[DO NOT MERGE] Label Testing PR

.github/pr_labels.yml

@@ -0,0 +1,40 @@
+Root:
+- changed-files:
+  - any-glob-to-any-file: '*'
+
+PythonDeps:
+- changed-files:
+  - any-glob-to-any-file: 'pyproject.toml'
+
+Python:
+- changed-files:
+  - any-glob-to-any-file: 
+    - 'invokeai/**'
+    - '!invokeai/frontend/web/**'
+    - 'tests/**'
+
+Invocations:
+- changed-files:
+  - any-glob-to-any-file: 'invokeai/app/invocations/**'
+
+Backend:
+- changed-files:
+  - any-glob-to-any-file: 'invokeai/backend/**'
+
+Api:
+- changed-files:
+  - any-glob-to-any-file: 'invokeai/app/api/**'
+
+Services:
+- changed-files:
+  - any-glob-to-any-file: 'invokeai/app/services/**'
+
+FrontendDeps:
+- changed-files:
+  - any-glob-to-any-file:
+    - '**/*/package.json'
+    - '**/*/pnpm-lock.yaml'
+
+Frontend:
+- changed-files:
+  - any-glob-to-any-file: 'invokeai/frontend/web/**'

.github/workflows/label-pr.yml

@@ -0,0 +1,16 @@
+name: "Pull Request Labeler"
+on:
+- pull_request_target
+
+jobs:
+  labeler:
+    permissions:
+      contents: read
+      pull-requests: write
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - uses: actions/labeler@v5
+        with:
+          configuration-path: .github/pr_labels.yml

invokeai/app/api/routers/download_queue.py

@@ -24,6 +24,7 @@ download_queue_router = APIRouter(prefix="/v1/download_queue", tags=["download_q
 )
 async def list_downloads() -> List[DownloadJob]:
     """Get a list of active and inactive jobs."""
+    print("test")
     queue = ApiDependencies.invoker.services.download_queue
     return queue.list_jobs()
 

invokeai/app/invocations/latent.py

@@ -75,6 +75,8 @@ from .model import ModelInfo, UNetField, VaeField
 if choose_torch_device() == torch.device("mps"):
     from torch import mps
 
+print("test")
+
 DEFAULT_PRECISION = choose_precision(choose_torch_device())
 
 SAMPLER_NAME_VALUES = Literal[tuple(SCHEDULER_MAP.keys())]

invokeai/app/services/invocation_processor/invocation_processor_default.py

@@ -23,6 +23,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
         self.__threadLimit = BoundedSemaphore(1)
         self.__invoker = invoker
         self.__stop_event = Event()
+        print("test")
         self.__invoker_thread = Thread(
             name="invoker_processor",
             target=self.__process,

invokeai/backend/model_management/lora.py

@@ -113,7 +113,7 @@ class ModelPatcher:
                     for layer_key, layer in lora.layers.items():
                         if not layer_key.startswith(prefix):
                             continue
-
+                        print("test")
                         # TODO(ryand): A non-negligible amount of time is currently spent resolving LoRA keys. This
                         # should be improved in the following ways:
                         # 1. The key mapping could be more-efficiently pre-computed. This would save time every time a

invokeai/frontend/web/package.json

@@ -20,6 +20,7 @@
   ],
   "scripts": {
     "dev": "concurrently \"vite dev\" \"pnpm run theme:watch\"",
+    "hi": "echo test",
     "dev:host": "concurrently \"vite dev --host\" \"pnpm run theme:watch\"",
     "build": "pnpm run lint && vite build",
     "typegen": "node scripts/typegen.js",

invokeai/frontend/web/src/features/controlAdapters/hooks/useAddControlAdapter.ts

@@ -16,7 +16,7 @@ export const useAddControlAdapter = (type: ControlAdapterType) => {
     const firstCompatibleModel = models.filter((m) =>
       baseModel ? m.base_model === baseModel : true
     )[0];
-
+    console.log("test")
     if (firstCompatibleModel) {
       return firstCompatibleModel;
     }

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "InvokeAI"
-description = "An implementation of Stable Diffusion which provides various new features and options to aid the image generation process"
+description = "An test implementation of Stable Diffusion which provides various new features and options to aid the image generation process"
 requires-python = ">=3.10, <3.12"
 readme = { content-type = "text/markdown", file = "README.md" }
 keywords = ["stable-diffusion", "AI"]