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RVCMost likely: EnglishOriginal source listed

Sandy Cheeks CVLC1.5V1 265 Epochs 4770 Steps

A RVC model based on Sandy Cheeks, listed for voice conversion.

Created by yourlocalworm · Added Jul 24, 2026

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Sandy Cheeks CVLC1.5V1 265 Epochs 4770 Steps model overview

Sandy Cheeks CVLC1.5V1 265 Epochs 4770 Steps is an RVC AI voice model based on Sandy Cheeks, credited to yourlocalworm. Use it to transform recorded speech or vocals for voice-overs, dubbing, character voices, or music in an RVC-compatible app. The available model data records Rmvpe and 265 training epochs. The available metadata suggests English, but the language has not been confirmed.

Model details

Framework
RVC
Language
Most likely: EnglishLikely language · 75% confidence
Voice or character
Sandy Cheeks
Training method
Rmvpe
Training epochs
265
Source platform
Hugging Face
Source destination
Direct model file
Use
voice conversion
Link status
Available when checkedLast checked Jul 23, 2026
License
Declared on original page

Model package and sample

These details come from the exact external model record linked to this listing. AIVoices does not host the model or audio.

Download artifactSandyCheekscvlc1.5V1_265e_4770s.zip
Known files in this package
  • SandyCheekscvlc1.5V1_265e_4770s.zip

What can you use this RVC model for?

Start with a clean speech or vocal recording, load the model and its index in an RVC-compatible app, and test pitch and conversion settings on a short clip. This model is listed for voice conversion; check the download page for required files, setup notes, and current usage terms.

WHAT TO DO NEXT

Download it or find an app that supports it

Start with the original model page. App links only appear when we have reviewed compatibility information for this framework and version.

DOWNLOADDownload from Hugging FaceOpen the creator or uploader's source ↗FIND MORE MODELSBrowse RVC modelsOpen the complete framework directory →MORE ENGLISH MODELSBrowse English voice modelsOpen the documented language directory →COMPATIBLE APPUse with Okada VCClientRVC models · checked 2026-07-20 →
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