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[BUG] immich-machine-learning unable to start #1216

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opened 2026-02-05 00:54:22 +03:00 by OVERLORD · 2 comments
OVERLORD commented 2026-02-05 00:54:22 +03:00
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Originally created by @TreviD on GitHub (Aug 11, 2023).

The bug

I use docker to start immich, but immich-machine-learning cannot start, and the error is as follows

INFO:     Started server process [7]
INFO:     Waiting for application startup.
Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration.
ERROR:    Traceback (most recent call last):
  File "/opt/venv/lib/python3.11/site-packages/starlette/routing.py", line 677, in lifespan
    async with self.lifespan_context(app) as maybe_state:
  File "/opt/venv/lib/python3.11/site-packages/starlette/routing.py", line 566, in __aenter__
    await self._router.startup()
  File "/opt/venv/lib/python3.11/site-packages/starlette/routing.py", line 654, in startup
    await handler()
  File "/usr/src/app/main.py", line 46, in startup_event
    await load_models()
  File "/usr/src/app/main.py", line 40, in load_models
    await app.state.model_cache.get(model_name, model_type, eager=settings.eager_startup)
  File "/usr/src/app/models/cache.py", line 53, in get
    model = InferenceModel.from_model_type(model_type, model_name, **model_kwargs)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/app/models/base.py", line 78, in from_model_type
    return subclasses[model_type](model_name, **model_kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/src/app/models/facial_recognition.py", line 27, in __init__
    super().__init__(model_name, cache_dir, **model_kwargs)
  File "/usr/src/app/models/base.py", line 25, in __init__
    loader(**model_kwargs)
  File "/usr/src/app/models/base.py", line 35, in load
    self.download(**model_kwargs)
  File "/usr/src/app/models/base.py", line 32, in download
    self._download(**model_kwargs)
  File "/usr/src/app/models/facial_recognition.py", line 32, in _download
    with zipfile.ZipFile(zip_file, "r") as zip:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/lib/python3.11/zipfile.py", line 1302, in __init__
    self._RealGetContents()
  File "/usr/local/lib/python3.11/zipfile.py", line 1369, in _RealGetContents
    raise BadZipFile("File is not a zip file")
zipfile.BadZipFile: File is not a zip file

ERROR:    Application startup failed. Exiting.

The OS that Immich Server is running on

Ubuntu 22.04.2 LTS

Version of Immich Server

v1.72.2

Version of Immich Mobile App

Platform with the issue

  • Server
  • Web
  • Mobile

Your docker-compose.yml content

version: "3.8"

services:
  immich-server:
    container_name: immich_server
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    command: [ "start.sh", "immich" ]
    volumes:
      - photos_upload_dir:/usr/src/app/upload
    env_file:
      - .env
    depends_on:
      - redis
      - database
      - typesense
    restart: always

  immich-microservices:
    container_name: immich_microservices
    image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release}
    extends:
       file: hwaccel.yml
       service: hwaccel
    command: [ "start.sh", "microservices" ]
    volumes:
      - photos_upload_dir:/usr/src/app/upload
    env_file:
      - .env
    depends_on:
      - redis
      - database
      - typesense
    restart: always

  immich-machine-learning:
    container_name: immich_machine_learning
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
    volumes:
      - model-cache:/cache
    env_file:
      - .env
    restart: always

  immich-web:
    container_name: immich_web
    image: ghcr.io/immich-app/immich-web:${IMMICH_VERSION:-release}
    env_file:
      - .env
    restart: always

  typesense:
    container_name: immich_typesense
    image: typesense/typesense:0.24.1@sha256:9bcff2b829f12074426ca044b56160ca9d777a0c488303469143dd9f8259d4dd
    environment:
      - TYPESENSE_API_KEY=${TYPESENSE_API_KEY}
      - TYPESENSE_DATA_DIR=/data
    volumes:
      - ./tsdata:/data
    restart: always

  redis:
    container_name: immich_redis
    image: redis:6.2-alpine@sha256:70a7a5b641117670beae0d80658430853896b5ef269ccf00d1827427e3263fa3
    restart: always

  database:
    container_name: immich_postgres
    image: postgres:14-alpine@sha256:28407a9961e76f2d285dc6991e8e48893503cc3836a4755bbc2d40bcc272a441
    env_file:
      - .env
    environment:
      POSTGRES_PASSWORD: ${DB_PASSWORD}
      POSTGRES_USER: ${DB_USERNAME}
      POSTGRES_DB: ${DB_DATABASE_NAME}
    volumes:
      - ./pgdata:/var/lib/postgresql/data
    restart: always

  immich-proxy:
    container_name: immich_proxy
    image: ghcr.io/immich-app/immich-proxy:${IMMICH_VERSION:-release}
    environment:
      # Make sure these values get passed through from the env file
      - IMMICH_SERVER_URL
      - IMMICH_WEB_URL
    ports:
      - 2283:8080
    depends_on:
      - immich-server
      - immich-web
    restart: always

volumes:
  #pgdata: ./pgdata
  model-cache:
    driver: local
    driver_opts:
      type: cifs
      device: //192.168.xxx.xxx/photos/model_cache
      o: "username=xxx,password=xxx,vers=3.0,uid=1000,gid=1000"
  #tsdata: ./tsdata
  photos_upload_dir:
    driver: local
    driver_opts:
      type: cifs
      device: //192.168.xxx.xxx/photos/
      o: "username=xxx,password=xxx,vers=3.0,uid=1000,gid=1000"

Your .env content

###################################################################################
# Database
###################################################################################

# NOTE: The following four database variables support Docker secrets by adding a *_FILE suffix to the variable name
# See the docker-compose documentation on secrets for additional details: https://docs.docker.com/compose/compose-file/compose-file-v3/#secrets
DB_HOSTNAME=immich_postgres
DB_USERNAME=postgres
DB_PASSWORD=postgres
DB_DATABASE_NAME=immich

# Optional Database settings:
# DB_PORT=5432

###################################################################################
# Redis
###################################################################################

REDIS_HOSTNAME=immich_redis

# REDIS_URL will be used to pass custom options to ioredis.
# Example for Sentinel
# {"sentinels":[{"host":"redis-sentinel-node-0","port":26379},{"host":"redis-sentinel-node-1","port":26379},{"host":"redis-sentinel-node-2","port":26379}],"name":"redis-sentinel"}
# REDIS_URL=ioredis://eyJzZW50aW5lbHMiOlt7Imhvc3QiOiJyZWRpcy1zZW50aW5lbDEiLCJwb3J0IjoyNjM3OX0seyJob3N0IjoicmVkaXMtc2VudGluZWwyIiwicG9ydCI6MjYzNzl9XSwibmFtZSI6Im15bWFzdGVyIn0=

# Optional Redis settings:

# Note: these parameters are not automatically passed to the Redis Container
# to do so, please edit the docker-compose.yml file as well. Redis is not configured
# via environment variables, only redis.conf or the command line

# REDIS_PORT=6379
# REDIS_DBINDEX=0
# REDIS_USERNAME=
# REDIS_PASSWORD=
# REDIS_SOCKET=

###################################################################################
# Upload File Location
#
# This is the location where uploaded files are stored.
###################################################################################

UPLOAD_LOCATION=absolute_location_on_your_machine_where_you_want_to_store_the_backup


###################################################################################
# Typesense
###################################################################################
TYPESENSE_API_KEY=xxxx
# TYPESENSE_ENABLED=false
# TYPESENSE_URL uses base64 encoding for the nodes json.
# Example JSON that was used:
# [
#      { "host": "typesense-1.example.net", "port": "443", "protocol": "https" },
#      { "host": "typesense-2.example.net", "port": "443", "protocol": "https" },
#      { "host": "typesense-3.example.net", "port": "443", "protocol": "https" },
# ]
# TYPESENSE_URL=ha://WwogIHsgImhvc3QiOiAidHlwZXNlbnNlLTEuZXhhbXBsZS5uZXQiLCAicG9ydCI6ICI0NDMiLCAicHJvdG9jb2wiOiAiaHR0cHMiIH0sCiAgeyAiaG9zdCI6ICJ0eXBlc2Vuc2UtMi5leGFtcGxlLm5ldCIsICJwb3J0IjogIjQ0MyIsICJwcm90b2NvbCI6ICJodHRwcyIgfSwKICB7ICJob3N0IjogInR5cGVzZW5zZS0zLmV4YW1wbGUubmV0IiwgInBvcnQiOiAiNDQzIiwgInByb3RvY29sIjogImh0dHBzIiB9Cl0=

###################################################################################
# Reverse Geocoding
#
# Reverse geocoding is done locally which has a small impact on memory usage
# This memory usage can be altered by changing the REVERSE_GEOCODING_PRECISION variable
# This ranges from 0-3 with 3 being the most precise
# 3 - Cities > 500 population: ~200MB RAM
# 2 - Cities > 1000 population: ~150MB RAM
# 1 - Cities > 5000 population: ~80MB RAM
# 0 - Cities > 15000 population: ~40MB RAM
####################################################################################

# DISABLE_REVERSE_GEOCODING=false
# REVERSE_GEOCODING_PRECISION=3

####################################################################################
# WEB - Optional
#
# Custom message on the login page, should be written in HTML form.
# For example:
# PUBLIC_LOGIN_PAGE_MESSAGE="This is a demo instance of Immich.<br><br>Email: <i>demo@demo.de</i><br>Password: <i>demo</i>"
####################################################################################

PUBLIC_LOGIN_PAGE_MESSAGE=

####################################################################################
# Alternative Service Addresses - Optional
#
# This is an advanced feature for users who may be running their immich services on different hosts.
# It will not change which address or port that services bind to within their containers, but it will change where other services look for their peers.
# Note: immich-microservices is bound to 3002, but no references are made
####################################################################################

IMMICH_WEB_URL=http://immich-web:3000
IMMICH_SERVER_URL=http://immich-server:3001
IMMICH_MACHINE_LEARNING_URL=http://immich-machine-learning:3003

####################################################################################
# Alternative API's External Address - Optional
#
# This is an advanced feature used to control the public server endpoint returned to clients during Well-known discovery.
# You should only use this if you want mobile apps to access the immich API over a custom URL. Do not include trailing slash.
# NOTE: At this time, the web app will not be affected by this setting and will continue to use the relative path: /api
# Examples: http://localhost:3001, http://immich-api.example.com, etc
####################################################################################

#IMMICH_API_URL_EXTERNAL=http://localhost:3001

###################################################################################
# Immich Version - Optional
#
# This allows all immich docker images to be pinned to a specific version. By default,
# the version is "release" but could be a specific version, like "v1.59.0".
###################################################################################

Reproduction steps

1. exec ` docker-compose up -d `

Additional information

hwaccel.yml

version: "3.8"

# Hardware acceleration for transcoding - Optional
# This is only needed if you want to use hardware acceleration for transcoding.
# Depending on your hardware, you should uncomment the relevant lines below.

services:
  hwaccel:
     devices:
       - /dev/dri:/dev/dri  # If using Intel QuickSync or VAAPI
    # volumes:
    #   - /usr/lib/wsl:/usr/lib/wsl # If using VAAPI in WSL2
    # environment:
    #   - NVIDIA_DRIVER_CAPABILITIES=all # If using NVIDIA GPU
    #   - LD_LIBRARY_PATH=/usr/lib/wsl/lib # If using VAAPI in WSL2
    #   - LIBVA_DRIVER_NAME=d3d12 # If using VAAPI in WSL2
    # deploy: # Uncomment this section if using NVIDIA GPU
    #   resources:
    #     reservations:
    #       devices:
    #         - driver: nvidia
    #           count: 1
    #           capabilities: [gpu]
Originally created by @TreviD on GitHub (Aug 11, 2023). ### The bug I use docker to start immich, but immich-machine-learning cannot start, and the error is as follows ``` INFO: Started server process [7] INFO: Waiting for application startup. Could not find image processor class in the image processor config or the model config. Loading based on pattern matching with the model's feature extractor configuration. ERROR: Traceback (most recent call last): File "/opt/venv/lib/python3.11/site-packages/starlette/routing.py", line 677, in lifespan async with self.lifespan_context(app) as maybe_state: File "/opt/venv/lib/python3.11/site-packages/starlette/routing.py", line 566, in __aenter__ await self._router.startup() File "/opt/venv/lib/python3.11/site-packages/starlette/routing.py", line 654, in startup await handler() File "/usr/src/app/main.py", line 46, in startup_event await load_models() File "/usr/src/app/main.py", line 40, in load_models await app.state.model_cache.get(model_name, model_type, eager=settings.eager_startup) File "/usr/src/app/models/cache.py", line 53, in get model = InferenceModel.from_model_type(model_type, model_name, **model_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/app/models/base.py", line 78, in from_model_type return subclasses[model_type](model_name, **model_kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/src/app/models/facial_recognition.py", line 27, in __init__ super().__init__(model_name, cache_dir, **model_kwargs) File "/usr/src/app/models/base.py", line 25, in __init__ loader(**model_kwargs) File "/usr/src/app/models/base.py", line 35, in load self.download(**model_kwargs) File "/usr/src/app/models/base.py", line 32, in download self._download(**model_kwargs) File "/usr/src/app/models/facial_recognition.py", line 32, in _download with zipfile.ZipFile(zip_file, "r") as zip: ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/zipfile.py", line 1302, in __init__ self._RealGetContents() File "/usr/local/lib/python3.11/zipfile.py", line 1369, in _RealGetContents raise BadZipFile("File is not a zip file") zipfile.BadZipFile: File is not a zip file ERROR: Application startup failed. Exiting. ``` ### The OS that Immich Server is running on Ubuntu 22.04.2 LTS ### Version of Immich Server v1.72.2 ### Version of Immich Mobile App - ### Platform with the issue - [X] Server - [ ] Web - [ ] Mobile ### Your docker-compose.yml content ```YAML version: "3.8" services: immich-server: container_name: immich_server image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} command: [ "start.sh", "immich" ] volumes: - photos_upload_dir:/usr/src/app/upload env_file: - .env depends_on: - redis - database - typesense restart: always immich-microservices: container_name: immich_microservices image: ghcr.io/immich-app/immich-server:${IMMICH_VERSION:-release} extends: file: hwaccel.yml service: hwaccel command: [ "start.sh", "microservices" ] volumes: - photos_upload_dir:/usr/src/app/upload env_file: - .env depends_on: - redis - database - typesense restart: always immich-machine-learning: container_name: immich_machine_learning image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release} volumes: - model-cache:/cache env_file: - .env restart: always immich-web: container_name: immich_web image: ghcr.io/immich-app/immich-web:${IMMICH_VERSION:-release} env_file: - .env restart: always typesense: container_name: immich_typesense image: typesense/typesense:0.24.1@sha256:9bcff2b829f12074426ca044b56160ca9d777a0c488303469143dd9f8259d4dd environment: - TYPESENSE_API_KEY=${TYPESENSE_API_KEY} - TYPESENSE_DATA_DIR=/data volumes: - ./tsdata:/data restart: always redis: container_name: immich_redis image: redis:6.2-alpine@sha256:70a7a5b641117670beae0d80658430853896b5ef269ccf00d1827427e3263fa3 restart: always database: container_name: immich_postgres image: postgres:14-alpine@sha256:28407a9961e76f2d285dc6991e8e48893503cc3836a4755bbc2d40bcc272a441 env_file: - .env environment: POSTGRES_PASSWORD: ${DB_PASSWORD} POSTGRES_USER: ${DB_USERNAME} POSTGRES_DB: ${DB_DATABASE_NAME} volumes: - ./pgdata:/var/lib/postgresql/data restart: always immich-proxy: container_name: immich_proxy image: ghcr.io/immich-app/immich-proxy:${IMMICH_VERSION:-release} environment: # Make sure these values get passed through from the env file - IMMICH_SERVER_URL - IMMICH_WEB_URL ports: - 2283:8080 depends_on: - immich-server - immich-web restart: always volumes: #pgdata: ./pgdata model-cache: driver: local driver_opts: type: cifs device: //192.168.xxx.xxx/photos/model_cache o: "username=xxx,password=xxx,vers=3.0,uid=1000,gid=1000" #tsdata: ./tsdata photos_upload_dir: driver: local driver_opts: type: cifs device: //192.168.xxx.xxx/photos/ o: "username=xxx,password=xxx,vers=3.0,uid=1000,gid=1000" ``` ### Your .env content ```Shell ################################################################################### # Database ################################################################################### # NOTE: The following four database variables support Docker secrets by adding a *_FILE suffix to the variable name # See the docker-compose documentation on secrets for additional details: https://docs.docker.com/compose/compose-file/compose-file-v3/#secrets DB_HOSTNAME=immich_postgres DB_USERNAME=postgres DB_PASSWORD=postgres DB_DATABASE_NAME=immich # Optional Database settings: # DB_PORT=5432 ################################################################################### # Redis ################################################################################### REDIS_HOSTNAME=immich_redis # REDIS_URL will be used to pass custom options to ioredis. # Example for Sentinel # {"sentinels":[{"host":"redis-sentinel-node-0","port":26379},{"host":"redis-sentinel-node-1","port":26379},{"host":"redis-sentinel-node-2","port":26379}],"name":"redis-sentinel"} # REDIS_URL=ioredis://eyJzZW50aW5lbHMiOlt7Imhvc3QiOiJyZWRpcy1zZW50aW5lbDEiLCJwb3J0IjoyNjM3OX0seyJob3N0IjoicmVkaXMtc2VudGluZWwyIiwicG9ydCI6MjYzNzl9XSwibmFtZSI6Im15bWFzdGVyIn0= # Optional Redis settings: # Note: these parameters are not automatically passed to the Redis Container # to do so, please edit the docker-compose.yml file as well. Redis is not configured # via environment variables, only redis.conf or the command line # REDIS_PORT=6379 # REDIS_DBINDEX=0 # REDIS_USERNAME= # REDIS_PASSWORD= # REDIS_SOCKET= ################################################################################### # Upload File Location # # This is the location where uploaded files are stored. ################################################################################### UPLOAD_LOCATION=absolute_location_on_your_machine_where_you_want_to_store_the_backup ################################################################################### # Typesense ################################################################################### TYPESENSE_API_KEY=xxxx # TYPESENSE_ENABLED=false # TYPESENSE_URL uses base64 encoding for the nodes json. # Example JSON that was used: # [ # { "host": "typesense-1.example.net", "port": "443", "protocol": "https" }, # { "host": "typesense-2.example.net", "port": "443", "protocol": "https" }, # { "host": "typesense-3.example.net", "port": "443", "protocol": "https" }, # ] # TYPESENSE_URL=ha://WwogIHsgImhvc3QiOiAidHlwZXNlbnNlLTEuZXhhbXBsZS5uZXQiLCAicG9ydCI6ICI0NDMiLCAicHJvdG9jb2wiOiAiaHR0cHMiIH0sCiAgeyAiaG9zdCI6ICJ0eXBlc2Vuc2UtMi5leGFtcGxlLm5ldCIsICJwb3J0IjogIjQ0MyIsICJwcm90b2NvbCI6ICJodHRwcyIgfSwKICB7ICJob3N0IjogInR5cGVzZW5zZS0zLmV4YW1wbGUubmV0IiwgInBvcnQiOiAiNDQzIiwgInByb3RvY29sIjogImh0dHBzIiB9Cl0= ################################################################################### # Reverse Geocoding # # Reverse geocoding is done locally which has a small impact on memory usage # This memory usage can be altered by changing the REVERSE_GEOCODING_PRECISION variable # This ranges from 0-3 with 3 being the most precise # 3 - Cities > 500 population: ~200MB RAM # 2 - Cities > 1000 population: ~150MB RAM # 1 - Cities > 5000 population: ~80MB RAM # 0 - Cities > 15000 population: ~40MB RAM #################################################################################### # DISABLE_REVERSE_GEOCODING=false # REVERSE_GEOCODING_PRECISION=3 #################################################################################### # WEB - Optional # # Custom message on the login page, should be written in HTML form. # For example: # PUBLIC_LOGIN_PAGE_MESSAGE="This is a demo instance of Immich.<br><br>Email: <i>demo@demo.de</i><br>Password: <i>demo</i>" #################################################################################### PUBLIC_LOGIN_PAGE_MESSAGE= #################################################################################### # Alternative Service Addresses - Optional # # This is an advanced feature for users who may be running their immich services on different hosts. # It will not change which address or port that services bind to within their containers, but it will change where other services look for their peers. # Note: immich-microservices is bound to 3002, but no references are made #################################################################################### IMMICH_WEB_URL=http://immich-web:3000 IMMICH_SERVER_URL=http://immich-server:3001 IMMICH_MACHINE_LEARNING_URL=http://immich-machine-learning:3003 #################################################################################### # Alternative API's External Address - Optional # # This is an advanced feature used to control the public server endpoint returned to clients during Well-known discovery. # You should only use this if you want mobile apps to access the immich API over a custom URL. Do not include trailing slash. # NOTE: At this time, the web app will not be affected by this setting and will continue to use the relative path: /api # Examples: http://localhost:3001, http://immich-api.example.com, etc #################################################################################### #IMMICH_API_URL_EXTERNAL=http://localhost:3001 ################################################################################### # Immich Version - Optional # # This allows all immich docker images to be pinned to a specific version. By default, # the version is "release" but could be a specific version, like "v1.59.0". ################################################################################### ``` ### Reproduction steps ```bash 1. exec ` docker-compose up -d ` ``` ### Additional information hwaccel.yml ``` version: "3.8" # Hardware acceleration for transcoding - Optional # This is only needed if you want to use hardware acceleration for transcoding. # Depending on your hardware, you should uncomment the relevant lines below. services: hwaccel: devices: - /dev/dri:/dev/dri # If using Intel QuickSync or VAAPI # volumes: # - /usr/lib/wsl:/usr/lib/wsl # If using VAAPI in WSL2 # environment: # - NVIDIA_DRIVER_CAPABILITIES=all # If using NVIDIA GPU # - LD_LIBRARY_PATH=/usr/lib/wsl/lib # If using VAAPI in WSL2 # - LIBVA_DRIVER_NAME=d3d12 # If using VAAPI in WSL2 # deploy: # Uncomment this section if using NVIDIA GPU # resources: # reservations: # devices: # - driver: nvidia # count: 1 # capabilities: [gpu] ```
OVERLORD commented 2026-02-05 00:54:49 +03:00
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@alextran1502 commented on GitHub (Aug 11, 2023):

try

docker-compose down then docker volume rm immich_model-cache and finally docker-compose up

@alextran1502 commented on GitHub (Aug 11, 2023): try `docker-compose down` then `docker volume rm immich_model-cache` and finally `docker-compose up`
OVERLORD commented 2026-02-05 00:54:51 +03:00
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@mertalev commented on GitHub (Aug 11, 2023):

This is fixed with #3600, but hasn't made it to the latest release. Alex's suggestion should work in the meantime.

@mertalev commented on GitHub (Aug 11, 2023): This is fixed with #3600, but hasn't made it to the latest release. Alex's suggestion should work in the meantime.
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Reference: immich-app/immich#1216
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