FareedKhan-dev/create-stable-diffusion-from-scratch

Implemented a stable diffusion architecture using PyTorch.

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This project helps machine learning engineers understand and implement the core components of a Stable Diffusion model from the ground up. It takes fundamental machine learning concepts and demonstrates how to build a small-scale image generation model using the MNIST dataset. The end result is a working Stable Diffusion model that can generate simple images, providing hands-on experience for those looking to deepen their knowledge of diffusion models.

No commits in the last 6 months.

Use this if you are a machine learning engineer or researcher who wants to learn the inner workings of Stable Diffusion by building a simplified version from scratch.

Not ideal if you are looking for a production-ready, high-quality image generation tool for complex creative tasks or large-scale data.

deep-learning-engineering generative-ai image-generation pytorch-development model-architecture
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 18 / 25

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Jupyter Notebook

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Last pushed

Jan 03, 2024

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