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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
|
Prompt for generated image
|
|
| aspect_ratio |
string
(enum)
|
1:1
Options: 1:1, 16:9, 21:9, 2:3, 3:2, 4:5, 5:4, 9:16, 9:21, custom |
Aspect ratio for the generated image. The size will always be 1 megapixel, i.e. 1024x1024 if aspect ratio is 1:1. To use arbitrary width and height, set aspect ratio to 'custom'.
|
| width |
integer
|
Min: 256 Max: 1440 |
Width of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)
|
| height |
integer
|
Min: 256 Max: 1440 |
Height of the generated image. Optional, only used when aspect_ratio=custom. Must be a multiple of 16 (if it's not, it will be rounded to nearest multiple of 16)
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| lora_scale |
number
|
1
Min: -1 Max: 2 |
Determines how strongly the LoRA should be applied. Sane results between 0 and 1.
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of inference steps
|
| model |
string
(enum)
|
dev
Options: dev, schnell |
Which model to run inferences with. The dev model needs around 28 steps but the schnell model only needs around 4 steps.
|
| guidance_scale |
number
|
3.5
Max: 10 |
Guidance scale for the diffusion process
|
| seed |
integer
|
Random seed. Set for reproducible generation
|
|
| output_format |
string
(enum)
|
webp
Options: webp, jpg, png |
Format of the output images
|
| output_quality |
integer
|
80
Max: 100 |
Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
|
| disable_safety_checker |
boolean
|
False
|
Disable safety checker for generated images.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}