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fofr /sandbox:3f32ef13

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, 3:2, 2:3, 4:5, 5:4, 3:4, 4:3, 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.

Schema
{'items': {'format': 'uri', 'type': 'string'},
 'title': 'Output',
 'type': 'array'}