Skip to content

Showcase Stable Diffusion 2 during lecture in Image Analysis and Computer Vision

Notifications You must be signed in to change notification settings

Jan-Oliver/ETH-IACV-SD2

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Image Analysis and Computer Vision Stable (IACV) Diffusion 2 Showcase

This repository is used to give a quick presentation of Stable Diffusion 2, Dreambooth Finetuning and Upscaling during the IACV lecture.

Usage:

Getting started is super easy.

  • Navigate to this repository
  • You can then either clone download the whole repository to your local machine.
  • For cloning run
    git clone https://github.com/Jan-Oliver/ETH-IACV-SD2.git
    
  • For downloading use the green <Code> button
  • Now Open Google Colab
  • Click on "File" -> "Open Notebook" and select the Notebook "SD2_Showcase.ipynb".

Note: Make sure to use a GPU (this is for free in colab).

  • Select "Runtime" in the colab menu and then select "Change runtime type".
  • In the popup window select as "Hardware Accelerator" -> "GPU" and hit save.

NOTE: Make sure to prepare your images in advance as Colab GPU only is available for about 3 hours and we don't want to waste precious GPU compute time.

  • Select about 10-15 images where only yourself is visible and Crop them to 512x512 using e.g. a tool such as this

About

Showcase Stable Diffusion 2 during lecture in Image Analysis and Computer Vision

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages