#RefGanVCTKV2

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forest crest
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HF: https://huggingface.co/SimplCup/RefGanVCTKV2

This is a RefineGan RVC pretrain for training small models.

Epoch count: 341 (40k), 341+34 (32k)

Number os steps: 2600125 (40k), 2859375 (32k)

Total dataset length: 68 hours

Sample rate: 40k, 32k

Batch size: 12

To use this model u need to download Applio latest build in the main branch, and either replace the pretrains in rvc/models/pretraineds/pretraineds_v2 or put them in pretraineds_custom and then choose the weights in the ui.

quasi pecan
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rip the electric bill

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why is there a robotic noise on hifi gan?

flat blade
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for example if u look at hifigans output of bbnos you will hear that the esses tended to be softer and nicer, you can hear the difference between the to at 0:25

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refinegan poorly reproduces whereas hifigan clearly does a little better and vice versa

quasi pecan
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does it have a singing speaker?

forest crest
quasi pecan
forest crest
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32k version is up

quasi pecan
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is there 44k or is it still training?

forest crest
earnest oyster
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Does Refine GAN sound better than HiFi

forest crest
earnest oyster
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What do you mean stable?

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Like it can handle more emotional speech? Without breaking?

forest crest
earnest oyster
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Ohh

quasi pecan
quasi pecan
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very gud for a 1 H O U R dataset

lunar wave
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Hmmmm

While KLM5 RefineGAN not working properly for me (My Datasets), this VCTK v2 working properly, nice and Thank You

10 Minute Dataset, Batch 4 RMVPE

earnest oyster
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This pretrain is super good

quasi pecan
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me training again cuz i ran out of credits on lightning ai

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good thing the g and d file was saved

quasi pecan
ripe fjord
forest crest
round storm
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need a little help, where is the refgan vocoder option? using main branch

flat blade
ripe fjord
flat blade
cold lake