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fofr /lcm-animation:e5304056
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.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}