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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 |
---|---|---|---|
image |
string
|
Input image
|
|
user_prompt |
string
|
|
Prompt to condition on
|
positive_prompt |
string
|
clean, high-resolution, 8k
|
Prompt to add
|
negative_prompt |
string
|
dotted, noise, blur, lowres, smooth
|
Prompt to remove
|
cfg_scale |
number
|
5.5
Min: 0.1 Max: 10 |
Guidance scale, set value to >1 to use
|
num_inference_steps |
integer
|
50
Min: 10 Max: 100 |
Number of inference steps
|
sample_times |
integer
|
1
Min: 1 Max: 10 |
Number of samples to generate
|
latent_tiled_size |
integer
|
320
Min: 128 Max: 480 |
Size of latent tiles
|
latent_tiled_overlap |
integer
|
4
Min: 4 Max: 16 |
Overlap of latent tiles
|
scale_factor |
integer
|
4
|
Scale factor
|
seed |
integer
|
231
Max: 2147483647 |
Seed
|
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'}