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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 |
|---|---|---|---|
| prompt |
string
|
pattern
|
Specify things that you want to put in the output
|
| negative_prompt |
string
|
<fast_neg>, <deep_neg>
|
Specify things that you don't want to put in the output
|
| num_outputs |
integer
|
4
Min: 1 Max: 4 |
Number of images to output.
|
| num_inference_steps |
integer
|
30
Min: 1 Max: 100 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| width |
integer
|
512
Max: 1024 |
Width
|
| height |
integer
|
512
Max: 1024 |
Height
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| style |
string
(enum)
|
General
Options: Technical, Leather, Parametric, Nature, General |
Option for style
|
| style_strength |
number
|
0.95
Max: 2 |
Scale for strength of LoRA
|
| rank |
integer
(enum)
|
64
Options: 64, 32, 16 |
Dimension of the LoRA update matrices
|
| sharpen |
boolean
|
True
|
Sharpen image
|
| radius |
integer
|
1
Min: 1 Max: 15 |
Radius of the sharpening kernel
|
| alpha |
number
|
1
Max: 5 |
Strength of the sharpening kernel
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}