Ready-to-Run Dockerized AI Models – Zero Setup, Maximum Results

Transform complex AI model deployments into simple Docker commands. This repository provides optimized, tested containers for cutting-edge AI models across music, comics, video, and text generation. No dependency hell, no environment conflicts – just build, run, and create.

Each model has its own folder containing:

• dockerfile / dockerfile-gpu-poor – Container build files optimized for different hardware configurations
• startup.sh / startup-gpu-poor.sh – Automated setup and launch scripts
• Model-specific configurations and optimizations

Current structure:

├── yue/                    # YuE: Full-song music generation
│   ├── dockerfile          # Standard GPU build (24GB+ VRAM)
│   ├── dockerfile-gpu-poor # Lightweight build (8GB+ VRAM)
│   ├── gradio_interface.py # Web interface
│   ├── startup.sh          # Standard launch script
│   └── startup-gpu-poor.sh # GPU-constrained launch script
├── seed-story/             # SEED-Story: Comic story generation
│   ├── dockerfile          # GPU build (8GB+ VRAM)
│   ├── minimal_gradio.py   # Main web interface
│   ├── simple_comic_generator.py # Fallback generator
│   ├── model_downloader.py # Model management
│   ├── startup.sh          # Launch script
│   └── requirements.txt    # Python dependencies
├── wan/                    # Wan2GP: Video-to-audio generation
│   ├── dockerfile-gpu-poor # GPU-efficient build
│   └── startup-gpu-poor.sh # Launch script

Actively working on containerizing these cutting-edge AI models:

Watch this space – these containerized models will be available soon with the same zero-setup experience!

Choose your model and run a single command:

# Clone the repository
git clone https://github.com/Ricky-G/docker-ai-models.git
cd docker-ai-models

# Navigate to your chosen model
cd seed-story/  # or yue/ or wan/

# Build and run (see individual README files for specific commands)
docker build -t seed-story .
docker run --gpus all -p 7860:7860 -v "C:\_Models\seed-story:/app/models" seed-story

Open http://localhost:7860 in your browser and start creating!

• 🔧 Zero Configuration – No dependency hunting, no environment conflicts
• ⚡ Hardware Optimized – Multiple builds for different GPU capabilities
• 🌐 Web Interfaces – Beautiful, intuitive web UIs for all models
• 📦 Ready to Run – Tested, stable containers that work out of the box
• ⏱️ Time Saving – From hours of setup to minutes of runtime
• 🔄 Reproducible – Same results, every time, everywhere

Each model directory contains:

• Optimized Dockerfiles for different hardware configurations
• Automated startup scripts handling all dependencies
• Comprehensive documentation with step-by-step guides
• Web interfaces providing intuitive controls and real-time feedback

Have an AI model you'd like to containerize? We'd love your contribution!

1. Fork this repository
2. Create a new directory: your-model-name/
3. Add dockerfile, startup.sh, and README.md
4. Submit a pull request

MIT License – free to use, modify, and distribute.

⭐ Star this repo if it saves you time!