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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
|
A gentleman otter
|
Prompt for the model
|
| num_output_images |
integer
|
1
Min: 1 Max: 5 |
Number of output images
|
| prior_num_inference_steps |
integer
|
25
Min: 1 Max: 500 |
Number of denoising steps for prior. More denoising steps usually lead to a higher quality image at the expense of slower inference.
|
| decoder_num_inference_steps |
integer
|
25
Min: 1 Max: 500 |
The number of denoising steps for the decoder. More denoising steps usually lead to a higher quality image at the expense of slower inference.
|
| super_resolution_num_inference_steps |
integer
|
25
Min: 1 Max: 500 |
The number of denoising steps for super resolution. More denoising steps usually lead to a higher quality image at the expense of slower inference.
|
| prior_guidance_scale |
number
|
4
Min: 1 Max: 30 |
Higher values mean the text prompt will be more important than the image prompt. Also results in higher saturated images. Ideally keep values between 6-13.
|
| decoder_guidance_scale |
number
|
4
Min: 1 Max: 30 |
Higher values mean the text prompt will be more important than the image prompt. Also results in higher saturated images. Ideally keep values between 6-13.
|
| seed |
integer
|
-1
|
Seed for the model
|
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'}