🖼️ Stable Diffusion on Archlinux
Wednesday 28 December 2022

🖼️ #archlinux #AI #stable_diffusion

Stability AI Stable Diffusion

  • Repo on Github: https://github.com/Stability-A…
  • Clone repo then cd into it
  • Installed Anaconda first yay -S anaconda
  • Activate anaconda env source /opt/anaconda/bin/activate root
  • Install pytorch conda install pytorch==1.12.1 torchvision==0.13.1 -c pytorch
  • Install required packages pip install transformers==4.19.2 diffusers invisible-watermark
  • Got this error
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
daal4py 2021.6.0 requires daal==2021.4.0, which is not installed.
numba 0.55.1 requires numpy<1.22,>=1.18, but you have numpy 1.24.1 which is incompatible.
export CUDA_HOME=/opt/cuda
sudo conda install -c nvidia/label/cuda-11.4.0 cuda-nvcc
sudo conda install -c conda-forge gcc
sudo conda install -c conda-forge gxx_linux-64==9.5.0
  • I added sudo because without sudo I got this error
EnvironmentNotWritableError: The current user does not have write permissions to the target environment.
  environment location: /opt/anaconda
  uid: 1000
  gid: 1000
  • Previous commands took too long to finish (couple hours). I’m not sure where the slowness is coming from. I noticed it’s maxing out 1 logical CPU out of 16 ☹️
  • Clone xformers https://github.com/facebookres… and cd into it
  • Setup the rest of requirements
git submodule update --init --recursive
pip install -r requirements.txt
sudo pip install -e .
  • this last line shows an error: ModuleNotFoundError: No module named 'torch' so I ran sudo conda install pytorch then sudo pip install -e .
  • I got some errors of missing packages so
pip install omegaconf
pip install torchvision
pip install pytorch_lightning
pip install pytorch-lightning
pip install open_clip_torch
  • I got another error that prompted me to run this sudo python setup.py build develop
  • also found error about missing triton so pip install triton==2.0.0.dev20221120
  • created a dir output and ran
python scripts/txt2img.py --prompt "a professional photograph of an astronaut riding a horse" --ckpt v2-1_768-ema-pruned.ckpt --config configs/stable-diffusion/v2-inference-v.yaml --H 768 --W 768  --outdir output
  • I got an error
making attention of type 'vanilla-xformers' with 512 in_channels
building MemoryEfficientAttnBlock with 512 in_channels...
  • tried reducing number of steps and other params but I got the same error
python scripts/txt2img.py --prompt "a professional photograph of an astronaut riding a horse" --ckpt v2-1_768-ema-pruned.ckpt --config configs/stable-diffusion/v2-inference-v.yaml --ddim_eta 0.0 --n_samples 3 --n_iter 3 --scale 5.0  --steps 100 --H 192 --W 192 --outdir output

Docker compose fork for CompVis Stable Diffusion

  • cloned this repo and cd into it gh repo clone basujindal/stable-diffusion
  • moved the model to another directory mv ../stablediffusion/v2-1_768-ema-pruned.ckpt ../sd-data/model.ckpt
  • Install nvidia-container-toolking yay -S nvidia-container-toolkit
  • uncomment no-cgroups = false in /etc/nvidia-container-runtime/config.toml
  • and restart docker sudo systemctl restart docker
  • I had to update my machine at this point as it couldn’t install bmake so that’s another 4gb or downloads and 14gb installation side. 🥲
  • build the containers docker-compose build
  • and run the containers docker-composer run
  • I got an error, it seems the model for Stable Diffusion from Stability won’t work on the CompVis version. so I downloaded the latest version from their model https://huggingface.co/CompVis
  • then run docker-composer run again.
  • I got this interface


Well it works finally

Some Generated Art

  • Water colored picture of a monkey children book like soft colors

  • A duck playing piano in theater cartoon like

  • painting of chuck norris futuristic and metalic


See Also