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Manual Install Method from my last Youtube video:  https://youtu.be/XtaPZmlyMMw
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## Руководство по ручной установке для VibeVoice WebUI
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Step 1: Prerequisites
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Manual Installation Guide for VibeVoice WebUI
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Before you begin, make sure you have installed:
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1. Git – https://git-scm.com/download/win
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2. Python 3.10 – https://www.python.org/downloads/release/python-31011/
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3. NVIDIA CUDA Toolkit 12.8 (or newer) – https://developer.nvidia.com/cuda-downloads
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Git – https://git-scm.com/download/win
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Python 3.10 – https://www.python.org/downloads/release/python-31011/
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- Open cmd or PowerShell in the folder where you want to install.
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- Clone the repo:
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NVIDIA CUDA Toolkit 12.8 (or newer) – https://developer.nvidia.com/cuda-downloads
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git clone https://github.com/SUP3RMASS1VE/VibeVoiceTTS.git
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cd VibeVoiceTTS
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Open cmd or PowerShell in the folder where you want to install.
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Clone the repo:
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Внутри папки VibeVoiceTTS:
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python -m venv .venv
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.venv\Scripts\activate
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Step 4: Install Dependencies
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Inside the VibeVoiceTTS folder:
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Выполните следующие команды:
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pip install uv
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uv pip install torch==2.7.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
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uv pip install triton-windows
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uv pip install https://github.com/petermg/flash_attn_windows/releases/download/01/flash_attn-2.7.4.post1+cu128.torch270-cp310-cp310-win_amd64.whl
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uv pip install -e .
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Run the following commands:
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Это установит Torch с поддержкой CUDA 12.8, FlashAttention и все зависимости VibeVoice.
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Step 5: Download the Launcher
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Загрузите скрипт запуска помощника в папку VibeVoice:
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curl -L -o LAUNCHER_VibeVoice.bat "https://huggingface.co/Aitrepreneur/FLX/resolve/main/LAUNCHER_VibeVoice.bat?download=true"
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This installs Torch with CUDA 12.8 support, FlashAttention, and all VibeVoice dependencies.
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Запустите WebUI с помощью лаунчера
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Download the helper launcher script into the VibeVoice folder:
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## Руководство по ручной установке для RVC WebUI (Windows)
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Step 1: Prerequisites
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Start the WebUI with the launcher
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- 7-Zip – https://www.7-zip.org/
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- Git – https://git-scm.com/download/win
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Step 2: Download and Extract RVC WebUI
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Manual Installation Guide for RVC WebUI (Windows)
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Определите тип вашего графического процессора:
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1. NVIDIA GPU:
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https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/RVC1006Nvidia.7z
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2. AMD / Intel GPU:
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7-Zip – https://www.7-zip.org/
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Git – https://git-scm.com/download/win
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Download and extract with 7-Zip. Ваша папка должна выглядеть так:
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RVC1006Nvidia/
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├── go-web.bat
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Decide your GPU type:
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├── infer-web.py
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NVIDIA GPU:
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Step 3: Run the WebUI
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AMD / Intel GPU:
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Double-click go-web.bat
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Download and extract with 7-Zip. Your folder should look like:
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## Руководство по ручной установке VibeVoice WebUI (RunPod)
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Step 1: Prerequisites
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1. Create a RunPod account: https://bit.ly/runpodAi
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2. Deploy a pod with the PyTorch 2.1
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3. Open a terminal inside /workspace
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Step 2: Install System Packages
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apt-get update
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apt-get install -y build-essential ninja-build cmake ffmpeg git
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Manual Installation Guide for VibeVoice WebUI (RunPod)
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git clone https://github.com/SUP3RMASS1VE/VibeVoiceTTS.git
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cd VibeVoiceTTS
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Create a RunPod account: https://bit.ly/runpodAi
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Step 4: Create Python Environment
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Deploy a pod with the PyTorch 2.1
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python3 -m venv .venv
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Open a terminal inside /workspace
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pip install -U pip setuptools wheel packaging
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Step 5: Install Dependencies
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pip install uv
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uv pip install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
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uv pip install "flash-attn==2.8.3" --no-build-isolation
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uv pip install -e .
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Step 6: Run the WebUI
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python demo/gradio_demo.py --share
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Open the provided public link in your browser.
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## Руководство по ручной установке для RVC WebUI (RunPod)
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Step 1: Prerequisites
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1. Create a RunPod account: https://bit.ly/runpodAi
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2. Deploy a pod with the PyTorch 2.1
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3. Open a terminal inside /workspace
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Step 2: Update System
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Manual Installation Guide for RVC WebUI (RunPod)
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Step 3: Download and Extract RVC
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wget https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/RVC1006Nvidia.7z
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Create a RunPod account: https://bit.ly/runpodAi
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7z x RVC1006Nvidia.7z
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Deploy a pod with the PyTorch 2.1
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Open a terminal inside /workspace
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apt update && apt upgrade -y
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pip install --force-reinstall -v "av==11.0.0"
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pip install matplotlib==3.7.0
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pip install -r requirements.txt
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Step 5: Run the WebUI
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python infer-web.py
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## Руководство по ручной установке для ComfyUI (Windows)
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Step 1: Prerequisites
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Install:
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- 7-Zip – https://www.7-zip.org/
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- Git – https://git-scm.com/download/win
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Step 2: Download and Extract ComfyUI
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Manual Installation Guide for ComfyUI (Windows)
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https://github.com/comfyanonymous/ComfyUI/releases/latest
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Extract with 7-Zip. Example folder layout:
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ComfyUI_windows_portable/
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7-Zip – https://www.7-zip.org/
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│   ├── models/
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Git – https://git-scm.com/download/win
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├── python_embeded/
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└── run_nvidia_gpu.bat
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Step 3: Install Custom Nodes
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Go to ComfyUI_windows_portable\ComfyUI\custom_nodes and run:
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git clone https://github.com/ltdrdata/ComfyUI-Manager.git
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git clone https://github.com/rgthree/rgthree-comfy
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git clone https://github.com/Enemyx-net/VibeVoice-ComfyUI
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git clone https://github.com/diodiogod/TTS-Audio-Suite
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Then install dependencies for each node that has a requirements.txt:
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..\..\python_embeded\python.exe -m pip install -r <node>\requirements.txt
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Step 4: Run ComfyUI
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Go back to ComfyUI_windows_portable and double-click:
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run_nvidia_gpu.bat
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## Руководство по ручной установке для r ComfyUI (RunPod)
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Step 1: Prerequisites
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1. Create account at https://bit.ly/runpodAi  
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2. Pick a 24 GB VRAM GPU with the **aitrepreneur/comfyui** template  
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3. Access port **8888**  
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4. Watch logs:  
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   `tail -f workspace/logs/comfyui.log`
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Step 2: Install System Packages
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Manual Installation Guide for ComfyUI (RunPod)
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apt-get update
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DEBIAN_FRONTEND=noninteractive apt-get install -y \
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  git git-lfs curl ffmpeg portaudio19-dev libasound2-dev \
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  build-essential ninja-build cmake
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Create account at https://bit.ly/runpodAi  
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Pick a 24 GB VRAM GPU with the **aitrepreneur/comfyui** template  
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Access port **8888**  
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Watch logs:  
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cd /workspace/ComfyUI
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python3 -m venv venv
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source venv/bin/activate
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pip install -U pip uv wheel setuptools
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export UV_LINK_MODE=copy
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export PYTHONNOUSERSITE=1
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unset PYTHONPATH
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Step 4: Install Torch (CUDA 12.8 build)
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uv pip install --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu128
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uv pip uninstall -y xformers
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Step 5: Clone Required Custom Nodes
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cd custom_nodes
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git clone https://github.com/diodiogod/TTS-Audio-Suite
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git clone https://github.com/Enemyx-net/VibeVoice-ComfyUI
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git clone https://github.com/rgthree/rgthree-comfy
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Step 6: Install Python Dependencies
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Run this with uv to pin correct versions:
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uv pip install \
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  "numpy==2.2.6" \
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  "librosa==0.11.0" \
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  "soundfile>=0.12.0" \
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  "sounddevice>=0.4.0" \
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  "accelerate>=1.6.0" \
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  "transformers==4.51.3" \
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  "diffusers==0.35.1" \
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  "scipy" \
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  "ml-collections" \
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  "peft>=0.17.0" \
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  "huggingface_hub>=0.25.1" \
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  "absl-py" \
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  "aiortc==1.13.0" \
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  "av==14.4.0" \
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  "bitsandbytes==0.47.0" \
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  "conformer==0.3.2" \
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  "x-transformers==2.7.6" \
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  "torchdiffeq==0.2.5" \
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  "wandb==0.21.4" \
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  "ema-pytorch==0.7.7" \
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  "vocos==0.1.0" \
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  "monotonic-alignment-search==0.2.0" \
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  "faiss-cpu>=1.7.4" \
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  "praat-parselmouth>=0.4.6" \
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  "pyworld==0.3.5" \
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  "torchfcpe==0.0.4" \
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  "opencv-python-headless==4.12.0.88" \
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  "pillow" \
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  "datasets==4.0.0" \
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  "requests" \
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  "dacite==1.9.2" \
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  "unidecode==1.4.0" \
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  "jieba==0.42.1" \
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  "pypinyin==0.55.0" \
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  "torchsde==0.2.6"
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Step 7: Download HuBERT Model
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mkdir -p custom_nodes/TTS-Audio-Suite/models/hubert
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curl -L -o custom_nodes/TTS-Audio-Suite/models/hubert/hubert_base.pt \
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  https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt
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mkdir -p custom_nodes/VibeVoice-ComfyUI/models
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ln -sf ../TTS-Audio-Suite/models/hubert/hubert_base.pt \
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  custom_nodes/VibeVoice-ComfyUI/models/hubert_base.pt
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Step 8: Run ComfyUI
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