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TigreGotico/voiceclonnx-rvc

sourceHugging Facemitupdated 4mo agoView on Hugging Face

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vconnx · RVC base models (pure ONNX)

Shared base components for RVC (MIT) inference in the vconnx voice-conversion library: ContentVec-768 content encoder + RMVPE pitch estimator. RVC is any-to-one — the target speaker lives in a separate per-voice net_g model (thousands of community-trained voices exist on HF); these two base models are voice-independent.

file	role	size
`contentvec_768l12.onnx`	content encoder (fp32)	360 MB
`contentvec_768l12_q8.onnx`	content encoder (int8)	91 MB
`rmvpe.onnx`	pitch estimator (fp32)	345 MB
`rmvpe_q8.onnx`	pitch estimator (int8)	94 MB

ContentVec export parity vs torch: max_abs 8.5e-06. Provenance in PROVENANCE.md.

Usage

python

from vconnx import VoiceCloner
# reference_voice = an RVC voice MODEL (.onnx path or HF id), not audio
out = VoiceCloner(engine="rvc").clone_voice("source.wav", "owner/repo::voice.onnx")