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omniedgeio /cog-flux:d18fc47c

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 young woman in a floral bikini stands on a beach, posing for a photo. she wears a necklace and seems to be enjoying her time at the beach. the sunset in the background adds a serene and picturesque atmosphere. the woman is the focal point of the scene, with the beach and sunset creating a peaceful and relaxing environment.
Prompt
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

Aspect ratio for the generated image
image
string
Input image
num_outputs
integer
1

Min: 1

Max: 10

Number of images to output.
num_inference_steps
integer
4

Min: 1

Max: 100

Number of denoising steps, schnell mode: 4, dev mode: free to set
guidance_scale
number
3.5

Min: 1

Max: 50

Scale for classifier-free guidance, for schnell mode, guiddance_scale is 0
mode
string (enum)
schnell

Options:

schnell, dev

Prediction Mode, schnell: fast, dev: high quality but slow
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
hf_lora
string
Huggingface path, or URL to the LoRA weights.
lora_scale
number
0.8

Max: 1

Scale for the LoRA weights
controlnet_conditioning_scale
number
0.6

Max: 1

Scale for the controlnet
control_mode
integer

Max: 6

ControlNet mode: 0: canny, 1: tile, 2: depth, 3: blur, 4:pose, 5: gray, 6: low quality
seed
integer
77
seed

Output schema

The shape of the response you’ll get when you run this model with an API.

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