21 Commits
1.0.2 ... 1.2.0

Author SHA1 Message Date
AbdBarho
43a5e5e85f Update versions (#99)
- auto:
ca3e5519e8
- hlky:
1fd28eed1e
- lstein:
b40bfb5116
2022-09-26 08:31:47 +02:00
Rafael Goes
5bbc21ea3d Adding embeddings volume for auto textual inversion (#98)
Adding embeddings volume mapping for AUTOMATIC1111, enabling textual
inversion feature. As discussed in #93
2022-09-25 18:56:38 +02:00
AbdBarho
09366ed955 Ignore Updates 2022-09-25 12:42:33 +02:00
AbdBarho
d4874e7c3a Update versions (#96)
- auto:
a2bea2f97a
- hlky:
f585ab1923
   - New UI is still in works & extremely unstable
- lstein: No new updates, especially not to the UI
2022-09-24 11:10:11 +02:00
AbdBarho
7638fb4e5e Fix CLIP model caching #88 (#95)
Refs #88
hacky solution but works for now
2022-09-24 09:57:57 +02:00
AbdBarho
15a61a99d6 Explicit path to GFPGAN model (#91)
Refs #89
2022-09-23 16:38:50 +02:00
AbdBarho
556a50f49b Pin transformers version (#90)
Refs #88
2022-09-23 16:24:14 +02:00
AbdBarho
b899f4e516 Update (#87)
### Update versions

- auto:
d6fd71f36f
- hlky:
2a911049aa
2022-09-23 10:34:01 +02:00
AbdBarho
a8c85b4699 Update versions (#86)
- auto:
5a1951f175
  - Now with LDSR support
- hlky:
fa6a31b23c
- lstein: prepare for new UI

Closes #85
2022-09-21 19:10:27 +02:00
Abdullah Barhoum
a96285d10b Update License 2022-09-20 19:35:10 +02:00
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3e0a137c23 Remove outdated (#69) 2022-09-15 22:48:38 +02:00
22 changed files with 244 additions and 234 deletions

5
.github/pull_request_template.md vendored Normal file
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@@ -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/

21
.github/workflows/stale.yml vendored Normal file
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@@ -0,0 +1,21 @@
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
ignore-updates: true

1
.gitignore vendored
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@@ -1,2 +1,3 @@
/dev
/.devcontainer
embeddings/*

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@@ -86,4 +86,11 @@ administration of justice, law enforcement, immigration or asylum
processes, such as predicting an individual will commit fraud/crime
commitment (e.g. by text profiling, drawing causal relationships between
assertions made in documents, indiscriminate and arbitrarily-targeted
use).
use).
By using this software, you also agree to the following licenses:
https://github.com/CompVis/stable-diffusion/blob/main/LICENSE
https://github.com/TencentARC/GFPGAN/blob/master/LICENSE
https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE

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@@ -16,6 +16,7 @@ This repository provides multiple UIs for you to play around with stable diffusi
- Loopback, prompt weighting, prompt matrix, X/Y plot
- Live preview of the generated images.
- Highly optimized 4GB GPU support, or even CPU only!
- Textual inversion allows you to use pretrained textual inversion embeddings
- [Full feature list here](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)
| Text to image | Image to image | Extras |
@@ -41,13 +42,18 @@ Screenshots:
### lstein
[lstein's fork](https://github.com/lstein/stable-diffusion) is very mature when it comes to the cli, but less so for the WebUI.
[lstein's fork](https://github.com/lstein/stable-diffusion) is very mature when it comes to the cli, and the WebUI has potential.
| 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) |
## Setup & Usage
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!
## Contributing
Contributions are welcome! create an issue first of what you want to contribute (before you implement anything) so we can talk about it.
## Disclaimer

1
cache/.gitignore vendored
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@@ -2,3 +2,4 @@
/transformers
/weights
/models
/custom-models

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@@ -38,8 +38,9 @@ services:
- *v1
- *v2
- ./services/AUTOMATIC1111/config.json:/stable-diffusion-webui/config.json
- ./embeddings:/stable-diffusion-webui/embeddings
environment:
- CLI_ARGS=--medvram --opt-split-attention
- CLI_ARGS=--allow-code --medvram
automatic1111-cpu:
<<: *automatic
@@ -52,3 +53,6 @@ services:
<<: *base_service
profiles: ["lstein"]
build: ./services/lstein/
environment:
- PRELOAD=false
- CLI_ARGS=

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@@ -1,13 +1,19 @@
# syntax=docker/dockerfile:1
FROM alpine/git:2.36.2 as download
RUN git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion && cd repositories/stable-diffusion && git reset --hard 69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc
RUN git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer && cd repositories/CodeFormer && git reset --hard c5b4593074ba6214284d6acd5f1719b6c5d739af
RUN git clone https://github.com/salesforce/BLIP.git repositories/BLIP && cd repositories/BLIP && git reset --hard 48211a1594f1321b00f14c9f7a5b4813144b2fb9
RUN git clone https://github.com/Hafiidz/latent-diffusion.git repositories/latent-diffusion && cd repositories/latent-diffusion && git reset --hard abf33e7002d59d9085081bce93ec798dcabd49af
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
git reset --hard 24268930bf1dce879235a7fddd0b2355b84d7ea6
rm -rf repositories/taming-transformers/data repositories/taming-transformers/assets
EOF
@@ -27,27 +33,27 @@ 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
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=2ddaeb318a9626502ef4bf949a312253d8021ff0
ARG SHA=ca3e5519e8b6dc020c5e7ae508738afb5dc6f3ec
RUN <<EOF
cd stable-diffusion-webui
git pull --rebase
git reset --hard ${SHA}
pip install --prefer-binary --no-cache-dir -r requirements.txt
pip install --prefer-binary --no-cache-dir -r requirements_versions.txt
EOF
RUN pip install --prefer-binary -U --no-cache-dir opencv-python-headless
@@ -55,10 +61,15 @@ 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
RUN <<EOF
chmod +x /docker/mount.sh && python3 /docker/info.py ${ROOT}/modules/ui.py
# hackiest of hacks, change default cache dir of clip #88
# https://github.com/openai/CLIP/blob/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1/clip/clip.py#L94
sed -i -- 's/download_root: str = None/download_root: str = "\/cache\/weights"/' /opt/conda/lib/python3.8/site-packages/clip/clip.py
EOF
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}
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 --gfpgan-model /cache/models/GFPGANv1.3.pth ${CLI_ARGS}

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@@ -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)

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@@ -9,40 +9,71 @@
"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,
"code_former_weight": 0.5,
"directories_filename_pattern": "",
"directories_max_prompt_words": 8,
"enable_batch_seeds": true,
"enable_emphasis": true,
"save_txt": false,
"enable_pnginfo": true,
"enable_quantization": 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,
"export_for_4chan": true,
"face_restoration_model": null,
"code_former_weight": 0.5,
"save_images_before_face_restoration": false,
"face_restoration_unload": false,
"filter_nsfw": false,
"grid_extended_filename": false,
"grid_format": "png",
"grid_only_if_multiple": true,
"grid_save": true,
"grid_save_to_dirs": false,
"img2img_color_correction": false,
"img2img_fix_steps": false,
"interrogate_clip_dict_limit": 1500,
"interrogate_clip_max_length": 48,
"interrogate_clip_min_length": 24,
"interrogate_clip_num_beams": 1,
"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
"jpeg_quality": 80,
"js_modal_lightbox": true,
"js_modal_lightbox_initialy_zoomed": true,
"ldsr_post_down": 1,
"ldsr_pre_down": 1,
"ldsr_steps": 30,
"memmon_poll_rate": 8,
"multiple_tqdm": true,
"n_rows": -1,
"outdir_grids": "",
"random_artist_categories": [],
"realesrgan_enabled_models": [
"Real-ESRGAN 4x plus",
"Real-ESRGAN 4x plus anime 6B",
"Real-ESRGAN 2x plus",
"Real-ESRGAN AnimeVideo",
"Real-ESRGAN General WDN x4x3",
"Real-ESRGAN General x4x3"
],
"return_grid": true,
"samples_filename_format": "",
"samples_filename_pattern": "",
"samples_format": "png",
"samples_log_stdout": false,
"samples_save": true,
"save_images_before_color_correction": false,
"save_images_before_face_restoration": false,
"save_selected_only": false,
"save_to_dirs": false,
"save_to_dirs_prompt_len": 10,
"save_txt": false,
"sd_model_checkpoint": null,
"show_progress_every_n_steps": 7,
"show_progressbar": true,
"SWIN_tile": 192,
"SWIN_tile_overlap": 8,
"upscale_at_full_resolution_padding": 16,
"upscaler_for_hires_fix": null,
"upscaler_for_img2img": null,
"use_original_name_batch": false
}

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@@ -4,8 +4,9 @@ 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["${WORKDIR}/repositories/latent-diffusion/experiments/pretrained_models/model.chkpt"]=LDSR.ckpt
MODELS["${WORKDIR}/repositories/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml
MODELS_DIR=/cache/models
@@ -32,5 +33,4 @@ 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

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@@ -1,6 +1,6 @@
FROM bash:alpine3.15
RUN apk add parallel
RUN apk add parallel aria2
COPY . /docker
RUN chmod +x /docker/download.sh
ENTRYPOINT ["/docker/download.sh"]

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@@ -2,32 +2,19 @@
set -Eeuo pipefail
# [[ "$(sha256sum -b $file | head -c 64)" == "$sha" ]]
mkdir -p /cache/torch /cache/transformers /cache/weights /cache/models /cache/custom-models
declare -A MODELS
cat <<EOF
By using this software, you agree to the following licenses:
https://github.com/CompVis/stable-diffusion/blob/main/LICENSE
https://github.com/TencentARC/GFPGAN/blob/master/LICENSE
https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE
EOF
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, this might take a while..."
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
aria2c --input-file /docker/links.txt --dir /cache/models --continue
echo "Checking SHAs..."
time parallel --will-cite -a /docker/checksums.sha256 "echo -n {} | sha256sum -c"
parallel --will-cite -a /docker/checksums.sha256 "echo -n {} | sha256sum -c"

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@@ -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

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@@ -13,6 +13,7 @@ RUN apt-get update && apt install fonts-dejavu-core rsync gcc -y && apt-get clea
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 7623a5734740025d79b710f3744bff9276e1467b
@@ -20,15 +21,11 @@ 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
# ARG BRANCH=master SHA=d0bb60a139d60e6c2b9be4e18e0e29a86aa5af59
ARG BRANCH=dev SHA=1fd28eed1ebc3aa04b9b00e2a899f3bf07f64bdc
RUN <<EOF
cd stable-diffusion
git fetch
@@ -38,26 +35,16 @@ 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
RUN pip install -U --no-cache-dir pyperclip
# 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=""
ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch PYTHONPATH="${PYTHONPATH}:${PWD}" 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
python3 -u scripts/webui.py --outdir /output --ckpt /cache/models/model.ckpt ${CLI_ARGS}
# STREAMLIT_SERVER_PORT=7860 python -m streamlit run scripts/webui_streamlit.py --theme.base dark

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@@ -9,8 +9,8 @@ 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["${ROOT}/realesrgan/experiments/pretrained_models/RealESRGAN_x4plus_anime_6B.pth"]=RealESRGAN_x4plus_anime_6B.pth
MODELS["/latent-diffusion/experiments/pretrained_models/model.ckpt"]=LDSR.ckpt
# MODELS["/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml
MODELS["${ROOT}/latent-diffusion/experiments/pretrained_models/model.ckpt"]=LDSR.ckpt
MODELS["${ROOT}/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml
MODELS_DIR=/cache/models
@@ -25,14 +25,9 @@ for path in "${!MODELS[@]}"; do
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
ln -sf /docker/userconfig_streamlit.yaml /stable-diffusion/configs/webui/userconfig_streamlit.yaml

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@@ -0,0 +1,8 @@
general:
outdir: /outputs
default_model: "Stable Diffusion v1.4"
default_model_path: /cache/models/model.ckpt
outdir_txt2img: /outputs/txt2img-samples
outdir_img2img: /outputs/img2img-samples
optimized: True
optimized_turbo: True

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@@ -1,102 +0,0 @@
# 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

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@@ -6,26 +6,51 @@ SHELL ["/bin/bash", "-ceuxo", "pipefail"]
ENV DEBIAN_FRONTEND=noninteractive
RUN conda install python=3.8.5 && conda clean -a -y
# 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
git clone https://github.com/invoke-ai/InvokeAI.git stable-diffusion
cd stable-diffusion
git reset --hard 751283a2de81bee4bb571fbabe4adb19f1d85b97
git reset --hard a1739a73b48bfe98b6abcb67f5a0197a9ad270e0
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
ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
ARG BRANCH=development SHA=b40bfb5116b7fc618f78a0d152005ceb46153443
# this breaks on generation:
# there is a new UI anyway, but it is not by any means ready.
# ARG BRANCH=development SHA=bdbc76fcd4bd3362312dc91b087d9af66de423b1
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==4.19.2
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
# 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 && \
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 --host 0.0.0.0 --port 9090

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@@ -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
```

10
services/lstein/info.py Normal file
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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)
)

29
services/lstein/mount.sh Executable file
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#!/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"
base="${ROOT}/src/gfpgan/experiments/pretrained_models/"
mkdir -p "${base}"
# TODO: "real" GFPGANv1.4.pth
ln -sf /cache/models/GFPGANv1.3.pth "${base}/GFPGANv1.4.pth"
echo "Mounted GFPGANv1.3.pth"
# facexlib
FACEX_WEIGHTS=/opt/conda/lib/python3.9/site-packages/facexlib/weights
rm -rf "${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