feat(api): add metadata to upload route

Canvas images are saved by uploading a blob generated from the HTML canvas element. This means the existing metadata handling, inside the graph execution engine, is not available.

To save metadata to canvas images, we need to provide it when uploading that blob.

The upload route now has a `metadata` body param. If this is provided, we use it over any metadata embedded in the image.

invokeai/app/api/routers/images.py

@@ -6,7 +6,7 @@ from fastapi import BackgroundTasks, Body, HTTPException, Path, Query, Request,
 from fastapi.responses import FileResponse
 from fastapi.routing import APIRouter
 from PIL import Image
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, JsonValue
 
 from invokeai.app.invocations.fields import MetadataField
 from invokeai.app.services.image_records.image_records_common import ImageCategory, ImageRecordChanges, ResourceOrigin
@@ -41,14 +41,17 @@ async def upload_image(
     board_id: Optional[str] = Query(default=None, description="The board to add this image to, if any"),
     session_id: Optional[str] = Query(default=None, description="The session ID associated with this upload, if any"),
     crop_visible: Optional[bool] = Query(default=False, description="Whether to crop the image"),
+    metadata: Optional[JsonValue] = Body(
+        default=None, description="The metadata to associate with the image", embed=True
+    ),
 ) -> ImageDTO:
     """Uploads an image"""
     if not file.content_type or not file.content_type.startswith("image"):
         raise HTTPException(status_code=415, detail="Not an image")
 
-    metadata = None
-    workflow = None
-    graph = None
+    _metadata = None
+    _workflow = None
+    _graph = None
 
     contents = await file.read()
     try:
@@ -62,9 +65,9 @@ async def upload_image(
 
     # TODO: retain non-invokeai metadata on upload?
     # attempt to parse metadata from image
-    metadata_raw = pil_image.info.get("invokeai_metadata", None)
+    metadata_raw = metadata if isinstance(metadata, str) else pil_image.info.get("invokeai_metadata", None)
     if isinstance(metadata_raw, str):
-        metadata = metadata_raw
+        _metadata = metadata_raw
     else:
         ApiDependencies.invoker.services.logger.warn("Failed to parse metadata for uploaded image")
         pass
@@ -72,7 +75,7 @@ async def upload_image(
     # attempt to parse workflow from image
     workflow_raw = pil_image.info.get("invokeai_workflow", None)
     if isinstance(workflow_raw, str):
-        workflow = workflow_raw
+        _workflow = workflow_raw
     else:
         ApiDependencies.invoker.services.logger.warn("Failed to parse workflow for uploaded image")
         pass
@@ -80,7 +83,7 @@ async def upload_image(
     # attempt to extract graph from image
     graph_raw = pil_image.info.get("invokeai_graph", None)
     if isinstance(graph_raw, str):
-        graph = graph_raw
+        _graph = graph_raw
     else:
         ApiDependencies.invoker.services.logger.warn("Failed to parse graph for uploaded image")
         pass
@@ -92,9 +95,9 @@ async def upload_image(
             image_category=image_category,
             session_id=session_id,
             board_id=board_id,
-            metadata=metadata,
-            workflow=workflow,
-            graph=graph,
+            metadata=_metadata,
+            workflow=_workflow,
+            graph=_graph,
             is_intermediate=is_intermediate,
         )