Same creatorSame framework
A
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RVC·Language unverified
Alastor
Standalone artifact
by homiebear
Voice conversion
View modelDownload and source details→
HT
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RVCMost likely: EnglishOriginal source listed
Heavy TF 2 315 Epochs 18900 Steps
A RVC model based on Heavy, listed for voice conversion.
Created by homiebear · Added Jul 24, 2026
Source metadata recorded · No community reviews yet
ⓘ This model is hosted by an external provider. AIVoices does not store or distribute the model file.
MODEL FILEHeavyTF2_315e_18900s.zip
PACKAGE DETAILS1 known file
SOURCE SAMPLENo source sample linked
RECORDED VERSIONRVC
Heavy TF 2 315 Epochs 18900 Steps model overview
Heavy TF 2 315 Epochs 18900 Steps is an RVC AI voice model based on Heavy, credited to homiebear. 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 315 training epochs. The available metadata suggests English, but the language has not been confirmed.
Model details
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 artifactHeavyTF2_315e_18900s.zip
Known files in this package
- HeavyTF2_315e_18900s.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 →