diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 3396778f5f..d57de57a37 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -96,7 +96,7 @@ class ControlOutput(BaseInvocationOutput):
     control: ControlField = OutputField(description=FieldDescriptions.control)
 
 
-@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.0.0")
+@invocation("controlnet", title="ControlNet", tags=["controlnet"], category="controlnet", version="1.1.0")
 class ControlNetInvocation(BaseInvocation):
     """Collects ControlNet info to pass to other nodes"""
 
@@ -173,7 +173,7 @@ class ImageProcessorInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     title="Canny Processor",
     tags=["controlnet", "canny"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class CannyImageProcessorInvocation(ImageProcessorInvocation):
     """Canny edge detection for ControlNet"""
@@ -196,7 +196,7 @@ class CannyImageProcessorInvocation(ImageProcessorInvocation):
     title="HED (softedge) Processor",
     tags=["controlnet", "hed", "softedge"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class HedImageProcessorInvocation(ImageProcessorInvocation):
     """Applies HED edge detection to image"""
@@ -225,7 +225,7 @@ class HedImageProcessorInvocation(ImageProcessorInvocation):
     title="Lineart Processor",
     tags=["controlnet", "lineart"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class LineartImageProcessorInvocation(ImageProcessorInvocation):
     """Applies line art processing to image"""
@@ -247,7 +247,7 @@ class LineartImageProcessorInvocation(ImageProcessorInvocation):
     title="Lineart Anime Processor",
     tags=["controlnet", "lineart", "anime"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation):
     """Applies line art anime processing to image"""
@@ -270,7 +270,7 @@ class LineartAnimeImageProcessorInvocation(ImageProcessorInvocation):
     title="Openpose Processor",
     tags=["controlnet", "openpose", "pose"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class OpenposeImageProcessorInvocation(ImageProcessorInvocation):
     """Applies Openpose processing to image"""
@@ -295,7 +295,7 @@ class OpenposeImageProcessorInvocation(ImageProcessorInvocation):
     title="Midas Depth Processor",
     tags=["controlnet", "midas"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class MidasDepthImageProcessorInvocation(ImageProcessorInvocation):
     """Applies Midas depth processing to image"""
@@ -322,7 +322,7 @@ class MidasDepthImageProcessorInvocation(ImageProcessorInvocation):
     title="Normal BAE Processor",
     tags=["controlnet"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class NormalbaeImageProcessorInvocation(ImageProcessorInvocation):
     """Applies NormalBae processing to image"""
@@ -339,7 +339,7 @@ class NormalbaeImageProcessorInvocation(ImageProcessorInvocation):
 
 
 @invocation(
-    "mlsd_image_processor", title="MLSD Processor", tags=["controlnet", "mlsd"], category="controlnet", version="1.0.0"
+    "mlsd_image_processor", title="MLSD Processor", tags=["controlnet", "mlsd"], category="controlnet", version="1.1.0"
 )
 class MlsdImageProcessorInvocation(ImageProcessorInvocation):
     """Applies MLSD processing to image"""
@@ -362,7 +362,7 @@ class MlsdImageProcessorInvocation(ImageProcessorInvocation):
 
 
 @invocation(
-    "pidi_image_processor", title="PIDI Processor", tags=["controlnet", "pidi"], category="controlnet", version="1.0.0"
+    "pidi_image_processor", title="PIDI Processor", tags=["controlnet", "pidi"], category="controlnet", version="1.1.0"
 )
 class PidiImageProcessorInvocation(ImageProcessorInvocation):
     """Applies PIDI processing to image"""
@@ -389,7 +389,7 @@ class PidiImageProcessorInvocation(ImageProcessorInvocation):
     title="Content Shuffle Processor",
     tags=["controlnet", "contentshuffle"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation):
     """Applies content shuffle processing to image"""
@@ -419,7 +419,7 @@ class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation):
     title="Zoe (Depth) Processor",
     tags=["controlnet", "zoe", "depth"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation):
     """Applies Zoe depth processing to image"""
@@ -435,7 +435,7 @@ class ZoeDepthImageProcessorInvocation(ImageProcessorInvocation):
     title="Mediapipe Face Processor",
     tags=["controlnet", "mediapipe", "face"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class MediapipeFaceProcessorInvocation(ImageProcessorInvocation):
     """Applies mediapipe face processing to image"""
@@ -458,7 +458,7 @@ class MediapipeFaceProcessorInvocation(ImageProcessorInvocation):
     title="Leres (Depth) Processor",
     tags=["controlnet", "leres", "depth"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class LeresImageProcessorInvocation(ImageProcessorInvocation):
     """Applies leres processing to image"""
@@ -487,7 +487,7 @@ class LeresImageProcessorInvocation(ImageProcessorInvocation):
     title="Tile Resample Processor",
     tags=["controlnet", "tile"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class TileResamplerProcessorInvocation(ImageProcessorInvocation):
     """Tile resampler processor"""
@@ -527,7 +527,7 @@ class TileResamplerProcessorInvocation(ImageProcessorInvocation):
     title="Segment Anything Processor",
     tags=["controlnet", "segmentanything"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class SegmentAnythingProcessorInvocation(ImageProcessorInvocation):
     """Applies segment anything processing to image"""
@@ -569,7 +569,7 @@ class SamDetectorReproducibleColors(SamDetector):
     title="Color Map Processor",
     tags=["controlnet"],
     category="controlnet",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ColorMapImageProcessorInvocation(ImageProcessorInvocation):
     """Generates a color map from the provided image"""
diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py
index e5cfd327c1..b9764285f5 100644
--- a/invokeai/app/invocations/cv.py
+++ b/invokeai/app/invocations/cv.py
@@ -11,7 +11,7 @@ from invokeai.app.services.image_records.image_records_common import ImageCatego
 from .baseinvocation import BaseInvocation, InputField, InvocationContext, WithMetadata, WithWorkflow, invocation
 
 
-@invocation("cv_inpaint", title="OpenCV Inpaint", tags=["opencv", "inpaint"], category="inpaint", version="1.0.0")
+@invocation("cv_inpaint", title="OpenCV Inpaint", tags=["opencv", "inpaint"], category="inpaint", version="1.1.0")
 class CvInpaintInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Simple inpaint using opencv."""
 
diff --git a/invokeai/app/invocations/facetools.py b/invokeai/app/invocations/facetools.py
index 41d1ef1e4b..ef3d0aa9a1 100644
--- a/invokeai/app/invocations/facetools.py
+++ b/invokeai/app/invocations/facetools.py
@@ -438,7 +438,7 @@ def get_faces_list(
     return all_faces
 
 
-@invocation("face_off", title="FaceOff", tags=["image", "faceoff", "face", "mask"], category="image", version="1.0.2")
+@invocation("face_off", title="FaceOff", tags=["image", "faceoff", "face", "mask"], category="image", version="1.1.0")
 class FaceOffInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Bound, extract, and mask a face from an image using MediaPipe detection"""
 
@@ -532,7 +532,7 @@ class FaceOffInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         return output
 
 
-@invocation("face_mask_detection", title="FaceMask", tags=["image", "face", "mask"], category="image", version="1.0.2")
+@invocation("face_mask_detection", title="FaceMask", tags=["image", "face", "mask"], category="image", version="1.1.0")
 class FaceMaskInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Face mask creation using mediapipe face detection"""
 
@@ -650,7 +650,7 @@ class FaceMaskInvocation(BaseInvocation, WithWorkflow, WithMetadata):
 
 
 @invocation(
-    "face_identifier", title="FaceIdentifier", tags=["image", "face", "identifier"], category="image", version="1.0.2"
+    "face_identifier", title="FaceIdentifier", tags=["image", "face", "identifier"], category="image", version="1.1.0"
 )
 class FaceIdentifierInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Outputs an image with detected face IDs printed on each face. For use with other FaceTools."""
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index f4d32234b9..1e0adbd37a 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -36,7 +36,7 @@ class ShowImageInvocation(BaseInvocation):
         )
 
 
-@invocation("blank_image", title="Blank Image", tags=["image"], category="image", version="1.0.0")
+@invocation("blank_image", title="Blank Image", tags=["image"], category="image", version="1.1.0")
 class BlankImageInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Creates a blank image and forwards it to the pipeline"""
 
@@ -66,7 +66,7 @@ class BlankImageInvocation(BaseInvocation, WithMetadata, WithWorkflow):
         )
 
 
-@invocation("img_crop", title="Crop Image", tags=["image", "crop"], category="image", version="1.0.0")
+@invocation("img_crop", title="Crop Image", tags=["image", "crop"], category="image", version="1.1.0")
 class ImageCropInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Crops an image to a specified box. The box can be outside of the image."""
 
@@ -100,7 +100,7 @@ class ImageCropInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("img_paste", title="Paste Image", tags=["image", "paste"], category="image", version="1.0.1")
+@invocation("img_paste", title="Paste Image", tags=["image", "paste"], category="image", version="1.1.0")
 class ImagePasteInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Pastes an image into another image."""
 
@@ -154,7 +154,7 @@ class ImagePasteInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("tomask", title="Mask from Alpha", tags=["image", "mask"], category="image", version="1.0.0")
+@invocation("tomask", title="Mask from Alpha", tags=["image", "mask"], category="image", version="1.1.0")
 class MaskFromAlphaInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Extracts the alpha channel of an image as a mask."""
 
@@ -186,7 +186,7 @@ class MaskFromAlphaInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("img_mul", title="Multiply Images", tags=["image", "multiply"], category="image", version="1.0.0")
+@invocation("img_mul", title="Multiply Images", tags=["image", "multiply"], category="image", version="1.1.0")
 class ImageMultiplyInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Multiplies two images together using `PIL.ImageChops.multiply()`."""
 
@@ -220,7 +220,7 @@ class ImageMultiplyInvocation(BaseInvocation, WithWorkflow, WithMetadata):
 IMAGE_CHANNELS = Literal["A", "R", "G", "B"]
 
 
-@invocation("img_chan", title="Extract Image Channel", tags=["image", "channel"], category="image", version="1.0.0")
+@invocation("img_chan", title="Extract Image Channel", tags=["image", "channel"], category="image", version="1.1.0")
 class ImageChannelInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Gets a channel from an image."""
 
@@ -253,7 +253,7 @@ class ImageChannelInvocation(BaseInvocation, WithWorkflow, WithMetadata):
 IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"]
 
 
-@invocation("img_conv", title="Convert Image Mode", tags=["image", "convert"], category="image", version="1.0.0")
+@invocation("img_conv", title="Convert Image Mode", tags=["image", "convert"], category="image", version="1.1.0")
 class ImageConvertInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Converts an image to a different mode."""
 
@@ -283,7 +283,7 @@ class ImageConvertInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("img_blur", title="Blur Image", tags=["image", "blur"], category="image", version="1.0.0")
+@invocation("img_blur", title="Blur Image", tags=["image", "blur"], category="image", version="1.1.0")
 class ImageBlurInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Blurs an image"""
 
@@ -338,7 +338,7 @@ PIL_RESAMPLING_MAP = {
 }
 
 
-@invocation("img_resize", title="Resize Image", tags=["image", "resize"], category="image", version="1.0.0")
+@invocation("img_resize", title="Resize Image", tags=["image", "resize"], category="image", version="1.1.0")
 class ImageResizeInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Resizes an image to specific dimensions"""
 
@@ -375,7 +375,7 @@ class ImageResizeInvocation(BaseInvocation, WithMetadata, WithWorkflow):
         )
 
 
-@invocation("img_scale", title="Scale Image", tags=["image", "scale"], category="image", version="1.0.0")
+@invocation("img_scale", title="Scale Image", tags=["image", "scale"], category="image", version="1.1.0")
 class ImageScaleInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Scales an image by a factor"""
 
@@ -417,7 +417,7 @@ class ImageScaleInvocation(BaseInvocation, WithMetadata, WithWorkflow):
         )
 
 
-@invocation("img_lerp", title="Lerp Image", tags=["image", "lerp"], category="image", version="1.0.0")
+@invocation("img_lerp", title="Lerp Image", tags=["image", "lerp"], category="image", version="1.1.0")
 class ImageLerpInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Linear interpolation of all pixels of an image"""
 
@@ -451,7 +451,7 @@ class ImageLerpInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("img_ilerp", title="Inverse Lerp Image", tags=["image", "ilerp"], category="image", version="1.0.0")
+@invocation("img_ilerp", title="Inverse Lerp Image", tags=["image", "ilerp"], category="image", version="1.1.0")
 class ImageInverseLerpInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Inverse linear interpolation of all pixels of an image"""
 
@@ -485,7 +485,7 @@ class ImageInverseLerpInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("img_nsfw", title="Blur NSFW Image", tags=["image", "nsfw"], category="image", version="1.0.0")
+@invocation("img_nsfw", title="Blur NSFW Image", tags=["image", "nsfw"], category="image", version="1.1.0")
 class ImageNSFWBlurInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Add blur to NSFW-flagged images"""
 
@@ -532,7 +532,7 @@ class ImageNSFWBlurInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     title="Add Invisible Watermark",
     tags=["image", "watermark"],
     category="image",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ImageWatermarkInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Add an invisible watermark to an image"""
@@ -561,7 +561,7 @@ class ImageWatermarkInvocation(BaseInvocation, WithMetadata, WithWorkflow):
         )
 
 
-@invocation("mask_edge", title="Mask Edge", tags=["image", "mask", "inpaint"], category="image", version="1.0.0")
+@invocation("mask_edge", title="Mask Edge", tags=["image", "mask", "inpaint"], category="image", version="1.1.0")
 class MaskEdgeInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Applies an edge mask to an image"""
 
@@ -612,7 +612,7 @@ class MaskEdgeInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     title="Combine Masks",
     tags=["image", "mask", "multiply"],
     category="image",
-    version="1.0.0",
+    version="1.1.0",
 )
 class MaskCombineInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`."""
@@ -644,7 +644,7 @@ class MaskCombineInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("color_correct", title="Color Correct", tags=["image", "color"], category="image", version="1.0.0")
+@invocation("color_correct", title="Color Correct", tags=["image", "color"], category="image", version="1.1.0")
 class ColorCorrectInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """
     Shifts the colors of a target image to match the reference image, optionally
@@ -755,7 +755,7 @@ class ColorCorrectInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("img_hue_adjust", title="Adjust Image Hue", tags=["image", "hue"], category="image", version="1.0.0")
+@invocation("img_hue_adjust", title="Adjust Image Hue", tags=["image", "hue"], category="image", version="1.1.0")
 class ImageHueAdjustmentInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Adjusts the Hue of an image."""
 
@@ -858,7 +858,7 @@ CHANNEL_FORMATS = {
         "value",
     ],
     category="image",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ImageChannelOffsetInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Add or subtract a value from a specific color channel of an image."""
@@ -929,7 +929,7 @@ class ImageChannelOffsetInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         "value",
     ],
     category="image",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ImageChannelMultiplyInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Scale a specific color channel of an image."""
@@ -988,7 +988,7 @@ class ImageChannelMultiplyInvocation(BaseInvocation, WithWorkflow, WithMetadata)
     title="Save Image",
     tags=["primitives", "image"],
     category="primitives",
-    version="1.0.1",
+    version="1.1.0",
     use_cache=False,
 )
 class SaveImageInvocation(BaseInvocation, WithWorkflow, WithMetadata):
diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py
index b100fe7c4e..9905aa1b5e 100644
--- a/invokeai/app/invocations/infill.py
+++ b/invokeai/app/invocations/infill.py
@@ -118,7 +118,7 @@ def tile_fill_missing(im: Image.Image, tile_size: int = 16, seed: Optional[int]
     return si
 
 
-@invocation("infill_rgba", title="Solid Color Infill", tags=["image", "inpaint"], category="inpaint", version="1.0.0")
+@invocation("infill_rgba", title="Solid Color Infill", tags=["image", "inpaint"], category="inpaint", version="1.1.0")
 class InfillColorInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Infills transparent areas of an image with a solid color"""
 
@@ -154,7 +154,7 @@ class InfillColorInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("infill_tile", title="Tile Infill", tags=["image", "inpaint"], category="inpaint", version="1.0.0")
+@invocation("infill_tile", title="Tile Infill", tags=["image", "inpaint"], category="inpaint", version="1.1.0")
 class InfillTileInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Infills transparent areas of an image with tiles of the image"""
 
@@ -192,7 +192,7 @@ class InfillTileInvocation(BaseInvocation, WithWorkflow, WithMetadata):
 
 
 @invocation(
-    "infill_patchmatch", title="PatchMatch Infill", tags=["image", "inpaint"], category="inpaint", version="1.0.0"
+    "infill_patchmatch", title="PatchMatch Infill", tags=["image", "inpaint"], category="inpaint", version="1.1.0"
 )
 class InfillPatchMatchInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Infills transparent areas of an image using the PatchMatch algorithm"""
@@ -245,7 +245,7 @@ class InfillPatchMatchInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("infill_lama", title="LaMa Infill", tags=["image", "inpaint"], category="inpaint", version="1.0.0")
+@invocation("infill_lama", title="LaMa Infill", tags=["image", "inpaint"], category="inpaint", version="1.1.0")
 class LaMaInfillInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Infills transparent areas of an image using the LaMa model"""
 
@@ -274,7 +274,7 @@ class LaMaInfillInvocation(BaseInvocation, WithWorkflow, WithMetadata):
         )
 
 
-@invocation("infill_cv2", title="CV2 Infill", tags=["image", "inpaint"], category="inpaint")
+@invocation("infill_cv2", title="CV2 Infill", tags=["image", "inpaint"], category="inpaint", version="1.1.0")
 class CV2InfillInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Infills transparent areas of an image using OpenCV Inpainting"""
 
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 9412aec39b..12d30301cf 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -790,7 +790,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
     title="Latents to Image",
     tags=["latents", "image", "vae", "l2i"],
     category="latents",
-    version="1.0.0",
+    version="1.1.0",
 )
 class LatentsToImageInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Generates an image from latents."""
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 45b5ed61b1..37b63fe692 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -326,7 +326,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
     title="ONNX Latents to Image",
     tags=["latents", "image", "vae", "onnx"],
     category="image",
-    version="1.0.0",
+    version="1.1.0",
 )
 class ONNXLatentsToImageInvocation(BaseInvocation, WithMetadata, WithWorkflow):
     """Generates an image from latents."""
diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index 1167914aca..557325eaa0 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -29,7 +29,7 @@ if choose_torch_device() == torch.device("mps"):
     from torch import mps
 
 
-@invocation("esrgan", title="Upscale (RealESRGAN)", tags=["esrgan", "upscale"], category="esrgan", version="1.1.0")
+@invocation("esrgan", title="Upscale (RealESRGAN)", tags=["esrgan", "upscale"], category="esrgan", version="1.2.0")
 class ESRGANInvocation(BaseInvocation, WithWorkflow, WithMetadata):
     """Upscales an image using RealESRGAN."""
 
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 94e05f791c..561b577a46 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -920,7 +920,10 @@
         "unknownTemplate": "Unknown Template",
         "unkownInvocation": "Unknown Invocation type",
         "updateNode": "Update Node",
+        "updateAllNodes": "Update All Nodes",
         "updateApp": "Update App",
+        "unableToUpdateNodes_one": "Unable to update {{count}} node",
+        "unableToUpdateNodes_other": "Unable to update {{count}} nodes",
         "vaeField": "Vae",
         "vaeFieldDescription": "Vae submodel.",
         "vaeModelField": "VAE",
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
index 772ea216c0..9c1727fc79 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/index.ts
@@ -72,6 +72,7 @@ import { addStagingAreaImageSavedListener } from './listeners/stagingAreaImageSa
 import { addTabChangedListener } from './listeners/tabChanged';
 import { addUpscaleRequestedListener } from './listeners/upscaleRequested';
 import { addWorkflowLoadedListener } from './listeners/workflowLoaded';
+import { addUpdateAllNodesRequestedListener } from './listeners/updateAllNodesRequested';
 
 export const listenerMiddleware = createListenerMiddleware();
 
@@ -178,6 +179,7 @@ addReceivedOpenAPISchemaListener();
 
 // Workflows
 addWorkflowLoadedListener();
+addUpdateAllNodesRequestedListener();
 
 // DND
 addImageDroppedListener();
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/updateAllNodesRequested.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/updateAllNodesRequested.ts
new file mode 100644
index 0000000000..ece6702ceb
--- /dev/null
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/updateAllNodesRequested.ts
@@ -0,0 +1,52 @@
+import {
+  getNeedsUpdate,
+  updateNode,
+} from 'features/nodes/hooks/useNodeVersion';
+import { updateAllNodesRequested } from 'features/nodes/store/actions';
+import { nodeReplaced } from 'features/nodes/store/nodesSlice';
+import { startAppListening } from '..';
+import { logger } from 'app/logging/logger';
+import { addToast } from 'features/system/store/systemSlice';
+import { makeToast } from 'features/system/util/makeToast';
+import { t } from 'i18next';
+
+export const addUpdateAllNodesRequestedListener = () => {
+  startAppListening({
+    actionCreator: updateAllNodesRequested,
+    effect: (action, { dispatch, getState }) => {
+      const log = logger('nodes');
+      const nodes = getState().nodes.nodes;
+      const templates = getState().nodes.nodeTemplates;
+
+      let unableToUpdateCount = 0;
+
+      nodes.forEach((node) => {
+        const template = templates[node.data.type];
+        const needsUpdate = getNeedsUpdate(node, template);
+        const updatedNode = updateNode(node, template);
+        if (!updatedNode) {
+          if (needsUpdate) {
+            unableToUpdateCount++;
+          }
+          return;
+        }
+        dispatch(nodeReplaced({ nodeId: updatedNode.id, node: updatedNode }));
+      });
+
+      if (unableToUpdateCount) {
+        log.warn(
+          `Unable to update ${unableToUpdateCount} nodes. Please report this issue.`
+        );
+        dispatch(
+          addToast(
+            makeToast({
+              title: t('nodes.unableToUpdateNodes', {
+                count: unableToUpdateCount,
+              }),
+            })
+          )
+        );
+      }
+    },
+  });
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeHeader.tsx
index cd6c5215d1..643e003f72 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeHeader.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeHeader.tsx
@@ -3,7 +3,7 @@ import { memo } from 'react';
 import NodeCollapseButton from '../common/NodeCollapseButton';
 import NodeTitle from '../common/NodeTitle';
 import InvocationNodeCollapsedHandles from './InvocationNodeCollapsedHandles';
-import InvocationNodeNotes from './InvocationNodeNotes';
+import InvocationNodeInfoIcon from './InvocationNodeInfoIcon';
 import InvocationNodeStatusIndicator from './InvocationNodeStatusIndicator';
 
 type Props = {
@@ -34,7 +34,7 @@ const InvocationNodeHeader = ({ nodeId, isOpen }: Props) => {
       <NodeTitle nodeId={nodeId} />
       <Flex alignItems="center">
         <InvocationNodeStatusIndicator nodeId={nodeId} />
-        <InvocationNodeNotes nodeId={nodeId} />
+        <InvocationNodeInfoIcon nodeId={nodeId} />
       </Flex>
       {!isOpen && <InvocationNodeCollapsedHandles nodeId={nodeId} />}
     </Flex>
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeInfoIcon.tsx
similarity index 58%
rename from invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx
rename to invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeInfoIcon.tsx
index 8a96fb4230..83867a35cb 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeNotes.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/InvocationNodeInfoIcon.tsx
@@ -1,85 +1,39 @@
-import {
-  Flex,
-  Icon,
-  Modal,
-  ModalBody,
-  ModalCloseButton,
-  ModalContent,
-  ModalFooter,
-  ModalHeader,
-  ModalOverlay,
-  Text,
-  Tooltip,
-  useDisclosure,
-} from '@chakra-ui/react';
+import { Flex, Icon, Text, Tooltip } from '@chakra-ui/react';
 import { compare } from 'compare-versions';
 import { useNodeData } from 'features/nodes/hooks/useNodeData';
-import { useNodeLabel } from 'features/nodes/hooks/useNodeLabel';
 import { useNodeTemplate } from 'features/nodes/hooks/useNodeTemplate';
-import { useNodeTemplateTitle } from 'features/nodes/hooks/useNodeTemplateTitle';
+import { useNodeVersion } from 'features/nodes/hooks/useNodeVersion';
 import { isInvocationNodeData } from 'features/nodes/types/types';
 import { memo, useMemo } from 'react';
-import { FaInfoCircle } from 'react-icons/fa';
-import NotesTextarea from './NotesTextarea';
-import { useDoNodeVersionsMatch } from 'features/nodes/hooks/useDoNodeVersionsMatch';
 import { useTranslation } from 'react-i18next';
+import { FaInfoCircle } from 'react-icons/fa';
 
 interface Props {
   nodeId: string;
 }
 
-const InvocationNodeNotes = ({ nodeId }: Props) => {
-  const { isOpen, onOpen, onClose } = useDisclosure();
-  const label = useNodeLabel(nodeId);
-  const title = useNodeTemplateTitle(nodeId);
-  const doVersionsMatch = useDoNodeVersionsMatch(nodeId);
-  const { t } = useTranslation();
+const InvocationNodeInfoIcon = ({ nodeId }: Props) => {
+  const { needsUpdate } = useNodeVersion(nodeId);
 
   return (
-    <>
-      <Tooltip
-        label={<TooltipContent nodeId={nodeId} />}
-        placement="top"
-        shouldWrapChildren
-      >
-        <Flex
-          className="nodrag"
-          onClick={onOpen}
-          sx={{
-            alignItems: 'center',
-            justifyContent: 'center',
-            w: 8,
-            h: 8,
-            cursor: 'pointer',
-          }}
-        >
-          <Icon
-            as={FaInfoCircle}
-            sx={{
-              boxSize: 4,
-              w: 8,
-              color: doVersionsMatch ? 'base.400' : 'error.400',
-            }}
-          />
-        </Flex>
-      </Tooltip>
-
-      <Modal isOpen={isOpen} onClose={onClose} isCentered>
-        <ModalOverlay />
-        <ModalContent>
-          <ModalHeader>{label || title || t('nodes.unknownNode')}</ModalHeader>
-          <ModalCloseButton />
-          <ModalBody>
-            <NotesTextarea nodeId={nodeId} />
-          </ModalBody>
-          <ModalFooter />
-        </ModalContent>
-      </Modal>
-    </>
+    <Tooltip
+      label={<TooltipContent nodeId={nodeId} />}
+      placement="top"
+      shouldWrapChildren
+    >
+      <Icon
+        as={FaInfoCircle}
+        sx={{
+          boxSize: 4,
+          w: 8,
+          color: needsUpdate ? 'error.400' : 'base.400',
+        }}
+      />
+    </Tooltip>
   );
 };
 
-export default memo(InvocationNodeNotes);
+export default memo(InvocationNodeInfoIcon);
 
 const TooltipContent = memo(({ nodeId }: { nodeId: string }) => {
   const data = useNodeData(nodeId);
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx
index d355eab348..38aa9bbad7 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopLeftPanel/TopLeftPanel.tsx
@@ -3,15 +3,22 @@ import { useAppDispatch } from 'app/store/storeHooks';
 import IAIIconButton from 'common/components/IAIIconButton';
 import { addNodePopoverOpened } from 'features/nodes/store/nodesSlice';
 import { memo, useCallback } from 'react';
-import { FaPlus } from 'react-icons/fa';
+import { FaPlus, FaSync } from 'react-icons/fa';
 import { useTranslation } from 'react-i18next';
+import IAIButton from 'common/components/IAIButton';
+import { useGetNodesNeedUpdate } from 'features/nodes/hooks/useGetNodesNeedUpdate';
+import { updateAllNodesRequested } from 'features/nodes/store/actions';
 
 const TopLeftPanel = () => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
+  const nodesNeedUpdate = useGetNodesNeedUpdate();
   const handleOpenAddNodePopover = useCallback(() => {
     dispatch(addNodePopoverOpened());
   }, [dispatch]);
+  const handleClickUpdateNodes = useCallback(() => {
+    dispatch(updateAllNodesRequested());
+  }, [dispatch]);
 
   return (
     <Flex sx={{ gap: 2, position: 'absolute', top: 2, insetInlineStart: 2 }}>
@@ -21,6 +28,11 @@ const TopLeftPanel = () => {
         icon={<FaPlus />}
         onClick={handleOpenAddNodePopover}
       />
+      {nodesNeedUpdate && (
+        <IAIButton leftIcon={<FaSync />} onClick={handleClickUpdateNodes}>
+          {t('nodes.updateAllNodes')}
+        </IAIButton>
+      )}
     </Flex>
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx
new file mode 100644
index 0000000000..a627f33f24
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorDetailsTab.tsx
@@ -0,0 +1,125 @@
+import {
+  Box,
+  Flex,
+  FormControl,
+  FormLabel,
+  HStack,
+  Text,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAIIconButton from 'common/components/IAIIconButton';
+import { IAINoContentFallback } from 'common/components/IAIImageFallback';
+import { useNodeVersion } from 'features/nodes/hooks/useNodeVersion';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+  isInvocationNode,
+} from 'features/nodes/types/types';
+import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
+import { FaSync } from 'react-icons/fa';
+import { Node } from 'reactflow';
+import NotesTextarea from '../../flow/nodes/Invocation/NotesTextarea';
+import ScrollableContent from '../ScrollableContent';
+import EditableNodeTitle from './details/EditableNodeTitle';
+
+const selector = createSelector(
+  stateSelector,
+  ({ nodes }) => {
+    const lastSelectedNodeId =
+      nodes.selectedNodes[nodes.selectedNodes.length - 1];
+
+    const lastSelectedNode = nodes.nodes.find(
+      (node) => node.id === lastSelectedNodeId
+    );
+
+    const lastSelectedNodeTemplate = lastSelectedNode
+      ? nodes.nodeTemplates[lastSelectedNode.data.type]
+      : undefined;
+
+    return {
+      node: lastSelectedNode,
+      template: lastSelectedNodeTemplate,
+    };
+  },
+  defaultSelectorOptions
+);
+
+const InspectorDetailsTab = () => {
+  const { node, template } = useAppSelector(selector);
+  const { t } = useTranslation();
+
+  if (!template || !isInvocationNode(node)) {
+    return (
+      <IAINoContentFallback label={t('nodes.noNodeSelected')} icon={null} />
+    );
+  }
+
+  return <Content node={node} template={template} />;
+};
+
+export default memo(InspectorDetailsTab);
+
+const Content = (props: {
+  node: Node<InvocationNodeData>;
+  template: InvocationTemplate;
+}) => {
+  const { t } = useTranslation();
+  const { needsUpdate, updateNode } = useNodeVersion(props.node.id);
+  return (
+    <Box
+      sx={{
+        position: 'relative',
+        w: 'full',
+        h: 'full',
+      }}
+    >
+      <ScrollableContent>
+        <Flex
+          sx={{
+            flexDir: 'column',
+            position: 'relative',
+            p: 1,
+            gap: 2,
+            w: 'full',
+          }}
+        >
+          <EditableNodeTitle nodeId={props.node.data.id} />
+          <HStack>
+            <FormControl>
+              <FormLabel>Node Type</FormLabel>
+              <Text fontSize="sm" fontWeight={600}>
+                {props.template.title}
+              </Text>
+            </FormControl>
+            <Flex
+              flexDir="row"
+              alignItems="center"
+              justifyContent="space-between"
+              w="full"
+            >
+              <FormControl isInvalid={needsUpdate}>
+                <FormLabel>Node Version</FormLabel>
+                <Text fontSize="sm" fontWeight={600}>
+                  {props.node.data.version}
+                </Text>
+              </FormControl>
+              {needsUpdate && (
+                <IAIIconButton
+                  aria-label={t('nodes.updateNode')}
+                  tooltip={t('nodes.updateNode')}
+                  icon={<FaSync />}
+                  onClick={updateNode}
+                />
+              )}
+            </Flex>
+          </HStack>
+          <NotesTextarea nodeId={props.node.data.id} />
+        </Flex>
+      </ScrollableContent>
+    </Box>
+  );
+};
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorPanel.tsx
index 9b13cf9e1c..e3dc6645c5 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorPanel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/InspectorPanel.tsx
@@ -10,7 +10,7 @@ import { memo } from 'react';
 import InspectorDataTab from './InspectorDataTab';
 import InspectorOutputsTab from './InspectorOutputsTab';
 import InspectorTemplateTab from './InspectorTemplateTab';
-// import InspectorDetailsTab from './InspectorDetailsTab';
+import InspectorDetailsTab from './InspectorDetailsTab';
 
 const InspectorPanel = () => {
   return (
@@ -30,16 +30,16 @@ const InspectorPanel = () => {
         sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
       >
         <TabList>
-          {/* <Tab>Details</Tab> */}
+          <Tab>Details</Tab>
           <Tab>Outputs</Tab>
           <Tab>Data</Tab>
           <Tab>Template</Tab>
         </TabList>
 
         <TabPanels>
-          {/* <TabPanel>
+          <TabPanel>
             <InspectorDetailsTab />
-          </TabPanel> */}
+          </TabPanel>
           <TabPanel>
             <InspectorOutputsTab />
           </TabPanel>
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/details/EditableNodeTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/details/EditableNodeTitle.tsx
new file mode 100644
index 0000000000..bf32046c6c
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/inspector/details/EditableNodeTitle.tsx
@@ -0,0 +1,74 @@
+import {
+  Editable,
+  EditableInput,
+  EditablePreview,
+  Flex,
+} from '@chakra-ui/react';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { useNodeLabel } from 'features/nodes/hooks/useNodeLabel';
+import { useNodeTemplateTitle } from 'features/nodes/hooks/useNodeTemplateTitle';
+import { nodeLabelChanged } from 'features/nodes/store/nodesSlice';
+import { memo, useCallback, useEffect, useState } from 'react';
+import { useTranslation } from 'react-i18next';
+
+type Props = {
+  nodeId: string;
+  title?: string;
+};
+
+const EditableNodeTitle = ({ nodeId, title }: Props) => {
+  const dispatch = useAppDispatch();
+  const label = useNodeLabel(nodeId);
+  const templateTitle = useNodeTemplateTitle(nodeId);
+  const { t } = useTranslation();
+
+  const [localTitle, setLocalTitle] = useState('');
+  const handleSubmit = useCallback(
+    async (newTitle: string) => {
+      dispatch(nodeLabelChanged({ nodeId, label: newTitle }));
+      setLocalTitle(
+        label || title || templateTitle || t('nodes.problemSettingTitle')
+      );
+    },
+    [dispatch, nodeId, title, templateTitle, label, t]
+  );
+
+  const handleChange = useCallback((newTitle: string) => {
+    setLocalTitle(newTitle);
+  }, []);
+
+  useEffect(() => {
+    // Another component may change the title; sync local title with global state
+    setLocalTitle(
+      label || title || templateTitle || t('nodes.problemSettingTitle')
+    );
+  }, [label, templateTitle, title, t]);
+
+  return (
+    <Flex
+      sx={{
+        w: 'full',
+        h: 'full',
+        alignItems: 'center',
+        justifyContent: 'center',
+      }}
+    >
+      <Editable
+        as={Flex}
+        value={localTitle}
+        onChange={handleChange}
+        onSubmit={handleSubmit}
+        w="full"
+        fontWeight={600}
+      >
+        <EditablePreview noOfLines={1} />
+        <EditableInput
+          className="nodrag"
+          _focusVisible={{ boxShadow: 'none' }}
+        />
+      </Editable>
+    </Flex>
+  );
+};
+
+export default memo(EditableNodeTitle);
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
index 40c3f029d7..036ce8d44e 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useBuildNodeData.ts
@@ -1,19 +1,10 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { RootState } from 'app/store/store';
 import { useAppSelector } from 'app/store/storeHooks';
-import { reduce } from 'lodash-es';
 import { useCallback } from 'react';
 import { Node, useReactFlow } from 'reactflow';
 import { AnyInvocationType } from 'services/events/types';
-import { v4 as uuidv4 } from 'uuid';
-import {
-  CurrentImageNodeData,
-  InputFieldValue,
-  InvocationNodeData,
-  NotesNodeData,
-  OutputFieldValue,
-} from '../types/types';
-import { buildInputFieldValue } from '../util/fieldValueBuilders';
+import { buildNodeData } from '../store/util/buildNodeData';
 import { DRAG_HANDLE_CLASSNAME, NODE_WIDTH } from '../types/constants';
 
 const templatesSelector = createSelector(
@@ -26,14 +17,12 @@ export const SHARED_NODE_PROPERTIES: Partial<Node> = {
 };
 
 export const useBuildNodeData = () => {
-  const invocationTemplates = useAppSelector(templatesSelector);
+  const nodeTemplates = useAppSelector(templatesSelector);
 
   const flow = useReactFlow();
 
   return useCallback(
     (type: AnyInvocationType | 'current_image' | 'notes') => {
-      const nodeId = uuidv4();
-
       let _x = window.innerWidth / 2;
       let _y = window.innerHeight / 2;
 
@@ -47,111 +36,15 @@ export const useBuildNodeData = () => {
         _y = rect.height / 2 - NODE_WIDTH / 2;
       }
 
-      const { x, y } = flow.project({
+      const position = flow.project({
         x: _x,
         y: _y,
       });
 
-      if (type === 'current_image') {
-        const node: Node<CurrentImageNodeData> = {
-          ...SHARED_NODE_PROPERTIES,
-          id: nodeId,
-          type: 'current_image',
-          position: { x: x, y: y },
-          data: {
-            id: nodeId,
-            type: 'current_image',
-            isOpen: true,
-            label: 'Current Image',
-          },
-        };
+      const template = nodeTemplates[type];
 
-        return node;
-      }
-
-      if (type === 'notes') {
-        const node: Node<NotesNodeData> = {
-          ...SHARED_NODE_PROPERTIES,
-          id: nodeId,
-          type: 'notes',
-          position: { x: x, y: y },
-          data: {
-            id: nodeId,
-            isOpen: true,
-            label: 'Notes',
-            notes: '',
-            type: 'notes',
-          },
-        };
-
-        return node;
-      }
-
-      const template = invocationTemplates[type];
-
-      if (template === undefined) {
-        console.error(`Unable to find template ${type}.`);
-        return;
-      }
-
-      const inputs = reduce(
-        template.inputs,
-        (inputsAccumulator, inputTemplate, inputName) => {
-          const fieldId = uuidv4();
-
-          const inputFieldValue: InputFieldValue = buildInputFieldValue(
-            fieldId,
-            inputTemplate
-          );
-
-          inputsAccumulator[inputName] = inputFieldValue;
-
-          return inputsAccumulator;
-        },
-        {} as Record<string, InputFieldValue>
-      );
-
-      const outputs = reduce(
-        template.outputs,
-        (outputsAccumulator, outputTemplate, outputName) => {
-          const fieldId = uuidv4();
-
-          const outputFieldValue: OutputFieldValue = {
-            id: fieldId,
-            name: outputName,
-            type: outputTemplate.type,
-            fieldKind: 'output',
-          };
-
-          outputsAccumulator[outputName] = outputFieldValue;
-
-          return outputsAccumulator;
-        },
-        {} as Record<string, OutputFieldValue>
-      );
-
-      const invocation: Node<InvocationNodeData> = {
-        ...SHARED_NODE_PROPERTIES,
-        id: nodeId,
-        type: 'invocation',
-        position: { x: x, y: y },
-        data: {
-          id: nodeId,
-          type,
-          version: template.version,
-          label: '',
-          notes: '',
-          isOpen: true,
-          embedWorkflow: false,
-          isIntermediate: type === 'save_image' ? false : true,
-          inputs,
-          outputs,
-          useCache: template.useCache,
-        },
-      };
-
-      return invocation;
+      return buildNodeData(type, position, template);
     },
-    [invocationTemplates, flow]
+    [nodeTemplates, flow]
   );
 };
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useGetNodesNeedUpdate.ts b/invokeai/frontend/web/src/features/nodes/hooks/useGetNodesNeedUpdate.ts
new file mode 100644
index 0000000000..a413de38ae
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useGetNodesNeedUpdate.ts
@@ -0,0 +1,25 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { getNeedsUpdate } from './useNodeVersion';
+
+const selector = createSelector(
+  stateSelector,
+  (state) => {
+    const nodes = state.nodes.nodes;
+    const templates = state.nodes.nodeTemplates;
+
+    const needsUpdate = nodes.some((node) => {
+      const template = templates[node.data.type];
+      return getNeedsUpdate(node, template);
+    });
+    return needsUpdate;
+  },
+  defaultSelectorOptions
+);
+
+export const useGetNodesNeedUpdate = () => {
+  const getNeedsUpdate = useAppSelector(selector);
+  return getNeedsUpdate;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useNodeTemplateByType.ts b/invokeai/frontend/web/src/features/nodes/hooks/useNodeTemplateByType.ts
new file mode 100644
index 0000000000..6fd0615563
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useNodeTemplateByType.ts
@@ -0,0 +1,27 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { useMemo } from 'react';
+import { AnyInvocationType } from 'services/events/types';
+
+export const useNodeTemplateByType = (
+  type: AnyInvocationType | 'current_image' | 'notes'
+) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const nodeTemplate = nodes.nodeTemplates[type];
+          return nodeTemplate;
+        },
+        defaultSelectorOptions
+      ),
+    [type]
+  );
+
+  const nodeTemplate = useAppSelector(selector);
+
+  return nodeTemplate;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useNodeVersion.ts b/invokeai/frontend/web/src/features/nodes/hooks/useNodeVersion.ts
new file mode 100644
index 0000000000..1f213d6481
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useNodeVersion.ts
@@ -0,0 +1,119 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { satisfies } from 'compare-versions';
+import { cloneDeep, defaultsDeep } from 'lodash-es';
+import { useCallback, useMemo } from 'react';
+import { Node } from 'reactflow';
+import { AnyInvocationType } from 'services/events/types';
+import { nodeReplaced } from '../store/nodesSlice';
+import { buildNodeData } from '../store/util/buildNodeData';
+import {
+  InvocationNodeData,
+  InvocationTemplate,
+  NodeData,
+  isInvocationNode,
+  zParsedSemver,
+} from '../types/types';
+import { useAppToaster } from 'app/components/Toaster';
+import { useTranslation } from 'react-i18next';
+
+export const getNeedsUpdate = (
+  node?: Node<NodeData>,
+  template?: InvocationTemplate
+) => {
+  if (!isInvocationNode(node) || !template) {
+    return false;
+  }
+  return node.data.version !== template.version;
+};
+
+export const getMayUpdateNode = (
+  node?: Node<NodeData>,
+  template?: InvocationTemplate
+) => {
+  const needsUpdate = getNeedsUpdate(node, template);
+  if (
+    !needsUpdate ||
+    !isInvocationNode(node) ||
+    !template ||
+    !node.data.version
+  ) {
+    return false;
+  }
+  const templateMajor = zParsedSemver.parse(template.version).major;
+
+  return satisfies(node.data.version, `^${templateMajor}`);
+};
+
+export const updateNode = (
+  node?: Node<NodeData>,
+  template?: InvocationTemplate
+) => {
+  const mayUpdate = getMayUpdateNode(node, template);
+  if (
+    !mayUpdate ||
+    !isInvocationNode(node) ||
+    !template ||
+    !node.data.version
+  ) {
+    return;
+  }
+
+  const defaults = buildNodeData(
+    node.data.type as AnyInvocationType,
+    node.position,
+    template
+  ) as Node<InvocationNodeData>;
+
+  const clone = cloneDeep(node);
+  clone.data.version = template.version;
+  defaultsDeep(clone, defaults);
+  return clone;
+};
+
+export const useNodeVersion = (nodeId: string) => {
+  const dispatch = useAppDispatch();
+  const toast = useAppToaster();
+  const { t } = useTranslation();
+  const selector = useMemo(
+    () =>
+      createSelector(
+        stateSelector,
+        ({ nodes }) => {
+          const node = nodes.nodes.find((node) => node.id === nodeId);
+          const nodeTemplate = nodes.nodeTemplates[node?.data.type ?? ''];
+          return { node, nodeTemplate };
+        },
+        defaultSelectorOptions
+      ),
+    [nodeId]
+  );
+
+  const { node, nodeTemplate } = useAppSelector(selector);
+
+  const needsUpdate = useMemo(
+    () => getNeedsUpdate(node, nodeTemplate),
+    [node, nodeTemplate]
+  );
+
+  const mayUpdate = useMemo(
+    () => getMayUpdateNode(node, nodeTemplate),
+    [node, nodeTemplate]
+  );
+
+  const _updateNode = useCallback(() => {
+    const needsUpdate = getNeedsUpdate(node, nodeTemplate);
+    const updatedNode = updateNode(node, nodeTemplate);
+    if (!updatedNode) {
+      if (needsUpdate) {
+        toast({ title: t('nodes.unableToUpdateNodes', { count: 1 }) });
+      }
+      return;
+    }
+    dispatch(nodeReplaced({ nodeId: updatedNode.id, node: updatedNode }));
+  }, [dispatch, node, nodeTemplate, t, toast]);
+
+  return { needsUpdate, mayUpdate, updateNode: _updateNode };
+};
diff --git a/invokeai/frontend/web/src/features/nodes/store/actions.ts b/invokeai/frontend/web/src/features/nodes/store/actions.ts
index cf7ccf8238..0d75e6934d 100644
--- a/invokeai/frontend/web/src/features/nodes/store/actions.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/actions.ts
@@ -21,3 +21,7 @@ export const isAnyGraphBuilt = isAnyOf(
 export const workflowLoadRequested = createAction<Workflow>(
   'nodes/workflowLoadRequested'
 );
+
+export const updateAllNodesRequested = createAction(
+  'nodes/updateAllNodesRequested'
+);
diff --git a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
index cb8f3b7d28..3acef5978f 100644
--- a/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
+++ b/invokeai/frontend/web/src/features/nodes/store/nodesSlice.ts
@@ -149,6 +149,18 @@ const nodesSlice = createSlice({
     nodesChanged: (state, action: PayloadAction<NodeChange[]>) => {
       state.nodes = applyNodeChanges(action.payload, state.nodes);
     },
+    nodeReplaced: (
+      state,
+      action: PayloadAction<{ nodeId: string; node: Node }>
+    ) => {
+      const nodeIndex = state.nodes.findIndex(
+        (n) => n.id === action.payload.nodeId
+      );
+      if (nodeIndex < 0) {
+        return;
+      }
+      state.nodes[nodeIndex] = action.payload.node;
+    },
     nodeAdded: (
       state,
       action: PayloadAction<
@@ -1029,6 +1041,7 @@ export const {
   mouseOverFieldChanged,
   mouseOverNodeChanged,
   nodeAdded,
+  nodeReplaced,
   nodeEditorReset,
   nodeEmbedWorkflowChanged,
   nodeExclusivelySelected,
diff --git a/invokeai/frontend/web/src/features/nodes/store/util/buildNodeData.ts b/invokeai/frontend/web/src/features/nodes/store/util/buildNodeData.ts
new file mode 100644
index 0000000000..6cecc8c409
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/store/util/buildNodeData.ts
@@ -0,0 +1,127 @@
+import { DRAG_HANDLE_CLASSNAME } from 'features/nodes/types/constants';
+import {
+  CurrentImageNodeData,
+  InputFieldValue,
+  InvocationNodeData,
+  InvocationTemplate,
+  NotesNodeData,
+  OutputFieldValue,
+} from 'features/nodes/types/types';
+import { buildInputFieldValue } from 'features/nodes/util/fieldValueBuilders';
+import { reduce } from 'lodash-es';
+import { Node, XYPosition } from 'reactflow';
+import { AnyInvocationType } from 'services/events/types';
+import { v4 as uuidv4 } from 'uuid';
+
+export const SHARED_NODE_PROPERTIES: Partial<Node> = {
+  dragHandle: `.${DRAG_HANDLE_CLASSNAME}`,
+};
+export const buildNodeData = (
+  type: AnyInvocationType | 'current_image' | 'notes',
+  position: XYPosition,
+  template?: InvocationTemplate
+):
+  | Node<CurrentImageNodeData>
+  | Node<NotesNodeData>
+  | Node<InvocationNodeData>
+  | undefined => {
+  const nodeId = uuidv4();
+
+  if (type === 'current_image') {
+    const node: Node<CurrentImageNodeData> = {
+      ...SHARED_NODE_PROPERTIES,
+      id: nodeId,
+      type: 'current_image',
+      position,
+      data: {
+        id: nodeId,
+        type: 'current_image',
+        isOpen: true,
+        label: 'Current Image',
+      },
+    };
+
+    return node;
+  }
+
+  if (type === 'notes') {
+    const node: Node<NotesNodeData> = {
+      ...SHARED_NODE_PROPERTIES,
+      id: nodeId,
+      type: 'notes',
+      position,
+      data: {
+        id: nodeId,
+        isOpen: true,
+        label: 'Notes',
+        notes: '',
+        type: 'notes',
+      },
+    };
+
+    return node;
+  }
+
+  if (template === undefined) {
+    console.error(`Unable to find template ${type}.`);
+    return;
+  }
+
+  const inputs = reduce(
+    template.inputs,
+    (inputsAccumulator, inputTemplate, inputName) => {
+      const fieldId = uuidv4();
+
+      const inputFieldValue: InputFieldValue = buildInputFieldValue(
+        fieldId,
+        inputTemplate
+      );
+
+      inputsAccumulator[inputName] = inputFieldValue;
+
+      return inputsAccumulator;
+    },
+    {} as Record<string, InputFieldValue>
+  );
+
+  const outputs = reduce(
+    template.outputs,
+    (outputsAccumulator, outputTemplate, outputName) => {
+      const fieldId = uuidv4();
+
+      const outputFieldValue: OutputFieldValue = {
+        id: fieldId,
+        name: outputName,
+        type: outputTemplate.type,
+        fieldKind: 'output',
+      };
+
+      outputsAccumulator[outputName] = outputFieldValue;
+
+      return outputsAccumulator;
+    },
+    {} as Record<string, OutputFieldValue>
+  );
+
+  const invocation: Node<InvocationNodeData> = {
+    ...SHARED_NODE_PROPERTIES,
+    id: nodeId,
+    type: 'invocation',
+    position,
+    data: {
+      id: nodeId,
+      type,
+      version: template.version,
+      label: '',
+      notes: '',
+      isOpen: true,
+      embedWorkflow: false,
+      isIntermediate: type === 'save_image' ? false : true,
+      inputs,
+      outputs,
+      useCache: template.useCache,
+    },
+  };
+
+  return invocation;
+};
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index f8e48bda5c..81bfed5a1a 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -85,6 +85,37 @@ export type paths = {
      */
     put: operations["merge_models"];
   };
+  "/api/v1/model/record/": {
+    /**
+     * List Model Records
+     * @description Get a list of models.
+     */
+    get: operations["list_model_records"];
+  };
+  "/api/v1/model/record/i/{key}": {
+    /**
+     * Get Model Record
+     * @description Get a model record
+     */
+    get: operations["get_model_record"];
+    /**
+     * Del Model Record
+     * @description Delete Model
+     */
+    delete: operations["del_model_record"];
+    /**
+     * Update Model Record
+     * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
+     */
+    patch: operations["update_model_record"];
+  };
+  "/api/v1/model/record/i/": {
+    /**
+     * Add Model Record
+     * @description Add a model using the configuration information appropriate for its type.
+     */
+    post: operations["add_model_record"];
+  };
   "/api/v1/images/upload": {
     /**
      * Upload Image
@@ -482,11 +513,6 @@ export type components = {
        */
       version: string;
     };
-    /**
-     * BaseModelType
-     * @enum {string}
-     */
-    BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
     /** Batch */
     Batch: {
       /**
@@ -617,10 +643,10 @@ export type components = {
       /**
        * @description The color of the image
        * @default {
-       *   "a": 255,
-       *   "b": 0,
+       *   "r": 0,
        *   "g": 0,
-       *   "r": 0
+       *   "b": 0,
+       *   "a": 255
        * }
        */
       color?: components["schemas"]["ColorField"];
@@ -999,11 +1025,56 @@ export type components = {
        */
       type: "clip_output";
     };
+    /**
+     * CLIPVisionDiffusersConfig
+     * @description Model config for ClipVision.
+     */
+    CLIPVisionDiffusersConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default clip_vision
+       * @constant
+       */
+      type?: "clip_vision";
+      /**
+       * Format
+       * @constant
+       */
+      format: "diffusers";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /** CLIPVisionModelDiffusersConfig */
     CLIPVisionModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default clip_vision
@@ -1029,7 +1100,7 @@ export type components = {
        */
       model_name: string;
       /** @description Base model (usually 'Any') */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
     };
     /**
      * CV2 Infill
@@ -1376,10 +1447,10 @@ export type components = {
       /**
        * @description The color value
        * @default {
-       *   "a": 255,
-       *   "b": 0,
+       *   "r": 0,
        *   "g": 0,
-       *   "r": 0
+       *   "b": 0,
+       *   "a": 255
        * }
        */
       color?: components["schemas"]["ColorField"];
@@ -1696,6 +1767,103 @@ export type components = {
        */
       resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
     };
+    /**
+     * ControlNetCheckpointConfig
+     * @description Model config for ControlNet models (diffusers version).
+     */
+    ControlNetCheckpointConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default controlnet
+       * @constant
+       */
+      type?: "controlnet";
+      /**
+       * Format
+       * @default checkpoint
+       * @constant
+       */
+      format?: "checkpoint";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+      /**
+       * Config
+       * @description path to the checkpoint model config file
+       */
+      config: string;
+    };
+    /**
+     * ControlNetDiffusersConfig
+     * @description Model config for ControlNet models (diffusers version).
+     */
+    ControlNetDiffusersConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default controlnet
+       * @constant
+       */
+      type?: "controlnet";
+      /**
+       * Format
+       * @default diffusers
+       * @constant
+       */
+      format?: "diffusers";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /**
      * ControlNet
      * @description Collects ControlNet info to pass to other nodes
@@ -1765,7 +1933,7 @@ export type components = {
     ControlNetModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default controlnet
@@ -1789,7 +1957,7 @@ export type components = {
     ControlNetModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default controlnet
@@ -1818,7 +1986,7 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
     };
     /**
      * ControlOutput
@@ -3048,7 +3216,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["TestInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["TestInvocation2"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["TestInvocation3"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["StepParamEasingInvocation"];
+        [key: string]: components["schemas"]["GraphInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["TestInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["TestInvocation2"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["TestInvocation3"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"];
       };
       /**
        * Edges
@@ -3085,7 +3253,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["String2Output"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["VAEOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["SDXLModelLoaderOutput"];
+        [key: string]: components["schemas"]["IntegerOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["UNetOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["CLIPOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["MetadataOutput"] | components["schemas"]["MetadataItemOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["String2Output"] | components["schemas"]["VAEOutput"];
       };
       /**
        * Errors
@@ -3207,6 +3375,51 @@ export type components = {
        */
       type: "hed_image_processor";
     };
+    /**
+     * IPAdapterConfig
+     * @description Model config for IP Adaptor format models.
+     */
+    IPAdapterConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default ip_adapter
+       * @constant
+       */
+      type?: "ip_adapter";
+      /**
+       * Format
+       * @constant
+       */
+      format: "invokeai";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /** IPAdapterField */
     IPAdapterField: {
       /**
@@ -3327,13 +3540,13 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
     };
     /** IPAdapterModelInvokeAIConfig */
     IPAdapterModelInvokeAIConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default ip_adapter
@@ -4415,10 +4628,10 @@ export type components = {
       /**
        * @description The color to use to infill
        * @default {
-       *   "a": 255,
-       *   "b": 127,
+       *   "r": 127,
        *   "g": 127,
-       *   "r": 127
+       *   "b": 127,
+       *   "a": 255
        * }
        */
       color?: components["schemas"]["ColorField"];
@@ -5130,6 +5343,51 @@ export type components = {
        */
       type: "lineart_image_processor";
     };
+    /**
+     * LoRAConfig
+     * @description Model config for LoRA/Lycoris models.
+     */
+    LoRAConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default lora
+       * @constant
+       */
+      type?: "lora";
+      /**
+       * Format
+       * @enum {string}
+       */
+      format: "lycoris" | "diffusers";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /**
      * LoRAMetadataField
      * @description LoRA Metadata Field
@@ -5147,7 +5405,7 @@ export type components = {
     LoRAModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default lora
@@ -5172,7 +5430,7 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
     };
     /**
      * LoRAModelFormat
@@ -5192,9 +5450,9 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /** @description Info to load submodel */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
       /** @description Info to load submodel */
       submodel?: components["schemas"]["SubModelType"] | null;
       /**
@@ -5275,6 +5533,128 @@ export type components = {
        */
       type: "lora_loader_output";
     };
+    /**
+     * MainCheckpointConfig
+     * @description Model config for main checkpoint models.
+     */
+    MainCheckpointConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default main
+       * @constant
+       */
+      type?: "main";
+      /**
+       * Format
+       * @default checkpoint
+       * @constant
+       */
+      format?: "checkpoint";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+      /** Vae */
+      vae?: string | null;
+      /** @default normal */
+      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
+      /**
+       * Ztsnr Training
+       * @default false
+       */
+      ztsnr_training?: boolean;
+      /**
+       * Config
+       * @description path to the checkpoint model config file
+       */
+      config: string;
+    };
+    /**
+     * MainDiffusersConfig
+     * @description Model config for main diffusers models.
+     */
+    MainDiffusersConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default main
+       * @constant
+       */
+      type?: "main";
+      /**
+       * Format
+       * @default diffusers
+       * @constant
+       */
+      format?: "diffusers";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+      /** Vae */
+      vae?: string | null;
+      /** @default normal */
+      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
+      /**
+       * Ztsnr Training
+       * @default false
+       */
+      ztsnr_training?: boolean;
+      /** @default epsilon */
+      prediction_type?: components["schemas"]["invokeai__backend__model_manager__config__SchedulerPredictionType"];
+      /**
+       * Upcast Attention
+       * @default false
+       */
+      upcast_attention?: boolean;
+    };
     /**
      * MainModelField
      * @description Main model field
@@ -5286,9 +5666,9 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /** @description Model Type */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
     };
     /**
      * Main Model
@@ -5808,9 +6188,9 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /** @description Info to load submodel */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
       /** @description Info to load submodel */
       submodel?: components["schemas"]["SubModelType"] | null;
     };
@@ -5841,21 +6221,6 @@ export type components = {
        */
       unet: components["schemas"]["UNetField"];
     };
-    /**
-     * ModelType
-     * @enum {string}
-     */
-    ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
-    /**
-     * ModelVariantType
-     * @enum {string}
-     */
-    ModelVariantType: "normal" | "inpaint" | "depth";
-    /** ModelsList */
-    ModelsList: {
-      /** Models */
-      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
-    };
     /**
      * Multiply Integers
      * @description Multiplies two numbers
@@ -6141,11 +6506,143 @@ export type components = {
        */
       type: "prompt_onnx";
     };
+    /**
+     * ONNXSD1Config
+     * @description Model config for ONNX format models based on sd-1.
+     */
+    ONNXSD1Config: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      /**
+       * Base
+       * @default sd-1
+       * @constant
+       */
+      base?: "sd-1";
+      /**
+       * Type
+       * @default onnx
+       * @constant
+       */
+      type?: "onnx";
+      /**
+       * Format
+       * @enum {string}
+       */
+      format: "onnx" | "olive";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+      /** Vae */
+      vae?: string | null;
+      /** @default normal */
+      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
+      /**
+       * Ztsnr Training
+       * @default false
+       */
+      ztsnr_training?: boolean;
+      /** @default epsilon */
+      prediction_type?: components["schemas"]["invokeai__backend__model_manager__config__SchedulerPredictionType"];
+      /**
+       * Upcast Attention
+       * @default false
+       */
+      upcast_attention?: boolean;
+    };
+    /**
+     * ONNXSD2Config
+     * @description Model config for ONNX format models based on sd-2.
+     */
+    ONNXSD2Config: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      /**
+       * Base
+       * @default sd-2
+       * @constant
+       */
+      base?: "sd-2";
+      /**
+       * Type
+       * @default onnx
+       * @constant
+       */
+      type?: "onnx";
+      /**
+       * Format
+       * @enum {string}
+       */
+      format: "onnx" | "olive";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+      /** Vae */
+      vae?: string | null;
+      /** @default normal */
+      variant?: components["schemas"]["invokeai__backend__model_manager__config__ModelVariantType"];
+      /**
+       * Ztsnr Training
+       * @default false
+       */
+      ztsnr_training?: boolean;
+      /** @default v_prediction */
+      prediction_type?: components["schemas"]["invokeai__backend__model_manager__config__SchedulerPredictionType"];
+      /**
+       * Upcast Attention
+       * @default true
+       */
+      upcast_attention?: boolean;
+    };
     /** ONNXStableDiffusion1ModelConfig */
     ONNXStableDiffusion1ModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default onnx
@@ -6162,13 +6659,13 @@ export type components = {
        */
       model_format: "onnx";
       error?: components["schemas"]["ModelError"] | null;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /** ONNXStableDiffusion2ModelConfig */
     ONNXStableDiffusion2ModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default onnx
@@ -6185,8 +6682,8 @@ export type components = {
        */
       model_format: "onnx";
       error?: components["schemas"]["ModelError"] | null;
-      variant: components["schemas"]["ModelVariantType"];
-      prediction_type: components["schemas"]["SchedulerPredictionType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
+      prediction_type: components["schemas"]["invokeai__backend__model_management__models__base__SchedulerPredictionType"];
       /** Upcast Attention */
       upcast_attention: boolean;
     };
@@ -6315,9 +6812,9 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /** @description Model Type */
-      model_type: components["schemas"]["ModelType"];
+      model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
     };
     /**
      * ONNX Main Model
@@ -7360,11 +7857,6 @@ export type components = {
        */
       type: "scheduler_output";
     };
-    /**
-     * SchedulerPredictionType
-     * @enum {string}
-     */
-    SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
     /**
      * Seamless
      * @description Applies the seamless transformation to the Model UNet and VAE.
@@ -7716,7 +8208,7 @@ export type components = {
     StableDiffusion1ModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default main
@@ -7737,13 +8229,13 @@ export type components = {
       vae?: string | null;
       /** Config */
       config: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /** StableDiffusion1ModelDiffusersConfig */
     StableDiffusion1ModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default main
@@ -7762,13 +8254,13 @@ export type components = {
       error?: components["schemas"]["ModelError"] | null;
       /** Vae */
       vae?: string | null;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /** StableDiffusion2ModelCheckpointConfig */
     StableDiffusion2ModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default main
@@ -7789,13 +8281,13 @@ export type components = {
       vae?: string | null;
       /** Config */
       config: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /** StableDiffusion2ModelDiffusersConfig */
     StableDiffusion2ModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default main
@@ -7814,13 +8306,13 @@ export type components = {
       error?: components["schemas"]["ModelError"] | null;
       /** Vae */
       vae?: string | null;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /** StableDiffusionXLModelCheckpointConfig */
     StableDiffusionXLModelCheckpointConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default main
@@ -7841,13 +8333,13 @@ export type components = {
       vae?: string | null;
       /** Config */
       config: string;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /** StableDiffusionXLModelDiffusersConfig */
     StableDiffusionXLModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default main
@@ -7866,7 +8358,7 @@ export type components = {
       error?: components["schemas"]["ModelError"] | null;
       /** Vae */
       vae?: string | null;
-      variant: components["schemas"]["ModelVariantType"];
+      variant: components["schemas"]["invokeai__backend__model_management__models__base__ModelVariantType"];
     };
     /**
      * Step Param Easing
@@ -8463,7 +8955,7 @@ export type components = {
     T2IAdapterModelDiffusersConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default t2i_adapter
@@ -8489,7 +8981,7 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
     };
     /** T2IAdapterOutput */
     T2IAdapterOutput: {
@@ -8505,6 +8997,51 @@ export type components = {
        */
       type: "t2i_adapter_output";
     };
+    /**
+     * T2IConfig
+     * @description Model config for T2I.
+     */
+    T2IConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default t2i_adapter
+       * @constant
+       */
+      type?: "t2i_adapter";
+      /**
+       * Format
+       * @constant
+       */
+      format: "diffusers";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /** TestInvocation */
     TestInvocation: {
       /**
@@ -8589,11 +9126,56 @@ export type components = {
        */
       type: "test_invocation_3";
     };
+    /**
+     * TextualInversionConfig
+     * @description Model config for textual inversion embeddings.
+     */
+    TextualInversionConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default embedding
+       * @constant
+       */
+      type?: "embedding";
+      /**
+       * Format
+       * @enum {string}
+       */
+      format: "embedding_file" | "embedding_folder";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /** TextualInversionModelConfig */
     TextualInversionModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default embedding
@@ -8709,7 +9291,7 @@ export type components = {
        */
       model_name: string;
       /** @description Base model */
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
     };
     /**
      * VAEOutput
@@ -8728,6 +9310,98 @@ export type components = {
        */
       type: "vae_output";
     };
+    /**
+     * VaeCheckpointConfig
+     * @description Model config for standalone VAE models.
+     */
+    VaeCheckpointConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default vae
+       * @constant
+       */
+      type?: "vae";
+      /**
+       * Format
+       * @default checkpoint
+       * @constant
+       */
+      format?: "checkpoint";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
+    /**
+     * VaeDiffusersConfig
+     * @description Model config for standalone VAE models (diffusers version).
+     */
+    VaeDiffusersConfig: {
+      /** Path */
+      path: string;
+      /** Name */
+      name: string;
+      base: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"];
+      /**
+       * Type
+       * @default vae
+       * @constant
+       */
+      type?: "vae";
+      /**
+       * Format
+       * @default diffusers
+       * @constant
+       */
+      format?: "diffusers";
+      /**
+       * Key
+       * @description unique key for model
+       * @default <NOKEY>
+       */
+      key?: string;
+      /**
+       * Original Hash
+       * @description original fasthash of model contents
+       */
+      original_hash?: string | null;
+      /**
+       * Current Hash
+       * @description current fasthash of model contents
+       */
+      current_hash?: string | null;
+      /** Description */
+      description?: string | null;
+      /**
+       * Source
+       * @description Model download source (URL or repo_id)
+       */
+      source?: string | null;
+    };
     /** VaeField */
     VaeField: {
       /** @description Info to load vae submodel */
@@ -8776,7 +9450,7 @@ export type components = {
     VaeModelConfig: {
       /** Model Name */
       model_name: string;
-      base_model: components["schemas"]["BaseModelType"];
+      base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       /**
        * Model Type
        * @default vae
@@ -8845,6 +9519,63 @@ export type components = {
        */
       type: "zoe_depth_image_processor";
     };
+    /**
+     * ModelsList
+     * @description Return list of configs.
+     */
+    invokeai__app__api__routers__model_records__ModelsList: {
+      /** Models */
+      models: ((components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"])[];
+    };
+    /** ModelsList */
+    invokeai__app__api__routers__models__ModelsList: {
+      /** Models */
+      models: (components["schemas"]["ONNXStableDiffusion1ModelConfig"] | components["schemas"]["StableDiffusion1ModelCheckpointConfig"] | components["schemas"]["StableDiffusion1ModelDiffusersConfig"] | components["schemas"]["VaeModelConfig"] | components["schemas"]["LoRAModelConfig"] | components["schemas"]["ControlNetModelCheckpointConfig"] | components["schemas"]["ControlNetModelDiffusersConfig"] | components["schemas"]["TextualInversionModelConfig"] | components["schemas"]["IPAdapterModelInvokeAIConfig"] | components["schemas"]["CLIPVisionModelDiffusersConfig"] | components["schemas"]["T2IAdapterModelDiffusersConfig"] | components["schemas"]["ONNXStableDiffusion2ModelConfig"] | components["schemas"]["StableDiffusion2ModelCheckpointConfig"] | components["schemas"]["StableDiffusion2ModelDiffusersConfig"] | components["schemas"]["StableDiffusionXLModelCheckpointConfig"] | components["schemas"]["StableDiffusionXLModelDiffusersConfig"])[];
+    };
+    /**
+     * BaseModelType
+     * @enum {string}
+     */
+    invokeai__backend__model_management__models__base__BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
+    /**
+     * ModelType
+     * @enum {string}
+     */
+    invokeai__backend__model_management__models__base__ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
+    /**
+     * ModelVariantType
+     * @enum {string}
+     */
+    invokeai__backend__model_management__models__base__ModelVariantType: "normal" | "inpaint" | "depth";
+    /**
+     * SchedulerPredictionType
+     * @enum {string}
+     */
+    invokeai__backend__model_management__models__base__SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
+    /**
+     * BaseModelType
+     * @description Base model type.
+     * @enum {string}
+     */
+    invokeai__backend__model_manager__config__BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
+    /**
+     * ModelType
+     * @description Model type.
+     * @enum {string}
+     */
+    invokeai__backend__model_manager__config__ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
+    /**
+     * ModelVariantType
+     * @description Variant type.
+     * @enum {string}
+     */
+    invokeai__backend__model_manager__config__ModelVariantType: "normal" | "inpaint" | "depth";
+    /**
+     * SchedulerPredictionType
+     * @description Scheduler prediction type.
+     * @enum {string}
+     */
+    invokeai__backend__model_manager__config__SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
     /**
      * Input
      * @description The type of input a field accepts.
@@ -8934,11 +9665,11 @@ export type components = {
       ui_order: number | null;
     };
     /**
-     * IPAdapterModelFormat
+     * StableDiffusionXLModelFormat
      * @description An enumeration.
      * @enum {string}
      */
-    IPAdapterModelFormat: "invokeai";
+    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionOnnxModelFormat
      * @description An enumeration.
@@ -8951,36 +9682,36 @@ export type components = {
      * @enum {string}
      */
     T2IAdapterModelFormat: "diffusers";
-    /**
-     * CLIPVisionModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    CLIPVisionModelFormat: "diffusers";
-    /**
-     * StableDiffusionXLModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion1ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusion2ModelFormat
      * @description An enumeration.
      * @enum {string}
      */
     StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * CLIPVisionModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    CLIPVisionModelFormat: "diffusers";
+    /**
+     * IPAdapterModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    IPAdapterModelFormat: "invokeai";
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -9058,16 +9789,16 @@ export type operations = {
     parameters: {
       query?: {
         /** @description Base models to include */
-        base_models?: components["schemas"]["BaseModelType"][] | null;
+        base_models?: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"][] | null;
         /** @description The type of model to get */
-        model_type?: components["schemas"]["ModelType"] | null;
+        model_type?: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"] | null;
       };
     };
     responses: {
       /** @description Successful Response */
       200: {
         content: {
-          "application/json": components["schemas"]["ModelsList"];
+          "application/json": components["schemas"]["invokeai__app__api__routers__models__ModelsList"];
         };
       };
       /** @description Validation Error */
@@ -9086,9 +9817,9 @@ export type operations = {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
         /** @description The type of model */
-        model_type: components["schemas"]["ModelType"];
+        model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
         /** @description model name */
         model_name: string;
       };
@@ -9118,9 +9849,9 @@ export type operations = {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
         /** @description The type of model */
-        model_type: components["schemas"]["ModelType"];
+        model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
         /** @description model name */
         model_name: string;
       };
@@ -9247,9 +9978,9 @@ export type operations = {
       };
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
         /** @description The type of model */
-        model_type: components["schemas"]["ModelType"];
+        model_type: components["schemas"]["invokeai__backend__model_management__models__base__ModelType"];
         /** @description model name */
         model_name: string;
       };
@@ -9341,7 +10072,7 @@ export type operations = {
     parameters: {
       path: {
         /** @description Base model */
-        base_model: components["schemas"]["BaseModelType"];
+        base_model: components["schemas"]["invokeai__backend__model_management__models__base__BaseModelType"];
       };
     };
     requestBody: {
@@ -9372,6 +10103,172 @@ export type operations = {
       };
     };
   };
+  /**
+   * List Model Records
+   * @description Get a list of models.
+   */
+  list_model_records: {
+    parameters: {
+      query?: {
+        /** @description Base models to include */
+        base_models?: components["schemas"]["invokeai__backend__model_manager__config__BaseModelType"][] | null;
+        /** @description The type of model to get */
+        model_type?: components["schemas"]["invokeai__backend__model_manager__config__ModelType"] | null;
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        content: {
+          "application/json": components["schemas"]["invokeai__app__api__routers__model_records__ModelsList"];
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Get Model Record
+   * @description Get a model record
+   */
+  get_model_record: {
+    parameters: {
+      path: {
+        /** @description Key of the model record to fetch. */
+        key: string;
+      };
+    };
+    responses: {
+      /** @description Success */
+      200: {
+        content: {
+          "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
+        };
+      };
+      /** @description Bad request */
+      400: {
+        content: never;
+      };
+      /** @description The model could not be found */
+      404: {
+        content: never;
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Del Model Record
+   * @description Delete Model
+   */
+  del_model_record: {
+    parameters: {
+      path: {
+        /** @description Unique key of model to remove from model registry. */
+        key: string;
+      };
+    };
+    responses: {
+      /** @description Model deleted successfully */
+      204: {
+        content: never;
+      };
+      /** @description Model not found */
+      404: {
+        content: never;
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Update Model Record
+   * @description Update model contents with a new config. If the model name or base fields are changed, then the model is renamed.
+   */
+  update_model_record: {
+    parameters: {
+      path: {
+        /** @description Unique key of model */
+        key: string;
+      };
+    };
+    requestBody: {
+      content: {
+        "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
+      };
+    };
+    responses: {
+      /** @description The model was updated successfully */
+      200: {
+        content: {
+          "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
+        };
+      };
+      /** @description Bad request */
+      400: {
+        content: never;
+      };
+      /** @description The model could not be found */
+      404: {
+        content: never;
+      };
+      /** @description There is already a model corresponding to the new name */
+      409: {
+        content: never;
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
+  /**
+   * Add Model Record
+   * @description Add a model using the configuration information appropriate for its type.
+   */
+  add_model_record: {
+    requestBody: {
+      content: {
+        "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
+      };
+    };
+    responses: {
+      /** @description The model added successfully */
+      201: {
+        content: {
+          "application/json": (components["schemas"]["MainDiffusersConfig"] | components["schemas"]["MainCheckpointConfig"]) | (components["schemas"]["ONNXSD1Config"] | components["schemas"]["ONNXSD2Config"]) | (components["schemas"]["VaeDiffusersConfig"] | components["schemas"]["VaeCheckpointConfig"]) | (components["schemas"]["ControlNetDiffusersConfig"] | components["schemas"]["ControlNetCheckpointConfig"]) | components["schemas"]["LoRAConfig"] | components["schemas"]["TextualInversionConfig"] | components["schemas"]["IPAdapterConfig"] | components["schemas"]["CLIPVisionDiffusersConfig"] | components["schemas"]["T2IConfig"];
+        };
+      };
+      /** @description There is already a model corresponding to this path or repo_id */
+      409: {
+        content: never;
+      };
+      /** @description Unrecognized file/folder format */
+      415: {
+        content: never;
+      };
+      /** @description Validation Error */
+      422: {
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
   /**
    * Upload Image
    * @description Uploads an image
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 526a4d6601..9038374912 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -48,9 +48,11 @@ export type OffsetPaginatedResults_ImageDTO_ =
   s['OffsetPaginatedResults_ImageDTO_'];
 
 // Models
-export type ModelType = s['ModelType'];
+export type ModelType =
+  s['invokeai__backend__model_management__models__base__ModelType'];
 export type SubModelType = s['SubModelType'];
-export type BaseModelType = s['BaseModelType'];
+export type BaseModelType =
+  s['invokeai__backend__model_management__models__base__BaseModelType'];
 export type MainModelField = s['MainModelField'];
 export type OnnxModelField = s['OnnxModelField'];
 export type VAEModelField = s['VAEModelField'];
@@ -58,7 +60,7 @@ export type LoRAModelField = s['LoRAModelField'];
 export type ControlNetModelField = s['ControlNetModelField'];
 export type IPAdapterModelField = s['IPAdapterModelField'];
 export type T2IAdapterModelField = s['T2IAdapterModelField'];
-export type ModelsList = s['ModelsList'];
+export type ModelsList = s['invokeai__app__api__routers__models__ModelsList'];
 export type ControlField = s['ControlField'];
 export type IPAdapterField = s['IPAdapterField'];