Simple RVC
A Simple RVC Inference
How to Use
Initialize Configuration
First, initialize the configuration using your provided Config class:
config = Config(device="cuda:0", is_half=True)
Create an Instance of the RVC Utility
Next, create an instance of the RVCUtil:
from srvc import RVCUtil
rvc_util = RVCUtil(device="cuda:0", is_half=True, config=config)
Load the Hubert Model
Load the Hubert model with the following command:
hubert_model = rvc_util.load_hubert("path/to/hubert_model.pt")
Load the Voice Conversion Model
Load the voice conversion model using:
cpt, version, net_g, tgt_sr, vc = rvc_util.get_vc("path/to/vc_model.pth")
Run Inference
Finally, run the inference with the desired parameters:
rvc_util.rvc_infer(
index_path="path/to/index_file",
index_rate=0.5,
input_path="path/to/input.wav",
output_path="path/to/output.wav",
pitch_change=0.0,
f0_method="rmvpe", # example: 'rmvpe' or 'fcpe'
cpt=cpt,
version=version,
net_g=net_g,
filter_radius=3,
tgt_sr=tgt_sr,
rms_mix_rate=0.33,
protect=0.33,
crepe_hop_length=160,
vc=vc,
hubert_model=hubert_model,
f0autotune=False
)
Notes
- Ensure that you replace the placeholder paths (e.g.,
path/to/hubert_model.pth) with the actual paths to your model files. - Adjust the inference parameters according to your requirements.
This should make the README more structured and easier to follow.
Metadata
Release files for srvc 0.1.0
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| File | Interpreter | ABI | Platform | Actions Reset |
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Total release size: 6.2 kB
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