Update README.md (#18)

* Add Latent Diffusion & Image Lab

* Update versions

.github/ISSUE_TEMPLATE/bug.md

@@ -0,0 +1,29 @@
+---
+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) and in [the issues in the WebUI repo](https://github.com/hlky/stable-diffusion-webui)**
+
+
+
+**Describe the bug**
+
+
+**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]
+ - GPU: [Nvidia 1660 / No GPU]
+ - Version [e.g. 22]
+
+**Additional context**
+Any other context about the problem here. If applicable, add screenshots to help explain your problem.

README.md

@@ -2,11 +2,23 @@
 
 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 docker for easy setup and deployment. Please note that this repo delivers all cutting-edge unstable changes from the WebUI, so expect some bugs.
+This repository provides the [WebUI](https://github.com/hlky/stable-diffusion-webui) as a docker image for easy setup and deployment. Please note that the WebUI is experimental and evolving quickly, so expect some bugs.
+
+## 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:
+  - [Textual Inversion](https://github.com/hlky/sd-enable-textual-inversion)
+  - Latent Diffusion Super Resolution
+  - GoBig
+  - GoLatent
+- many more!
 
 ## Setup
 
-make sure you have docker installed and up to date. Download this repo and run:
+Make sure you have an **up to date** version of docker installed. Download this repo and run:
 
 ```
 docker compose build
@@ -15,17 +27,22 @@ docker compose build
 you can let it build in the background while you download the different models
 
 - [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) to improve generated faces.
+- (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) for super-sampling.
+- (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) -->
 
 Put all of the downloaded files in the `models` folder, it should look something like this:
 
 ```
 models/
+├── model.ckpt
 ├── GFPGANv1.3.pth
 ├── RealESRGAN_x4plus.pth
 ├── RealESRGAN_x4plus_anime_6B.pth
-└── model.ckpt
+├── LDSR.ckpt
+└── LDSR.yaml
 ```
 
 ## Run
@@ -42,9 +59,13 @@ Note: the first start will take sometime as some other models will be downloaded
 
 ## Config
 
-in the `docker-compose.yml` you can change the `CLI_ARGS` variable contains all of the variables that will be passed to [the web ui](https://github.com/hlky/stable-diffusion/blob/fa977b3d6f9d0b264035c949fd70415476f00036/scripts/webui.py).
+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.
 
-By default: `--extra-models-cpu --optimized-turbo` are given, which allow you to use this model on a 6GB GPU.
+[You can find the full list of arguments here.](https://github.com/hlky/stable-diffusion/blob/d667ff52a36b4e79526f01555bfbf85428f334ce/scripts/webui.py)
+
+### FAQ
+
+You can find fixes to common issues [in the wiki page.](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Main)
 
 # Disclaimer
 

build/Dockerfile

@@ -2,19 +2,24 @@
 
 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 ff8c2d0b709f1e4180fb19fa5c27ec28c414cedd
 RUN conda env update --file stable-diffusion/environment.yaml --name base && conda clean -a -y
 
+# Fix: Module PIL has not attribute "Resampling"
+RUN conda install -c anaconda pillow==9.2.0 && conda clean -a -y
+
+
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
 # fonts for generating the grid
-RUN apt-get update && apt install fonts-dejavu-core && apt-get clean
+RUN apt-get update && apt install fonts-dejavu-core rsync -y && apt-get clean
 
 # Note: don't update the sha of previous versions because the install will take forever
 # instead, update the repo state in a later step
-# RUN cd stable-diffusion && git pull && git reset --hard ff8c2d0b709f1e4180fb19fa5c27ec28c414cedd && \
+RUN cd stable-diffusion && git pull && git reset --hard d667ff52a36b4e79526f01555bfbf85428f334ce && \
-#   conda env update --file environment.yaml --name base && conda clean -a -y
+  conda env update --file environment.yaml --name base && conda clean -a -y
 
 # download dev UI version, update the sha below in case you want some other version
 # RUN <<EOF
@@ -28,30 +33,32 @@ RUN apt-get update && apt install fonts-dejavu-core && apt-get clean
 # cd / && rm -rf stable-diffusion-webui
 # EOF
 
-# Textual-inversion:
+# Textual inversion
-# RUN <<EOF
+RUN <<EOF
-# git clone https://github.com/hlky/sd-enable-textual-inversion.git
+git clone https://github.com/hlky/sd-enable-textual-inversion.git &&
-# cp -rf sd-enable-textual-inversion /stable-diffusion
+cd /sd-enable-textual-inversion && git reset --hard 08f9b5046552d17cf7327b30a98410222741b070 &&
-# EOF
+rsync -a /sd-enable-textual-inversion/ /stable-diffusion/ &&
+rm -rf /sd-enable-textual-inversion
+EOF
+
+# Latent diffusion
+RUN <<EOF
+git clone https://github.com/devilismyfriend/latent-diffusion &&
+cd /latent-diffusion &&
+git reset --hard 4119cf038fb953360fb004e48adb9913eed3594a &&
+# 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 info.py /info.py
+COPY . /docker/
-RUN  python /info.py /stable-diffusion/frontend/frontend.py
+RUN python /docker/info.py /stable-diffusion/frontend/frontend.py
 
 WORKDIR /stable-diffusion
-ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS="" \
+ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
-  GFPGAN_PATH=/stable-diffusion/src/gfpgan/experiments/pretrained_models/GFPGANv1.3.pth \
-  RealESRGAN_PATH=/stable-diffusion/src/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus.pth \
-  RealESRGAN_ANIME_PATH=/stable-diffusion/src/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus_anime_6B.pth
 EXPOSE 7860
-CMD \
-  for path in "${GFPGAN_PATH}" "${RealESRGAN_PATH}" "${RealESRGAN_ANIME_PATH}"; do \
-  name=$(basename "${path}"); \
-  base=$(dirname "${path}"); \
-  test -f "/models/${name}" && mkdir -p "${base}" && ln -sf "/models/${name}" "${path}" && echo "Mounted ${name}";\
-  done;\
-  # force facexlib cache
-  mkdir -p /cache/weights/ && rm -rf /stable-diffusion/src/facexlib/facexlib/weights && \
-  ln -sf  /cache/weights/ /stable-diffusion/src/facexlib/facexlib/ && \
 # run, -u to not buffer stdout / stderr
-  python3 -u scripts/webui.py --outdir /output --ckpt /models/model.ckpt --save-metadata ${CLI_ARGS}
+CMD /docker/mount.sh && python3 -u scripts/webui.py --outdir /output --ckpt /models/model.ckpt --ldsr-dir /latent-diffusion --save-metadata ${CLI_ARGS}

build/mount.sh

@@ -0,0 +1,31 @@
+#!/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/
+rm -rf /stable-diffusion/src/facexlib/facexlib/weights
+ln -sf /cache/weights/ /stable-diffusion/src/facexlib/facexlib/

models/.gitignore

@@ -2,3 +2,5 @@
 /GFPGANv1.3.pth
 /RealESRGAN_x4plus.pth
 /RealESRGAN_x4plus_anime_6B.pth
+/LDSR.ckpt
+/LDSR.yaml