Linux: Getting started with Stable Diffusion
Stable Diffusion is a AI image generator that runs on your own machine.
For Windows there are plenty of easily executable builds but we want to run it on Linux.
My attention was caught with this video and then I tried to figure out how to run it on Linux.
As far as I understand, it only works with pretty strong NVIDIA cards. I have a GeForce 3080 Ti with 12GB VRAM and can generate images of 256x512 Pixels in size within a few seconds but not much bigger.
I use Ubuntu 22.04.
The Source Code of Stable Diffusion is not very effective without the trained AI model.
The stable-diffusion-v-1-4-original model can be obtained downloded at huggingface.co after registering for free. It's 7GB in size.
To run it you need a prepared Python environment for which Anaconda is recommended to install all dependencies without tainting the rest of you Python Environment. Check out the Ubuntu Guide how to install Anaconda):
bash Anaconda3-2022.05-Linux-x86_64.sh # only directly after installation: . ~/.bashrc
Anaconda manifests in the ~/.bashrc and changes how your prompt looks. If you want to get rid of it you can run this or remove the block manually.
conda init --reverse
In short once you have everything (based on the instructions on the project's github page):
# Prepare folders mkdir ~/Stable\ Diffusion cd ~/Stable\ Diffusion git clone https://github.com/CompVis/stable-diffusion.git . mkdir -p models/ldm/stable-diffusion-v1/ # moving the downloaded model to its destination mv ~/Downloads/sd-v1-4-full-ema.ckpt models/ldm/stable-diffusion-v1 cd models/ldm/stable-diffusion-v1/ ln -s sd-v1-4-full-ema.ckpt model.ckpt # building the Python environment and activating it cd ~/Stable\ Diffusion conda env create -f environment.yaml conda activate ldm conda install pytorch torchvision -c pytorch
When all is done you can run it via
python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms --W 512 --H 256
The images can then be found in