mirror of
https://github.com/AbdBarho/stable-diffusion-webui-docker.git
synced 2025-12-03 17:14:06 -05:00
v2 (#108)
### Update versions
- auto:
3f417566b0
### Breaking changes:
* renamed `automatic-1111` service to `auto`
* the `cache` folder is now deprecated, replaced with `data` (see
migration guide below)
* `embeddings` folder has been moved to `data/embeddings`
* use GFPGAN 1.4
### Migration Guide
Note: in theory, running the command
```
docker compose --profile download up --build
```
is all you need to use the new version, however, this means you will
also have to download everything again. A new script is available under
`scripts/migratev1tov2.sh` that will copy models to the new structure
and should get you most of the way, run
```bash
./scripts/migratev1tov2.sh
```
or you can manually inspect the script and copy the files
After that, run
```
docker compose --profile download up --build
```
to validate everything.
This commit is contained in:
@@ -49,7 +49,7 @@ RUN pip install --prefer-binary --no-cache-dir -r ${ROOT}/repositories/CodeForme
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# Note: don't update the sha of previous versions because the install will take forever
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# instead, update the repo state in a later step
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ARG SHA=f80c3696f63a181f720105559d42ee53453ed0eb
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ARG SHA=3f417566b0bda8eab05d247567aebf001c1d1725
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RUN <<EOF
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cd stable-diffusion-webui
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git pull --rebase
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@@ -60,18 +60,16 @@ EOF
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RUN pip install --prefer-binary -U --no-cache-dir opencv-python-headless
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ENV TRANSFORMERS_CACHE=/cache/transformers TORCH_HOME=/cache/torch CLI_ARGS=""
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COPY . /docker
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RUN <<EOF
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chmod +x /docker/mount.sh && python3 /docker/info.py ${ROOT}/modules/ui.py
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# hackiest of hacks, change default cache dir of clip #88
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# https://github.com/openai/CLIP/blob/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1/clip/clip.py#L94
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sed -i -- 's/download_root: str = None/download_root: str = "\/cache\/weights"/' /opt/conda/lib/python3.8/site-packages/clip/clip.py
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EOF
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ENV CLI_ARGS=""
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WORKDIR ${WORKDIR}
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EXPOSE 7860
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# run, -u to not buffer stdout / stderr
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CMD /docker/mount.sh && \
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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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python3 -u ../../webui.py --listen --port 7860 --hide-ui-dir-config --ckpt-dir ${ROOT}/models/Stable-diffusion ${CLI_ARGS}
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# --gfpgan-models-path /data/GFPGAN --codeformer-models-path /data/Codeformer --esrgan-models-path /data/ESRGAN --bsrgan-models-path /data/BSRGAN --realesrgan-models-path /data/RealESRGAN --swinir-models-path /data/SwinIR --ldsr-models-path /data/LDSR
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@@ -1,36 +1,31 @@
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#!/bin/bash
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set -e
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set -Eeuo pipefail
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declare -A MODELS
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declare -A MOUNTS
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MODELS["${ROOT}/GFPGANv1.3.pth"]=GFPGANv1.3.pth
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MODELS["${WORKDIR}/repositories/latent-diffusion/experiments/pretrained_models/model.chkpt"]=LDSR.ckpt
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MODELS["${WORKDIR}/repositories/latent-diffusion/experiments/pretrained_models/project.yaml"]=LDSR.yaml
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MOUNTS["/root/.cache"]="/data/.cache"
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MODELS_DIR=/cache/models
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# main
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MOUNTS["${ROOT}/models/Stable-diffusion"]="/data/StableDiffusion"
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MOUNTS["${ROOT}/models/Codeformer"]="/data/Codeformer"
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MOUNTS["${ROOT}/models/GFPGAN"]="/data/GFPGAN"
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MOUNTS["${ROOT}/models/ESRGAN"]="/data/ESRGAN"
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MOUNTS["${ROOT}/models/BSRGAN"]="/data/BSRGAN"
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MOUNTS["${ROOT}/models/RealESRGAN"]="/data/RealESRGAN"
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MOUNTS["${ROOT}/models/SwinIR"]="/data/SwinIR"
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MOUNTS["${ROOT}/models/LDSR"]="/data/LDSR"
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for path in "${!MODELS[@]}"; do
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name=${MODELS[$path]}
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base=$(dirname "${path}")
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from_path="${MODELS_DIR}/${name}"
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if test -f "${from_path}"; then
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mkdir -p "${base}" && ln -sf "${from_path}" "${path}" && echo "Mounted ${name}"
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else
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echo "Skipping ${name}"
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fi
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MOUNTS["${ROOT}/embeddings"]="/data/embeddings"
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# extra hacks
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MOUNTS["${ROOT}/repositories/CodeFormer/weights/facelib"]="/data/.cache"
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for to_path in "${!MOUNTS[@]}"; do
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set -Eeuo pipefail
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from_path="${MOUNTS[${to_path}]}"
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rm -rf "${to_path}"
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mkdir -p "$(dirname "${to_path}")"
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ln -sT "${from_path}" "${to_path}"
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echo Mounted $(basename "${from_path}")
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done
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# force realesrgan cache
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rm -rf /opt/conda/lib/python3.8/site-packages/realesrgan/weights
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ln -s -T "${MODELS_DIR}" /opt/conda/lib/python3.8/site-packages/realesrgan/weights
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# force facexlib cache
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mkdir -p /cache/weights/ ${WORKDIR}/gfpgan/
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ln -sf /cache/weights/ ${WORKDIR}/gfpgan/
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# code former cache
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rm -rf ${ROOT}/repositories/CodeFormer/weights/CodeFormer ${ROOT}/repositories/CodeFormer/weights/facelib
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ln -sf -T /cache/weights ${ROOT}/repositories/CodeFormer/weights/CodeFormer
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ln -sf -T /cache/weights ${ROOT}/repositories/CodeFormer/weights/facelib
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mkdir -p /cache/torch /cache/transformers /cache/weights /cache/models /cache/custom-models
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