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jagilley /stable-diffusion-upscaler:4d0aeee7
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
|
Image to be upscaled
|
|
| scale |
number
|
1.5
Max: 10 |
Factor to scale image by
|
| prompt |
string
|
|
Prompt. Not strictly required but can subtly affect the upscaling result.
|
| num_samples |
integer
|
1
|
Number of samples to generate
|
| batch_size |
integer
|
1
|
Batch size
|
| guidance_scale |
number
|
1
Max: 10 |
Scale factor for guidance
|
| decoder |
string
(enum)
|
finetuned_840k
Options: finetuned_840k, finetuned_560k |
Decoder to use
|
| noise_aug_level |
number
|
0
Max: 0.6 |
Noise augmentation level
|
| noise_aug_type |
string
(enum)
|
gaussian
Options: gaussian, fake |
Noise augmentation type
|
| sampler |
string
(enum)
|
k_dpm_adaptive
Options: k_euler, k_euler_ancestral, k_dpm_2_ancestral, k_dpm_fast, k_dpm_adaptive |
Sampler to use
|
| steps |
integer
|
10
|
Number of steps to take in the diffusion process
|
| tol_scale |
number
|
0.25
|
Tolerance scale
|
| eta |
number
|
1
|
ETA
|
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'}