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ImmichI
Immich•9mo ago•
31 replies
RedGamer

1.133.0 update help

Hi everyone,

I’m a beginner user and a bit inexperienced with Immich. I’ve carefully read the changelog for version 1.133.0, but I’m a little worried about causing damage during the upgrade. Could someone help me for a few minutes so I don’t mess everything up? XD

Right now I’m using Immich in a very simple way: I installed it on Ubuntu Desktop (accessed via SSH) and configured an external drive on my NAS as the storage location. I haven’t changed any other settings, so I’m not sure if the upgrade instructions are meant for “basic” setups like mine or only for more complex configurations.

I’ve attached my docker-compose.yml file below. Thanks a lot for your help!
(The version I’m currently using is 1.132.3)


- .env
ports:
- '2283:2283'
depends_on:
- redis
- database
restart: always
healthcheck:
disable: false

immich-machine-learning:
container_name: immich_machine_learning
# For hardware acceleration, add one of -[armnn, cuda, openvino] 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, openvino, openvino-wsl] for accelerated inference - use the
-wsl
-wsl
version for WSL2 where applicable
volumes:
- model-cache:/cache
env_file:
- .env
restart: always
healthcheck:
disable: false

redis:
container_name: immich_redis
image: docker.io/redis:6.2-alpine@sha256:2ba50e1ac3a0ea17b736ce9db2b0a9f6f8b85d4c27d5f5accc6a416d8f42c6d5
healthcheck:
test: redis-cli ping exit 1; Chksum="$$(psql --dbname='${DB_DATABASE_NAME}' --username='${DB_USERNAME}' --tuples-only --no-align>
interval: 5m
start_interval: 30s
start_period: 5m
command:
[
'postgres',
'-c',
'shared_preload_libraries=vectors.so',
'-c',
'search_path="$$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:
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