Merge remote-tracking branch 'origin/main'

dawarich/docker-compose.yml

@@ -38,7 +38,7 @@ services:
     labels:
       - traefik.constraint=proxy-public
       - traefik.http.routers.nginx.rule=Host(`dawarich.arnoutvw.nl`)
-    image: freikin/dawarich:1.0.0
+    image: freikin/dawarich:1.0.4
     container_name: dawarich_app
     network_mode: bridge
     volumes:
@@ -98,7 +98,7 @@ services:
           cpus: '0.50'    # Limit CPU usage to 50% of one core
           memory: '4G'    # Limit memory usage to 4GB
   dawarich_sidekiq:
-    image: freikin/dawarich:1.0.0
+    image: freikin/dawarich:1.0.4
     container_name: dawarich_sidekiq
     volumes:
       - dawarich_public:/var/app/public

download/compose.yaml

@@ -133,7 +133,7 @@ services:
       - "PGID=100"
       - "HOST_HOSTNAME=Atlas"
       - "HOST_CONTAINERNAME=binhex-sonarr"
-    image: "binhex/arch-sonarr:4.0.15.2941-1-03"
+    image: "binhex/arch-sonarr:4.0.16.2944-1-03"
     labels:
       cloudflare.tunnel.enable: "true"
       cloudflare.tunnel.service: "http://192.168.10.144:8989"

immich/compose.yaml

@@ -40,7 +40,7 @@ services:
       - net.unraid.docker.icon="https://raw.githubusercontent.com/imagegenius/templates/main/unraid/img/immich.png"
       - net.unraid.docker.managed="dockerman"
     container_name: immich_server
-    image: ghcr.io/immich-app/immich-server:v2.4.1
+    image: ghcr.io/immich-app/immich-server:v2.5.3
     extends:
       file: hwaccel.transcoding.yml
       service: vaapi
@@ -69,7 +69,7 @@ services:
     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:v2.4.1-openvino
+    image: ghcr.io/immich-app/immich-machine-learning:v2.5.3-openvino
     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

postiz/compose.yaml

@@ -1,6 +1,6 @@
 services:
   postiz:
-    image: ghcr.io/gitroomhq/postiz-app:v2.12.1
+    image: ghcr.io/gitroomhq/postiz-app:v2.14.0
     container_name: postiz
     restart: always
     network_mode: bridge