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jyoung105 /instant-style-control:ba01839d
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 |
---|---|---|---|
style_image |
string
|
Input reference image for style
|
|
control_image |
string
|
Input reference image for original composition
|
|
prompt |
string
|
Input prompt
|
|
negative_prompt |
string
|
Input negative prompt
|
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of output images
|
num_inference_steps |
integer
|
8
Min: 1 Max: 50 |
Number of denoising steps
|
guidance_scale |
number
|
1
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
style_strength |
number
|
1
Max: 2 |
Conditioning scale for ip-adapter
|
structure_strength |
number
|
0.6
Max: 1 |
Conditioning scale for controlnet
|
block_mode |
string
(enum)
|
style-only
Options: original, style-only, style-and-layout |
Mode to reference the image: original, style with or without layout
|
adapter_mode |
string
(enum)
|
original
Options: original, plus |
Mode to reference the image: high flexibility but low fidelity or low flexibility but high fidelity
|
enable_negative_content |
boolean
|
False
|
Choose whether you extract only style part of prompt or not
|
negative_content |
string
|
Input negative prompt
|
|
negative_content_strength |
number
|
0.5
Max: 1 |
Conditioning scale for content you want to exclude
|
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'}