sakemin/musicgen-stereo-chord 🔢📝🖼️✓❓ → 🖼️
About
Generate music in stereo, restricted to chord sequences and tempo
Example Output
Prompt:
"bossa nova with viola"
Output
Performance Metrics
51.02s
Prediction Time
51.06s
Total Time
All Input Parameters
{
"bpm": 90,
"top_k": 250,
"top_p": 0,
"prompt": "bossa nova with viola",
"duration": 30,
"time_sig": "4/4",
"audio_start": 0,
"temperature": 1,
"text_chords": "C G:dim7 F:7 A:min",
"continuation": false,
"model_version": "stereo-chord-large",
"output_format": "wav",
"chroma_coefficient": 1,
"multi_band_diffusion": false,
"normalization_strategy": "loudness",
"classifier_free_guidance": 3
}
Input Parameters
- bpm
- BPM condition for the generated output. `text_chords` will be processed based on this value. This will be appended at the end of `prompt`.
- seed
- Seed for random number generator. If `None` or `-1`, a random seed will be used.
- top_k
- Reduces sampling to the k most likely tokens.
- top_p
- Reduces sampling to tokens with cumulative probability of p. When set to `0` (default), top_k sampling is used.
- prompt
- A description of the music you want to generate.
- duration
- Duration of the generated audio in seconds.
- time_sig
- 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_end
- End time of the audio file to use for chord conditioning. If None, will default to the end of the audio clip.
- audio_start
- Start time of the audio file to use for chord conditioning.
- temperature
- Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity.
- text_chords
- 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`.
- audio_chords
- An audio file that will condition the chord progression. You must choose only one among `audio_chords` or `text_chords` above.
- continuation
- 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.
- model_version
- Model type. Select `fine-tuned` if you trained the model into your own repository.
- output_format
- Output format for generated audio.
- chroma_coefficient
- Coefficient value multiplied to multi-hot chord chroma.
- multi_band_diffusion
- If `True`, the EnCodec tokens will be decoded with MultiBand Diffusion. Not compatible with stereo models.
- normalization_strategy
- Strategy for normalizing audio.
- classifier_free_guidance
- Increases the influence of inputs on the output. Higher values produce lower-varience outputs that adhere more closely to inputs.
Output Schema
Output
Example Execution Logs
/root
/src
Using seed 2467281980
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CLIPPING out happening with proba (a bit of clipping is okay): 4.947916750097647e-05 maximum scale: 1.175938367843628
Version Details
- Version ID
fbdc5ef7200220ed300015d9b4fd3f8e620f84547e970b23aa2be7f2ff366a5b- Version Created
- November 28, 2023