This commit introduces comprehensive Docker support for running Wan2.1
video generation models locally with GPU acceleration.
Changes:
- Add Dockerfile with CUDA 12.1 support and optimized layer caching
- Add docker-compose.yml for easy container orchestration
- Add .dockerignore for efficient Docker builds
- Add DOCKER_SETUP.md with detailed setup and troubleshooting guide
- Add DOCKER_QUICKSTART.md for rapid deployment
- Add docker-run.sh helper script for container management
- Update Makefile with Docker management commands
Features:
- Full GPU support with NVIDIA Docker runtime
- Single-GPU and multi-GPU (FSDP + xDiT) configurations
- Memory optimization flags for consumer GPUs (8GB+)
- Gradio web interface support on port 7860
- Volume mounts for models, outputs, and cache
- Comprehensive troubleshooting and optimization guides
- Production-ready security best practices
The Docker setup supports all Wan2.1 models (T2V, I2V, FLF2V, VACE)
and includes both 1.3B (consumer GPU) and 14B (high-end GPU) variants.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
