Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.
This project, known as Muse, is a production-ready deployment of Stable Diffusion models on cloud infrastructure, demonstrating load-balancing, GPU-inference, and micro-services orchestration using the Lightning Apps framework. It is designed for developers and organizations looking to deploy AI models at scale, providing a blueprint for building diffusion-based production systems. The project includes a full tutorial and is live on the Lightning AI platform, allowing users to explore and interact with the model.
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