mirror of
https://github.com/storytold/storyteller-ml.git
synced 2026-10-29 09:18:21 +00:00
Justin John
46 lines
1.4 KiB
Markdown
46 lines
1.4 KiB
Markdown
```sh
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virtualenv env
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source env/bin/activate
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pip install -r requirements.txt
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python3 fakeyou_infer-v2.py 0 "Path/to/the/input/audio file/Chug_Jug.wav" "Path/to/the/index file/added_IVF2933_Flat_nprobe_10.index" harvest "Path/to/the/output audio file/test_v2.wav" "Path/to/the/trained model/biggie-smalls.pth" 0.66 cuda:0 True 3 0 1 0.33
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Example:
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python3 fakeyou_infer-v2.py 0 "E:\codes\py39\RVC-beta\todo-songs\1111.wav" "E:\codes\py39\test-20230416b\logs\mi-test-v2\aadded_IVF677_Flat_nprobe_1_v2.index" harvest "test_v2.wav" "E:\codes\py39\test-20230416b\weights\mi-test-v2.pth" 0.66 cuda:0 True 3 0 1 0.33
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```
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Each argument passed to the script is used as follows:
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`f0up_key`: The f0 key for the input audio file.
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`input_path`: Path to the input audio file.
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`index_path`: Path to the index file.
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`f0method`: F0 estimation method to be used ('harvest' or 'pm').
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`opt_path`: Path to the output audio file.
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`model_path`: Path to the trained model.
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`index_rate`: The rate for the index.
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`device`: The computation device to be used ('cuda:0' for GPU or 'cpu' for CPU).
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`is_half`: Boolean value indicating whether to use half precision. Use 'True' for half precision and 'False' for full precision.
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`filter_radius`: The radius of the filter.
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`resample_sr`: The sample rate for resampling.
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`rms_mix_rate`: The RMS mix rate.
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`protect`: The protect value.
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See `fakeyou_infer-v2.py` for more info
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