feat: added 2 model
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README.md
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tags:
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- rvc
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# <center> RVC Genshin Impact Japanese Voice Model
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![model-cover.png](https://huggingface.co/ArkanDash/rvc-genshin-impact/resolve/main/model-cover.png)
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Learn more about Retrieval based Voice Conversion in this link below
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[RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
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Download the prezipped model and put to your RVC Project.
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Model test: [Google Colab](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing) / [RVC Models New](https://huggingface.co/spaces/ArkanDash/rvc-models-new) (Which is basically the same but hosted on spaces)
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Model Created by ArkanDash <br />
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The voice that was used in this model belongs to Hoyoverse.
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Total Models: 43 Models
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V1 Models: 19 <br />
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V2 Models: 24 <br />
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Duplicate: <br />
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- Zhongli (v1 & v2)
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- Nahida (v1 & v2)
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Plans:
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Have a request?
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I accept genshin character request if you want it.
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This was trained on Original RVC.<br />
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Pitch Extract using Harvest.<br />
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This model was trained with 100 epochs, 10 batch sizes, and a 40K sample rate (some models had a 48k sample rate).<br />
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Every V1 model was trained more or less around 30 minutes of character voice.
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This was trained on Mangio-Fork RVC.<br />
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Pitch Extract using Crepe.<br />
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This model was trained with 100 epochs, 8 batch sizes, and a 48K sample rate. (some models had a 40k sample rate).<br />
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Every V2 model was trained more or less around 60 minutes of character voice.
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- For faruzan, somehow the index file is smaller, But it output a log when training here: <br />
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`Converged (lack of improvement in inertia) at step 1152/48215` <br />
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I might retrain faruzan soon.
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tags:
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- rvc
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---
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# <center> RVC Genshin Impact Japanese Voice Model
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![model-cover.png](https://huggingface.co/ArkanDash/rvc-genshin-impact/resolve/main/model-cover.png)
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## About Retrieval based Voice Conversion (RVC)
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Learn more about Retrieval based Voice Conversion in this link below:
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[RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
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## How to use?
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Download the prezipped model and put to your RVC Project.
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Model test: [Google Colab](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing) / [RVC Models New](https://huggingface.co/spaces/ArkanDash/rvc-models-new) (Which is basically the same but hosted on spaces)
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## <center> INFO
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Model Created by ArkanDash
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The voice that was used in this model belongs to Hoyoverse.
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The voice I make to make this model was ripped from the game (3.6 - 4.0).
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#### Total Models: 45 Models
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V1 Models: 19
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V2 Models: 26
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Duplicate:
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- Zhongli (v1 & v2)
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- Nahida (v1 & v2)
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Plans:
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- Character from fontaine.
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- v2 model recreation from v1 model
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Note:
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- For faruzan, somehow the index file is smaller, Might retrain faruzan.
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Error message: `Converged (lack of improvement in inertia) at step 1152/48215` <br />
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- Furina has only 20 minutes of dataset. (Will update the model in the future when its 1 hour long)
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- New model will be created using v2 training, I'm no longer making v1 model.
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Have a request?
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I accept genshin character request if you want it.
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Other request outside playable character:<br />
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- Greater Lord Rukkhadevata: 750 Epochs, 16 Batch size, 48k Sample rate. (10 minutes dataset)
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- Charlotte: 400 Epochs, 16 Batch size, 48k Sample rate. (18 minutes dataset)
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## <center> Model Training Information
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### V1 Model Training <br />
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##### This was trained on Original RVC.
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Pitch Extract using Harvest.
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This model was trained with 100 epochs, 10 batch sizes, and a 40K sample rate (some models had a 48k sample rate).
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Every V1 model was trained more or less around 30 minutes of character voice.
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### V2 Model Training <br />
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##### This was trained on Mangio-Fork RVC.
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Pitch Extract using Crepe.
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This model was trained with 100 epochs, 8 batch sizes, and a 48K sample rate. (some models had a 40k sample rate).
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Every V2 model was trained more or less around 60 minutes of character voice.
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prezipped/v2/diona-jp 105 epochs 48k v2.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:42fc1ca0b526c8e08065f71fab4342b17fb5d72664cd1d30a350e174c22f518e
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size 368400627
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prezipped/v2/furina-jp 275 epochs 48k v2.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:478c50f20df781bab3244c16f82c26d4a1d17906e360a8afa01ae19b12914812
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size 153089927
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