immich

immich/docker-compose.yml

@@ -14,6 +14,8 @@ version: "3.8"
 services:
   immich-server:
     container_name: immich_server
+    networks:
+      - traefik
     image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
     # extends:
     #   file: hwaccel.transcoding.yml
@@ -31,6 +33,8 @@ services:
     restart: always
 
   immich-machine-learning:
+    networks:
+      - traefik
     container_name: immich_machine_learning
     # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
     # Example tag: ${IMMICH_VERSION:-release}-cuda
@@ -39,19 +43,23 @@ services:
     #   file: hwaccel.ml.yml
     #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
     volumes:
-      - model-cache:/cache
+      - /srv/immich/model-cache:/cache
     env_file:
       - .env
     restart: always
 
   redis:
-    container_name: immich_redis
+    networks:
+      - traefik
+    container_name: redis
     image: docker.io/redis:6.2-alpine@sha256:e3b17ba9479deec4b7d1eeec1548a253acc5374d68d3b27937fcfe4df8d18c7e
     # healthcheck:
     #   test: redis-cli ping || exit 1
     restart: always
 
   database:
+    networks:
+      - traefik
     container_name: immich_postgres
     image: docker.io/tensorchord/pgvecto-rs:pg14-v0.2.0@sha256:90724186f0a3517cf6914295b5ab410db9ce23190a2d9d0b9dd6463e3fa298f0
     environment:
@@ -69,8 +77,8 @@ services:
     command: ["postgres", "-c" ,"shared_preload_libraries=vectors.so", "-c", 'search_path="$$user", public, vectors', "-c", "logging_collector=on", "-c", "max_wal_size=2GB", "-c", "shared_buffers=512MB", "-c", "wal_compression=on"]
     restart: always
 
-volumes:
-  model-cache:
+# volumes:
+#   model-cache:
 
 
 # # services:
@@ -256,6 +264,6 @@ volumes:
 # #   model-cache:
 # #   tsdata:
 
-# networks:
-#   traefik:
-#     external: true
+networks:
+  traefik:
+    external: true