Update ghcr.io/neptunehub/audiomuse-ai Docker tag to v0.9.6

audiomuse/docker-compose.yml

@@ -31,7 +31,7 @@ services:
 
   # AudioMuse-AI Flask application service
   audiomuse-ai-flask:
-    image: ghcr.io/neptunehub/audiomuse-ai:0.9.5 # Reflects deployment.yaml
+    image: ghcr.io/neptunehub/audiomuse-ai:0.9.6 # Reflects deployment.yaml
     container_name: audiomuse-ai-flask-app
     ports:
       - "8013:8000"
@@ -69,7 +69,7 @@ services:
 
   # AudioMuse-AI RQ Worker service
   audiomuse-ai-worker:
-    image: ghcr.io/neptunehub/audiomuse-ai:0.9.5 # Reflects deployment.yaml
+    image: ghcr.io/neptunehub/audiomuse-ai:0.9.6 # Reflects deployment.yaml
     container_name: audiomuse-ai-worker-instance
     env_file:
       - .env

gitea/docker-compose.yml

@@ -1,7 +1,7 @@
 services:
   gitea:
     container_name: gitea
-    image: gitea/gitea:1.25.5-rootless
+    image: gitea/gitea:1.25.2-rootless
     restart: always
     volumes:
       - ${GITEA_DATA_LOCATION}:/var/lib/gitea

immich/docker-compose.yml

@@ -1,7 +1,7 @@
 services:
   immich-server:
     container_name: immich_server
-    image: ghcr.io/immich-app/immich-server:v2.7.2
+    image: ghcr.io/immich-app/immich-server:v2.6.3
     # extends:
     #   file: hwaccel.transcoding.yml
     #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
@@ -25,7 +25,7 @@ services:
 
   immich-machine-learning:
     container_name: immich_machine_learning
-    image: ghcr.io/immich-app/immich-machine-learning:v2.7.2
+    image: ghcr.io/immich-app/immich-machine-learning:v2.6.3
     volumes:
       - model-cache:/cache
     env_file:

synapse/docker-compose.yml

@@ -61,7 +61,7 @@ services:
     ports:
       - 5440:5432
   mas:
-    image: ghcr.io/element-hq/matrix-authentication-service:1.15.0
+    image: ghcr.io/element-hq/matrix-authentication-service:1.14.0
     restart: always
     working_dir: /config
     volumes: