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fofr /latent-consistency-model:d6ea4b06

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
None
width/height
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
Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
num_images
integer
1
Number of images per prompt
num_inference_steps
integer
8
Number of denoising steps. Recommend 1 to 8 steps.
guidance_scale
number
8.0
Scale for classifier-free guidance
lcm_origin_steps
integer
50
None
seed
integer
Random seed. Leave blank to randomize the seed
control_image
string
Image for controlnet conditioning
controlnet_conditioning_scale
number
2.0
Controlnet conditioning scale
control_guidance_start
number
0.0
Controlnet start
control_guidance_end
number
1.0
Controlnet end
canny_low_threshold
number
100
Canny low threshold
canny_high_threshold
number
200
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'}