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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 |
|---|---|---|---|
| model_version |
string
(enum)
|
melody
Options: large, melody |
Model to use for generation
|
| prompt |
string
|
A description of the music you want to generate
|
|
| melody |
string
|
An audio file that will influence the generated music. If `continuation` is `True`, the generated music will be a continuation of the audio file. Otherwise, the generated music will mimic the audio file's melody.
|
|
| duration |
integer
|
8
Max: 30 |
Duration of the generated audio in seconds
|
| continuation |
boolean
|
False
|
If `True`, generated music will continue `melody`. Otherwise, generated music will mimic `melody`'s melody.
|
| continuation_start |
integer
|
0
|
Start time of the audio file to use for continuation
|
| continuation_end |
integer
|
8
|
End time of the audio file to use for continuation
|
| normalization_strategy |
string
(enum)
|
loudness
Options: loudness, clip, peak, rms |
Strategy for normalizing audio
|
| top_k |
integer
|
250
|
Reduces sampling to the k most likely tokens
|
| top_p |
number
|
0
|
Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.
|
| temperature |
number
|
1
|
Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity
|
| classifier_free_guidance |
integer
|
3
|
Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.
|
| output_format |
string
(enum)
|
wav
Options: wav, mp3 |
Output format for generated audio
|
| seed |
integer
|
-1
|
Seed for random number generator. Default is -1 for random 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'}