Matrix CI/CD (#68)

* Update auto

.editorconfig

@@ -0,0 +1,9 @@
+root = true
+
+[*]
+end_of_line = lf
+indent_style = space
+indent_size = 2
+charset = utf-8
+insert_final_newline = true
+trim_trailing_whitespace = true

.gitattributes

@@ -0,0 +1 @@
+* text=auto eol=lf

.github/ISSUE_TEMPLATE/bug.md

@@ -0,0 +1,36 @@
+---
+name: Bug
+about: Report a bug
+title: ''
+labels: bug
+assignees: ''
+
+---
+
+**Has this issue been opened before? Check the [FAQ](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Main), the [issues](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues?q=is%3Aissue)**
+
+
+
+**Describe the bug**
+
+
+**Which UI**
+
+hlky or auto or auto-cpu or lstein?
+
+**Steps to Reproduce**
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+**Hardware / Software:**
+ - OS: [e.g. Windows / Ubuntu and version]
+ - RAM:
+ - GPU: [Nvidia 1660 / No GPU]
+ - VRAM:
+ - Docker Version, Docker compose version
+ - Release version [e.g. 1.0.1]
+
+**Additional context**
+Any other context about the problem here. If applicable, add screenshots to help explain your problem.

.github/workflows/docker.yml

@@ -0,0 +1,19 @@
+name: Build Images
+
+on: [push]
+
+jobs:
+  build:
+    strategy:
+      matrix:
+        profile:
+          - auto
+          - hlky
+          - lstein
+          - download
+    runs-on: ubuntu-latest
+    name: ${{ matrix.profile }}
+    steps:
+      - uses: actions/checkout@v3
+      # better caching?
+      - run: docker compose --profile ${{ matrix.profile }} build --progress plain

.github/workflows/executable.yml1

@@ -0,0 +1,22 @@
+name: Check executable
+
+on: [push]
+
+jobs:
+  check:
+    runs-on: ubuntu-latest
+    name: Check all sh
+    steps:
+      - run: git config --global core.fileMode true
+      - uses: actions/checkout@v3
+      - shell: bash
+        run: |
+          shopt -s globstar;
+          FAIL=0
+          for file in **/*.sh; do
+              if [ -f "${file}" ] && [ -r "${file}" ] && [ ! -x "${file}" ]; then
+                  echo "$file" is not executable;
+                  FAIL=1
+              fi
+          done
+          exit ${FAIL}

.gitignore

@@ -1 +1,2 @@
 /dev
+/.devcontainer

.vscode/launch.json

@@ -0,0 +1,22 @@
+{
+  // Use IntelliSense to learn about possible attributes.
+  // Hover to view descriptions of existing attributes.
+  // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "name": "WebUI",
+      "type": "python",
+      "request": "launch",
+      "program": "${file}",
+      "cwd": "/stable-diffusion",
+      "args": ["--ckpt", "${workspaceFolder}/models/model.ckpt", "--gfpgan-dir", "${workspaceFolder}/models/", "--extra-models-cpu"],
+      "env": {
+        "TRANSFORMERS_CACHE":"${workspaceFolder}/cache/transformers",
+        "TORCH_HOME":"${workspaceFolder}/cache/torch"
+      },
+      "console": "integratedTerminal",
+      "justMyCode": false
+    }
+  ]
+}

Licen.TXT

@@ -1,24 +0,0 @@
-Microsoft TrueType Fonts
-END-USER LICENSE AGREEMENT FOR MICROSOFT SOFTWARE
----------------------------------------------------
-
-IMPORTANT - READ CAREFULLY: This Microsoft End-User License Agreement ("EULA") is a legal agreement between you (either an individual or a single entity) and Microsoft Corporation for the Microsoft software accompanying this EULA, which includes computer software and may include associated media, printed materials, and "on-line" or electronic documentation ("SOFTWARE PRODUCT" or "SOFTWARE"). By exercising your rights to make and use copies of the SOFTWARE PRODUCT, you agree to be bound by the terms of this EULA. If you do not agree to the terms of this EULA, you may not use the SOFTWARE PRODUCT.
-SOFTWARE PRODUCT LICENSE
-The SOFTWARE PRODUCT is protected by copyright laws and international copyright treaties, as well as other intellectual property laws and treaties. The SOFTWARE PRODUCT is licensed, not sold.
-1. GRANT OF LICENSE. This EULA grants you the following rights:
-·	Installation and Use. You may install and use an unlimited number of copies of the SOFTWARE PRODUCT.
-·	Reproduction and Distribution. You may reproduce and distribute an unlimited number of copies of the SOFTWARE PRODUCT;  provided that each copy shall be a true and complete copy, including all copyright and trademark notices, and shall be accompanied by a copy of this EULA.  Copies of the SOFTWARE PRODUCT may not be distributed for profit either on a standalone basis or included as part of your own product.
-2.	DESCRIPTION OF OTHER RIGHTS AND LIMITATIONS. 
-·	Limitations on Reverse Engineering, Decompilation, and Disassembly. You may not reverse engineer, decompile, or disassemble the SOFTWARE PRODUCT, except and only to the extent that such activity is expressly permitted by applicable law notwithstanding this limitation.
-· Restrictions on Alteration.  You may not rename, edit or create any derivative works from the SOFTWARE PRODUCT, other than subsetting when embedding them in documents.
-·	Software Transfer. You may permanently transfer all of your rights under this EULA, provided the recipient agrees to the terms of this EULA.
-·	Termination. Without prejudice to any other rights, Microsoft may terminate this EULA if you fail to comply with the terms and conditions of this EULA. In such event, you must destroy all copies of the SOFTWARE PRODUCT and all of its component parts.
-3. COPYRIGHT. All title and copyrights in and to the SOFTWARE PRODUCT (including but not limited to any images, text, and "applets" incorporated into the SOFTWARE PRODUCT), the accompanying printed materials, and any copies of the SOFTWARE PRODUCT are owned by Microsoft or its suppliers. The SOFTWARE PRODUCT is protected by copyright laws and international treaty provisions. Therefore, you must treat the SOFTWARE PRODUCT like any other copyrighted material.
-4.	U.S. GOVERNMENT RESTRICTED RIGHTS. The SOFTWARE PRODUCT and documentation are provided with RESTRICTED RIGHTS. Use, duplication, or disclosure by the Government is subject to restrictions as set forth in subparagraph (c)(1)(ii) of the Rights in Technical Data and Computer Software clause at DFARS 252.227-7013 or subparagraphs (c)(1) and (2) of the Commercial Computer Software-Restricted Rights at 48 CFR 52.227-19, as applicable. Manufacturer is Microsoft Corporation/One Microsoft Way/Redmond, WA 98052-6399. 
-LIMITED WARRANTY
-NO WARRANTIES. Microsoft expressly disclaims any warranty for the SOFTWARE PRODUCT. The SOFTWARE PRODUCT and any related documentation is provided "as is" without warranty of any kind, either express or implied, including, without limitation, the implied warranties or merchantability, fitness for a particular purpose, or noninfringement. The entire risk arising out of use or performance of the SOFTWARE PRODUCT remains with you.
-NO LIABILITY FOR CONSEQUENTIAL DAMAGES. In no event shall Microsoft or its suppliers be liable for any damages whatsoever (including, without limitation, damages for loss of business profits, business interruption, loss of business information, or any other pecuniary loss) arising out of the use of or inability to use this Microsoft product, even if Microsoft has been advised of the possibility of such damages. Because some states/jurisdictions do not allow the exclusion or limitation of liability for consequential or incidental damages, the above limitation may not apply to you.
-MISCELLANEOUS
-If you acquired this product in the United States, this EULA is governed by the laws of the State of Washington.
-If this product was acquired outside the United States, then local laws may apply.
-Should you have any questions concerning this EULA, or if you desire to contact Microsoft for any reason, please contact the Microsoft subsidiary serving your country, or write: Microsoft Sales Information Center/One Microsoft Way/Redmond, WA  98052-6399.

build/Dockerfile

@@ -1,31 +0,0 @@
-# syntax=docker/dockerfile:1
-
-FROM continuumio/miniconda3:4.12.0
-
-
-RUN conda install python=3.8.5 && conda clean -a -y
-RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
-RUN git clone https://github.com/hlky/stable-diffusion.git && cd stable-diffusion && git reset --hard 554bd068e6f2f6bc55449a67fe017ddd77090f28
-RUN conda env update --file stable-diffusion/environment.yaml --name base && conda clean -a -y
-
-# fonts
-RUN apt-get update && apt install fonts-dejavu-core && apt-get clean
-
-RUN git clone https://github.com/hlky/stable-diffusion-webui.git && cd stable-diffusion-webui && \
-  git reset --hard fe6f1e3dc5773aabf879e1d686699092bf483a6b && \
-  cp -t /stable-diffusion/scripts/ txt2img.yaml webui.py webui.yaml webui_playground.py && \
-  cd / && rm -rf stable-diffusion-webui
-
-
-WORKDIR /stable-diffusion
-ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
-
-EXPOSE 7860
-CMD ln -sf /models/model.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt && \
-  ln -sf /models/GFPGANv1.3.pth   /stable-diffusion/src/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth && \
-  ln -sf /models/RealESRGAN_x4plus.pth   /stable-diffusion/src/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus.pth && \
-  # force facexlib cache
-  mkdir -p /cache/weights/ && rm -rf /opt/conda/lib/python3.8/site-packages/facexlib/weights && \
-  ln -sf  /cache/weights/ /opt/conda/lib/python3.8/site-packages/facexlib/ && \
-  # run, -u to not buffer stdout / stderr
-  python3 -u scripts/webui.py --outdir /output --save-metadata --ckpt /models/model.ckpt  ${CLI_ARGS}

cache/.gitignore

@@ -1,3 +1,4 @@
 /torch
 /transformers
-/weights
+/weights
+/models

docker-compose.yml

@@ -1,17 +1,11 @@
 version: '3.9'
 
-services:
-  model:
-    build: ./build/
-    restart: always
+x-base_service: &base_service
     ports:
       - "7860:7860"
     volumes:
-      - ./cache:/cache
-      - ./output:/output
-      - ./models:/models
-    environment:
-      - CLI_ARGS=--extra-models-cpu
+      - &v1 ./cache:/cache
+      - &v2 ./output:/output
     deploy:
       resources:
         reservations:
@@ -19,3 +13,42 @@ services:
               - driver: nvidia
                 device_ids: ['0']
                 capabilities: [gpu]
+
+name: webui-docker
+
+services:
+  download:
+    build: ./services/download/
+    profiles: ["download"]
+    volumes:
+      - *v1
+
+  hlky:
+    <<: *base_service
+    profiles: ["hlky"]
+    build: ./services/hlky/
+    environment:
+      - CLI_ARGS=--optimized-turbo
+
+  automatic1111: &automatic
+    <<: *base_service
+    profiles: ["auto"]
+    build: ./services/AUTOMATIC1111
+    volumes:
+      - *v1
+      - *v2
+      - ./services/AUTOMATIC1111/config.json:/stable-diffusion-webui/config.json
+    environment:
+      - CLI_ARGS=--medvram --opt-split-attention
+
+  automatic1111-cpu:
+    <<: *automatic
+    profiles: ["auto-cpu"]
+    deploy: {}
+    environment:
+      - CLI_ARGS=--no-half --precision full
+
+  lstein:
+    <<: *base_service
+    profiles: ["lstein"]
+    build: ./services/lstein/

models/.gitignore

@@ -1,4 +0,0 @@
-/model.ckpt
-/GFPGANv1.3.pth
-/RealESRGAN_x4plus.pth
-/RealESRGAN_x4plus_anime_6B.pth

scripts/chmod.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+set -Eeuo pipefail
+
+find . -name "*.sh" -exec git update-index --chmod=+x {} \;

services/AUTOMATIC1111/Dockerfile

@@ -0,0 +1,64 @@
+# syntax=docker/dockerfile:1
+
+FROM alpine/git:2.36.2 as download
+RUN <<EOF
+# because taming-transformers is huge
+git config --global http.postBuffer 1048576000
+git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer
+git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion
+git clone https://github.com/salesforce/BLIP.git repositories/BLIP
+git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers
+rm -rf repositories/taming-transformers/data repositories/taming-transformers/assets
+EOF
+
+
+FROM continuumio/miniconda3:4.12.0
+
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN conda install python=3.8.5 && conda clean -a -y
+RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
+
+RUN apt-get update && apt install fonts-dejavu-core rsync -y && apt-get clean
+
+
+RUN <<EOF
+git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
+cd stable-diffusion-webui
+git reset --hard 13eec4f3d4081fdc43883c5ef02e471a2b6c7212
+conda env update --file environment-wsl2.yaml -n base
+conda clean -a -y
+pip install --prefer-binary --no-cache-dir -r requirements.txt
+EOF
+
+ENV ROOT=/stable-diffusion-webui \
+  WORKDIR=/stable-diffusion-webui/repositories/stable-diffusion
+
+COPY --from=download /git/ ${ROOT}
+RUN pip install --prefer-binary --no-cache-dir -r ${ROOT}/repositories/CodeFormer/requirements.txt
+
+# Note: don't update the sha of previous versions because the install will take forever
+# instead, update the repo state in a later step
+
+ARG SHA=2ddaeb318a9626502ef4bf949a312253d8021ff0
+RUN <<EOF
+cd stable-diffusion-webui
+git pull --rebase
+git reset --hard ${SHA}
+pip install --prefer-binary --no-cache-dir -r requirements.txt
+EOF
+
+RUN pip install --prefer-binary -U --no-cache-dir opencv-python-headless
+
+ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
+
+COPY . /docker
+RUN chmod +x /docker/mount.sh && python3 /docker/info.py ${ROOT}/modules/ui.py
+
+
+WORKDIR ${WORKDIR}
+EXPOSE 7860
+# run, -u to not buffer stdout / stderr
+CMD /docker/mount.sh && python3 -u ../../webui.py --listen --port 7860 --hide-ui-dir-config ${CLI_ARGS}

services/AUTOMATIC1111/README.md

@@ -0,0 +1,14 @@
+# WebUI for AUTOMATIC1111
+
+The WebUI of [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) as docker container!
+
+## Setup
+
+Clone this repo, download the `model.ckpt` and `GFPGANv1.3.pth` and put into the `models` folder as mentioned in [the main README](../README.md), then run
+
+```
+cd AUTOMATIC1111
+docker compose up --build
+```
+
+You can change the cli parameters in `AUTOMATIC1111/docker-compose.yml`. The full list of cil parameters can be found [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/master/modules/shared.py)

services/AUTOMATIC1111/config.json

@@ -0,0 +1,48 @@
+{
+  "outdir_samples": "/output",
+  "outdir_txt2img_samples": "/output/txt2img-images",
+  "outdir_img2img_samples": "/output/img2img-images",
+  "outdir_extras_samples": "/output/extras-images",
+  "outdir_txt2img_grids": "/output/txt2img-grids",
+  "outdir_img2img_grids": "/output/img2img-grids",
+  "outdir_save": "/output/saved",
+  "font": "DejaVuSans.ttf",
+  "__WARNING__": "DON'T CHANGE ANYTHING BEFORE THIS",
+
+  "samples_filename_format": "",
+  "outdir_grids": "",
+  "save_to_dirs": false,
+  "grid_save_to_dirs": false,
+  "save_to_dirs_prompt_len": 10,
+  "samples_save": true,
+  "samples_format": "png",
+  "grid_save": true,
+  "return_grid": true,
+  "grid_format": "png",
+  "grid_extended_filename": false,
+  "grid_only_if_multiple": true,
+  "n_rows": -1,
+  "jpeg_quality": 80,
+  "export_for_4chan": true,
+  "enable_pnginfo": true,
+  "add_model_hash_to_info": false,
+  "enable_emphasis": true,
+  "save_txt": false,
+  "ESRGAN_tile": 192,
+  "ESRGAN_tile_overlap": 8,
+  "random_artist_categories": [],
+  "upscale_at_full_resolution_padding": 16,
+  "show_progressbar": true,
+  "show_progress_every_n_steps": 7,
+  "multiple_tqdm": true,
+  "face_restoration_model": null,
+  "code_former_weight": 0.5,
+  "save_images_before_face_restoration": false,
+  "face_restoration_unload": false,
+  "interrogate_keep_models_in_memory": false,
+  "interrogate_use_builtin_artists": true,
+  "interrogate_clip_num_beams": 1,
+  "interrogate_clip_min_length": 24,
+  "interrogate_clip_max_length": 48,
+  "interrogate_clip_dict_limit": 1500.0
+}

services/AUTOMATIC1111/info.py

@@ -0,0 +1,14 @@
+import sys
+from pathlib import Path
+
+file = Path(sys.argv[1])
+file.write_text(
+  file.read_text()\
+  .replace('    return demo', """
+    with demo:
+        gr.Markdown(
+          'Created by [AUTOMATIC1111 / stable-diffusion-webui-docker](https://github.com/AbdBarho/stable-diffusion-webui-docker/)'
+        )
+    return demo
+""", 1)
+)

services/AUTOMATIC1111/mount.sh

@@ -0,0 +1,36 @@
+#!/bin/bash
+
+set -e
+
+declare -A MODELS
+
+MODELS["${WORKDIR}/models/ldm/stable-diffusion-v1/model.ckpt"]=model.ckpt
+MODELS["${ROOT}/GFPGANv1.3.pth"]=GFPGANv1.3.pth
+
+MODELS_DIR=/cache/models
+
+for path in "${!MODELS[@]}"; do
+  name=${MODELS[$path]}
+  base=$(dirname "${path}")
+  from_path="${MODELS_DIR}/${name}"
+  if test -f "${from_path}"; then
+    mkdir -p "${base}" && ln -sf "${from_path}" "${path}" && echo "Mounted ${name}"
+  else
+    echo "Skipping ${name}"
+  fi
+done
+
+# force realesrgan cache
+rm -rf /opt/conda/lib/python3.8/site-packages/realesrgan/weights
+ln -s -T "${MODELS_DIR}" /opt/conda/lib/python3.8/site-packages/realesrgan/weights
+
+# force facexlib cache
+mkdir -p /cache/weights/ ${WORKDIR}/gfpgan/
+ln -sf /cache/weights/ ${WORKDIR}/gfpgan/
+# code former cache
+rm -rf ${ROOT}/repositories/CodeFormer/weights/CodeFormer ${ROOT}/repositories/CodeFormer/weights/facelib
+ln -sf -T /cache/weights ${ROOT}/repositories/CodeFormer/weights/CodeFormer
+ln -sf -T /cache/weights ${ROOT}/repositories/CodeFormer/weights/facelib
+
+# mount config
+# ln -sf /docker/config.json ${WORKDIR}/config.json

services/download/Dockerfile

@@ -0,0 +1,6 @@
+FROM bash:alpine3.15
+
+RUN apk add parallel
+COPY . /docker
+RUN chmod +x /docker/download.sh
+ENTRYPOINT ["/docker/download.sh"]

services/download/checksums.sha256

@@ -0,0 +1,6 @@
+fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556  /cache/models/model.ckpt
+c953a88f2727c85c3d9ae72e2bd4846bbaf59fe6972ad94130e23e7017524a70  /cache/models/GFPGANv1.3.pth
+4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1  /cache/models/RealESRGAN_x4plus.pth
+f872d837d3c90ed2e05227bed711af5671a6fd1c9f7d7e91c911a61f155e99da  /cache/models/RealESRGAN_x4plus_anime_6B.pth
+c209caecac2f97b4bb8f4d726b70ac2ac9b35904b7fc99801e1f5e61f9210c13  /cache/models/LDSR.ckpt
+9d6ad53c5dafeb07200fb712db14b813b527edd262bc80ea136777bdb41be2ba  /cache/models/LDSR.yaml

services/download/download.sh

@@ -0,0 +1,33 @@
+#!/usr/bin/env bash
+
+set -Eeuo pipefail
+
+# [[ "$(sha256sum -b $file | head -c 64)" == "$sha" ]]
+
+declare -A MODELS
+
+MODELS['model.ckpt']='https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media'
+MODELS['GFPGANv1.3.pth']='https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth'
+MODELS['RealESRGAN_x4plus.pth']='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth'
+MODELS['RealESRGAN_x4plus_anime_6B.pth']='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth'
+MODELS['LDSR.yaml']='https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1'
+MODELS['LDSR.ckpt']='https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1'
+
+echo "Downloading..."
+
+for file in "${!MODELS[@]}"; do
+  url=${MODELS[$file]}
+  full_path="/cache/models/$file"
+
+  if [[ -f "$full_path" ]]; then
+    echo "- $file exists"
+    continue
+  fi
+
+  mkdir -p $(dirname $full_path)
+  wget --tries=10 -c -O $full_path $url
+done
+
+echo "Checking SHAs..."
+
+time parallel --will-cite -a /docker/checksums.sha256 "echo -n {} | sha256sum -c"

services/hlky/Dockerfile

@@ -0,0 +1,63 @@
+# syntax=docker/dockerfile:1
+
+FROM continuumio/miniconda3:4.12.0
+
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN conda install python=3.8.5 && conda clean -a -y
+RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
+
+RUN apt-get update && apt install fonts-dejavu-core rsync gcc -y && apt-get clean
+
+
+RUN <<EOF
+git clone https://github.com/sd-webui/stable-diffusion-webui.git stable-diffusion
+cd stable-diffusion
+git reset --hard 7623a5734740025d79b710f3744bff9276e1467b
+conda env update --file environment.yaml -n base
+conda clean -a -y
+EOF
+
+# new dependency, should be added to the environment.yaml
+RUN pip install -U --no-cache-dir pyperclip
+
+# Note: don't update the sha of previous versions because the install will take forever
+# instead, update the repo state in a later step
+ARG BRANCH=master
+ARG SHA=833a91047df999302f699637768741cecee9c37b
+# ARG BRANCH=dev
+# ARG SHA=b4de6caf697d311c1238c15a4c863fa529a35522
+RUN <<EOF
+cd stable-diffusion
+git fetch
+git checkout ${BRANCH}
+git reset --hard ${SHA}
+conda env update --file environment.yaml -n base
+conda clean -a -y
+EOF
+
+# Latent diffusion
+RUN <<EOF
+git clone https://github.com/Hafiidz/latent-diffusion.git
+cd latent-diffusion
+git reset --hard e1a84a89fcbb49881546cf2acf1e7e250923dba0
+# hacks all the way down
+mv ldm ldm_latent &&
+sed -i -- 's/from ldm/from ldm_latent/g' *.py
+# dont forget to update the yaml!!
+EOF
+
+
+# add info
+COPY . /docker/
+RUN python /docker/info.py /stable-diffusion/frontend/frontend.py && chmod +x /docker/mount.sh
+
+WORKDIR /stable-diffusion
+ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
+EXPOSE 7860
+# run, -u to not buffer stdout / stderr
+CMD /docker/mount.sh && \
+  python3 -u scripts/webui.py --outdir /output --ckpt /cache/models/model.ckpt --ldsr-dir /latent-diffusion --inbrowser ${CLI_ARGS}
+  # STREAMLIT_SERVER_PORT=7860 python -m streamlit run scripts/webui_streamlit.py

services/hlky/info.py

@@ -0,0 +1,13 @@
+import sys
+from pathlib import Path
+
+file = Path(sys.argv[1])
+file.write_text(
+  file.read_text()\
+  .replace('<p>For help and advanced usage guides,', """
+  <p>
+    Created using <a href="https://github.com/AbdBarho/stable-diffusion-webui-docker">stable-diffusion-webui-docker</a>.
+  </p>
+  <p>For help and advanced usage guides,
+""", 1)
+)

services/hlky/mount.sh

@@ -0,0 +1,38 @@
+#!/bin/bash
+
+set -e
+
+declare -A MODELS
+
+ROOT=/stable-diffusion/src
+
+MODELS["${ROOT}/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth"]=GFPGANv1.3.pth
+MODELS["${ROOT}/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus.pth"]=RealESRGAN_x4plus.pth
+MODELS["${ROOT}/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus_anime_6B.pth"]=RealESRGAN_x4plus_anime_6B.pth
+MODELS["/latent-diffusion/experiments/pretrained_models/model.ckpt"]=LDSR.ckpt
+# MODELS["/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml
+
+MODELS_DIR=/cache/models
+
+for path in "${!MODELS[@]}"; do
+  name=${MODELS[$path]}
+  base=$(dirname "${path}")
+  from_path="${MODELS_DIR}/${name}"
+  if test -f "${from_path}"; then
+    mkdir -p "${base}" && ln -sf "${from_path}" "${path}" && echo "Mounted ${name}"
+  else
+    echo "Skipping ${name}"
+  fi
+done
+
+# hack for latent-diffusion
+if test -f "${MODELS_DIR}/LDSR.yaml"; then
+  sed 's/ldm\./ldm_latent\./g' "${MODELS_DIR}/LDSR.yaml" >/latent-diffusion/experiments/pretrained_models/project.yaml
+fi
+
+# force facexlib cache
+mkdir -p /cache/weights/ /stable-diffusion/gfpgan/
+ln -sf /cache/weights/ /stable-diffusion/gfpgan/
+
+# streamlit config
+ln -sf /docker/webui_streamlit.yaml /stable-diffusion/configs/webui/webui_streamlit.yaml

services/hlky/webui_streamlit.yaml

@@ -0,0 +1,102 @@
+# UI defaults configuration file. It is automatically loaded if located at configs/webui/webui_streamlit.yaml.
+general:
+  gpu: 0
+  outdir: /outputs
+  ckpt: "/cache/models/model.ckpt"
+  fp:
+    name: "embeddings/alex/embeddings_gs-11000.pt"
+  GFPGAN_dir: "./src/gfpgan"
+  RealESRGAN_dir: "./src/realesrgan"
+  RealESRGAN_model: "RealESRGAN_x4plus"
+  outdir_txt2img: /outputs/txt2img-samples
+  outdir_img2img: /outputs/img2img-samples
+  gfpgan_cpu: False
+  esrgan_cpu: False
+  extra_models_cpu: False
+  extra_models_gpu: False
+  save_metadata: True
+  skip_grid: False
+  skip_save: False
+  grid_format: "jpg:95"
+  save_format: "png"
+  n_rows: -1
+  no_verify_input: False
+  no_half: False
+  precision: "autocast"
+  optimized: False
+  optimized_turbo: False
+  update_preview: True
+  update_preview_frequency: 1
+
+txt2img:
+  prompt:
+  height: 512
+  width: 512
+  cfg_scale: 5.0
+  seed: ""
+  batch_count: 1
+  batch_size: 1
+  sampling_steps: 50
+  default_sampler: "k_lms"
+  separate_prompts: False
+  normalize_prompt_weights: True
+  save_individual_images: True
+  save_grid: True
+  group_by_prompt: True
+  save_as_jpg: False
+  use_GFPGAN: True
+  use_RealESRGAN: True
+  RealESRGAN_model: "RealESRGAN_x4plus"
+  variant_amount: 0.0
+  variant_seed: ""
+
+img2img:
+  prompt:
+  sampling_steps: 50
+  # Adding an int to toggles enables the corresponding feature.
+  # 0: Create prompt matrix (separate multiple prompts using |, and get all combinations of them)
+  # 1: Normalize Prompt Weights (ensure sum of weights add up to 1.0)
+  # 2: Loopback (use images from previous batch when creating next batch)
+  # 3: Random loopback seed
+  # 4: Save individual images
+  # 5: Save grid
+  # 6: Sort samples by prompt
+  # 7: Write sample info files
+  # 8: jpg samples
+  # 9: Fix faces using GFPGAN
+  # 10: Upscale images using Real-ESRGAN
+  sampler_name: k_lms
+  denoising_strength: 0.45
+  # 0: Keep masked area
+  # 1: Regenerate only masked area
+  mask_mode: 0
+  # 0: Just resize
+  # 1: Crop and resize
+  # 2: Resize and fill
+  resize_mode: 0
+  # Leave blank for random seed:
+  seed: ""
+  ddim_eta: 0.0
+  cfg_scale: 5.0
+  batch_count: 1
+  batch_size: 1
+  height: 512
+  width: 512
+  # Textual inversion embeddings file path:
+  fp: ""
+  loopback: True
+  random_seed_loopback: True
+  separate_prompts: False
+  normalize_prompt_weights: True
+  save_individual_images: True
+  save_grid: True
+  group_by_prompt: True
+  save_as_jpg: False
+  use_GFPGAN: True
+  use_RealESRGAN: True
+  RealESRGAN_model: "RealESRGAN_x4plus"
+  variant_amount: 0.0
+  variant_seed: ""
+
+gfpgan:
+  strength: 100

services/lstein/Dockerfile

@@ -0,0 +1,31 @@
+# syntax=docker/dockerfile:1
+
+FROM continuumio/miniconda3:4.12.0
+
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN conda install python=3.8.5 && conda clean -a -y
+RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
+
+RUN apt-get update && apt install fonts-dejavu-core rsync gcc -y && apt-get clean
+
+
+RUN <<EOF
+git clone https://github.com/lstein/stable-diffusion.git
+cd stable-diffusion
+git reset --hard 751283a2de81bee4bb571fbabe4adb19f1d85b97
+conda env update --file environment.yaml -n base
+conda clean -a -y
+EOF
+
+ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
+
+WORKDIR /stable-diffusion
+
+EXPOSE 7860
+# run, -u to not buffer stdout / stderr
+CMD mkdir -p /stable-diffusion/models/ldm/stable-diffusion-v1/ && \
+  ln -sf /cache/models/model.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt && \
+  python3 -u scripts/dream.py --outdir /output --web --host 0.0.0.0 --port 7860 ${CLI_ARGS}

services/lstein/README.md

@@ -0,0 +1,14 @@
+# WebUI for lstein
+
+The WebUI of [lstein/stable-diffusion](https://github.com/lstein/stable-diffusion) as docker container!
+
+Although it is a simple UI, the project has a lot of potential.
+
+## Setup
+
+Clone this repo, download the `model.ckpt` and put into the `models` folder as mentioned in [the main README](../README.md), then run
+
+```
+cd lstein
+docker compose up --build
+```