diff --git a/.github/workflows/typegen-checks.yml b/.github/workflows/typegen-checks.yml index d706559dbc1..865718a2b08 100644 --- a/.github/workflows/typegen-checks.yml +++ b/.github/workflows/typegen-checks.yml @@ -39,6 +39,18 @@ jobs: - name: checkout uses: actions/checkout@v4 + - name: Free up more disk space on the runner + # https://github.com/actions/runner-images/issues/2840#issuecomment-1284059930 + run: | + echo "----- Free space before cleanup" + df -h + sudo rm -rf /usr/share/dotnet + sudo rm -rf "$AGENT_TOOLSDIRECTORY" + sudo swapoff /mnt/swapfile + sudo rm -rf /mnt/swapfile + echo "----- Free space after cleanup" + df -h + - name: check for changed files if: ${{ inputs.always_run != true }} id: changed-files diff --git a/docker/.env.sample b/docker/.env.sample index eef690a8086..7b10af936e1 100644 --- a/docker/.env.sample +++ b/docker/.env.sample @@ -22,6 +22,10 @@ ## GPU_DRIVER can be set to either `cuda` or `rocm` to enable GPU support in the container accordingly. # GPU_DRIVER=cuda #| rocm +## If you are using ROCM, you will need to ensure that the render group within the container and the host system use the same group ID. +## To obtain the group ID of the render group on the host system, run `getent group render` and grab the number. +# RENDER_GROUP_ID= + ## CONTAINER_UID can be set to the UID of the user on the host system that should own the files in the container. ## It is usually not necessary to change this. Use `id -u` on the host system to find the UID. # CONTAINER_UID=1000 diff --git a/docker/Dockerfile b/docker/Dockerfile index e6f952b4321..b1b709d54df 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -43,7 +43,6 @@ ENV \ UV_MANAGED_PYTHON=1 \ UV_LINK_MODE=copy \ UV_PROJECT_ENVIRONMENT=/opt/venv \ - UV_INDEX="https://download.pytorch.org/whl/cu124" \ INVOKEAI_ROOT=/invokeai \ INVOKEAI_HOST=0.0.0.0 \ INVOKEAI_PORT=9090 \ @@ -74,19 +73,17 @@ RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=uv.lock,target=uv.lock \ # this is just to get the package manager to recognize that the project exists, without making changes to the docker layer --mount=type=bind,source=invokeai/version,target=invokeai/version \ - if [ "$TARGETPLATFORM" = "linux/arm64" ] || [ "$GPU_DRIVER" = "cpu" ]; then UV_INDEX="https://download.pytorch.org/whl/cpu"; \ - elif [ "$GPU_DRIVER" = "rocm" ]; then UV_INDEX="https://download.pytorch.org/whl/rocm6.2"; \ - fi && \ - uv sync --frozen - -# build patchmatch -RUN cd /usr/lib/$(uname -p)-linux-gnu/pkgconfig/ && ln -sf opencv4.pc opencv.pc -RUN python -c "from patchmatch import patch_match" + ulimit -n 30000 && \ + uv sync --extra $GPU_DRIVER --frozen # Link amdgpu.ids for ROCm builds # contributed by https://github.com/Rubonnek RUN mkdir -p "/opt/amdgpu/share/libdrm" &&\ - ln -s "/usr/share/libdrm/amdgpu.ids" "/opt/amdgpu/share/libdrm/amdgpu.ids" + ln -s "/usr/share/libdrm/amdgpu.ids" "/opt/amdgpu/share/libdrm/amdgpu.ids" && groupadd render + +# build patchmatch +RUN cd /usr/lib/$(uname -p)-linux-gnu/pkgconfig/ && ln -sf opencv4.pc opencv.pc +RUN python -c "from patchmatch import patch_match" RUN mkdir -p ${INVOKEAI_ROOT} && chown -R ${CONTAINER_UID}:${CONTAINER_GID} ${INVOKEAI_ROOT} @@ -105,8 +102,6 @@ COPY invokeai ${INVOKEAI_SRC}/invokeai RUN --mount=type=cache,target=/root/.cache/uv \ --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ --mount=type=bind,source=uv.lock,target=uv.lock \ - if [ "$TARGETPLATFORM" = "linux/arm64" ] || [ "$GPU_DRIVER" = "cpu" ]; then UV_INDEX="https://download.pytorch.org/whl/cpu"; \ - elif [ "$GPU_DRIVER" = "rocm" ]; then UV_INDEX="https://download.pytorch.org/whl/rocm6.2"; \ - fi && \ - uv pip install -e . + ulimit -n 30000 && \ + uv pip install -e .[$GPU_DRIVER] diff --git a/docker/Dockerfile-rocm-full b/docker/Dockerfile-rocm-full new file mode 100644 index 00000000000..087864b3f2f --- /dev/null +++ b/docker/Dockerfile-rocm-full @@ -0,0 +1,136 @@ +# syntax=docker/dockerfile:1.4 + +#### Web UI ------------------------------------ + +FROM docker.io/node:22-slim AS web-builder +ENV PNPM_HOME="/pnpm" +ENV PATH="$PNPM_HOME:$PATH" +RUN corepack use pnpm@8.x +RUN corepack enable + +WORKDIR /build +COPY invokeai/frontend/web/ ./ +RUN --mount=type=cache,target=/pnpm/store \ + pnpm install --frozen-lockfile +RUN npx vite build + +## Backend --------------------------------------- + +FROM library/ubuntu:24.04 + +ARG DEBIAN_FRONTEND=noninteractive +RUN rm -f /etc/apt/apt.conf.d/docker-clean; echo 'Binary::apt::APT::Keep-Downloaded-Packages "true";' > /etc/apt/apt.conf.d/keep-cache +RUN --mount=type=cache,target=/var/cache/apt \ + --mount=type=cache,target=/var/lib/apt \ + apt update && apt install -y --no-install-recommends \ + ca-certificates \ + git \ + gosu \ + libglib2.0-0 \ + libgl1 \ + libglx-mesa0 \ + build-essential \ + libopencv-dev \ + libstdc++-10-dev \ + wget + +ENV \ + PYTHONUNBUFFERED=1 \ + PYTHONDONTWRITEBYTECODE=1 \ + VIRTUAL_ENV=/opt/venv \ + INVOKEAI_SRC=/opt/invokeai \ + PYTHON_VERSION=3.12 \ + UV_PYTHON=3.12 \ + UV_COMPILE_BYTECODE=1 \ + UV_MANAGED_PYTHON=1 \ + UV_LINK_MODE=copy \ + UV_PROJECT_ENVIRONMENT=/opt/venv \ + INVOKEAI_ROOT=/invokeai \ + INVOKEAI_HOST=0.0.0.0 \ + INVOKEAI_PORT=9090 \ + PATH="/opt/venv/bin:$PATH" \ + CONTAINER_UID=${CONTAINER_UID:-1000} \ + CONTAINER_GID=${CONTAINER_GID:-1000} + +ARG GPU_DRIVER=cuda + +# Install `uv` for package management +COPY --from=ghcr.io/astral-sh/uv:0.6.9 /uv /uvx /bin/ + +# Install python & allow non-root user to use it by traversing the /root dir without read permissions +RUN --mount=type=cache,target=/root/.cache/uv \ + uv python install ${PYTHON_VERSION} && \ + # chmod --recursive a+rX /root/.local/share/uv/python + chmod 711 /root + +WORKDIR ${INVOKEAI_SRC} + +# Install project's dependencies as a separate layer so they aren't rebuilt every commit. +# bind-mount instead of copy to defer adding sources to the image until next layer. +# +# NOTE: there are no pytorch builds for arm64 + cuda, only cpu +# x86_64/CUDA is the default +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + # this is just to get the package manager to recognize that the project exists, without making changes to the docker layer + --mount=type=bind,source=invokeai/version,target=invokeai/version \ + ulimit -n 30000 && \ + uv sync --extra $GPU_DRIVER --frozen + +RUN --mount=type=cache,target=/var/cache/apt \ + --mount=type=cache,target=/var/lib/apt \ + if [ "$GPU_DRIVER" = "rocm" ]; then \ + wget -O /tmp/amdgpu-install.deb \ + https://repo.radeon.com/amdgpu-install/6.3.4/ubuntu/noble/amdgpu-install_6.3.60304-1_all.deb && \ + apt install -y /tmp/amdgpu-install.deb && \ + apt update && \ + amdgpu-install --usecase=rocm -y && \ + apt-get autoclean && \ + apt clean && \ + rm -rf /tmp/* /var/tmp/* && \ + usermod -a -G render ubuntu && \ + usermod -a -G video ubuntu && \ + echo "\\n/opt/rocm/lib\\n/opt/rocm/lib64" >> /etc/ld.so.conf.d/rocm.conf && \ + ldconfig && \ + update-alternatives --auto rocm; \ + fi + +## Heathen711: Leaving this for review input, will remove before merge +# RUN --mount=type=cache,target=/var/cache/apt \ +# --mount=type=cache,target=/var/lib/apt \ +# if [ "$GPU_DRIVER" = "rocm" ]; then \ +# groupadd render && \ +# usermod -a -G render ubuntu && \ +# usermod -a -G video ubuntu; \ +# fi + +## Link amdgpu.ids for ROCm builds +## contributed by https://github.com/Rubonnek +# RUN mkdir -p "/opt/amdgpu/share/libdrm" &&\ +# ln -s "/usr/share/libdrm/amdgpu.ids" "/opt/amdgpu/share/libdrm/amdgpu.ids" + +# build patchmatch +RUN cd /usr/lib/$(uname -p)-linux-gnu/pkgconfig/ && ln -sf opencv4.pc opencv.pc +RUN python -c "from patchmatch import patch_match" + +RUN mkdir -p ${INVOKEAI_ROOT} && chown -R ${CONTAINER_UID}:${CONTAINER_GID} ${INVOKEAI_ROOT} + +COPY docker/docker-entrypoint.sh ./ +ENTRYPOINT ["/opt/invokeai/docker-entrypoint.sh"] +CMD ["invokeai-web"] + +# --link requires buldkit w/ dockerfile syntax 1.4, does not work with podman +COPY --link --from=web-builder /build/dist ${INVOKEAI_SRC}/invokeai/frontend/web/dist + +# add sources last to minimize image changes on code changes +COPY invokeai ${INVOKEAI_SRC}/invokeai + +# this should not increase image size because we've already installed dependencies +# in a previous layer +RUN --mount=type=cache,target=/root/.cache/uv \ + --mount=type=bind,source=pyproject.toml,target=pyproject.toml \ + --mount=type=bind,source=uv.lock,target=uv.lock \ + ulimit -n 30000 && \ + uv pip install -e .[$GPU_DRIVER] + diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml index 0c2b6fbd789..2e5bc91f260 100644 --- a/docker/docker-compose.yml +++ b/docker/docker-compose.yml @@ -47,8 +47,9 @@ services: invokeai-rocm: <<: *invokeai - devices: - - /dev/kfd:/dev/kfd - - /dev/dri:/dev/dri + environment: + - AMD_VISIBLE_DEVICES=all + - RENDER_GROUP_ID=${RENDER_GROUP_ID} + runtime: amd profiles: - rocm diff --git a/docker/docker-entrypoint.sh b/docker/docker-entrypoint.sh index ac233276de3..12f24a93527 100755 --- a/docker/docker-entrypoint.sh +++ b/docker/docker-entrypoint.sh @@ -21,6 +21,17 @@ _=$(id ${USER} 2>&1) || useradd -u ${USER_ID} ${USER} # ensure the UID is correct usermod -u ${USER_ID} ${USER} 1>/dev/null +## ROCM specific configuration +# render group within the container must match the host render group +# otherwise the container will not be able to access the host GPU. +if [[ -v "RENDER_GROUP_ID" ]] && [[ ! -z "${RENDER_GROUP_ID}" ]]; then + # ensure the render group exists + groupmod -g ${RENDER_GROUP_ID} render + usermod -a -G render ${USER} + usermod -a -G video ${USER} +fi + + ### Set the $PUBLIC_KEY env var to enable SSH access. # We do not install openssh-server in the image by default to avoid bloat. # but it is useful to have the full SSH server e.g. on Runpod. diff --git a/docker/run.sh b/docker/run.sh index 1040e865bf1..272d4e44a5c 100755 --- a/docker/run.sh +++ b/docker/run.sh @@ -13,7 +13,7 @@ run() { # parse .env file for build args build_args=$(awk '$1 ~ /=[^$]/ && $0 !~ /^#/ {print "--build-arg " $0 " "}' .env) && - profile="$(awk -F '=' '/GPU_DRIVER/ {print $2}' .env)" + profile="$(awk -F '=' '/GPU_DRIVER=/ {print $2}' .env)" # default to 'cuda' profile [[ -z "$profile" ]] && profile="cuda" @@ -30,7 +30,7 @@ run() { printf "%s\n" "starting service $service_name" docker compose --profile "$profile" up -d "$service_name" - docker compose logs -f + docker compose --profile "$profile" logs -f } run diff --git a/docs/installation/manual.md b/docs/installation/manual.md index d942932754d..205e4927492 100644 --- a/docs/installation/manual.md +++ b/docs/installation/manual.md @@ -69,34 +69,34 @@ The following commands vary depending on the version of Invoke being installed a - If you have an Nvidia 20xx series GPU or older, use `invokeai[xformers]`. - If you have an Nvidia 30xx series GPU or newer, or do not have an Nvidia GPU, use `invokeai`. -7. Determine the `PyPI` index URL to use for installation, if any. This is necessary to get the right version of torch installed. +7. Determine the torch backend to use for installation, if any. This is necessary to get the right version of torch installed. This is acheived by using [UV's built in torch support.](https://docs.astral.sh/uv/guides/integration/pytorch/#automatic-backend-selection) === "Invoke v5.12 and later" - - If you are on Windows or Linux with an Nvidia GPU, use `https://download.pytorch.org/whl/cu128`. - - If you are on Linux with no GPU, use `https://download.pytorch.org/whl/cpu`. - - If you are on Linux with an AMD GPU, use `https://download.pytorch.org/whl/rocm6.2.4`. - - **In all other cases, do not use an index.** + - If you are on Windows or Linux with an Nvidia GPU, use `--torch-backend=cu128`. + - If you are on Linux with no GPU, use `--torch-backend=cpu`. + - If you are on Linux with an AMD GPU, use `--torch-backend=rocm6.3`. + - **In all other cases, do not use a torch backend.** === "Invoke v5.10.0 to v5.11.0" - - If you are on Windows or Linux with an Nvidia GPU, use `https://download.pytorch.org/whl/cu126`. - - If you are on Linux with no GPU, use `https://download.pytorch.org/whl/cpu`. - - If you are on Linux with an AMD GPU, use `https://download.pytorch.org/whl/rocm6.2.4`. + - If you are on Windows or Linux with an Nvidia GPU, use `--torch-backend=cu126`. + - If you are on Linux with no GPU, use `--torch-backend=cpu`. + - If you are on Linux with an AMD GPU, use `--torch-backend=rocm6.2.4`. - **In all other cases, do not use an index.** === "Invoke v5.0.0 to v5.9.1" - - If you are on Windows with an Nvidia GPU, use `https://download.pytorch.org/whl/cu124`. - - If you are on Linux with no GPU, use `https://download.pytorch.org/whl/cpu`. - - If you are on Linux with an AMD GPU, use `https://download.pytorch.org/whl/rocm6.1`. + - If you are on Windows with an Nvidia GPU, use `--torch-backend=cu124`. + - If you are on Linux with no GPU, use `--torch-backend=cpu`. + - If you are on Linux with an AMD GPU, use `--torch-backend=rocm6.1`. - **In all other cases, do not use an index.** === "Invoke v4" - - If you are on Windows with an Nvidia GPU, use `https://download.pytorch.org/whl/cu124`. - - If you are on Linux with no GPU, use `https://download.pytorch.org/whl/cpu`. - - If you are on Linux with an AMD GPU, use `https://download.pytorch.org/whl/rocm5.2`. + - If you are on Windows with an Nvidia GPU, use `--torch-backend=cu124`. + - If you are on Linux with no GPU, use `--torch-backend=cpu`. + - If you are on Linux with an AMD GPU, use `--torch-backend=rocm5.2`. - **In all other cases, do not use an index.** 8. Install the `invokeai` package. Substitute the package specifier and version. @@ -105,10 +105,10 @@ The following commands vary depending on the version of Invoke being installed a uv pip install == --python 3.12 --python-preference only-managed --force-reinstall ``` - If you determined you needed to use a `PyPI` index URL in the previous step, you'll need to add `--index=` like this: + If you determined you needed to use a torch backend in the previous step, you'll need to set the backend like this: ```sh - uv pip install == --python 3.12 --python-preference only-managed --index= --force-reinstall + uv pip install == --python 3.12 --python-preference only-managed --torch-backend= --force-reinstall ``` 9. Deactivate and reactivate your venv so that the invokeai-specific commands become available in the environment: diff --git a/pyproject.toml b/pyproject.toml index 8e2d827763d..d16d86106ee 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -73,7 +73,7 @@ dependencies = [ "pypatchmatch", "python-multipart", "requests", - "semver~=3.0.1" + "semver~=3.0.1", ] [project.optional-dependencies] @@ -83,6 +83,14 @@ dependencies = [ # torch 2.4+cu carries its own triton dependency ] +"cpu" = ["torch==2.7.1+cpu", "torchvision==0.22.1+cpu"] +"cuda" = ["torch==2.7.1+cu128", "torchvision==0.22.1+cu128"] +"rocm" = [ + "torch==2.7.1+rocm6.3", + "torchvision==0.22.1+rocm6.3", + "pytorch-triton-rocm", +] + "onnx" = ["onnxruntime"] "onnx-cuda" = ["onnxruntime-gpu"] "onnx-directml" = ["onnxruntime-directml"] @@ -113,7 +121,38 @@ dependencies = [ # Prevent opencv-python from ever being chosen during dependency resolution. # This prevents conflicts with opencv-contrib-python, which Invoke requires. override-dependencies = ["opencv-python; sys_platform=='never'"] +conflicts = [[{ extra = "cpu" }, { extra = "cuda" }, { extra = "rocm" }]] +index-strategy = "unsafe-best-match" + +[tool.uv.sources] +torch = [ + { index = "torch-cpu", extra = "cpu" }, + { index = "torch-cuda", extra = "cuda" }, + { index = "torch-rocm", extra = "rocm" }, +] +torchvision = [ + { index = "torch-cpu", extra = "cpu" }, + { index = "torch-cuda", extra = "cuda" }, + { index = "torch-rocm", extra = "rocm" }, +] +pytorch-triton-rocm = [ + { index = "torch-rocm", extra = "rocm", marker = "sys_platform == 'linux'" }, +] + +[[tool.uv.index]] +name = "torch-cpu" +url = "https://download.pytorch.org/whl/cpu" +explicit = true + +[[tool.uv.index]] +name = "torch-cuda" +url = "https://download.pytorch.org/whl/cu128" +explicit = true +[[tool.uv.index]] +name = "torch-rocm" +url = "https://download.pytorch.org/whl/rocm6.3" +explicit = true [project.scripts] "invokeai-web" = "invokeai.app.run_app:run_app" diff --git 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