SGLang Diffusion Cookbook
Create a comprehensive cookbook for diffusion models in SGLang, demonstrating SGLangβs performance advantages for image and video generation workloads.π― What Youβll Find Here
This cookbook aggregates battle-tested SGLang recipes covering:- Models: Mainstream Image and Video generation Models
- Use Cases: Inference serving, deployment strategies
- Hardware: GPU and CPU configurations, optimization for different accelerators
- Best Practices: Configuration templates, performance tuning, troubleshooting guides
π Quick Start
- Browse the recipe index above to find your model
- Follow the step-by-step instructions in each guide
- Adapt configurations to your specific hardware and requirements
- Join our community to share feedback and improvements
π€ Contributing
We believe the best documentation comes from practitioners. Whether youβve optimized SGLang for a specific model, solved a tricky deployment challenge, or discovered performance improvements, we encourage you to contribute your recipes! πͺHow to Contribute- Comment below if interested (mention which role)
- Join discussion on implementation details
- Fork repo and work on assigned section
- Submit PR following SGLang cookbook standards
- Iterate based on review feedback
π Resources
- SGLang GitHub
- SGLang Documentation
- SGLANG Diffusion Documentation
- SLACK Channel
- Community Slack/Discord
π License
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.Letβs build this resource together! π Star the repo and contribute your recipes to help the SGLang community grow.
