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fofr /lcm-animation:21c00b1d
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: 1.0 |
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.
|
| zoom_increment |
integer
|
0
Max: 4 |
Zoom increment percentage for each frame
|
| guidance_scale |
number
|
8.0
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'}