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cjwbw /stable-diffusion-aesthetic-gradients:e2589736
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 |
None
|
1
|
How many samples to produce for each given prompt. A.k.a. batch size.
|
| width |
None
|
512
|
Width of the output image. Scale down if run out of memory.
|
| height |
None
|
512
|
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 |
None
|
sac_8plus
|
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'}