kokoro-82m-coreml

621
8
1 language
license:apache-2.0
by
FluidInference
Audio Model
OTHER
New
621 downloads
Early-stage
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Quick Summary

Based on the original kokoro model, see https://github.

Code Examples

Kokoro-82M PyTorch (CPU)bash
KPipeline benchmark for voice af_heart (warm-up took 0.175s) using hexgrad/kokoro
Test   Chars    Output (s)   Inf(s)       RTFx       Peak GB
1      42       2.750        0.187        14.737x    1.44
2      129      8.625        0.530        16.264x    1.85
3      254      15.525       0.923        16.814x    2.65
4      93       6.125        0.349        17.566x    2.66
5      104      7.200        0.410        17.567x    2.70
6      130      9.300        0.504        18.443x    2.72
7      197      12.850       0.726        17.711x    2.83
8      6        1.350        0.098        13.823x    2.83
9      1228     76.200       4.342        17.551x    3.19
10     567      35.200       2.069        17.014x    4.85
11     4615     286.525      17.041       16.814x    4.78
Total  -        461.650      27.177       16.987x    4.85
Kokoro-82M PyTorch (MPS)bash
KPipeline benchmark for voice af_heart (warm-up took 0.568s) using pip package
Test   Chars    Output (s)   Inf(s)       RTFx       Peak GB
1      42       2.750        0.414        6.649x     1.41
2      129      8.625        0.729        11.839x    1.54
Total  -        11.375       1.142        9.960x     1.54
Kokoro-82M MLX Pipelinebash
TTS benchmark for voice af_heart (warm-up took an extra 2.155s) using model prince-canuma/Kokoro-82M
Test   Chars    Output (s)   Inf(s)       RTFx       Peak GB
1      42       2.750        0.347        7.932x     1.12
2      129      8.650        0.597        14.497x    2.47
3      254      15.525       0.825        18.829x    2.65
4      93       6.125        0.306        20.039x    2.65
5      104      7.200        0.343        21.001x    2.65
6      130      9.300        0.560        16.611x    2.65
7      197      12.850       0.596        21.573x    2.65
8      6        1.350        0.364        3.706x     2.65
9      1228     76.200       2.979        25.583x    3.29
10     567      35.200       1.374        25.615x    3.37
11     4615     286.500      11.112       25.783x    3.37
Total  -        461.650      19.401       23.796x    3.37
Swift + Fluid Audio Core ML modelsbash
> swift run fluidaudio tts --benchmark
...
FluidAudio TTS benchmark for voice af_heart (warm-up took an extra 2.348s)
Test   Chars    Ouput (s)    Inf(s)       RTFx
1      42       2.825        0.440        6.424x
2      129      7.725        0.594        13.014x
3      254      13.400       0.776        17.278x
4      93       5.875        0.587        10.005x
5      104      6.675        0.613        10.889x
6      130      8.075        0.621        13.008x
7      197      10.650       0.627        16.983x
8      6        0.825        0.360        2.290x
9      1228     67.625       2.362        28.625x
10     567      33.025       1.341        24.619x
11     4269     247.600      9.087        27.248x
Total  -        404.300      17.408       23.225

Peak memory usage (process-wide): 1.503 GB

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