leaderj1001/DiffusionModel
Re-implementating Diffusion model using Pytorch
This project provides an implementation of Denoising Diffusion Probabilistic Models (DDPM) and Denoising Diffusion Implicit Models (DDIM). It takes random noise or existing images as input and generates new, highly realistic images. This tool is designed for machine learning researchers and practitioners who are experimenting with generative AI models.
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Use this if you are a researcher or developer actively working on or evaluating advanced image generation techniques and want to implement or experiment with diffusion models.
Not ideal if you are looking for a plug-and-play tool to generate images without deep technical understanding or access to a development environment.
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Language
Python
License
MIT
Category
Last pushed
Jul 10, 2022
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