Update instructions for ROCM

README.md

@@ -73,6 +73,7 @@ sh ./run.sh
 	```bash
 	pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
 	```
+
 3. Install the corresponding dependencies according to your own graphics card.
 - Nvidia GPU
 	```bash
@@ -91,6 +92,11 @@ sh ./run.sh
 	pip install -r requirements/ipex.txt
 	```
 
+4.If you are using an ROCM-capable AMD Radeon GPU, then you need to choose ROCM version of PyTorch.
+	```bash
+	pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
+	```
+
 ## Preparation of Other Files
 ### 1. Assets
 > RVC requires some models located in the `assets` folder for inference and training.
@@ -156,8 +162,8 @@ pacman -S rocm-hip-sdk rocm-opencl-sdk
 ````
 For some models of graphics cards, you may need to configure the following environment variables (such as: RX6700XT).
 ````
-export ROCM_PATH=/opt/rocm
-export HSA_OVERRIDE_GFX_VERSION=10.3.0
+export ROCM_PATH=/opt/rocm #Set ROCM Executables Path
+export HSA_OVERRIDE_GFX_VERSION=10.3.0 #Spoof GPU Model for ROCM
 ````
 Also, make sure your current user is in the `render` and `video` user groups.
 ````

docs/en/README.en.md

@@ -0,0 +1,221 @@
+<div align="center">
+
+<h1>Retrieval-based-Voice-Conversion-WebUI</h1>
+An easy-to-use Voice Conversion framework based on VITS.<br><br>
+
+[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange
+)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
+
+<img src="https://counter.seku.su/cmoe?name=rvc&theme=r34" /><br>
+
+[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
+[![Licence](https://img.shields.io/github/license/RVC-Project/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
+[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-yellow.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
+
+[![Discord](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk)
+
+[**Changelog**](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_EN.md) | [**FAQ (Frequently Asked Questions)**](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions)) 
+
+[**English**](../en/README.en.md) | [**中文简体**](../../README.md) | [**日本語**](../jp/README.ja.md) | [**한국어**](../kr/README.ko.md) ([**韓國語**](../kr/README.ko.han.md)) | [**Français**](../fr/README.fr.md) | [**Türkçe**](../tr/README.tr.md) | [**Português**](../pt/README.pt.md)
+
+</div>
+
+> Check out our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
+
+<table>
+   <tr>
+		<td align="center">Training and inference Webui</td>
+		<td align="center">Real-time voice changing GUI</td>
+	</tr>
+  <tr>
+		<td align="center"><img src="https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/092e5c12-0d49-4168-a590-0b0ef6a4f630"></td>
+    <td align="center"><img src="https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/730b4114-8805-44a1-ab1a-04668f3c30a6"></td>
+	</tr>
+	<tr>
+		<td align="center">go-web.bat</td>
+		<td align="center">go-realtime-gui.bat</td>
+	</tr>
+  <tr>
+    <td align="center">You can freely choose the action you want to perform.</td>
+		<td align="center">We have achieved an end-to-end latency of 170ms. With the use of ASIO input and output devices, we have managed to achieve an end-to-end latency of 90ms, but it is highly dependent on hardware driver support.</td>
+	</tr>
+</table>
+
+> The dataset for the pre-training model uses nearly 50 hours of high quality audio from the VCTK open source dataset.
+
+> High quality licensed song datasets will be added to the training-set often for your use, without having to worry about copyright infringement.
+
+> Please look forward to the pretrained base model of RVCv3, which has larger parameters, more training data, better results, unchanged inference speed, and requires less training data for training.
+
+## Features:
++ Reduce tone leakage by replacing the source feature to training-set feature using top1 retrieval;
++ Easy + fast training, even on poor graphics cards;
++ Training with a small amounts of data (>=10min low noise speech recommended);
++ Model fusion to change timbres (using ckpt processing tab->ckpt merge);
++ Easy-to-use WebUI;
++ UVR5 model to quickly separate vocals and instruments;
++ High-pitch Voice Extraction Algorithm [InterSpeech2023-RMVPE](#Credits) to prevent a muted sound problem. Provides the best results (significantly) and is faster with lower resource consumption than Crepe_full;
++ AMD/Intel graphics cards acceleration supported;
++ Intel ARC graphics cards acceleration with IPEX supported.
+
+## Preparing the environment
+The following commands need to be executed with Python 3.8 or higher.
+
+(Windows/Linux)
+First install the main dependencies through pip:
+```bash
+# Install PyTorch-related core dependencies, skip if installed
+# Reference: https://pytorch.org/get-started/locally/
+pip install torch torchvision torchaudio
+
+#For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/21
+#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
+
+#For Linux + AMD Cards, you need to use the following pytorch versions:
+#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
+```
+
+Then can use poetry to install the other dependencies:
+```bash
+# Install the Poetry dependency management tool, skip if installed
+# Reference: https://python-poetry.org/docs/#installation
+curl -sSL https://install.python-poetry.org | python3 -
+
+# Install the project dependencies
+poetry install
+```
+
+You can also use pip to install them:
+```bash
+
+for Nvidia graphics cards
+  pip install -r requirements.txt
+
+for AMD/Intel graphics cards on Windows (DirectML)：
+  pip install -r requirements-dml.txt
+
+for Intel ARC graphics cards on Linux / WSL using Python 3.10: 
+  pip install -r requirements-ipex.txt
+
+for AMD graphics cards on Linux (ROCm):
+  pip install -r requirements-amd.txt
+```
+
+------
+Mac users can install dependencies via `run.sh`:
+```bash
+sh ./run.sh
+```
+
+## Preparation of other Pre-models
+RVC requires other pre-models to infer and train.
+
+```bash
+#Download all needed models from https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/
+python tools/download_models.py
+```
+
+Or just download them by yourself from our [Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/).
+
+Here's a list of Pre-models and other files that RVC needs:
+```bash
+./assets/hubert/hubert_base.pt
+
+./assets/pretrained 
+
+./assets/uvr5_weights
+
+Additional downloads are required if you want to test the v2 version of the model.
+
+./assets/pretrained_v2
+
+If you want to test the v2 version model (the v2 version model has changed the input from the 256 dimensional feature of 9-layer Hubert+final_proj to the 768 dimensional feature of 12-layer Hubert, and has added 3 period discriminators), you will need to download additional features
+
+./assets/pretrained_v2
+
+If you want to use the latest SOTA RMVPE vocal pitch extraction algorithm, you need to download the RMVPE weights and place them in the RVC root directory
+
+https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt
+
+    For AMD/Intel graphics cards users you need download:
+
+    https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx
+
+```
+
+### 2. Install FFmpeg
+If you have FFmpeg and FFprobe installed on your computer, you can skip this step.
+
+#### For Ubuntu/Debian users
+```bash
+sudo apt install ffmpeg
+```
+#### For MacOS users
+```bash
+brew install ffmpeg
+```
+#### For Windows users
+Download these files and place them in the root folder:
+- [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
+
+- [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
+
+## ROCm Support for AMD graphic cards (Linux only)
+To use ROCm on Linux install all required drivers as described [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html).
+
+On Arch use pacman to install the driver:
+````
+pacman -S rocm-hip-sdk rocm-opencl-sdk
+````
+
+You might also need to set these environment variables (e.g. on a RX6700XT):
+````
+export ROCM_PATH=/opt/rocm #Set ROCM Executables Path
+export HSA_OVERRIDE_GFX_VERSION=10.3.0 #Spoof GPU Model for ROCM
+````
+
+And overwrite PyTorch with its ROCM version after installing dependencies.
+````
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
+````
+
+Make sure your user is part of the `render` and `video` group:
+````
+sudo usermod -aG render $USERNAME
+sudo usermod -aG video $USERNAME
+````
+
+## Get started
+### start up directly
+Use the following command to start WebUI:
+```bash
+python infer-web.py
+```
+### Use the integration package
+Download and extract file `RVC-beta.7z`, then follow the steps below according to your system:
+#### For Windows users
+Double click `go-web.bat`
+#### For MacOS users
+```bash
+sh ./run.sh
+```
+### For Intel IPEX users (Linux Only)
+```bash
+source /opt/intel/oneapi/setvars.sh
+```
+## Credits
++ [ContentVec](https://github.com/auspicious3000/contentvec/)
++ [VITS](https://github.com/jaywalnut310/vits)
++ [HIFIGAN](https://github.com/jik876/hifi-gan)
++ [Gradio](https://github.com/gradio-app/gradio)
++ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
++ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
++ [audio-slicer](https://github.com/openvpi/audio-slicer)
++ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
+  + The pretrained model is trained and tested by [yxlllc](https://github.com/yxlllc/RMVPE) and [RVC-Boss](https://github.com/RVC-Boss).
+
+## Thanks to all contributors for their efforts
+<a href="https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
+  <img src="https://contrib.rocks/image?repo=RVC-Project/Retrieval-based-Voice-Conversion-WebUI" />
+</a>
+

docs/fr/README.fr.md

@@ -56,7 +56,7 @@ pip install torch torchvision torchaudio
 pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
 
 # Pour Linux + carte AMD, utilisez cette version de Pytorch:
-pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
 ```
 
 Vous pouvez utiliser poetry pour installer les dépendances :
@@ -142,6 +142,10 @@ Vous devrez peut-être créer ces variables d'environnement (par exemple avec RX
 export ROCM_PATH=/opt/rocm
 export HSA_OVERRIDE_GFX_VERSION=10.3.0
 ````
+Et remplacer PyTorch par sa version ROCM après l'installation des dépendances.
+````
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
+````
 Assurez-vous que votre utilisateur est dans les groupes `render` et `video`:
 ````
 sudo usermod -aG render $USERNAME

docs/kr/README.ko.md

@@ -306,6 +306,12 @@ export ROCM_PATH=/opt/rocm
 export HSA_OVERRIDE_GFX_VERSION=10.3.0
 ```
 
+그리고 종속 요소를 설치한 후 PyTorch를 ROCM 버전으로 덮어씁니다.
+
+````
+pip 설치 토치 토치비전 토치오디오 --index-url https://download.pytorch.org/whl/rocm6.2
+````
+
 동시에 현재 사용자가 `render` 및 `video` 사용자 그룹에 속해 있는지 확인하세요.
 
 ```

docs/pt/README.pt.md

@@ -62,7 +62,7 @@ pip install torch torchvision torchaudio
 #pip instalar tocha torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
 
 #Para placas Linux + AMD, você precisa usar as seguintes versões do pytorch:
-#pip instalar tocha torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
+#pip instalar tocha torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
 ```
 
 Então pode usar poesia para instalar as outras dependências:
@@ -155,6 +155,10 @@ Talvez você também precise definir estas variáveis de ambiente (por exemplo,
 export ROCM_PATH=/opt/rocm
 export HSA_OVERRIDE_GFX_VERSION=10.3.0
 ````
+E substitui o PyTorch pela sua versão ROCM depois de instalar as dependências.a
+````
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.2
+```` 
 Verifique também se seu usuário faz parte do grupo `render` e `video`:
 ````
 sudo usermod -aG render $USERNAME