initial commit

Dockerfile

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+FROM tensorflow/tensorflow:devel-gpu
+ENV DEBIAN_FRONTEND=noninteractive
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV CUDA_VISIBLE_DEVICES=0
+ENV PYTORCH_CUDA_ALLOC_CONF=garbage_collection_threshold:0.6,max_split_size_mb:128
+RUN apt update && apt install -y build-essential cmake git aria2 python3 cuda-runtime-11-8 && apt clean
+RUN git clone --depth 1 https://github.com/basujindal/stable-diffusion /stable-diffusion
+RUN pip install --upgrade pip
+RUN pip install transformers==4.19.2 diffusers invisible-watermark omegaconf einops torchvision pytorch_lightning clip kornia
+WORKDIR /stable-diffusion
+RUN pip install -e .
+RUN git clone --depth 1 https://github.com/CompVis/taming-transformers && mv taming-transformers/taming . && rm -rf taming-transformers
+RUN aria2c --seed-time=0 "magnet:?xt=urn:btih:2daef5b5f63a16a9af9169a529b1a773fc452637&dn=v1-5-pruned-emaonly.ckpt&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337%2fannounce&tr=udp%3a%2f%2f9.rarbg.com%3a2810%2fannounce&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a6969%2fannounce&tr=udp%3a%2f%2fopentracker.i2p.rocks%3a6969%2fannounce&tr=https%3a%2f%2fopentracker.i2p.rocks%3a443%2fannounce&tr=http%3a%2f%2ftracker.openbittorrent.com%3a80%2fannounce&tr=udp%3a%2f%2ftracker.torrent.eu.org%3a451%2fannounce&tr=udp%3a%2f%2fopen.stealth.si%3a80%2fannounce&tr=udp%3a%2f%2fvibe.sleepyinternetfun.xyz%3a1738%2fannounce&tr=udp%3a%2f%2ftracker2.dler.org%3a80%2fannounce&tr=udp%3a%2f%2ftracker1.bt.moack.co.kr%3a80%2fannounce&tr=udp%3a%2f%2ftracker.zemoj.com%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.tiny-vps.com%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.theoks.net%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.publictracker.xyz%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.monitorit4.me%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.moeking.me%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.lelux.fi%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.dler.org%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.army%3a6969%2fannounce"
+RUN mkdir -p models/ldm/stable-diffusion-v1/ && ln -s $PWD/v1-5-pruned-emaonly.ckpt $PWD/models/ldm/stable-diffusion-v1/model.ckpt
+RUN sed -i "s/import argparse, os, re/import argparse, os, sys, re\nsys.path.insert(0, os.getcwd())/" optimizedSD/optimized_txt2img.py optimizedSD/optimized_img2img.py
+RUN python optimizedSD/optimized_txt2img.py 2> /dev/null || exit 0
+ENTRYPOINT ["python", "optimizedSD/optimized_txt2img.py", "--H", "512", "--W", "512", "--n_samples", "1", "--precision", "full", "--outdir", "/output", "--format", "jpg", "--prompt"]

README.md

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+# Docker Stable Diffusion
+
+## Dirty docker project to run Stable Diffusion AI with [this](https://github.com/basujindal/stable-diffusion/) optimized project for low memory Nvidia graphics cards ~ 4GB, final Docker image must be 22.3GB of size
+
+### This project need `docker` with `docker-compose` optional, necessary [nvidia runtime](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html) and [latest nvidia drivers](https://docs.nvidia.com/datacenter/tesla/tesla-installation-notes/index.html#ubuntu-lts) installed
+
+## Build
+
+```
+docker-compose build
+```
+
+## Run
+
+```
+docker-compose run --rm stable-diffusion "input terms"
+```
+
+## Output image
+
+```
+JPG file output is in the ./output folder
+```
+
+## Generate from existing image
+
+```
+docker-compose run --rm --entrypoint "python optimizedSD/optimized_img2img.py" stable-diffusion --outdir /output --n_samples 1 --precision full --prompt "input terms" --format jpg --H 512 --W 512 --init-img /output/input.png
+```
+
+## License
+
+```
+MIT
+```

docker-compose.yml

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+version: '2'
+
+services:
+  stable-diffusion:
+    build: ./
+    image: stable-diffusion
+    container_name: stable-diffusion
+    restart: "no"
+    devices:
+      - /dev/nvidia0
+      - /dev/nvidiactl
+      - /dev/nvidia-uvm
+      - /dev/nvidia-uvm-tools
+    volumes:
+      - ./output:/output