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qr2ai /qr_code_ai_art_generator:faa5dd99
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 |
---|---|---|---|
qr_code_image |
string
|
The QR Code image (optional).
|
|
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
|
batch_size |
integer
|
1
Min: 1 Max: 4 |
Batch size for this prediction
|
strength |
number
|
0.9
Max: 1 |
Indicates how much to transform the masked portion of the reference `image`. Must be between 0 and 1.
|
controlnet_conditioning_scale |
number
|
1.5
Min: 1 Max: 2 |
The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added to the residual in the original unet.
|
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'}