Alokia/diffusion-DDIM-pytorch
This is a pytorch implementation of Denoising Diffusion Implicit Models
This is a tool for machine learning researchers and practitioners who want to generate synthetic images from trained models. You provide a trained model checkpoint, and it outputs new, unique images that resemble the original training data. It's used by those exploring or applying Denoising Diffusion Implicit Models (DDIMs) for image synthesis.
131 stars. No commits in the last 6 months.
Use this if you are an AI researcher or developer working with diffusion models and need a PyTorch implementation for training and generating images with DDIMs.
Not ideal if you are a non-technical user looking for a no-code solution to generate images, as it requires Python programming and machine learning expertise.
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131
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16
Language
Python
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Last pushed
Jul 10, 2023
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