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sakemin /musicgen-chord:0b0febd4

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
string
A description of the music you want to generate.
text_chords
string
A text based chord progression condition. Single uppercase alphabet character(eg. `C`) is considered as a major chord. Chord attributes like(`maj`, `min`, `dim`, `aug`, `min6`, `maj6`, `min7`, `minmaj7`, `maj7`, `7`, `dim7`, `hdim7`, `sus2` and `sus4`) can be added to the root alphabet character after `:`.(eg. `A:min7`) Each chord token splitted by `SPACE` is allocated to a single bar. If more than one chord must be allocated to a single bar, cluster the chords adding with `,` without any `SPACE`.(eg. `C,C:7 G, E:min A:min`) You must choose either only one of `audio_chords` below or `text_chords`.
bpm
number
BPM condition for the generated output. `text_chords` will be processed based on this value. This will be appended at the end of `prompt`.
time_sig
string
Time signature value for the generate output. `text_chords` will be processed based on this value. This will be appended at the end of `prompt`.
audio_chords
string
An audio file that will condition the chord progression. You must choose only one among `audio_chords` or `text_chords` above.
audio_start
integer
0
Start time of the audio file to use for chord conditioning.
audio_end
integer
End time of the audio file to use for chord conditioning. If None, will default to the end of the audio clip.
duration
integer
8
Duration of the generated audio in seconds.
continuation
boolean
False
If `True`, generated music will continue from `audio_chords`. If chord conditioning, this is only possible when the chord condition is given with `text_chords`. If `False`, generated music will mimic `audio_chords`'s chord.
multi_band_diffusion
boolean
False
If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion.
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
Seed for random number generator. If `None` or `-1`, a random seed will be used.

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'}