14c4b36aff
### 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.
76 lines
3.1 KiB
Docker
76 lines
3.1 KiB
Docker
# syntax=docker/dockerfile:1
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FROM alpine/git:2.36.2 as download
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RUN git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion && cd repositories/stable-diffusion && git reset --hard 69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc
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RUN git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer && cd repositories/CodeFormer && git reset --hard c5b4593074ba6214284d6acd5f1719b6c5d739af
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RUN git clone https://github.com/salesforce/BLIP.git repositories/BLIP && cd repositories/BLIP && git reset --hard 48211a1594f1321b00f14c9f7a5b4813144b2fb9
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RUN git clone https://github.com/Hafiidz/latent-diffusion.git repositories/latent-diffusion && cd repositories/latent-diffusion && git reset --hard abf33e7002d59d9085081bce93ec798dcabd49af
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RUN <<EOF
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# because taming-transformers is huge
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git config --global http.postBuffer 1048576000
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git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers
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git reset --hard 24268930bf1dce879235a7fddd0b2355b84d7ea6
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rm -rf repositories/taming-transformers/data repositories/taming-transformers/assets
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EOF
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RUN git clone https://github.com/crowsonkb/k-diffusion.git repositories/k-diffusion && cd repositories/k-diffusion && git reset --hard 9e3002b7cd64df7870e08527b7664eb2f2f5f3f5
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FROM continuumio/miniconda3:4.12.0
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SHELL ["/bin/bash", "-ceuxo", "pipefail"]
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ENV DEBIAN_FRONTEND=noninteractive
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RUN conda install python=3.8.5 && conda clean -a -y
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RUN conda install pytorch==1.11.0 torchvision==0.12.0 cudatoolkit=11.3 -c pytorch && conda clean -a -y
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RUN apt-get update && apt install fonts-dejavu-core rsync -y && apt-get clean
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RUN <<EOF
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git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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cd stable-diffusion-webui
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git reset --hard 15f333a266c20319e2b95a47a8834adf7b914aec
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pip install --prefer-binary --no-cache-dir -r requirements_versions.txt
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EOF
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ENV ROOT=/stable-diffusion-webui \
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WORKDIR=/stable-diffusion-webui/repositories/stable-diffusion
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COPY --from=download /git/ ${ROOT}
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RUN pip install --prefer-binary --no-cache-dir -r ${ROOT}/repositories/CodeFormer/requirements.txt
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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=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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git reset --hard ${SHA}
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pip install --prefer-binary --no-cache-dir -r requirements_versions.txt
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pip install --prefer-binary --no-cache-dir -r requirements.txt
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EOF
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RUN pip install --prefer-binary -U --no-cache-dir opencv-python-headless
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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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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 ${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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