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pollinations/stable-diffusion-dance:dc665c16
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 painting of a moth
A painting of a killer dragonfly by paul klee, intricate detail
Two fishes talking to eachother in deep sea, art by hieronymus bosch
|
None
|
| style_suffix |
string
|
by paul klee, intricate details
|
Style suffix to add to the prompt. This can be used to add the same style to each prompt.
|
| audio_file |
string
|
input audio file
|
|
| prompt_scale |
number
|
15
|
Determines influence of your prompt on generation.
|
| random_seed |
integer
|
13
|
Each seed generates a different image
|
| diffusion_steps |
integer
|
20
|
Number of diffusion steps. Higher steps could produce better results but will take longer to generate. Maximum 30 (using K-Euler-Diffusion).
|
| audio_smoothing |
number
|
0.8
|
Audio smoothing factor.
|
| audio_noise_scale |
number
|
0.3
|
Larger values mean audio will lead to bigger changes in the image.
|
| audio_loudness_type |
string
(enum)
|
peak
Options: rms, peak |
Type of loudness to use for audio. Options are 'rms' or 'peak'.
|
| frame_rate |
number
|
16
|
Frames per second for the generated video.
|
| width |
integer
|
384
|
Width of the generated image. The model was really only trained on 512x512 images. Other sizes tend to create less coherent images.
|
| height |
integer
|
512
|
Height of the generated image. The model was really only trained on 512x512 images. Other sizes tend to create less coherent images.
|
| batch_size |
integer
|
24
|
Number of images to generate at once. Higher batch sizes will generate images faster but will use more GPU memory i.e. not work depending on resolution.
|
| frame_interpolation |
boolean
|
True
|
Whether to interpolate between frames using FFMPEG or not.
|
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',
'x-cog-array-type': 'iterator'}