chore: version v1.130.0

Co-authored-by: Yaros <thedj.launchpadder.dmx512@gmail.com>

.devcontainer/Dockerfile

@@ -1,4 +1,4 @@
-ARG BASEIMAGE=mcr.microsoft.com/devcontainers/typescript-node:22@sha256:9791f4aa527774bc370c6bd2f6705ce5a686f1e6f204badd8dfaacce28c631ae
+ARG BASEIMAGE=mcr.microsoft.com/devcontainers/typescript-node:22@sha256:2ef23730ec68d8511ec8e6e0b82550ca728b256805d81f60ed890f3bfb21cfb9
 FROM ${BASEIMAGE}
 
 # Flutter SDK

.github/.nvmrc

@@ -0,0 +1 @@
+22.14.0

.github/DISCUSSION_TEMPLATE/feature-request.yaml

@@ -1,5 +1,5 @@
-title: "[Feature] feature-name-goes-here"
-labels: ["feature"]
+title: '[Feature] feature-name-goes-here'
+labels: ['feature']
 
 body:
   - type: markdown
@@ -13,7 +13,7 @@ body:
     attributes:
       label: I have searched the existing feature requests, both open and closed, to make sure this is not a duplicate request.
       options:
-        - label: "Yes"
+        - label: 'Yes'
           required: true
 
   - type: textarea

.github/ISSUE_TEMPLATE/bug_report.yaml

@@ -5,7 +5,7 @@ body:
     attributes:
       label: I have searched the existing issues, both open and closed, to make sure this is not a duplicate report.
       options:
-        - label: "Yes"
+        - label: 'Yes'
           required: true
 
   - type: markdown
@@ -84,7 +84,7 @@ body:
     id: repro
     attributes:
       label: Reproduction steps
-      description: "How do you trigger this bug? Please walk us through it step by step."
+      description: 'How do you trigger this bug? Please walk us through it step by step.'
       value: |
         1.
         2.
@@ -97,12 +97,13 @@ body:
     id: logs
     attributes:
       label: Relevant log output
-      description: Please copy and paste any relevant logs below. (code formatting is
+      description:
+        Please copy and paste any relevant logs below. (code formatting is
         enabled, no need for backticks)
       render: shell
     validations:
       required: false
-      
+
   - type: textarea
     attributes:
       label: Additional information

.github/package-lock.json

@@ -0,0 +1,28 @@
+{
+  "name": ".github",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "devDependencies": {
+        "prettier": "^3.5.3"
+      }
+    },
+    "node_modules/prettier": {
+      "version": "3.5.3",
+      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.5.3.tgz",
+      "integrity": "sha512-QQtaxnoDJeAkDvDKWCLiwIXkTgRhwYDEQCghU9Z6q03iyek/rxRh/2lC3HB7P8sWT2xC/y5JDctPLBIGzHKbhw==",
+      "dev": true,
+      "license": "MIT",
+      "bin": {
+        "prettier": "bin/prettier.cjs"
+      },
+      "engines": {
+        "node": ">=14"
+      },
+      "funding": {
+        "url": "https://github.com/prettier/prettier?sponsor=1"
+      }
+    }
+  }
+}

.github/package.json

@@ -0,0 +1,9 @@
+{
+  "scripts": {
+    "format": "prettier --check .",
+    "format:fix": "prettier --write ."
+  },
+  "devDependencies": {
+    "prettier": "^3.5.3"
+  }
+}

.github/release.yml

@@ -1,33 +1,33 @@
-changelog:
-  categories:
-    - title: 🚨 Breaking Changes
-      labels:
-        - changelog:breaking-change
-
-    - title: 🫥 Deprecated Changes
-      labels:
-        - changelog:deprecated
-
-    - title: 🔒 Security
-      labels:
-        - changelog:security
-
-    - title: 🚀 Features
-      labels:
-        - changelog:feature
-
-    - title: 🌟 Enhancements
-      labels:
-        - changelog:enhancement
-
-    - title: 🐛 Bug fixes
-      labels:
-        - changelog:bugfix
-
-    - title: 📚 Documentation
-      labels:
-        - changelog:documentation
-
-    - title: 🌐 Translations
-      labels:
-        - changelog:translation
+changelog:
+  categories:
+    - title: 🚨 Breaking Changes
+      labels:
+        - changelog:breaking-change
+
+    - title: 🫥 Deprecated Changes
+      labels:
+        - changelog:deprecated
+
+    - title: 🔒 Security
+      labels:
+        - changelog:security
+
+    - title: 🚀 Features
+      labels:
+        - changelog:feature
+
+    - title: 🌟 Enhancements
+      labels:
+        - changelog:enhancement
+
+    - title: 🐛 Bug fixes
+      labels:
+        - changelog:bugfix
+
+    - title: 📚 Documentation
+      labels:
+        - changelog:documentation
+
+    - title: 🌐 Translations
+      labels:
+        - changelog:translation

.github/workflows/build-mobile.yml

@@ -22,9 +22,9 @@ jobs:
       should_run: ${{ steps.found_paths.outputs.mobile == 'true' || steps.should_force.outputs.should_force == 'true' }}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - id: found_paths
-        uses: dorny/paths-filter@v3
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3
         with:
           filters: |
             mobile:
@@ -51,18 +51,18 @@ jobs:
           ref="${input_ref:-$github_ref}"
           echo "ref=$ref" >> $GITHUB_OUTPUT
 
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           ref: ${{ steps.get-ref.outputs.ref }}
 
-      - uses: actions/setup-java@v4
+      - uses: actions/setup-java@3a4f6e1af504cf6a31855fa899c6aa5355ba6c12 # v4
         with:
           distribution: 'zulu'
           java-version: '17'
           cache: 'gradle'
 
       - name: Setup Flutter SDK
-        uses: subosito/flutter-action@v2
+        uses: subosito/flutter-action@44ac965b96f18d999802d4b807e3256d5a3f9fa1 # v2
         with:
           channel: 'stable'
           flutter-version-file: ./mobile/pubspec.yaml
@@ -89,7 +89,7 @@ jobs:
           flutter build apk --release --split-per-abi --target-platform android-arm,android-arm64,android-x64
 
       - name: Publish Android Artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
         with:
           name: release-apk-signed
           path: mobile/build/app/outputs/flutter-apk/*.apk

.github/workflows/cache-cleanup.yml

@@ -14,7 +14,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Check out code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Cleanup
         run: |

.github/workflows/cli.yml

@@ -6,7 +6,6 @@ on:
       - 'cli/**'
       - '.github/workflows/cli.yml'
   pull_request:
-    branches: [main]
     paths:
       - 'cli/**'
       - '.github/workflows/cli.yml'
@@ -29,9 +28,9 @@ jobs:
         working-directory: ./cli
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       # Setup .npmrc file to publish to npm
-      - uses: actions/setup-node@v4
+      - uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './cli/.nvmrc'
           registry-url: 'https://registry.npmjs.org'
@@ -53,16 +52,16 @@ jobs:
 
     steps:
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3.6.0
+        uses: docker/setup-qemu-action@29109295f81e9208d7d86ff1c6c12d2833863392 # v3.6.0
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3.10.0
+        uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
 
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           registry: ghcr.io
@@ -77,7 +76,7 @@ jobs:
 
       - name: Generate docker image tags
         id: metadata
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@902fa8ec7d6ecbf8d84d538b9b233a880e428804 # v5
         with:
           flavor: |
             latest=false
@@ -88,7 +87,7 @@ jobs:
             type=raw,value=latest,enable=${{ github.event_name == 'release' }}
 
       - name: Build and push image
-        uses: docker/build-push-action@v6.15.0
+        uses: docker/build-push-action@471d1dc4e07e5cdedd4c2171150001c434f0b7a4 # v6.15.0
         with:
           file: cli/Dockerfile
           platforms: linux/amd64,linux/arm64

.github/workflows/codeql-analysis.yml

@@ -9,14 +9,14 @@
 # the `language` matrix defined below to confirm you have the correct set of
 # supported CodeQL languages.
 #
-name: "CodeQL"
+name: 'CodeQL'
 
 on:
   push:
-    branches: [ "main" ]
+    branches: ['main']
   pull_request:
     # The branches below must be a subset of the branches above
-    branches: [ "main" ]
+    branches: ['main']
   schedule:
     - cron: '20 13 * * 1'
 
@@ -36,43 +36,42 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        language: [ 'javascript', 'python' ]
+        language: ['javascript', 'python']
         # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ]
         # Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support
 
     steps:
-    - name: Checkout repository
-      uses: actions/checkout@v4
+      - name: Checkout repository
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
-    # Initializes the CodeQL tools for scanning.
-    - name: Initialize CodeQL
-      uses: github/codeql-action/init@v3
-      with:
-        languages: ${{ matrix.language }}
-        # If you wish to specify custom queries, you can do so here or in a config file.
-        # By default, queries listed here will override any specified in a config file.
-        # Prefix the list here with "+" to use these queries and those in the config file.
+      # Initializes the CodeQL tools for scanning.
+      - name: Initialize CodeQL
+        uses: github/codeql-action/init@5f8171a638ada777af81d42b55959a643bb29017 # v3
+        with:
+          languages: ${{ matrix.language }}
+          # If you wish to specify custom queries, you can do so here or in a config file.
+          # By default, queries listed here will override any specified in a config file.
+          # Prefix the list here with "+" to use these queries and those in the config file.
 
-        # Details on CodeQL's query packs refer to : https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
-        # queries: security-extended,security-and-quality
+          # Details on CodeQL's query packs refer to : https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
+          # queries: security-extended,security-and-quality
 
+      # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
+      # If this step fails, then you should remove it and run the build manually (see below)
+      - name: Autobuild
+        uses: github/codeql-action/autobuild@5f8171a638ada777af81d42b55959a643bb29017 # v3
 
-    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
-    # If this step fails, then you should remove it and run the build manually (see below)
-    - name: Autobuild
-      uses: github/codeql-action/autobuild@v3
+      # ℹ️ Command-line programs to run using the OS shell.
+      # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
 
-    # ℹ️ Command-line programs to run using the OS shell.
-    # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
+      #   If the Autobuild fails above, remove it and uncomment the following three lines.
+      #   modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance.
 
-    #   If the Autobuild fails above, remove it and uncomment the following three lines.
-    #   modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance.
+      # - run: |
+      #   echo "Run, Build Application using script"
+      #   ./location_of_script_within_repo/buildscript.sh
 
-    # - run: |
-    #   echo "Run, Build Application using script"
-    #   ./location_of_script_within_repo/buildscript.sh
-
-    - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v3
-      with:
-        category: "/language:${{matrix.language}}"
+      - name: Perform CodeQL Analysis
+        uses: github/codeql-action/analyze@5f8171a638ada777af81d42b55959a643bb29017 # v3
+        with:
+          category: '/language:${{matrix.language}}'

.github/workflows/docker.yml

@@ -23,9 +23,9 @@ jobs:
       should_run_ml: ${{ steps.found_paths.outputs.machine-learning == 'true' || steps.should_force.outputs.should_force == 'true' }}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - id: found_paths
-        uses: dorny/paths-filter@v3
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3
         with:
           filters: |
             server:
@@ -49,23 +49,23 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        suffix: ["", "-cuda", "-openvino", "-armnn"]
+        suffix: ['', '-cuda', '-rocm', '-openvino', '-armnn', '-rknn']
     steps:
-        - name: Login to GitHub Container Registry
-          uses: docker/login-action@v3
-          with:
-            registry: ghcr.io
-            username: ${{ github.repository_owner }}
-            password: ${{ secrets.GITHUB_TOKEN }}
-        - name: Re-tag image
-          run: |
-              REGISTRY_NAME="ghcr.io"
-              REPOSITORY=${{ github.repository_owner }}/immich-machine-learning
-              TAG_OLD=main${{ matrix.suffix }}
-              TAG_PR=${{ github.event.number == 0 && github.ref_name ||  format('pr-{0}', github.event.number)  }}${{ matrix.suffix }}
-              TAG_COMMIT=commit-${{ github.event_name != 'pull_request' && github.sha || github.event.pull_request.head.sha }}${{ matrix.suffix }}
-              docker buildx imagetools create -t $REGISTRY_NAME/$REPOSITORY:$TAG_PR $REGISTRY_NAME/$REPOSITORY:$TAG_OLD
-              docker buildx imagetools create -t $REGISTRY_NAME/$REPOSITORY:$TAG_COMMIT $REGISTRY_NAME/$REPOSITORY:$TAG_OLD
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      - name: Re-tag image
+        run: |
+          REGISTRY_NAME="ghcr.io"
+          REPOSITORY=${{ github.repository_owner }}/immich-machine-learning
+          TAG_OLD=main${{ matrix.suffix }}
+          TAG_PR=${{ github.event.number == 0 && github.ref_name ||  format('pr-{0}', github.event.number)  }}${{ matrix.suffix }}
+          TAG_COMMIT=commit-${{ github.event_name != 'pull_request' && github.sha || github.event.pull_request.head.sha }}${{ matrix.suffix }}
+          docker buildx imagetools create -t $REGISTRY_NAME/$REPOSITORY:$TAG_PR $REGISTRY_NAME/$REPOSITORY:$TAG_OLD
+          docker buildx imagetools create -t $REGISTRY_NAME/$REPOSITORY:$TAG_COMMIT $REGISTRY_NAME/$REPOSITORY:$TAG_OLD
 
   retag_server:
     name: Re-Tag Server
@@ -74,10 +74,10 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        suffix: [""]
+        suffix: ['']
     steps:
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
@@ -120,6 +120,11 @@ jobs:
             device: cuda
             suffix: -cuda
 
+          - platform: linux/amd64
+            runner: mich
+            device: rocm
+            suffix: -rocm
+
           - platform: linux/amd64
             runner: ubuntu-latest
             device: openvino
@@ -130,6 +135,11 @@ jobs:
             device: armnn
             suffix: -armnn
 
+          - platform: linux/arm64
+            runner: ubuntu-24.04-arm
+            device: rknn
+            suffix: -rknn
+
     steps:
       - name: Prepare
         run: |
@@ -137,13 +147,13 @@ jobs:
           echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3.10.0
+        uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3.10.0
 
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           registry: ghcr.io
@@ -170,7 +180,7 @@ jobs:
 
       - name: Build and push image
         id: build
-        uses: docker/build-push-action@v6.15.0
+        uses: docker/build-push-action@471d1dc4e07e5cdedd4c2171150001c434f0b7a4 # v6.15.0
         with:
           context: ${{ env.context }}
           file: ${{ env.file }}
@@ -195,7 +205,7 @@ jobs:
           touch "${{ runner.temp }}/digests/${digest#sha256:}"
 
       - name: Upload digest
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
         with:
           name: ml-digests-${{ matrix.device }}-${{ env.PLATFORM_PAIR }}
           path: ${{ runner.temp }}/digests/*
@@ -215,15 +225,19 @@ jobs:
           - device: cpu
           - device: cuda
             suffix: -cuda
+          - device: rocm
+            suffix: -rocm
           - device: openvino
             suffix: -openvino
           - device: armnn
             suffix: -armnn
+          - device: rknn
+            suffix: -rknn
     needs:
       - build_and_push_ml
     steps:
       - name: Download digests
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@95815c38cf2ff2164869cbab79da8d1f422bc89e # v4
         with:
           path: ${{ runner.temp }}/digests
           pattern: ml-digests-${{ matrix.device }}-*
@@ -231,26 +245,26 @@ jobs:
 
       - name: Login to Docker Hub
         if: ${{ github.event_name == 'release' }}
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKERHUB_TOKEN }}
 
       - name: Login to GHCR
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3
 
       - name: Generate docker image tags
         id: meta
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@902fa8ec7d6ecbf8d84d538b9b233a880e428804 # v5
         env:
-          DOCKER_METADATA_PR_HEAD_SHA: "true"
+          DOCKER_METADATA_PR_HEAD_SHA: 'true'
         with:
           flavor: |
             # Disable latest tag
@@ -301,13 +315,13 @@ jobs:
           echo "PLATFORM_PAIR=${platform//\//-}" >> $GITHUB_ENV
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3
 
       - name: Login to GitHub Container Registry
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           registry: ghcr.io
@@ -334,7 +348,7 @@ jobs:
 
       - name: Build and push image
         id: build
-        uses: docker/build-push-action@v6.15.0
+        uses: docker/build-push-action@471d1dc4e07e5cdedd4c2171150001c434f0b7a4 # v6.15.0
         with:
           context: ${{ env.context }}
           file: ${{ env.file }}
@@ -359,7 +373,7 @@ jobs:
           touch "${{ runner.temp }}/digests/${digest#sha256:}"
 
       - name: Upload digest
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
         with:
           name: server-digests-${{ env.PLATFORM_PAIR }}
           path: ${{ runner.temp }}/digests/*
@@ -377,7 +391,7 @@ jobs:
       - build_and_push_server
     steps:
       - name: Download digests
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@95815c38cf2ff2164869cbab79da8d1f422bc89e # v4
         with:
           path: ${{ runner.temp }}/digests
           pattern: server-digests-*
@@ -385,26 +399,26 @@ jobs:
 
       - name: Login to Docker Hub
         if: ${{ github.event_name == 'release' }}
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKERHUB_TOKEN }}
 
       - name: Login to GHCR
-        uses: docker/login-action@v3
+        uses: docker/login-action@74a5d142397b4f367a81961eba4e8cd7edddf772 # v3
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@b5ca514318bd6ebac0fb2aedd5d36ec1b5c232a2 # v3
 
       - name: Generate docker image tags
         id: meta
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@902fa8ec7d6ecbf8d84d538b9b233a880e428804 # v5
         env:
-          DOCKER_METADATA_PR_HEAD_SHA: "true"
+          DOCKER_METADATA_PR_HEAD_SHA: 'true'
         with:
           flavor: |
             # Disable latest tag

.github/workflows/docs-build.yml

@@ -3,7 +3,6 @@ on:
   push:
     branches: [main]
   pull_request:
-    branches: [main]
   release:
     types: [published]
 
@@ -18,9 +17,9 @@ jobs:
       should_run: ${{ steps.found_paths.outputs.docs == 'true' ||  steps.should_force.outputs.should_force == 'true' }}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - id: found_paths
-        uses: dorny/paths-filter@v3
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3
         with:
           filters: |
             docs:
@@ -42,10 +41,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './docs/.nvmrc'
 
@@ -59,7 +58,7 @@ jobs:
         run: npm run build
 
       - name: Upload build output
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4
         with:
           name: docs-build-output
           path: docs/build/

.github/workflows/docs-deploy.yml

@@ -1,7 +1,7 @@
 name: Docs deploy
 on:
   workflow_run:
-    workflows: ["Docs build"]
+    workflows: ['Docs build']
     types:
       - completed
 
@@ -17,7 +17,7 @@ jobs:
         run: echo 'The triggering workflow did not succeed' && exit 1
       - name: Get artifact
         id: get-artifact
-        uses: actions/github-script@v7
+        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
         with:
           script: |
             let allArtifacts = await github.rest.actions.listWorkflowRunArtifacts({
@@ -35,7 +35,7 @@ jobs:
             return { found: true, id: matchArtifact.id };
       - name: Determine deploy parameters
         id: parameters
-        uses: actions/github-script@v7
+        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
         with:
           script: |
             const eventType = context.payload.workflow_run.event;
@@ -98,11 +98,11 @@ jobs:
     if: ${{ fromJson(needs.checks.outputs.artifact).found && fromJson(needs.checks.outputs.parameters).shouldDeploy }}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Load parameters
         id: parameters
-        uses: actions/github-script@v7
+        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
         with:
           script: |
             const json = `${{ needs.checks.outputs.parameters }}`;
@@ -115,7 +115,7 @@ jobs:
           echo "Starting docs deployment for ${{ steps.parameters.outputs.event }} ${{ steps.parameters.outputs.name }}"
 
       - name: Download artifact
-        uses: actions/github-script@v7
+        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
         with:
           script: |
             let artifact = ${{ needs.checks.outputs.artifact }};
@@ -138,12 +138,12 @@ jobs:
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
           CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
           TF_STATE_POSTGRES_CONN_STR: ${{ secrets.TF_STATE_POSTGRES_CONN_STR }}
-        uses: gruntwork-io/terragrunt-action@v2
+        uses: gruntwork-io/terragrunt-action@9559e51d05873b0ea467c42bbabcb5c067642ccc # v2
         with:
-          tg_version: "0.58.12"
-          tofu_version: "1.7.1"
-          tg_dir: "deployment/modules/cloudflare/docs"
-          tg_command: "apply"
+          tg_version: '0.58.12'
+          tofu_version: '1.7.1'
+          tg_dir: 'deployment/modules/cloudflare/docs'
+          tg_command: 'apply'
 
       - name: Deploy Docs Subdomain Output
         id: docs-output
@@ -153,12 +153,12 @@ jobs:
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
           CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
           TF_STATE_POSTGRES_CONN_STR: ${{ secrets.TF_STATE_POSTGRES_CONN_STR }}
-        uses: gruntwork-io/terragrunt-action@v2
+        uses: gruntwork-io/terragrunt-action@9559e51d05873b0ea467c42bbabcb5c067642ccc # v2
         with:
-          tg_version: "0.58.12"
-          tofu_version: "1.7.1"
-          tg_dir: "deployment/modules/cloudflare/docs"
-          tg_command: "output -json"
+          tg_version: '0.58.12'
+          tofu_version: '1.7.1'
+          tg_dir: 'deployment/modules/cloudflare/docs'
+          tg_command: 'output -json'
 
       - name: Output Cleaning
         id: clean
@@ -167,13 +167,13 @@ jobs:
           echo "output=$TG_OUT" >> $GITHUB_OUTPUT
 
       - name: Publish to Cloudflare Pages
-        uses: cloudflare/pages-action@v1
+        uses: cloudflare/pages-action@f0a1cd58cd66095dee69bfa18fa5efd1dde93bca # v1
         with:
           apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN_PAGES_UPLOAD }}
           accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
           projectName: ${{ fromJson(steps.clean.outputs.output).pages_project_name.value }}
-          workingDirectory: "docs"
-          directory: "build"
+          workingDirectory: 'docs'
+          directory: 'build'
           branch: ${{ steps.parameters.outputs.name }}
           wranglerVersion: '3'
 
@@ -184,7 +184,7 @@ jobs:
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
           CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
           TF_STATE_POSTGRES_CONN_STR: ${{ secrets.TF_STATE_POSTGRES_CONN_STR }}
-        uses: gruntwork-io/terragrunt-action@v2
+        uses: gruntwork-io/terragrunt-action@9559e51d05873b0ea467c42bbabcb5c067642ccc # v2
         with:
           tg_version: '0.58.12'
           tofu_version: '1.7.1'
@@ -192,7 +192,7 @@ jobs:
           tg_command: 'apply'
 
       - name: Comment
-        uses: actions-cool/maintain-one-comment@v3
+        uses: actions-cool/maintain-one-comment@4b2dbf086015f892dcb5e8c1106f5fccd6c1476b # v3
         if: ${{ steps.parameters.outputs.event == 'pr' }}
         with:
           number: ${{ fromJson(needs.checks.outputs.parameters).pr_number }}

.github/workflows/docs-destroy.yml

@@ -9,24 +9,24 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Destroy Docs Subdomain
         env:
-          TF_VAR_prefix_name: "pr-${{ github.event.number }}"
-          TF_VAR_prefix_event_type: "pr"
+          TF_VAR_prefix_name: 'pr-${{ github.event.number }}'
+          TF_VAR_prefix_event_type: 'pr'
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
           CLOUDFLARE_ACCOUNT_ID: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
           TF_STATE_POSTGRES_CONN_STR: ${{ secrets.TF_STATE_POSTGRES_CONN_STR }}
-        uses: gruntwork-io/terragrunt-action@v2
+        uses: gruntwork-io/terragrunt-action@9559e51d05873b0ea467c42bbabcb5c067642ccc # v2
         with:
-          tg_version: "0.58.12"
-          tofu_version: "1.7.1"
-          tg_dir: "deployment/modules/cloudflare/docs"
-          tg_command: "destroy -refresh=false"
+          tg_version: '0.58.12'
+          tofu_version: '1.7.1'
+          tg_dir: 'deployment/modules/cloudflare/docs'
+          tg_command: 'destroy -refresh=false'
 
       - name: Comment
-        uses: actions-cool/maintain-one-comment@v3
+        uses: actions-cool/maintain-one-comment@4b2dbf086015f892dcb5e8c1106f5fccd6c1476b # v3
         with:
           number: ${{ github.event.number }}
           delete: true

.github/workflows/fix-format.yml

@@ -13,19 +13,19 @@ jobs:
     steps:
       - name: Generate a token
         id: generate-token
-        uses: actions/create-github-app-token@v1
+        uses: actions/create-github-app-token@af35edadc00be37caa72ed9f3e6d5f7801bfdf09 # v1
         with:
           app-id: ${{ secrets.PUSH_O_MATIC_APP_ID }}
           private-key: ${{ secrets.PUSH_O_MATIC_APP_KEY }}
 
       - name: 'Checkout'
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           ref: ${{ github.event.pull_request.head.ref }}
           token: ${{ steps.generate-token.outputs.token }}
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './server/.nvmrc'
 
@@ -33,13 +33,13 @@ jobs:
         run: make install-all && make format-all
 
       - name: Commit and push
-        uses: EndBug/add-and-commit@v9
+        uses: EndBug/add-and-commit@a94899bca583c204427a224a7af87c02f9b325d5 # v9
         with:
           default_author: github_actions
           message: 'chore: fix formatting'
 
       - name: Remove label
-        uses: actions/github-script@v7
+        uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
         if: always()
         with:
           script: |
@@ -49,4 +49,3 @@ jobs:
               repo: context.repo.repo,
               name: 'fix:formatting'
             })
-

.github/workflows/pr-label-validation.yml

@@ -12,11 +12,11 @@ jobs:
       pull-requests: write
     steps:
       - name: Require PR to have a changelog label
-        uses: mheap/github-action-required-labels@v5
+        uses: mheap/github-action-required-labels@388fd6af37b34cdfe5a23b37060e763217e58b03 # v5
         with:
           mode: exactly
           count: 1
           use_regex: true
-          labels: "changelog:.*"
+          labels: 'changelog:.*'
           add_comment: true
-          message: "Label error. Requires {{errorString}} {{count}} of: {{ provided }}. Found: {{ applied }}. A maintainer will add the required label."
+          message: 'Label error. Requires {{errorString}} {{count}} of: {{ provided }}. Found: {{ applied }}. A maintainer will add the required label.'

.github/workflows/pr-labeler.yml

@@ -1,6 +1,6 @@
-name: "Pull Request Labeler"
+name: 'Pull Request Labeler'
 on:
-- pull_request_target
+  - pull_request_target
 
 jobs:
   labeler:
@@ -9,4 +9,4 @@ jobs:
       pull-requests: write
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/labeler@v5
+      - uses: actions/labeler@8558fd74291d67161a8a78ce36a881fa63b766a9 # v5

.github/workflows/pr-require-conventional-commit.yml

@@ -9,7 +9,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: PR Conventional Commit Validation
-        uses:  ytanikin/PRConventionalCommits@1.3.0
+        uses: ytanikin/PRConventionalCommits@1.3.0
         with:
           task_types: '["feat","fix","docs","test","ci","refactor","perf","chore","revert"]'
           add_label: 'false'

.github/workflows/prepare-release.yml

@@ -31,25 +31,25 @@ jobs:
     steps:
       - name: Generate a token
         id: generate-token
-        uses: actions/create-github-app-token@v1
+        uses: actions/create-github-app-token@af35edadc00be37caa72ed9f3e6d5f7801bfdf09 # v1
         with:
           app-id: ${{ secrets.PUSH_O_MATIC_APP_ID }}
           private-key: ${{ secrets.PUSH_O_MATIC_APP_KEY }}
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           token: ${{ steps.generate-token.outputs.token }}
 
       - name: Install uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@f94ec6bedd8674c4426838e6b50417d36b6ab231 # v5
 
       - name: Bump version
         run: misc/release/pump-version.sh -s "${{ inputs.serverBump }}" -m "${{ inputs.mobileBump }}"
 
       - name: Commit and tag
         id: push-tag
-        uses: EndBug/add-and-commit@v9
+        uses: EndBug/add-and-commit@a94899bca583c204427a224a7af87c02f9b325d5 # v9
         with:
           default_author: github_actions
           message: 'chore: version ${{ env.IMMICH_VERSION }}'
@@ -70,23 +70,23 @@ jobs:
     steps:
       - name: Generate a token
         id: generate-token
-        uses: actions/create-github-app-token@v1
+        uses: actions/create-github-app-token@af35edadc00be37caa72ed9f3e6d5f7801bfdf09 # v1
         with:
           app-id: ${{ secrets.PUSH_O_MATIC_APP_ID }}
           private-key: ${{ secrets.PUSH_O_MATIC_APP_KEY }}
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           token: ${{ steps.generate-token.outputs.token }}
 
       - name: Download APK
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@95815c38cf2ff2164869cbab79da8d1f422bc89e # v4
         with:
           name: release-apk-signed
 
       - name: Create draft release
-        uses: softprops/action-gh-release@v2
+        uses: softprops/action-gh-release@c95fe1489396fe8a9eb87c0abf8aa5b2ef267fda # v2
         with:
           draft: true
           tag_name: ${{ env.IMMICH_VERSION }}

.github/workflows/preview-label.yaml

@@ -11,10 +11,10 @@ jobs:
     permissions:
       pull-requests: write
     steps:
-      - uses: mshick/add-pr-comment@v2
+      - uses: mshick/add-pr-comment@b8f338c590a895d50bcbfa6c5859251edc8952fc # v2
         with:
-          message-id: "preview-status"
-          message: "Deploying preview environment to https://pr-${{ github.event.pull_request.number }}.preview.internal.immich.cloud/"
+          message-id: 'preview-status'
+          message: 'Deploying preview environment to https://pr-${{ github.event.pull_request.number }}.preview.internal.immich.cloud/'
 
   remove-label:
     runs-on: ubuntu-latest
@@ -22,7 +22,7 @@ jobs:
     permissions:
       pull-requests: write
     steps:
-      - uses: actions/github-script@v7
+      - uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7
         with:
           script: |
             github.rest.issues.removeLabel({

.github/workflows/sdk.yml

@@ -15,9 +15,9 @@ jobs:
       run:
         working-directory: ./open-api/typescript-sdk
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       # Setup .npmrc file to publish to npm
-      - uses: actions/setup-node@v4
+      - uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './open-api/typescript-sdk/.nvmrc'
           registry-url: 'https://registry.npmjs.org'

.github/workflows/static_analysis.yml

@@ -16,9 +16,9 @@ jobs:
       should_run: ${{ steps.found_paths.outputs.mobile == 'true' || steps.should_force.outputs.should_force == 'true' }}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - id: found_paths
-        uses: dorny/paths-filter@v3
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3
         with:
           filters: |
             mobile:
@@ -38,10 +38,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Flutter SDK
-        uses: subosito/flutter-action@v2
+        uses: subosito/flutter-action@44ac965b96f18d999802d4b807e3256d5a3f9fa1 # v2
         with:
           channel: 'stable'
           flutter-version-file: ./mobile/pubspec.yaml
@@ -55,7 +55,7 @@ jobs:
         working-directory: ./mobile
 
       - name: Find file changes
-        uses: tj-actions/verify-changed-files@v20
+        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
         id: verify-changed-files
         with:
           files: |

.github/workflows/test.yml

@@ -21,11 +21,12 @@ jobs:
       should_run_ml: ${{ steps.found_paths.outputs.machine-learning == 'true' || steps.should_force.outputs.should_force == 'true' }}
       should_run_e2e_web: ${{ steps.found_paths.outputs.e2e == 'true' || steps.found_paths.outputs.web == 'true' || steps.should_force.outputs.should_force == 'true' }}
       should_run_e2e_server_cli: ${{ steps.found_paths.outputs.e2e == 'true' || steps.found_paths.outputs.server == 'true' || steps.found_paths.outputs.cli == 'true' || steps.should_force.outputs.should_force == 'true' }}
+      should_run_.github: ${{ steps.found_paths.outputs['.github'] == 'true' || steps.should_force.outputs.should_force == 'true' }} # redundant to have should_force but if someone changes the trigger then this won't have to be changed
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - id: found_paths
-        uses: dorny/paths-filter@v3
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3
         with:
           filters: |
             web:
@@ -45,6 +46,8 @@ jobs:
               - 'machine-learning/**'
             workflow:
               - '.github/workflows/test.yml'
+            .github:
+              - '.github/**'
 
       - name: Check if we should force jobs to run
         id: should_force
@@ -61,10 +64,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './server/.nvmrc'
 
@@ -98,10 +101,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './cli/.nvmrc'
 
@@ -139,10 +142,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './cli/.nvmrc'
 
@@ -173,10 +176,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './web/.nvmrc'
 
@@ -218,10 +221,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './e2e/.nvmrc'
 
@@ -257,10 +260,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './server/.nvmrc'
 
@@ -282,12 +285,12 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           submodules: 'recursive'
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './e2e/.nvmrc'
 
@@ -324,12 +327,12 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
         with:
           submodules: 'recursive'
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './e2e/.nvmrc'
 
@@ -360,9 +363,9 @@ jobs:
     if: ${{ needs.pre-job.outputs.should_run_mobile == 'true' }}
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - name: Setup Flutter SDK
-        uses: subosito/flutter-action@v2
+        uses: subosito/flutter-action@44ac965b96f18d999802d4b807e3256d5a3f9fa1 # v2
         with:
           channel: 'stable'
           flutter-version-file: ./mobile/pubspec.yaml
@@ -379,10 +382,10 @@ jobs:
       run:
         working-directory: ./machine-learning
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - name: Install uv
-        uses: astral-sh/setup-uv@v5
-      - uses: actions/setup-python@v5
+        uses: astral-sh/setup-uv@f94ec6bedd8674c4426838e6b50417d36b6ab231 # v5
+      - uses: actions/setup-python@42375524e23c412d93fb67b49958b491fce71c38 # v5
         # TODO: add caching when supported (https://github.com/actions/setup-python/pull/818)
         # with:
         #   python-version: 3.11
@@ -403,11 +406,36 @@ jobs:
         run: |
           uv run pytest app --cov=app --cov-report term-missing
 
+  github-files-formatting:
+    name: .github Files Formatting
+    needs: pre-job
+    if: ${{ needs.pre-job.outputs['should_run_.github'] == 'true' }}
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: ./.github
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Setup Node
+        uses: actions/setup-node@v4
+        with:
+          node-version-file: './.github/.nvmrc'
+
+      - name: Run npm install
+        run: npm ci
+
+      - name: Run formatter
+        run: npm run format
+        if: ${{ !cancelled() }}
+
   shellcheck:
     name: ShellCheck
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - name: Run ShellCheck
         uses: ludeeus/action-shellcheck@master
         with:
@@ -421,10 +449,10 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './server/.nvmrc'
 
@@ -438,7 +466,7 @@ jobs:
         run: make open-api
 
       - name: Find file changes
-        uses: tj-actions/verify-changed-files@v20
+        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
         id: verify-changed-files
         with:
           files: |
@@ -476,10 +504,10 @@ jobs:
 
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
 
       - name: Setup Node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@cdca7365b2dadb8aad0a33bc7601856ffabcc48e # v4
         with:
           node-version-file: './server/.nvmrc'
 
@@ -500,7 +528,7 @@ jobs:
         run: npm run typeorm:migrations:generate ./src/migrations/TestMigration
 
       - name: Find file changes
-        uses: tj-actions/verify-changed-files@v20
+        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
         id: verify-changed-files
         with:
           files: |
@@ -519,7 +547,7 @@ jobs:
           DB_URL: postgres://postgres:postgres@localhost:5432/immich
 
       - name: Find file changes
-        uses: tj-actions/verify-changed-files@v20
+        uses: tj-actions/verify-changed-files@6ed7632824d235029086612d4330d659005af687 # v20
         id: verify-changed-sql-files
         with:
           files: |

.github/workflows/weblate-lock.yml

@@ -11,22 +11,22 @@ jobs:
       should_run: ${{ steps.found_paths.outputs.i18n == 'true' && github.head_ref != 'chore/translations'}}
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4
       - id: found_paths
-        uses: dorny/paths-filter@v3
+        uses: dorny/paths-filter@de90cc6fb38fc0963ad72b210f1f284cd68cea36 # v3
         with:
           filters: |
             i18n:
               - 'i18n/!(en)**\.json'
       - name: Debug
         run: |
-            echo "Should run: ${{ steps.found_paths.outputs.i18n == 'true' && github.head_ref != 'chore/translations'}}"
-            echo "Found i18n paths: ${{ steps.found_paths.outputs.i18n }}"
-            echo "Head ref: ${{ github.head_ref }}"
+          echo "Should run: ${{ steps.found_paths.outputs.i18n == 'true' && github.head_ref != 'chore/translations'}}"
+          echo "Found i18n paths: ${{ steps.found_paths.outputs.i18n }}"
+          echo "Head ref: ${{ github.head_ref }}"
 
   enforce-lock:
     name: Check Weblate Lock
-    needs: [ pre-job ]
+    needs: [pre-job]
     runs-on: ubuntu-latest
     if: ${{ needs.pre-job.outputs.should_run == 'true' }}
     steps:
@@ -36,7 +36,7 @@ jobs:
             exit 1
           fi
       - name: Find Pull Request
-        uses: juliangruber/find-pull-request-action@v1
+        uses: juliangruber/find-pull-request-action@48b6133aa6c826f267ebd33aa2d29470f9d9e7d0 # v1
         id: find-pr
         with:
           branch: chore/translations
@@ -45,7 +45,7 @@ jobs:
         run: exit 1
   success-check-lock:
     name: Weblate Lock Check Success
-    needs: [ enforce-lock ]
+    needs: [enforce-lock]
     runs-on: ubuntu-latest
     if: always()
     steps:

Makefile

@@ -39,7 +39,7 @@ attach-server:
 renovate:
   LOG_LEVEL=debug npx renovate --platform=local --repository-cache=reset
 
-MODULES = e2e server web cli sdk docs
+MODULES = e2e server web cli sdk docs .github
 
 audit-%:
 	npm --prefix $(subst sdk,open-api/typescript-sdk,$*) audit fix
@@ -77,14 +77,14 @@ test-medium:
 test-medium-dev:
 	docker exec -it immich_server /bin/sh -c "npm run test:medium"
 
-build-all: $(foreach M,$(filter-out e2e,$(MODULES)),build-$M) ;
+build-all: $(foreach M,$(filter-out e2e .github,$(MODULES)),build-$M) ;
 install-all: $(foreach M,$(MODULES),install-$M) ;
-check-all: $(foreach M,$(filter-out sdk cli docs,$(MODULES)),check-$M) ;
-lint-all: $(foreach M,$(filter-out sdk docs,$(MODULES)),lint-$M) ;
+check-all: $(foreach M,$(filter-out sdk cli docs .github,$(MODULES)),check-$M) ;
+lint-all: $(foreach M,$(filter-out sdk docs .github,$(MODULES)),lint-$M) ;
 format-all: $(foreach M,$(filter-out sdk,$(MODULES)),format-$M) ;
 audit-all:  $(foreach M,$(MODULES),audit-$M) ;
 hygiene-all: lint-all format-all check-all sql audit-all;
-test-all: $(foreach M,$(filter-out sdk docs,$(MODULES)),test-$M) ;
+test-all: $(foreach M,$(filter-out sdk docs .github,$(MODULES)),test-$M) ;
 
 clean:
 	find . -name "node_modules" -type d -prune -exec rm -rf '{}' +

cli/package-lock.json

@@ -1,12 +1,12 @@
 {
   "name": "@immich/cli",
-  "version": "2.2.53",
+  "version": "2.2.54",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
       "name": "@immich/cli",
-      "version": "2.2.53",
+      "version": "2.2.54",
       "license": "GNU Affero General Public License version 3",
       "dependencies": {
         "chokidar": "^4.0.3",
@@ -27,7 +27,7 @@
         "@types/lodash-es": "^4.17.12",
         "@types/micromatch": "^4.0.9",
         "@types/mock-fs": "^4.13.1",
-        "@types/node": "^22.13.9",
+        "@types/node": "^22.13.10",
         "@typescript-eslint/eslint-plugin": "^8.15.0",
         "@typescript-eslint/parser": "^8.15.0",
         "@vitest/coverage-v8": "^3.0.0",
@@ -55,14 +55,14 @@
     },
     "../open-api/typescript-sdk": {
       "name": "@immich/sdk",
-      "version": "1.129.0",
+      "version": "1.130.0",
       "dev": true,
       "license": "GNU Affero General Public License version 3",
       "dependencies": {
         "@oazapfts/runtime": "^1.0.2"
       },
       "devDependencies": {
-        "@types/node": "^22.13.9",
+        "@types/node": "^22.13.10",
         "typescript": "^5.3.3"
       }
     },
@@ -809,6 +809,16 @@
         "node": "*"
       }
     },
+    "node_modules/@eslint/config-helpers": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/@eslint/config-helpers/-/config-helpers-0.1.0.tgz",
+      "integrity": "sha512-kLrdPDJE1ckPo94kmPPf9Hfd0DU0Jw6oKYrhe+pwSC0iTUInmTa+w6fw8sGgcfkFJGNdWOUeOaDM4quW4a7OkA==",
+      "dev": true,
+      "license": "Apache-2.0",
+      "engines": {
+        "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
+      }
+    },
     "node_modules/@eslint/core": {
       "version": "0.12.0",
       "resolved": "https://registry.npmjs.org/@eslint/core/-/core-0.12.0.tgz",
@@ -884,9 +894,9 @@
       }
     },
     "node_modules/@eslint/js": {
-      "version": "9.21.0",
-      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.21.0.tgz",
-      "integrity": "sha512-BqStZ3HX8Yz6LvsF5ByXYrtigrV5AXADWLAGc7PH/1SxOb7/FIYYMszZZWiUou/GB9P2lXWk2SV4d+Z8h0nknw==",
+      "version": "9.22.0",
+      "resolved": "https://registry.npmjs.org/@eslint/js/-/js-9.22.0.tgz",
+      "integrity": "sha512-vLFajx9o8d1/oL2ZkpMYbkLv8nDB6yaIwFNt7nI4+I80U/z03SxmfOMsLbvWr3p7C+Wnoh//aOu2pQW8cS0HCQ==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -1518,17 +1528,17 @@
       "dev": true
     },
     "node_modules/@typescript-eslint/eslint-plugin": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.25.0.tgz",
-      "integrity": "sha512-VM7bpzAe7JO/BFf40pIT1lJqS/z1F8OaSsUB3rpFJucQA4cOSuH2RVVVkFULN+En0Djgr29/jb4EQnedUo95KA==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.26.1.tgz",
+      "integrity": "sha512-2X3mwqsj9Bd3Ciz508ZUtoQQYpOhU/kWoUqIf49H8Z0+Vbh6UF/y0OEYp0Q0axOGzaBGs7QxRwq0knSQ8khQNA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "@eslint-community/regexpp": "^4.10.0",
-        "@typescript-eslint/scope-manager": "8.25.0",
-        "@typescript-eslint/type-utils": "8.25.0",
-        "@typescript-eslint/utils": "8.25.0",
-        "@typescript-eslint/visitor-keys": "8.25.0",
+        "@typescript-eslint/scope-manager": "8.26.1",
+        "@typescript-eslint/type-utils": "8.26.1",
+        "@typescript-eslint/utils": "8.26.1",
+        "@typescript-eslint/visitor-keys": "8.26.1",
         "graphemer": "^1.4.0",
         "ignore": "^5.3.1",
         "natural-compare": "^1.4.0",
@@ -1544,20 +1554,20 @@
       "peerDependencies": {
         "@typescript-eslint/parser": "^8.0.0 || ^8.0.0-alpha.0",
         "eslint": "^8.57.0 || ^9.0.0",
-        "typescript": ">=4.8.4 <5.8.0"
+        "typescript": ">=4.8.4 <5.9.0"
       }
     },
     "node_modules/@typescript-eslint/parser": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-8.25.0.tgz",
-      "integrity": "sha512-4gbs64bnbSzu4FpgMiQ1A+D+urxkoJk/kqlDJ2W//5SygaEiAP2B4GoS7TEdxgwol2el03gckFV9lJ4QOMiiHg==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/parser/-/parser-8.26.1.tgz",
+      "integrity": "sha512-w6HZUV4NWxqd8BdeFf81t07d7/YV9s7TCWrQQbG5uhuvGUAW+fq1usZ1Hmz9UPNLniFnD8GLSsDpjP0hm1S4lQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/scope-manager": "8.25.0",
-        "@typescript-eslint/types": "8.25.0",
-        "@typescript-eslint/typescript-estree": "8.25.0",
-        "@typescript-eslint/visitor-keys": "8.25.0",
+        "@typescript-eslint/scope-manager": "8.26.1",
+        "@typescript-eslint/types": "8.26.1",
+        "@typescript-eslint/typescript-estree": "8.26.1",
+        "@typescript-eslint/visitor-keys": "8.26.1",
         "debug": "^4.3.4"
       },
       "engines": {
@@ -1569,18 +1579,18 @@
       },
       "peerDependencies": {
         "eslint": "^8.57.0 || ^9.0.0",
-        "typescript": ">=4.8.4 <5.8.0"
+        "typescript": ">=4.8.4 <5.9.0"
       }
     },
     "node_modules/@typescript-eslint/scope-manager": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.25.0.tgz",
-      "integrity": "sha512-6PPeiKIGbgStEyt4NNXa2ru5pMzQ8OYKO1hX1z53HMomrmiSB+R5FmChgQAP1ro8jMtNawz+TRQo/cSXrauTpg==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/scope-manager/-/scope-manager-8.26.1.tgz",
+      "integrity": "sha512-6EIvbE5cNER8sqBu6V7+KeMZIC1664d2Yjt+B9EWUXrsyWpxx4lEZrmvxgSKRC6gX+efDL/UY9OpPZ267io3mg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/types": "8.25.0",
-        "@typescript-eslint/visitor-keys": "8.25.0"
+        "@typescript-eslint/types": "8.26.1",
+        "@typescript-eslint/visitor-keys": "8.26.1"
       },
       "engines": {
         "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -1591,14 +1601,14 @@
       }
     },
     "node_modules/@typescript-eslint/type-utils": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.25.0.tgz",
-      "integrity": "sha512-d77dHgHWnxmXOPJuDWO4FDWADmGQkN5+tt6SFRZz/RtCWl4pHgFl3+WdYCn16+3teG09DY6XtEpf3gGD0a186g==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/type-utils/-/type-utils-8.26.1.tgz",
+      "integrity": "sha512-Kcj/TagJLwoY/5w9JGEFV0dclQdyqw9+VMndxOJKtoFSjfZhLXhYjzsQEeyza03rwHx2vFEGvrJWJBXKleRvZg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/typescript-estree": "8.25.0",
-        "@typescript-eslint/utils": "8.25.0",
+        "@typescript-eslint/typescript-estree": "8.26.1",
+        "@typescript-eslint/utils": "8.26.1",
         "debug": "^4.3.4",
         "ts-api-utils": "^2.0.1"
       },
@@ -1611,13 +1621,13 @@
       },
       "peerDependencies": {
         "eslint": "^8.57.0 || ^9.0.0",
-        "typescript": ">=4.8.4 <5.8.0"
+        "typescript": ">=4.8.4 <5.9.0"
       }
     },
     "node_modules/@typescript-eslint/types": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.25.0.tgz",
-      "integrity": "sha512-+vUe0Zb4tkNgznQwicsvLUJgZIRs6ITeWSCclX1q85pR1iOiaj+4uZJIUp//Z27QWu5Cseiw3O3AR8hVpax7Aw==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/types/-/types-8.26.1.tgz",
+      "integrity": "sha512-n4THUQW27VmQMx+3P+B0Yptl7ydfceUj4ON/AQILAASwgYdZ/2dhfymRMh5egRUrvK5lSmaOm77Ry+lmXPOgBQ==",
       "dev": true,
       "license": "MIT",
       "engines": {
@@ -1629,14 +1639,14 @@
       }
     },
     "node_modules/@typescript-eslint/typescript-estree": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.25.0.tgz",
-      "integrity": "sha512-ZPaiAKEZ6Blt/TPAx5Ot0EIB/yGtLI2EsGoY6F7XKklfMxYQyvtL+gT/UCqkMzO0BVFHLDlzvFqQzurYahxv9Q==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/typescript-estree/-/typescript-estree-8.26.1.tgz",
+      "integrity": "sha512-yUwPpUHDgdrv1QJ7YQal3cMVBGWfnuCdKbXw1yyjArax3353rEJP1ZA+4F8nOlQ3RfS2hUN/wze3nlY+ZOhvoA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/types": "8.25.0",
-        "@typescript-eslint/visitor-keys": "8.25.0",
+        "@typescript-eslint/types": "8.26.1",
+        "@typescript-eslint/visitor-keys": "8.26.1",
         "debug": "^4.3.4",
         "fast-glob": "^3.3.2",
         "is-glob": "^4.0.3",
@@ -1652,20 +1662,20 @@
         "url": "https://opencollective.com/typescript-eslint"
       },
       "peerDependencies": {
-        "typescript": ">=4.8.4 <5.8.0"
+        "typescript": ">=4.8.4 <5.9.0"
       }
     },
     "node_modules/@typescript-eslint/utils": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.25.0.tgz",
-      "integrity": "sha512-syqRbrEv0J1wywiLsK60XzHnQe/kRViI3zwFALrNEgnntn1l24Ra2KvOAWwWbWZ1lBZxZljPDGOq967dsl6fkA==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/utils/-/utils-8.26.1.tgz",
+      "integrity": "sha512-V4Urxa/XtSUroUrnI7q6yUTD3hDtfJ2jzVfeT3VK0ciizfK2q/zGC0iDh1lFMUZR8cImRrep6/q0xd/1ZGPQpg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "@eslint-community/eslint-utils": "^4.4.0",
-        "@typescript-eslint/scope-manager": "8.25.0",
-        "@typescript-eslint/types": "8.25.0",
-        "@typescript-eslint/typescript-estree": "8.25.0"
+        "@typescript-eslint/scope-manager": "8.26.1",
+        "@typescript-eslint/types": "8.26.1",
+        "@typescript-eslint/typescript-estree": "8.26.1"
       },
       "engines": {
         "node": "^18.18.0 || ^20.9.0 || >=21.1.0"
@@ -1676,17 +1686,17 @@
       },
       "peerDependencies": {
         "eslint": "^8.57.0 || ^9.0.0",
-        "typescript": ">=4.8.4 <5.8.0"
+        "typescript": ">=4.8.4 <5.9.0"
       }
     },
     "node_modules/@typescript-eslint/visitor-keys": {
-      "version": "8.25.0",
-      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.25.0.tgz",
-      "integrity": "sha512-kCYXKAum9CecGVHGij7muybDfTS2sD3t0L4bJsEZLkyrXUImiCTq1M3LG2SRtOhiHFwMR9wAFplpT6XHYjTkwQ==",
+      "version": "8.26.1",
+      "resolved": "https://registry.npmjs.org/@typescript-eslint/visitor-keys/-/visitor-keys-8.26.1.tgz",
+      "integrity": "sha512-AjOC3zfnxd6S4Eiy3jwktJPclqhFHNyd8L6Gycf9WUPoKZpgM5PjkxY1X7uSy61xVpiJDhhk7XT2NVsN3ALTWg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@typescript-eslint/types": "8.25.0",
+        "@typescript-eslint/types": "8.26.1",
         "eslint-visitor-keys": "^4.2.0"
       },
       "engines": {
@@ -1711,9 +1721,9 @@
       }
     },
     "node_modules/@vitest/coverage-v8": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/coverage-v8/-/coverage-v8-3.0.7.tgz",
-      "integrity": "sha512-Av8WgBJLTrfLOer0uy3CxjlVuWK4CzcLBndW1Nm2vI+3hZ2ozHututkfc7Blu1u6waeQ7J8gzPK/AsBRnWA5mQ==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/coverage-v8/-/coverage-v8-3.0.8.tgz",
+      "integrity": "sha512-y7SAKsQirsEJ2F8bulBck4DoluhI2EEgTimHd6EEUgJBGKy9tC25cpywh1MH4FvDGoG2Unt7+asVd1kj4qOSAw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -1734,8 +1744,8 @@
         "url": "https://opencollective.com/vitest"
       },
       "peerDependencies": {
-        "@vitest/browser": "3.0.7",
-        "vitest": "3.0.7"
+        "@vitest/browser": "3.0.8",
+        "vitest": "3.0.8"
       },
       "peerDependenciesMeta": {
         "@vitest/browser": {
@@ -1744,14 +1754,14 @@
       }
     },
     "node_modules/@vitest/expect": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/expect/-/expect-3.0.7.tgz",
-      "integrity": "sha512-QP25f+YJhzPfHrHfYHtvRn+uvkCFCqFtW9CktfBxmB+25QqWsx7VB2As6f4GmwllHLDhXNHvqedwhvMmSnNmjw==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/expect/-/expect-3.0.8.tgz",
+      "integrity": "sha512-Xu6TTIavTvSSS6LZaA3EebWFr6tsoXPetOWNMOlc7LO88QVVBwq2oQWBoDiLCN6YTvNYsGSjqOO8CAdjom5DCQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/spy": "3.0.7",
-        "@vitest/utils": "3.0.7",
+        "@vitest/spy": "3.0.8",
+        "@vitest/utils": "3.0.8",
         "chai": "^5.2.0",
         "tinyrainbow": "^2.0.0"
       },
@@ -1760,13 +1770,13 @@
       }
     },
     "node_modules/@vitest/mocker": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-3.0.7.tgz",
-      "integrity": "sha512-qui+3BLz9Eonx4EAuR/i+QlCX6AUZ35taDQgwGkK/Tw6/WgwodSrjN1X2xf69IA/643ZX5zNKIn2svvtZDrs4w==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/mocker/-/mocker-3.0.8.tgz",
+      "integrity": "sha512-n3LjS7fcW1BCoF+zWZxG7/5XvuYH+lsFg+BDwwAz0arIwHQJFUEsKBQ0BLU49fCxuM/2HSeBPHQD8WjgrxMfow==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/spy": "3.0.7",
+        "@vitest/spy": "3.0.8",
         "estree-walker": "^3.0.3",
         "magic-string": "^0.30.17"
       },
@@ -1787,9 +1797,9 @@
       }
     },
     "node_modules/@vitest/pretty-format": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/pretty-format/-/pretty-format-3.0.7.tgz",
-      "integrity": "sha512-CiRY0BViD/V8uwuEzz9Yapyao+M9M008/9oMOSQydwbwb+CMokEq3XVaF3XK/VWaOK0Jm9z7ENhybg70Gtxsmg==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/pretty-format/-/pretty-format-3.0.8.tgz",
+      "integrity": "sha512-BNqwbEyitFhzYMYHUVbIvepOyeQOSFA/NeJMIP9enMntkkxLgOcgABH6fjyXG85ipTgvero6noreavGIqfJcIg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -1800,13 +1810,13 @@
       }
     },
     "node_modules/@vitest/runner": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/runner/-/runner-3.0.7.tgz",
-      "integrity": "sha512-WeEl38Z0S2ZcuRTeyYqaZtm4e26tq6ZFqh5y8YD9YxfWuu0OFiGFUbnxNynwLjNRHPsXyee2M9tV7YxOTPZl2g==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/runner/-/runner-3.0.8.tgz",
+      "integrity": "sha512-c7UUw6gEcOzI8fih+uaAXS5DwjlBaCJUo7KJ4VvJcjL95+DSR1kova2hFuRt3w41KZEFcOEiq098KkyrjXeM5w==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/utils": "3.0.7",
+        "@vitest/utils": "3.0.8",
         "pathe": "^2.0.3"
       },
       "funding": {
@@ -1814,13 +1824,13 @@
       }
     },
     "node_modules/@vitest/snapshot": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/snapshot/-/snapshot-3.0.7.tgz",
-      "integrity": "sha512-eqTUryJWQN0Rtf5yqCGTQWsCFOQe4eNz5Twsu21xYEcnFJtMU5XvmG0vgebhdLlrHQTSq5p8vWHJIeJQV8ovsA==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/snapshot/-/snapshot-3.0.8.tgz",
+      "integrity": "sha512-x8IlMGSEMugakInj44nUrLSILh/zy1f2/BgH0UeHpNyOocG18M9CWVIFBaXPt8TrqVZWmcPjwfG/ht5tnpba8A==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/pretty-format": "3.0.7",
+        "@vitest/pretty-format": "3.0.8",
         "magic-string": "^0.30.17",
         "pathe": "^2.0.3"
       },
@@ -1829,9 +1839,9 @@
       }
     },
     "node_modules/@vitest/spy": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/spy/-/spy-3.0.7.tgz",
-      "integrity": "sha512-4T4WcsibB0B6hrKdAZTM37ekuyFZt2cGbEGd2+L0P8ov15J1/HUsUaqkXEQPNAWr4BtPPe1gI+FYfMHhEKfR8w==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/spy/-/spy-3.0.8.tgz",
+      "integrity": "sha512-MR+PzJa+22vFKYb934CejhR4BeRpMSoxkvNoDit68GQxRLSf11aT6CTj3XaqUU9rxgWJFnqicN/wxw6yBRkI1Q==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -1842,13 +1852,13 @@
       }
     },
     "node_modules/@vitest/utils": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/@vitest/utils/-/utils-3.0.7.tgz",
-      "integrity": "sha512-xePVpCRfooFX3rANQjwoditoXgWb1MaFbzmGuPP59MK6i13mrnDw/yEIyJudLeW6/38mCNcwCiJIGmpDPibAIg==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/@vitest/utils/-/utils-3.0.8.tgz",
+      "integrity": "sha512-nkBC3aEhfX2PdtQI/QwAWp8qZWwzASsU4Npbcd5RdMPBSSLCpkZp52P3xku3s3uA0HIEhGvEcF8rNkBsz9dQ4Q==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/pretty-format": "3.0.7",
+        "@vitest/pretty-format": "3.0.8",
         "loupe": "^3.1.3",
         "tinyrainbow": "^2.0.0"
       },
@@ -2369,18 +2379,19 @@
       }
     },
     "node_modules/eslint": {
-      "version": "9.21.0",
-      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.21.0.tgz",
-      "integrity": "sha512-KjeihdFqTPhOMXTt7StsDxriV4n66ueuF/jfPNC3j/lduHwr/ijDwJMsF+wyMJethgiKi5wniIE243vi07d3pg==",
+      "version": "9.22.0",
+      "resolved": "https://registry.npmjs.org/eslint/-/eslint-9.22.0.tgz",
+      "integrity": "sha512-9V/QURhsRN40xuHXWjV64yvrzMjcz7ZyNoF2jJFmy9j/SLk0u1OLSZgXi28MrXjymnjEGSR80WCdab3RGMDveQ==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
         "@eslint-community/eslint-utils": "^4.2.0",
         "@eslint-community/regexpp": "^4.12.1",
         "@eslint/config-array": "^0.19.2",
+        "@eslint/config-helpers": "^0.1.0",
         "@eslint/core": "^0.12.0",
         "@eslint/eslintrc": "^3.3.0",
-        "@eslint/js": "9.21.0",
+        "@eslint/js": "9.22.0",
         "@eslint/plugin-kit": "^0.2.7",
         "@humanfs/node": "^0.16.6",
         "@humanwhocodes/module-importer": "^1.0.1",
@@ -2392,7 +2403,7 @@
         "cross-spawn": "^7.0.6",
         "debug": "^4.3.2",
         "escape-string-regexp": "^4.0.0",
-        "eslint-scope": "^8.2.0",
+        "eslint-scope": "^8.3.0",
         "eslint-visitor-keys": "^4.2.0",
         "espree": "^10.3.0",
         "esquery": "^1.5.0",
@@ -2429,13 +2440,13 @@
       }
     },
     "node_modules/eslint-config-prettier": {
-      "version": "10.0.2",
-      "resolved": "https://registry.npmjs.org/eslint-config-prettier/-/eslint-config-prettier-10.0.2.tgz",
-      "integrity": "sha512-1105/17ZIMjmCOJOPNfVdbXafLCLj3hPmkmB7dLgt7XsQ/zkxSuDerE/xgO3RxoHysR1N1whmquY0lSn2O0VLg==",
+      "version": "10.1.1",
+      "resolved": "https://registry.npmjs.org/eslint-config-prettier/-/eslint-config-prettier-10.1.1.tgz",
+      "integrity": "sha512-4EQQr6wXwS+ZJSzaR5ZCrYgLxqvUjdXctaEtBqHcbkW944B1NQyO4qpdHQbXBONfwxXdkAY81HH4+LUfrg+zPw==",
       "dev": true,
       "license": "MIT",
       "bin": {
-        "eslint-config-prettier": "build/bin/cli.js"
+        "eslint-config-prettier": "bin/cli.js"
       },
       "peerDependencies": {
         "eslint": ">=7.0.0"
@@ -2520,9 +2531,9 @@
       }
     },
     "node_modules/eslint-scope": {
-      "version": "8.2.0",
-      "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-8.2.0.tgz",
-      "integrity": "sha512-PHlWUfG6lvPc3yvP5A4PNyBL1W8fkDUccmI21JUu/+GKZBoH/W5u6usENXUrWFRsyoW5ACUjFGgAFQp5gUlb/A==",
+      "version": "8.3.0",
+      "resolved": "https://registry.npmjs.org/eslint-scope/-/eslint-scope-8.3.0.tgz",
+      "integrity": "sha512-pUNxi75F8MJ/GdeKtVLSbYg4ZI34J6C0C7sbL4YOp2exGwen7ZsuBqKzUhXd0qMQ362yET3z+uPwKeg/0C2XCQ==",
       "dev": true,
       "license": "BSD-2-Clause",
       "dependencies": {
@@ -3617,9 +3628,9 @@
       }
     },
     "node_modules/prettier": {
-      "version": "3.5.2",
-      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.5.2.tgz",
-      "integrity": "sha512-lc6npv5PH7hVqozBR7lkBNOGXV9vMwROAPlumdBkX0wTbbzPu/U1hk5yL8p2pt4Xoc+2mkT8t/sow2YrV/M5qg==",
+      "version": "3.5.3",
+      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.5.3.tgz",
+      "integrity": "sha512-QQtaxnoDJeAkDvDKWCLiwIXkTgRhwYDEQCghU9Z6q03iyek/rxRh/2lC3HB7P8sWT2xC/y5JDctPLBIGzHKbhw==",
       "dev": true,
       "license": "MIT",
       "bin": {
@@ -4278,9 +4289,9 @@
       }
     },
     "node_modules/typescript": {
-      "version": "5.7.3",
-      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.7.3.tgz",
-      "integrity": "sha512-84MVSjMEHP+FQRPy3pX9sTVV/INIex71s9TL2Gm5FG/WG1SqXeKyZ0k7/blY/4FdOzI12CBy1vGc4og/eus0fw==",
+      "version": "5.8.2",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.8.2.tgz",
+      "integrity": "sha512-aJn6wq13/afZp/jT9QZmwEjDqqvSGp1VT5GVg+f/t6/oVyrgXM6BY1h9BRh/O5p3PlUPAe+WuiEZOmb/49RqoQ==",
       "dev": true,
       "license": "Apache-2.0",
       "bin": {
@@ -4349,9 +4360,9 @@
       }
     },
     "node_modules/vite": {
-      "version": "6.2.0",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.0.tgz",
-      "integrity": "sha512-7dPxoo+WsT/64rDcwoOjk76XHj+TqNTIvHKcuMQ1k4/SeHDaQt5GFAeLYzrimZrMpn/O6DtdI03WUjdxuPM0oQ==",
+      "version": "6.2.1",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-6.2.1.tgz",
+      "integrity": "sha512-n2GnqDb6XPhlt9B8olZPrgMD/es/Nd1RdChF6CBD/fHW6pUyUTt2sQW2fPRX5GiD9XEa6+8A6A4f2vT6pSsE7Q==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -4421,9 +4432,9 @@
       }
     },
     "node_modules/vite-node": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.7.tgz",
-      "integrity": "sha512-2fX0QwX4GkkkpULXdT1Pf4q0tC1i1lFOyseKoonavXUNlQ77KpW2XqBGGNIm/J4Ows4KxgGJzDguYVPKwG/n5A==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/vite-node/-/vite-node-3.0.8.tgz",
+      "integrity": "sha512-6PhR4H9VGlcwXZ+KWCdMqbtG649xCPZqfI9j2PsK1FcXgEzro5bGHcVKFCTqPLaNKZES8Evqv4LwvZARsq5qlg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -4464,19 +4475,19 @@
       }
     },
     "node_modules/vitest": {
-      "version": "3.0.7",
-      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.7.tgz",
-      "integrity": "sha512-IP7gPK3LS3Fvn44x30X1dM9vtawm0aesAa2yBIZ9vQf+qB69NXC5776+Qmcr7ohUXIQuLhk7xQR0aSUIDPqavg==",
+      "version": "3.0.8",
+      "resolved": "https://registry.npmjs.org/vitest/-/vitest-3.0.8.tgz",
+      "integrity": "sha512-dfqAsNqRGUc8hB9OVR2P0w8PZPEckti2+5rdZip0WIz9WW0MnImJ8XiR61QhqLa92EQzKP2uPkzenKOAHyEIbA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "@vitest/expect": "3.0.7",
-        "@vitest/mocker": "3.0.7",
-        "@vitest/pretty-format": "^3.0.7",
-        "@vitest/runner": "3.0.7",
-        "@vitest/snapshot": "3.0.7",
-        "@vitest/spy": "3.0.7",
-        "@vitest/utils": "3.0.7",
+        "@vitest/expect": "3.0.8",
+        "@vitest/mocker": "3.0.8",
+        "@vitest/pretty-format": "^3.0.8",
+        "@vitest/runner": "3.0.8",
+        "@vitest/snapshot": "3.0.8",
+        "@vitest/spy": "3.0.8",
+        "@vitest/utils": "3.0.8",
         "chai": "^5.2.0",
         "debug": "^4.4.0",
         "expect-type": "^1.1.0",
@@ -4488,7 +4499,7 @@
         "tinypool": "^1.0.2",
         "tinyrainbow": "^2.0.0",
         "vite": "^5.0.0 || ^6.0.0",
-        "vite-node": "3.0.7",
+        "vite-node": "3.0.8",
         "why-is-node-running": "^2.3.0"
       },
       "bin": {
@@ -4504,8 +4515,8 @@
         "@edge-runtime/vm": "*",
         "@types/debug": "^4.1.12",
         "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0",
-        "@vitest/browser": "3.0.7",
-        "@vitest/ui": "3.0.7",
+        "@vitest/browser": "3.0.8",
+        "@vitest/ui": "3.0.8",
         "happy-dom": "*",
         "jsdom": "*"
       },
@@ -4534,9 +4545,9 @@
       }
     },
     "node_modules/vitest-fetch-mock": {
-      "version": "0.4.4",
-      "resolved": "https://registry.npmjs.org/vitest-fetch-mock/-/vitest-fetch-mock-0.4.4.tgz",
-      "integrity": "sha512-i2RNEAKBgnLWwj5DVz8ouzaHaPVg1xaYgAUmU5p+baJ149upnO+yJLPchAiY9ij8hf0PDkJVVke1pftBxmT05g==",
+      "version": "0.4.5",
+      "resolved": "https://registry.npmjs.org/vitest-fetch-mock/-/vitest-fetch-mock-0.4.5.tgz",
+      "integrity": "sha512-nhWdCQIGtaSEUVl96pMm0WggyDGPDv5FUy/Q9Hx3cs2RGmh3Q/uRsLClGbdG3kXBkJ3br5yTUjB2MeW25TwdOA==",
       "dev": true,
       "license": "MIT",
       "engines": {

cli/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@immich/cli",
-  "version": "2.2.53",
+  "version": "2.2.54",
   "description": "Command Line Interface (CLI) for Immich",
   "type": "module",
   "exports": "./dist/index.js",
@@ -21,7 +21,7 @@
     "@types/lodash-es": "^4.17.12",
     "@types/micromatch": "^4.0.9",
     "@types/mock-fs": "^4.13.1",
-    "@types/node": "^22.13.9",
+    "@types/node": "^22.13.10",
     "@typescript-eslint/eslint-plugin": "^8.15.0",
     "@typescript-eslint/parser": "^8.15.0",
     "@vitest/coverage-v8": "^3.0.0",

docker/docker-compose.dev.yml

@@ -95,12 +95,12 @@ services:
     image: immich-machine-learning-dev:latest
     # extends:
     #   file: hwaccel.ml.yml
-    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
+    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference
     build:
       context: ../machine-learning
       dockerfile: Dockerfile
       args:
-        - DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
+        - DEVICE=cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference
     ports:
       - 3003:3003
     volumes:

docker/docker-compose.prod.yml

@@ -38,12 +38,12 @@ services:
     image: immich-machine-learning:latest
     # extends:
     #   file: hwaccel.ml.yml
-    #   service: cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
+    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference
     build:
       context: ../machine-learning
       dockerfile: Dockerfile
       args:
-        - DEVICE=cpu # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference
+        - DEVICE=cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference
     ports:
       - 3003:3003
     volumes:
@@ -77,22 +77,12 @@ services:
       - 5432:5432
     healthcheck:
       test: >-
-        pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1;
-        Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align
-        --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')";
-        echo "checksum failure count is $$Chksum";
-        [ "$$Chksum" = '0' ] || exit 1
+        pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1; Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
       interval: 5m
       start_interval: 30s
       start_period: 5m
     command: >-
-      postgres
-      -c shared_preload_libraries=vectors.so
-      -c 'search_path="$$user", public, vectors'
-      -c logging_collector=on
-      -c max_wal_size=2GB
-      -c shared_buffers=512MB
-      -c wal_compression=on
+      postgres -c shared_preload_libraries=vectors.so -c 'search_path="$$user", public, vectors' -c logging_collector=on -c max_wal_size=2GB -c shared_buffers=512MB -c wal_compression=on
     restart: always
 
   # set IMMICH_TELEMETRY_INCLUDE=all in .env to enable metrics
@@ -100,7 +90,7 @@ services:
     container_name: immich_prometheus
     ports:
       - 9090:9090
-    image: prom/prometheus@sha256:6927e0919a144aa7616fd0137d4816816d42f6b816de3af269ab065250859a62
+    image: prom/prometheus@sha256:502ad90314c7485892ce696cb14a99fceab9fc27af29f4b427f41bd39701a199
     volumes:
       - ./prometheus.yml:/etc/prometheus/prometheus.yml
       - prometheus-data:/prometheus
@@ -109,7 +99,7 @@ services:
   # add data source for http://immich-prometheus:9090 to get started
   immich-grafana:
     container_name: immich_grafana
-    command: ['./run.sh', '-disable-reporting']
+    command: [ './run.sh', '-disable-reporting' ]
     ports:
       - 3000:3000
     image: grafana/grafana:11.5.2-ubuntu@sha256:8b5858c447e06fd7a89006b562ba7bba7c4d5813600c7982374c41852adefaeb

docker/docker-compose.yml

@@ -33,12 +33,12 @@ services:
 
   immich-machine-learning:
     container_name: immich_machine_learning
-    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
+    # 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://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` version for WSL2 where applicable
+    #   service: cpu # 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:
@@ -67,22 +67,12 @@ services:
       - ${DB_DATA_LOCATION}:/var/lib/postgresql/data
     healthcheck:
       test: >-
-        pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1;
-        Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align
-        --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')";
-        echo "checksum failure count is $$Chksum";
-        [ "$$Chksum" = '0' ] || exit 1
+        pg_isready --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" || exit 1; Chksum="$$(psql --dbname="$${POSTGRES_DB}" --username="$${POSTGRES_USER}" --tuples-only --no-align --command='SELECT COALESCE(SUM(checksum_failures), 0) FROM pg_stat_database')"; echo "checksum failure count is $$Chksum"; [ "$$Chksum" = '0' ] || exit 1
       interval: 5m
       start_interval: 30s
       start_period: 5m
     command: >-
-      postgres
-      -c shared_preload_libraries=vectors.so
-      -c 'search_path="$$user", public, vectors'
-      -c logging_collector=on
-      -c max_wal_size=2GB
-      -c shared_buffers=512MB
-      -c wal_compression=on
+      postgres -c shared_preload_libraries=vectors.so -c 'search_path="$$user", public, vectors' -c logging_collector=on -c max_wal_size=2GB -c shared_buffers=512MB -c wal_compression=on
     restart: always
 
 volumes:

docker/hwaccel.ml.yml

@@ -13,6 +13,13 @@ services:
     volumes:
       - /lib/firmware/mali_csffw.bin:/lib/firmware/mali_csffw.bin:ro # Mali firmware for your chipset (not always required depending on the driver)
       - /usr/lib/libmali.so:/usr/lib/libmali.so:ro # Mali driver for your chipset (always required)
+  
+  rknn:
+    security_opt:
+      - systempaths=unconfined
+      - apparmor=unconfined
+    devices:
+      - /dev/dri:/dev/dri
 
   cpu: {}
 
@@ -26,6 +33,13 @@ services:
               capabilities:
                 - gpu
 
+  rocm:
+    group_add:
+      - video
+    devices:
+      - /dev/dri:/dev/dri
+      - /dev/kfd:/dev/kfd
+
   openvino:
     device_cgroup_rules:
       - 'c 189:* rmw'

docs/docs/FAQ.mdx

@@ -262,7 +262,7 @@ No, this is not supported. Only models listed in the [Hugging Face][huggingface]
 
 ### I want to be able to search in other languages besides English. How can I do that?
 
-You can change to a multilingual CLIP model. See [here](/docs/features/searching#clip-model) for instructions.
+You can change to a multilingual CLIP model. See [here](/docs/features/searching#clip-models) for instructions.
 
 ### Does Immich support Facial Recognition for videos?
 

docs/docs/administration/server-commands.md

@@ -11,6 +11,7 @@ The `immich-server` docker image comes preinstalled with an administrative CLI (
 | `enable-oauth-login`     | Enable OAuth login                    |
 | `disable-oauth-login`    | Disable OAuth login                   |
 | `list-users`             | List Immich users                     |
+| `version`                | Print Immich version                  |
 
 ## How to run a command
 
@@ -80,3 +81,10 @@ immich-admin list-users
   }
 ]
 ```
+
+Print Immich Version
+
+```
+immich-admin version
+v1.129.0
+```

docs/docs/features/libraries.md

@@ -95,7 +95,7 @@ The `immich-server` container will need access to the gallery. Modify your docke
 +     - /mnt/nas/christmas-trip:/mnt/media/christmas-trip:ro
 +     - /home/user/old-pics:/mnt/media/old-pics:ro
 +     - /mnt/media/videos:/mnt/media/videos:ro
-+     - /mnt/media/videos2:/mnt/media/videos2 # the files in this folder can be deleted, as it does not end with :ro
++     - /mnt/media/videos2:/mnt/media/videos2 # WARNING: Immich will be able to delete the files in this folder, as it does not end with :ro
 +     - "C:/Users/user_name/Desktop/my media:/mnt/media/my-media:ro" # import path in Windows system.
 ```
 

docs/docs/features/ml-hardware-acceleration.md

@@ -11,7 +11,9 @@ You do not need to redo any machine learning jobs after enabling hardware accele
 
 - ARM NN (Mali)
 - CUDA (NVIDIA GPUs with [compute capability](https://developer.nvidia.com/cuda-gpus) 5.2 or higher)
+- ROCm (AMD GPUs)
 - OpenVINO (Intel GPUs such as Iris Xe and Arc)
+- RKNN (Rockchip)
 
 ## Limitations
 
@@ -19,6 +21,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
 - Only Linux and Windows (through WSL2) servers are supported.
 - ARM NN is only supported on devices with Mali GPUs. Other Arm devices are not supported.
 - Some models may not be compatible with certain backends. CUDA is the most reliable.
+- Search latency isn't improved by ARM NN due to model compatibility issues preventing its use. However, smart search jobs do make use of ARM NN.
 
 ## Prerequisites
 
@@ -33,6 +36,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
   - The `hwaccel.ml.yml` file assumes the path to it is `/usr/lib/libmali.so`, so update accordingly if it is elsewhere
   - The `hwaccel.ml.yml` file assumes an additional file `/lib/firmware/mali_csffw.bin`, so update accordingly if your device's driver does not require this file
 - Optional: Configure your `.env` file, see [environment variables](/docs/install/environment-variables) for ARM NN specific settings
+  - In particular, the `MACHINE_LEARNING_ANN_FP16_TURBO` can significantly improve performance at the cost of very slightly lower accuracy
 
 #### CUDA
 
@@ -41,22 +45,38 @@ You do not need to redo any machine learning jobs after enabling hardware accele
 - The installed driver must be >= 535 (it must support CUDA 12.2).
 - On Linux (except for WSL2), you also need to have [NVIDIA Container Toolkit][nvct] installed.
 
+#### ROCm
+
+- The GPU must be supported by ROCm. If it isn't officially supported, you can attempt to use the `HSA_OVERRIDE_GFX_VERSION` environmental variable: `HSA_OVERRIDE_GFX_VERSION=<a supported version, e.g. 10.3.0>`. If this doesn't work, you might need to also set `HSA_USE_SVM=0`.
+- The ROCm image is quite large and requires at least 35GiB of free disk space. However, pulling later updates to the service through Docker will generally only amount to a few hundred megabytes as the rest will be cached.
+- This backend is new and may experience some issues. For example, GPU power consumption can be higher than usual after running inference, even if the machine learning service is idle. In this case, it will only go back to normal after being idle for 5 minutes (configurable with the [MACHINE_LEARNING_MODEL_TTL](/docs/install/environment-variables) setting).
+
 #### OpenVINO
 
 - Integrated GPUs are more likely to experience issues than discrete GPUs, especially for older processors or servers with low RAM.
 - Ensure the server's kernel version is new enough to use the device for hardware accceleration.
 - Expect higher RAM usage when using OpenVINO compared to CPU processing.
 
+#### RKNN
+
+- You must have a supported Rockchip SoC: only RK3566, RK3568, RK3576 and RK3588 are supported at this moment.
+- Make sure you have the appropriate linux kernel driver installed
+  - This is usually pre-installed on the device vendor's Linux images
+- RKNPU driver V0.9.8 or later must be available in the host server
+  - You may confirm this by running `cat /sys/kernel/debug/rknpu/version` to check the version
+- Optional: Configure your `.env` file, see [environment variables](/docs/install/environment-variables) for RKNN specific settings
+  - In particular, setting `MACHINE_LEARNING_RKNN_THREADS` to 2 or 3 can _dramatically_ improve performance for RK3576 and RK3588 compared to the default of 1, at the expense of multiplying the amount of RAM each model uses by that amount.
+
 ## Setup
 
 1. If you do not already have it, download the latest [`hwaccel.ml.yml`][hw-file] file and ensure it's in the same folder as the `docker-compose.yml`.
 2. In the `docker-compose.yml` under `immich-machine-learning`, uncomment the `extends` section and change `cpu` to the appropriate backend.
-3. Still in `immich-machine-learning`, add one of -[armnn, cuda, openvino] to the `image` section's tag at the end of the line.
+3. Still in `immich-machine-learning`, add one of -[armnn, cuda, rocm, openvino] to the `image` section's tag at the end of the line.
 4. Redeploy the `immich-machine-learning` container with these updated settings.
 
 ### Confirming Device Usage
 
-You can confirm the device is being recognized and used by checking its utilization. There are many tools to display this, such as `nvtop` for NVIDIA or Intel and `intel_gpu_top` for Intel.
+You can confirm the device is being recognized and used by checking its utilization. There are many tools to display this, such as `nvtop` for NVIDIA or Intel, `intel_gpu_top` for Intel, and `radeontop` for AMD.
 
 You can also check the logs of the `immich-machine-learning` container. When a Smart Search or Face Detection job begins, or when you search with text in Immich, you should either see a log for `Available ORT providers` containing the relevant provider (e.g. `CUDAExecutionProvider` in the case of CUDA), or a `Loaded ANN model` log entry without errors in the case of ARM NN.
 
@@ -127,3 +147,12 @@ Note that you should increase job concurrencies to increase overall utilization
 - If you encounter an error when a model is running, try a different model to see if the issue is model-specific.
 - You may want to increase concurrency past the default for higher utilization. However, keep in mind that this will also increase VRAM consumption.
 - Larger models benefit more from hardware acceleration, if you have the VRAM for them.
+- Compared to ARM NN, RKNPU has:
+  - Wider model support (including for search, which ARM NN does not accelerate)
+  - Less heat generation
+  - Very slightly lower accuracy (RKNPU always uses FP16, while ARM NN by default uses higher precision FP32 unless `MACHINE_LEARNING_ANN_FP16_TURBO` is enabled)
+  - Varying speed (tested on RK3588):
+    - If `MACHINE_LEARNING_RKNN_THREADS` is at the default of 1, RKNPU will have substantially lower throughput for ML jobs than ARM NN in most cases, but similar latency (such as when searching)
+    - If `MACHINE_LEARNING_RKNN_THREADS` is set to 3, it will be somewhat faster than ARM NN at FP32, but somewhat slower than ARM NN if `MACHINE_LEARNING_ANN_FP16_TURBO` is enabled
+    - When other tasks also use the GPU (like transcoding), RKNPU has a significant advantage over ARM NN as it uses the otherwise idle NPU instead of competing for GPU usage
+  - Lower RAM usage if `MACHINE_LEARNING_RKNN_THREADS` is at the default of 1, but significantly higher if greater than 1 (which is necessary for it to fully utilize the NPU and hence be comparable in speed to ARM NN)

docs/docs/guides/remote-machine-learning.md

@@ -23,12 +23,12 @@ name: immich_remote_ml
 services:
   immich-machine-learning:
     container_name: immich_machine_learning
-    # For hardware acceleration, add one of -[armnn, cuda, openvino] to the image tag.
+    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino] to the image tag.
     # Example tag: ${IMMICH_VERSION:-release}-cuda
     image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}
     # extends:
     #   file: hwaccel.ml.yml
-    #   service: # set to one of [armnn, cuda, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
+    #   service: # set to one of [armnn, cuda, rocm, openvino, openvino-wsl] for accelerated inference - use the `-wsl` version for WSL2 where applicable
     volumes:
       - model-cache:/cache
     restart: always

docs/docs/install/environment-variables.md

@@ -170,6 +170,8 @@ Redis (Sentinel) URL example JSON before encoding:
 | `MACHINE_LEARNING_MAX_BATCH_SIZE__FACIAL_RECOGNITION`       | Set the maximum number of faces that will be processed at once by the facial recognition model      |  None (`1` if using OpenVINO)   | machine learning |
 | `MACHINE_LEARNING_PING_TIMEOUT`                             | How long (ms) to wait for a PING response when checking if an ML server is available                |             `2000`              | server           |
 | `MACHINE_LEARNING_AVAILABILITY_BACKOFF_TIME`                | How long to ignore ML servers that are offline before trying again                                  |             `30000`             | server           |
+| `MACHINE_LEARNING_RKNN`                                     | Enable RKNN hardware acceleration if supported                                                      |             `True`              | machine learning |
+| `MACHINE_LEARNING_RKNN_THREADS`                             | How many threads of RKNN runtime should be spinned up while inferencing.                            |               `1`               | machine learning |
 
 \*1: It is recommended to begin with this parameter when changing the concurrency levels of the machine learning service and then tune the other ones.
 

docs/package-lock.json

@@ -5308,9 +5308,9 @@
       }
     },
     "node_modules/autoprefixer": {
-      "version": "10.4.20",
-      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.20.tgz",
-      "integrity": "sha512-XY25y5xSv/wEoqzDyXXME4AFfkZI0P23z6Fs3YgymDnKJkCGOnkL0iTxCa85UTqaSgfcqyf3UA6+c7wUvx/16g==",
+      "version": "10.4.21",
+      "resolved": "https://registry.npmjs.org/autoprefixer/-/autoprefixer-10.4.21.tgz",
+      "integrity": "sha512-O+A6LWV5LDHSJD3LjHYoNi4VLsj/Whi7k6zG12xTYaU4cQ8oxQGckXNX8cRHK5yOZ/ppVHe0ZBXGzSV9jXdVbQ==",
       "funding": [
         {
           "type": "opencollective",
@@ -5327,11 +5327,11 @@
       ],
       "license": "MIT",
       "dependencies": {
-        "browserslist": "^4.23.3",
-        "caniuse-lite": "^1.0.30001646",
+        "browserslist": "^4.24.4",
+        "caniuse-lite": "^1.0.30001702",
         "fraction.js": "^4.3.7",
         "normalize-range": "^0.1.2",
-        "picocolors": "^1.0.1",
+        "picocolors": "^1.1.1",
         "postcss-value-parser": "^4.2.0"
       },
       "bin": {
@@ -5781,9 +5781,9 @@
       }
     },
     "node_modules/caniuse-lite": {
-      "version": "1.0.30001695",
-      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001695.tgz",
-      "integrity": "sha512-vHyLade6wTgI2u1ec3WQBxv+2BrTERV28UXQu9LO6lZ9pYeMk34vjXFLOxo1A4UBA8XTL4njRQZdno/yYaSmWw==",
+      "version": "1.0.30001706",
+      "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001706.tgz",
+      "integrity": "sha512-3ZczoTApMAZwPKYWmwVbQMFpXBDds3/0VciVoUwPUbldlYyVLmRVuRs/PcUZtHpbLRpzzDvrvnFuREsGt6lUug==",
       "funding": [
         {
           "type": "opencollective",
@@ -15734,9 +15734,9 @@
       }
     },
     "node_modules/prettier": {
-      "version": "3.5.2",
-      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.5.2.tgz",
-      "integrity": "sha512-lc6npv5PH7hVqozBR7lkBNOGXV9vMwROAPlumdBkX0wTbbzPu/U1hk5yL8p2pt4Xoc+2mkT8t/sow2YrV/M5qg==",
+      "version": "3.5.3",
+      "resolved": "https://registry.npmjs.org/prettier/-/prettier-3.5.3.tgz",
+      "integrity": "sha512-QQtaxnoDJeAkDvDKWCLiwIXkTgRhwYDEQCghU9Z6q03iyek/rxRh/2lC3HB7P8sWT2xC/y5JDctPLBIGzHKbhw==",
       "dev": true,
       "license": "MIT",
       "bin": {

docs/src/pages/index.tsx

@@ -1,12 +1,10 @@
 import React from 'react';
 import Link from '@docusaurus/Link';
 import Layout from '@theme/Layout';
-import { useColorMode } from '@docusaurus/theme-common';
 import { discordPath, discordViewBox } from '@site/src/components/svg-paths';
+import ThemedImage from '@theme/ThemedImage';
 import Icon from '@mdi/react';
 function HomepageHeader() {
-  const { isDarkTheme } = useColorMode();
-
   return (
     <header>
       <div className="top-[calc(12%)]  md:top-[calc(30%)] h-screen w-full absolute -z-10">
@@ -14,8 +12,8 @@ function HomepageHeader() {
         <div className="w-full h-[120vh] absolute left-0 top-0 backdrop-blur-3xl bg-immich-bg/40 dark:bg-transparent"></div>
       </div>
       <section className="text-center pt-12 sm:pt-24 bg-immich-bg/50 dark:bg-immich-dark-bg/80">
-        <img
-          src={isDarkTheme ? 'img/logomark-dark.svg' : 'img/logomark-light.svg'}
+        <ThemedImage
+          sources={{ dark: 'img/logomark-dark.svg', light: 'img/logomark-light.svg' }}
           className="h-[115px] w-[115px] mb-2 antialiased rounded-none"
           alt="Immich logo"
         />
@@ -35,7 +33,6 @@ function HomepageHeader() {
             sacrificing your privacy.
           </p>
         </div>
-
         <div className="flex flex-col sm:flex-row place-items-center place-content-center mt-9 gap-4 ">
           <Link
             className="flex place-items-center place-content-center py-3 px-8 border bg-immich-primary dark:bg-immich-dark-primary rounded-xl no-underline hover:no-underline text-white hover:text-gray-50 dark:text-immich-dark-bg font-bold uppercase"
@@ -58,7 +55,6 @@ function HomepageHeader() {
             Buy Merch
           </Link>
         </div>
-
         <div className="my-12 flex gap-1 font-medium place-items-center place-content-center text-immich-primary dark:text-immich-dark-primary">
           <Icon
             path={discordPath}
@@ -67,22 +63,19 @@ function HomepageHeader() {
           />
           <Link to="https://discord.immich.app/">Join our Discord</Link>
         </div>
-        <img
-          src={isDarkTheme ? '/img/screenshot-dark.webp' : '/img/screenshot-light.webp'}
+        <ThemedImage
+          sources={{ dark: '/img/screenshot-dark.webp', light: '/img/screenshot-light.webp' }}
           alt="screenshots"
           className="w-[95%] lg:w-[85%] xl:w-[70%] 2xl:w-[60%] "
         />
-
         <div className="mx-[25%] m-auto my-14 md:my-28">
           <hr className="border bg-gray-500 dark:bg-gray-400" />
         </div>
-
-        <img
-          src={isDarkTheme ? 'img/logomark-dark.svg' : 'img/logomark-light.svg'}
+        <ThemedImage
+          sources={{ dark: 'img/logomark-dark.svg', light: 'img/logomark-light.svg' }}
           className="h-[115px] w-[115px] mb-2 antialiased rounded-none"
           alt="Immich logo"
         />
-
         <div>
           <p className="font-bold text-2xl md:text-5xl ">Download the mobile app</p>
           <p className="text-lg">
@@ -101,9 +94,8 @@ function HomepageHeader() {
             </a>
           </div>
         </div>
-
-        <img
-          src={isDarkTheme ? '/img/app-qr-code-dark.svg' : '/img/app-qr-code-light.svg'}
+        <ThemedImage
+          sources={{ dark: '/img/app-qr-code-dark.svg', light: '/img/app-qr-code-light.svg' }}
           alt="app qr code"
           width={'150px'}
           className="shadow-lg p-3 my-8 dark:bg-immich-dark-bg "

docs/src/pages/privacy-policy.tsx

@@ -1,10 +1,7 @@
 import React from 'react';
 import Link from '@docusaurus/Link';
 import Layout from '@theme/Layout';
-import { useColorMode } from '@docusaurus/theme-common';
 function HomepageHeader() {
-  const { isDarkTheme } = useColorMode();
-
   return (
     <header>
       <section className="max-w-[900px] m-4 p-4 md:p-6 md:m-auto md:my-12 border border-red-400 rounded-2xl  bg-slate-200 dark:bg-immich-dark-gray">

docs/static/archived-versions.json

@@ -1,4 +1,8 @@
 [
+  {
+    "label": "v1.130.0",
+    "url": "https://v1.130.0.archive.immich.app"
+  },
   {
     "label": "v1.129.0",
     "url": "https://v1.129.0.archive.immich.app"

e2e/package.json

@@ -1,6 +1,6 @@
 {
   "name": "immich-e2e",
-  "version": "1.129.0",
+  "version": "1.130.0",
   "description": "",
   "main": "index.js",
   "type": "module",
@@ -25,7 +25,7 @@
     "@immich/sdk": "file:../open-api/typescript-sdk",
     "@playwright/test": "^1.44.1",
     "@types/luxon": "^3.4.2",
-    "@types/node": "^22.13.9",
+    "@types/node": "^22.13.10",
     "@types/oidc-provider": "^8.5.1",
     "@types/pg": "^8.11.0",
     "@types/pngjs": "^6.0.4",

e2e/src/utils.ts

@@ -493,7 +493,7 @@ export const utils = {
         value: accessToken,
         domain,
         path: '/',
-        expires: 1_742_402_728,
+        expires: 2_058_028_213,
         httpOnly: true,
         secure: false,
         sameSite: 'Lax',
@@ -503,7 +503,7 @@ export const utils = {
         value: 'password',
         domain,
         path: '/',
-        expires: 1_742_402_728,
+        expires: 2_058_028_213,
         httpOnly: true,
         secure: false,
         sameSite: 'Lax',
@@ -513,7 +513,7 @@ export const utils = {
         value: 'true',
         domain,
         path: '/',
-        expires: 1_742_402_728,
+        expires: 2_058_028_213,
         httpOnly: false,
         secure: false,
         sameSite: 'Lax',

e2e/src/web/specs/shared-link.e2e-spec.ts

@@ -45,7 +45,7 @@ test.describe('Shared Links', () => {
     await page.goto(`/share/${sharedLink.key}`);
     await page.getByRole('heading', { name: 'Test Album' }).waitFor();
     await page.locator(`[data-asset-id="${asset.id}"]`).hover();
-    await page.waitForSelector('#asset-group-by-date svg');
+    await page.waitForSelector('[data-group] svg');
     await page.getByRole('checkbox').click();
     await page.getByRole('button', { name: 'Download' }).click();
     await page.getByText('DOWNLOADING', { exact: true }).waitFor();

i18n/en.json

@@ -1082,7 +1082,9 @@
   "remove_url": "Remove URL",
   "remove_user": "Remove user",
   "removed_api_key": "Removed API Key: {name}",
+  "remove_memory": "Remove memory",
   "removed_memory": "Removed memory",
+  "remove_photo_from_memory": "Remove photo from this memory",
   "removed_photo_from_memory": "Removed photo from memory",
   "removed_from_archive": "Removed from archive",
   "removed_from_favorites": "Removed from favorites",

machine-learning/.gitignore

@@ -1,5 +1,27 @@
 *.zip
 *.onnx
+*.rknn
+*.npy
+*_attr__value
+*.weight
+*.bias
+onnx__*
+*in_proj_bias
+*.proj
+*.latent
+*.pos_embed
+vocab.txt
+export/immich_model_exporter/models/**/README.md
+export/**/results/*.json
+export/**/root
+*.armnn
+tokenizer.json
+tokenizer_config.json
+special_tokens_map.json
+preprocess_cfg.json
+config.json
+merges.txt
+vocab.json
 upload/
 venv/
 __pycache__/

machine-learning/Dockerfile

@@ -1,6 +1,6 @@
 ARG DEVICE=cpu
 
-FROM python:3.11-bookworm@sha256:68a8863d0625f42d47e0684f33ca02f19d6094ef859a8af237aaf645195ed477 AS builder-cpu
+FROM python:3.11-bookworm@sha256:d270285656e8f061ae0004297df62ac4b26d5cef9408b9cc9a5bf08c2cd8d60c AS builder-cpu
 
 FROM builder-cpu AS builder-openvino
 
@@ -15,31 +15,65 @@ RUN mkdir /opt/armnn && \
     cd /opt/ann && \
     sh build.sh
 
+FROM builder-cpu AS builder-rknn
+
+# Warning: 25GiB+ disk space required to pull this image
+# TODO: find a way to reduce the image size
+FROM rocm/dev-ubuntu-22.04:6.3.4-complete@sha256:1f7e92ca7e3a3785680473329ed1091fc99db3e90fcb3a1688f2933e870ed76b AS builder-rocm
+
+WORKDIR /code
+
+RUN apt-get update && apt-get install -y --no-install-recommends wget git python3.10-venv
+RUN wget -nv https://github.com/Kitware/CMake/releases/download/v3.30.1/cmake-3.30.1-linux-x86_64.sh && \
+    chmod +x cmake-3.30.1-linux-x86_64.sh && \
+    mkdir -p /code/cmake-3.30.1-linux-x86_64 && \
+    ./cmake-3.30.1-linux-x86_64.sh --skip-license --prefix=/code/cmake-3.30.1-linux-x86_64 && \
+    rm cmake-3.30.1-linux-x86_64.sh
+
+ENV PATH=/code/cmake-3.30.1-linux-x86_64/bin:${PATH}
+
+RUN git clone --single-branch --branch v1.20.1 --recursive "https://github.com/Microsoft/onnxruntime" onnxruntime
+WORKDIR /code/onnxruntime
+# Fix for multi-threading based on comments in https://github.com/microsoft/onnxruntime/pull/19567
+# TODO: find a way to fix this without disabling algo caching
+COPY ./patches/* /tmp/
+RUN git apply /tmp/*.patch
+
+RUN /bin/sh ./dockerfiles/scripts/install_common_deps.sh
+# Note: the `parallel` setting uses a substantial amount of RAM
+RUN ./build.sh --allow_running_as_root --config Release --build_wheel --update --build --parallel 17 --cmake_extra_defines\
+    ONNXRUNTIME_VERSION=1.20.1 --skip_tests --use_rocm --rocm_home=/opt/rocm
+RUN mv /code/onnxruntime/build/Linux/Release/dist/*.whl /opt/
+
 FROM builder-${DEVICE} AS builder
 
 ARG DEVICE
 ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1
+    PYTHONUNBUFFERED=1 \
+    VIRTUAL_ENV=/opt/venv
 WORKDIR /usr/src/app
 
 RUN apt-get update && apt-get install -y --no-install-recommends g++
 
-COPY --from=ghcr.io/astral-sh/uv:latest@sha256:562193a4a9d398f8aedddcb223e583da394ee735de36b5815f8f1d22cb49be15 /uv /uvx /bin/
+COPY --from=ghcr.io/astral-sh/uv:latest@sha256:cb641b1979723dc5ab87d61f079000009edc107d30ae7cbb6e7419fdac044e9f /uv /uvx /bin/
 RUN --mount=type=cache,target=/root/.cache/uv \
     --mount=type=bind,source=uv.lock,target=uv.lock \
     --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
-    uv sync --frozen --extra ${DEVICE} --no-dev --no-editable --no-install-project --compile-bytecode --no-progress
+    uv sync --frozen --extra ${DEVICE} --no-dev --no-editable --no-install-project --compile-bytecode --no-progress --active --link-mode copy
+RUN if [ "$DEVICE" = "rocm" ]; then \
+    uv pip install /opt/onnxruntime_rocm-*.whl; \
+    fi
 
-FROM python:3.11-slim-bookworm@sha256:614c8691ab74150465ec9123378cd4dde7a6e57be9e558c3108df40664667a4c AS prod-cpu
+FROM python:3.11-slim-bookworm@sha256:7029b00486ac40bed03e36775b864d3f3d39dcbdf19cd45e6a52d541e6c178f0 AS prod-cpu
 
 FROM prod-cpu AS prod-openvino
 
 RUN apt-get update && \
     apt-get install --no-install-recommends -yqq ocl-icd-libopencl1 wget && \
-    wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17384.11/intel-igc-core_1.0.17384.11_amd64.deb && \
-    wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17384.11/intel-igc-opencl_1.0.17384.11_amd64.deb && \
-    wget https://github.com/intel/compute-runtime/releases/download/24.31.30508.7/intel-opencl-icd_24.31.30508.7_amd64.deb && \
-    wget https://github.com/intel/compute-runtime/releases/download/24.31.30508.7/libigdgmm12_22.4.1_amd64.deb && \
+    wget -nv https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17384.11/intel-igc-core_1.0.17384.11_amd64.deb && \
+    wget -nv https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17384.11/intel-igc-opencl_1.0.17384.11_amd64.deb && \
+    wget -nv https://github.com/intel/compute-runtime/releases/download/24.31.30508.7/intel-opencl-icd_24.31.30508.7_amd64.deb && \
+    wget -nv https://github.com/intel/compute-runtime/releases/download/24.31.30508.7/libigdgmm12_22.4.1_amd64.deb && \
     dpkg -i *.deb && \
     rm *.deb && \
     apt-get remove wget -yqq && \
@@ -56,6 +90,8 @@ COPY --from=builder-cuda /usr/local/bin/python3 /usr/local/bin/python3
 COPY --from=builder-cuda /usr/local/lib/python3.11 /usr/local/lib/python3.11
 COPY --from=builder-cuda /usr/local/lib/libpython3.11.so /usr/local/lib/libpython3.11.so
 
+FROM rocm/dev-ubuntu-22.04:6.3.4-complete@sha256:1f7e92ca7e3a3785680473329ed1091fc99db3e90fcb3a1688f2933e870ed76b AS prod-rocm
+
 FROM prod-cpu AS prod-armnn
 
 ENV LD_LIBRARY_PATH=/opt/armnn
@@ -76,11 +112,16 @@ COPY --from=builder-armnn \
     /opt/ann/build.sh \
     /opt/armnn/
 
+FROM prod-cpu AS prod-rknn
+
+ADD --checksum=sha256:73993ed4b440460825f21611731564503cc1d5a0c123746477da6cd574f34885 https://github.com/airockchip/rknn-toolkit2/raw/refs/tags/v2.3.0/rknpu2/runtime/Linux/librknn_api/aarch64/librknnrt.so /usr/lib/
+
 FROM prod-${DEVICE} AS prod
+
 ARG DEVICE
 
 RUN apt-get update && \
-    apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ]; then echo "libmimalloc2.0"; fi) && \
+    apt-get install -y --no-install-recommends tini $(if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then echo "libmimalloc2.0"; fi) && \
     apt-get autoremove -yqq && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
@@ -89,16 +130,17 @@ WORKDIR /usr/src/app
 ENV TRANSFORMERS_CACHE=/cache \
     PYTHONDONTWRITEBYTECODE=1 \
     PYTHONUNBUFFERED=1 \
-    PATH="/usr/src/app/.venv/bin:$PATH" \
+    PATH="/opt/venv/bin:$PATH" \
     PYTHONPATH=/usr/src \
-    DEVICE=${DEVICE}
+    DEVICE=${DEVICE} \
+    VIRTUAL_ENV=/opt/venv
 
 # prevent core dumps
 RUN echo "hard core 0" >> /etc/security/limits.conf && \
     echo "fs.suid_dumpable 0" >> /etc/sysctl.conf && \
     echo 'ulimit -S -c 0 > /dev/null 2>&1' >> /etc/profile
 
-COPY --from=builder /usr/src/app/.venv /usr/src/app/.venv
+COPY --from=builder /opt/venv /opt/venv
 COPY ann/ann.py /usr/src/ann/ann.py
 COPY start.sh log_conf.json gunicorn_conf.py ./
 COPY app .
@@ -121,4 +163,4 @@ ENV IMMICH_SOURCE_URL=https://github.com/immich-app/immich/commit/${BUILD_SOURCE
 ENTRYPOINT ["tini", "--"]
 CMD ["./start.sh"]
 
-HEALTHCHECK CMD python3 healthcheck.py
+HEALTHCHECK CMD python3 healthcheck.py

machine-learning/README.md

@@ -7,7 +7,7 @@
 
 This project uses [uv](https://docs.astral.sh/uv/getting-started/installation/), so be sure to install it first.
 Running `uv sync --extra cpu` will install everything you need in an isolated virtual environment.
-CUDA and OpenVINO are supported as acceleration APIs. To use them, you can replace `--group cpu` with either of `--group cuda` or `--group openvino`. In the case of CUDA, a [compute capability](https://developer.nvidia.com/cuda-gpus) of 5.2 or higher is required.
+CUDA, ROCM and OpenVINO are supported as acceleration APIs. To use them, you can replace `--extra cpu` with either of `--extra cuda`, `--extra rocm` or `--extra openvino`. In the case of CUDA, a [compute capability](https://developer.nvidia.com/cuda-gpus) of 5.2 or higher is required.
 
 To add or remove dependencies, you can use the commands `uv add $PACKAGE_NAME` and `uv remove $PACKAGE_NAME`, respectively.
 Be sure to commit the `uv.lock` and `pyproject.toml` files with `uv lock` to reflect any changes in dependencies.

machine-learning/app/config.py

@@ -64,6 +64,8 @@ class Settings(BaseSettings):
     ann: bool = True
     ann_fp16_turbo: bool = False
     ann_tuning_level: int = 2
+    rknn: bool = True
+    rknn_threads: int = 1
     preload: PreloadModelData | None = None
     max_batch_size: MaxBatchSize | None = None
 

machine-learning/app/conftest.py

@@ -136,6 +136,12 @@ def ann_session() -> Iterator[mock.Mock]:
         yield mocked
 
 
+@pytest.fixture(scope="function")
+def rknn_session() -> Iterator[mock.Mock]:
+    with mock.patch("app.sessions.rknn.RknnPoolExecutor") as mocked:
+        yield mocked
+
+
 @pytest.fixture(scope="function")
 def rmtree() -> Iterator[mock.Mock]:
     with mock.patch("app.models.base.rmtree", autospec=True) as mocked:

machine-learning/app/main.py

@@ -226,9 +226,9 @@ async def load(model: InferenceModel) -> InferenceModel:
             except FileNotFoundError as e:
                 if model.model_format == ModelFormat.ONNX:
                     raise e
-                log.exception(e)
                 log.warning(
-                    f"{model.model_format.upper()} is available, but model '{model.model_name}' does not support it."
+                    f"{model.model_format.upper()} is available, but model '{model.model_name}' does not support it.",
+                    exc_info=e,
                 )
                 model.model_format = ModelFormat.ONNX
                 model.load()

machine-learning/app/models/base.py

@@ -8,6 +8,7 @@ from typing import Any, ClassVar
 from huggingface_hub import snapshot_download
 
 import ann.ann
+import app.sessions.rknn as rknn
 from app.sessions.ort import OrtSession
 
 from ..config import clean_name, log, settings
@@ -66,12 +67,17 @@ class InferenceModel(ABC):
         pass
 
     def _download(self) -> None:
-        ignore_patterns = [] if self.model_format == ModelFormat.ARMNN else ["*.armnn"]
+        ignored_patterns: dict[ModelFormat, list[str]] = {
+            ModelFormat.ONNX: ["*.armnn", "*.rknn"],
+            ModelFormat.ARMNN: ["*.rknn"],
+            ModelFormat.RKNN: ["*.armnn"],
+        }
+
         snapshot_download(
             f"immich-app/{clean_name(self.model_name)}",
             cache_dir=self.cache_dir,
             local_dir=self.cache_dir,
-            ignore_patterns=ignore_patterns,
+            ignore_patterns=ignored_patterns.get(self.model_format, []),
         )
 
     def _load(self) -> ModelSession:
@@ -108,17 +114,25 @@ class InferenceModel(ABC):
                 session: ModelSession = AnnSession(model_path)
             case ".onnx":
                 session = OrtSession(model_path)
+            case ".rknn":
+                session = rknn.RknnSession(model_path)
             case _:
                 raise ValueError(f"Unsupported model file type: {model_path.suffix}")
         return session
 
+    def model_path_for_format(self, model_format: ModelFormat) -> Path:
+        model_path_prefix = rknn.model_prefix if model_format == ModelFormat.RKNN else None
+        if model_path_prefix:
+            return self.model_dir / model_path_prefix / f"model.{model_format}"
+        return self.model_dir / f"model.{model_format}"
+
     @property
     def model_dir(self) -> Path:
         return self.cache_dir / self.model_type.value
 
     @property
     def model_path(self) -> Path:
-        return self.model_dir / f"model.{self.model_format}"
+        return self.model_path_for_format(self.model_format)
 
     @property
     def model_task(self) -> ModelTask:
@@ -155,4 +169,9 @@ class InferenceModel(ABC):
 
     @property
     def _model_format_default(self) -> ModelFormat:
-        return ModelFormat.ARMNN if ann.ann.is_available and settings.ann else ModelFormat.ONNX
+        if rknn.is_available:
+            return ModelFormat.RKNN
+        elif ann.ann.is_available and settings.ann:
+            return ModelFormat.ARMNN
+        else:
+            return ModelFormat.ONNX

machine-learning/app/models/constants.py

@@ -44,6 +44,18 @@ _OPENCLIP_MODELS = {
     "nllb-clip-base-siglip__v1",
     "nllb-clip-large-siglip__mrl",
     "nllb-clip-large-siglip__v1",
+    "ViT-B-16-SigLIP2__webli",
+    "ViT-B-32-SigLIP2-256__webli",
+    "ViT-L-16-SigLIP2-256__webli",
+    "ViT-L-16-SigLIP2-384__webli",
+    "ViT-L-16-SigLIP2-512__webli",
+    "ViT-SO400M-14-SigLIP2-378__webli",
+    "ViT-SO400M-14-SigLIP2__webli",
+    "ViT-SO400M-16-SigLIP2-256__webli",
+    "ViT-SO400M-16-SigLIP2-384__webli",
+    "ViT-SO400M-16-SigLIP2-512__webli",
+    "ViT-gopt-16-SigLIP2-256__webli",
+    "ViT-gopt-16-SigLIP2-384__webli",
 }
 
 
@@ -63,7 +75,15 @@ _INSIGHTFACE_MODELS = {
 }
 
 
-SUPPORTED_PROVIDERS = ["CUDAExecutionProvider", "OpenVINOExecutionProvider", "CPUExecutionProvider"]
+SUPPORTED_PROVIDERS = [
+    "CUDAExecutionProvider",
+    "ROCMExecutionProvider",
+    "OpenVINOExecutionProvider",
+    "CPUExecutionProvider",
+]
+
+RKNN_SUPPORTED_SOCS = ["rk3566", "rk3568", "rk3576", "rk3588"]
+RKNN_COREMASK_SUPPORTED_SOCS = ["rk3576", "rk3588"]
 
 
 def get_model_source(model_name: str) -> ModelSource | None:

machine-learning/app/models/facial_recognition/recognition.py

@@ -31,7 +31,7 @@ class FaceRecognizer(InferenceModel):
             self._add_batch_axis(self.model_path)
             session = self._make_session(self.model_path)
         self.model = ArcFaceONNX(
-            self.model_path.with_suffix(".onnx").as_posix(),
+            self.model_path_for_format(ModelFormat.ONNX).as_posix(),
             session=session,
         )
         return session

machine-learning/app/schemas.py

@@ -35,6 +35,7 @@ class ModelType(StrEnum):
 class ModelFormat(StrEnum):
     ARMNN = "armnn"
     ONNX = "onnx"
+    RKNN = "rknn"
 
 
 class ModelSource(StrEnum):

machine-learning/app/sessions/ort.py

@@ -88,7 +88,7 @@ class OrtSession:
             match provider:
                 case "CPUExecutionProvider":
                     options = {"arena_extend_strategy": "kSameAsRequested"}
-                case "CUDAExecutionProvider":
+                case "CUDAExecutionProvider" | "ROCMExecutionProvider":
                     options = {"arena_extend_strategy": "kSameAsRequested", "device_id": settings.device_id}
                 case "OpenVINOExecutionProvider":
                     options = {

machine-learning/app/sessions/rknn/__init__.py

@@ -0,0 +1,76 @@
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any, NamedTuple
+
+import numpy as np
+from numpy.typing import NDArray
+
+from app.config import log, settings
+from app.schemas import SessionNode
+
+from .rknnpool import RknnPoolExecutor, is_available, soc_name
+
+is_available = is_available and settings.rknn
+model_prefix = Path("rknpu") / soc_name if is_available and soc_name is not None else None
+
+
+def run_inference(rknn_lite: Any, input: list[NDArray[np.float32]]) -> list[NDArray[np.float32]]:
+    outputs: list[NDArray[np.float32]] = rknn_lite.inference(inputs=input, data_format="nchw")
+    return outputs
+
+
+input_output_mapping: dict[str, dict[str, Any]] = {
+    "detection": {
+        "input": {"norm_tensor:0": (1, 3, 640, 640)},
+        "output": {
+            "norm_tensor:1": (12800, 1),
+            "norm_tensor:2": (3200, 1),
+            "norm_tensor:3": (800, 1),
+            "norm_tensor:4": (12800, 4),
+            "norm_tensor:5": (3200, 4),
+            "norm_tensor:6": (800, 4),
+            "norm_tensor:7": (12800, 10),
+            "norm_tensor:8": (3200, 10),
+            "norm_tensor:9": (800, 10),
+        },
+    },
+    "recognition": {"input": {"norm_tensor:0": (1, 3, 112, 112)}, "output": {"norm_tensor:1": (1, 512)}},
+}
+
+
+class RknnSession:
+    def __init__(self, model_path: Path) -> None:
+        self.model_type = "detection" if "detection" in model_path.parts else "recognition"
+        self.tpe = settings.rknn_threads
+
+        log.info(f"Loading RKNN model from {model_path} with {self.tpe} threads.")
+        self.rknnpool = RknnPoolExecutor(model_path=model_path.as_posix(), tpes=self.tpe, func=run_inference)
+        log.info(f"Loaded RKNN model from {model_path} with {self.tpe} threads.")
+
+    def get_inputs(self) -> list[SessionNode]:
+        return [RknnNode(name=k, shape=v) for k, v in input_output_mapping[self.model_type]["input"].items()]
+
+    def get_outputs(self) -> list[SessionNode]:
+        return [RknnNode(name=k, shape=v) for k, v in input_output_mapping[self.model_type]["output"].items()]
+
+    def run(
+        self,
+        output_names: list[str] | None,
+        input_feed: dict[str, NDArray[np.float32]] | dict[str, NDArray[np.int32]],
+        run_options: Any = None,
+    ) -> list[NDArray[np.float32]]:
+        input_data: list[NDArray[np.float32]] = [np.ascontiguousarray(v) for v in input_feed.values()]
+        self.rknnpool.put(input_data)
+        res = self.rknnpool.get()
+        if res is None:
+            raise RuntimeError("RKNN inference failed!")
+        return res
+
+
+class RknnNode(NamedTuple):
+    name: str | None
+    shape: tuple[int, ...]
+
+
+__all__ = ["RknnSession", "RknnNode", "is_available", "soc_name", "model_prefix"]

machine-learning/app/sessions/rknn/rknnpool.py

@@ -0,0 +1,91 @@
+# This code is from leafqycc/rknn-multi-threaded
+# Following Apache License 2.0
+
+import logging
+from concurrent.futures import Future, ThreadPoolExecutor
+from pathlib import Path
+from queue import Queue
+from typing import Callable
+
+import numpy as np
+from numpy.typing import NDArray
+
+from app.config import log
+from app.models.constants import RKNN_COREMASK_SUPPORTED_SOCS, RKNN_SUPPORTED_SOCS
+
+
+def get_soc(device_tree_path: Path | str) -> str | None:
+    try:
+        with Path(device_tree_path).open() as f:
+            device_compatible_str = f.read()
+            for soc in RKNN_SUPPORTED_SOCS:
+                if soc in device_compatible_str:
+                    return soc
+            log.warning("Device is not supported for RKNN")
+    except OSError as e:
+        log.warning(f"Could not read {device_tree_path}. Reason: %s", e)
+    return None
+
+
+soc_name = None
+is_available = False
+try:
+    from rknnlite.api import RKNNLite
+
+    soc_name = get_soc("/proc/device-tree/compatible")
+    is_available = soc_name is not None
+except ImportError:
+    log.debug("RKNN is not available")
+
+
+def init_rknn(model_path: str) -> "RKNNLite":
+    if not is_available:
+        raise RuntimeError("rknn is not available!")
+    rknn_lite = RKNNLite()
+    rknn_lite.rknn_log.logger.setLevel(logging.ERROR)
+    ret = rknn_lite.load_rknn(model_path)
+    if ret != 0:
+        raise RuntimeError("Failed to load RKNN model")
+
+    if soc_name in RKNN_COREMASK_SUPPORTED_SOCS:
+        ret = rknn_lite.init_runtime(core_mask=RKNNLite.NPU_CORE_AUTO)
+    else:
+        ret = rknn_lite.init_runtime()  # Please do not set this parameter on other platforms.
+
+    if ret != 0:
+        raise RuntimeError("Failed to inititalize RKNN runtime environment")
+
+    return rknn_lite
+
+
+class RknnPoolExecutor:
+    def __init__(
+        self,
+        model_path: str,
+        tpes: int,
+        func: Callable[["RKNNLite", list[NDArray[np.float32]]], list[NDArray[np.float32]]],
+    ) -> None:
+        self.tpes = tpes
+        self.queue: Queue[Future[list[NDArray[np.float32]]]] = Queue()
+        self.rknn_pool = [init_rknn(model_path) for _ in range(tpes)]
+        self.pool = ThreadPoolExecutor(max_workers=tpes)
+        self.func = func
+        self.num = 0
+
+    def put(self, inputs: list[NDArray[np.float32]]) -> None:
+        self.queue.put(self.pool.submit(self.func, self.rknn_pool[self.num % self.tpes], inputs))
+        self.num += 1
+
+    def get(self) -> list[NDArray[np.float32]] | None:
+        if self.queue.empty():
+            return None
+        fut = self.queue.get()
+        return fut.result()
+
+    def release(self) -> None:
+        self.pool.shutdown()
+        for rknn_lite in self.rknn_pool:
+            rknn_lite.release()
+
+    def __del__(self) -> None:
+        self.release()

machine-learning/app/test_main.py

@@ -25,6 +25,7 @@ from app.models.facial_recognition.detection import FaceDetector
 from app.models.facial_recognition.recognition import FaceRecognizer
 from app.sessions.ann import AnnSession
 from app.sessions.ort import OrtSession
+from app.sessions.rknn import RknnSession, run_inference
 
 from .config import Settings, settings
 from .models.base import InferenceModel
@@ -69,6 +70,14 @@ class TestBase:
 
         assert encoder.model_format == ModelFormat.ARMNN
 
+    def test_sets_default_model_format_to_rknn_if_available(self, mocker: MockerFixture) -> None:
+        mocker.patch.object(settings, "rknn", True)
+        mocker.patch("app.sessions.rknn.is_available", True)
+
+        encoder = OpenClipTextualEncoder("ViT-B-32__openai")
+
+        assert encoder.model_format == ModelFormat.RKNN
+
     def test_casts_cache_dir_string_to_path(self) -> None:
         cache_dir = "/test_cache"
         encoder = OpenClipTextualEncoder("ViT-B-32__openai", cache_dir=cache_dir)
@@ -125,7 +134,7 @@ class TestBase:
             "immich-app/ViT-B-32__openai",
             cache_dir=encoder.cache_dir,
             local_dir=encoder.cache_dir,
-            ignore_patterns=["*.armnn"],
+            ignore_patterns=["*.armnn", "*.rknn"],
         )
 
     def test_download_downloads_armnn_if_preferred_format(self, snapshot_download: mock.Mock) -> None:
@@ -136,7 +145,18 @@ class TestBase:
             "immich-app/ViT-B-32__openai",
             cache_dir=encoder.cache_dir,
             local_dir=encoder.cache_dir,
-            ignore_patterns=[],
+            ignore_patterns=["*.rknn"],
+        )
+
+    def test_download_downloads_rknn_if_preferred_format(self, snapshot_download: mock.Mock) -> None:
+        encoder = OpenClipTextualEncoder("ViT-B-32__openai", model_format=ModelFormat.RKNN)
+        encoder.download()
+
+        snapshot_download.assert_called_once_with(
+            "immich-app/ViT-B-32__openai",
+            cache_dir=encoder.cache_dir,
+            local_dir=encoder.cache_dir,
+            ignore_patterns=["*.armnn"],
         )
 
     def test_throws_exception_if_model_path_does_not_exist(
@@ -160,6 +180,7 @@ class TestOrtSession:
     OV_EP = ["OpenVINOExecutionProvider", "CPUExecutionProvider"]
     CUDA_EP_OUT_OF_ORDER = ["CPUExecutionProvider", "CUDAExecutionProvider"]
     TRT_EP = ["TensorrtExecutionProvider", "CUDAExecutionProvider", "CPUExecutionProvider"]
+    ROCM_EP = ["ROCMExecutionProvider", "CPUExecutionProvider"]
 
     @pytest.mark.providers(CPU_EP)
     def test_sets_cpu_provider(self, providers: list[str]) -> None:
@@ -199,6 +220,12 @@ class TestOrtSession:
 
         assert session.providers == self.CUDA_EP
 
+    @pytest.mark.providers(ROCM_EP)
+    def test_uses_rocm(self, providers: list[str]) -> None:
+        session = OrtSession("ViT-B-32__openai")
+
+        assert session.providers == self.ROCM_EP
+
     def test_sets_provider_kwarg(self) -> None:
         providers = ["CUDAExecutionProvider"]
         session = OrtSession("ViT-B-32__openai", providers=providers)
@@ -215,19 +242,33 @@ class TestOrtSession:
             {"arena_extend_strategy": "kSameAsRequested"},
         ]
 
-    def test_sets_device_id_for_openvino(self) -> None:
+    def test_sets_provider_options_for_openvino(self) -> None:
+        model_path = "/cache/ViT-B-32__openai/textual/model.onnx"
         os.environ["MACHINE_LEARNING_DEVICE_ID"] = "1"
 
-        session = OrtSession("ViT-B-32__openai", providers=["OpenVINOExecutionProvider"])
+        session = OrtSession(model_path, providers=["OpenVINOExecutionProvider"])
 
-        assert session.provider_options[0]["device_type"] == "GPU.1"
+        assert session.provider_options == [
+            {
+                "device_type": "GPU.1",
+                "precision": "FP32",
+                "cache_dir": "/cache/ViT-B-32__openai/textual/openvino",
+            }
+        ]
 
-    def test_sets_device_id_for_cuda(self) -> None:
+    def test_sets_provider_options_for_cuda(self) -> None:
         os.environ["MACHINE_LEARNING_DEVICE_ID"] = "1"
 
         session = OrtSession("ViT-B-32__openai", providers=["CUDAExecutionProvider"])
 
-        assert session.provider_options[0]["device_id"] == "1"
+        assert session.provider_options == [{"arena_extend_strategy": "kSameAsRequested", "device_id": "1"}]
+
+    def test_sets_provider_options_for_rocm(self) -> None:
+        os.environ["MACHINE_LEARNING_DEVICE_ID"] = "1"
+
+        session = OrtSession("ViT-B-32__openai", providers=["ROCMExecutionProvider"])
+
+        assert session.provider_options == [{"arena_extend_strategy": "kSameAsRequested", "device_id": "1"}]
 
     def test_sets_provider_options_kwarg(self) -> None:
         session = OrtSession(
@@ -328,6 +369,33 @@ class TestAnnSession:
         np_spy.assert_has_calls([mock.call(input1), mock.call(input2)])
 
 
+class TestRknnSession:
+    def test_creates_rknn_session(self, rknn_session: mock.Mock, info: mock.Mock, mocker: MockerFixture) -> None:
+        model_path = mock.MagicMock(spec=Path)
+        tpe = 1
+        mocker.patch("app.sessions.rknn.soc_name", "rk3566")
+        mocker.patch("app.sessions.rknn.is_available", True)
+        RknnSession(model_path)
+
+        rknn_session.assert_called_once_with(model_path=model_path.as_posix(), tpes=tpe, func=run_inference)
+
+        info.assert_has_calls([mock.call(f"Loaded RKNN model from {model_path} with {tpe} threads.")])
+
+    def test_run_rknn(self, rknn_session: mock.Mock, mocker: MockerFixture) -> None:
+        rknn_session.return_value.load.return_value = 123
+        np_spy = mocker.spy(np, "ascontiguousarray")
+        mocker.patch("app.sessions.rknn.soc_name", "rk3566")
+        session = RknnSession(Path("ViT-B-32__openai"))
+        [input1, input2] = [np.random.rand(1, 3, 224, 224).astype(np.float32) for _ in range(2)]
+        input_feed = {"input.1": input1, "input.2": input2}
+
+        session.run(None, input_feed)
+
+        rknn_session.return_value.put.assert_called_once_with([input1, input2])
+        np_spy.call_count == 2
+        np_spy.assert_has_calls([mock.call(input1), mock.call(input2)])
+
+
 class TestCLIP:
     embedding = np.random.rand(512).astype(np.float32)
     cache_dir = Path("test_cache")
@@ -829,9 +897,7 @@ class TestLoad:
         mock_model.clear_cache.assert_not_called()
         mock_model.load.assert_not_called()
 
-    async def test_falls_back_to_onnx_if_other_format_does_not_exist(
-        self, exception: mock.Mock, warning: mock.Mock
-    ) -> None:
+    async def test_falls_back_to_onnx_if_other_format_does_not_exist(self, warning: mock.Mock) -> None:
         mock_model = mock.Mock(spec=InferenceModel)
         mock_model.model_name = "test_model_name"
         mock_model.model_type = ModelType.VISUAL
@@ -846,8 +912,9 @@ class TestLoad:
 
         mock_model.clear_cache.assert_not_called()
         assert mock_model.load.call_count == 2
-        exception.assert_called_once_with(error)
-        warning.assert_called_once_with("ARMNN is available, but model 'test_model_name' does not support it.")
+        warning.assert_called_once_with(
+            "ARMNN is available, but model 'test_model_name' does not support it.", exc_info=error
+        )
         mock_model.model_format = ModelFormat.ONNX
 
 

machine-learning/export/.python-version

@@ -0,0 +1 @@
+3.12

machine-learning/export/Dockerfile

@@ -1,20 +0,0 @@
-FROM mambaorg/micromamba:bookworm-slim@sha256:e3797091302382ea841498bc93a7b0a50f7c1448333d5e946d2d1608d0c5f43d AS builder
-
-ENV TRANSFORMERS_CACHE=/cache \
-  PYTHONDONTWRITEBYTECODE=1 \
-  PYTHONUNBUFFERED=1 \
-  PATH="/opt/venv/bin:$PATH" \
-  PYTHONPATH=/usr/src
-
-COPY --chown=$MAMBA_USER:$MAMBA_USER conda-lock.yml /tmp/conda-lock.yml
-RUN micromamba install -y -n base -f /tmp/conda-lock.yml && \
-    micromamba remove -y -n base cxx-compiler && \
-    micromamba clean --all --yes
-
-WORKDIR /usr/src/app
-
-COPY --chown=$MAMBA_USER:$MAMBA_USER start.sh .
-COPY --chown=$MAMBA_USER:$MAMBA_USER app .
-
-ENTRYPOINT ["/usr/local/bin/_entrypoint.sh"]
-CMD ["./start.sh"]

machine-learning/export/env.dev.yaml

@@ -1,15 +0,0 @@
-name: base
-channels:
-  - conda-forge
-platforms:
-  - linux-64
-  - linux-aarch64
-dependencies:
-  - black
-  - conda-lock
-  - mypy
-  - pytest
-  - pytest-cov
-  - pytest-mock
-  - ruff
-category: dev

machine-learning/export/env.yaml

@@ -1,25 +0,0 @@
-name: base
-channels:
-  - conda-forge
-  - nvidia
-  - pytorch
-platforms:
-  - linux-64
-dependencies:
-  - cxx-compiler
-  - onnx==1.*
-  - onnxruntime==1.*
-  - open-clip-torch==2.*
-  - orjson==3.*
-  - pip
-  - python==3.11.*
-  - pytorch>=2.3
-  - rich==13.*
-  - safetensors==0.*
-  - setuptools==68.*
-  - torchvision
-  - transformers==4.*
-  - pip:
-    - multilingual-clip
-    - onnxsim
-category: main

machine-learning/export/immich_model_exporter/__init__.py

@@ -0,0 +1,165 @@
+import json
+import resource
+from pathlib import Path
+
+import typer
+from tenacity import retry, stop_after_attempt, wait_fixed
+from typing_extensions import Annotated
+
+from .exporters.constants import DELETE_PATTERNS, SOURCE_TO_METADATA, ModelSource, ModelTask
+from .exporters.onnx import export as onnx_export
+from .exporters.rknn import export as rknn_export
+
+app = typer.Typer(pretty_exceptions_show_locals=False)
+
+
+def generate_readme(model_name: str, model_source: ModelSource) -> str:
+    (name, link, type) = SOURCE_TO_METADATA[model_source]
+    match model_source:
+        case ModelSource.MCLIP:
+            tags = ["immich", "clip", "multilingual"]
+        case ModelSource.OPENCLIP:
+            tags = ["immich", "clip"]
+            lowered = model_name.lower()
+            if "xlm" in lowered or "nllb" in lowered:
+                tags.append("multilingual")
+        case ModelSource.INSIGHTFACE:
+            tags = ["immich", "facial-recognition"]
+        case _:
+            raise ValueError(f"Unsupported model source {model_source}")
+
+    return f"""---
+tags:
+{" - " + "\n - ".join(tags)}
+---
+# Model Description
+
+This repo contains ONNX exports for the associated {type} model by {name}. See the [{name}]({link}) repo for more info.
+
+This repo is specifically intended for use with [Immich](https://immich.app/), a self-hosted photo library.
+"""
+
+
+def clean_name(model_name: str) -> str:
+    hf_model_name = model_name.split("/")[-1]
+    hf_model_name = hf_model_name.replace("xlm-roberta-large", "XLM-Roberta-Large")
+    hf_model_name = hf_model_name.replace("xlm-roberta-base", "XLM-Roberta-Base")
+    return hf_model_name
+
+
+@app.command()
+def export(model_name: str, model_source: ModelSource, output_dir: Path = Path("models"), cache: bool = True) -> None:
+    hf_model_name = clean_name(model_name)
+    output_dir = output_dir / hf_model_name
+    match model_source:
+        case ModelSource.MCLIP | ModelSource.OPENCLIP:
+            output_dir.mkdir(parents=True, exist_ok=True)
+            onnx_export(model_name, model_source, output_dir, cache=cache)
+        case ModelSource.INSIGHTFACE:
+            from huggingface_hub import snapshot_download
+
+            # TODO: start from insightface dump instead of downloading from HF
+            snapshot_download(f"immich-app/{hf_model_name}", local_dir=output_dir)
+        case _:
+            raise ValueError(f"Unsupported model source {model_source}")
+
+    try:
+        rknn_export(output_dir, cache=cache)
+    except Exception as e:
+        print(f"Failed to export model {model_name} to rknn: {e}")
+        (output_dir / "rknpu").unlink(missing_ok=True)
+
+    readme_path = output_dir / "README.md"
+    if not (cache or readme_path.exists()):
+        with open(readme_path, "w") as f:
+            f.write(generate_readme(model_name, model_source))
+
+
+@app.command()
+def profile(model_dir: Path, model_task: ModelTask, output_path: Path) -> None:
+    from timeit import timeit
+
+    import numpy as np
+    import onnxruntime as ort
+
+    np.random.seed(0)
+
+    sess_options = ort.SessionOptions()
+    sess_options.enable_cpu_mem_arena = False
+    providers = ["CPUExecutionProvider"]
+    provider_options = [{"arena_extend_strategy": "kSameAsRequested"}]
+    match model_task:
+        case ModelTask.SEARCH:
+            textual = ort.InferenceSession(
+                model_dir / "textual" / "model.onnx",
+                sess_options=sess_options,
+                providers=providers,
+                provider_options=provider_options,
+            )
+            tokens = {node.name: np.random.rand(*node.shape).astype(np.int32) for node in textual.get_inputs()}
+
+            visual = ort.InferenceSession(
+                model_dir / "visual" / "model.onnx",
+                sess_options=sess_options,
+                providers=providers,
+                provider_options=provider_options,
+            )
+            image = {node.name: np.random.rand(*node.shape).astype(np.float32) for node in visual.get_inputs()}
+
+            def predict() -> None:
+                textual.run(None, tokens)
+                visual.run(None, image)
+
+        case ModelTask.FACIAL_RECOGNITION:
+            detection = ort.InferenceSession(
+                model_dir / "detection" / "model.onnx",
+                sess_options=sess_options,
+                providers=providers,
+                provider_options=provider_options,
+            )
+            image = {node.name: np.random.rand(1, 3, 640, 640).astype(np.float32) for node in detection.get_inputs()}
+
+            recognition = ort.InferenceSession(
+                model_dir / "recognition" / "model.onnx",
+                sess_options=sess_options,
+                providers=providers,
+                provider_options=provider_options,
+            )
+            face = {node.name: np.random.rand(1, 3, 112, 112).astype(np.float32) for node in recognition.get_inputs()}
+
+            def predict() -> None:
+                detection.run(None, image)
+                recognition.run(None, face)
+
+        case _:
+            raise ValueError(f"Unsupported model task {model_task}")
+    predict()
+    ms = timeit(predict, number=100)
+    rss = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
+    json.dump({"pretrained_model": model_dir.name, "peak_rss": rss, "exec_time_ms": ms}, output_path.open("w"))
+    print(f"Model {model_dir.name} took {ms:.2f}ms per iteration using {rss / 1024:.2f}MiB of memory")
+
+
+@app.command()
+def upload(
+    model_dir: Path,
+    hf_organization: str = "immich-app",
+    hf_auth_token: Annotated[str | None, typer.Option(envvar="HF_AUTH_TOKEN")] = None,
+) -> None:
+    from huggingface_hub import create_repo, upload_folder
+
+    repo_id = f"{hf_organization}/{model_dir.name}"
+
+    @retry(stop=stop_after_attempt(5), wait=wait_fixed(5))
+    def upload_model() -> None:
+        create_repo(repo_id, exist_ok=True, token=hf_auth_token)
+        upload_folder(
+            repo_id=repo_id,
+            folder_path=model_dir,
+            # remote repo files to be deleted before uploading
+            # deletion is in the same commit as the upload, so it's atomic
+            delete_patterns=DELETE_PATTERNS,
+            token=hf_auth_token,
+        )
+
+    upload_model()

machine-learning/export/immich_model_exporter/__main__.py

@@ -0,0 +1,3 @@
+from immich_model_exporter import app
+
+app()

machine-learning/export/immich_model_exporter/exporters/constants.py

@@ -0,0 +1,54 @@
+from enum import StrEnum
+from typing import NamedTuple
+
+
+class ModelSource(StrEnum):
+    INSIGHTFACE = "insightface"
+    MCLIP = "mclip"
+    OPENCLIP = "openclip"
+
+
+class ModelTask(StrEnum):
+    FACIAL_RECOGNITION = "facial-recognition"
+    SEARCH = "clip"
+
+
+class SourceMetadata(NamedTuple):
+    name: str
+    link: str
+    type: str
+
+
+SOURCE_TO_METADATA = {
+    ModelSource.MCLIP: SourceMetadata("M-CLIP", "https://huggingface.co/M-CLIP", "CLIP"),
+    ModelSource.OPENCLIP: SourceMetadata("OpenCLIP", "https://github.com/mlfoundations/open_clip", "CLIP"),
+    ModelSource.INSIGHTFACE: SourceMetadata(
+        "InsightFace", "https://github.com/deepinsight/insightface/tree/master", "facial recognition"
+    ),
+}
+
+
+SOURCE_TO_TASK = {
+    ModelSource.MCLIP: ModelTask.SEARCH,
+    ModelSource.OPENCLIP: ModelTask.SEARCH,
+    ModelSource.INSIGHTFACE: ModelTask.FACIAL_RECOGNITION,
+}
+
+RKNN_SOCS = ["rk3566", "rk3568", "rk3576", "rk3588"]
+
+
+# glob to delete old UUID blobs when reuploading models
+_uuid_char = "[a-fA-F0-9]"
+_uuid_glob = _uuid_char * 8 + "-" + _uuid_char * 4 + "-" + _uuid_char * 4 + "-" + _uuid_char * 4 + "-" + _uuid_char * 12
+DELETE_PATTERNS = [
+    "**/*onnx*",
+    "**/Constant*",
+    "**/*.weight",
+    "**/*.bias",
+    "**/*.proj",
+    "**/*in_proj_bias",
+    "**/*.npy",
+    "**/*.latent",
+    "**/*.pos_embed",
+    f"**/{_uuid_glob}",
+]

machine-learning/export/immich_model_exporter/exporters/onnx/__init__.py

@@ -0,0 +1,20 @@
+from pathlib import Path
+
+from ..constants import ModelSource
+from .models import mclip, openclip
+
+
+def export(
+    model_name: str, model_source: ModelSource, output_dir: Path, opset_version: int = 19, cache: bool = True
+) -> None:
+    visual_dir = output_dir / "visual"
+    textual_dir = output_dir / "textual"
+    match model_source:
+        case ModelSource.MCLIP:
+            mclip.to_onnx(model_name, opset_version, visual_dir, textual_dir, cache=cache)
+        case ModelSource.OPENCLIP:
+            name, _, pretrained = model_name.partition("__")
+            config = openclip.OpenCLIPModelConfig(name, pretrained)
+            openclip.to_onnx(config, opset_version, visual_dir, textual_dir, cache=cache)
+        case _:
+            raise ValueError(f"Unsupported model source {model_source}")

machine-learning/export/immich_model_exporter/exporters/onnx/models/mclip.py

@@ -1,11 +1,6 @@
-import os
-import tempfile
 import warnings
 from pathlib import Path
-
-import torch
-from multilingual_clip.pt_multilingual_clip import MultilingualCLIP
-from transformers import AutoTokenizer
+from typing import Any
 
 from .openclip import OpenCLIPModelConfig
 from .openclip import to_onnx as openclip_to_onnx
@@ -21,25 +16,38 @@ _MCLIP_TO_OPENCLIP = {
 
 def to_onnx(
     model_name: str,
+    opset_version: int,
     output_dir_visual: Path | str,
     output_dir_textual: Path | str,
+    cache: bool = True,
 ) -> tuple[Path, Path]:
     textual_path = get_model_path(output_dir_textual)
-    with tempfile.TemporaryDirectory() as tmpdir:
-        model = MultilingualCLIP.from_pretrained(model_name, cache_dir=os.environ.get("CACHE_DIR", tmpdir))
+    if not cache or not textual_path.exists():
+        import torch
+        from multilingual_clip.pt_multilingual_clip import MultilingualCLIP
+        from transformers import AutoTokenizer
+
+        torch.backends.mha.set_fastpath_enabled(False)
+
+        model = MultilingualCLIP.from_pretrained(model_name)
         AutoTokenizer.from_pretrained(model_name).save_pretrained(output_dir_textual)
 
         model.eval()
         for param in model.parameters():
             param.requires_grad_(False)
 
-        export_text_encoder(model, textual_path)
-        visual_path, _ = openclip_to_onnx(_MCLIP_TO_OPENCLIP[model_name], output_dir_visual)
-        assert visual_path is not None, "Visual model export failed"
+        _export_text_encoder(model, textual_path, opset_version)
+    else:
+        print(f"Model {textual_path} already exists, skipping")
+    visual_path, _ = openclip_to_onnx(_MCLIP_TO_OPENCLIP[model_name], opset_version, output_dir_visual, cache=cache)
+    assert visual_path is not None, "Visual model export failed"
     return visual_path, textual_path
 
 
-def export_text_encoder(model: MultilingualCLIP, output_path: Path | str) -> None:
+def _export_text_encoder(model: Any, output_path: Path | str, opset_version: int) -> None:
+    import torch
+    from multilingual_clip.pt_multilingual_clip import MultilingualCLIP
+
     output_path = Path(output_path)
 
     def forward(self: MultilingualCLIP, input_ids: torch.Tensor, attention_mask: torch.Tensor) -> torch.Tensor:
@@ -61,7 +69,7 @@ def export_text_encoder(model: MultilingualCLIP, output_path: Path | str) -> Non
             output_path.as_posix(),
             input_names=["input_ids", "attention_mask"],
             output_names=["embedding"],
-            opset_version=17,
+            opset_version=opset_version,
             # dynamic_axes={
             #     "input_ids": {0: "batch_size", 1: "sequence_length"},
             #     "attention_mask": {0: "batch_size", 1: "sequence_length"},

machine-learning/export/immich_model_exporter/exporters/onnx/models/openclip.py

@@ -0,0 +1,151 @@
+import warnings
+from dataclasses import dataclass
+from functools import cached_property
+from pathlib import Path
+from typing import Any
+
+from .util import get_model_path, save_config
+
+
+@dataclass
+class OpenCLIPModelConfig:
+    name: str
+    pretrained: str
+
+    @cached_property
+    def model_config(self) -> dict[str, Any]:
+        import open_clip
+
+        config: dict[str, Any] | None = open_clip.get_model_config(self.name)
+        if config is None:
+            raise ValueError(f"Unknown model {self.name}")
+        return config
+
+    @property
+    def image_size(self) -> int:
+        image_size: int = self.model_config["vision_cfg"]["image_size"]
+        return image_size
+
+    @property
+    def sequence_length(self) -> int:
+        context_length: int = self.model_config["text_cfg"].get("context_length", 77)
+        return context_length
+
+
+def to_onnx(
+    model_cfg: OpenCLIPModelConfig,
+    opset_version: int,
+    output_dir_visual: Path | str | None = None,
+    output_dir_textual: Path | str | None = None,
+    cache: bool = True,
+) -> tuple[Path | None, Path | None]:
+    visual_path = None
+    textual_path = None
+    if output_dir_visual is not None:
+        output_dir_visual = Path(output_dir_visual)
+        visual_path = get_model_path(output_dir_visual)
+
+    if output_dir_textual is not None:
+        output_dir_textual = Path(output_dir_textual)
+        textual_path = get_model_path(output_dir_textual)
+
+    if cache and ((textual_path is None or textual_path.exists()) and (visual_path is None or visual_path.exists())):
+        print(f"Models {textual_path} and {visual_path} already exist, skipping")
+        return visual_path, textual_path
+
+    import open_clip
+    import torch
+    from transformers import AutoTokenizer
+
+    torch.backends.mha.set_fastpath_enabled(False)
+
+    model = open_clip.create_model(
+        model_cfg.name,
+        pretrained=model_cfg.pretrained,
+        jit=False,
+        require_pretrained=True,
+    )
+
+    text_vision_cfg = open_clip.get_model_config(model_cfg.name)
+
+    model.eval()
+    for param in model.parameters():
+        param.requires_grad_(False)
+
+    if visual_path is not None and output_dir_visual is not None:
+        if not cache or not visual_path.exists():
+            save_config(
+                open_clip.get_model_preprocess_cfg(model),
+                output_dir_visual / "preprocess_cfg.json",
+            )
+            save_config(text_vision_cfg, output_dir_visual.parent / "config.json")
+            _export_image_encoder(model, model_cfg, visual_path, opset_version)
+        else:
+            print(f"Model {visual_path} already exists, skipping")
+
+    if textual_path is not None and output_dir_textual is not None:
+        if not cache or not textual_path.exists():
+            tokenizer_name = text_vision_cfg["text_cfg"].get("hf_tokenizer_name", "openai/clip-vit-base-patch32")
+            AutoTokenizer.from_pretrained(tokenizer_name).save_pretrained(output_dir_textual)
+            _export_text_encoder(model, model_cfg, textual_path, opset_version)
+        else:
+            print(f"Model {textual_path} already exists, skipping")
+    return visual_path, textual_path
+
+
+def _export_image_encoder(
+    model: Any, model_cfg: OpenCLIPModelConfig, output_path: Path | str, opset_version: int
+) -> None:
+    import torch
+
+    output_path = Path(output_path)
+
+    def encode_image(image: torch.Tensor) -> torch.Tensor:
+        output = model.encode_image(image, normalize=True)
+        assert isinstance(output, torch.Tensor)
+        return output
+
+    model.forward = encode_image
+
+    args = (torch.randn(1, 3, model_cfg.image_size, model_cfg.image_size),)
+
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", UserWarning)
+        torch.onnx.export(
+            model,
+            args,
+            output_path.as_posix(),
+            input_names=["image"],
+            output_names=["embedding"],
+            opset_version=opset_version,
+            # dynamic_axes={"image": {0: "batch_size"}},
+        )
+
+
+def _export_text_encoder(
+    model: Any, model_cfg: OpenCLIPModelConfig, output_path: Path | str, opset_version: int
+) -> None:
+    import torch
+
+    output_path = Path(output_path)
+
+    def encode_text(text: torch.Tensor) -> torch.Tensor:
+        output = model.encode_text(text, normalize=True)
+        assert isinstance(output, torch.Tensor)
+        return output
+
+    model.forward = encode_text
+
+    args = (torch.ones(1, model_cfg.sequence_length, dtype=torch.int32),)
+
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", UserWarning)
+        torch.onnx.export(
+            model,
+            args,
+            output_path.as_posix(),
+            input_names=["text"],
+            output_names=["embedding"],
+            opset_version=opset_version,
+            # dynamic_axes={"text": {0: "batch_size"}},
+        )

machine-learning/export/immich_model_exporter/exporters/rknn.py

@@ -0,0 +1,96 @@
+from pathlib import Path
+
+from .constants import RKNN_SOCS
+
+
+def _export_platform(
+    model_dir: Path,
+    target_platform: str,
+    inputs: list[str] | None = None,
+    input_size_list: list[list[int]] | None = None,
+    fuse_matmul_softmax_matmul_to_sdpa: bool = True,
+    cache: bool = True,
+) -> None:
+    from rknn.api import RKNN
+
+    input_path = model_dir / "model.onnx"
+    output_path = model_dir / "rknpu" / target_platform / "model.rknn"
+    if cache and output_path.exists():
+        print(f"Model {input_path} already exists at {output_path}, skipping")
+        return
+
+    print(f"Exporting model {input_path} to {output_path}")
+
+    rknn = RKNN(verbose=False)
+
+    rknn.config(
+        target_platform=target_platform,
+        disable_rules=["fuse_matmul_softmax_matmul_to_sdpa"] if not fuse_matmul_softmax_matmul_to_sdpa else [],
+        enable_flash_attention=False,
+        model_pruning=True,
+    )
+    ret = rknn.load_onnx(model=input_path.as_posix(), inputs=inputs, input_size_list=input_size_list)
+
+    if ret != 0:
+        raise RuntimeError("Load failed!")
+
+    ret = rknn.build(do_quantization=False)
+
+    if ret != 0:
+        raise RuntimeError("Build failed!")
+
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    ret = rknn.export_rknn(output_path.as_posix())
+    if ret != 0:
+        raise RuntimeError("Export rknn model failed!")
+
+
+def _export_platforms(
+    model_dir: Path,
+    inputs: list[str] | None = None,
+    input_size_list: list[list[int]] | None = None,
+    cache: bool = True,
+) -> None:
+    fuse_matmul_softmax_matmul_to_sdpa = True
+    for soc in RKNN_SOCS:
+        try:
+            _export_platform(
+                model_dir,
+                soc,
+                inputs=inputs,
+                input_size_list=input_size_list,
+                fuse_matmul_softmax_matmul_to_sdpa=fuse_matmul_softmax_matmul_to_sdpa,
+                cache=cache,
+            )
+        except Exception as e:
+            print(f"Failed to export model for {soc}: {e}")
+            if "inputs or 'outputs' must be set" in str(e):
+                print("Retrying without fuse_matmul_softmax_matmul_to_sdpa")
+                fuse_matmul_softmax_matmul_to_sdpa = False
+                _export_platform(
+                    model_dir,
+                    soc,
+                    inputs=inputs,
+                    input_size_list=input_size_list,
+                    fuse_matmul_softmax_matmul_to_sdpa=fuse_matmul_softmax_matmul_to_sdpa,
+                    cache=cache,
+                )
+
+
+def export(model_dir: Path, cache: bool = True) -> None:
+    textual = model_dir / "textual"
+    visual = model_dir / "visual"
+    detection = model_dir / "detection"
+    recognition = model_dir / "recognition"
+
+    if textual.is_dir():
+        _export_platforms(textual, cache=cache)
+
+    if visual.is_dir():
+        _export_platforms(visual, cache=cache)
+
+    if detection.is_dir():
+        _export_platforms(detection, inputs=["input.1"], input_size_list=[[1, 3, 640, 640]], cache=cache)
+
+    if recognition.is_dir():
+        _export_platforms(recognition, inputs=["input.1"], input_size_list=[[1, 3, 112, 112]], cache=cache)

machine-learning/export/immich_model_exporter/get_dims.py

@@ -0,0 +1,22 @@
+import json
+from pathlib import Path
+
+models_dir = Path("models")
+model_to_embed_dim = {}
+for model_dir in models_dir.iterdir():
+    if not model_dir.is_dir():
+        continue
+
+    config_path = model_dir / "config.json"
+    if not config_path.exists():
+        print(f"Skipping {model_dir.name} as it does not have a config.json")
+        continue
+    with open(config_path) as f:
+        config = json.load(f)
+        embed_dim = config.get("embed_dim")
+        if embed_dim is None:
+            print(f"Skipping {model_dir.name} as it does not have an embed_dim")
+            continue
+        print(f"{model_dir.name}: {embed_dim}")
+        model_to_embed_dim[model_dir.name] = {"dimSize": embed_dim}
+print(json.dumps(model_to_embed_dim))

machine-learning/export/immich_model_exporter/parse_eval_data.py

@@ -0,0 +1,121 @@
+import polars as pl
+
+
+def collapsed_table(language: str, df: pl.DataFrame) -> str:
+    with pl.Config(
+        tbl_formatting="ASCII_MARKDOWN",
+        tbl_hide_column_data_types=True,
+        tbl_hide_dataframe_shape=True,
+        fmt_str_lengths=100,
+        tbl_rows=1000,
+        tbl_width_chars=1000,
+    ):
+        return f"<details>\n<summary>{language}</summary>\n{str(df)}\n</details>"
+
+
+languages = {
+    "en": "English",
+    "ar": "Arabic",
+    "bn": "Bengali",
+    "zh": "Chinese (Simplified)",
+    "hr": "Croatian",
+    "quz": "Cusco Quechua",
+    "cs": "Czech",
+    "da": "Danish",
+    "nl": "Dutch",
+    "fil": "Filipino",
+    "fi": "Finnish",
+    "fr": "French",
+    "de": "German",
+    "el": "Greek",
+    "he": "Hebrew",
+    "hi": "Hindi",
+    "hu": "Hungarian",
+    "id": "Indonesian",
+    "it": "Italian",
+    "ja": "Japanese",
+    "ko": "Korean",
+    "mi": "Maori",
+    "no": "Norwegian",
+    "fa": "Persian",
+    "pl": "Polish",
+    "pt": "Portuguese",
+    "ro": "Romanian",
+    "ru": "Russian",
+    "es": "Spanish",
+    "sw": "Swahili",
+    "sv": "Swedish",
+    "te": "Telugu",
+    "th": "Thai",
+    "tr": "Turkish",
+    "uk": "Ukrainian",
+    "vi": "Vietnamese",
+}
+
+profile_df = pl.scan_ndjson("profiling/*.json").select("pretrained_model", "peak_rss", "exec_time_ms")
+eval_df = pl.scan_ndjson("results/*.json").select("model", "pretrained", "language", "metrics")
+
+eval_df = eval_df.with_columns(
+    model=pl.col("model")
+    .str.replace("xlm-roberta-base", "XLM-Roberta-Base")
+    .str.replace("xlm-roberta-large", "XLM-Roberta-Large")
+)
+eval_df = eval_df.with_columns(pretrained_model=pl.concat_str(pl.col("model"), pl.col("pretrained"), separator="__"))
+eval_df = eval_df.drop("model", "pretrained")
+eval_df = eval_df.join(profile_df, on="pretrained_model")
+
+eval_df = eval_df.with_columns(
+    recall=(
+        pl.col("metrics").struct.field("image_retrieval_recall@1")
+        + pl.col("metrics").struct.field("image_retrieval_recall@5")
+        + pl.col("metrics").struct.field("image_retrieval_recall@10")
+    )
+    * (100 / 3)
+)
+
+pareto_front = eval_df.join_where(
+    eval_df.select("language", "peak_rss", "exec_time_ms", "recall").rename(
+        {
+            "language": "language_other",
+            "peak_rss": "peak_rss_other",
+            "exec_time_ms": "exec_time_ms_other",
+            "recall": "recall_other",
+        }
+    ),
+    (pl.col("language") == pl.col("language_other"))
+    & (pl.col("peak_rss_other") <= pl.col("peak_rss"))
+    & (pl.col("exec_time_ms_other") <= pl.col("exec_time_ms"))
+    & (pl.col("recall_other") >= pl.col("recall"))
+    & (
+        (pl.col("peak_rss_other") < pl.col("peak_rss"))
+        | (pl.col("exec_time_ms_other") < pl.col("exec_time_ms"))
+        | (pl.col("recall_other") > pl.col("recall"))
+    ),
+)
+eval_df = eval_df.join(pareto_front, on=["pretrained_model", "language"], how="left")
+eval_df = eval_df.with_columns(is_pareto=pl.col("recall_other").is_null())
+eval_df = (
+    eval_df.drop("peak_rss_other", "exec_time_ms_other", "recall_other", "language_other")
+    .unique(subset=["pretrained_model", "language"])
+    .collect()
+)
+eval_df.write_parquet("model_info.parquet")
+
+eval_df = eval_df.drop("metrics")
+eval_df = eval_df.filter(pl.col("recall") >= 20)
+eval_df = eval_df.sort("recall", descending=True)
+eval_df = eval_df.select(
+    pl.col("pretrained_model").alias("Model"),
+    (pl.col("peak_rss") / 1024).round().cast(pl.UInt32).alias("Memory (MiB)"),
+    pl.col("exec_time_ms").round(2).alias("Execution Time (ms)"),
+    pl.col("language").alias("Language"),
+    pl.col("recall").round(2).alias("Recall (%)"),
+    pl.when(pl.col("is_pareto")).then(pl.lit("✅")).otherwise(pl.lit("❌")).alias("Pareto Optimal"),
+)
+
+
+for language in languages:
+    lang_df = eval_df.filter(pl.col("Language") == language).drop("Language")
+    if lang_df.shape[0] == 0:
+        continue
+    print(collapsed_table(languages[language], lang_df))

machine-learning/export/immich_model_exporter/run.py

@@ -0,0 +1,171 @@
+import subprocess
+from pathlib import Path
+
+from exporters.constants import ModelSource
+
+from immich_model_exporter import clean_name
+from immich_model_exporter.exporters.constants import SOURCE_TO_TASK
+
+mclip = [
+    "M-CLIP/LABSE-Vit-L-14",
+    "M-CLIP/XLM-Roberta-Large-Vit-B-16Plus",
+    "M-CLIP/XLM-Roberta-Large-Vit-B-32",
+    "M-CLIP/XLM-Roberta-Large-Vit-L-14",
+]
+
+openclip = [
+    "RN101__openai",
+    "RN101__yfcc15m",
+    "RN50__cc12m",
+    "RN50__openai",
+    "RN50__yfcc15m",
+    "RN50x16__openai",
+    "RN50x4__openai",
+    "RN50x64__openai",
+    "ViT-B-16-SigLIP-256__webli",
+    "ViT-B-16-SigLIP-384__webli",
+    "ViT-B-16-SigLIP-512__webli",
+    "ViT-B-16-SigLIP-i18n-256__webli",
+    "ViT-B-16-SigLIP2__webli",
+    "ViT-B-16-SigLIP__webli",
+    "ViT-B-16-plus-240__laion400m_e31",
+    "ViT-B-16-plus-240__laion400m_e32",
+    "ViT-B-16__laion400m_e31",
+    "ViT-B-16__laion400m_e32",
+    "ViT-B-16__openai",
+    "ViT-B-32-SigLIP2-256__webli",
+    "ViT-B-32__laion2b-s34b-b79k",
+    "ViT-B-32__laion2b_e16",
+    "ViT-B-32__laion400m_e31",
+    "ViT-B-32__laion400m_e32",
+    "ViT-B-32__openai",
+    "ViT-H-14-378-quickgelu__dfn5b",
+    "ViT-H-14-quickgelu__dfn5b",
+    "ViT-H-14__laion2b-s32b-b79k",
+    "ViT-L-14-336__openai",
+    "ViT-L-14-quickgelu__dfn2b",
+    "ViT-L-14__laion2b-s32b-b82k",
+    "ViT-L-14__laion400m_e31",
+    "ViT-L-14__laion400m_e32",
+    "ViT-L-14__openai",
+    "ViT-L-16-SigLIP-256__webli",
+    "ViT-L-16-SigLIP-384__webli",
+    "ViT-L-16-SigLIP2-256__webli",
+    "ViT-L-16-SigLIP2-384__webli",
+    "ViT-L-16-SigLIP2-512__webli",
+    "ViT-SO400M-14-SigLIP-384__webli",
+    "ViT-SO400M-14-SigLIP2-378__webli",
+    "ViT-SO400M-14-SigLIP2__webli",
+    "ViT-SO400M-16-SigLIP2-256__webli",
+    "ViT-SO400M-16-SigLIP2-384__webli",
+    "ViT-SO400M-16-SigLIP2-512__webli",
+    "ViT-gopt-16-SigLIP2-256__webli",
+    "ViT-gopt-16-SigLIP2-384__webli",
+    "nllb-clip-base-siglip__mrl",
+    "nllb-clip-base-siglip__v1",
+    "nllb-clip-large-siglip__mrl",
+    "nllb-clip-large-siglip__v1",
+    "xlm-roberta-base-ViT-B-32__laion5b_s13b_b90k",
+    "xlm-roberta-large-ViT-H-14__frozen_laion5b_s13b_b90k",
+]
+
+insightface = [
+    "antelopev2",
+    "buffalo_l",
+    "buffalo_m",
+    "buffalo_s",
+]
+
+
+def export_models(models: list[str], source: ModelSource) -> None:
+    profiling_dir = Path("profiling")
+    profiling_dir.mkdir(exist_ok=True)
+    for model in models:
+        try:
+            model_dir = f"models/{clean_name(model)}"
+            task = SOURCE_TO_TASK[source]
+
+            print(f"Processing model {model}")
+            subprocess.check_call(["python", "-m", "immich_model_exporter", "export", model, source])
+            subprocess.check_call(
+                [
+                    "python",
+                    "-m",
+                    "immich_model_exporter",
+                    "profile",
+                    model_dir,
+                    task,
+                    "--output_path",
+                    profiling_dir / f"{model}.json",
+                ]
+            )
+            subprocess.check_call(["python", "-m", "immich_model_exporter", "upload", model_dir])
+        except Exception as e:
+            print(f"Failed to export model {model}: {e}")
+
+
+if __name__ == "__main__":
+    export_models(mclip, ModelSource.MCLIP)
+    export_models(openclip, ModelSource.OPENCLIP)
+    export_models(insightface, ModelSource.INSIGHTFACE)
+
+    Path("results").mkdir(exist_ok=True)
+    subprocess.check_call(
+        [
+            "python",
+            "clip_benchmark",
+            "eval",
+            "--pretrained_model",
+            *[name.replace("__", ",") for name in openclip],
+            "--task",
+            "zeroshot_retrieval",
+            "--dataset",
+            "crossmodal3600",
+            "--batch_size",
+            "64",
+            "--language",
+            "ar",
+            "bn",
+            "cs",
+            "da",
+            "de",
+            "el",
+            "en",
+            "es",
+            "fa",
+            "fi",
+            "fil",
+            "fr",
+            "he",
+            "hi",
+            "hr",
+            "hu",
+            "id",
+            "it",
+            "ja",
+            "ko",
+            "mi",
+            "nl",
+            "no",
+            "pl",
+            "pt",
+            "quz",
+            "ro",
+            "ru",
+            "sv",
+            "sw",
+            "te",
+            "th",
+            "tr",
+            "uk",
+            "vi",
+            "zh",
+            "--recall_k",
+            "1",
+            "5",
+            "10",
+            "--no_amp",
+            "--output",
+            "results/{dataset}_{language}_{model}_{pretrained}.json",
+        ]
+    )

machine-learning/export/models/openclip.py

@@ -1,114 +0,0 @@
-import os
-import tempfile
-import warnings
-from dataclasses import dataclass, field
-from pathlib import Path
-
-import open_clip
-import torch
-from transformers import AutoTokenizer
-
-from .util import get_model_path, save_config
-
-
-@dataclass
-class OpenCLIPModelConfig:
-    name: str
-    pretrained: str
-    image_size: int = field(init=False)
-    sequence_length: int = field(init=False)
-
-    def __post_init__(self) -> None:
-        open_clip_cfg = open_clip.get_model_config(self.name)
-        if open_clip_cfg is None:
-            raise ValueError(f"Unknown model {self.name}")
-        self.image_size = open_clip_cfg["vision_cfg"]["image_size"]
-        self.sequence_length = open_clip_cfg["text_cfg"].get("context_length", 77)
-
-
-def to_onnx(
-    model_cfg: OpenCLIPModelConfig,
-    output_dir_visual: Path | str | None = None,
-    output_dir_textual: Path | str | None = None,
-) -> tuple[Path | None, Path | None]:
-    visual_path = None
-    textual_path = None
-    with tempfile.TemporaryDirectory() as tmpdir:
-        model = open_clip.create_model(
-            model_cfg.name,
-            pretrained=model_cfg.pretrained,
-            jit=False,
-            cache_dir=os.environ.get("CACHE_DIR", tmpdir),
-            require_pretrained=True,
-        )
-
-        text_vision_cfg = open_clip.get_model_config(model_cfg.name)
-
-        model.eval()
-        for param in model.parameters():
-            param.requires_grad_(False)
-
-        if output_dir_visual is not None:
-            output_dir_visual = Path(output_dir_visual)
-            visual_path = get_model_path(output_dir_visual)
-
-            save_config(open_clip.get_model_preprocess_cfg(model), output_dir_visual / "preprocess_cfg.json")
-            save_config(text_vision_cfg, output_dir_visual.parent / "config.json")
-            export_image_encoder(model, model_cfg, visual_path)
-
-        if output_dir_textual is not None:
-            output_dir_textual = Path(output_dir_textual)
-            textual_path = get_model_path(output_dir_textual)
-
-            tokenizer_name = text_vision_cfg["text_cfg"].get("hf_tokenizer_name", "openai/clip-vit-base-patch32")
-            AutoTokenizer.from_pretrained(tokenizer_name).save_pretrained(output_dir_textual)
-            export_text_encoder(model, model_cfg, textual_path)
-    return visual_path, textual_path
-
-
-def export_image_encoder(model: open_clip.CLIP, model_cfg: OpenCLIPModelConfig, output_path: Path | str) -> None:
-    output_path = Path(output_path)
-
-    def encode_image(image: torch.Tensor) -> torch.Tensor:
-        output = model.encode_image(image, normalize=True)
-        assert isinstance(output, torch.Tensor)
-        return output
-
-    args = (torch.randn(1, 3, model_cfg.image_size, model_cfg.image_size),)
-    traced = torch.jit.trace(encode_image, args)  # type: ignore[no-untyped-call]
-
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", UserWarning)
-        torch.onnx.export(
-            traced,
-            args,
-            output_path.as_posix(),
-            input_names=["image"],
-            output_names=["embedding"],
-            opset_version=17,
-            # dynamic_axes={"image": {0: "batch_size"}},
-        )
-
-
-def export_text_encoder(model: open_clip.CLIP, model_cfg: OpenCLIPModelConfig, output_path: Path | str) -> None:
-    output_path = Path(output_path)
-
-    def encode_text(text: torch.Tensor) -> torch.Tensor:
-        output = model.encode_text(text, normalize=True)
-        assert isinstance(output, torch.Tensor)
-        return output
-
-    args = (torch.ones(1, model_cfg.sequence_length, dtype=torch.int32),)
-    traced = torch.jit.trace(encode_text, args)  # type: ignore[no-untyped-call]
-
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", UserWarning)
-        torch.onnx.export(
-            traced,
-            args,
-            output_path.as_posix(),
-            input_names=["text"],
-            output_names=["embedding"],
-            opset_version=17,
-            # dynamic_axes={"text": {0: "batch_size"}},
-        )

machine-learning/export/models/optimize.py

@@ -1,49 +0,0 @@
-from pathlib import Path
-
-import onnx
-import onnxruntime as ort
-import onnxsim
-
-
-def save_onnx(model: onnx.ModelProto, output_path: Path | str) -> None:
-    try:
-        onnx.save(model, output_path)
-    except ValueError as e:
-        if "The proto size is larger than the 2 GB limit." in str(e):
-            onnx.save(model, output_path, save_as_external_data=True, size_threshold=1_000_000)
-        else:
-            raise e
-
-
-def optimize_onnxsim(model_path: Path | str, output_path: Path | str) -> None:
-    model_path = Path(model_path)
-    output_path = Path(output_path)
-    model = onnx.load(model_path.as_posix())
-    model, check = onnxsim.simplify(model)
-    assert check, "Simplified ONNX model could not be validated"
-    for file in model_path.parent.iterdir():
-        if file.name.startswith("Constant") or "onnx" in file.name or file.suffix == ".weight":
-            file.unlink()
-    save_onnx(model, output_path)
-
-
-def optimize_ort(
-    model_path: Path | str,
-    output_path: Path | str,
-    level: ort.GraphOptimizationLevel = ort.GraphOptimizationLevel.ORT_ENABLE_BASIC,
-) -> None:
-    model_path = Path(model_path)
-    output_path = Path(output_path)
-
-    sess_options = ort.SessionOptions()
-    sess_options.graph_optimization_level = level
-    sess_options.optimized_model_filepath = output_path.as_posix()
-
-    ort.InferenceSession(model_path.as_posix(), providers=["CPUExecutionProvider"], sess_options=sess_options)
-
-
-def optimize(model_path: Path | str) -> None:
-    model_path = Path(model_path)
-
-    optimize_ort(model_path, model_path)
-    optimize_onnxsim(model_path, model_path)

machine-learning/export/pyproject.toml

@@ -0,0 +1,60 @@
+[project]
+name = "immich_model_exporter"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.10, <4.0"
+dependencies = [
+  "huggingface-hub>=0.29.3",
+  "multilingual-clip>=1.0.10",
+  "onnx>=1.14.1",
+  "onnxruntime>=1.16.0",
+  "open-clip-torch>=2.31.0",
+  "typer>=0.15.2",
+  "rknn-toolkit2>=2.3.0",
+  "transformers>=4.49.0",
+  "tenacity>=9.0.0",
+  "clip-benchmark>=1.6.1",
+  "polars>=1.25.2",
+]
+
+[dependency-groups]
+dev = ["black>=23.3.0", "mypy>=1.3.0", "ruff>=0.0.272"]
+
+[tool.uv]
+override-dependencies = [
+  "onnx>=1.16.0,<2",
+  "onnxruntime>=1.18.2,<2",
+  "torch>=2.4",
+  "torchvision>=0.21",
+]
+
+[tool.hatch.build.targets.sdist]
+include = ["immich_model_exporter"]
+
+[tool.hatch.build.targets.wheel]
+include = ["immich_model_exporter"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.mypy]
+python_version = "3.12"
+follow_imports = "silent"
+warn_redundant_casts = true
+disallow_any_generics = true
+check_untyped_defs = true
+disallow_untyped_defs = true
+ignore_missing_imports = true
+
+[tool.ruff]
+line-length = 120
+target-version = "py312"
+
+[tool.ruff.lint]
+select = ["E", "F", "I"]
+
+[tool.black]
+line-length = 120
+target-version = ['py312']

machine-learning/export/run.py

@@ -1,113 +0,0 @@
-import gc
-import os
-from pathlib import Path
-from tempfile import TemporaryDirectory
-
-import torch
-from huggingface_hub import create_repo, upload_folder
-from models import mclip, openclip
-from models.optimize import optimize
-from rich.progress import Progress
-
-models = [
-    "M-CLIP/LABSE-Vit-L-14",
-    "M-CLIP/XLM-Roberta-Large-Vit-B-16Plus",
-    "M-CLIP/XLM-Roberta-Large-Vit-B-32",
-    "M-CLIP/XLM-Roberta-Large-Vit-L-14",
-    "RN101::openai",
-    "RN101::yfcc15m",
-    "RN50::cc12m",
-    "RN50::openai",
-    "RN50::yfcc15m",
-    "RN50x16::openai",
-    "RN50x4::openai",
-    "RN50x64::openai",
-    "ViT-B-16-SigLIP-256::webli",
-    "ViT-B-16-SigLIP-384::webli",
-    "ViT-B-16-SigLIP-512::webli",
-    "ViT-B-16-SigLIP-i18n-256::webli",
-    "ViT-B-16-SigLIP::webli",
-    "ViT-B-16-plus-240::laion400m_e31",
-    "ViT-B-16-plus-240::laion400m_e32",
-    "ViT-B-16::laion400m_e31",
-    "ViT-B-16::laion400m_e32",
-    "ViT-B-16::openai",
-    "ViT-B-32::laion2b-s34b-b79k",
-    "ViT-B-32::laion2b_e16",
-    "ViT-B-32::laion400m_e31",
-    "ViT-B-32::laion400m_e32",
-    "ViT-B-32::openai",
-    "ViT-H-14-378-quickgelu::dfn5b",
-    "ViT-H-14-quickgelu::dfn5b",
-    "ViT-H-14::laion2b-s32b-b79k",
-    "ViT-L-14-336::openai",
-    "ViT-L-14-quickgelu::dfn2b",
-    "ViT-L-14::laion2b-s32b-b82k",
-    "ViT-L-14::laion400m_e31",
-    "ViT-L-14::laion400m_e32",
-    "ViT-L-14::openai",
-    "ViT-L-16-SigLIP-256::webli",
-    "ViT-L-16-SigLIP-384::webli",
-    "ViT-SO400M-14-SigLIP-384::webli",
-    "ViT-g-14::laion2b-s12b-b42k",
-    "nllb-clip-base-siglip::mrl",
-    "nllb-clip-base-siglip::v1",
-    "nllb-clip-large-siglip::mrl",
-    "nllb-clip-large-siglip::v1",
-    "xlm-roberta-base-ViT-B-32::laion5b_s13b_b90k",
-    "xlm-roberta-large-ViT-H-14::frozen_laion5b_s13b_b90k",
-]
-
-# glob to delete old UUID blobs when reuploading models
-uuid_char = "[a-fA-F0-9]"
-uuid_glob = uuid_char * 8 + "-" + uuid_char * 4 + "-" + uuid_char * 4 + "-" + uuid_char * 4 + "-" + uuid_char * 12
-
-# remote repo files to be deleted before uploading
-# deletion is in the same commit as the upload, so it's atomic
-delete_patterns = ["**/*onnx*", "**/Constant*", "**/*.weight", "**/*.bias", f"**/{uuid_glob}"]
-
-with Progress() as progress:
-    task = progress.add_task("[green]Exporting models...", total=len(models))
-    token = os.environ.get("HF_AUTH_TOKEN")
-    torch.backends.mha.set_fastpath_enabled(False)
-    with TemporaryDirectory() as tmp:
-        tmpdir = Path(tmp)
-        for model in models:
-            model_name = model.split("/")[-1].replace("::", "__")
-            hf_model_name = model_name.replace("xlm-roberta-large", "XLM-Roberta-Large")
-            hf_model_name = model_name.replace("xlm-roberta-base", "XLM-Roberta-Base")
-            config_path = tmpdir / model_name / "config.json"
-
-            def export() -> None:
-                progress.update(task, description=f"[green]Exporting {hf_model_name}")
-                visual_dir = tmpdir / hf_model_name / "visual"
-                textual_dir = tmpdir / hf_model_name / "textual"
-                if model.startswith("M-CLIP"):
-                    visual_path, textual_path = mclip.to_onnx(model, visual_dir, textual_dir)
-                else:
-                    name, _, pretrained = model_name.partition("__")
-                    config = openclip.OpenCLIPModelConfig(name, pretrained)
-                    visual_path, textual_path = openclip.to_onnx(config, visual_dir, textual_dir)
-                progress.update(task, description=f"[green]Optimizing {hf_model_name} (visual)")
-                optimize(visual_path)
-                progress.update(task, description=f"[green]Optimizing {hf_model_name} (textual)")
-                optimize(textual_path)
-
-                gc.collect()
-
-            def upload() -> None:
-                progress.update(task, description=f"[yellow]Uploading {hf_model_name}")
-                repo_id = f"immich-app/{hf_model_name}"
-
-                create_repo(repo_id, exist_ok=True)
-                upload_folder(
-                    repo_id=repo_id,
-                    folder_path=tmpdir / hf_model_name,
-                    delete_patterns=delete_patterns,
-                    token=token,
-                )
-
-            export()
-            if token is not None:
-                upload()
-            progress.update(task, advance=1)

machine-learning/patches/0001-disable-rocm-conv-algo-caching.patch

@@ -0,0 +1,179 @@
+commit 16839b58d9b3c3162a67ce5d776b36d4d24e801f
+Author: mertalev <101130780+mertalev@users.noreply.github.com>
+Date:   Wed Mar 5 11:25:38 2025 -0500
+
+    disable algo caching (attributed to @dmnieto in https://github.com/microsoft/onnxruntime/pull/19567)
+
+diff --git a/onnxruntime/core/providers/rocm/nn/conv.cc b/onnxruntime/core/providers/rocm/nn/conv.cc
+index d7f47d07a8..4060a2af52 100644
+--- a/onnxruntime/core/providers/rocm/nn/conv.cc
++++ b/onnxruntime/core/providers/rocm/nn/conv.cc
+@@ -127,7 +127,6 @@ Status Conv<T, NHWC>::UpdateState(OpKernelContext* context, bool bias_expected)
+
+     if (w_dims_changed) {
+       s_.last_w_dims = gsl::make_span(w_dims);
+-      s_.cached_benchmark_fwd_results.clear();
+     }
+
+     ORT_RETURN_IF_ERROR(conv_attrs_.ValidateInputShape(X->Shape(), W->Shape(), channels_last, channels_last));
+@@ -277,35 +276,6 @@ Status Conv<T, NHWC>::UpdateState(OpKernelContext* context, bool bias_expected)
+       HIP_CALL_THROW(hipMalloc(&s_.b_zero, malloc_size));
+       HIP_CALL_THROW(hipMemsetAsync(s_.b_zero, 0, malloc_size, Stream(context)));
+     }
+-
+-    if (!s_.cached_benchmark_fwd_results.contains(x_dims_miopen)) {
+-      miopenConvAlgoPerf_t perf;
+-      int algo_count = 1;
+-      const ROCMExecutionProvider* rocm_ep = static_cast<const ROCMExecutionProvider*>(this->Info().GetExecutionProvider());
+-      static constexpr int num_algos = MIOPEN_CONVOLUTION_FWD_ALGO_COUNT;
+-      size_t max_ws_size = rocm_ep->GetMiopenConvUseMaxWorkspace() ? GetMaxWorkspaceSize(GetMiopenHandle(context), s_, kAllAlgos, num_algos, rocm_ep->GetDeviceId())
+-                                                                   : AlgoSearchWorkspaceSize;
+-      IAllocatorUniquePtr<void> algo_search_workspace = GetTransientScratchBuffer<void>(max_ws_size);
+-      MIOPEN_RETURN_IF_ERROR(miopenFindConvolutionForwardAlgorithm(
+-          GetMiopenHandle(context),
+-          s_.x_tensor,
+-          s_.x_data,
+-          s_.w_desc,
+-          s_.w_data,
+-          s_.conv_desc,
+-          s_.y_tensor,
+-          s_.y_data,
+-          1,            // requestedAlgoCount
+-          &algo_count,  // returnedAlgoCount
+-          &perf,
+-          algo_search_workspace.get(),
+-          max_ws_size,
+-          false));  // Do not do exhaustive algo search.
+-      s_.cached_benchmark_fwd_results.insert(x_dims_miopen, {perf.fwd_algo, perf.memory});
+-    }
+-    const auto& perf = s_.cached_benchmark_fwd_results.at(x_dims_miopen);
+-    s_.fwd_algo = perf.fwd_algo;
+-    s_.workspace_bytes = perf.memory;
+   } else {
+     // set Y
+     s_.Y = context->Output(0, TensorShape(s_.y_dims));
+@@ -319,6 +289,31 @@ Status Conv<T, NHWC>::UpdateState(OpKernelContext* context, bool bias_expected)
+       s_.y_data = reinterpret_cast<HipT*>(s_.Y->MutableData<T>());
+     }
+   }
++
++  miopenConvAlgoPerf_t perf;
++  int algo_count = 1;
++  const ROCMExecutionProvider* rocm_ep = static_cast<const ROCMExecutionProvider*>(this->Info().GetExecutionProvider());
++  static constexpr int num_algos = MIOPEN_CONVOLUTION_FWD_ALGO_COUNT;
++  size_t max_ws_size = rocm_ep->GetMiopenConvUseMaxWorkspace() ? GetMaxWorkspaceSize(GetMiopenHandle(context), s_, kAllAlgos, num_algos, rocm_ep->GetDeviceId())
++                                                                : AlgoSearchWorkspaceSize;
++  IAllocatorUniquePtr<void> algo_search_workspace = GetTransientScratchBuffer<void>(max_ws_size);
++  MIOPEN_RETURN_IF_ERROR(miopenFindConvolutionForwardAlgorithm(
++      GetMiopenHandle(context),
++      s_.x_tensor,
++      s_.x_data,
++      s_.w_desc,
++      s_.w_data,
++      s_.conv_desc,
++      s_.y_tensor,
++      s_.y_data,
++      1,            // requestedAlgoCount
++      &algo_count,  // returnedAlgoCount
++      &perf,
++      algo_search_workspace.get(),
++      max_ws_size,
++      false));  // Do not do exhaustive algo search.
++  s_.fwd_algo = perf.fwd_algo;
++  s_.workspace_bytes = perf.memory;
+   return Status::OK();
+ }
+
+diff --git a/onnxruntime/core/providers/rocm/nn/conv.h b/onnxruntime/core/providers/rocm/nn/conv.h
+index bc9846203e..d54218f258 100644
+--- a/onnxruntime/core/providers/rocm/nn/conv.h
++++ b/onnxruntime/core/providers/rocm/nn/conv.h
+@@ -108,9 +108,6 @@ class lru_unordered_map {
+   list_type lru_list_;
+ };
+
+-// cached miopen descriptors
+-constexpr size_t MAX_CACHED_ALGO_PERF_RESULTS = 10000;
+-
+ template <typename AlgoPerfType>
+ struct MiopenConvState {
+   // if x/w dims changed, update algo and miopenTensors
+@@ -148,9 +145,6 @@ struct MiopenConvState {
+     decltype(AlgoPerfType().memory) memory;
+   };
+
+-  lru_unordered_map<TensorShapeVector, PerfFwdResultParams, vector_hash> cached_benchmark_fwd_results{MAX_CACHED_ALGO_PERF_RESULTS};
+-  lru_unordered_map<TensorShapeVector, PerfBwdResultParams, vector_hash> cached_benchmark_bwd_results{MAX_CACHED_ALGO_PERF_RESULTS};
+-
+   // Some properties needed to support asymmetric padded Conv nodes
+   bool post_slicing_required;
+   TensorShapeVector slice_starts;
+diff --git a/onnxruntime/core/providers/rocm/nn/conv_transpose.cc b/onnxruntime/core/providers/rocm/nn/conv_transpose.cc
+index 7447113fdf..a662e35b2e 100644
+--- a/onnxruntime/core/providers/rocm/nn/conv_transpose.cc
++++ b/onnxruntime/core/providers/rocm/nn/conv_transpose.cc
+@@ -76,7 +76,6 @@ Status ConvTranspose<T, NHWC>::DoConvTranspose(OpKernelContext* context, bool dy
+
+       if (w_dims_changed) {
+         s_.last_w_dims = gsl::make_span(w_dims);
+-        s_.cached_benchmark_bwd_results.clear();
+       }
+
+       ConvTransposeAttributes::Prepare p;
+@@ -126,35 +125,29 @@ Status ConvTranspose<T, NHWC>::DoConvTranspose(OpKernelContext* context, bool dy
+       }
+
+       y_data = reinterpret_cast<HipT*>(p.Y->MutableData<T>());
+-
+-      if (!s_.cached_benchmark_bwd_results.contains(x_dims)) {
+-        IAllocatorUniquePtr<void> algo_search_workspace = GetScratchBuffer<void>(AlgoSearchWorkspaceSize, context->GetComputeStream());
+-
+-        miopenConvAlgoPerf_t perf;
+-        int algo_count = 1;
+-        MIOPEN_RETURN_IF_ERROR(miopenFindConvolutionBackwardDataAlgorithm(
+-            GetMiopenHandle(context),
+-            s_.x_tensor,
+-            x_data,
+-            s_.w_desc,
+-            w_data,
+-            s_.conv_desc,
+-            s_.y_tensor,
+-            y_data,
+-            1,
+-            &algo_count,
+-            &perf,
+-            algo_search_workspace.get(),
+-            AlgoSearchWorkspaceSize,
+-            false));
+-        s_.cached_benchmark_bwd_results.insert(x_dims, {perf.bwd_data_algo, perf.memory});
+-      }
+-
+-      const auto& perf = s_.cached_benchmark_bwd_results.at(x_dims);
+-      s_.bwd_data_algo = perf.bwd_data_algo;
+-      s_.workspace_bytes = perf.memory;
+     }
+
++    IAllocatorUniquePtr<void> algo_search_workspace = GetScratchBuffer<void>(AlgoSearchWorkspaceSize, context->GetComputeStream());
++    miopenConvAlgoPerf_t perf;
++    int algo_count = 1;
++    MIOPEN_RETURN_IF_ERROR(miopenFindConvolutionBackwardDataAlgorithm(
++        GetMiopenHandle(context),
++        s_.x_tensor,
++        x_data,
++        s_.w_desc,
++        w_data,
++        s_.conv_desc,
++        s_.y_tensor,
++        y_data,
++        1,
++        &algo_count,
++        &perf,
++        algo_search_workspace.get(),
++        AlgoSearchWorkspaceSize,
++        false));
++    s_.bwd_data_algo = perf.bwd_data_algo;
++    s_.workspace_bytes = perf.memory;
++
+     // The following block will be executed in case there has been no change in the shapes of the
+     // input and the filter compared to the previous run
+     if (!y_data) {

machine-learning/patches/0002-target-gfx900-gfx1102.patch

@@ -0,0 +1,13 @@
+diff --git a/cmake/CMakeLists.txt b/cmake/CMakeLists.txt
+index d90a2a355..bb1a7de12 100644
+--- a/cmake/CMakeLists.txt
++++ b/cmake/CMakeLists.txt
+@@ -295,7 +295,7 @@ if (onnxruntime_USE_ROCM)
+   endif()
+
+   if (NOT CMAKE_HIP_ARCHITECTURES)
+-    set(CMAKE_HIP_ARCHITECTURES "gfx908;gfx90a;gfx1030;gfx1100;gfx1101;gfx940;gfx941;gfx942;gfx1200;gfx1201")
++    set(CMAKE_HIP_ARCHITECTURES "gfx900;gfx908;gfx90a;gfx1030;gfx1100;gfx1101;gfx1102;gfx940;gfx941;gfx942;gfx1200;gfx1201")
+   endif()
+
+   file(GLOB rocm_cmake_components ${onnxruntime_ROCM_HOME}/lib/cmake/*)

machine-learning/pyproject.toml

@@ -51,6 +51,8 @@ cpu = ["onnxruntime>=1.15.0,<2"]
 cuda = ["onnxruntime-gpu>=1.17.0,<2"]
 openvino = ["onnxruntime-openvino>=1.17.1,<1.19.0"]
 armnn = ["onnxruntime>=1.15.0,<2"]
+rknn = ["onnxruntime>=1.15.0,<2", "rknn-toolkit-lite2>=2.3.0,<3"]
+rocm = []
 
 [tool.uv]
 compile-bytecode = true

machine-learning/start.sh

@@ -2,16 +2,19 @@
 
 echo "Initializing Immich ML $IMMICH_SOURCE_REF"
 
-lib_path="/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2"
-# mimalloc seems to increase memory usage dramatically with openvino, need to investigate
 if ! [ "$DEVICE" = "openvino" ]; then
-	export LD_PRELOAD="$lib_path"
-	export LD_BIND_NOW=1
 	: "${MACHINE_LEARNING_WORKER_TIMEOUT:=120}"
 else
 	: "${MACHINE_LEARNING_WORKER_TIMEOUT:=300}"
 fi
 
+# mimalloc seems to increase memory usage dramatically with openvino, need to investigate
+if ! [ "$DEVICE" = "openvino" ] && ! [ "$DEVICE" = "rocm" ]; then
+	lib_path="/usr/lib/$(arch)-linux-gnu/libmimalloc.so.2"
+	export LD_PRELOAD="$lib_path"
+	export LD_BIND_NOW=1
+fi
+
 : "${IMMICH_HOST:=[::]}"
 : "${IMMICH_PORT:=3003}"
 : "${MACHINE_LEARNING_WORKERS:=1}"

machine-learning/uv.lock

@@ -876,7 +876,7 @@ wheels = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.29.2"
+version = "0.29.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "filelock" },
@@ -887,9 +887,9 @@ dependencies = [
     { name = "tqdm" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/58/b2/f8b3c9842a794e8203448725aefa02d7c9e0da42d5f22f4ed806057cc36e/huggingface_hub-0.29.2.tar.gz", hash = "sha256:590b29c0dcbd0ee4b7b023714dc1ad8563fe4a68a91463438b74e980d28afaf3", size = 389816 }
+sdist = { url = "https://files.pythonhosted.org/packages/e5/f9/851f34b02970e8143d41d4001b2d49e54ef113f273902103823b8bc95ada/huggingface_hub-0.29.3.tar.gz", hash = "sha256:64519a25716e0ba382ba2d3fb3ca082e7c7eb4a2fc634d200e8380006e0760e5", size = 390123 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/13/5f/088ff08dc41808fcd99d9972b9bcfa7e3a35e30e8b0a3155b57938f1611c/huggingface_hub-0.29.2-py3-none-any.whl", hash = "sha256:c56f20fca09ef19da84dcde2b76379ecdaddf390b083f59f166715584953307d", size = 468087 },
+    { url = "https://files.pythonhosted.org/packages/40/0c/37d380846a2e5c9a3c6a73d26ffbcfdcad5fc3eacf42fdf7cff56f2af634/huggingface_hub-0.29.3-py3-none-any.whl", hash = "sha256:0b25710932ac649c08cdbefa6c6ccb8e88eef82927cacdb048efb726429453aa", size = 468997 },
 ]
 
 [[package]]
@@ -1050,7 +1050,7 @@ wheels = [
 
 [[package]]
 name = "locust"
-version = "2.33.0"
+version = "2.33.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "configargparse" },
@@ -1069,9 +1069,9 @@ dependencies = [
     { name = "typing-extensions", marker = "python_full_version < '3.11'" },
     { name = "werkzeug" },
 ]
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@@ -1109,6 +1109,10 @@ cuda = [
 openvino = [
     { name = "onnxruntime-openvino" },
 ]
+rknn = [
+    { name = "onnxruntime" },
+    { name = "rknn-toolkit-lite2" },
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 dev = [
@@ -1162,6 +1166,7 @@ requires-dist = [
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     { name = "onnxruntime", marker = "extra == 'cpu'", specifier = ">=1.15.0,<2" },
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     { name = "opencv-python-headless", specifier = ">=4.7.0.72,<5.0" },
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     { name = "python-multipart", specifier = ">=0.0.6,<1.0" },
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     { name = "uvicorn", extras = ["standard"], specifier = ">=0.22.0,<1.0" },
 ]
-provides-extras = ["cpu", "cuda", "openvino", "armnn"]
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 [[package]]
@@ -2388,14 +2465,14 @@ wheels = [
 
 [[package]]
 name = "types-setuptools"
-version = "75.8.2.20250305"
+version = "76.0.0.20250313"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "setuptools" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/4f/18/a996861f5225e7d533a8d8b6aa61bcc9183429a6b8bc93b850aa2e22974d/types_setuptools-75.8.2.20250305.tar.gz", hash = "sha256:a987269b49488f21961a1d99aa8d281b611625883def6392a93855b31544e405", size = 42609 }
+sdist = { url = "https://files.pythonhosted.org/packages/b8/0f/2d1d000c2be3919bcdea15e5da48456bf1e55c18d02c5509ea59dade1408/types_setuptools-76.0.0.20250313.tar.gz", hash = "sha256:b2be66f550f95f3cad2a7d46177b273c7e9c80df7d257fa57addbbcfc8126a9e", size = 43627 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/ca/89/ea9669a0a76b160ffb312d0b02b15bad053c1bc81d2a54e42e3a402ca754/types_setuptools-76.0.0.20250313-py3-none-any.whl", hash = "sha256:bf454b2a49b8cfd7ebcf5844d4dd5fe4c8666782df1e3663c5866fd51a47460e", size = 65845 },
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 [[package]]

mobile/.fvmrc

@@ -1,3 +1,3 @@
 {
-  "flutter": "3.29.1"
+  "flutter": "3.29.2"
 }

mobile/analysis_options.yaml

@@ -67,7 +67,7 @@ custom_lint:
         - lib/entities/*.entity.dart
         - lib/repositories/{album,asset,backup,database,etag,exif_info,user,timeline,partner}.repository.dart
         - lib/infrastructure/entities/*.entity.dart
-        - lib/infrastructure/repositories/{store,db,log,exif}.repository.dart
+        - lib/infrastructure/repositories/*.repository.dart
         - lib/providers/infrastructure/db.provider.dart
         # acceptable exceptions for the time being (until Isar is fully replaced)
         - lib/providers/app_life_cycle.provider.dart
@@ -93,6 +93,7 @@ custom_lint:
         - lib/infrastructure/utils/*.converter.dart
         # acceptable exceptions for the time being
         - lib/entities/{album,asset,exif_info,user}.entity.dart # to convert DTOs to entities
+        - lib/infrastructure/utils/*.converter.dart
         - lib/utils/{image_url_builder,openapi_patching}.dart # utils are fine
         - test/modules/utils/openapi_patching_test.dart # filename is self-explanatory...
         - lib/domain/services/sync_stream.service.dart # Making sure to comply with the type from database

mobile/android/app/src/debug/AndroidManifest.xml

@@ -1,6 +1,10 @@
-<manifest xmlns:android="http://schemas.android.com/apk/res/android">
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+          xmlns:tools="http://schemas.android.com/tools">
   <!-- Flutter needs it to communicate with the running application
          to allow setting breakpoints, to provide hot reload, etc.
     -->
   <uses-permission android:name="android.permission.INTERNET" />
-</manifest>
+
+  <application android:label="Immich-Debug" tools:replace="android:label">
+  </application>
+</manifest>

mobile/android/fastlane/Fastfile

@@ -35,8 +35,8 @@ platform :android do
       task: 'bundle', 
       build_type: 'Release',
       properties: {
-        "android.injected.version.code" => 187,
-        "android.injected.version.name" => "1.129.0",
+        "android.injected.version.code" => 188,
+        "android.injected.version.name" => "1.130.0",
       }
     )
     upload_to_play_store(skip_upload_apk: true, skip_upload_images: true, skip_upload_screenshots: true, aab: '../build/app/outputs/bundle/release/app-release.aab')

mobile/assets/i18n/ar-JO.json

@@ -197,6 +197,7 @@
   "control_bottom_app_bar_edit_time": "تحرير التاريخ والوقت",
   "control_bottom_app_bar_favorite": "مفضل",
   "control_bottom_app_bar_share": "يشارك",
+  "control_bottom_app_bar_share_link": "Share Link",
   "control_bottom_app_bar_share_to": "مشاركة إلى",
   "control_bottom_app_bar_stack": "تجميع",
   "control_bottom_app_bar_trash_from_immich": "حذفه ونقله في سله المهملات",
@@ -252,6 +253,7 @@
   "edit_date_time_dialog_timezone": "وحدة زمنية",
   "edit_image_title": "Edit",
   "edit_location_dialog_title": "موقع",
+  "empty_folder": "This folder is empty",
   "end_date": "End date",
   "enqueued": "Enqueued",
   "enter_wifi_name": "Enter WiFi name",
@@ -263,6 +265,10 @@
   "exif_bottom_sheet_location_add": "إضافة موقع",
   "exif_bottom_sheet_people": "الناس",
   "exif_bottom_sheet_person_add_person": "اضف اسما",
+  "exif_bottom_sheet_person_age": "Age {}",
+  "exif_bottom_sheet_person_age_months": "Age {} months",
+  "exif_bottom_sheet_person_age_year_months": "Age 1 year, {} months",
+  "exif_bottom_sheet_person_age_years": "Age {}",
   "experimental_settings_new_asset_list_subtitle": "أعمال جارية",
   "experimental_settings_new_asset_list_title": "تمكين شبكة الصور التجريبية",
   "experimental_settings_subtitle": "استخدام على مسؤوليتك الخاصة!",
@@ -270,11 +276,16 @@
   "external_network": "External network",
   "external_network_sheet_info": "When not on the preferred WiFi network, the app will connect to the server through the first of the below URLs it can reach, starting from top to bottom",
   "failed": "Failed",
+  "failed_to_load_assets": "Failed to load assets",
+  "failed_to_load_folder": "Failed to load folder",
   "favorites": "Favorites",
   "favorites_page_no_favorites": "لم يتم العثور على الأصول المفضلة",
   "favorites_page_title": "المفضلة",
   "filename_search": "File name or extension",
   "filter": "Filter",
+  "folder": "Folder",
+  "folder_not_found": "Folder not found",
+  "folders": "Folders",
   "get_wifiname_error": "Could not get Wi-Fi name. Make sure you have granted the necessary permissions and are connected to a Wi-Fi network",
   "grant_permission": "Grant permission",
   "haptic_feedback_switch": "تمكين ردود الفعل اللمسية",

mobile/assets/i18n/ca.json

@@ -8,26 +8,26 @@
   "action_common_update": "Actualitzar",
   "add_a_name": "Afegeix un nom",
   "add_endpoint": "afegir endpoint",
-  "add_to_album_bottom_sheet_added": "Added to {album}",
-  "add_to_album_bottom_sheet_already_exists": "Already in {album}",
-  "advanced_settings_log_level_title": "Log level: {}",
-  "advanced_settings_prefer_remote_subtitle": "Some devices are painfully slow to load thumbnails from assets on the device. Activate this setting to load remote images instead.",
+  "add_to_album_bottom_sheet_added": "Afegit a {album}",
+  "add_to_album_bottom_sheet_already_exists": "Ja està a {album}",
+  "advanced_settings_log_level_title": "Nivell de registre: {}",
+  "advanced_settings_prefer_remote_subtitle": "Alguns dispositius són molt lents en carregar miniatures dels elements del dispositiu. Activeu aquest paràmetre per carregar imatges remotes en el seu lloc.",
   "advanced_settings_prefer_remote_title": "Prefereix imatges remotes",
   "advanced_settings_proxy_headers_subtitle": "Definiu les capçaleres de proxy que Immich per enviar amb cada sol·licitud de xarxa",
   "advanced_settings_proxy_headers_title": "Capçaleres de proxy",
-  "advanced_settings_self_signed_ssl_subtitle": "Skips SSL certificate verification for the server endpoint. Required for self-signed certificates.",
-  "advanced_settings_self_signed_ssl_title": "Allow self-signed SSL certificates",
-  "advanced_settings_tile_subtitle": "Advanced user's settings",
+  "advanced_settings_self_signed_ssl_subtitle": "Omet la verificació del certificat SSL del servidor. Requerit per a certificats autosignats.",
+  "advanced_settings_self_signed_ssl_title": "Permet certificats SSL autosignats",
+  "advanced_settings_tile_subtitle": "Configuració avançada de l'usuari",
   "advanced_settings_tile_title": "Avançat",
-  "advanced_settings_troubleshooting_subtitle": "Enable additional features for troubleshooting",
+  "advanced_settings_troubleshooting_subtitle": "Habilita funcions addicionals per a la resolució de problemes",
   "advanced_settings_troubleshooting_title": "Resolució de problemes",
   "album_info_card_backup_album_excluded": "Exclosos",
   "album_info_card_backup_album_included": "Inclosos",
   "albums": "Àlbums",
-  "album_thumbnail_card_item": "1 item",
-  "album_thumbnail_card_items": "{} items",
-  "album_thumbnail_card_shared": " · Shared",
-  "album_thumbnail_owned": "Owned",
+  "album_thumbnail_card_item": "1 element",
+  "album_thumbnail_card_items": "{} elements",
+  "album_thumbnail_card_shared": " · Compartit",
+  "album_thumbnail_owned": "Propi",
   "album_thumbnail_shared_by": "Compartit per {}",
   "album_viewer_appbar_delete_confirm": "Confirmes que vols suprimir aquest àlbum del teu compte?",
   "album_viewer_appbar_share_delete": "Esborra l'àlbum",
@@ -37,28 +37,28 @@
   "album_viewer_appbar_share_err_title": "Error al modificar el títol de l'àlbum",
   "album_viewer_appbar_share_leave": "Surt de l'àlbum",
   "album_viewer_appbar_share_remove": "Treu de l'àlbum",
-  "album_viewer_appbar_share_to": "Share To",
+  "album_viewer_appbar_share_to": "Comparteix amb",
   "album_viewer_page_share_add_users": "Afegeix usuaris",
   "all": "Tot",
   "all_people_page_title": "Persones",
   "all_videos_page_title": "Vídeos",
-  "app_bar_signout_dialog_content": "Are you sure you want to sign out?",
-  "app_bar_signout_dialog_ok": "Yes",
-  "app_bar_signout_dialog_title": "Sign out",
+  "app_bar_signout_dialog_content": "Estàs segur que vols tancar la sessió?",
+  "app_bar_signout_dialog_ok": "Sí",
+  "app_bar_signout_dialog_title": "Tanca la sessió",
   "archived": "Arxivat",
   "archive_page_no_archived_assets": "No s'ha trobat res arxivat",
   "archive_page_title": "Arxiu({})",
   "asset_action_delete_err_read_only": "No es poden esborrar el fitxer(s) de només lectura, ometent",
   "asset_action_share_err_offline": "No s'ha pogut obtenir el fitxer(s) sense connexió, ometent",
   "asset_list_group_by_sub_title": "Agrupar per",
-  "asset_list_layout_settings_dynamic_layout_title": "Dynamic layout",
+  "asset_list_layout_settings_dynamic_layout_title": "Disseny dinàmic",
   "asset_list_layout_settings_group_automatically": "Automàtic",
-  "asset_list_layout_settings_group_by": "Group assets by",
-  "asset_list_layout_settings_group_by_month": "Month",
-  "asset_list_layout_settings_group_by_month_day": "Month + day",
+  "asset_list_layout_settings_group_by": "Agrupa elements per",
+  "asset_list_layout_settings_group_by_month": "Mes",
+  "asset_list_layout_settings_group_by_month_day": "Mes + dia",
   "asset_list_layout_sub_title": "Disseny",
-  "asset_list_settings_subtitle": "Photo grid layout settings",
-  "asset_list_settings_title": "Photo Grid",
+  "asset_list_settings_subtitle": "Configuració del disseny de la graella de fotos",
+  "asset_list_settings_title": "Graella de fotos",
   "asset_restored_successfully": "Element recuperat correctament",
   "assets_deleted_permanently": "{} element(s) esborrats permanentment",
   "assets_deleted_permanently_from_server": "{} element(s) esborrats permanentment del servidor d'Immich",
@@ -73,97 +73,97 @@
   "background_location_permission": "Permís d'ubicació en segon pla",
   "background_location_permission_content": "Per canviar de xarxa quan s'executa en segon pla, Immich ha de *sempre* tenir accés a la ubicació precisa perquè l'aplicació pugui llegir el nom de la xarxa Wi-Fi",
   "backup_album_selection_page_albums_device": "Àlbums al dispositiu ({})",
-  "backup_album_selection_page_albums_tap": "Tap to include, double tap to exclude",
-  "backup_album_selection_page_assets_scatter": "Assets can scatter across multiple albums. Thus, albums can be included or excluded during the backup process.",
+  "backup_album_selection_page_albums_tap": "Un toc per incloure, doble toc per excloure",
+  "backup_album_selection_page_assets_scatter": "Els elements poden dispersar-se en diversos àlbums. Per tant, els àlbums es poden incloure o excloure durant el procés de còpia de seguretat.",
   "backup_album_selection_page_select_albums": "Selecciona àlbums",
   "backup_album_selection_page_selection_info": "Informació de la selecció",
   "backup_album_selection_page_total_assets": "Total d'elements únics",
-  "backup_all": "All",
-  "backup_background_service_backup_failed_message": "Failed to backup assets. Retrying…",
-  "backup_background_service_connection_failed_message": "Failed to connect to the server. Retrying…",
+  "backup_all": "Tots",
+  "backup_background_service_backup_failed_message": "No s'ha pogut copiar els elements. Tornant a intentar…",
+  "backup_background_service_connection_failed_message": "No s'ha pogut connectar al servidor. Tornant a intentar…",
   "backup_background_service_current_upload_notification": "Pujant {}",
   "backup_background_service_default_notification": "Cercant nous elements...",
   "backup_background_service_error_title": "Error copiant",
   "backup_background_service_in_progress_notification": "Copiant els teus elements",
   "backup_background_service_upload_failure_notification": "Error al pujar {}",
   "backup_controller_page_albums": "Copia els àlbums",
-  "backup_controller_page_background_app_refresh_disabled_content": "Enable background app refresh in Settings > General > Background App Refresh in order to use background backup.",
-  "backup_controller_page_background_app_refresh_disabled_title": "Background app refresh disabled",
+  "backup_controller_page_background_app_refresh_disabled_content": "Activa l'actualització en segon pla de l'aplicació a Configuració > General > Actualització en segon pla per utilitzar la copia de seguretat en segon pla.",
+  "backup_controller_page_background_app_refresh_disabled_title": "Actualització en segon pla desactivada",
   "backup_controller_page_background_app_refresh_enable_button_text": "Vés a configuració",
   "backup_controller_page_background_battery_info_link": "Mostra'm com",
-  "backup_controller_page_background_battery_info_message": "For the best background backup experience, please disable any battery optimizations restricting background activity for Immich.\n\nSince this is device-specific, please lookup the required information for your device manufacturer.",
+  "backup_controller_page_background_battery_info_message": "Per obtenir la millor experiència de copia de seguretat en segon pla, desactiveu qualsevol optimització de bateria que restringeixi l'activitat en segon pla per a Immich.\n\nAtès que això és específic del dispositiu, busqueu la informació necessària per al fabricant del vostre dispositiu",
   "backup_controller_page_background_battery_info_ok": "D'acord",
   "backup_controller_page_background_battery_info_title": "Optimitzacions de bateria",
   "backup_controller_page_background_charging": "Només mentre es carrega",
-  "backup_controller_page_background_configure_error": "Failed to configure the background service",
-  "backup_controller_page_background_delay": "Delay new assets backup: {}",
-  "backup_controller_page_background_description": "Turn on the background service to automatically backup any new assets without needing to open the app",
-  "backup_controller_page_background_is_off": "Automatic background backup is off",
-  "backup_controller_page_background_is_on": "Automatic background backup is on",
-  "backup_controller_page_background_turn_off": "Turn off background service",
-  "backup_controller_page_background_turn_on": "Turn on background service",
-  "backup_controller_page_background_wifi": "Only on WiFi",
+  "backup_controller_page_background_configure_error": "No s'ha pogut configurar el servei en segon pla",
+  "backup_controller_page_background_delay": "Retard en la copia de seguretat de nous elements: {}",
+  "backup_controller_page_background_description": "Activeu el servei en segon pla per copiar automàticament tots els nous elements sense haver d'obrir l'aplicació.",
+  "backup_controller_page_background_is_off": "La còpia automàtica en segon pla està desactivada",
+  "backup_controller_page_background_is_on": "La còpia automàtica en segon pla està activada",
+  "backup_controller_page_background_turn_off": "Desactiva el servei en segon pla",
+  "backup_controller_page_background_turn_on": "Activa el servei en segon pla",
+  "backup_controller_page_background_wifi": "Només amb WiFi",
   "backup_controller_page_backup": "Còpia",
-  "backup_controller_page_backup_selected": "Selected: ",
+  "backup_controller_page_backup_selected": "Seleccionat: ",
   "backup_controller_page_backup_sub": "Fotografies i vídeos copiats",
   "backup_controller_page_cancel": "Cancel·la",
-  "backup_controller_page_created": "Created on: {}",
-  "backup_controller_page_desc_backup": "Turn on foreground backup to automatically upload new assets to the server when opening the app.",
+  "backup_controller_page_created": "Creat el: {}",
+  "backup_controller_page_desc_backup": "Activeu la còpia de seguretat per pujar automàticament els nous elements al servidor en obrir l'aplicació.",
   "backup_controller_page_excluded": "Exclosos:",
-  "backup_controller_page_failed": "Failed ({})",
-  "backup_controller_page_filename": "File name: {} [{}]",
+  "backup_controller_page_failed": "Fallats ({})",
+  "backup_controller_page_filename": "Nom de l'arxiu: {} [{}]",
   "backup_controller_page_id": "ID: {}",
   "backup_controller_page_info": "Informació de la còpia",
-  "backup_controller_page_none_selected": "None selected",
+  "backup_controller_page_none_selected": "Cap seleccionat",
   "backup_controller_page_remainder": "Restant",
   "backup_controller_page_remainder_sub": "Fotografies i vídeos restants per copiar de la selecció",
   "backup_controller_page_select": "Selecciona",
-  "backup_controller_page_server_storage": "Server Storage",
+  "backup_controller_page_server_storage": "Emmagatzematge del servidor",
   "backup_controller_page_start_backup": "Inicia la còpia",
-  "backup_controller_page_status_off": "Automatic foreground backup is off",
-  "backup_controller_page_status_on": "Automatic foreground backup is on",
-  "backup_controller_page_storage_format": "{} of {} used",
+  "backup_controller_page_status_off": "La copia de seguretat està desactivada",
+  "backup_controller_page_status_on": "La copia de seguretat està activada",
+  "backup_controller_page_storage_format": "{} de {} utilitzats",
   "backup_controller_page_to_backup": "Àlbums a copiar",
   "backup_controller_page_total": "Total",
   "backup_controller_page_total_sub": "Totes les fotografies i vídeos dels àlbums seleccionats",
-  "backup_controller_page_turn_off": "Turn off foreground backup",
-  "backup_controller_page_turn_on": "Turn on foreground backup",
-  "backup_controller_page_uploading_file_info": "Uploading file info",
-  "backup_err_only_album": "Cannot remove the only album",
+  "backup_controller_page_turn_off": "Desactiva la còpia de seguretat",
+  "backup_controller_page_turn_on": "Activa la còpia de seguretat",
+  "backup_controller_page_uploading_file_info": "S'està pujant la informació del fitxer",
+  "backup_err_only_album": "No es pot eliminar l'únic àlbum",
   "backup_info_card_assets": "elements",
-  "backup_manual_cancelled": "Cancelled",
-  "backup_manual_failed": "Failed",
-  "backup_manual_in_progress": "Upload already in progress. Try after sometime",
-  "backup_manual_success": "Success",
-  "backup_manual_title": "Upload status",
+  "backup_manual_cancelled": "Cancel·lat",
+  "backup_manual_failed": "Fallat",
+  "backup_manual_in_progress": "La pujada ja està en curs. Torneu-ho a provar més tard",
+  "backup_manual_success": "Èxit",
+  "backup_manual_title": "Estat de pujada",
   "backup_options_page_title": "Opcions de còpia de seguretat",
   "backup_setting_subtitle": "Gestiona la configuració de càrrega en segon pla i en primer pla",
-  "cache_settings_album_thumbnails": "Library page thumbnails ({} assets)",
-  "cache_settings_clear_cache_button": "Clear cache",
-  "cache_settings_clear_cache_button_title": "Clears the app's cache. This will significantly impact the app's performance until the cache has rebuilt.",
-  "cache_settings_duplicated_assets_clear_button": "CLEAR",
-  "cache_settings_duplicated_assets_subtitle": "Photos and videos that are black listed by the app",
-  "cache_settings_duplicated_assets_title": "Duplicated Assets ({})",
-  "cache_settings_image_cache_size": "Image cache size ({} assets)",
-  "cache_settings_statistics_album": "Library thumbnails",
+  "cache_settings_album_thumbnails": "Miniatures de la pàgina de la biblioteca ({} elements)",
+  "cache_settings_clear_cache_button": "Neteja la memòria cau",
+  "cache_settings_clear_cache_button_title": "Neteja la memòria cau de l'aplicació. Això impactarà significativament el rendiment fins que la memòria cau es torni a reconstruir.",
+  "cache_settings_duplicated_assets_clear_button": "NETEJA",
+  "cache_settings_duplicated_assets_subtitle": "Fotos i vídeos que estan a la llista negra de l'aplicació.",
+  "cache_settings_duplicated_assets_title": "Elements duplicats ({})",
+  "cache_settings_image_cache_size": "Mida de la memòria cau de imatges ({} elements)",
+  "cache_settings_statistics_album": "Miniatures de la biblioteca",
   "cache_settings_statistics_assets": "{} elements ({})",
   "cache_settings_statistics_full": "Imatges completes",
-  "cache_settings_statistics_shared": "Shared album thumbnails",
+  "cache_settings_statistics_shared": "Miniatures d'àlbums compartits",
   "cache_settings_statistics_thumbnail": "Miniatures",
   "cache_settings_statistics_title": "Ús de memòria cau",
-  "cache_settings_subtitle": "Control the caching behaviour of the Immich mobile application",
-  "cache_settings_thumbnail_size": "Thumbnail cache size ({} assets)",
-  "cache_settings_tile_subtitle": "Control the local storage behaviour",
-  "cache_settings_tile_title": "Local Storage",
+  "cache_settings_subtitle": "Controla el comportament de la memòria cau de l'aplicació mòbil Immich",
+  "cache_settings_thumbnail_size": "Mida de la memòria cau de les miniatures ({} elements)",
+  "cache_settings_tile_subtitle": "Controla el comportament de l'emmagatzematge local",
+  "cache_settings_tile_title": "Emmagatzematge local",
   "cache_settings_title": "Configuració de la memòria cau",
   "cancel": "Cancel·la",
   "canceled": "Cancel·lat",
   "change_display_order": "Canvia l'ordre de visualització",
   "change_password_form_confirm_password": "Confirma la contrasenya",
-  "change_password_form_description": "Hi {name},\n\nThis is either the first time you are signing into the system or a request has been made to change your password. Please enter the new password below.",
-  "change_password_form_new_password": "New Password",
-  "change_password_form_password_mismatch": "Passwords do not match",
-  "change_password_form_reenter_new_password": "Re-enter New Password",
+  "change_password_form_description": "Hola {name},\n\nAquesta és la primera vegada que inicies sessió al sistema o bé s'ha sol·licitat canviar la teva contrasenya. Si us plau, introdueix la nova contrasenya a continuació.",
+  "change_password_form_new_password": "Nova contrasenya",
+  "change_password_form_password_mismatch": "Les contrasenyes no coincideixen",
+  "change_password_form_reenter_new_password": "Torna a introduir la nova contrasenya",
   "check_corrupt_asset_backup": "Comprovar les còpies de seguretat corruptes",
   "check_corrupt_asset_backup_button": "Realitzar comprovació",
   "check_corrupt_asset_backup_description": "Executeu aquesta comprovació només mitjançant Wi-Fi i un cop s'hagi fet una còpia de seguretat de tots els actius. El procediment pot trigar uns minuts.",
@@ -176,14 +176,14 @@
   "client_cert_remove_msg": "S'ha eliminat el certificat del client",
   "client_cert_subtitle": "Només admet el format PKCS12 (.p12, .pfx). La importació/eliminació de certificats només està disponible abans d'iniciar sessió",
   "client_cert_title": "Certificat de client SSL",
-  "common_add_to_album": "Add to album",
-  "common_change_password": "Change Password",
+  "common_add_to_album": "Afegir a l'àlbum",
+  "common_change_password": "Canvia la contrasenya",
   "common_create_new_album": "Crea un àlbum nou",
-  "common_server_error": "Please check your network connection, make sure the server is reachable and app/server versions are compatible.",
+  "common_server_error": "Si us plau, comproveu la vostra connexió de xarxa, assegureu-vos que el servidor és accessible i que les versions de l'aplicació i del servidor són compatibles.",
   "common_shared": "Compartit",
   "completed": "Completat",
   "contextual_search": "Sortida del sol a la platja",
-  "control_bottom_app_bar_add_to_album": "Add to album",
+  "control_bottom_app_bar_add_to_album": "Afegir a l'àlbum",
   "control_bottom_app_bar_album_info": "{} elements",
   "control_bottom_app_bar_album_info_shared": "{} elements - Compartits",
   "control_bottom_app_bar_archive": "Arxiu",
@@ -193,31 +193,32 @@
   "control_bottom_app_bar_delete_from_local": "Suprimeix del dispositiu",
   "control_bottom_app_bar_download": "Descarrega",
   "control_bottom_app_bar_edit": "Edita",
-  "control_bottom_app_bar_edit_location": "Edit Location",
-  "control_bottom_app_bar_edit_time": "Edit Date & Time",
+  "control_bottom_app_bar_edit_location": "Edita la ubicació",
+  "control_bottom_app_bar_edit_time": "Edita data i hora",
   "control_bottom_app_bar_favorite": "Preferit",
-  "control_bottom_app_bar_share": "Share",
-  "control_bottom_app_bar_share_to": "Share To",
-  "control_bottom_app_bar_stack": "Stack",
+  "control_bottom_app_bar_share": "Comparteix",
+  "control_bottom_app_bar_share_link": "Comparteix l'enllaç",
+  "control_bottom_app_bar_share_to": "Comparteix a",
+  "control_bottom_app_bar_stack": "Apilar",
   "control_bottom_app_bar_trash_from_immich": "Mou a paperera",
   "control_bottom_app_bar_unarchive": "Desarxiva",
-  "control_bottom_app_bar_unfavorite": "Unfavorite",
-  "control_bottom_app_bar_upload": "Upload",
+  "control_bottom_app_bar_unfavorite": "No preferit",
+  "control_bottom_app_bar_upload": "Puja",
   "create_album": "Crear àlbum",
-  "create_album_page_untitled": "Untitled",
+  "create_album_page_untitled": "Sense títol",
   "create_new": "CREAR NOU",
-  "create_shared_album_page_create": "Create",
+  "create_shared_album_page_create": "Crea",
   "create_shared_album_page_share": "Comparteix",
   "create_shared_album_page_share_add_assets": "AFEGEIX ELEMENTS",
   "create_shared_album_page_share_select_photos": "Escull fotografies",
   "crop": "Retalla",
   "curated_location_page_title": "Localitzacions",
   "curated_object_page_title": "Coses",
-  "current_server_address": "Current server address",
-  "daily_title_text_date": "E, MMM dd",
-  "daily_title_text_date_year": "E, MMM dd, yyyy",
-  "date_format": "E, LLL d, y • h:mm a",
-  "delete_dialog_alert": "These items will be permanently deleted from Immich and from your device",
+  "current_server_address": "Adreça actual del servidor",
+  "daily_title_text_date": "E, dd MMM",
+  "daily_title_text_date_year": "E, dd MMM, yyyy",
+  "date_format": "E, d LLL, y • hh:mm",
+  "delete_dialog_alert": "Aquests elements seran eliminats de manera permanent d'Immich i del vostre dispositiu.",
   "delete_dialog_alert_local": "Aquests elements s'eliminaran permanentment del vostre dispositiu, però encara estaran disponibles al servidor Immich",
   "delete_dialog_alert_local_non_backed_up": "Alguns dels elements no tenen còpia de seguretat a Immich i s'eliminaran permanentment del dispositiu",
   "delete_dialog_alert_remote": "Aquests elements s'eliminaran permanentment del servidor Immich",
@@ -227,11 +228,11 @@
   "delete_dialog_title": "Esborra permanentment",
   "delete_local_dialog_ok_backed_up_only": "Esborrar només les que tinguin còpia de seguretat",
   "delete_local_dialog_ok_force": "Suprimeix de totes maneres",
-  "delete_shared_link_dialog_content": "Are you sure you want to delete this shared link?",
-  "delete_shared_link_dialog_title": "Delete Shared Link",
+  "delete_shared_link_dialog_content": "Esteu segurs que voleu eliminar aquest enllaç compartit?",
+  "delete_shared_link_dialog_title": "Suprimeix l'enllaç compartit",
   "description_input_hint_text": "Afegeix descripció...",
-  "description_input_submit_error": "Error updating description, check the log for more details",
-  "description_search": "Jornada de senderisme a Sapa",
+  "description_input_submit_error": "S'ha produït un error en actualitzar la descripció, comproveu el registre per a més detalls",
+  "description_search": "Jornada de senderisme al Pedraforca",
   "download_canceled": "Descàrrega cancel·lada",
   "download_complete": "Descàrrega completada",
   "download_enqueue": "Descàrrega en cua",
@@ -252,6 +253,7 @@
   "edit_date_time_dialog_timezone": "Zona horària",
   "edit_image_title": "Editar",
   "edit_location_dialog_title": "Ubicació",
+  "empty_folder": "Aquesta carpeta és buida",
   "end_date": "Data final",
   "enqueued": "En cua",
   "enter_wifi_name": "Introdueix el nom de WiFi",
@@ -260,23 +262,32 @@
   "exif_bottom_sheet_description": "Afegeix descripció",
   "exif_bottom_sheet_details": "DETALLS",
   "exif_bottom_sheet_location": "UBICACIÓ",
-  "exif_bottom_sheet_location_add": "Add a location",
+  "exif_bottom_sheet_location_add": "Afegeix una ubicació",
   "exif_bottom_sheet_people": "PERSONES",
   "exif_bottom_sheet_person_add_person": "Afegir nom",
-  "experimental_settings_new_asset_list_subtitle": "Work in progress",
-  "experimental_settings_new_asset_list_title": "Enable experimental photo grid",
-  "experimental_settings_subtitle": "Use at your own risk!",
+  "exif_bottom_sheet_person_age": "Edat {}",
+  "exif_bottom_sheet_person_age_months": "Edat {} mesos",
+  "exif_bottom_sheet_person_age_year_months": "Edat 1 any, {} mesos",
+  "exif_bottom_sheet_person_age_years": "Edat {}",
+  "experimental_settings_new_asset_list_subtitle": "Treball en curs",
+  "experimental_settings_new_asset_list_title": "Habilita la graella de fotos experimental",
+  "experimental_settings_subtitle": "Utilitzeu-ho sota la vostra responsabilitat!",
   "experimental_settings_title": "Experimental",
   "external_network": "Xarxa externa",
   "external_network_sheet_info": "Quan no estigui a la xarxa WiFi preferida, l'aplicació es connectarà al servidor mitjançant el primer dels URL següents a què pot arribar, començant de dalt a baix.",
   "failed": "Fallat",
-  "favorites": "Favorits",
+  "failed_to_load_assets": "No s'han pogut carregar els elements",
+  "failed_to_load_folder": "No s'ha pogut carregar la carpeta",
+  "favorites": "Preferits",
   "favorites_page_no_favorites": "No s'han trobat preferits",
-  "favorites_page_title": "Favorites",
+  "favorites_page_title": "Preferits",
   "filename_search": "Nom o extensió del fitxer",
   "filter": "Filtrar",
+  "folder": "Carpeta",
+  "folder_not_found": "Carpeta no trobada",
+  "folders": "Carpetes",
   "get_wifiname_error": "No s'ha pogut obtenir el nom de la Wi-Fi. Assegureu-vos que heu concedit els permisos necessaris i que esteu connectat a una xarxa Wi-Fi",
-  "grant_permission": "Grant permission",
+  "grant_permission": "Concedir permís",
   "haptic_feedback_switch": "Activa la resposta hàptica",
   "haptic_feedback_title": "Resposta Hàptica",
   "header_settings_add_header_tip": "Afegeix Capçalera",
@@ -285,43 +296,43 @@
   "header_settings_header_value_input": "Valor de la capçalera",
   "header_settings_page_title": "Capçaleres de proxy",
   "headers_settings_tile_subtitle": "Definiu les capçaleres de proxy que l'aplicació hauria d'enviar amb cada sol·licitud de xarxa",
-  "headers_settings_tile_title": "Custom proxy headers",
-  "home_page_add_to_album_conflicts": "Added {added} assets to album {album}. {failed} assets are already in the album.",
-  "home_page_add_to_album_err_local": "Can not add local assets to albums yet, skipping",
-  "home_page_add_to_album_success": "Added {added} assets to album {album}.",
-  "home_page_album_err_partner": "Can not add partner assets to an album yet, skipping",
-  "home_page_archive_err_local": "Can not archive local assets yet, skipping",
-  "home_page_archive_err_partner": "Can not archive partner assets, skipping",
-  "home_page_building_timeline": "Building the timeline",
-  "home_page_delete_err_partner": "Can not delete partner assets, skipping",
+  "headers_settings_tile_title": "Capçaleres proxy personalitzades",
+  "home_page_add_to_album_conflicts": "S'han afegit {added} elements a l'àlbum {album}. {failed} elements ja existeixen a l'àlbum.",
+  "home_page_add_to_album_err_local": "Encara no es poden afegir elements locals als àlbums, ometent",
+  "home_page_add_to_album_success": "S'han afegit {added} elements a l'àlbum {album}.",
+  "home_page_album_err_partner": "Encara no es poden afegir elements dels companys als àlbums, ometent",
+  "home_page_archive_err_local": "Encara no es poden arxivar elements locals, ometent",
+  "home_page_archive_err_partner": "No es poden arxivar els elements de companys, ometent",
+  "home_page_building_timeline": "Construint la línia de temps",
+  "home_page_delete_err_partner": "No es poden suprimir els elements de companys, ometent",
   "home_page_delete_remote_err_local": "Elements locals a la selecció d'eliminació remota, ometent",
-  "home_page_favorite_err_local": "Can not favorite local assets yet, skipping",
-  "home_page_favorite_err_partner": "Can not favorite partner assets yet, skipping",
-  "home_page_first_time_notice": "If this is your first time using the app, please make sure to choose a backup album(s) so that the timeline can populate photos and videos in the album(s).",
-  "home_page_share_err_local": "Can not share local assets via link, skipping",
-  "home_page_upload_err_limit": "Can only upload a maximum of 30 assets at a time, skipping",
+  "home_page_favorite_err_local": "Encara no es pot afegir a preferits elements locals, ometent",
+  "home_page_favorite_err_partner": "Encara no es pot afegir a preferits elements de companys, ometent",
+  "home_page_first_time_notice": "Si és la primera vegada que utilitzes l'app, si us plau, assegura't d'escollir un àlbum de còpia de seguretat perquè la línia de temps pugui carregar fotos i vídeos als àlbums.",
+  "home_page_share_err_local": "No es poden compartir els elements locals a través d'un enllaç, ometent",
+  "home_page_upload_err_limit": "Només es poden pujar un màxim de 30 elements alhora, ometent",
   "ignore_icloud_photos": "Ignora fotos d'iCloud",
   "ignore_icloud_photos_description": "Les fotos emmagatzemades a iCloud no es penjaran al servidor Immich",
   "image_saved_successfully": "Imatge desada",
-  "image_viewer_page_state_provider_download_error": "Download Error",
-  "image_viewer_page_state_provider_download_started": "Descàrrega començada",
-  "image_viewer_page_state_provider_download_success": "Download Success",
-  "image_viewer_page_state_provider_share_error": "Share Error",
+  "image_viewer_page_state_provider_download_error": "Error de baixada",
+  "image_viewer_page_state_provider_download_started": "Baixada començada",
+  "image_viewer_page_state_provider_download_success": "Baixada amb èxit",
+  "image_viewer_page_state_provider_share_error": "Error en compartir",
   "invalid_date": "Data invàlida",
   "invalid_date_format": "Format de data invàlid",
   "library": "Llibreria",
   "library_page_albums": "Àlbums",
   "library_page_archive": "Arxiu",
   "library_page_device_albums": "Àlbums al Dispositiu",
-  "library_page_favorites": "Favorites",
-  "library_page_new_album": "New album",
-  "library_page_sharing": "Sharing",
-  "library_page_sort_asset_count": "Number of assets",
-  "library_page_sort_created": "Created date",
-  "library_page_sort_last_modified": "Last modified",
-  "library_page_sort_most_oldest_photo": "Oldest photo",
-  "library_page_sort_most_recent_photo": "Most recent photo",
-  "library_page_sort_title": "Album title",
+  "library_page_favorites": "Preferits",
+  "library_page_new_album": "Nou àlbum",
+  "library_page_sharing": "Compartint",
+  "library_page_sort_asset_count": "Nombre d'elements",
+  "library_page_sort_created": "Creat més recentment",
+  "library_page_sort_last_modified": "Darrera modificació",
+  "library_page_sort_most_oldest_photo": "Foto més antiga",
+  "library_page_sort_most_recent_photo": "Foto més recent",
+  "library_page_sort_title": "Títol de l'àlbum",
   "local_network": "Xarxa local",
   "local_network_sheet_info": "L'aplicació es connectarà al servidor mitjançant aquest URL quan utilitzeu la xarxa Wi-Fi especificada",
   "location_permission": "Permís d'ubicació",
@@ -329,61 +340,61 @@
   "location_picker_choose_on_map": "Escollir en el mapa",
   "location_picker_latitude": "Latitud",
   "location_picker_latitude_error": "Introdueix una latitud vàlida",
-  "location_picker_latitude_hint": "Enter your latitude here",
+  "location_picker_latitude_hint": "Introdueix aquí la latitud",
   "location_picker_longitude": "Longitud",
   "location_picker_longitude_error": "Introdueix una longitud vàlida",
   "location_picker_longitude_hint": "Introdueix aquí la longitud",
-  "login_disabled": "Login has been disabled",
-  "login_form_api_exception": "API exception. Please check the server URL and try again.",
-  "login_form_back_button_text": "Back",
+  "login_disabled": "S'ha desactivat l'inici de sessió",
+  "login_form_api_exception": "Excepció de l'API. Comproveu l'URL del servidor i torneu-ho a provar.",
+  "login_form_back_button_text": "Enrere",
   "login_form_button_text": "Entra",
   "login_form_email_hint": "elteu@correu.cat",
   "login_form_endpoint_hint": "http://ip-del-servidor:port",
   "login_form_endpoint_url": "URL del servidor",
   "login_form_err_http": "Especifica http:// o https://",
   "login_form_err_invalid_email": "Adreça de correu electrònic no vàlida",
-  "login_form_err_invalid_url": "Invalid URL",
+  "login_form_err_invalid_url": "URL no vàlid",
   "login_form_err_leading_whitespace": "Espai en blanc al principi",
   "login_form_err_trailing_whitespace": "Espai en blanc al final",
-  "login_form_failed_get_oauth_server_config": "Error logging using OAuth, check server URL",
-  "login_form_failed_get_oauth_server_disable": "OAuth feature is not available on this server",
-  "login_form_failed_login": "Error logging you in, check server URL, email and password",
-  "login_form_handshake_exception": "There was an Handshake Exception with the server. Enable self-signed certificate support in the settings if you are using a self-signed certificate.",
+  "login_form_failed_get_oauth_server_config": "Error en iniciar sessió amb OAuth, comprova l'URL del servidor",
+  "login_form_failed_get_oauth_server_disable": "La funcionalitat OAuth no està disponible en aquest servidor",
+  "login_form_failed_login": "Error en iniciar sessió, comprova l'URL del servidor, el correu electrònic i la contrasenya.",
+  "login_form_handshake_exception": "S'ha produït una excepció de handshake amb el servidor. Activa el suport per certificats autofirmats a la configuració si estàs fent servir un certificat autofirmat.",
   "login_form_label_email": "Correu electrònic",
   "login_form_label_password": "Contrasenya",
   "login_form_next_button": "Següent",
   "login_form_password_hint": "contrasenya",
   "login_form_save_login": "Mantingues identificat",
-  "login_form_server_empty": "Enter a server URL.",
-  "login_form_server_error": "Could not connect to server.",
-  "login_password_changed_error": "There was an error updating your password",
-  "login_password_changed_success": "Password updated successfully",
+  "login_form_server_empty": "Introdueix l'URL del servidor.",
+  "login_form_server_error": "No s'ha pogut connectar al servidor.",
+  "login_password_changed_error": "S'ha produït un error en actualitzar la contrasenya",
+  "login_password_changed_success": "La contrasenya s'ha canviat correctament",
   "map_assets_in_bound": "{} foto",
   "map_assets_in_bounds": "{} fotos",
-  "map_cannot_get_user_location": "Cannot get user's location",
-  "map_location_dialog_cancel": "Cancel",
-  "map_location_dialog_yes": "Yes",
+  "map_cannot_get_user_location": "No es pot obtenir la ubicació de l'usuari",
+  "map_location_dialog_cancel": "Cancel·la",
+  "map_location_dialog_yes": "Sí",
   "map_location_picker_page_use_location": "Utilitzar aquesta ubicació",
-  "map_location_service_disabled_content": "Location service needs to be enabled to display assets from your current location. Do you want to enable it now?",
-  "map_location_service_disabled_title": "Location Service disabled",
-  "map_no_assets_in_bounds": "No photos in this area",
-  "map_no_location_permission_content": "Location permission is needed to display assets from your current location. Do you want to allow it now?",
-  "map_no_location_permission_title": "Location Permission denied",
-  "map_settings_dark_mode": "Dark mode",
-  "map_settings_date_range_option_all": "All",
+  "map_location_service_disabled_content": "El servei de localització s'ha d'activar per mostrar els elements de la teva ubicació actual. Vols activar-lo ara?",
+  "map_location_service_disabled_title": "Servei de localització desactivat",
+  "map_no_assets_in_bounds": "No hi ha fotos en aquesta zona",
+  "map_no_location_permission_content": "Es necessita el permís de localització per mostrar els elements de la teva ubicació actual. Vols permetre-ho ara?",
+  "map_no_location_permission_title": "Permís de localització denegat",
+  "map_settings_dark_mode": "Mode fosc",
+  "map_settings_date_range_option_all": "Tot",
   "map_settings_date_range_option_day": "Últimes 24 hores",
   "map_settings_date_range_option_days": "Darrers {} dies",
   "map_settings_date_range_option_year": "Any passat",
   "map_settings_date_range_option_years": "Darrers {} anys",
-  "map_settings_dialog_cancel": "Cancel",
-  "map_settings_dialog_save": "Save",
-  "map_settings_dialog_title": "Map Settings",
-  "map_settings_include_show_archived": "Include Archived",
+  "map_settings_dialog_cancel": "Cancel·la",
+  "map_settings_dialog_save": "Desa",
+  "map_settings_dialog_title": "Configuració del mapa",
+  "map_settings_include_show_archived": "Incloure arxivats",
   "map_settings_include_show_partners": "Incloure companys",
-  "map_settings_only_relative_range": "Date range",
-  "map_settings_only_show_favorites": "Show Favorite Only",
+  "map_settings_only_relative_range": "Rang de dates",
+  "map_settings_only_show_favorites": "Mostra només preferits",
   "map_settings_theme_settings": "Tema del Mapa",
-  "map_zoom_to_see_photos": "Zoom out to see photos",
+  "map_zoom_to_see_photos": "Allunya per veure fotos",
   "memories_all_caught_up": "Posat al dia",
   "memories_check_back_tomorrow": "Torna demà per veure més records",
   "memories_start_over": "Torna a començar",
@@ -391,7 +402,7 @@
   "memories_year_ago": "Fa un any",
   "memories_years_ago": "Fa {} anys",
   "monthly_title_text_date_format": "MMMM y",
-  "motion_photos_page_title": "Motion Photos",
+  "motion_photos_page_title": "Fotos en moviment",
   "multiselect_grid_edit_date_time_err_read_only": "No es pot canviar la data del fitxer(s) de només lectura, ometent",
   "multiselect_grid_edit_gps_err_read_only": "No es pot canviar la localització de fitxers de només lectura. Saltant.",
   "my_albums": "Els meus àlbums",
@@ -400,58 +411,58 @@
   "no_assets_to_show": "No hi ha elements per mostrar",
   "no_name": "Sense nom",
   "notification_permission_dialog_cancel": "Cancel·la",
-  "notification_permission_dialog_content": "To enable notifications, go to Settings and select allow.",
+  "notification_permission_dialog_content": "Per activar les notificacions, aneu a Configuració i seleccioneu permet.",
   "notification_permission_dialog_settings": "Configuració",
-  "notification_permission_list_tile_content": "Grant permission to enable notifications.",
+  "notification_permission_list_tile_content": "Atorga permís per a activar les notificacions.",
   "notification_permission_list_tile_enable_button": "Activa les notificacions",
-  "notification_permission_list_tile_title": "Notification Permission",
+  "notification_permission_list_tile_title": "Permís de notificacions",
   "not_selected": "No seleccionat",
   "on_this_device": "En aquest dispositiu",
   "partner_list_user_photos": "fotos de {user}",
   "partner_list_view_all": "Veure tot",
   "partner_page_add_partner": "Afegeix company",
-  "partner_page_empty_message": "Your photos are not yet shared with any partner.",
-  "partner_page_no_more_users": "No more users to add",
-  "partner_page_partner_add_failed": "Failed to add partner",
+  "partner_page_empty_message": "Les teves fotos encara no estan compartides amb cap company.",
+  "partner_page_no_more_users": "No hi ha més usuaris a afegir",
+  "partner_page_partner_add_failed": "No s'ha pogut afegir el company",
   "partner_page_select_partner": "Escull company",
   "partner_page_shared_to_title": "Compartit amb",
-  "partner_page_stop_sharing_content": "{} will no longer be able to access your photos.",
-  "partner_page_stop_sharing_title": "Stop sharing your photos?",
+  "partner_page_stop_sharing_content": "{} ja no podrà accedir a les teves fotos.",
+  "partner_page_stop_sharing_title": "Vols deixar de compartir les teves fotos?",
   "partner_page_title": "Company",
   "partners": "Companys",
   "paused": "Pausat",
   "people": "Persones",
-  "permission_onboarding_back": "Back",
-  "permission_onboarding_continue_anyway": "Continue anyway",
-  "permission_onboarding_get_started": "Get started",
-  "permission_onboarding_go_to_settings": "Go to settings",
+  "permission_onboarding_back": "Torna",
+  "permission_onboarding_continue_anyway": "Continua de totes maneres",
+  "permission_onboarding_get_started": "Comença",
+  "permission_onboarding_go_to_settings": "Ves a la configuració",
   "permission_onboarding_grant_permission": "Dona permisos",
-  "permission_onboarding_log_out": "Log out",
-  "permission_onboarding_permission_denied": "Permission denied. To use Immich, grant photo and video permissions in Settings.",
-  "permission_onboarding_permission_granted": "Permission granted! You are all set.",
-  "permission_onboarding_permission_limited": "Permission limited. To let Immich backup and manage your entire gallery collection, grant photo and video permissions in Settings.",
-  "permission_onboarding_request": "Immich requires permission to view your photos and videos.",
+  "permission_onboarding_log_out": "Tanca la sessió",
+  "permission_onboarding_permission_denied": "S'ha denegat el permís. Per utilitzar Immich, concediu permisos de fotos i vídeos a Configuració.",
+  "permission_onboarding_permission_granted": "Permís concedit! Tot a punt.",
+  "permission_onboarding_permission_limited": "Permís limitat. Per a permetre que Immich faci còpies de seguretat i gestioni tota la col·lecció de la galeria, concediu permisos de fotos i vídeos a Configuració.",
+  "permission_onboarding_request": "Immich requereix permís per veure les vostres fotos i vídeos.",
   "places": "Llocs",
   "preferences_settings_subtitle": "Gestiona les preferències de l'aplicació",
   "preferences_settings_title": "Preferències",
-  "profile_drawer_app_logs": "Logs",
-  "profile_drawer_client_out_of_date_major": "Mobile App is out of date. Please update to the latest major version.",
-  "profile_drawer_client_out_of_date_minor": "Mobile App is out of date. Please update to the latest minor version.",
-  "profile_drawer_client_server_up_to_date": "Client and Server are up-to-date",
-  "profile_drawer_documentation": "Documentation",
+  "profile_drawer_app_logs": "Registres",
+  "profile_drawer_client_out_of_date_major": "L'aplicació mòbil està desactualitzada. Si us plau, actualitzeu a l'última versió major.",
+  "profile_drawer_client_out_of_date_minor": "L'aplicació mòbil està desactualitzada. Si us plau, actualitzeu a l'última versió menor.",
+  "profile_drawer_client_server_up_to_date": "El Client i el Servidor estan actualitzats",
+  "profile_drawer_documentation": "Documentació",
   "profile_drawer_github": "GitHub",
-  "profile_drawer_server_out_of_date_major": "Server is out of date. Please update to the latest major version.",
-  "profile_drawer_server_out_of_date_minor": "Server is out of date. Please update to the latest minor version.",
-  "profile_drawer_settings": "Settings",
+  "profile_drawer_server_out_of_date_major": "L'aplicació mòbil està desactualitzada. Si us plau, actualitzeu a l'última versió major.",
+  "profile_drawer_server_out_of_date_minor": "L'aplicació mòbil està desactualitzada. Si us plau, actualitzeu a l'última versió menor.",
+  "profile_drawer_settings": "Configuració",
   "profile_drawer_sign_out": "Tanca la sessió",
-  "profile_drawer_trash": "Trash",
+  "profile_drawer_trash": "Paperera",
   "recently_added": "Afegit recentment",
-  "recently_added_page_title": "Recently Added",
+  "recently_added_page_title": "Afegit recentment",
   "save": "Desa",
   "save_to_gallery": "Desa a galeria",
   "scaffold_body_error_occurred": "S'ha produït un error",
   "search_albums": "Cerca àlbums",
-  "search_bar_hint": "Search your photos",
+  "search_bar_hint": "Cerca les teves fotos",
   "search_filter_apply": "Aplicar filtre",
   "search_filter_camera": "Càmera",
   "search_filter_camera_make": "Marca",
@@ -463,7 +474,7 @@
   "search_filter_date_title": "Selecciona un rang de dates",
   "search_filter_description": "Cerca per descripció",
   "search_filter_display_option_archive": "Arxivat",
-  "search_filter_display_option_favorite": "Favorit",
+  "search_filter_display_option_favorite": "Preferit",
   "search_filter_display_option_not_in_album": "No en àlbum",
   "search_filter_display_options": "Opcions de Visualització",
   "search_filter_display_options_title": "Opcions de visualització",
@@ -486,60 +497,60 @@
   "search_page_categories": "Categories",
   "search_page_favorites": "Preferides",
   "search_page_motion_photos": "Fotografies animades",
-  "search_page_no_objects": "No Objects Info Available",
-  "search_page_no_places": "No Places Info Available",
+  "search_page_no_objects": "No hi ha informació d'objectes disponibles",
+  "search_page_no_places": "No hi ha informació de llocs disponibles",
   "search_page_people": "Persones",
-  "search_page_person_add_name_dialog_cancel": "Cancel",
-  "search_page_person_add_name_dialog_hint": "Name",
-  "search_page_person_add_name_dialog_save": "Save",
-  "search_page_person_add_name_dialog_title": "Add a name",
-  "search_page_person_add_name_subtitle": "Find them fast by name with search",
-  "search_page_person_add_name_title": "Add a name",
-  "search_page_person_edit_name": "Edit name",
+  "search_page_person_add_name_dialog_cancel": "Cancel·la",
+  "search_page_person_add_name_dialog_hint": "Nom",
+  "search_page_person_add_name_dialog_save": "Desa",
+  "search_page_person_add_name_dialog_title": "Afegeix un nom",
+  "search_page_person_add_name_subtitle": "Troba'ls ràpid buscant per nom",
+  "search_page_person_add_name_title": "Afegeix un nom",
+  "search_page_person_edit_name": "Edita el nom",
   "search_page_places": "Llocs",
   "search_page_recently_added": "Afegit recentment",
   "search_page_screenshots": "Captures de pantalla",
   "search_page_search_photos_videos": "Cerca les teves fotos i vídeos",
   "search_page_selfies": "Autofotos",
   "search_page_things": "Coses",
-  "search_page_videos": "Videos",
+  "search_page_videos": "Vídeos",
   "search_page_view_all_button": "Veure tot",
-  "search_page_your_activity": "Your activity",
-  "search_page_your_map": "Your Map",
+  "search_page_your_activity": "La teva activitat",
+  "search_page_your_map": "El teu mapa",
   "search_result_page_new_search_hint": "Cerca nova",
-  "search_suggestion_list_smart_search_hint_1": "Smart search is enabled by default, to search for metadata use the syntax ",
-  "search_suggestion_list_smart_search_hint_2": "m:your-search-term",
+  "search_suggestion_list_smart_search_hint_1": "La cerca intel·ligent està habilitada per defecte, per a cercar metadades utilitzeu la sintaxi ",
+  "search_suggestion_list_smart_search_hint_2": "m:el-teu-terme-de-cerca",
   "select_additional_user_for_sharing_page_suggestions": "Suggeriments",
   "select_user_for_sharing_page_err_album": "Error al crear l'àlbum",
-  "select_user_for_sharing_page_share_suggestions": "Suggestions",
+  "select_user_for_sharing_page_share_suggestions": "Suggeriments",
   "server_endpoint": "Endpoint de Servidor",
   "server_info_box_app_version": "Versió de l'aplicació",
-  "server_info_box_latest_release": "Latest Version",
-  "server_info_box_server_url": "Server URL",
+  "server_info_box_latest_release": "Última versió",
+  "server_info_box_server_url": "URL del servidor",
   "server_info_box_server_version": "Versió del servidor",
-  "setting_image_viewer_help": "The detail viewer loads the small thumbnail first, then loads the medium-size preview (if enabled), finally loads the original (if enabled).",
-  "setting_image_viewer_original_subtitle": "Enable to load the original full-resolution image (large!). Disable to reduce data usage (both network and on device cache).",
-  "setting_image_viewer_original_title": "Load original image",
-  "setting_image_viewer_preview_subtitle": "Enable to load a medium-resolution image. Disable to either directly load the original or only use the thumbnail.",
-  "setting_image_viewer_preview_title": "Load preview image",
+  "setting_image_viewer_help": "El visor de detalls carrega primer la miniatura petita, després carrega la vista prèvia de mida mitjana (si està habilitada), finalment carrega l'original (si està habilitada).",
+  "setting_image_viewer_original_subtitle": "Activa per carregar la imatge en resolució original (molt gran!). Desactiva per reduir el consum de dades (tant de xarxa com de memòria cau).",
+  "setting_image_viewer_original_title": "Carrega la imatge original",
+  "setting_image_viewer_preview_subtitle": "Activa per carregar una imatge de resolució mitjana. Desactiva per carregar directament la imatge original, o bé utilitzar només la miniatura.",
+  "setting_image_viewer_preview_title": "Carrega la imatge de vista prèvia",
   "setting_image_viewer_title": "Imatges",
   "setting_languages_apply": "Aplicar",
   "setting_languages_subtitle": "Canvia el llenguatge de l'aplicació",
   "setting_languages_title": "Idiomes",
-  "setting_notifications_notify_failures_grace_period": "Notify background backup failures: {}",
-  "setting_notifications_notify_hours": "{} hours",
-  "setting_notifications_notify_immediately": "immediately",
-  "setting_notifications_notify_minutes": "{} minutes",
-  "setting_notifications_notify_never": "never",
-  "setting_notifications_notify_seconds": "{} seconds",
-  "setting_notifications_single_progress_subtitle": "Detailed upload progress information per asset",
-  "setting_notifications_single_progress_title": "Show background backup detail progress",
-  "setting_notifications_subtitle": "Adjust your notification preferences",
-  "setting_notifications_title": "Notifications",
-  "setting_notifications_total_progress_subtitle": "Overall upload progress (done/total assets)",
-  "setting_notifications_total_progress_title": "Show background backup total progress",
-  "setting_pages_app_bar_settings": "Settings",
-  "settings_require_restart": "Please restart Immich to apply this setting",
+  "setting_notifications_notify_failures_grace_period": "Notifica les fallades de la còpia de seguretat en segon pla: {}",
+  "setting_notifications_notify_hours": "{} hores",
+  "setting_notifications_notify_immediately": "immediatament",
+  "setting_notifications_notify_minutes": "{} minuts",
+  "setting_notifications_notify_never": "mai",
+  "setting_notifications_notify_seconds": "{} segons",
+  "setting_notifications_single_progress_subtitle": "Informació detallada del progrés de la pujada de cada fitxer",
+  "setting_notifications_single_progress_title": "Mostra el progrés detallat de la còpia de seguretat en segon pla",
+  "setting_notifications_subtitle": "Ajusta les preferències de notificació",
+  "setting_notifications_title": "Notificacions",
+  "setting_notifications_total_progress_subtitle": "Progrés general de la pujada (elements completats/total)",
+  "setting_notifications_total_progress_title": "Mostra el progrés total de la còpia de seguretat en segon pla",
+  "setting_pages_app_bar_settings": "Configuració",
+  "settings_require_restart": "Si us plau, reinicieu Immich per a aplicar aquest canvi",
   "setting_video_viewer_looping_subtitle": "Habilita per reproduir automàticament un vídeo al visualitzador de detalls.",
   "setting_video_viewer_looping_title": "Bucle",
   "setting_video_viewer_original_video_subtitle": "Quan reproduïu un vídeo des del servidor, reproduïu l'original encara que hi hagi una transcodificació disponible. Pot conduir a l'amortització. Els vídeos disponibles localment es reprodueixen en qualitat original independentment d'aquesta configuració.",
@@ -550,33 +561,33 @@
   "share_add_title": "Afegeix un títol",
   "share_assets_selected": "{} seleccionats",
   "share_create_album": "Crea un àlbum",
-  "shared_album_activities_input_disable": "Comment is disabled",
-  "shared_album_activities_input_hint": "Say something",
-  "shared_album_activity_remove_content": "Do you want to delete this activity?",
-  "shared_album_activity_remove_title": "Delete Activity",
-  "shared_album_activity_setting_subtitle": "Let others respond",
-  "shared_album_activity_setting_title": "Comments & likes",
-  "shared_album_section_people_action_error": "Error leaving/removing from album",
-  "shared_album_section_people_action_leave": "Remove user from album",
-  "shared_album_section_people_action_remove_user": "Remove user from album",
-  "shared_album_section_people_owner_label": "Owner",
-  "shared_album_section_people_title": "PEOPLE",
-  "share_dialog_preparing": "Preparing...",
+  "shared_album_activities_input_disable": "Els comentaris estan desactivats",
+  "shared_album_activities_input_hint": "Digues alguna cosa",
+  "shared_album_activity_remove_content": "Voleu eliminar aquesta activitat?",
+  "shared_album_activity_remove_title": "Elimina l'activitat",
+  "shared_album_activity_setting_subtitle": "Permet que altres responguin",
+  "shared_album_activity_setting_title": "Comentaris i m'agrada",
+  "shared_album_section_people_action_error": "S'ha produït un error en retirar-se/eliminar l'àlbum",
+  "shared_album_section_people_action_leave": "Elimina l'usuari de l'àlbum",
+  "shared_album_section_people_action_remove_user": "Elimina l'usuari de l'àlbum",
+  "shared_album_section_people_owner_label": "Amo",
+  "shared_album_section_people_title": "PERSONES",
+  "share_dialog_preparing": "S'està preparant...",
   "shared_intent_upload_button_progress_text": "{} / {} Pujat",
-  "shared_link_app_bar_title": "Shared Links",
-  "shared_link_clipboard_copied_massage": "Copied to clipboard",
-  "shared_link_clipboard_text": "Link: {}\nPassword: {}",
-  "shared_link_create_app_bar_title": "Create link to share",
-  "shared_link_create_error": "Error while creating shared link",
-  "shared_link_create_info": "Let anyone with the link see the selected photo(s)",
-  "shared_link_create_submit_button": "Create link",
-  "shared_link_edit_allow_download": "Allow public user to download",
-  "shared_link_edit_allow_upload": "Allow public user to upload",
-  "shared_link_edit_app_bar_title": "Edit link",
-  "shared_link_edit_change_expiry": "Change expiration time",
-  "shared_link_edit_description": "Description",
-  "shared_link_edit_description_hint": "Enter the share description",
-  "shared_link_edit_expire_after": "Expire after",
+  "shared_link_app_bar_title": "Enllaços compartits",
+  "shared_link_clipboard_copied_massage": "S'ha copiat al porta-retalls",
+  "shared_link_clipboard_text": "Enllaç: {}\nContrasenya: {}",
+  "shared_link_create_app_bar_title": "Crea un enllaç per compartir",
+  "shared_link_create_error": "S'ha produït un error en crear l'enllaç compartit",
+  "shared_link_create_info": "Permet que qualsevol persona amb l'enllaç vegi les fotografies seleccionades",
+  "shared_link_create_submit_button": "Crea enllaç",
+  "shared_link_edit_allow_download": "Permet que usuaris públics descarreguin",
+  "shared_link_edit_allow_upload": "Permet que usuaris públics publiquin",
+  "shared_link_edit_app_bar_title": "Edita l'enllaç",
+  "shared_link_edit_change_expiry": "Canvia la data de caducitat",
+  "shared_link_edit_description": "Descripció",
+  "shared_link_edit_description_hint": "Introduïu la descripció de compartició",
+  "shared_link_edit_expire_after": "Caduca després de",
   "shared_link_edit_expire_after_option_day": "1 dia",
   "shared_link_edit_expire_after_option_days": "{} dies",
   "shared_link_edit_expire_after_option_hour": "1 hora",
@@ -584,98 +595,98 @@
   "shared_link_edit_expire_after_option_minute": "1 minut",
   "shared_link_edit_expire_after_option_minutes": "{} minuts",
   "shared_link_edit_expire_after_option_months": "{} mesos",
-  "shared_link_edit_expire_after_option_never": "Never",
+  "shared_link_edit_expire_after_option_never": "Mai",
   "shared_link_edit_expire_after_option_year": "any {}",
-  "shared_link_edit_password": "Password",
-  "shared_link_edit_password_hint": "Enter the share password",
-  "shared_link_edit_show_meta": "Show metadata",
-  "shared_link_edit_submit_button": "Update link",
-  "shared_link_empty": "You don't have any shared links",
-  "shared_link_error_server_url_fetch": "Cannot fetch the server url",
-  "shared_link_expired": "Expired",
+  "shared_link_edit_password": "Contrasenya",
+  "shared_link_edit_password_hint": "Introduïu la contrasenya de compartició",
+  "shared_link_edit_show_meta": "Mostra metadades",
+  "shared_link_edit_submit_button": "Actualitza l'enllaç",
+  "shared_link_empty": "No tens cap enllaç compartit",
+  "shared_link_error_server_url_fetch": "No s'ha pogut obtenir l'URL del servidor",
+  "shared_link_expired": "Caducat",
   "shared_link_expires_day": "Caduca d'aquí a {} dia",
   "shared_link_expires_days": "Caduca d'aquí a {} dies",
   "shared_link_expires_hour": "Caduca d'aquí a {} hora",
   "shared_link_expires_hours": "Caduca d'aquí a {} hores",
   "shared_link_expires_minute": "Caduca d'aquí a {} minut",
-  "shared_link_expires_minutes": "Expires in {} minutes",
-  "shared_link_expires_never": "Expires ∞",
+  "shared_link_expires_minutes": "Caduca d'aquí a {} minuts",
+  "shared_link_expires_never": "Caduca ∞",
   "shared_link_expires_second": "Caduca d'aquí a {} segon",
-  "shared_link_expires_seconds": "Expires in {} seconds",
+  "shared_link_expires_seconds": "Caduca d'aquí a {} segons",
   "shared_link_individual_shared": "Individual compartit",
-  "shared_link_info_chip_download": "Download",
+  "shared_link_info_chip_download": "Baixa",
   "shared_link_info_chip_metadata": "EXIF",
   "shared_link_info_chip_upload": "Puja",
-  "shared_link_manage_links": "Manage Shared links",
+  "shared_link_manage_links": "Gestiona els enllaços compartits",
   "shared_link_public_album": "Àlbum públic",
   "shared_links": "Enllaços compartits",
-  "share_done": "Done",
+  "share_done": "Fet",
   "shared_with_me": "Compartit amb mi",
   "share_invite": "Convida a l'àlbum",
-  "sharing_page_album": "Shared albums",
-  "sharing_page_description": "Create shared albums to share photos and videos with people in your network.",
-  "sharing_page_empty_list": "EMPTY LIST",
+  "sharing_page_album": "Àlbums compartits",
+  "sharing_page_description": "Crea àlbums compartits per compartir fotos i vídeos amb persones de la teva xarxa.",
+  "sharing_page_empty_list": "LLISTA BUIDA",
   "sharing_silver_appbar_create_shared_album": "Crea àlbum compartit",
-  "sharing_silver_appbar_shared_links": "Shared links",
+  "sharing_silver_appbar_shared_links": "Enllaços compartits",
   "sharing_silver_appbar_share_partner": "Comparteix amb un company",
   "start_date": "Data inicial",
   "sync": "Sincronitzar",
   "sync_albums": "Sincronitzar àlbums",
   "sync_albums_manual_subtitle": "Sincronitza tots els vídeos i fotos penjats amb els àlbums de còpia de seguretat seleccionats",
   "sync_upload_album_setting_subtitle": "Creeu i pugeu les seves fotos i vídeos als àlbums seleccionats a Immich",
-  "tab_controller_nav_library": "Library",
+  "tab_controller_nav_library": "Llibreria",
   "tab_controller_nav_photos": "Fotografies",
   "tab_controller_nav_search": "Cerca",
   "tab_controller_nav_sharing": "Compartint",
-  "theme_setting_asset_list_storage_indicator_title": "Show storage indicator on asset tiles",
-  "theme_setting_asset_list_tiles_per_row_title": "Number of assets per row ({})",
+  "theme_setting_asset_list_storage_indicator_title": "Mostra l'indicador d'emmagatzematge als títols dels elements",
+  "theme_setting_asset_list_tiles_per_row_title": "Nombre d'elements per fila ({})",
   "theme_setting_colorful_interface_subtitle": "Apliqueu color primari a les superfícies de fons.",
   "theme_setting_colorful_interface_title": "Interfície colorida",
-  "theme_setting_dark_mode_switch": "Dark mode",
-  "theme_setting_image_viewer_quality_subtitle": "Adjust the quality of the detail image viewer",
-  "theme_setting_image_viewer_quality_title": "Image viewer quality",
+  "theme_setting_dark_mode_switch": "Tema fosc",
+  "theme_setting_image_viewer_quality_subtitle": "Ajusta la qualitat del visor de detalls d'imatges",
+  "theme_setting_image_viewer_quality_title": "Qualitat del visor d'imatges",
   "theme_setting_primary_color_subtitle": "Trieu un color per a les accions i els accents principals.",
   "theme_setting_primary_color_title": "Color primari",
   "theme_setting_system_primary_color_title": "Utilitza color de sistema",
-  "theme_setting_system_theme_switch": "Automatic (Follow system setting)",
-  "theme_setting_theme_subtitle": "Choose the app's theme setting",
-  "theme_setting_theme_title": "Theme",
-  "theme_setting_three_stage_loading_subtitle": "Three-stage loading might increase the loading performance but causes significantly higher network load",
-  "theme_setting_three_stage_loading_title": "Enable three-stage loading",
-  "translated_text_options": "Options",
+  "theme_setting_system_theme_switch": "Automàtic (Segueix la configuració del sistema)",
+  "theme_setting_theme_subtitle": "Trieu la configuració del tema de l'aplicació",
+  "theme_setting_theme_title": "Tema",
+  "theme_setting_three_stage_loading_subtitle": "La càrrega en tres etapes podria augmentar el rendiment de càrrega, però causa un consum de xarxa significativament més alt",
+  "theme_setting_three_stage_loading_title": "Activa la càrrega en tres etapes",
+  "translated_text_options": "Opcions",
   "trash": "Paperera",
   "trash_emptied": "Paperera buidada",
-  "trash_page_delete": "Delete",
-  "trash_page_delete_all": "Delete All",
-  "trash_page_empty_trash_btn": "Empty trash",
-  "trash_page_empty_trash_dialog_content": "Do you want to empty your trashed assets? These items will be permanently removed from Immich",
-  "trash_page_empty_trash_dialog_ok": "Ok",
-  "trash_page_info": "Trashed items will be permanently deleted after {} days",
-  "trash_page_no_assets": "No trashed assets",
-  "trash_page_restore": "Restore",
-  "trash_page_restore_all": "Restore All",
-  "trash_page_select_assets_btn": "Select assets",
-  "trash_page_select_btn": "Select",
-  "trash_page_title": "Trash ({})",
+  "trash_page_delete": "Elimina",
+  "trash_page_delete_all": "Eliminar-ho tot",
+  "trash_page_empty_trash_btn": "Buida la paperera",
+  "trash_page_empty_trash_dialog_content": "Segur que voleu eliminar els elements? Aquests elements seran eliminats permanentment de Immich",
+  "trash_page_empty_trash_dialog_ok": "Sí",
+  "trash_page_info": "Els elements que s'enviïn a la paperera s'eliminaran permanentment després de {} dies",
+  "trash_page_no_assets": "No hi ha elements a la paperera",
+  "trash_page_restore": "Restaura",
+  "trash_page_restore_all": "Restaura-ho tot",
+  "trash_page_select_assets_btn": "Selecciona elements",
+  "trash_page_select_btn": "Selecciona",
+  "trash_page_title": "Paperera ({})",
   "upload": "Puja",
-  "upload_dialog_cancel": "Cancel",
-  "upload_dialog_info": "Do you want to backup the selected Asset(s) to the server?",
-  "upload_dialog_ok": "Upload",
-  "upload_dialog_title": "Upload Asset",
+  "upload_dialog_cancel": "Cancel·la",
+  "upload_dialog_info": "Vols fer còpia de seguretat dels elements seleccionats al servidor?",
+  "upload_dialog_ok": "Puja",
+  "upload_dialog_title": "Puja elements",
   "uploading": "Pujant",
   "upload_to_immich": "Puja a Immich ({})",
   "use_current_connection": "utilitzar la connexió actual",
   "validate_endpoint_error": "Per favor introdueix un URL vàlid",
-  "version_announcement_overlay_ack": "Acknowledge",
-  "version_announcement_overlay_release_notes": "release notes",
-  "version_announcement_overlay_text_1": "Hi friend, there is a new release of",
-  "version_announcement_overlay_text_2": "please take your time to visit the ",
-  "version_announcement_overlay_text_3": " and ensure your docker-compose and .env setup is up-to-date to prevent any misconfigurations, especially if you use WatchTower or any mechanism that handles updating your server application automatically.",
-  "version_announcement_overlay_title": "New Server Version Available \uD83C\uDF89",
+  "version_announcement_overlay_ack": "D'acord",
+  "version_announcement_overlay_release_notes": "notes de llançament",
+  "version_announcement_overlay_text_1": "Hola amic, hi ha una nova versió d'",
+  "version_announcement_overlay_text_2": "si us plau, pren-te una estona per visitar les ",
+  "version_announcement_overlay_text_3": " i assegura't que la teva configuració de docker-compose i .env estiguin actualitzades per evitar qualsevol error de configuració, especialment si utilitzes WatchTower o qualsevol mecanisme que gestioni l'actualització automàtica de l'aplicació del servidor.",
+  "version_announcement_overlay_title": "Nova versió del servidor disponible \uD83C\uDF89",
   "videos": "Vídeos",
-  "viewer_remove_from_stack": "Remove from Stack",
-  "viewer_stack_use_as_main_asset": "Use as Main Asset",
-  "viewer_unstack": "Un-Stack",
+  "viewer_remove_from_stack": "Elimina de la pila",
+  "viewer_stack_use_as_main_asset": "Fes servir com a element principal",
+  "viewer_unstack": "Desapila",
   "wifi_name": "Nom WiFi",
   "your_wifi_name": "El teu nom WiFi"
 }

mobile/assets/i18n/cs-CZ.json

@@ -197,6 +197,7 @@
   "control_bottom_app_bar_edit_time": "Upravit datum a čas",
   "control_bottom_app_bar_favorite": "Oblíbené",
   "control_bottom_app_bar_share": "Sdílet",
+  "control_bottom_app_bar_share_link": "Sdílet odkaz",
   "control_bottom_app_bar_share_to": "Sdílet v",
   "control_bottom_app_bar_stack": "Zásobník",
   "control_bottom_app_bar_trash_from_immich": "Přesunout do koše",
@@ -252,6 +253,7 @@
   "edit_date_time_dialog_timezone": "Časové pásmo",
   "edit_image_title": "Upravit",
   "edit_location_dialog_title": "Poloha",
+  "empty_folder": "Tato složka je prázdná",
   "end_date": "Konečné datum",
   "enqueued": "Ve frontě",
   "enter_wifi_name": "Zadejte název WiFi",
@@ -263,6 +265,10 @@
   "exif_bottom_sheet_location_add": "Přidat polohu",
   "exif_bottom_sheet_people": "LIDÉ",
   "exif_bottom_sheet_person_add_person": "Přidat jméno",
+  "exif_bottom_sheet_person_age": "{} let",
+  "exif_bottom_sheet_person_age_months": "{} měsíců",
+  "exif_bottom_sheet_person_age_year_months": "1 rok a {} měsíců",
+  "exif_bottom_sheet_person_age_years": "{} let",
   "experimental_settings_new_asset_list_subtitle": "Zpracovávám",
   "experimental_settings_new_asset_list_title": "Povolení experimentální mřížky fotografií",
   "experimental_settings_subtitle": "Používejte na vlastní riziko!",
@@ -270,11 +276,16 @@
   "external_network": "Externí síť",
   "external_network_sheet_info": "Pokud nejste v preferované síti WiFi, aplikace se připojí k serveru prostřednictvím první z níže uvedených adres URL, které může dosáhnout, počínaje shora dolů",
   "failed": "Selhalo",
+  "failed_to_load_assets": "Nepodařilo se načíst položky",
+  "failed_to_load_folder": "Nepodařilo se načíst složku",
   "favorites": "Oblíbené",
   "favorites_page_no_favorites": "Nebyla nalezena žádná oblíbená média",
   "favorites_page_title": "Oblíbené",
   "filename_search": "Název nebo přípona souboru",
   "filter": "Filtr",
+  "folder": "Složka",
+  "folder_not_found": "Složka nebyla nalezena",
+  "folders": "Složky",
   "get_wifiname_error": "Nepodařilo se získat název Wi-Fi. Zkontrolujte, zda jste udělili potřebná oprávnění a zda jste připojeni k Wi-Fi síti",
   "grant_permission": "Udělit oprávnění",
   "haptic_feedback_switch": "Povolit dotykovou zpětnou vazbu",

mobile/assets/i18n/da-DK.json

@@ -197,6 +197,7 @@
   "control_bottom_app_bar_edit_time": "Rediger tid og dato",
   "control_bottom_app_bar_favorite": "Favorit",
   "control_bottom_app_bar_share": "Del",
+  "control_bottom_app_bar_share_link": "Share Link",
   "control_bottom_app_bar_share_to": "Del til",
   "control_bottom_app_bar_stack": "Stak",
   "control_bottom_app_bar_trash_from_immich": "Flyt til papirkurv",
@@ -252,6 +253,7 @@
   "edit_date_time_dialog_timezone": "Tidszone",
   "edit_image_title": "Rediger",
   "edit_location_dialog_title": "Placering",
+  "empty_folder": "This folder is empty",
   "end_date": "End date",
   "enqueued": "Enqueued",
   "enter_wifi_name": "Indtast WiFi-navn",
@@ -263,6 +265,10 @@
   "exif_bottom_sheet_location_add": "Tilføj en placering",
   "exif_bottom_sheet_people": "PERSONER",
   "exif_bottom_sheet_person_add_person": "Tilføj navn",
+  "exif_bottom_sheet_person_age": "Age {}",
+  "exif_bottom_sheet_person_age_months": "Age {} months",
+  "exif_bottom_sheet_person_age_year_months": "Age 1 year, {} months",
+  "exif_bottom_sheet_person_age_years": "Age {}",
   "experimental_settings_new_asset_list_subtitle": "Under udarbejdelse",
   "experimental_settings_new_asset_list_title": "Aktiver eksperimentelt fotogitter",
   "experimental_settings_subtitle": "Brug på eget ansvar!",
@@ -270,11 +276,16 @@
   "external_network": "Eksternt netværk",
   "external_network_sheet_info": "Nå der er ikke er forbundet til det foretrukne WiFi-netværk, vil appen forbinde til den første URL, den kan forbinde til, på listen nedenfor. Startende med i toppen",
   "failed": "Failed",
+  "failed_to_load_assets": "Failed to load assets",
+  "failed_to_load_folder": "Failed to load folder",
   "favorites": "Favoritter",
   "favorites_page_no_favorites": "Ingen favoritter blev fundet",
   "favorites_page_title": "Favoritter",
   "filename_search": "File name or extension",
   "filter": "Filter",
+  "folder": "Folder",
+  "folder_not_found": "Folder not found",
+  "folders": "Folders",
   "get_wifiname_error": "Kunne ikke hente Wi-Fi-navn. Sørg for, at du har givet de nødvendige tilladelser og er forbundet til et Wi-Fi-netværk",
   "grant_permission": "Giv tilladelse",
   "haptic_feedback_switch": "Slå haptisk feedback til",

mobile/assets/i18n/de-DE.json

@@ -197,6 +197,7 @@
   "control_bottom_app_bar_edit_time": "Datum und Uhrzeit bearbeiten",
   "control_bottom_app_bar_favorite": "Favorit",
   "control_bottom_app_bar_share": "Teilen",
+  "control_bottom_app_bar_share_link": "Share Link",
   "control_bottom_app_bar_share_to": "Teilen mit",
   "control_bottom_app_bar_stack": "Stapeln",
   "control_bottom_app_bar_trash_from_immich": "in den Papierkorb schieben",
@@ -252,6 +253,7 @@
   "edit_date_time_dialog_timezone": "Zeitzone",
   "edit_image_title": "Bearbeiten",
   "edit_location_dialog_title": "Ort bearbeiten",
+  "empty_folder": "Dieser Ordner ist leer",
   "end_date": "Enddatum",
   "enqueued": "Eingereiht",
   "enter_wifi_name": "WLAN-Name eingeben",
@@ -263,6 +265,10 @@
   "exif_bottom_sheet_location_add": "Aufnahmeort hinzufügen",
   "exif_bottom_sheet_people": "PERSONEN",
   "exif_bottom_sheet_person_add_person": "Namen hinzufügen",
+  "exif_bottom_sheet_person_age": "Alter {}",
+  "exif_bottom_sheet_person_age_months": "Age {} months",
+  "exif_bottom_sheet_person_age_year_months": "Age 1 year, {} months",
+  "exif_bottom_sheet_person_age_years": "Age {}",
   "experimental_settings_new_asset_list_subtitle": "In Arbeit",
   "experimental_settings_new_asset_list_title": "Experimentelles Fotogitter aktivieren",
   "experimental_settings_subtitle": "Benutzung auf eigene Gefahr!",
@@ -270,11 +276,16 @@
   "external_network": "Externes Netzwerk",
   "external_network_sheet_info": "Wenn sich die App nicht im bevorzugten WLAN-Netzwerk befindet, verbindet sie sich mit dem Server über die erste der folgenden URLs, die sie erreichen kann (von oben nach unten)",
   "failed": "Fehlgeschlagen",
+  "failed_to_load_assets": "Fehler beim Laden von Daten",
+  "failed_to_load_folder": "Fehler beim Laden des Ordners",
   "favorites": "Favoriten",
   "favorites_page_no_favorites": "Keine favorisierten Inhalte gefunden",
   "favorites_page_title": "Favoriten",
   "filename_search": "Dateiname oder Dateityp",
   "filter": "Filter",
+  "folder": "Ordner",
+  "folder_not_found": "Ordner nicht gefunden",
+  "folders": "Ordner",
   "get_wifiname_error": "WLAN-Name konnte nicht ermittelt werden. Vergewissere dich, dass die erforderlichen Berechtigungen erteilt wurden und du mit einem WLAN-Netzwerk verbunden bist.\n",
   "grant_permission": "Erlaubnis gewähren",
   "haptic_feedback_switch": "Haptisches Feedback aktivieren",

mobile/assets/i18n/el-GR.json

@@ -197,6 +197,7 @@
   "control_bottom_app_bar_edit_time": "Επεξεργασία Ημερομηνίας & Ώρας",
   "control_bottom_app_bar_favorite": "Προσθήκη στα αγαπημένα",
   "control_bottom_app_bar_share": "Κοινοποίηση",
+  "control_bottom_app_bar_share_link": "Share Link",
   "control_bottom_app_bar_share_to": "Κοινοποίηση Σε",
   "control_bottom_app_bar_stack": "Στοίβα",
   "control_bottom_app_bar_trash_from_immich": "Μετακίνηση στα Απορρίμματα",
@@ -252,6 +253,7 @@
   "edit_date_time_dialog_timezone": "Ζώνη ώρας",
   "edit_image_title": "Επεξεργασία",
   "edit_location_dialog_title": "Τοποθεσία",
+  "empty_folder": "This folder is empty",
   "end_date": "End date",
   "enqueued": "Enqueued",
   "enter_wifi_name": "Enter WiFi name",
@@ -263,6 +265,10 @@
   "exif_bottom_sheet_location_add": "Προσθήκη τοποθεσίας",
   "exif_bottom_sheet_people": "ΑΝΘΡΩΠΟΙ",
   "exif_bottom_sheet_person_add_person": "Προσθήκη ονόματος",
+  "exif_bottom_sheet_person_age": "Age {}",
+  "exif_bottom_sheet_person_age_months": "Age {} months",
+  "exif_bottom_sheet_person_age_year_months": "Age 1 year, {} months",
+  "exif_bottom_sheet_person_age_years": "Age {}",
   "experimental_settings_new_asset_list_subtitle": "Σε εξέλιξη",
   "experimental_settings_new_asset_list_title": "Ενεργοποίηση πειραματικού πλέγματος φωτογραφιών",
   "experimental_settings_subtitle": "Χρησιμοποιείτε με δική σας ευθύνη!",
@@ -270,11 +276,16 @@
   "external_network": "External network",
   "external_network_sheet_info": "When not on the preferred WiFi network, the app will connect to the server through the first of the below URLs it can reach, starting from top to bottom",
   "failed": "Failed",
+  "failed_to_load_assets": "Failed to load assets",
+  "failed_to_load_folder": "Failed to load folder",
   "favorites": "Αγαπημένα",
   "favorites_page_no_favorites": "Δεν βρέθηκαν αγαπημένα στοιχεία",
   "favorites_page_title": "Αγαπημένα",
   "filename_search": "Όνομα αρχείου ή επέκταση",
   "filter": "Φίλτρο",
+  "folder": "Folder",
+  "folder_not_found": "Folder not found",
+  "folders": "Folders",
   "get_wifiname_error": "Could not get Wi-Fi name. Make sure you have granted the necessary permissions and are connected to a Wi-Fi network",
   "grant_permission": "Grant permission",
   "haptic_feedback_switch": "Ενεργοποίηση απτικής ανάδρασης",