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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
|
Low quality input image.
|
|
| sr_scale |
number
|
4
|
Super-resolution scale.
|
| steps |
integer
|
45
Min: 1 Max: 500 |
Number of sampling steps
|
| tile_diffusion |
boolean
|
False
|
If specified, a patch-based sampling strategy for diffusion peocess will be used for sampling.
|
| tile_diffusion_size |
integer
|
512
|
Size of patch for diffusion process.
|
| tile_diffusion_stride |
integer
|
256
|
Stride of sliding patch for diffusion process.
|
| tile_vae |
boolean
|
False
|
If specified, a patch-based sampling strategy for the encoder and decoder in VAE will be used.
|
| vae_decoder_tile_size |
integer
|
224
|
Size of patch for VAE decoder, latent size.
|
| vae_encoder_tile_size |
integer
|
1024
|
Size of patch for VAE encoder, image size.
|
| color_fix_type |
string
(enum)
|
adain
Options: wavelet, adain, none |
Size of patch.
|
| t_max |
number
|
0.6667
|
The starting point of uniform sampling strategy.
|
| t_min |
number
|
0.3333
|
The ending point of uniform sampling strategy.
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
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'}