GlassyWing/TorchDiffusion
One Diffusion model implementation base on LibTorch
This project helps machine learning engineers and researchers implement and experiment with diffusion models. You can input image datasets to train new models or use existing model weights to generate new images. It provides a way to work with state-of-the-art generative models for image synthesis.
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Use this if you are a machine learning engineer or researcher who wants to train diffusion models for image generation or use pre-trained models to create novel images, potentially with faster performance than a standard PyTorch implementation.
Not ideal if you are looking for a high-level API for image generation or a tool that doesn't require familiarity with C++ compilation and machine learning model training concepts.
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C++
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Last pushed
Mar 22, 2023
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