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ariel415el /gpdm:f23afd8e
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 |
|---|---|---|---|
| task |
string
(enum)
|
Reshuffle
Options: Reshuffle, Retarget, Style-transfer |
(Reshuffle): Start from a noisy and generates samples from the same scene in the reference image.
(Retarget): Start from a stretched version of the reference and recreates the scene in another aspect ratio.
(Style-transfer): Recreates a content-image with the style of the reference image
|
| num_outputs |
integer
|
4
|
How many output images to generate, Generating multiple images at once improves the quality and diversity of the results
|
| num_projections |
integer
|
64
|
Number of ramdom projections for SWD. More is better results but is slower and memory inefficient
|
| patch_size |
integer
|
8
|
Size of the extracted a patches, I found 11 to work better for style transfer
|
| max_size |
integer
|
Limit the image resolution
|
|
| height_factor |
integer
|
1
|
Change the output's aspect ratio (Retargeting)
|
| width_factor |
integer
|
1
|
Change the output's aspect ratio (Retargeting)
|
| reference_image |
string
|
The main input image - Style image in style-transfer.
|
|
| content_image |
string
|
Only relevant for style-transfer
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}