
False
|
Check if server alive
|
| pipe_type |
string
|
qr_prompt
|
qr_image or qr_prompt
|
| seed |
integer
|
Seed
|
|
| prompt_strength |
number
|
9
Min: 1 |
Prompt strength
|
| num_inference_steps |
integer
|
35
Min: 1 |
Iterations
|
| size |
integer
|
512
|
Size of the output image (square)
|
| qr_background |
string
|
{"image_url": "https://images.unsplash.com/photo-1686881537217-5bf3b5998cf1", "caption": "a sports car parked in front of a building"}
|
Reference Image for the QR
|
| qr_text |
string
|
http://qr.zust.ai
|
Text to encode into QR
|
| qr_prompt |
string
|
Prompt for Stylized QR Code
|
|
| qr_negative_prompt |
string
|
Negative Prompt for Stylized QR Code
|
|
| qr_background_strength |
number
|
Reference image's strength
|
|
| qr_fill_color |
string
|
#404040
|
Fill color for creaing QR code
|
| qr_control_scale |
string
|
Controlnet conditioning scale (multiple controlnet)
|
|
| qr_control_start |
string
|
Controlnet guide start (multiple controlnet)
|
|
| qr_control_end |
string
|
Controlnet guide end (multiple controlnet)
|
|
| fixer_control_scale |
string
|
Controlnet conditioning scale (multiple controlnet)
|
|
| fixer_control_start |
string
|
Controlnet guide start (multiple controlnet)
|
|
| fixer_control_end |
string
|
Controlnet guide end (multiple controlnet)
|
|
| with_detail |
boolean
|
False
|
Detailed output
|
| margin |
integer
|
10
Min: 1 |
Margin around QR
|
| margin_noise_level |
number
|
0.3
|
Noise in the margin area
|
| fixer_iteration_count |
integer
|
1
|
Iteration to fix the QR
|
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'}