You're looking at a specific version of this model. Jump to the model overview.
technillogue /lcm-webrtc:6e7c92dc
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 |
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
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
|
disable_safety_checker |
boolean
|
False
|
Disable safety checker for generated images. This feature is only available through the API
|
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'}