cinemasetfree.com
sakemin/musicgen-stereo-chord
Generate music in stereo, restricted to chord sequences and tempo
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
audio_chords | string (uri) | An audio file that will condition the chord progression. You must choose only one among `audio_chords` or `text_chords` above. | — | — |
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. | — | min: 0 |
audio_start | integer | Start time of the audio file to use for chord conditioning. | 0 | min: 0 |
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`. | — | — |
chroma_coefficient | number | Coefficient value multiplied to multi-hot chord chroma. | 1 | min: 0.5, max: 2.5 |
classifier_free_guidance | integer | Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs. | 3 | — |
continuation | boolean | 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. | false | — |
duration | integer | Duration of the generated audio in seconds. | 8 | — |
model_version | string | Model type. Select `fine-tuned` if you trained the model into your own repository. | "stereo-chord-large" | chord chord-large stereo-chord stereo-chord-large |
multi_band_diffusion | boolean | If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Not compatible with stereo models. | false | — |
normalization_strategy | string | Strategy for normalizing audio. | "loudness" | loudness clip peak rms |
output_format | string | Output format for generated audio. | "wav" | wav mp3 |
prompt | string | A description of the music you want to generate. | — | — |
seed | integer | Seed for random number generator. If `None` or `-1`, a random seed will be used. | — | — |
temperature | number | Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity. | 1 | — |
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`. | — | — |
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`. | "4/4" | — |
top_k | integer | Reduces sampling to the k most likely tokens. | 250 | — |
top_p | number | Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used. | 0 | — |
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_end integer End time of the audio file to use for chord conditioning. If None, will default to the end of the audio clip.
audio_start integer Start time of the audio file to use for chord conditioning.
0 min: 0 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`.
chroma_coefficient number Coefficient value multiplied to multi-hot chord chroma.
1 min: 0.5, max: 2.5 classifier_free_guidance integer Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.
3 continuation boolean 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.
false duration integer Duration of the generated audio in seconds.
8 model_version string Model type. Select `fine-tuned` if you trained the model into your own repository.
"stereo-chord-large" multi_band_diffusion boolean If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Not compatible with stereo models.
false normalization_strategy string Strategy for normalizing audio.
"loudness" output_format string Output format for generated audio.
"wav" prompt string A description of the music you want to generate.
seed integer Seed for random number generator. If `None` or `-1`, a random seed will be used.
temperature number Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity.
1 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`.
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`.
"4/4" top_k integer Reduces sampling to the k most likely tokens.
250 top_p number Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.
0 fbdc5ef72002 Updated: 2/26/2026 3.4K runs