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fofr /latent-consistency-model:cb2224cc
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
|
Input prompt
|
| 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 |
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 to output
|
| num_inference_steps |
integer
|
8
Min: 1 Max: 50 |
Number of denoising steps. Recommend 1 to 8 steps.
|
| guidance_scale |
number
|
8
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
Min: 0.1 Max: 4 |
Controlnet conditioning scale
|
| control_guidance_start |
number
|
0
Max: 1 |
Controlnet start
|
| control_guidance_end |
number
|
1
Max: 1 |
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.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}