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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 |
|---|---|---|---|
| prompt |
string
|
|
Text prompt to use. Keep it simple/literal and avoid using poetic language (unlike CLIP).
|
| batch_size |
integer
|
1
Min: 1 Max: 4 |
Batch size. Number of generations to predict
|
| side_x |
integer
(enum)
|
Options: 32, 48, 64, 80, 96, 112, 128 |
Must be multiple of 8. Going above 64 is not recommended.
|
| side_y |
integer
(enum)
|
Options: 32, 48, 64, 80, 96, 112, 128 |
Must be multiple of 8. Going above 64 is not recommended.
|
| guidance_scale |
number
|
4.0
|
Classifier-free guidance scale. Higher values move further away from unconditional outputs. Lower values move closer to unconditional outputs. Negative values guide towards semantically opposite classes.
|
| upsample_temp |
number
|
0.997
Min: 0.75 Max: 1.0 |
Upsample temperature. Consider lowering to ~0.997 for blurry images with fewer artifacts.
|
| timestep_respacing |
string
(enum)
|
150
Options: 25, 50, 100, 150, 250 |
Number of timesteps to use for base model. Going above 150 has diminishing returns.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'properties': {'file': {'format': 'uri',
'type': 'string',
'x-order': 0},
'text': {'type': 'string', 'x-order': 1}},
'type': 'object'},
'type': 'array',
'x-cog-array-type': 'iterator'}