immich

compose/docker-compose.yml

@@ -1 +1,57 @@
-#Example for compose
+#
+# WARNING: To install Immich, follow our guide: https://docs.immich.app/install/docker-compose
+#
+# Make sure to use the docker-compose.yml of the current release:
+#
+# https://github.com/immich-app/immich/releases/latest/download/docker-compose.yml
+#
+# The compose file on main may not be compatible with the latest release.
+
+name: immich
+
+services:
+  immich-server:
+    container_name: immich_server
+    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
+    # extends:
+    #   file: hwaccel.transcoding.yml
+    #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
+    volumes:
+      # Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
+      - ${UPLOAD_LOCATION}:/data
+      - /etc/localtime:/etc/localtime:ro
+    env_file:
+      - .env
+    ports:
+      - "2283:2283"
+    depends_on:
+      - redis
+    restart: always
+    healthcheck:
+      disable: false
+
+  immich-machine-learning:
+    container_name: immich_machine_learning
+    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.
+    # Example tag: ${IMMICH_VERSION:-release}-cuda
+    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
+    # extends: # uncomment this section for hardware acceleration - see https://docs.immich.app/features/ml-hardware-acceleration
+    #   file: hwaccel.ml.yml
+    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable
+    volumes:
+      - model-cache:/cache
+    env_file:
+      - .env
+    restart: always
+    healthcheck:
+      disable: false
+
+  redis:
+    container_name: immich_redis
+    image: docker.io/valkey/valkey:9@sha256:70739f85ad2ee01a726a965584a0f94895f01b0c60b3cc8b0aeef11eaa6888cf
+    healthcheck:
+      test: redis-cli ping | grep -q PONG || exit 1
+    restart: always
+
+volumes:
+  model-cache: