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wcarle /stable-diffusion-videos-mo-di:5c3d7443
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 |
---|---|---|---|
prompts |
string
|
a cat | a dog | a horse
|
Input prompts, separate each prompt with '|'.
|
seeds |
string
|
Random seed, separated with '|' to use different seeds for each of the prompt provided above. Leave blank to randomize the seed.
|
|
scheduler |
string
(enum)
|
klms
Options: default, ddim, klms |
Choose the scheduler
|
num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps for each image generated from the prompt
|
guidance_scale |
number
|
7.5
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
num_steps |
integer
|
50
|
Steps for generating the interpolation video. Recommended to set to 3 or 5 for testing, then up it to 60-200 for better results.
|
fps |
integer
|
15
Min: 5 Max: 60 |
Frame rate for the video.
|
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'}