day0-untested

docker-compose.yml

@@ -1,8 +1,8 @@
 services:
-  {{service}}-ts:
+  immich-machine-learning-ts:
     image: tailscale/tailscale:latest
-    hostname: {{service}}
-    container_name: {{service}}-ts
+    hostname: immich-machine-learning
+    container_name: immich-machine-learning-ts
     environment:
       - TS_AUTHKEY={{YOUR_TAILSCALE_AUTHKEY}}
       - TS_STATE_DIR=/var/lib/tailscale
@@ -15,7 +15,25 @@ services:
       - net_admin
       - sys_module
     restart: unless-stopped
-  {{service-compose}}
-    network_mode: service:{{service}}-ts
+
+  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://immich.app/docs/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
+    network_mode: service:immich-machine-learning-ts
     depends_on: 
-      - {{service}}-ts
+      - immich-machine-learning-ts
+    restart: always
+    healthcheck:
+      disable: false
+
+volumes:
+  model-cache: