Wav2Lip (CPU, Windows, Conda Setup)

This guide helps you run Wav2Lip locally on a Windows machine without GPU using Conda.

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📦 Requirements

• Windows 10/11
• Miniconda / Anaconda
• FFmpeg (installed and added to PATH)

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⚙️ Setup (Conda Only)

1. Clone Repository

git clone https://github.com/Rudrabha/Wav2Lip.git
cd Wav2Lip

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2. Create Environment

conda env create -f environment.yml
conda activate wav2lip

👉 No need to install requirements.txt

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📥 Model Setup

Download model file and place here:

Wav2Lip/checkpoints/wav2lip.pth

OR (for low-end systems):

Wav2Lip/checkpoints/Wav2Lip-SD-NOGAN.pt

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▶️ Run Inference

Single-line (CMD)

python inference.py --checkpoint_path checkpoints\wav2lip.pth --face assets\face.jpg --audio assets\test.wav --outfile output.mp4 --resize_factor 3 --nosmooth

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🔊 Fix Audio (if missing)

Sometimes audio is not merged automatically.

Run manually:

ffmpeg -y -i temp\result.avi -i assets\test.wav -c:v copy -c:a aac output_final.mp4

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⚠️ Notes

• CPU execution is slow (5–15 min for short video)
• Use short clips (≤10 sec)
• Prefer image input over video for better performance
• Lower resolution improves speed

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🧠 Tips for Low-End PC (8GB RAM)

• Use --resize_factor 3 or 4
• Use .jpg instead of video
• Close other apps while running

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🧪 Test Files

Use:

• assets/test.wav (audio)
• assets/face.jpg (image)

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❌ Common Issues

Missing modules

pip install tqdm opencv-python librosa

No audio in output

• Ensure FFmpeg is installed
• Merge manually (see above)

Model loading error (.pt vs .pth)

• .pth works directly
• .pt requires small code patch