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fofr /lcm-animation:5c69907b

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
start_prompt
string
Self-portrait oil painting, a beautiful cyborg with golden hair, 8k
Prompt to start with, if not using an image
end_prompt
string
Self-portrait watercolour, a beautiful cyborg with purple hair, 8k
Prompt to animate towards
image
string
Starting image if not using a prompt
width
integer
512
Width of output. Lower if out of memory
height
integer
512
Height of output. Lower if out of memory
iterations
integer
12
Number of times to repeat the img2img pipeline
prompt_strength
number
0.2

Max: 1

Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
num_inference_steps
integer
8

Min: 1

Max: 50

Number of denoising steps. Recommend 1 to 8 steps.
use_canny_control_net
boolean
True
Use canny edge detection to guide animation
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
zoom_increment
integer
0

Max: 4

Zoom increment percentage for each frame
guidance_scale
number
8

Min: 1

Max: 20

Scale for classifier-free guidance
seed
integer
Random seed. Leave blank to randomize the seed
return_frames
boolean
False
Return a tar file with all the frames alongside the video

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'}