Add Docker environment & web demo #67
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Hello again @xinntao :), Thank your for your previous feedback on the original PR, it has been updated accordingly. Also we are very happy that you have claimed the page, it already has +1100 runs. If you are happy to merge the PR then we can also feature your model on our homepage and more people can view and try it. Curious what you think. Thank you :) |
initpwn
approved these changes
Dec 14, 2021
No Dockerfile
As an Engineer who depends on Docker, I don't think this is it... Maybe rename the PR to something else? It's just misleading... It's only my 2c EditThis is a Dockerized solution #103 |
You can find the docker file under 'Run model with Docker' tab https://replicate.com/xinntao/gfpgan Cog is built on top of Docker. |
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@cjwbw I'm inspecting the contents of your image at
Docker image contents$ docker pull r8.im/xinntao/gfpgan@sha256:fec8c51c3017f1afbf8b0eed7f4ba51158e49b527b92aea91833aed32559e2ef
r8.im/xinntao/gfpgan@sha256:fec8c51c3017f1afbf8b0eed7f4ba51158e49b527b92aea91833aed32559e2ef: Pulling from xinntao/gfpgan
be8ec4e48d7f: Pull complete
33b8b485aff0: Pull complete
d887158cc58c: Pull complete
05895bb28c18: Pull complete
3d2964768f60: Pull complete
879de1f9d3b9: Pull complete
4e56b74a6bb6: Pull complete
b6074c21aee0: Downloading [===========> ] 337.9MB/1.501GB
ef6ce9582f59: Downloading [============> ] 318.4MB/1.232GB
ab542382d70b: Downloading [==========> ] 316.3MB/1.568GB
8e6b9d4be9a9: Waiting
930d70c29689: Waiting
879de1f9d3b9: Pull complete
4e56b74a6bb6: Pull complete
b6074c21aee0: Extracting [=================================> ] 1.008GB/1.501GB
ef6ce9582f59: Download complete
ab542382d70b: Download complete
8e6b9d4be9a9: Download complete
930d70c29689: Download complete
7f289d2e276d: Download complete
337893cc1f37: Download complete
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5771a13f4df1: Downloading [=====> ] 244.9MB/2.127GB
a2f81b718912: Download complete
5fa8dd99e2d2: Downloading [============================================> ] 77.28MB/86.89MB
5dcc5424fc83: Download complete
789491982219: Downloading [==> ] 19.97MB/335.6MBEditThis is the biggest Docker Image EVER: $ docker images | grep r8.im/xinntao/gfpgan
r8.im/xinntao/gfpgan <none> ff65bbeab0fe 4 months ago 15.3GB
$ docker history ff65bbeab0fe
IMAGE CREATED CREATED BY SIZE COMMENT
ff65bbeab0fe 4 months ago /bin/sh -c #(nop) LABEL org.cogmodel.type_s… 0B
<missing> 4 months ago COPY . /src # buildkit 367MB buildkit.dockerfile.v0
<missing> 4 months ago LABEL org.cogmodel.config={"build":{"gpu":tr… 0B buildkit.dockerfile.v0
<missing> 4 months ago LABEL org.cogmodel.cog_version=0.0.8 0B buildkit.dockerfile.v0
<missing> 4 months ago CMD ["python" "-m" "cog.server.http"] 0B buildkit.dockerfile.v0
<missing> 4 months ago WORKDIR /src 0B buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install realesrgan # buil… 186MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install facexlib==0.2.0.2… 384MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install -f https://downlo… 4.53GB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c apt-get update -qq && apt-get… 85.8MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install /tmp/cog-0.0.1.de… 9.27MB buildkit.dockerfile.v0
<missing> 4 months ago COPY .cog/tmp/cog-0.0.1.dev-py3-none-any.whl… 13.4kB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c curl https://pyenv.run | bash… 218MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c apt-get update -qq && apt-get… 164MB buildkit.dockerfile.v0
<missing> 4 months ago ENV PATH=/root/.pyenv/shims:/root/.pyenv/bin… 0B buildkit.dockerfile.v0
<missing> 4 months ago ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/u… 0B buildkit.dockerfile.v0
<missing> 4 months ago ENV PYTHONUNBUFFERED=1 0B buildkit.dockerfile.v0
<missing> 4 months ago ENV DEBIAN_FRONTEND=noninteractive 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get ins… 4.57GB buildkit.dockerfile.v0
<missing> 12 months ago LABEL com.nvidia.cudnn.version=8.0.5.39 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV CUDNN_VERSION=8.0.5.39 0B buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <cudatoo… 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get ins… 2.22GB buildkit.dockerfile.v0
<missing> 12 months ago ENV NCCL_VERSION=2.7.8 0B buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <cudatoo… 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get ins… 2.39GB buildkit.dockerfile.v0
<missing> 12 months ago ENV NCCL_VERSION=2.7.8 0B buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <cudatoo… 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV NVIDIA_REQUIRE_CUDA=cuda>=11.1 brand=tes… 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV NVIDIA_DRIVER_CAPABILITIES=compute,utili… 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV NVIDIA_VISIBLE_DEVICES=all 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/u… 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV PATH=/usr/local/nvidia/bin:/usr/local/cu… 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c echo "/usr/local/nvidia/lib" … 46B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get ins… 32.6MB buildkit.dockerfile.v0
<missing> 12 months ago ENV CUDA_VERSION=11.1.1 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get ins… 15.9MB buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <cudatoo… 0B buildkit.dockerfile.v0
<missing> 13 months ago /bin/sh -c #(nop) CMD ["/bin/bash"] 0B
<missing> 13 months ago /bin/sh -c mkdir -p /run/systemd && echo 'do… 7B
<missing> 13 months ago /bin/sh -c rm -rf /var/lib/apt/lists/* 0B
<missing> 13 months ago /bin/sh -c set -xe && echo '#!/bin/sh' > /… 745B
<missing> 13 months ago /bin/sh -c #(nop) ADD file:8eef54430e581236e… 131MBDockerfile needed$ docker history --human --no-trunc ff65bbeab0fe
IMAGE CREATED CREATED BY SIZE COMMENT
sha256:ff65bbeab0fed02f5726b07e3345cde94b2c9cc7832bb15e61936393c4f4f020 4 months ago /bin/sh -c #(nop) LABEL org.cogmodel.type_signature={"inputs":[{"name":"image","type":"Path","help":"input image"}]} 0B
<missing> 4 months ago COPY . /src # buildkit 367MB buildkit.dockerfile.v0
<missing> 4 months ago LABEL org.cogmodel.config={"build":{"gpu":true,"python_version":"3.8","python_packages":["torch==1.8.0","torchvision==0.9.0","numpy==1.21.1","ipython==7.21.0","lmdb==1.2.1","opencv-python==4.5.3.56","PyYAML==5.4.1","tqdm==4.62.2","yapf==0.31.0","tb-nightly==2.7.0a20210825"],"system_packages":["libgl1-mesa-glx","libglib2.0-0"],"pre_install":["pip install facexlib==0.2.0.2","pip install realesrgan"],"cuda":"11.1","cudnn":"8"},"predict":"predict.py:Predictor"} 0B buildkit.dockerfile.v0
<missing> 4 months ago LABEL org.cogmodel.cog_version=0.0.8 0B buildkit.dockerfile.v0
<missing> 4 months ago CMD ["python" "-m" "cog.server.http"] 0B buildkit.dockerfile.v0
<missing> 4 months ago WORKDIR /src 0B buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install realesrgan # buildkit 186MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install facexlib==0.2.0.2 # buildkit 384MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install -f https://download.pytorch.org/whl/torch_stable.html torch==1.8.0+cu111 torchvision==0.9.0+cu111 numpy==1.21.1 ipython==7.21.0 lmdb==1.2.1 opencv-python==4.5.3.56 PyYAML==5.4.1 tqdm==4.62.2 yapf==0.31.0 tb-nightly==2.7.0a20210825 # buildkit 4.53GB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c apt-get update -qq && apt-get install -qqy libgl1-mesa-glx libglib2.0-0 && rm -rf /var/lib/apt/lists/* # buildkit 85.8MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c pip install /tmp/cog-0.0.1.dev-py3-none-any.whl # buildkit 9.27MB buildkit.dockerfile.v0
<missing> 4 months ago COPY .cog/tmp/cog-0.0.1.dev-py3-none-any.whl /tmp/cog-0.0.1.dev-py3-none-any.whl # buildkit 13.4kB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c curl https://pyenv.run | bash && git clone https://github.com/momo-lab/pyenv-install-latest.git "$(pyenv root)"/plugins/pyenv-install-latest && pyenv install-latest "3.8" && pyenv global $(pyenv install-latest --print "3.8") # buildkit 218MB buildkit.dockerfile.v0
<missing> 4 months ago RUN /bin/sh -c apt-get update -qq && apt-get install -qqy --no-install-recommends make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev libncursesw5-dev xz-utils tk-dev libffi-dev liblzma-dev python-openssl git ca-certificates && rm -rf /var/lib/apt/lists/* # buildkit 164MB buildkit.dockerfile.v0
<missing> 4 months ago ENV PATH=/root/.pyenv/shims:/root/.pyenv/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0B buildkit.dockerfile.v0
<missing> 4 months ago ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/lib/x86_64-linux-gnu:/usr/local/nvidia/lib64:/usr/local/nvidia/bin 0B buildkit.dockerfile.v0
<missing> 4 months ago ENV PYTHONUNBUFFERED=1 0B buildkit.dockerfile.v0
<missing> 4 months ago ENV DEBIAN_FRONTEND=noninteractive 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libcudnn8=$CUDNN_VERSION-1+cuda11.1 libcudnn8-dev=$CUDNN_VERSION-1+cuda11.1 && apt-mark hold libcudnn8 && rm -rf /var/lib/apt/lists/* # buildkit 4.57GB buildkit.dockerfile.v0
<missing> 12 months ago LABEL com.nvidia.cudnn.version=8.0.5.39 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV CUDNN_VERSION=8.0.5.39 0B buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <[email protected]> 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-nvml-dev-11-1=11.1.74-1 cuda-command-line-tools-11-1=11.1.1-1 cuda-nvprof-11-1=11.1.105-1 libnpp-dev-11-1=11.1.2.301-1 cuda-libraries-dev-11-1=11.1.1-1 cuda-minimal-build-11-1=11.1.1-1 libnccl-dev=2.7.8-1+cuda11.1 libcublas-dev-11-1=11.3.0.106-1 libcusparse-11-1=11.3.0.10-1 libcusparse-dev-11-1=11.3.0.10-1 && apt-mark hold libnccl-dev && rm -rf /var/lib/apt/lists/* # buildkit 2.22GB buildkit.dockerfile.v0
<missing> 12 months ago ENV NCCL_VERSION=2.7.8 0B buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <[email protected]> 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-11-1=11.1.1-1 libnpp-11-1=11.1.2.301-1 cuda-nvtx-11-1=11.1.74-1 libcublas-11-1=11.3.0.106-1 libnccl2=$NCCL_VERSION-1+cuda11.1 && apt-mark hold libnccl2 && rm -rf /var/lib/apt/lists/* # buildkit 2.39GB buildkit.dockerfile.v0
<missing> 12 months ago ENV NCCL_VERSION=2.7.8 0B buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <[email protected]> 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV NVIDIA_REQUIRE_CUDA=cuda>=11.1 brand=tesla,driver>=418,driver<419 brand=tesla,driver>=440,driver<441 brand=tesla,driver>=450,driver<451 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV NVIDIA_VISIBLE_DEVICES=all 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 0B buildkit.dockerfile.v0
<missing> 12 months ago ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit 46B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-11-1=11.1.74-1 cuda-compat-11-1 && ln -s cuda-11.1 /usr/local/cuda && rm -rf /var/lib/apt/lists/* # buildkit 32.6MB buildkit.dockerfile.v0
<missing> 12 months ago ENV CUDA_VERSION=11.1.1 0B buildkit.dockerfile.v0
<missing> 12 months ago RUN /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && apt-get purge --auto-remove -y gnupg-curl && rm -rf /var/lib/apt/lists/* # buildkit 15.9MB buildkit.dockerfile.v0
<missing> 12 months ago LABEL maintainer=NVIDIA CORPORATION <[email protected]> 0B buildkit.dockerfile.v0
<missing> 13 months ago /bin/sh -c #(nop) CMD ["/bin/bash"] 0B
<missing> 13 months ago /bin/sh -c mkdir -p /run/systemd && echo 'docker' > /run/systemd/container 7B
<missing> 13 months ago /bin/sh -c rm -rf /var/lib/apt/lists/* 0B
<missing> 13 months ago /bin/sh -c set -xe && echo '#!/bin/sh' > /usr/sbin/policy-rc.d && echo 'exit 101' >> /usr/sbin/policy-rc.d && chmod +x /usr/sbin/policy-rc.d && dpkg-divert --local --rename --add /sbin/initctl && cp -a /usr/sbin/policy-rc.d /sbin/initctl && sed -i 's/^exit.*/exit 0/' /sbin/initctl && echo 'force-unsafe-io' > /etc/dpkg/dpkg.cfg.d/docker-apt-speedup && echo 'DPkg::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' > /etc/apt/apt.conf.d/docker-clean && echo 'APT::Update::Post-Invoke { "rm -f /var/cache/apt/archives/*.deb /var/cache/apt/archives/partial/*.deb /var/cache/apt/*.bin || true"; };' >> /etc/apt/apt.conf.d/docker-clean && echo 'Dir::Cache::pkgcache ""; Dir::Cache::srcpkgcache "";' >> /etc/apt/apt.conf.d/docker-clean && echo 'Acquire::Languages "none";' > /etc/apt/apt.conf.d/docker-no-languages && echo 'Acquire::GzipIndexes "true"; Acquire::CompressionTypes::Order:: "gz";' > /etc/apt/apt.conf.d/docker-gzip-indexes && echo 'Apt::AutoRemove::SuggestsImportant "false";' > /etc/apt/apt.conf.d/docker-autoremove-suggests 745B
<missing> 13 months ago /bin/sh -c #(nop) ADD file:8eef54430e581236e6d529a7d09df648f43c840e889d9ae132e5ed25d7bd2b88 in / 131MB |
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@chenxwh May I know how can I update the demo in https://replicate.com/tencentarc/gfpgan? |
Hi @xinntao, Sure! With Sometimes it may be easier to pull the docker image already up for the demo and only make corresponding changes in More documentation about Cog can be found here. Let me know if you need further clarification :) |
Hi @chenxwh I have updated the replicate ai demo: |
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Hi @xinntao, Andreas from Replicate here. Really great work with GFPGAN, it's such a cool model! I've featured it on the home page. If you'd like to chat in real-time, the Replicate Discord server is here: https://discord.gg/replicate. Would love to have you in our community! |
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Why are there only v1.2 and v1.3 on Replciate? It would be helpful to try v1 too. Is it possible to add? |
humayun
pushed a commit
to PhotoDay/GFPGAN
that referenced
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Sep 6, 2024
* enable cog * Update README.md * Update README.md * refactor * fix temp input dir bug Co-authored-by: CJWBW <[email protected]> Co-authored-by: Chenxi <[email protected]> Co-authored-by: Xintao <[email protected]>
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Hey @xinntao ! 👋
Appreciated your feedback on the previous PR. It has been modified accordingly in this PR.
This pull request makes it possible to run your model inside a Docker environment, which makes it easier for other people to run it. We're using an open source tool called Cog to make this process easier.
This also means we can make a web page where other people can try out your model! View it here: https://replicate.ai/xinntao/gfpgan
(We noticed that you have a demo on Gradio, but some of the example images, e.g. 10045.png, would show error there).
Claim your page here so you can edit it, and we'll feature it on our website and tweet about it too.
In case you're wondering who I am, I'm from Replicate, where we're trying to make machine learning reproducible. We got frustrated that we couldn't run all the really interesting ML work being done. So, we're going round implementing models we like. 😊