taehoon-yoon/Diffusion-Probabilistic-Models
PyTorch implementation for DDPM & DDIM
This project offers tools for researchers and machine learning practitioners to generate realistic images from scratch, or modify existing ones, using advanced diffusion models. It takes training image datasets (like faces or objects) as input and outputs high-quality synthetic images. It's designed for those exploring generative AI for content creation or dataset augmentation.
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Use this if you need to generate diverse, high-resolution images or explore the capabilities of state-of-the-art diffusion models (DDPM and DDIM) for creative or research purposes.
Not ideal if you are looking for a simple, off-the-shelf image editor or a tool that doesn't require familiarity with machine learning training processes.
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Language
Python
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Last pushed
Nov 29, 2023
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