From d19673d17474192fda64b3e84af1efc4e2c04f78 Mon Sep 17 00:00:00 2001
From: "ladislav.dusa" <ladislav.dusa@cancom.de>
Date: Fri, 10 Oct 2025 16:08:11 +0200
Subject: [PATCH] renamed metadata name to _infra

---
 immich/docker-compose.yml | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/immich/docker-compose.yml b/immich/docker-compose.yml
index b4ff05f..a1a7e1f 100755
--- a/immich/docker-compose.yml
+++ b/immich/docker-compose.yml
@@ -13,12 +13,13 @@ 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
+    extends:
+      file: hwaccel.transcoding.yml
+      service: vaapi # 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
+      - /media/nas/nas-photo/:/data2
       - /etc/localtime:/etc/localtime:ro
     env_file:
       - .env
@@ -36,9 +37,9 @@ services:
     # 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
+    extends: # uncomment this section for hardware acceleration - see https://docs.immich.app/features/ml-hardware-acceleration
+      file: hwaccel.ml.yml
+      service: openvino # 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: