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cjwbw /stable-diffusion-aesthetic-gradients:1c590b90
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 |
---|---|---|---|
prompt |
string
|
a painting of a rvirus monster playing guita
|
The prompt to render.
|
n_samples |
integer
(enum)
|
1
Options: 1, 4 |
How many samples to produce for each given prompt. A.k.a. batch size.
|
width |
integer
(enum)
|
512
Options: 128, 256, 512, 768, 1024 |
Width of the output image. Scale down if run out of memory.
|
height |
integer
(enum)
|
512
Options: 128, 256, 512, 768, 1024 |
Height of the output image. Scale down if run out of memory.
|
scale |
number
|
7.5
|
Unconditional guidance scale: eps = eps(x, empty) + scale * (eps(x, cond) - eps(x, empty)).
|
ddim_steps |
integer
|
50
|
Number of ddim sampling steps.
|
plms |
boolean
|
True
|
Set to true to use plms sampling
|
aesthetic_embedding |
string
(enum)
|
sac_8plus
Options: gloomcore, flower_plant, sac_8plus, cloudcore, aivazovsky, glowwave, fantasy, laion_7plus |
aesthetic embedding file
|
aesthetic_steps |
integer
|
10
|
Number of steps for the aesthetic personalization.
|
seed |
integer
|
The seed (for reproducible sampling).
|
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'}