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okgodoit-repos /mindprint-sd15:8c153cdd
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 photo of an astronaut riding a horse on mars
|
Input prompt
|
| negative_prompt |
string
|
|
Specify things to not see in the output
|
| width |
None
|
512
|
Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| height |
None
|
512
|
Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
None
|
DPMSolverMultistep
|
Choose a scheduler.
|
| seed |
integer
|
-1
|
Random seed. Use -1 (the default) to randomize.
|
| upscale |
boolean
|
False
|
Whether to upscale the image 2x
|
| tiling |
None
|
enable
|
Tiling is always enabled (circular conv padding); accepted for API compatibility
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to generate
|
| pattern_collection_id |
integer
|
-1
|
Pattern collection ID
|
| metadata |
string
|
|
Opaque metadata passed through to the webhook
|
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'}