https://github.com/bartekpog/consistency-models-tutorial

A simple tutorial on the Consistency Models by Yang Song et al.
https://github.com/bartekpog/consistency-models-tutorial

Last synced: 17 days ago
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A simple tutorial on the Consistency Models by Yang Song et al.

• Host: GitHub
• URL: https://github.com/bartekpog/consistency-models-tutorial
• Owner: BartekPog
• Created: 2024-03-11T15:16:16.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-03-22T23:11:40.000Z (9 months ago)
• Last Synced: 2024-10-28T14:39:02.303Z (2 months ago)
• Language: Jupyter Notebook
• Size: 68.1 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Consistency Models Notebook

The notebook is self-contained, so as long as you have python with `jupyter`, `torch` and `torchvision` installed all you need to do is run the notebook. The notebook will download the dataset.

All the images and pretrained models are included in the [repository](https://github.com/BartekPog/Consistency-Models-Tutorial/blob/main/readme.md). If you decide to use google colab, you can run the notebook there as well -- you just need to upload the pretrained models to the colab environment, or preform full training.