Merge branch 'main' into textfontimage

Author: mickr777

docs/nodes/communityNodes.md

@@ -22,12 +22,26 @@ To use a community node graph, download the the `.json` node graph file and load
 ![b920b710-1882-49a0-8d02-82dff2cca907](https://github.com/invoke-ai/InvokeAI/assets/25252829/7660c1ed-bf7d-4d0a-947f-1fc1679557ba)
 ![71a91805-fda5-481c-b380-264665703133](https://github.com/invoke-ai/InvokeAI/assets/25252829/f8f6a2ee-2b68-4482-87da-b90221d5c3e2)
 
+--------------------------------
 ### Ideal Size
 
 **Description:** This node calculates an ideal image size for a first pass of a multi-pass upscaling. The aim is to avoid duplication that results from choosing a size larger than the model is capable of.
 
 **Node Link:** https://github.com/JPPhoto/ideal-size-node
 
+--------------------------------
+### Film Grain
+
+**Description:** This node adds a film grain effect to the input image based on the weights, seeds, and blur radii parameters. It works with RGB input images only.
+
+**Node Link:** https://github.com/JPPhoto/film-grain-node
+
+--------------------------------
+### Image Picker
+
+**Description:** This InvokeAI node takes in a collection of images and randomly chooses one. This can be useful when you have a number of poses to choose from for a ControlNet node, or a number of input images for another purpose.
+
+**Node Link:** https://github.com/JPPhoto/film-grain-node
 
 --------------------------------
 ### Retroize

invokeai/app/invocations/baseinvocation.py

@@ -580,8 +580,9 @@ def wrapper(cls: Type[GenericBaseInvocation]) -> Type[GenericBaseInvocation]:
             config=cls.__config__,
         )
         cls.__fields__.update({"type": invocation_type_field})
-        cls.__annotations__.update({"type": invocation_type_annotation})
-
+        # to support 3.9, 3.10 and 3.11, as described in https://docs.python.org/3/howto/annotations.html
+        if annotations := cls.__dict__.get("__annotations__", None):
+            annotations.update({"type": invocation_type_annotation})
         return cls
 
     return wrapper
@@ -615,7 +616,10 @@ def wrapper(cls: Type[GenericBaseInvocationOutput]) -> Type[GenericBaseInvocatio
             config=cls.__config__,
         )
         cls.__fields__.update({"type": output_type_field})
-        cls.__annotations__.update({"type": output_type_annotation})
+
+        # to support 3.9, 3.10 and 3.11, as described in https://docs.python.org/3/howto/annotations.html
+        if annotations := cls.__dict__.get("__annotations__", None):
+            annotations.update({"type": output_type_annotation})
 
         return cls