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Has this issue been opened before?
Describe the bug
Container bulded but exit with error
~/stable-diffusion-webui-docker-master$ docker compose --profile auto up --build [+] Building 1.5s (25/25) FINISHED docker:default => [auto internal] load .dockerignore 0.0s => => transferring context: 2B 0.0s => [auto internal] load build definition from Dockerfile 0.0s => => transferring dockerfile: 2.96kB 0.0s => [auto internal] load metadata for docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime 1.2s => [auto internal] load metadata for docker.io/alpine/git:2.36.2 1.2s => [auto download 1/9] FROM docker.io/alpine/git:2.36.2@sha256:ec491c893597b68c92b88023827faa771772cfd5e106b76c713fa5e1c75dea84 0.0s => [auto internal] load build context 0.0s => => transferring context: 5.53kB 0.0s => [auto stage-1 1/11] FROM docker.io/pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime@sha256:0279f7aa29974bf64e61d0ff6e979b41a249b3662a46e30778dbf80b8c99c361 0.0s => CACHED [auto stage-1 2/11] RUN --mount=type=cache,target=/var/cache/apt apt-get update && apt-get install -y fonts-dejavu-core rsync git jq moreutils aria2 ffmpeg libglfw3-dev libgles2-mesa-dev pkg-config libcairo2 libca 0.0s => CACHED [auto stage-1 3/11] RUN --mount=type=cache,target=/root/.cache/pip git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && cd stable-diffusion-webui && git reset --hard v1.9.4 && pip install -r 0.0s => CACHED [auto download 2/9] COPY clone.sh /clone.sh 0.0s => CACHED [auto download 3/9] RUN . /clone.sh stable-diffusion-webui-assets https://github.com/AUTOMATIC1111/stable-diffusion-webui-assets.git 6f7db241d2f8ba7457bac5ca9753331f0c266917 0.0s => CACHED [auto download 4/9] RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git cf1d67a6fd5ea1aa600c4df58e5b47da45f6bdbf && rm -rf assets data/**/*.png data/**/*.jpg data/**/*.gif 0.0s => CACHED [auto download 5/9] RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 0.0s => CACHED [auto download 6/9] RUN . /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusion.git ab527a9a6d347f364e3d185ba6d714e22d80cb3c 0.0s => CACHED [auto download 7/9] RUN . /clone.sh clip-interrogator https://github.com/pharmapsychotic/clip-interrogator 2cf03aaf6e704197fd0dae7c7f96aa59cf1b11c9 0.0s => CACHED [auto download 8/9] RUN . /clone.sh generative-models https://github.com/Stability-AI/generative-models 45c443b316737a4ab6e40413d7794a7f5657c19f 0.0s => CACHED [auto download 9/9] RUN . /clone.sh stable-diffusion-webui-assets https://github.com/AUTOMATIC1111/stable-diffusion-webui-assets 6f7db241d2f8ba7457bac5ca9753331f0c266917 0.0s => CACHED [auto stage-1 4/11] COPY --from=download /repositories/ /stable-diffusion-webui/repositories/ 0.0s => CACHED [auto stage-1 5/11] RUN mkdir /stable-diffusion-webui/interrogate && cp /stable-diffusion-webui/repositories/clip-interrogator/clip_interrogator/data/* /stable-diffusion-webui/interrogate 0.0s => CACHED [auto stage-1 6/11] RUN --mount=type=cache,target=/root/.cache/pip pip install pyngrok xformers==0.0.26.post1 git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379 git+https://githu 0.0s => CACHED [auto stage-1 7/11] RUN apt-get -y install libgoogle-perftools-dev && apt-get clean 0.0s => [auto stage-1 8/11] COPY . /docker 0.0s => [auto stage-1 9/11] RUN sed -i 's/in_app_dir = .*/in_app_dir = True/g' /opt/conda/lib/python3.10/site-packages/gradio/routes.py && git config --global --add safe.directory '*' 0.2s => [auto stage-1 10/11] WORKDIR /stable-diffusion-webui 0.0s => [auto] exporting to image 0.0s => => exporting layers 0.0s => => writing image sha256:1daa03f07d852b5ed14f6e131023cd84f1c6e213ed199a6f2d517848a29390ed 0.0s => => naming to docker.io/library/sd-auto:78 0.0s [+] Running 1/1 ✔ Container webui-docker-auto-1 Recreated 0.0s Attaching to webui-docker-auto-1 Error response from daemon: could not select device driver "nvidia" with capabilities: [[compute utility]]
Hardware / Software
Steps to Reproduce
The text was updated successfully, but these errors were encountered:
Do you have nvidia-container-toolkit installed properly so Docker allows to use you GPU?
Simplest test is to run benchmark described here: https://docs.docker.com/desktop/gpu/
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Has this issue been opened before?
Describe the bug
Container bulded but exit with error
Hardware / Software
Steps to Reproduce
The text was updated successfully, but these errors were encountered: