Difference between revisions of "Stable Diffusion"
Line 8: | Line 8: | ||
1: Navigate to the SD folder | 1: Navigate to the SD folder | ||
cd ~/MachineLearning/stable-diffusion-webui | cd ~/MachineLearning/stable-diffusion-webui | ||
+ | |||
+ | 2: Activate the environment | ||
+ | conda activate stable-diffusion | ||
+ | |||
+ | 3: Start SD | ||
+ | python launch.py --opt-split-attention --medvram --disable-safe-unpickle | ||
=== Image sizes === | === Image sizes === |
Revision as of 11:58, 23 December 2022
Generating images from a sentence using Stable Diffusion
Stable Diffusion is an AI algorithm developed by CompVis and sponsored primarily by Stability AI, a startup that aims to be the driving-force behind the open-source AI. The algorithm itself builds on ideas from Open AI’s DALL-E 2, Google’s Imagen and other image generation models, with some extra optimizations.
Running Stable Diffusion
At the time of writing, Stable Diffusion (SD) is only installed on the PCs in classroom WH02.110. So find yourself a PC and login to Ubuntu. After you've logged in, open the terminal and enter the following commands to start up SD.
1: Navigate to the SD folder
cd ~/MachineLearning/stable-diffusion-webui
2: Activate the environment
conda activate stable-diffusion
3: Start SD
python launch.py --opt-split-attention --medvram --disable-safe-unpickle
Image sizes
[1:1] Square: --W 512 --H 512
[16:9] Widescreen: --W 1024 --H 576
[9:16] Mobile first (Instagram stories, Snapchat etc): --W 576 --H 1024
[10:16] Portrait: --W 640 --H 1024
Code
Github: https://github.com/mywdka/stable-diffusion
Tools
Dataset explorer: https://knn5.laion.ai (mirror)
Prompt builder: https://promptomania.com/stable-diffusion-prompt-builder/
Img to prompt: https://replicate.com/methexis-inc/img2prompt
Prompt examples: https://lexica.art/
Have I Been Trained: https://haveibeentrained.com/
Community
Discord: http://discord.gg/stablediffusion