AndreasLH/ML_Ops_stable_diffusion
Machine Learning Operations with a denoising diffusion model using a butterfly dataset
This project helps machine learning engineers and researchers by providing a robust framework for training and deploying generative AI models. It takes a dataset of images, specifically butterflies, and outputs a trained stable diffusion model capable of generating new, photorealistic images of butterflies. The end-user is a machine learning practitioner looking to apply MLOps principles to deep learning projects.
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Use this if you are a machine learning engineer or researcher focused on deploying generative image models efficiently and want to understand how MLOps principles are applied to a Stable Diffusion model.
Not ideal if you are looking for a ready-to-use application to generate images without any machine learning development or MLOps expertise.
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HTML
License
MIT
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Last pushed
Jun 02, 2024
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