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.

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@@ -2,19 +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
## 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
@@ -25,15 +29,20 @@ 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
── model.ckpt
── LDSR.ckpt
└── LDSR.yaml
```
## Run
@@ -50,15 +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, 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.
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/ff8c2d0b709f1e4180fb19fa5c27ec28c414cedd/scripts/webui.py)
[You can find the full list of arguments here.](https://github.com/hlky/stable-diffusion/blob/d667ff52a36b4e79526f01555bfbf85428f334ce/scripts/webui.py)
## FAQ
### 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)
You can find fixes to common issues [in the wiki page.](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Main)
# Disclaimer

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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}
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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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