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RVCMost likely: EnglishOriginal source listed

Ningguang 287model

A RVC model based on Ningguang from Genshin Impact, listed for voice conversion.

Created by xdcrosserxd · Added Jul 24, 2026

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Ningguang 287model model overview

Ningguang 287model is an RVC AI voice model based on Ningguang, credited to xdcrosserxd. Use it to transform recorded speech or vocals for voice-overs, dubbing, character voices, or music in an RVC-compatible app. Ningguang is associated with Genshin Impact. The available model data records Rmvpe and 287 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
Ningguang
Franchise
Genshin Impact
Training method
Rmvpe
Training epochs
287
Source platform
Hugging Face
Source destination
Direct model file
Use
voice conversion
Link status
Available when checkedLast checked Jul 23, 2026
License
openrail

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 artifactNingguang287model.zip
Known files in this package
  • Ningguang287model.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 →MORE FROM GENSHIN IMPACTBrowse Genshin Impact AI voicesSee voices, languages, and model versions →COMPATIBLE APPUse with Okada VCClientRVC models · checked 2026-07-20 →
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