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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
|
The Lovers demon skull werewolf tentacle tarot card | Tarot card on artstation | eldritch card
|
Text prompt to use.
|
| batch_size |
integer
|
3
Min: 1 Max: 6 |
Batch size. Number of generations to predict
|
| side_x |
None
|
64
|
Must be multiple of 8. Going above 64 is not recommended. Actual image will be 4x larger.
|
| side_y |
None
|
64
|
Must be multiple of 8. Going above 64 is not recommended. Actual image will be 4x larger.
|
| upsample_stage |
boolean
|
True
|
Performs prompt-aware upsampling by 4x base resolution
|
| guidance_scale |
number
|
4
|
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. 4-16 is a reasonable range.
|
| upsample_temp |
None
|
0.998
|
Upsample temperature. Consider lowering to ~0.997 for blurry images with fewer artifacts.
|
| timestep_respacing |
None
|
27
|
Number of timesteps to use for base model. Going above 50 has diminishing returns.
|
| sr_timestep_respacing |
None
|
17
|
Number of timesteps to use for base model. Going above 40 has diminishing returns.
|
| seed |
integer
|
0
|
Seed for reproducibility
|
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',
'x-cog-array-type': 'iterator'}