You're looking at a specific version of this model. Jump to the model overview.
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 or zust_reference or depth
|
| seed |
integer
|
Seed
|
|
| prompt_strength |
number
|
9
Min: 0.01 |
Prompt strength
|
| num_inference_steps |
integer
|
30
Min: 1 |
Iterations
|
| size |
integer
|
512
|
Size of the output image (square)
|
| width |
integer
|
512
|
Width of the output image
|
| height |
integer
|
512
|
Height of the output image
|
| 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_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)
|
|
| subjects |
string
|
[{"image_url": "https://firebasestorage.googleapis.com/v0/b/zust-ai.appspot.com/o/example-subjects%2F0000_control.png?alt=media", "caption": "a sports car parked in front of a building", "top": 0.1, "left": 0, "angle": 0, "scale": 0.001}]
|
Subject control
|
| reference |
string
|
{"image_url": "https://firebasestorage.googleapis.com/v0/b/zust-ai.appspot.com/o/example-subjects%2F0000.png?alt=media", "caption": "a sports car parked in front of a building", "top": 0.0, "left": 0.0, "angle": 0, "scale": 0.0009765625}
|
Scene reference image
|
| background_strength |
number
|
0.6
|
Reference image's strength
|
| 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
|
| depth_image |
string
|
https://images.unsplash.com/photo-1686881537217-5bf3b5998cf1
|
Depth image
|
| depth_denoise_steps |
integer
|
10
|
Depth denoise steps
|
| depth_ensemble_size |
integer
|
10
Min: 1 |
Depth ensemble size
|
| depth_processing_res |
integer
|
768
|
Maximum resolution of processing. 0 for using input image resolution. Default: 768.
|
| depth_match_input_res |
boolean
|
False
|
Match input resolution
|
| url_to_encode |
string
|
https://www.google.com
|
URL to encode in QR
|
| image_url |
string
|
./ArtCoder/content/ca.jpg
|
Image URL
|
| version |
integer
|
5
|
Version
|
| level |
integer
|
2
|
Level
|
| mask |
integer
|
1
|
Mask
|
| rotation |
integer
|
0
|
Rotation
|
| style |
string
|
./ArtCoder/style/texture1.1.jpg
|
Style image
|
| epochs |
integer
|
300
|
Epochs
|
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'}