docker build diffusers

Sending build context to Docker daemon  12.87MB
Step 1/82 : FROM pytorch/pytorch:1.12.1-cuda11.3-cudnn8-runtime as base
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Step 2/82 : ARG http_proxy
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Step 3/82 : ENV http_proxy=${http_proxy}
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Step 4/82 : ARG https_proxy
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Step 5/82 : ENV https_proxy=${https_proxy}
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Step 6/82 : RUN if [ -n "$http_proxy" ] ; then     echo quit     | openssl s_client -proxy $(echo ${https_proxy} | cut -b 8-) -servername google.com -connect google.com:443 -showcerts     | sed 'H;1h;$!d;x; s/^.*\(-----BEGIN CERTIFICATE-----.*-----END CERTIFICATE-----\)\n---\nServer certificate.*$/\1/'     > /usr/local/share/ca-certificates/squid-self-signed.crt ;     update-ca-certificates ;   fi
 ---> Using cache
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Step 7/82 : ENV REQUESTS_CA_BUNDLE=${http_proxy:+/usr/local/share/ca-certificates/squid-self-signed.crt}
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Step 8/82 : ENV DEBIAN_FRONTEND=noninteractive
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Step 9/82 : RUN apt-get update && apt-get install -yqq git
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Step 10/82 : FROM base AS patchmatch
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Step 11/82 : ARG USE_PATCHMATCH=0
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Step 12/82 : WORKDIR /tmp
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Step 13/82 : COPY scripts/patchmatch-setup.sh .
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Step 14/82 : RUN sh patchmatch-setup.sh
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Step 15/82 : FROM base as output
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Step 16/82 : RUN mkdir /api
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Step 17/82 : WORKDIR /api
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Step 18/82 : RUN conda update -n base -c defaults conda
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Step 19/82 : RUN conda create -n xformers python=3.10
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Step 20/82 : SHELL ["/opt/conda/bin/conda", "run", "--no-capture-output", "-n", "xformers", "/bin/bash", "-c"]
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Step 21/82 : RUN python --version
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Step 22/82 : RUN conda install -c pytorch -c conda-forge cudatoolkit=11.6 pytorch=1.12.1
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Step 23/82 : RUN conda install xformers -c xformers/label/dev
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Step 24/82 : RUN https_proxy="" REQUESTS_CA_BUNDLE="" conda install pip
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Step 25/82 : ADD requirements.txt requirements.txt
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Step 26/82 : RUN pip install -r requirements.txt
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Step 27/82 : RUN git clone https://github.com/huggingface/diffusers
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Step 28/82 : WORKDIR /api/diffusers
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Step 29/82 : RUN git checkout v0.9.0
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Step 30/82 : WORKDIR /api
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Step 31/82 : RUN pip install -e diffusers
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Step 32/82 : ADD server.py .
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Step 33/82 : EXPOSE 8000
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Step 34/82 : ARG HF_AUTH_TOKEN
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Step 35/82 : ENV HF_AUTH_TOKEN=${HF_AUTH_TOKEN}
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Step 36/82 : ARG MODEL_ID="stabilityai/stable-diffusion-2"
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Step 37/82 : ENV MODEL_ID=${MODEL_ID}
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Step 38/82 : ARG PRECISION="fp16"
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Step 39/82 : ENV PRECISION=${PRECISION}
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Step 40/82 : ADD precision.py .
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Step 41/82 : ARG PIPELINE="ALL"
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Step 42/82 : ENV PIPELINE=${PIPELINE}
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Step 43/82 : ARG USE_DREAMBOOTH=0
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Step 44/82 : ENV USE_DREAMBOOTH=${USE_DREAMBOOTH}
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Step 45/82 : ARG AWS_ACCESS_KEY_ID
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Step 46/82 : ARG AWS_SECRET_ACCESS_KEY
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Step 47/82 : ARG AWS_DEFAULT_REGION
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Step 48/82 : ARG AWS_S3_ENDPOINT_URL
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Step 49/82 : ENV AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
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Step 50/82 : ENV AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
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Step 51/82 : ENV AWS_DEFAULT_REGION=${AWS_DEFAULT_REGION}
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Step 52/82 : ENV AWS_S3_ENDPOINT_URL=${AWS_S3_ENDPOINT_URL}
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Step 53/82 : COPY utils utils
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Step 54/82 : ARG MODEL_URL=""
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Step 55/82 : ENV MODEL_URL=${MODEL_URL}
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Step 56/82 : ARG CHECKPOINT_URL=""
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Step 57/82 : ENV CHECKPOINT_URL=${CHECKPOINT_URL}
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Step 58/82 : ARG CHECKPOINT_CONFIG_URL=""
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Step 59/82 : ENV CHECKPOINT_CONFIG_URL=${CHECKPOINT_CONFIG_URL}
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Step 60/82 : ADD download-checkpoint.py .
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Step 61/82 : RUN python3 download-checkpoint.py
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Step 62/82 : ARG _CONVERT_SPECIAL
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Step 63/82 : ENV _CONVERT_SPECIAL=${_CONVERT_SPECIAL}
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Step 64/82 : ADD convert-to-diffusers.py .
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Step 65/82 : RUN python3 convert-to-diffusers.py
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Step 66/82 : ADD getScheduler.py .
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Step 67/82 : ADD loadModel.py .
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Step 68/82 : ADD download.py .
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Step 69/82 : RUN python3 download.py
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Downloading model: runwayml/stable-diffusion-v1-5
Initializing DPMSolverMultistepScheduler for runwayml/stable-diffusion-v1-5...
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Downloading:   0%|          | 0.00/543 [00:00<?, ?B/s]Initialized DPMSolverMultistepScheduler for runwayml/stable-diffusion-v1-5 in 561ms
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Fetching 15 files: 100%|██████████| 15/15 [00:35<00:00,  2.36s/it]
/api/diffusers/src/diffusers/models/attention.py:433: UserWarning: Could not enable memory efficient attention. Make sure xformers is installed correctly and a GPU is available: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU
  warnings.warn(
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Step 70/82 : ARG USE_PATCHMATCH=0
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Step 71/82 : RUN if [ "$USE_PATCHMATCH" = "1" ] ; then apt-get install -yqq python3-opencv ; fi
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Step 72/82 : COPY --from=patchmatch /tmp/PyPatchMatch PyPatchMatch
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Step 73/82 : RUN if [ "$USE_DREAMBOOTH" = "1" ] ; then     pip install -r diffusers/examples/dreambooth/requirements.txt bitsandbytes torch==1.12.1 ;   fi
 ---> Running in 99efc11f4b8a
Collecting bitsandbytes
  Downloading bitsandbytes-0.35.4-py3-none-any.whl (62.5 MB)
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Requirement already satisfied: torch==1.12.1 in /opt/conda/envs/xformers/lib/python3.10/site-packages (1.12.1)
Requirement already satisfied: diffusers>==0.5.0 in /opt/conda/envs/xformers/lib/python3.10/site-packages (from -r diffusers/examples/dreambooth/requirements.txt (line 1)) (0.9.0)
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Collecting torchvision
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Collecting modelcards
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Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/xformers/lib/python3.10/site-packages (from requests->diffusers>==0.5.0->-r diffusers/examples/dreambooth/requirements.txt (line 1)) (2.1.1)
Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/xformers/lib/python3.10/site-packages (from requests->diffusers>==0.5.0->-r diffusers/examples/dreambooth/requirements.txt (line 1)) (3.4)
Requirement already satisfied: MarkupSafe>=2.1.1 in /opt/conda/envs/xformers/lib/python3.10/site-packages (from werkzeug>=1.0.1->tensorboard->-r diffusers/examples/dreambooth/requirements.txt (line 6)) (2.1.1)
Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/xformers/lib/python3.10/site-packages (from importlib-metadata->diffusers>==0.5.0->-r diffusers/examples/dreambooth/requirements.txt (line 1)) (3.11.0)
Collecting pyasn1<0.5.0,>=0.4.6
  Downloading pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
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Collecting oauthlib>=3.0.0
  Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)
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Installing collected packages: tensorboard-plugin-wit, pyasn1, bitsandbytes, werkzeug, tensorboard-data-server, rsa, pyasn1-modules, protobuf, oauthlib, markdown, grpcio, cachetools, absl-py, torchvision, requests-oauthlib, google-auth, modelcards, google-auth-oauthlib, tensorboard
Successfully installed absl-py-1.3.0 bitsandbytes-0.35.4 cachetools-5.2.0 google-auth-2.15.0 google-auth-oauthlib-0.4.6 grpcio-1.51.1 markdown-3.4.1 modelcards-0.1.6 oauthlib-3.2.2 protobuf-3.20.3 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-oauthlib-1.3.1 rsa-4.9 tensorboard-2.11.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.1 torchvision-0.13.1 werkzeug-2.2.2
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
Removing intermediate container 99efc11f4b8a
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Step 74/82 : RUN if [ "$USE_DREAMBOOTH" = "1" ] ; then apt-get install git-lfs ; fi
 ---> Running in 71101bc0c8ba
Reading package lists...
Building dependency tree...
Reading state information...
The following NEW packages will be installed:
  git-lfs
0 upgraded, 1 newly installed, 0 to remove and 12 not upgraded.
Need to get 2129 kB of archives.
After this operation, 7662 kB of additional disk space will be used.
Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 git-lfs amd64 2.3.4-1 [2129 kB]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 2129 kB in 1s (1624 kB/s)
Selecting previously unselected package git-lfs.
(Reading database ... 9375 files and directories currently installed.)
Preparing to unpack .../git-lfs_2.3.4-1_amd64.deb ...
Unpacking git-lfs (2.3.4-1) ...
Setting up git-lfs (2.3.4-1) ...
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Step 75/82 : ADD train_dreambooth.py .
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Step 76/82 : ADD send.py .
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Step 77/82 : ADD app.py .
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Step 78/82 : ARG SEND_URL
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Step 79/82 : ENV SEND_URL=${SEND_URL}
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Step 80/82 : ARG SIGN_KEY
 ---> Running in 3f0848513eb3
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Step 81/82 : ENV SIGN_KEY=${SIGN_KEY}
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Removing intermediate container 5b96e07eb8f4
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Step 82/82 : CMD python3 -u server.py
 ---> Running in bec75806603d
Removing intermediate container bec75806603d
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[Warning] One or more build-args [AWS_S3_DEFAULT_BUCKET] were not consumed
Successfully built dcdd1f402ba7
Successfully tagged diffusers-api:latest