mirror of
https://github.com/Wan-Video/Wan2.1.git
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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>
93 lines
798 B
Plaintext
93 lines
798 B
Plaintext
# Git files
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.git
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.gitignore
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.gitattributes
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# Docker files
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Dockerfile
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docker-compose.yml
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.dockerignore
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# Python cache
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Virtual environments
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venv/
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env/
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ENV/
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.venv
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# IDE files
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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.DS_Store
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# Model files (download separately)
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models/
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*.pth
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*.pt
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*.bin
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*.safetensors
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*.ckpt
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# Output files
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outputs/
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output/
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*.mp4
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*.avi
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*.mov
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*.png
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*.jpg
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*.jpeg
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# Cache directories
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cache/
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.cache/
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__pycache__/
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# Logs
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*.log
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logs/
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# Documentation (keep lightweight)
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*.md
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!README.md
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!DOCKER_SETUP.md
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# Test files
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tests/
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test/
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*.test.py
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# CI/CD
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.github/
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.gitlab-ci.yml
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.travis.yml
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# Temporary files
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tmp/
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temp/
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*.tmp
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