deep-diver/keras-sd-serving
showing various ways to serve Keras based stable diffusion
This project helps machine learning engineers and MLOps specialists deploy Keras-based Stable Diffusion models for generating images from text. It provides various deployment strategies, allowing you to take text prompts and produce corresponding images, whether as a single service or distributed across multiple specialized services.
111 stars. No commits in the last 6 months.
Use this if you need to deploy and serve a Stable Diffusion model built with Keras-CV in a production environment, offering different architectural choices for efficiency and scalability.
Not ideal if you are looking for a plug-and-play image generation tool without involving model deployment or if you are not using Keras-CV for your Stable Diffusion implementation.
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111
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5
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 28, 2023
Commits (30d)
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