Deploy Stable Diffusion with TF Serving and GKE resiliently!

Using Stable Diffusion from KerasCV is a seamless experience, but what about deploying it for production use-cases? Can we leverage TF Serving and Kubernetes for that?

Well, you definitely can.

In our latest blog post, @deep-diver and I go deep into the challenges of serving a Stable Diffusion system using TF Serving and present a working workflow that respects the best practices from the TF ecosystem.

Check it out here:

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