Michedev/DDPMs-Pytorch
Implementation of various DDPM papers to understand how they work
This project helps machine learning researchers and practitioners experiment with advanced image generation techniques. It allows you to train and configure Denoising Diffusion Probabilistic Models (DDPMs) using your own image datasets. You can generate new, synthetic images based on the models you've trained, exploring different parameters to understand their impact on image quality and style.
Use this if you are a machine learning researcher or engineer looking to implement, train, and experiment with state-of-the-art Denoising Diffusion Probabilistic Models for image generation, or if you need to create novel images from existing datasets.
Not ideal if you are looking for a simple, off-the-shelf image generation tool without diving into model training and configuration.
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87
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9
Language
Python
License
MIT
Category
Last pushed
Feb 10, 2026
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