You're looking at a specific version of this model. Jump to the model overview.

fofr /latent-consistency-model:3497adb5

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
Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
For multiple prompts, enter each on a new line.
width
integer
768
Width of output image. Lower if out of memory
height
integer
768
Height of output image. Lower if out of memory
sizing_strategy
string (enum)
width/height

Options:

width/height, input_image, control_image

Decide how to resize images – use width/height, resize based on input image or control image
image
string
Input image for img2img
prompt_strength
number
0.8

Max: 1.0

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
num_images
integer
1

Min: 1

Max: 50

Number of images per prompt
num_inference_steps
integer
8

Min: 1

Max: 50

Number of denoising steps. Recommend 1 to 8 steps.
guidance_scale
number
8.0

Min: 1

Max: 20

Scale for classifier-free guidance
lcm_origin_steps
integer
50

Min: 1

None
seed
integer
Random seed. Leave blank to randomize the seed
control_image
string
Image for controlnet conditioning
controlnet_conditioning_scale
number
2.0

Min: 0.1

Max: 4.0

Controlnet conditioning scale
control_guidance_start
number
0.0

Max: 1.0

Controlnet start
control_guidance_end
number
1.0

Max: 1.0

Controlnet end
canny_low_threshold
number
100

Min: 1

Max: 255

Canny low threshold
canny_high_threshold
number
200

Min: 1

Max: 255

Canny high threshold
archive_outputs
boolean
False
Option to archive the output 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'}