feat(nodes): refactor parameter/primitive nodes

Refine concept of "parameter" nodes to "primitives":
- integer
- float
- string
- boolean
- image
- latents
- conditioning
- color

Each primitive has:
- A field definition, if it is not already python primitive value. The field is how this primitive value is passed between nodes. Collections are lists of the field in node definitions. ex: `ImageField` & `list[ImageField]`
- A single output class. ex: `ImageOutput`
- A collection output class. ex: `ImageCollectionOutput`
- A node, which functions to load or pass on the primitive value. ex: `ImageInvocation` (in this case, `ImageInvocation` replaces `LoadImage`)

Plus a number of related changes:
- Reorganize these into `primitives.py`
- Update all nodes and logic to use primitives
- Consolidate "prompt" outputs into "string" & "mask" into "image" (there's no reason for these to be different, the function identically)
- Update default graphs & tests
- Regen frontend types & minor frontend tidy related to changes

invokeai/app/invocations/param_easing.py

@@ -42,9 +42,10 @@ from matplotlib.figure import Figure
 from matplotlib.ticker import MaxNLocator
 from pydantic import BaseModel, Field
 
+from invokeai.app.invocations.primitives import FloatCollectionOutput
+
 from ...backend.util.logging import InvokeAILogger
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, tags, title
-from .collections import FloatCollectionOutput
 
 
 @title("Float Range")