Update versions (#82 )

### Update versions - auto: dd911a47b3 - hlky: 17748cbc9c - lstein: 50d607ffea
Update versions (#77 )
2025-10-27 16:24:26 -04:00 · 2022-09-19 22:02:46 +02:00 · 2022-09-18 13:49:06 +02:00 · 2022-09-17 16:09:54 +02:00 · 2022-09-17 13:44:00 +02:00 · 2022-09-16 21:10:40 +02:00
32 changed files with 618 additions and 306 deletions
--- a/.github/ISSUE_TEMPLATE/bug.md
+++ b/.github/ISSUE_TEMPLATE/bug.md
@@ -7,13 +7,17 @@ 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) and in [the issues in the WebUI repo](https://github.com/hlky/stable-diffusion-webui)**
+**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 '....'
@@ -22,8 +26,11 @@ assignees: ''

 **Hardware / Software:**
 - OS: [e.g. Windows / Ubuntu and version]
+ - RAM:
 - GPU: [Nvidia 1660 / No GPU]
- - Version [e.g. 22]
+ - 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.
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -0,0 +1,5 @@
+### Update versions
+
+- auto: https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/
+- hlky: https://github.com/sd-webui/stable-diffusion-webui/commit/
+- lstein: https://github.com/lstein/stable-diffusion/commit/
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@@ -1,24 +1,19 @@
-name: Build Image
+name: Build Images

 on: [push]

-# TODO: how to cache intermediate images?
 jobs:
-  build_hlky:
+  build:
+    strategy:
+      matrix:
+        profile:
+          - auto
+          - hlky
+          - lstein
+          - download
    runs-on: ubuntu-latest
-    name: hlky
+    name: ${{ matrix.profile }}
    steps:
      - uses: actions/checkout@v3
-      - run: docker compose build --progress plain
-  build_AUTOMATIC1111:
-    runs-on: ubuntu-latest
-    name: AUTOMATIC1111
-    steps:
-      - uses: actions/checkout@v3
-      - run: cd AUTOMATIC1111 && docker compose build --progress plain
-  build_lstein:
-    runs-on: ubuntu-latest
-    name: lstein
-    steps:
-      - uses: actions/checkout@v3
-      - run: cd lstein && docker compose build --progress plain
+      # better caching?
+      - run: docker compose --profile ${{ matrix.profile }} build --progress plain
--- a/.github/workflows/stale.yml
+++ b/.github/workflows/stale.yml
@@ -0,0 +1,20 @@
+name: 'Close stale issues and PRs'
+on:
+  schedule:
+    - cron: '30 1 * * *'
+
+jobs:
+  stale:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/stale@v5
+        with:
+          only-labels: awaiting-response
+          stale-issue-message: This issue is stale because it has been open 14 days with no activity. Remove stale label or comment or this will be closed in 7 days.
+          stale-pr-message: This PR is stale because it has been open 14 days with no activity. Remove stale label or comment or this will be closed in 7 days.
+          close-issue-message: This issue was closed because it has been stalled for 7 days with no activity.
+          close-pr-message: This PR was closed because it has been stalled for 7 days with no activity.
+          days-before-issue-stale: 14
+          days-before-pr-stale: 14
+          days-before-issue-close: 7
+          days-before-pr-close: 7
--- a/AUTOMATIC1111/Dockerfile
+++ b/AUTOMATIC1111/Dockerfile
@@ -1,55 +0,0 @@
-# syntax=docker/dockerfile:1
-
-FROM alpine/git:2.36.2 as download
-RUN <<EOF
-# who knows
-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/CompVis/taming-transformers.git repositories/taming-transformers
-rm -rf repositories/taming-transformers/data repositories/taming-transformers/assets
-EOF
-
-FROM pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime
-
-SHELL ["/bin/bash", "-ceuxo", "pipefail"]
-
-ENV DEBIAN_FRONTEND=noninteractive
-RUN apt-get update && apt-get install git fonts-dejavu-core -y && apt-get clean
-
-RUN <<EOF
-git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
-cd stable-diffusion-webui
-git reset --hard db6db585eb9ee48e7315e28603e18531dbc87067
-pip install -U --prefer-binary --no-cache-dir -r requirements.txt
-EOF
-
-# 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=e92d4cf7476f1897fce376916dfb40755ea7920f
-RUN <<EOF
-cd stable-diffusion-webui
-git pull
-git reset --hard ${SHA}
-pip install -U --prefer-binary --no-cache-dir -r requirements.txt
-EOF
-
-ENV ROOT=/workspace/stable-diffusion-webui \
-  WORKDIR=/workspace/stable-diffusion-webui/repositories/stable-diffusion
-
-COPY --from=download /git/ ${ROOT}
-RUN <<EOF
-pip install --prefer-binary -U --no-cache-dir -r ${ROOT}/repositories/CodeFormer/requirements.txt
-pip install --prefer-binary -U --no-cache-dir opencv-python-headless markupsafe==2.0.1
-EOF
-
-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 ${CLI_ARGS}
--- a/AUTOMATIC1111/README.md
+++ b/AUTOMATIC1111/README.md
@@ -1,14 +0,0 @@
-# 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)
--- a/AUTOMATIC1111/config.json
+++ b/AUTOMATIC1111/config.json
@@ -1,4 +0,0 @@
-{
-  "outdir_samples": "/output",
-  "font": "DejaVuSans.ttf"
-}
--- a/AUTOMATIC1111/docker-compose.yml
+++ b/AUTOMATIC1111/docker-compose.yml
@@ -1,20 +0,0 @@
-version: '3.9'
-
-services:
-  model:
-    build: .
-    ports:
-      - "7860:7860"
-    volumes:
-      - ../cache:/cache
-      - ../output:/output
-      - ../models:/models
-    environment:
-      - CLI_ARGS=--medvram --opt-split-attention
-    deploy:
-      resources:
-        reservations:
-          devices:
-              - driver: nvidia
-                device_ids: ['0']
-                capabilities: [gpu]
--- a/README.md
+++ b/README.md
@@ -1,83 +1,67 @@
-# Stable Diffusion WebUI Docker
+# Stable Diffusion WebUI Docker

 Run Stable Diffusion on your machine with a nice UI without any hassle!

-This repository provides the [WebUI](https://github.com/hlky/stable-diffusion-webui) as a docker image for easy setup and deployment.
-
-Now with experimental support for 2 other forks:
-
- [AUTOMATIC1111](./AUTOMATIC1111/) (Stable, very few bugs!)
- [lstein](./lstein/)
+This repository provides multiple UIs for you to play around with stable diffusion:

 ## Features

- Interactive UI with many features, and more on the way!
- Support for 6GB GPU cards.
- GFPGAN for face reconstruction, RealESRGAN for super-sampling.
- Experimental:
-  - Latent Diffusion Super Resolution
-  - GoBig
-  - GoLatent
- many more!
+### AUTOMATIC1111

-## Setup
+[AUTOMATIC1111's fork](https://github.com/AUTOMATIC1111/stable-diffusion-webui) is imho the most feature rich yet elegant UI:

-Make sure you have an **up to date** version of docker installed. Download this repo and run:
+- Text to image, with many samplers and even negative prompts!
+- Image to image, with masking, cropping, in-painting, out-painting, variations.
+- GFPGAN, RealESRGAN, LDSR, CodeFormer.
+- Loopback, prompt weighting, prompt matrix, X/Y plot
+- Live preview of the generated images.
+- Highly optimized 4GB GPU support, or even CPU only!
+- [Full feature list here](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)

-```
-docker compose build
-```
+| Text to image                                                                                              | Image to image                                                                                             | Extras                                                                                                     |
+| ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
+| ![](https://user-images.githubusercontent.com/24505302/189541954-46afd772-d0c8-4005-874c-e2eca40c02f2.jpg) | ![](https://user-images.githubusercontent.com/24505302/189541956-5b528de7-1b5d-479f-a1db-d3f5a53afc59.jpg) | ![](https://user-images.githubusercontent.com/24505302/189541957-cf78b352-a071-486d-8889-f26952779a61.jpg) |

-you can let it build in the background while you download the different models
+### hlky

- [Stable Diffusion v1.4 (4GB)](https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media), rename to `model.ckpt`
- (Optional) [GFPGANv1.3.pth (333MB)](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth).
- (Optional) [RealESRGAN_x4plus.pth (64MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth (18MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
- (Optional) [LDSR (2GB)](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1) and [its configuration](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1), rename to `LDSR.ckpt` and `LDSR.yaml` respectively.
-<!-- - (Optional) [RealESRGAN_x2plus.pth (64MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth)
- TODO: (I still need to find the RealESRGAN_x2plus_6b.pth) -->
+[hlky's fork](https://github.com/hlky/stable-diffusion-webui) is one of the most popular UIs, with many features:

-Put all of the downloaded files in the `models` folder, it should look something like this:
+- Text to image, with many samplers
+- Image to image, with masking, cropping, in-painting, variations.
+- GFPGAN, RealESRGAN, LDSR, GoBig, GoLatent
+- Loopback, prompt weighting
+- 6GB or even 4GB GPU support!
+- [Full feature list here](https://github.com/sd-webui/stable-diffusion-webui/blob/master/README.md)

-```
-models/
-├── model.ckpt
-├── GFPGANv1.3.pth
-├── RealESRGAN_x4plus.pth
-├── RealESRGAN_x4plus_anime_6B.pth
-├── LDSR.ckpt
-└── LDSR.yaml
-```
+Screenshots:

-## Run
+| Text to image                                                                                              | Image to image                                                                                             | Image Lab                                                                                                  |
+| ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
+| ![](https://user-images.githubusercontent.com/24505302/189541298-f902b021-a1eb-4e4b-b2eb-b6a696a8ec80.jpg) | ![](https://user-images.githubusercontent.com/24505302/189541295-7d7f2162-2189-4e0a-abbd-703f4779e1cd.jpg) | ![](https://user-images.githubusercontent.com/24505302/189541294-aa7f7735-a973-4e17-ada0-1fe3acbb1772.jpg) |

-After the build is done, you can run the app with:
+### lstein

-```
-docker compose up --build
-```
+[lstein's fork](https://github.com/lstein/stable-diffusion) is very mature when it comes to the cli, and the WebUI has potential.

-Will start the app on http://localhost:7860/
+| Text to image                                                                                              | Image to image                                                                                             | Extras                                                                                                     |
+| ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
+| ![](https://user-images.githubusercontent.com/24505302/190662506-dabdc967-93af-4d78-8533-394604d29ba4.jpg) | ![](https://user-images.githubusercontent.com/24505302/190662557-7640d9f0-30d8-4527-97b0-07d3f48108d4.jpg) | ![](https://user-images.githubusercontent.com/24505302/190662588-37a01fad-f993-4674-9ae6-8714aa229f7b.jpg) |

-Note: the first start will take sometime as some other models will be downloaded, these will be cached in the `cache` folder, so next runs are faster.
+## Setup & Usage

-### FAQ
+Visit the wiki for [Setup](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Setup) and [Usage](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Usage) instructions, checkout the [FAQ](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/FAQ) page if you face any problems, or create a new issue!

-You can find fixes to common issues [in the wiki page.](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/FAQ)
+## Contributing

-## Config
+Contributions are welcome! create an issue first of what you want to contribute (before you implement anything) so we can talk about it.

-in the `docker-compose.yml` you can change the `CLI_ARGS` variable, which contains the arguments that will be passed to the WebUI. By default: `--extra-models-cpu --optimized-turbo` are given, which allow you to use this model on a 6GB GPU. However, some features might not be available in the mode. [You can find the full list of arguments here.](https://github.com/hlky/stable-diffusion-webui/blob/2b1ac8daf7ea82c6c56eabab7e80ec1c33106a98/scripts/webui.py)
-
-You can set the `WEBUI_SHA` to [any SHA from the main repo](https://github.com/hlky/stable-diffusion/commits/main), this will build the container against that commit. Use at your own risk.
-
-# Disclaimer
+## Disclaimer

 The authors of this project are not responsible for any content generated using this interface.

 This license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation and target vulnerable groups. For the full list of restrictions please read [the license](./LICENSE).

-# Thanks
+## Thanks

 Special thanks to everyone behind these awesome projects, without them, none of this would have been possible:

@@ -87,3 +71,4 @@ Special thanks to everyone behind these awesome projects, without them, none of
 - [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)
 - [hlky/sd-enable-textual-inversion](https://github.com/hlky/sd-enable-textual-inversion)
 - [devilismyfriend/latent-diffusion](https://github.com/devilismyfriend/latent-diffusion)
+- [Hafiidz/latent-diffusion](https://github.com/Hafiidz/latent-diffusion)
--- a/cache/.gitignore
+++ b/cache/.gitignore
@@ -1,3 +1,5 @@
 /torch
 /transformers
-/weights
+/weights
+/models
+/custom-models
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,22 +1,11 @@
 version: '3.9'

-services:
-  model:
-    build:
-      context: ./hlky/
-      args:
-        # You can choose any commit sha from https://github.com/hlky/stable-diffusion/commits/main
-        # USE AT YOUR OWN RISK! otherwise just leave it empty.
-        WEBUI_SHA:
-    restart: on-failure
+x-base_service: &base_service
    ports:
      - "7860:7860"
    volumes:
-      - ./cache:/cache
-      - ./output:/output
-      - ./models:/models
-    environment:
-      - CLI_ARGS=--extra-models-cpu --optimized-turbo
+      - &v1 ./cache:/cache
+      - &v2 ./output:/output
    deploy:
      resources:
        reservations:
@@ -24,3 +13,45 @@ 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
+
+  automatic1111-cpu:
+    <<: *automatic
+    profiles: ["auto-cpu"]
+    deploy: {}
+    environment:
+      - CLI_ARGS=--no-half --precision full
+
+  lstein:
+    <<: *base_service
+    profiles: ["lstein"]
+    build: ./services/lstein/
+    environment:
+      - PRELOAD=false
+      - CLI_ARGS=
--- a/hlky/mount.sh
+++ b/hlky/mount.sh
@@ -1,30 +0,0 @@
-#!/bin/bash
-
-set -e
-
-declare -A MODELS
-MODELS["/stable-diffusion/src/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth"]=GFPGANv1.3.pth
-MODELS["/stable-diffusion/src/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus.pth"]=RealESRGAN_x4plus.pth
-MODELS["/stable-diffusion/src/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
-
-for path in "${!MODELS[@]}"; do
-  name=${MODELS[$path]}
-  base=$(dirname "${path}")
-  from_path="/models/${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/LDSR.yaml; then
-  sed 's/ldm\./ldm_latent\./g' /models/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/
--- a/lstein/Dockerfile
+++ b/lstein/Dockerfile
@@ -1,29 +0,0 @@
-# syntax=docker/dockerfile:1
-
-FROM continuumio/miniconda3:4.12.0
-
-SHELL ["/bin/bash", "-ceuxo", "pipefail"]
-
-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/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 /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}
--- a/lstein/README.md
+++ b/lstein/README.md
@@ -1,14 +0,0 @@
-# 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
-```
--- a/lstein/docker-compose.yml
+++ b/lstein/docker-compose.yml
@@ -1,21 +0,0 @@
-version: '3.9'
-
-services:
-  model:
-    build: .
-    restart: on-failure
-    ports:
-      - "7860:7860"
-    volumes:
-      - ../cache:/cache
-      - ../output:/output
-      - ../models:/models
-    environment:
-      - CLI_ARGS=
-    deploy:
-      resources:
-        reservations:
-          devices:
-              - driver: nvidia
-                device_ids: ['0']
-                capabilities: [gpu]
--- a/models/.gitignore
+++ b/models/.gitignore
@@ -1,7 +0,0 @@
-/model.ckpt
-/GFPGANv1.3.pth
-/RealESRGAN_x2plus.pth
-/RealESRGAN_x4plus.pth
-/RealESRGAN_x4plus_anime_6B.pth
-/LDSR.ckpt
-/LDSR.yaml
--- a/scripts/chmod.sh
+++ b/scripts/chmod.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+
+set -Eeuo pipefail
+
+find . -name "*.sh" -exec git update-index --chmod=+x {} \;
--- a/services/AUTOMATIC1111/Dockerfile
+++ b/services/AUTOMATIC1111/Dockerfile
@@ -0,0 +1,67 @@
+# syntax=docker/dockerfile:1
+
+FROM alpine/git:2.36.2 as download
+
+
+RUN git clone --depth 1 https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion
+RUN git clone --depth 1 https://github.com/sczhou/CodeFormer.git repositories/CodeFormer
+RUN git clone --depth 1 https://github.com/salesforce/BLIP.git repositories/BLIP
+
+RUN <<EOF
+# because taming-transformers is huge
+git config --global http.postBuffer 1048576000
+git clone --depth 1 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 7e77938230d4fefb6edccdba0b80b61d8416673e
+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=dd911a47b3c3313b3938b700eb26cbd5bb3e1c95
+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 --ckpt-dir /cache/custom-models --ckpt /cache/models/model.ckpt ${CLI_ARGS}
--- a/services/AUTOMATIC1111/config.json
+++ b/services/AUTOMATIC1111/config.json
@@ -0,0 +1,58 @@
+{
+  "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,
+  "samples_filename_pattern": "",
+  "directories_filename_pattern": "",
+  "save_selected_only": false,
+  "filter_nsfw": false,
+  "img2img_color_correction": false,
+  "img2img_fix_steps": false,
+  "enable_quantization": false,
+  "enable_batch_seeds": true,
+  "memmon_poll_rate": 8,
+  "sd_model_checkpoint": null
+}
--- a/services/AUTOMATIC1111/info.py
+++ b/services/AUTOMATIC1111/info.py
@@ -7,7 +7,7 @@ file.write_text(
  .replace('    return demo', """
    with demo:
        gr.Markdown(
-          'Created by [AUTOMATIC1111 / stable-diffusion-webui-docker](https://github.com/AbdBarho/stable-diffusion-webui-docker/tree/master/AUTOMATIC1111)'
+          'Created by [AUTOMATIC1111 / stable-diffusion-webui-docker](https://github.com/AbdBarho/stable-diffusion-webui-docker/)'
        )
    return demo
 """, 1)
--- a/services/AUTOMATIC1111/mount.sh
+++ b/services/AUTOMATIC1111/mount.sh
@@ -1,14 +1,18 @@
 #!/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 "${path}")
-  from_path="/models/${name}"
+  from_path="${MODELS_DIR}/${name}"
  if test -f "${from_path}"; then
    mkdir -p "${base}" && ln -sf "${from_path}" "${path}" && echo "Mounted ${name}"
  else
@@ -17,8 +21,8 @@ for path in "${!MODELS[@]}"; do
 done

 # force realesrgan cache
-rm -rf /opt/conda/lib/python3.7/site-packages/realesrgan/weights
-ln -s -T /models /opt/conda/lib/python3.7/site-packages/realesrgan/weights
+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/
@@ -28,5 +32,4 @@ rm -rf ${ROOT}/repositories/CodeFormer/weights/CodeFormer ${ROOT}/repositories/C
 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
+mkdir -p /cache/torch /cache/transformers /cache/weights /cache/models /cache/custom-models
--- a/services/download/Dockerfile
+++ b/services/download/Dockerfile
@@ -0,0 +1,6 @@
+FROM bash:alpine3.15
+
+RUN apk add parallel aria2
+COPY . /docker
+RUN chmod +x /docker/download.sh
+ENTRYPOINT ["/docker/download.sh"]
--- a/services/download/checksums.sha256
+++ b/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
--- a/services/download/download.sh
+++ b/services/download/download.sh
@@ -0,0 +1,13 @@
+#!/usr/bin/env bash
+
+set -Eeuo pipefail
+
+mkdir -p /cache/torch /cache/transformers /cache/weights /cache/models /cache/custom-models
+
+echo "Downloading, this might take a while..."
+
+aria2c --input-file /docker/links.txt --dir /cache/models --continue
+
+echo "Checking SHAs..."
+
+parallel --will-cite -a /docker/checksums.sha256 "echo -n {} | sha256sum -c"
--- a/services/download/links.txt
+++ b/services/download/links.txt
@@ -0,0 +1,12 @@
+https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media
+  out=model.ckpt
+https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
+  out=GFPGANv1.3.pth
+https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth
+  out=RealESRGAN_x4plus.pth
+https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth
+  out=RealESRGAN_x4plus_anime_6B.pth
+https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1
+  out=LDSR.yaml
+https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1
+  out=LDSR.ckpt
--- a/services/hlky/Dockerfile
+++ b/services/hlky/Dockerfile
@@ -4,42 +4,44 @@ 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 apt-get update && apt install fonts-dejavu-core rsync gcc -y && apt-get clean


 RUN <<EOF
+git config --global http.postBuffer 1048576000
 git clone https://github.com/sd-webui/stable-diffusion-webui.git stable-diffusion
 cd stable-diffusion
-git reset --hard 2b1ac8daf7ea82c6c56eabab7e80ec1c33106a98
+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 WEBUI_SHA=2b1ac8daf7ea82c6c56eabab7e80ec1c33106a98
-RUN cd stable-diffusion && git pull && git reset --hard ${WEBUI_SHA} && \
-  conda env update --file environment.yaml --name base && conda clean -a -y
-
-# Textual inversion
+ARG BRANCH=master
+# ARG SHA=833a91047df999302f699637768741cecee9c37b
+# ARG BRANCH=dev
+ARG SHA=17748cbc9c34df44d0381c42e4f0fe1903089438
 RUN <<EOF
-git clone https://github.com/hlky/sd-enable-textual-inversion.git &&
-cd /sd-enable-textual-inversion && git reset --hard 08f9b5046552d17cf7327b30a98410222741b070 &&
-rsync -a /sd-enable-textual-inversion/ /stable-diffusion/ &&
-rm -rf /sd-enable-textual-inversion
+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

+RUN pip uninstall transformers -y && pip install -U --no-cache-dir pyperclip transformers==4.22
+
 # Latent diffusion
 RUN <<EOF
-git clone https://github.com/devilismyfriend/latent-diffusion &&
-cd /latent-diffusion &&
-git reset --hard 6d61fc03f15273a457950f2cdc10dddf53ba6809 &&
+git clone --depth 1 https://github.com/Hafiidz/latent-diffusion.git
+cd latent-diffusion
 # hacks all the way down
 mv ldm ldm_latent &&
 sed -i -- 's/from ldm/from ldm_latent/g' *.py
@@ -52,7 +54,9 @@ 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=""
+ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch PYTHONPATH="${PYTHONPATH}:/stable-diffusion" CLI_ARGS=""
 EXPOSE 7860
 # run, -u to not buffer stdout / stderr
-CMD /docker/mount.sh && python3 -u scripts/webui.py --outdir /output --ckpt /models/model.ckpt --ldsr-dir /latent-diffusion ${CLI_ARGS}
+CMD /docker/mount.sh && \
+  python3 -u scripts/webui.py --outdir /output --ckpt /cache/models/model.ckpt --ldsr-dir /latent-diffusion --inbrowser ${CLI_ARGS}
+# STREAMLIT_SERVER_PORT=7860 python -m streamlit run scripts/webui_streamlit.py
--- a/services/hlky/info.py
+++ b/services/hlky/info.py
--- a/services/hlky/mount.sh
+++ b/services/hlky/mount.sh
@@ -0,0 +1,38 @@
+#!/bin/bash
+
+set -e
+
+declare -A MODELS
+
+ROOT=/stable-diffusion/src
+
+MODELS["${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
--- a/services/hlky/webui_streamlit.yaml
+++ b/services/hlky/webui_streamlit.yaml
@@ -0,0 +1,155 @@
+# UI defaults configuration file. It is automatically loaded if located at configs/webui/webui_streamlit.yaml.
+general:
+  gpu: 0
+  outdir: /outputs
+
+  default_model: "Stable Diffusion v1.4"
+  default_model_config: "configs/stable-diffusion/v1-inference.yaml"
+  default_model_path: "/cache/models/model.ckpt"
+  fp:
+    name:
+  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
+  save_format: "png"
+  skip_grid: False
+  skip_save: False
+  grid_format: "jpg:95"
+  n_rows: -1
+  no_verify_input: False
+  no_half: False
+  use_float16: False
+  precision: "autocast"
+  optimized: False
+  optimized_turbo: True
+  optimized_config: "optimizedSD/v1-inference.yaml"
+  update_preview: True
+  update_preview_frequency: 5
+
+txt2img:
+  prompt:
+  height: 512
+  width: 512
+  cfg_scale: 7.5
+  seed: ""
+  batch_count: 1
+  batch_size: 1
+  sampling_steps: 30
+  default_sampler: "k_euler"
+  separate_prompts: False
+  update_preview: True
+  update_preview_frequency: 5
+  normalize_prompt_weights: True
+  save_individual_images: True
+  save_grid: True
+  group_by_prompt: True
+  save_as_jpg: False
+  use_GFPGAN: False
+  use_RealESRGAN: False
+  RealESRGAN_model: "RealESRGAN_x4plus"
+  variant_amount: 0.0
+  variant_seed: ""
+  write_info_files: True
+
+txt2vid:
+  default_model: "CompVis/stable-diffusion-v1-4"
+  custom_models_list:
+    [
+      "CompVis/stable-diffusion-v1-4",
+      "naclbit/trinart_stable_diffusion_v2",
+      "hakurei/waifu-diffusion",
+      "osanseviero/BigGAN-deep-128",
+    ]
+  prompt:
+  height: 512
+  width: 512
+  cfg_scale: 7.5
+  seed: ""
+  batch_count: 1
+  batch_size: 1
+  sampling_steps: 30
+  num_inference_steps: 200
+  default_sampler: "k_euler"
+  scheduler_name: "klms"
+  separate_prompts: False
+  update_preview: True
+  update_preview_frequency: 5
+  dynamic_preview_frequency: True
+  normalize_prompt_weights: True
+  save_individual_images: True
+  save_video: True
+  group_by_prompt: True
+  write_info_files: True
+  do_loop: False
+  save_as_jpg: False
+  use_GFPGAN: False
+  use_RealESRGAN: False
+  RealESRGAN_model: "RealESRGAN_x4plus"
+  variant_amount: 0.0
+  variant_seed: ""
+  beta_start: 0.00085
+  beta_end: 0.012
+  beta_scheduler_type: "linear"
+  max_frames: 1000
+
+img2img:
+  prompt:
+  sampling_steps: 30
+  # 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_euler"
+  denoising_strength: 0.45
+  # 0: Keep masked area
+  # 1: Regenerate only masked area
+  mask_mode: 0
+  mask_restore: False
+  # 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: 7.5
+  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
+  update_preview: True
+  update_preview_frequency: 5
+  normalize_prompt_weights: True
+  save_individual_images: True
+  save_grid: True
+  group_by_prompt: True
+  save_as_jpg: False
+  use_GFPGAN: False
+  use_RealESRGAN: False
+  RealESRGAN_model: "RealESRGAN_x4plus"
+  variant_amount: 0.0
+  variant_seed: ""
+  write_info_files: True
+
+gfpgan:
+  strength: 100
--- a/services/lstein/Dockerfile
+++ b/services/lstein/Dockerfile
@@ -0,0 +1,54 @@
+# syntax=docker/dockerfile:1
+
+FROM continuumio/miniconda3:4.12.0
+
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+# now it requires python3.9
+RUN conda install python=3.9 && 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 e994073b5bdfa3c77313681c5944be1544eb65b6
+sed -i -- 's/python=3.8.5/python=3.9/g' environment.yaml
+conda env update --file environment.yaml -n base
+conda clean -a -y
+EOF
+
+
+ARG BRANCH=development SHA=50d607ffea3734072a80e38b09ba0c3758af5d40
+# ARG BRANCH=main SHA=89da371f4841f7e05da5a1672459d700c3920784
+RUN <<EOF
+cd stable-diffusion
+git fetch
+git reset --hard
+git checkout ${BRANCH}
+git reset --hard ${SHA}
+conda env update --file environment.yaml -n base
+conda clean -a -y
+EOF
+
+RUN pip uninstall opencv-python -y && pip install --prefer-binary --force-reinstall --no-cache-dir opencv-python-headless transformers==4.22
+
+COPY . /docker/
+RUN <<EOF
+python3 /docker/info.py /stable-diffusion/static/dream_web/index.html
+chmod +x /docker/mount.sh
+sed -i -- 's/outputs\//\/output/g' /stable-diffusion/backend/server.py
+EOF
+
+
+ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch PRELOAD=false CLI_ARGS=""
+WORKDIR /stable-diffusion
+EXPOSE 7860
+
+CMD /docker/mount.sh && \
+  python3 -u scripts/dream.py --outdir /output --web --host 0.0.0.0 --port 7860 ${CLI_ARGS}
+  #python3 -u backend/server.py
--- a/services/lstein/info.py
+++ b/services/lstein/info.py
@@ -0,0 +1,10 @@
+import sys
+from pathlib import Path
+
+file = Path(sys.argv[1])
+file.write_text(
+  file.read_text()\
+  .replace('GitHub site</a>', """
+  GitHub site</a>, Deployed with <a href="https://github.com/AbdBarho/stable-diffusion-webui-docker/">stable-diffusion-webui-docker</a>
+""", 1)
+)
--- a/services/lstein/mount.sh
+++ b/services/lstein/mount.sh
@@ -0,0 +1,30 @@
+#!/bin/bash
+
+set -eu
+
+ROOT=/stable-diffusion
+
+mkdir -p "${ROOT}/models/ldm/stable-diffusion-v1/"
+ln -sf /cache/models/model.ckpt "${ROOT}/models/ldm/stable-diffusion-v1/model.ckpt"
+
+if test -f /cache/models/GFPGANv1.3.pth; then
+  base="${ROOT}/src/gfpgan/experiments/pretrained_models/"
+  mkdir -p "${base}"
+  ln -sf /cache/models/GFPGANv1.3.pth "${base}/GFPGANv1.3.pth"
+  echo "Mounted GFPGANv1.3.pth"
+fi
+
+# facexlib
+FACEX_WEIGHTS=/opt/conda/lib/python3.9/site-packages/facexlib/weights
+
+rm -rf "${FACEX_WEIGHTS}"
+mkdir -p /cache/weights
+ln -sf -T /cache/weights "${FACEX_WEIGHTS}"
+
+REALESRGAN_WEIGHTS=/opt/conda/lib/python3.9/site-packages/realesrgan/weights
+rm -rf "${REALESRGAN_WEIGHTS}"
+ln -sf -T /cache/weights "${REALESRGAN_WEIGHTS}"
+
+if "${PRELOAD}" == "true"; then
+  python3 -u scripts/preload_models.py
+fi
Author	SHA1	Message	Date
AbdBarho	83b78fe504	Update versions (#82 ) ### Update versions - auto: `dd911a47b3` - hlky: `17748cbc9c` - lstein: `50d607ffea`	2022-09-19 22:02:46 +02:00
AbdBarho	84f9cb84e7	Update versions (#77 ) AUTOMATIC1111/stable-diffusion-webui@9e892d9 lstein/stable-diffusion@9bcb0df transformers==4.22 for caching Refs #78	2022-09-18 13:49:06 +02:00
AbdBarho	6a66ff6abb	Update hlky to dev (#76 ) Update hlky to dev `abb0c1c377`	2022-09-17 16:09:54 +02:00
AbdBarho	59892da866	Custom Models Auto (#75 )	2022-09-17 13:44:00 +02:00
Abdullah Barhoum	fceb83c2b0	Dev hlky	2022-09-16 21:10:40 +02:00
AbdBarho	17b01a7627	Parallel Downloads (#74 )	2022-09-16 20:07:50 +02:00
Abdullah Barhoum	b96d7c30d0	make executable	2022-09-16 18:37:41 +02:00
AbdBarho	aae83bb8f2	Update lstein to dev branch (#73 )	2022-09-16 16:40:20 +02:00
AbdBarho	10763a8f61	Update Git Post Buffer	2022-09-16 06:51:14 +02:00
AbdBarho	64e8f093d2	Create stale.yml	2022-09-16 06:41:49 +02:00
AbdBarho	3e0a137c23	Remove outdated (#69 )	2022-09-15 22:48:38 +02:00
AbdBarho	a1c16942ff	Matrix CI/CD (#68 )	2022-09-15 22:02:38 +02:00
AbdBarho	6ae3473214	Update auto (#67 ) * Update auto	2022-09-15 21:05:31 +02:00
AbdBarho	5d731cb43c	Add gcc (#66 ) * update auto * add gcc	2022-09-15 20:45:21 +02:00
AbdBarho	c1fa2f1457	Updates & Prepare hlky streamlit (#59 )	2022-09-14 19:48:00 +02:00
AbdBarho	d8cfdd3af5	Update Versions (#58 ) * Update Versions	2022-09-13 21:40:10 +02:00
AbdBarho	03d12cbcd9	Update README.md	2022-09-13 20:24:27 +02:00
AbdBarho	2e76b6c4e7	Update README.md	2022-09-13 19:51:58 +02:00
AbdBarho	5eae2076ce	Update Automatic (#55 ) * Update Automatic	2022-09-12 22:46:38 +02:00
AbdBarho	725e1f39ba	Update (#54 ) * Update hlky * Update auto	2022-09-12 22:21:03 +02:00
AbdBarho	ab651fe0d7	Major refactor (#49 ) * update folders * Update CI * Update CI * Unify base docker images * Remove dead config * Update permissions * Remove CPU Hack * Update hlky * Add Download Service * Adapt services * executable * remove buggy parameter * rename to SHA * Update README	2022-09-11 20:18:50 +02:00
AbdBarho	f76f8d4671	Update Versions (#45 ) * Update Automatic to 1b963c20 * Update hlky to dev branch * Update automatic	2022-09-11 05:25:45 +02:00
AbdBarho	e32a48f42a	Update Versions (#43 )	2022-09-09 19:05:19 +02:00
AbdBarho	76989b39a6	Update Versions (#42 ) * Update hlky * Update automatic	2022-09-08 17:56:15 +02:00
AbdBarho	4d9fc381bb	Remove restart on failure (#41 )	2022-09-07 22:38:02 +02:00
AbdBarho	bcee253fe0	Update README.md	2022-09-07 19:52:43 +02:00