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added docker info
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@ -148,6 +148,32 @@ git pull
pip install -r requirements.txt
```
## 🐳 Docker:
**For Debian-based systems (Ubuntu, Debian, etc.):**
```bash
./run-docker-cuda-deb.sh
```
This automated script will:
- Detect your GPU model and VRAM automatically
- Select optimal CUDA architecture for your GPU
- Install NVIDIA Docker runtime if needed
- Build a Docker image with all dependencies
- Run WanGP with optimal settings for your hardware
**Docker environment includes:**
- NVIDIA CUDA 12.4.1 with cuDNN support
- PyTorch 2.6.0 with CUDA 12.4 support
- SageAttention compiled for your specific GPU architecture
- Optimized environment variables for performance (TF32, threading, etc.)
- Automatic cache directory mounting for faster subsequent runs
- Current directory mounted in container - all downloaded models, loras, generated videos and files are saved locally
**Supported GPUs:** RTX 40XX, RTX 30XX, RTX 20XX, GTX 16XX, GTX 10XX, Tesla V100, A100, H100, and more.
## 📦 Installation