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andreasjansson /stable-diffusion-animation:d31ddf67
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_start |
string
|
Prompt to start the animation with
|
|
| prompt_end |
string
|
Prompt to end the animation with
|
|
| width |
integer
(enum)
|
512
Options: 128, 256, 512, 768, 1024 |
Width of output image
|
| height |
integer
(enum)
|
512
Options: 128, 256, 512, 768 |
Height of output image
|
| num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
| prompt_strength |
number
|
0.8
|
Lower prompt strength generates more coherent gifs, higher respects prompts more but can be jumpy
|
| num_animation_frames |
integer
|
10
Min: 2 Max: 50 |
Number of frames to animate
|
| num_interpolation_steps |
integer
|
5
Min: 1 Max: 50 |
Number of steps to interpolate between animation frames
|
| guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| gif_frames_per_second |
integer
|
20
Min: 1 Max: 50 |
Frames/second in output GIF
|
| gif_ping_pong |
boolean
|
False
|
Whether to reverse the animation and go back to the beginning before looping
|
| film_interpolation |
boolean
|
False
|
Whether to use FILM for between-frame interpolation (film-net.github.io)
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}