diff --git a/.github/actions/install-frontend-deps/action.yml b/.github/actions/install-frontend-deps/action.yml
index 14a39c61e58..48aabd77778 100644
--- a/.github/actions/install-frontend-deps/action.yml
+++ b/.github/actions/install-frontend-deps/action.yml
@@ -3,13 +3,13 @@ description: Installs frontend dependencies with pnpm, with caching
 runs:
   using: 'composite'
   steps:
-    - name: setup node 20
-      uses: actions/setup-node@v4
+    - name: setup node 22
+      uses: actions/setup-node@v6
       with:
-        node-version: '20'
+        node-version: '22'
 
     - name: setup pnpm
-      uses: pnpm/action-setup@v4
+      uses: pnpm/action-setup@v6
       with:
         version: 10
         run_install: false
@@ -20,14 +20,16 @@ runs:
         echo "STORE_PATH=$(pnpm store path --silent)" >> $GITHUB_ENV
 
     - name: setup cache
-      uses: actions/cache@v4
+      uses: actions/cache@v5
       with:
         path: ${{ env.STORE_PATH }}
-        key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }}
+        key: ${{ runner.os }}-node22-python3.14-pnpm10-store-${{ hashFiles('**/pnpm-lock.yaml') }}
         restore-keys: |
-          ${{ runner.os }}-pnpm-store-
+          ${{ runner.os }}-node22-python3.14-pnpm10-store-
+          ${{ runner.os }}-node22-python3.14-
+          ${{ runner.os }}-
 
     - name: install frontend dependencies
-      run: pnpm install --prefer-frozen-lockfile
+      run: pnpm install --prefer-frozen-lockfile --ignore-scripts
       shell: bash
       working-directory: invokeai/frontend/web
diff --git a/.github/workflows/build-container.yml b/.github/workflows/build-container.yml
index 36bc8903b4b..b5bd8637acd 100644
--- a/.github/workflows/build-container.yml
+++ b/.github/workflows/build-container.yml
@@ -66,11 +66,11 @@ jobs:
           df -h
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Docker meta
         id: meta
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@v6
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           images: |
@@ -87,13 +87,13 @@ jobs:
             suffix=-${{ matrix.gpu-driver }},onlatest=false
 
       - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
+        uses: docker/setup-buildx-action@v4
         with:
           platforms: ${{ env.PLATFORMS }}
 
       - name: Login to GitHub Container Registry
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           registry: ghcr.io
           username: ${{ github.repository_owner }}
@@ -102,7 +102,7 @@ jobs:
       - name: Build container
         timeout-minutes: 40
         id: docker_build
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         with:
           context: .
           file: docker/Dockerfile
diff --git a/.github/workflows/build-wheel.yml b/.github/workflows/build-wheel.yml
index 611f39cf89c..6fc5b26377c 100644
--- a/.github/workflows/build-wheel.yml
+++ b/.github/workflows/build-wheel.yml
@@ -12,12 +12,12 @@ jobs:
     timeout-minutes: 5 # expected run time: <2 min
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: setup python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
-          python-version: '3.12'
+          python-version: '3.14'
           cache: pip
           cache-dependency-path: pyproject.toml
 
@@ -32,7 +32,7 @@ jobs:
         run: ./scripts/build_wheel.sh
 
       - name: upload python distribution artifact
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v7
         with:
           name: dist
           path: ${{ steps.build_wheel.outputs.DIST_PATH }}
diff --git a/.github/workflows/clean-caches.yml b/.github/workflows/clean-caches.yml
index e5acdeab1b9..73d742f3041 100644
--- a/.github/workflows/clean-caches.yml
+++ b/.github/workflows/clean-caches.yml
@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Check out code
-        uses: actions/checkout@v3
+        uses: actions/checkout@v6
 
       - name: Cleanup
         run: |
diff --git a/.github/workflows/close-inactive-issues.yml b/.github/workflows/close-inactive-issues.yml
index 5e961e2773a..40f75cebb88 100644
--- a/.github/workflows/close-inactive-issues.yml
+++ b/.github/workflows/close-inactive-issues.yml
@@ -14,7 +14,7 @@ jobs:
       issues: write
       pull-requests: write
     steps:
-      - uses: actions/stale@v8
+      - uses: actions/stale@v10
         with:
           days-before-issue-stale: ${{ env.DAYS_BEFORE_ISSUE_STALE }}
           days-before-issue-close: ${{ env.DAYS_BEFORE_ISSUE_CLOSE }}
diff --git a/.github/workflows/deploy-docs.yml b/.github/workflows/deploy-docs.yml
index 8c4a477fe9f..fc35c3a293a 100644
--- a/.github/workflows/deploy-docs.yml
+++ b/.github/workflows/deploy-docs.yml
@@ -70,34 +70,34 @@ jobs:
     timeout-minutes: 20
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       # Python (needed for generate-docs-data)
       - name: setup uv
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          version: '0.6.10'
+          version: '0.11.16'
           enable-cache: true
-          python-version: '3.11'
+          python-version: '3.14'
 
       - name: setup python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
-          python-version: '3.11'
+          python-version: '3.14'
 
       # generate_docs_json.py only needs the invokeai package importable
       # (pydantic + invokeai.app/backend). Skip the [test] extra to keep CI fast.
       - name: install python dependencies
-        run: uv pip install --editable .
+        run: uv sync --frozen
 
       # Node (needed for docs build)
       - name: setup node
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v6
         with:
           node-version: '22.12.0'
 
       - name: setup pnpm
-        uses: pnpm/action-setup@v4
+        uses: pnpm/action-setup@v6
         with:
           version: 10
           run_install: false
@@ -116,8 +116,7 @@ jobs:
         working-directory: docs
         env:
           DEPLOY_TARGET: ${{ github.event_name == 'workflow_dispatch' && inputs.deploy_target || 'custom' }}
-          ENABLE_ANALYTICS: ${{ github.ref == 'refs/heads/main' && (github.event_name != 'workflow_dispatch' ||              
- inputs.deploy_target == 'custom') }}
+          ENABLE_ANALYTICS: ${{ github.ref == 'refs/heads/main' && (github.event_name != 'workflow_dispatch' || inputs.deploy_target == 'custom') }}
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
       - name: verify deploy output
@@ -129,7 +128,7 @@ jobs:
       # Upload artifact for deploy (main branch only)
       - name: upload pages artifact
         if: github.ref == 'refs/heads/main'
-        uses: actions/upload-pages-artifact@v3
+        uses: actions/upload-pages-artifact@v5
         with:
           path: docs/dist
 
@@ -147,4 +146,4 @@ jobs:
     steps:
       - name: deploy to GitHub Pages
         id: deployment
-        uses: actions/deploy-pages@v4
+        uses: actions/deploy-pages@v5
diff --git a/.github/workflows/frontend-checks.yml b/.github/workflows/frontend-checks.yml
index df767676441..b36fbeb650b 100644
--- a/.github/workflows/frontend-checks.yml
+++ b/.github/workflows/frontend-checks.yml
@@ -39,7 +39,7 @@ jobs:
     runs-on: ubuntu-latest
     timeout-minutes: 10 # expected run time: <2 min
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
       - name: Fail if package-lock.json is added/modified (pnpm only)
         shell: bash
@@ -60,7 +60,7 @@ jobs:
         # - CVE-2025-30066
         # - https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised
         # - https://github.com/tj-actions/changed-files/issues/2463
-        uses: tj-actions/changed-files@a284dc1814e3fd07f2e34267fc8f81227ed29fb8
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96
         with:
           files_yaml: |
             frontend:
diff --git a/.github/workflows/frontend-tests.yml b/.github/workflows/frontend-tests.yml
index 17baef724fd..abb1fb8419f 100644
--- a/.github/workflows/frontend-tests.yml
+++ b/.github/workflows/frontend-tests.yml
@@ -39,7 +39,7 @@ jobs:
     runs-on: ubuntu-latest
     timeout-minutes: 10 # expected run time: <2 min
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
 
       - name: check for changed frontend files
         if: ${{ inputs.always_run != true }}
@@ -49,7 +49,7 @@ jobs:
         # - CVE-2025-30066
         # - https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised
         # - https://github.com/tj-actions/changed-files/issues/2463
-        uses: tj-actions/changed-files@a284dc1814e3fd07f2e34267fc8f81227ed29fb8
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96
         with:
           files_yaml: |
             frontend:
diff --git a/.github/workflows/label-pr.yml b/.github/workflows/label-pr.yml
index 1a98512190a..b7689b12021 100644
--- a/.github/workflows/label-pr.yml
+++ b/.github/workflows/label-pr.yml
@@ -10,9 +10,9 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: label PRs
-        uses: actions/labeler@v5
+        uses: actions/labeler@v6
         with:
           configuration-path: .github/pr_labels.yml
diff --git a/.github/workflows/lfs-checks.yml b/.github/workflows/lfs-checks.yml
index 597276d474b..a3b845025a8 100644
--- a/.github/workflows/lfs-checks.yml
+++ b/.github/workflows/lfs-checks.yml
@@ -24,7 +24,7 @@ jobs:
       pull-requests: write
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: check lfs files
         uses: ppremk/lfs-warning@v3.3
diff --git a/.github/workflows/openapi-checks.yml b/.github/workflows/openapi-checks.yml
index 768e3dcf97e..b51ffd7c5f2 100644
--- a/.github/workflows/openapi-checks.yml
+++ b/.github/workflows/openapi-checks.yml
@@ -74,13 +74,13 @@ jobs:
         with:
           version: '0.6.10'
           enable-cache: true
-          python-version: '3.11'
+          python-version: '3.14'
 
       - name: setup python
         if: ${{ steps.changed-files.outputs.src_any_changed == 'true' || inputs.always_run == true }}
         uses: actions/setup-python@v5
         with:
-          python-version: '3.11'
+          python-version: '3.14'
 
       - name: install dependencies
         if: ${{ steps.changed-files.outputs.src_any_changed == 'true' || inputs.always_run == true }}
@@ -99,7 +99,7 @@ jobs:
 
       - name: generate schema
         if: ${{ steps.changed-files.outputs.src_any_changed == 'true' || inputs.always_run == true }}
-        run: cd invokeai/frontend/web && uv run ../../../scripts/generate_openapi_schema.py > openapi.json && pnpm prettier --write openapi.json
+        run: cd invokeai/frontend/web && uv run ../../../scripts/generate_openapi_schema.py openapi.json && pnpm prettier --write openapi.json
         shell: bash
 
       - name: compare files
diff --git a/.github/workflows/python-checks.yml b/.github/workflows/python-checks.yml
index 39ff56eab8f..8200b82a45a 100644
--- a/.github/workflows/python-checks.yml
+++ b/.github/workflows/python-checks.yml
@@ -41,7 +41,7 @@ jobs:
     timeout-minutes: 5 # expected run time: <1 min
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: check for changed python files
         if: ${{ inputs.always_run != true }}
@@ -51,7 +51,7 @@ jobs:
         # - CVE-2025-30066
         # - https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised
         # - https://github.com/tj-actions/changed-files/issues/2463
-        uses: tj-actions/changed-files@a284dc1814e3fd07f2e34267fc8f81227ed29fb8
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96
         with:
           files_yaml: |
             python:
@@ -62,10 +62,11 @@ jobs:
 
       - name: setup uv
         if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }}
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          version: '0.6.10'
+          version: '0.11.16'
           enable-cache: true
+          python-version: '3.14'
 
       - name: check pypi classifiers
         if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }}
diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml
index 6d7e942e56e..a4b32934eac 100644
--- a/.github/workflows/python-tests.yml
+++ b/.github/workflows/python-tests.yml
@@ -39,8 +39,7 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - '3.11'
-          - '3.12'
+          - '3.14'
         platform:
           - linux-cpu
           - macos-default
@@ -76,7 +75,7 @@ jobs:
         # - CVE-2025-30066
         # - https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised
         # - https://github.com/tj-actions/changed-files/issues/2463
-        uses: tj-actions/changed-files@a284dc1814e3fd07f2e34267fc8f81227ed29fb8
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96
         with:
           files_yaml: |
             python:
@@ -87,15 +86,15 @@ jobs:
 
       - name: setup uv
         if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }}
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          version: '0.6.10'
+          version: '0.11.16'
           enable-cache: true
           python-version: ${{ matrix.python-version }}
 
       - name: setup python
         if: ${{ steps.changed-files.outputs.python_any_changed == 'true' || inputs.always_run == true }}
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: ${{ matrix.python-version }}
 
diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml
index 145d08f2f08..30e87b53dcb 100644
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -20,7 +20,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: check python version
         uses: samuelcolvin/check-python-version@v4
@@ -70,7 +70,7 @@ jobs:
       id-token: write
     steps:
       - name: download distribution from build job
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v8
         with:
           name: dist
           path: dist/
@@ -99,7 +99,7 @@ jobs:
       id-token: write
     steps:
       - name: download distribution from build job
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v8
         with:
           name: dist
           path: dist/
diff --git a/.github/workflows/typegen-checks.yml b/.github/workflows/typegen-checks.yml
index 28bcbf778ee..453c4452c12 100644
--- a/.github/workflows/typegen-checks.yml
+++ b/.github/workflows/typegen-checks.yml
@@ -37,7 +37,7 @@ jobs:
     timeout-minutes: 15 # expected run time: <5 min
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Free up more disk space on the runner
         # https://github.com/actions/runner-images/issues/2840#issuecomment-1284059930
@@ -61,7 +61,7 @@ jobs:
         # - CVE-2025-30066
         # - https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised
         # - https://github.com/tj-actions/changed-files/issues/2463
-        uses: tj-actions/changed-files@a284dc1814e3fd07f2e34267fc8f81227ed29fb8
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96
         with:
           files_yaml: |
             src:
@@ -70,17 +70,17 @@ jobs:
 
       - name: setup uv
         if: ${{ steps.changed-files.outputs.src_any_changed == 'true' || inputs.always_run == true }}
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          version: '0.6.10'
+          version: '0.11.16'
           enable-cache: true
-          python-version: '3.11'
+          python-version: '3.14'
 
       - name: setup python
         if: ${{ steps.changed-files.outputs.src_any_changed == 'true' || inputs.always_run == true }}
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
-          python-version: '3.11'
+          python-version: '3.14'
 
       - name: install dependencies
         if: ${{ steps.changed-files.outputs.src_any_changed == 'true' || inputs.always_run == true }}
diff --git a/.github/workflows/uv-lock-checks.yml b/.github/workflows/uv-lock-checks.yml
index fb70c47237c..35cd8c5375d 100644
--- a/.github/workflows/uv-lock-checks.yml
+++ b/.github/workflows/uv-lock-checks.yml
@@ -38,7 +38,7 @@ jobs:
     timeout-minutes: 5 # expected run time: <1 min
     steps:
       - name: checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: check for changed python files
         if: ${{ inputs.always_run != true }}
@@ -48,7 +48,7 @@ jobs:
         # - CVE-2025-30066
         # - https://www.stepsecurity.io/blog/harden-runner-detection-tj-actions-changed-files-action-is-compromised
         # - https://github.com/tj-actions/changed-files/issues/2463
-        uses: tj-actions/changed-files@a284dc1814e3fd07f2e34267fc8f81227ed29fb8
+        uses: tj-actions/changed-files@9426d40962ed5378910ee2e21d5f8c6fcbf2dd96
         with:
           files_yaml: |
             uvlock-pyprojecttoml:
@@ -57,12 +57,13 @@ jobs:
 
       - name: setup uv
         if: ${{ steps.changed-files.outputs.uvlock-pyprojecttoml_any_changed == 'true' || inputs.always_run == true }}
-        uses: astral-sh/setup-uv@v5
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          version: '0.6.10'
+          version: '0.11.16'
           enable-cache: true
+          python-version: '3.14'
 
       - name: check lockfile
         if: ${{ steps.changed-files.outputs.uvlock-pyprojecttoml_any_changed == 'true' || inputs.always_run == true }}
-        run: uv lock --locked # this will exit with 1 if the lockfile is not consistent with pyproject.toml
+        run: uv lock --locked
         shell: bash
diff --git a/invokeai/app/invocations/facetools.py b/invokeai/app/invocations/facetools.py
index 1092a67ce95..be6e643c14e 100644
--- a/invokeai/app/invocations/facetools.py
+++ b/invokeai/app/invocations/facetools.py
@@ -5,7 +5,6 @@
 
 import cv2
 import numpy as np
-from mediapipe.python.solutions.face_mesh import FaceMesh  # type: ignore[import]
 from PIL import Image, ImageDraw, ImageFilter, ImageFont, ImageOps
 from PIL.Image import Image as ImageType
 from pydantic import field_validator
@@ -20,6 +19,7 @@
 from invokeai.app.invocations.primitives import ImageOutput
 from invokeai.app.services.image_records.image_records_common import ImageCategory
 from invokeai.app.services.shared.invocation_context import InvocationContext
+from invokeai.backend.image_util.mediapipe_face.mediapipe_face_common import detect_face_landmarks
 
 
 @invocation_output("face_mask_output")
@@ -194,23 +194,15 @@ def generate_face_box_mask(
         # Convert RGBA to RGB by removing the alpha channel.
         np_image = np_image[:, :, :3]
 
-    # Create a FaceMesh object for face landmark detection and mesh generation.
-    face_mesh = FaceMesh(
-        max_num_faces=999,
-        min_detection_confidence=minimum_confidence,
-        min_tracking_confidence=minimum_confidence,
-    )
-
-    # Detect the face landmarks and mesh in the input image.
-    results = face_mesh.process(np_image)
+    results = detect_face_landmarks(np_image, max_faces=999, min_confidence=minimum_confidence)
 
     # Check if any face is detected.
-    if results.multi_face_landmarks:  # type: ignore # this are via protobuf and not typed
+    if results:
         # Search for the face_id in the detected faces.
-        for _face_id, face_landmarks in enumerate(results.multi_face_landmarks):  # type: ignore #this are via protobuf and not typed
+        for _face_id, face_landmarks in enumerate(results):
             # Get the bounding box of the face mesh.
-            x_coordinates = [landmark.x for landmark in face_landmarks.landmark]
-            y_coordinates = [landmark.y for landmark in face_landmarks.landmark]
+            x_coordinates = [landmark.x for landmark in face_landmarks]
+            y_coordinates = [landmark.y for landmark in face_landmarks]
             x_min, x_max = min(x_coordinates), max(x_coordinates)
             y_min, y_max = min(y_coordinates), max(y_coordinates)
 
@@ -219,14 +211,11 @@ def generate_face_box_mask(
             mesh_height = int((y_max - y_min) * np_image.shape[0])
 
             # Get the center of the face.
-            x_center = np.mean([landmark.x * np_image.shape[1] for landmark in face_landmarks.landmark])
-            y_center = np.mean([landmark.y * np_image.shape[0] for landmark in face_landmarks.landmark])
+            x_center = np.mean([landmark.x * np_image.shape[1] for landmark in face_landmarks])
+            y_center = np.mean([landmark.y * np_image.shape[0] for landmark in face_landmarks])
 
             face_landmark_points = np.array(
-                [
-                    [landmark.x * np_image.shape[1], landmark.y * np_image.shape[0]]
-                    for landmark in face_landmarks.landmark
-                ]
+                [[landmark.x * np_image.shape[1], landmark.y * np_image.shape[0]] for landmark in face_landmarks]
             )
 
             # Apply the scaling offsets to the face landmark points with a multiplier.
diff --git a/invokeai/backend/image_util/mediapipe_face/face_landmarker.task b/invokeai/backend/image_util/mediapipe_face/face_landmarker.task
new file mode 100644
index 00000000000..c50c845d113
Binary files /dev/null and b/invokeai/backend/image_util/mediapipe_face/face_landmarker.task differ
diff --git a/invokeai/backend/image_util/mediapipe_face/mediapipe_face_common.py b/invokeai/backend/image_util/mediapipe_face/mediapipe_face_common.py
index 4cf7a66cdc7..e15347ad235 100644
--- a/invokeai/backend/image_util/mediapipe_face/mediapipe_face_common.py
+++ b/invokeai/backend/image_util/mediapipe_face/mediapipe_face_common.py
@@ -1,18 +1,32 @@
-from typing import Mapping
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any, Mapping, Sequence, TypeAlias
 
+import cv2
 import mediapipe as mp
 import numpy
+import numpy.typing as npt
+from mediapipe.tasks import python as _mp_python  # type: ignore[import]
+from mediapipe.tasks.python import vision as _vision  # type: ignore[import]
+from mediapipe.tasks.python.components.containers.landmark import NormalizedLandmark  # type: ignore[import]
 
-mp_drawing = mp.solutions.drawing_utils
-mp_drawing_styles = mp.solutions.drawing_styles
-mp_face_detection = mp.solutions.face_detection  # Only for counting faces.
-mp_face_mesh = mp.solutions.face_mesh
-mp_face_connections = mp.solutions.face_mesh_connections.FACEMESH_TESSELATION
-mp_hand_connections = mp.solutions.hands_connections.HAND_CONNECTIONS
-mp_body_connections = mp.solutions.pose_connections.POSE_CONNECTIONS
+mp_python: Any = _mp_python
+vision: Any = _vision
 
-DrawingSpec = mp.solutions.drawing_styles.DrawingSpec
-PoseLandmark = mp.solutions.drawing_styles.PoseLandmark
+
+@dataclass(frozen=True)
+class DrawingSpec:
+    color: tuple[int, int, int]
+    thickness: int
+    circle_radius: int
+
+
+FaceLandmarks = Sequence[NormalizedLandmark]
+FaceConnection = tuple[int, int]
+ImageArray: TypeAlias = npt.NDArray[numpy.uint8]
+DrawingSpecMap: TypeAlias = Mapping[int, DrawingSpec] | DrawingSpec
+
+_FACE_LANDMARKER_MODEL_PATH = Path(__file__).with_name("face_landmarker.task")
 
 min_face_size_pixels: int = 64
 f_thick = 2
@@ -27,27 +41,100 @@
 head_draw = DrawingSpec(color=(10, 200, 10), thickness=f_thick, circle_radius=f_rad)
 
 # mp_face_mesh.FACEMESH_CONTOURS has all the items we care about.
-face_connection_spec = {}
-for edge in mp_face_mesh.FACEMESH_FACE_OVAL:
+face_connection_spec: dict[FaceConnection, DrawingSpec] = {}
+for connection in vision.FaceLandmarksConnections.FACE_LANDMARKS_FACE_OVAL:
+    edge = (connection.start, connection.end)
     face_connection_spec[edge] = head_draw
-for edge in mp_face_mesh.FACEMESH_LEFT_EYE:
+for connection in vision.FaceLandmarksConnections.FACE_LANDMARKS_LEFT_EYE:
+    edge = (connection.start, connection.end)
     face_connection_spec[edge] = left_eye_draw
-for edge in mp_face_mesh.FACEMESH_LEFT_EYEBROW:
+for connection in vision.FaceLandmarksConnections.FACE_LANDMARKS_LEFT_EYEBROW:
+    edge = (connection.start, connection.end)
     face_connection_spec[edge] = left_eyebrow_draw
-# for edge in mp_face_mesh.FACEMESH_LEFT_IRIS:
+# for edge in vision.FaceLandmarksConnections.FACE_LANDMARKS_LEFT_IRIS:
 #    face_connection_spec[edge] = left_iris_draw
-for edge in mp_face_mesh.FACEMESH_RIGHT_EYE:
+for connection in vision.FaceLandmarksConnections.FACE_LANDMARKS_RIGHT_EYE:
+    edge = (connection.start, connection.end)
     face_connection_spec[edge] = right_eye_draw
-for edge in mp_face_mesh.FACEMESH_RIGHT_EYEBROW:
+for connection in vision.FaceLandmarksConnections.FACE_LANDMARKS_RIGHT_EYEBROW:
+    edge = (connection.start, connection.end)
     face_connection_spec[edge] = right_eyebrow_draw
-# for edge in mp_face_mesh.FACEMESH_RIGHT_IRIS:
+# for edge in vision.FaceLandmarksConnections.FACE_LANDMARKS_RIGHT_IRIS:
 #    face_connection_spec[edge] = right_iris_draw
-for edge in mp_face_mesh.FACEMESH_LIPS:
+for connection in vision.FaceLandmarksConnections.FACE_LANDMARKS_LIPS:
+    edge = (connection.start, connection.end)
     face_connection_spec[edge] = mouth_draw
 iris_landmark_spec = {468: right_iris_draw, 473: left_iris_draw}
 
 
-def draw_pupils(image, landmark_list, drawing_spec, halfwidth: int = 2):
+def _get_face_landmarker_model_path() -> str:
+    if not _FACE_LANDMARKER_MODEL_PATH.exists():
+        raise FileNotFoundError(
+            f"Missing vendored MediaPipe model asset at {_FACE_LANDMARKER_MODEL_PATH}. "
+            "Reinstall the package or restore face_landmarker.task."
+        )
+    return str(_FACE_LANDMARKER_MODEL_PATH)
+
+
+def detect_face_landmarks(img_rgb: ImageArray, max_faces: int, min_confidence: float) -> list[FaceLandmarks]:
+    options = vision.FaceLandmarkerOptions(
+        base_options=mp_python.BaseOptions(model_asset_path=_get_face_landmarker_model_path()),
+        num_faces=max_faces,
+        min_face_detection_confidence=min_confidence,
+        min_face_presence_confidence=min_confidence,
+        min_tracking_confidence=min_confidence,
+    )
+
+    mp_image = mp.Image(image_format=mp.ImageFormat.SRGB, data=img_rgb)
+    with vision.FaceLandmarker.create_from_options(options) as landmarker:
+        results = landmarker.detect(mp_image)
+
+    return results.face_landmarks
+
+
+def _landmark_xy(landmark: NormalizedLandmark) -> tuple[float, float] | None:
+    if landmark.x is None or landmark.y is None:
+        return None
+
+    return landmark.x, landmark.y
+
+
+def _landmark_to_pixel(landmark: NormalizedLandmark, image_rows: int, image_cols: int) -> tuple[int, int] | None:
+    coords = _landmark_xy(landmark)
+    if coords is None:
+        return None
+
+    x_coord, y_coord = coords
+
+    if x_coord < 0 or x_coord > 1 or y_coord < 0 or y_coord > 1:
+        return None
+
+    image_x = min(int(x_coord * (image_cols - 1)), image_cols - 1)
+    image_y = min(int(y_coord * (image_rows - 1)), image_rows - 1)
+    return image_x, image_y
+
+
+def _draw_connections(image: ImageArray, landmark_list: FaceLandmarks, drawing_spec: Mapping[FaceConnection, DrawingSpec]) -> None:
+    if len(image.shape) != 3:
+        raise ValueError("Input image must be H,W,C.")
+
+    image_rows, image_cols, image_channels = image.shape
+    if image_channels != 3:
+        raise ValueError("Input image must contain three channel bgr data.")
+
+    for (start_idx, end_idx), spec in drawing_spec.items():
+        if start_idx >= len(landmark_list) or end_idx >= len(landmark_list):
+            continue
+
+        start_point = _landmark_to_pixel(landmark_list[start_idx], image_rows, image_cols)
+        end_point = _landmark_to_pixel(landmark_list[end_idx], image_rows, image_cols)
+        if start_point is None or end_point is None:
+            continue
+
+        cv2.line(image, start_point, end_point, spec.color, spec.thickness)
+
+
+def draw_pupils(image: ImageArray, landmark_list: FaceLandmarks, drawing_spec: DrawingSpecMap, halfwidth: int = 2) -> None:
     """We have a custom function to draw the pupils because the mp.draw_landmarks method requires a parameter for all
     landmarks.  Until our PR is merged into mediapipe, we need this separate method."""
     if len(image.shape) != 3:
@@ -55,95 +142,95 @@ def draw_pupils(image, landmark_list, drawing_spec, halfwidth: int = 2):
     image_rows, image_cols, image_channels = image.shape
     if image_channels != 3:  # BGR channels
         raise ValueError("Input image must contain three channel bgr data.")
-    for idx, landmark in enumerate(landmark_list.landmark):
-        if (landmark.HasField("visibility") and landmark.visibility < 0.9) or (
-            landmark.HasField("presence") and landmark.presence < 0.5
+    for idx, landmark in enumerate(landmark_list):
+        if (landmark.visibility is not None and landmark.visibility < 0.9) or (
+            landmark.presence is not None and landmark.presence < 0.5
         ):
             continue
-        if landmark.x >= 1.0 or landmark.x < 0 or landmark.y >= 1.0 or landmark.y < 0:
+        point = _landmark_to_pixel(landmark, image_rows, image_cols)
+        if point is None:
             continue
-        image_x = int(image_cols * landmark.x)
-        image_y = int(image_rows * landmark.y)
+
+        image_x, image_y = point
         draw_color = None
         if isinstance(drawing_spec, Mapping):
             if drawing_spec.get(idx) is None:
                 continue
-            else:
-                draw_color = drawing_spec[idx].color
-        elif isinstance(drawing_spec, DrawingSpec):
+            draw_color = drawing_spec[idx].color
+        else:
             draw_color = drawing_spec.color
-        image[image_y - halfwidth : image_y + halfwidth, image_x - halfwidth : image_x + halfwidth, :] = draw_color
+
+        y_min = max(image_y - halfwidth, 0)
+        y_max = min(image_y + halfwidth, image_rows)
+        x_min = max(image_x - halfwidth, 0)
+        x_max = min(image_x + halfwidth, image_cols)
+        image[y_min:y_max, x_min:x_max, :] = draw_color
 
 
-def reverse_channels(image):
+def reverse_channels(image: ImageArray) -> ImageArray:
     """Given a numpy array in RGB form, convert to BGR.  Will also convert from BGR to RGB."""
     # im[:,:,::-1] is a neat hack to convert BGR to RGB by reversing the indexing order.
     # im[:,:,::[2,1,0]] would also work but makes a copy of the data.
     return image[:, :, ::-1]
 
 
-def generate_annotation(img_rgb, max_faces: int, min_confidence: float):
+def generate_annotation(img_rgb: ImageArray, max_faces: int, min_confidence: float) -> ImageArray:
     """
     Find up to 'max_faces' inside the provided input image.
     If min_face_size_pixels is provided and nonzero it will be used to filter faces that occupy less than this many
     pixels in the image.
     """
-    with mp_face_mesh.FaceMesh(
-        static_image_mode=True,
-        max_num_faces=max_faces,
-        refine_landmarks=True,
-        min_detection_confidence=min_confidence,
-    ) as facemesh:
-        img_height, img_width, img_channels = img_rgb.shape
-        assert img_channels == 3
-
-        results = facemesh.process(img_rgb).multi_face_landmarks
-
-        if results is None:
-            print("No faces detected in controlnet image for Mediapipe face annotator.")
-            return numpy.zeros_like(img_rgb)
-
-        # Filter faces that are too small
-        filtered_landmarks = []
-        for lm in results:
-            landmarks = lm.landmark
-            face_rect = [
-                landmarks[0].x,
-                landmarks[0].y,
-                landmarks[0].x,
-                landmarks[0].y,
-            ]  # Left, up, right, down.
-            for i in range(len(landmarks)):
-                face_rect[0] = min(face_rect[0], landmarks[i].x)
-                face_rect[1] = min(face_rect[1], landmarks[i].y)
-                face_rect[2] = max(face_rect[2], landmarks[i].x)
-                face_rect[3] = max(face_rect[3], landmarks[i].y)
-            if min_face_size_pixels > 0:
-                face_width = abs(face_rect[2] - face_rect[0])
-                face_height = abs(face_rect[3] - face_rect[1])
-                face_width_pixels = face_width * img_width
-                face_height_pixels = face_height * img_height
-                face_size = min(face_width_pixels, face_height_pixels)
-                if face_size >= min_face_size_pixels:
-                    filtered_landmarks.append(lm)
-            else:
-                filtered_landmarks.append(lm)
-
-        # Annotations are drawn in BGR for some reason, but we don't need to flip a zero-filled image at the start.
-        empty = numpy.zeros_like(img_rgb)
-
-        # Draw detected faces:
-        for face_landmarks in filtered_landmarks:
-            mp_drawing.draw_landmarks(
-                empty,
-                face_landmarks,
-                connections=face_connection_spec.keys(),
-                landmark_drawing_spec=None,
-                connection_drawing_spec=face_connection_spec,
-            )
-            draw_pupils(empty, face_landmarks, iris_landmark_spec, 2)
-
-        # Flip BGR back to RGB.
-        empty = reverse_channels(empty).copy()
-
-        return empty
+    img_height, img_width, img_channels = img_rgb.shape
+    assert img_channels == 3
+
+    results = detect_face_landmarks(img_rgb, max_faces=max_faces, min_confidence=min_confidence)
+
+    if len(results) == 0:
+        print("No faces detected in controlnet image for Mediapipe face annotator.")
+        return numpy.zeros_like(img_rgb)
+
+    # Filter faces that are too small
+    filtered_landmarks: list[FaceLandmarks] = []
+    for landmarks in results:
+        first_coords = _landmark_xy(landmarks[0])
+        if first_coords is None:
+            continue
+
+        face_rect = [
+            first_coords[0],
+            first_coords[1],
+            first_coords[0],
+            first_coords[1],
+        ]  # Left, up, right, down.
+        for landmark in landmarks:
+            coords = _landmark_xy(landmark)
+            if coords is None:
+                continue
+
+            face_rect[0] = min(face_rect[0], coords[0])
+            face_rect[1] = min(face_rect[1], coords[1])
+            face_rect[2] = max(face_rect[2], coords[0])
+            face_rect[3] = max(face_rect[3], coords[1])
+        if min_face_size_pixels > 0:
+            face_width = abs(face_rect[2] - face_rect[0])
+            face_height = abs(face_rect[3] - face_rect[1])
+            face_width_pixels = face_width * img_width
+            face_height_pixels = face_height * img_height
+            face_size = min(face_width_pixels, face_height_pixels)
+            if face_size >= min_face_size_pixels:
+                filtered_landmarks.append(landmarks)
+        else:
+            filtered_landmarks.append(landmarks)
+
+    # Annotations are drawn in BGR for some reason, but we don't need to flip a zero-filled image at the start.
+    empty = numpy.zeros_like(img_rgb)
+
+    # Draw detected faces:
+    for face_landmarks in filtered_landmarks:
+        _draw_connections(empty, face_landmarks, face_connection_spec)
+        draw_pupils(empty, face_landmarks, iris_landmark_spec, 2)
+
+    # Flip BGR back to RGB.
+    empty = reverse_channels(empty).copy()
+
+    return empty
diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts
index a80183476bd..5543dbc2f7b 100644
--- a/invokeai/frontend/web/src/services/api/schema.ts
+++ b/invokeai/frontend/web/src/services/api/schema.ts
@@ -5145,7 +5145,10 @@ export type components = {
              */
             type: "infill_cv2";
         };
-        /** CacheStats */
+        /**
+         * CacheStats
+         * @description Collect statistics on cache performance.
+         */
         CacheStats: {
             /**
              * Hits
diff --git a/pyproject.toml b/pyproject.toml
index 57e741405ff..4dab00586fd 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "InvokeAI"
 description = "A full-featured AI-assisted image generation environment designed for creatives and enthusiasts."
-requires-python = ">=3.11, <3.13"
+requires-python = ">=3.14, <=3.14.5"
 readme = { content-type = "text/markdown", file = "README.md" }
 keywords = ["stable-diffusion", "AI"]
 dynamic = ["version"]
@@ -23,7 +23,7 @@ classifiers = [
   'Operating System :: MacOS',
   'Operating System :: Microsoft :: Windows',
   'Programming Language :: Python :: 3 :: Only',
-  'Programming Language :: Python :: 3.12',
+  'Programming Language :: Python :: 3.14',
   'Topic :: Artistic Software',
   'Topic :: Internet :: WWW/HTTP :: WSGI :: Application',
   'Topic :: Internet :: WWW/HTTP :: WSGI :: Server',
@@ -34,22 +34,22 @@ classifiers = [
 dependencies = [
   # Core generation dependencies, pinned for reproducible builds.
   "accelerate",
-  "bitsandbytes; sys_platform!='darwin'",
+  "bitsandbytes>=0.48.0; sys_platform!='darwin'", # CUDA 130 supported as of 0.48.0 feb-2026, CUDA 131/132 slated for "future release"
   "compel==2.1.1",
   "diffusers[torch]==0.37.0",
   "gguf",
-  "mediapipe==0.10.14",                   # needed for "mediapipeface" controlnet model
-  "numpy<2.0.0",
-  "onnx==1.16.1",
-  "onnxruntime==1.19.2",
+  "mediapipe==0.10.35",                   # needed for "mediapipeface" controlnet model
+  "numpy<=2.4.6",                         # TODO: figure out why numpy<2.0.0 was pinned?
+  "onnx==1.21.0",
+  "onnxruntime==1.26.0",                  # 1.27.0 will drop support for CUDA 12
   "opencv-contrib-python",
   "safetensors",
-  "sentencepiece==0.2.0",                 # 0.2.1 coredumps windows when loading t5 tokenizer
+  "sentencepiece==0.2.1",                 # 0.2.1 coredumps windows when loading t5 tokenizer
   "spandrel",
-  "torch~=2.7.0",                         # torch and related dependencies are loosely pinned, will respect requirement of `diffusers[torch]`
+  "torch~=2.12.0",                         # torch and related dependencies are loosely pinned, will respect requirement of `diffusers[torch]`
   "torchsde",                             # diffusers needs this for SDE solvers, but it is not an explicit dep of diffusers
   "torchvision",
-  "transformers>=4.56.0",
+  "transformers>=4.56.0",                 # Waiting on compel 2.2 to upgrade to 5.8.1
 
   # Core application dependencies, pinned for reproducible builds.
   "fastapi-events",
@@ -90,12 +90,12 @@ dependencies = [
   # torch 2.4+cu carries its own triton dependency
 ]
 
-"cpu" = ["torch==2.7.1+cpu", "torchvision==0.22.1+cpu"]
-"cuda" = ["torch==2.7.1+cu128", "torchvision==0.22.1+cu128"]
+"cpu" = ["torch==2.12.0+cpu", "torchvision==0.27.0+cpu"]
+"cuda" = ["torch==2.12.0+cu130", "torchvision==0.27.0+cu130"]
 "rocm" = [
-  "torch==2.7.1+rocm6.3",
-  "torchvision==0.22.1+rocm6.3",
-  "pytorch-triton-rocm",
+  "torch==2.12.0+rocm7.2; sys_platform == 'linux'",
+  "torchvision==0.27.0+rocm7.2; sys_platform == 'linux'",
+  "triton-rocm; sys_platform == 'linux'",
 ]
 
 "onnx" = ["onnxruntime"]
@@ -136,7 +136,7 @@ torchvision = [
   { index = "torch-cuda", extra = "cuda" },
   { index = "torch-rocm", extra = "rocm" },
 ]
-pytorch-triton-rocm = [
+triton-rocm = [
   { index = "torch-rocm", extra = "rocm", marker = "sys_platform == 'linux'" },
 ]
 
@@ -147,12 +147,12 @@ explicit = true
 
 [[tool.uv.index]]
 name = "torch-cuda"
-url = "https://download.pytorch.org/whl/cu128"
+url = "https://download.pytorch.org/whl/cu130"
 explicit = true
 
 [[tool.uv.index]]
 name = "torch-rocm"
-url = "https://download.pytorch.org/whl/rocm6.3"
+url = "https://download.pytorch.org/whl/rocm7.2"
 explicit = true
 
 [project.scripts]
@@ -195,7 +195,7 @@ version = { attr = "invokeai.version.__version__" }
   "*.png",
 ]
 "invokeai.assets.fonts" = ["**/*.ttf"]
-"invokeai.backend" = ["**.png", "**/*.icc"]
+"invokeai.backend" = ["**.png", "**/*.icc", "**/*.task"]
 "invokeai.configs" = ["*.example", "**/*.yaml", "*.txt"]
 "invokeai.frontend.web.dist" = ["**"]
 "invokeai.frontend.web.static" = ["**"]
diff --git a/scripts/generate_openapi_schema.py b/scripts/generate_openapi_schema.py
index 70baa194dc1..80a27ce537e 100644
--- a/scripts/generate_openapi_schema.py
+++ b/scripts/generate_openapi_schema.py
@@ -1,17 +1,27 @@
 import json
 import os
 import sys
+from pathlib import Path
 
 
 def main():
     # Change working directory to the repo root
-    os.chdir(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+    repo_root = Path(__file__).resolve().parent.parent
+    os.chdir(repo_root)
 
     from invokeai.app.api_app import app
     from invokeai.app.util.custom_openapi import get_openapi_func
 
     schema = get_openapi_func(app)()
-    json.dump(schema, sys.stdout, indent=2)
+
+    if len(sys.argv) > 1:
+        output_path = Path(sys.argv[1])
+        with output_path.open("w", encoding="utf-8") as f:
+            json.dump(schema, f, indent=2)
+            f.write("\n")
+    else:
+        json.dump(schema, sys.stdout, indent=2)
+        sys.stdout.write("\n")
 
 
 if __name__ == "__main__":
diff --git a/uv.lock b/uv.lock
index f404527fe8f..16fd404deda 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,46 +1,9 @@
 version = 1
 revision = 3
-requires-python = ">=3.11, <3.13"
+requires-python = ">=3.14, <=3.14.5"
 resolution-markers = [
-    "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_full_version >= '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_full_version < '3.12' and platform_machine != 'aarch64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_version < '0'",
-    "python_version < '0'",
-    "python_full_version >= '3.12' and sys_platform == 'darwin' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_full_version >= '3.12' and sys_platform != 'darwin' and sys_platform != 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_full_version < '3.12' and sys_platform == 'darwin' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_full_version < '3.12' and sys_platform != 'darwin' and sys_platform != 'linux' and extra != 'extra-8-invokeai-cpu' and extra != 'extra-8-invokeai-cuda' and extra == 'extra-8-invokeai-rocm'",
-    "python_version < '0'",
-    "python_version < '0'",
-    "python_full_version >= '3.12' and sys_platform == 'darwin' and extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm'",
-    "python_full_version >= '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux' and extra != 'extra-8-invokeai-cpu' and extra == 'extra-8-invokeai-cuda' and extra != 'extra-8-invokeai-rocm'",
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