9 Commits
0.1.0 ... 0.2.1

Author SHA1 Message Date
AbdBarho
5af482ed8c Update Core to c84748a (#25) 2022-09-03 13:15:25 +02:00
AbdBarho
ce4e190f8f Force LF (#24) 2022-09-03 06:59:16 +02:00
AbdBarho
bae3590980 Make mount.sh executable in the git index (#22) 2022-09-02 16:31:55 +02:00
AbdBarho
1588d1eecf Force LF endings (#19) 2022-09-02 12:16:21 +02:00
AbdBarho
9cbd58b3f4 Update README.md (#18) 2022-09-02 09:58:26 +02:00
AbdBarho
089fc524d8 Add Latent Diffusion & Image Lab (#17)
* Add Latent Diffusion & Image Lab

* Update versions
2022-09-02 09:55:36 +02:00
AbdBarho
0d8b7d4ac8 Update Core to c5b2c86f (#15) 2022-09-01 06:27:15 +02:00
AbdBarho
561664ea6e Update FAQ (#14)
Closes #9

Add fix to green output
2022-08-31 22:32:21 +02:00
AbdBarho
77c2b2d217 Update issue templates (#13) 2022-08-31 19:06:03 +02:00
8 changed files with 182 additions and 101 deletions

9
.editorconfig Normal file
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root = true
[*]
end_of_line = lf
indent_style = space
indent_size = 2
charset = utf-8
insert_final_newline = true
trim_trailing_whitespace = true

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* text=auto eol=lf

29
.github/ISSUE_TEMPLATE/bug.md vendored Normal file
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---
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.

157
README.md
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@@ -1,75 +1,82 @@
# 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 docker for easy setup and deployment. Please note that this repo delivers all cutting-edge unstable changes from the WebUI, 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.
- [Textual Inversion](https://github.com/hlky/sd-enable-textual-inversion)
- many more!
## Setup
make sure you have docker installed and up to date. Download this repo and run:
```
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).
- (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).
Put all of the downloaded files in the `models` folder, it should look something like this:
```
models/
├── GFPGANv1.3.pth
├── RealESRGAN_x4plus.pth
├── RealESRGAN_x4plus_anime_6B.pth
└── model.ckpt
```
## Run
After the build is done, you can run the app with:
```
docker compose up --build
```
Will start the app on http://localhost:7860/
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.
## Config
in the `docker-compose.yml` you can change the `CLI_ARGS` variable, which contains all of 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/blob/ff8c2d0b709f1e4180fb19fa5c27ec28c414cedd/scripts/webui.py)
## FAQ
- To enable [Textual Inversion](https://github.com/hlky/sd-enable-textual-inversion) remove `--optimize` and `--optimize-turbo` flags and add `--no-half`, [more info here](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/6).
- [The Application Freezes When Trying Batch Sizes Higher Than One](https://github.com/AbdBarho/stable-diffusion-webui-docker/issues/12)
- [Output is a green imagee](https://github.com/hlky/stable-diffusion-webui/issues/34)
# 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
Special thanks to everyone behind these awesome projects, without them, none of this would have been possible:
- [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui)
- [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
- [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)
# 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. 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 an **up to date** version of docker installed. Download this repo and run:
```
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).
- (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
├── LDSR.ckpt
└── LDSR.yaml
```
## Run
After the build is done, you can run the app with:
```
docker compose up --build
```
Will start the app on http://localhost:7860/
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.
## Config
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/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
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
Special thanks to everyone behind these awesome projects, without them, none of this would have been possible:
- [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui)
- [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
- [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)

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@@ -2,19 +2,22 @@
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
SHELL ["/bin/bash", "-ceuxo", "pipefail"]
# fonts for generating the grid
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 && \
# conda env update --file environment.yaml --name base && conda clean -a -y
RUN cd stable-diffusion && git pull && git reset --hard c84748aa6802c2f934687883a79bde745d2a58a6 && \
conda env update --file environment.yaml --name base && conda clean -a -y \
&& pip install -U --no-cache-dir pyperclip
# download dev UI version, update the sha below in case you want some other version
# RUN <<EOF
@@ -28,31 +31,32 @@ RUN apt-get update && apt install fonts-dejavu-core rsync -y && apt-get clean
# cd / && rm -rf stable-diffusion-webui
# EOF
# Textual-inversion:
# Textual inversion
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/
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 6d61fc03f15273a457950f2cdc10dddf53ba6809 &&
# 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
RUN python /info.py /stable-diffusion/frontend/frontend.py
COPY . /docker/
RUN python /docker/info.py /stable-diffusion/frontend/frontend.py
WORKDIR /stable-diffusion
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
ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
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}
# 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}

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@@ -9,7 +9,5 @@ file.write_text(
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)\
.replace('img2img_cfg = gr.Slider(minimum=1.0, maximum=30.0', 'img2img_cfg = gr.Slider(minimum=1.0, maximum=60.0')
)
""", 1)
)

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build/mount.sh Executable file
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#!/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/

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models/.gitignore vendored
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/GFPGANv1.3.pth
/RealESRGAN_x4plus.pth
/RealESRGAN_x4plus_anime_6B.pth
/LDSR.ckpt
/LDSR.yaml