diff --git a/invokeai/app/invocations/flux_fill.py b/invokeai/app/invocations/flux_fill.py
index f3715cc06a..2602c7cf07 100644
--- a/invokeai/app/invocations/flux_fill.py
+++ b/invokeai/app/invocations/flux_fill.py
@@ -27,7 +27,7 @@ class FluxFillOutput(BaseInvocationOutput):
 
 @invocation(
     "flux_fill",
-    title="FLUX Fill",
+    title="FLUX Fill Conditioning",
     tags=["inpaint"],
     category="inpaint",
     version="1.0.0",
diff --git a/invokeai/app/invocations/flux_lora_loader.py b/invokeai/app/invocations/flux_lora_loader.py
index 58d1a92ea6..fe1e399676 100644
--- a/invokeai/app/invocations/flux_lora_loader.py
+++ b/invokeai/app/invocations/flux_lora_loader.py
@@ -28,10 +28,10 @@ class FluxLoRALoaderOutput(BaseInvocationOutput):
 
 @invocation(
     "flux_lora_loader",
-    title="FLUX LoRA",
+    title="Apply LoRA - FLUX",
     tags=["lora", "model", "flux"],
     category="model",
-    version="1.2.0",
+    version="1.2.1",
     classification=Classification.Prototype,
 )
 class FluxLoRALoaderInvocation(BaseInvocation):
@@ -107,10 +107,10 @@ class FluxLoRALoaderInvocation(BaseInvocation):
 
 @invocation(
     "flux_lora_collection_loader",
-    title="FLUX LoRA Collection Loader",
+    title="Apply LoRA Collection - FLUX",
     tags=["lora", "model", "flux"],
     category="model",
-    version="1.3.0",
+    version="1.3.1",
     classification=Classification.Prototype,
 )
 class FLUXLoRACollectionLoader(BaseInvocation):
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index ad11492559..2324b97985 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -1051,7 +1051,7 @@ class MaskFromIDInvocation(BaseInvocation, WithMetadata, WithBoard):
     tags=["image", "mask", "id"],
     category="image",
     version="1.0.0",
-    classification=Classification.Internal,
+    classification=Classification.Deprecated,
 )
 class CanvasV2MaskAndCropInvocation(BaseInvocation, WithMetadata, WithBoard):
     """Handles Canvas V2 image output masking and cropping"""
@@ -1089,6 +1089,112 @@ class CanvasV2MaskAndCropInvocation(BaseInvocation, WithMetadata, WithBoard):
         return ImageOutput.build(image_dto)
 
 
+@invocation(
+    "expand_mask_with_fade", title="Expand Mask with Fade", tags=["image", "mask"], category="image", version="1.0.0"
+)
+class ExpandMaskWithFadeInvocation(BaseInvocation, WithMetadata, WithBoard):
+    """Expands a mask with a fade effect. The mask uses black to indicate areas to keep from the generated image and white for areas to discard.
+    The mask is thresholded to create a binary mask, and then a distance transform is applied to create a fade effect.
+    The fade size is specified in pixels, and the mask is expanded by that amount. The result is a mask with a smooth transition from black to white.
+    """
+
+    mask: ImageField = InputField(description="The mask to expand")
+    threshold: int = InputField(default=0, ge=0, le=255, description="The threshold for the binary mask (0-255)")
+    fade_size_px: int = InputField(default=32, ge=0, description="The size of the fade in pixels")
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        pil_mask = context.images.get_pil(self.mask.image_name, mode="L")
+
+        np_mask = numpy.array(pil_mask)
+
+        # Threshold the mask to create a binary mask - 0 for black, 255 for white
+        # If we don't threshold we can get some weird artifacts
+        np_mask = numpy.where(np_mask > self.threshold, 255, 0).astype(numpy.uint8)
+
+        # Create a mask for the black region (1 where black, 0 otherwise)
+        black_mask = (np_mask == 0).astype(numpy.uint8)
+
+        # Invert the black region
+        bg_mask = 1 - black_mask
+
+        # Create a distance transform of the inverted mask
+        dist = cv2.distanceTransform(bg_mask, cv2.DIST_L2, 5)
+
+        # Normalize distances so that pixels <fade_size_px become a linear gradient (0 to 1)
+        d_norm = numpy.clip(dist / self.fade_size_px, 0, 1)
+
+        # Control points: x values (normalized distance) and corresponding fade pct y values.
+
+        # There are some magic numbers here that are used to create a smooth transition:
+        # - The first point is at 0% of fade size from edge of mask (meaning the edge of the mask), and is 0% fade (black)
+        # - The second point is 1px from the edge of the mask and also has 0% fade, effectively expanding the mask
+        #   by 1px. This fixes an issue where artifacts can occur at the edge of the mask
+        # - The third point is at 20% of the fade size from the edge of the mask and has 20% fade
+        # - The fourth point is at 80% of the fade size from the edge of the mask and has 90% fade
+        # - The last point is at 100% of the fade size from the edge of the mask and has 100% fade (white)
+
+        # x values: 0 = mask edge, 1 = fade_size_px from edge
+        x_control = numpy.array([0.0, 1.0 / self.fade_size_px, 0.2, 0.8, 1.0])
+        # y values: 0 = black, 1 = white
+        y_control = numpy.array([0.0, 0.0, 0.2, 0.9, 1.0])
+
+        # Fit a cubic polynomial that smoothly passes through the control points
+        coeffs = numpy.polyfit(x_control, y_control, 3)
+        poly = numpy.poly1d(coeffs)
+
+        # Evaluate and clip the smooth mapping
+        feather = numpy.clip(poly(d_norm), 0, 1)
+
+        # Build final image.
+        np_result = numpy.where(black_mask == 1, 0, (feather * 255).astype(numpy.uint8))
+
+        # Convert back to PIL, grayscale
+        pil_result = Image.fromarray(np_result.astype(numpy.uint8), mode="L")
+
+        image_dto = context.images.save(image=pil_result, image_category=ImageCategory.MASK)
+
+        return ImageOutput.build(image_dto)
+
+
+@invocation(
+    "apply_mask_to_image",
+    title="Apply Mask to Image",
+    tags=["image", "mask", "blend"],
+    category="image",
+    version="1.0.0",
+)
+class ApplyMaskToImageInvocation(BaseInvocation, WithMetadata, WithBoard):
+    """
+    Extracts a region from a generated image using a mask and blends it seamlessly onto a source image.
+    The mask uses black to indicate areas to keep from the generated image and white for areas to discard.
+    """
+
+    image: ImageField = InputField(description="The image from which to extract the masked region")
+    mask: ImageField = InputField(description="The mask defining the region (black=keep, white=discard)")
+    invert_mask: bool = InputField(
+        default=False,
+        description="Whether to invert the mask before applying it",
+    )
+
+    def invoke(self, context: InvocationContext) -> ImageOutput:
+        # Load images
+        image = context.images.get_pil(self.image.image_name, mode="RGBA")
+        mask = context.images.get_pil(self.mask.image_name, mode="L")
+
+        if self.invert_mask:
+            # Invert the mask if requested
+            mask = ImageOps.invert(mask.copy())
+
+        # Combine the mask as the alpha channel of the image
+        r, g, b, _ = image.split()  # Split the image into RGB and alpha channels
+        result_image = Image.merge("RGBA", (r, g, b, mask))  # Use the mask as the new alpha channel
+
+        # Save the resulting image
+        image_dto = context.images.save(image=result_image)
+
+        return ImageOutput.build(image_dto)
+
+
 @invocation(
     "img_noise",
     title="Add Image Noise",
diff --git a/invokeai/app/invocations/mask.py b/invokeai/app/invocations/mask.py
index 8edcbb1f94..c3456cdf18 100644
--- a/invokeai/app/invocations/mask.py
+++ b/invokeai/app/invocations/mask.py
@@ -67,7 +67,7 @@ class AlphaMaskToTensorInvocation(BaseInvocation):
     invert: bool = InputField(default=False, description="Whether to invert the mask.")
 
     def invoke(self, context: InvocationContext) -> MaskOutput:
-        image = context.images.get_pil(self.image.image_name)
+        image = context.images.get_pil(self.image.image_name, mode="RGBA")
         mask = torch.zeros((1, image.height, image.width), dtype=torch.bool)
         if self.invert:
             mask[0] = torch.tensor(np.array(image)[:, :, 3] == 0, dtype=torch.bool)
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index f6d3194cc3..8889074897 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -181,7 +181,7 @@ class LoRALoaderOutput(BaseInvocationOutput):
     clip: Optional[CLIPField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
 
 
-@invocation("lora_loader", title="LoRA", tags=["model"], category="model", version="1.0.3")
+@invocation("lora_loader", title="Apply LoRA - SD1.5", tags=["model"], category="model", version="1.0.4")
 class LoRALoaderInvocation(BaseInvocation):
     """Apply selected lora to unet and text_encoder."""
 
@@ -244,7 +244,7 @@ class LoRASelectorOutput(BaseInvocationOutput):
     lora: LoRAField = OutputField(description="LoRA model and weight", title="LoRA")
 
 
-@invocation("lora_selector", title="LoRA Model - SD1.5", tags=["model"], category="model", version="1.0.2")
+@invocation("lora_selector", title="Select LoRA", tags=["model"], category="model", version="1.0.3")
 class LoRASelectorInvocation(BaseInvocation):
     """Selects a LoRA model and weight."""
 
@@ -258,7 +258,7 @@ class LoRASelectorInvocation(BaseInvocation):
 
 
 @invocation(
-    "lora_collection_loader", title="LoRA Collection - SD1.5", tags=["model"], category="model", version="1.1.1"
+    "lora_collection_loader", title="Apply LoRA Collection - SD1.5", tags=["model"], category="model", version="1.1.2"
 )
 class LoRACollectionLoader(BaseInvocation):
     """Applies a collection of LoRAs to the provided UNet and CLIP models."""
@@ -322,10 +322,10 @@ class SDXLLoRALoaderOutput(BaseInvocationOutput):
 
 @invocation(
     "sdxl_lora_loader",
-    title="LoRA Model - SDXL",
+    title="Apply LoRA - SDXL",
     tags=["lora", "model"],
     category="model",
-    version="1.0.4",
+    version="1.0.5",
 )
 class SDXLLoRALoaderInvocation(BaseInvocation):
     """Apply selected lora to unet and text_encoder."""
@@ -402,10 +402,10 @@ class SDXLLoRALoaderInvocation(BaseInvocation):
 
 @invocation(
     "sdxl_lora_collection_loader",
-    title="LoRA Collection - SDXL",
+    title="Apply LoRA Collection - SDXL",
     tags=["model"],
     category="model",
-    version="1.1.1",
+    version="1.1.2",
 )
 class SDXLLoRACollectionLoader(BaseInvocation):
     """Applies a collection of SDXL LoRAs to the provided UNet and CLIP models."""
diff --git a/invokeai/backend/model_manager/legacy_probe.py b/invokeai/backend/model_manager/legacy_probe.py
index 74d4b4906a..b37136dfd7 100644
--- a/invokeai/backend/model_manager/legacy_probe.py
+++ b/invokeai/backend/model_manager/legacy_probe.py
@@ -563,14 +563,20 @@ class CheckpointProbeBase(ProbeBase):
 
         if base_type == BaseModelType.Flux:
             in_channels = state_dict["img_in.weight"].shape[1]
-            if in_channels == 64:
-                return ModelVariantType.Normal
-            elif in_channels == 384:
+
+            # FLUX Model variant types are distinguished by input channels:
+            # - Unquantized Dev and Schnell have in_channels=64
+            # - BNB-NF4 Dev and Schnell have in_channels=1
+            # - FLUX Fill has in_channels=384
+            # - Unsure of quantized FLUX Fill models
+            # - Unsure of GGUF-quantized models
+            if in_channels == 384:
+                # This is a FLUX Fill model. FLUX Fill needs special handling throughout the application. The variant
+                # type is used to determine whether to use the fill model or the base model.
                 return ModelVariantType.Inpaint
             else:
-                raise InvalidModelConfigException(
-                    f"Unexpected in_channels (in_channels={in_channels}) for FLUX model at {self.model_path}."
-                )
+                # Fall back on "normal" variant type for all other FLUX models.
+                return ModelVariantType.Normal
 
         in_channels = state_dict["model.diffusion_model.input_blocks.0.0.weight"].shape[1]
         if in_channels == 9:
diff --git a/invokeai/frontend/web/public/locales/de.json b/invokeai/frontend/web/public/locales/de.json
index 976abe2d64..c232ac641a 100644
--- a/invokeai/frontend/web/public/locales/de.json
+++ b/invokeai/frontend/web/public/locales/de.json
@@ -114,7 +114,9 @@
         "layout": "Layout",
         "board": "Ordner",
         "combinatorial": "Kombinatorisch",
-        "saveChanges": "Änderungen speichern"
+        "saveChanges": "Änderungen speichern",
+        "error_withCount_one": "{{count}} Fehler",
+        "error_withCount_other": "{{count}} Fehler"
     },
     "gallery": {
         "galleryImageSize": "Bildgröße",
@@ -764,10 +766,10 @@
         "layerCopiedToClipboard": "Ebene in die Zwischenablage kopiert",
         "sentToCanvas": "An Leinwand gesendet",
         "problemDeletingWorkflow": "Problem beim Löschen des Arbeitsablaufs",
-        "uploadFailedInvalidUploadDesc_withCount_one": "Es darf maximal 1 PNG- oder JPEG-Bild sein.",
-        "uploadFailedInvalidUploadDesc_withCount_other": "Es dürfen maximal {{count}} PNG- oder JPEG-Bilder sein.",
+        "uploadFailedInvalidUploadDesc_withCount_one": "Darf maximal 1 PNG-, JPEG- oder WEBP-Bild sein.",
+        "uploadFailedInvalidUploadDesc_withCount_other": "Dürfen maximal {{count}} PNG-, JPEG- oder WEBP-Bild sein.",
         "problemRetrievingWorkflow": "Problem beim Abrufen des Arbeitsablaufs",
-        "uploadFailedInvalidUploadDesc": "Müssen PNG- oder JPEG-Bilder sein.",
+        "uploadFailedInvalidUploadDesc": "Müssen PNG-, JPEG- oder WEBP-Bilder sein.",
         "pasteSuccess": "Eingefügt in {{destination}}",
         "pasteFailed": "Einfügen fehlgeschlagen",
         "unableToCopy": "Kopieren nicht möglich",
@@ -1259,7 +1261,6 @@
         "nodePack": "Knoten-Pack",
         "loadWorkflow": "Lade Workflow",
         "snapToGrid": "Am Gitternetz einrasten",
-        "unknownOutput": "Unbekannte Ausgabe: {{name}}",
         "updateNode": "Knoten updaten",
         "edge": "Rand / Kante",
         "sourceNodeDoesNotExist": "Ungültiger Rand: Quell- / Ausgabe-Knoten {{node}} existiert nicht",
@@ -1325,7 +1326,9 @@
         "description": "Beschreibung",
         "loadWorkflowDesc": "Arbeitsablauf laden?",
         "loadWorkflowDesc2": "Ihr aktueller Arbeitsablauf enthält nicht gespeicherte Änderungen.",
-        "loadingTemplates": "Lade {{name}}"
+        "loadingTemplates": "Lade {{name}}",
+        "missingSourceOrTargetHandle": "Fehlender Quell- oder Zielgriff",
+        "missingSourceOrTargetNode": "Fehlender Quell- oder Zielknoten"
     },
     "hrf": {
         "enableHrf": "Korrektur für hohe Auflösungen",
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 0a8a16d347..3c6e881042 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -194,7 +194,9 @@
         "combinatorial": "Combinatorial",
         "layout": "Layout",
         "row": "Row",
-        "column": "Column"
+        "column": "Column",
+        "value": "Value",
+        "label": "Label"
     },
     "hrf": {
         "hrf": "High Resolution Fix",
@@ -1014,7 +1016,10 @@
         "unknownNodeType": "Unknown node type",
         "unknownTemplate": "Unknown Template",
         "unknownInput": "Unknown input: {{name}}",
-        "unknownOutput": "Unknown output: {{name}}",
+        "missingField_withName": "Missing field \"{{name}}\"",
+        "unexpectedField_withName": "Unexpected field \"{{name}}\"",
+        "unknownField_withName": "Unknown field \"{{name}}\"",
+        "unknownFieldEditWorkflowToFix_withName": "Workflow contains an unknown field \"{{name}}\".\nEdit the workflow to fix the issue.",
         "updateNode": "Update Node",
         "updateApp": "Update App",
         "loadingTemplates": "Loading {{name}}",
@@ -1299,7 +1304,8 @@
         "problemDeletingWorkflow": "Problem Deleting Workflow",
         "unableToCopy": "Unable to Copy",
         "unableToCopyDesc": "Your browser does not support clipboard access. Firefox users may be able to fix this by following ",
-        "unableToCopyDesc_theseSteps": "these steps"
+        "unableToCopyDesc_theseSteps": "these steps",
+        "fluxFillIncompatibleWithT2IAndI2I": "FLUX Fill is not compatible with Text to Image or Image to Image. Use other FLUX models for these tasks."
     },
     "popovers": {
         "clipSkip": {
@@ -1740,6 +1746,7 @@
         "openLibrary": "Open Library",
         "workflowThumbnail": "Workflow Thumbnail",
         "saveChanges": "Save Changes",
+        "emptyStringPlaceholder": "<empty string>",
         "builder": {
             "deleteAllElements": "Delete All Form Elements",
             "resetAllNodeFields": "Reset All Node Fields",
@@ -1764,6 +1771,9 @@
             "singleLine": "Single Line",
             "multiLine": "Multi Line",
             "slider": "Slider",
+            "dropdown": "Dropdown",
+            "addOption": "Add Option",
+            "resetOptions": "Reset Options",
             "both": "Both",
             "emptyRootPlaceholderViewMode": "Click Edit to start building a form for this workflow.",
             "emptyRootPlaceholderEditMode": "Drag a form element or node field here to get started.",
@@ -1950,7 +1960,8 @@
             "rgNegativePromptNotSupported": "Negative Prompt not supported for selected base model",
             "rgReferenceImagesNotSupported": "regional Reference Images not supported for selected base model",
             "rgAutoNegativeNotSupported": "Auto-Negative not supported for selected base model",
-            "rgNoRegion": "no region drawn"
+            "rgNoRegion": "no region drawn",
+            "fluxFillIncompatibleWithControlLoRA": "Control LoRA is not compatible with FLUX Fill"
         },
         "errors": {
             "unableToFindImage": "Unable to find image",
@@ -2333,7 +2344,7 @@
         "whatsNewInInvoke": "What's New in Invoke",
         "items": [
             "Workflows: New and improved Workflow Library.",
-            "FLUX: Support for FLUX Redux in Workflows and Canvas."
+            "FLUX: Support for FLUX Redux & FLUX Fill in Workflows and Canvas."
         ],
         "readReleaseNotes": "Read Release Notes",
         "watchRecentReleaseVideos": "Watch Recent Release Videos",
diff --git a/invokeai/frontend/web/public/locales/fr.json b/invokeai/frontend/web/public/locales/fr.json
index b644f2bed3..1c95e7219b 100644
--- a/invokeai/frontend/web/public/locales/fr.json
+++ b/invokeai/frontend/web/public/locales/fr.json
@@ -1653,7 +1653,6 @@
         "collectionFieldType": "{{name}} (Collection)",
         "newWorkflow": "Nouveau Workflow",
         "reorderLinearView": "Réorganiser la vue linéaire",
-        "unknownOutput": "Sortie inconnue : {{name}}",
         "outputFieldTypeParseError": "Impossible d'analyser le type du champ de sortie {{node}}.{{field}} ({{message}})",
         "unsupportedMismatchedUnion": "type CollectionOrScalar non concordant avec les types de base {{firstType}} et {{secondType}}",
         "unableToParseFieldType": "impossible d'analyser le type de champ",
diff --git a/invokeai/frontend/web/public/locales/it.json b/invokeai/frontend/web/public/locales/it.json
index fe15b64dbe..c907db61bd 100644
--- a/invokeai/frontend/web/public/locales/it.json
+++ b/invokeai/frontend/web/public/locales/it.json
@@ -779,7 +779,8 @@
         "enableModelDescriptions": "Abilita le descrizioni dei modelli nei menu a discesa",
         "modelDescriptionsDisabled": "Descrizioni dei modelli nei menu a discesa disabilitate",
         "modelDescriptionsDisabledDesc": "Le descrizioni dei modelli nei menu a discesa sono state disabilitate. Abilitale nelle Impostazioni.",
-        "showDetailedInvocationProgress": "Mostra dettagli avanzamento"
+        "showDetailedInvocationProgress": "Mostra dettagli avanzamento",
+        "enableHighlightFocusedRegions": "Evidenzia le regioni interessate"
     },
     "toast": {
         "uploadFailed": "Caricamento fallito",
@@ -968,7 +969,6 @@
         "unableToGetWorkflowVersion": "Impossibile ottenere la versione dello schema del flusso di lavoro",
         "nodePack": "Pacchetto di nodi",
         "unableToExtractSchemaNameFromRef": "Impossibile estrarre il nome dello schema dal riferimento",
-        "unknownOutput": "Output sconosciuto: {{name}}",
         "unknownNodeType": "Tipo di nodo sconosciuto",
         "targetNodeDoesNotExist": "Connessione non valida: il nodo di destinazione/input {{node}} non esiste",
         "unknownFieldType": "$t(nodes.unknownField) tipo: {{type}}",
@@ -1776,7 +1776,9 @@
             "text": "Testo",
             "numberInput": "Ingresso numerico",
             "containerRowLayout": "Contenitore (disposizione riga)",
-            "containerColumnLayout": "Contenitore (disposizione colonna)"
+            "containerColumnLayout": "Contenitore (disposizione colonna)",
+            "minimum": "Minimo",
+            "maximum": "Massimo"
         },
         "loadMore": "Carica altro",
         "searchPlaceholder": "Cerca per nome, descrizione o etichetta",
@@ -1791,7 +1793,8 @@
         "private": "Privato",
         "deselectAll": "Deseleziona tutto",
         "noRecentWorkflows": "Nessun flusso di lavoro recente",
-        "view": "Visualizza"
+        "view": "Visualizza",
+        "recommended": "Consigliato per te"
     },
     "accordions": {
         "compositing": {
@@ -2350,8 +2353,8 @@
         "watchRecentReleaseVideos": "Guarda i video su questa versione",
         "watchUiUpdatesOverview": "Guarda le novità dell'interfaccia",
         "items": [
-            "Gestione della memoria: nuova impostazione per gli utenti con GPU Nvidia per ridurre l'utilizzo della VRAM.",
-            "Prestazioni: continui miglioramenti alle prestazioni e alla reattività complessive dell'applicazione."
+            "Flussi di lavoro: nuova e migliorata libreria dei flussi di lavoro.",
+            "FLUX: supporto per FLUX Redux in Flussi di lavoro e Tela."
         ]
     },
     "system": {
diff --git a/invokeai/frontend/web/public/locales/nl.json b/invokeai/frontend/web/public/locales/nl.json
index bf1f8cee03..99664c519c 100644
--- a/invokeai/frontend/web/public/locales/nl.json
+++ b/invokeai/frontend/web/public/locales/nl.json
@@ -425,7 +425,6 @@
         "newWorkflow": "Nieuwe werkstroom",
         "unknownErrorValidatingWorkflow": "Onbekende fout bij valideren werkstroom",
         "unsupportedAnyOfLength": "te veel union-leden ({{count}})",
-        "unknownOutput": "Onbekende uitvoer: {{name}}",
         "viewMode": "Gebruik in lineaire weergave",
         "unableToExtractSchemaNameFromRef": "fout bij het extraheren van de schemanaam via de ref",
         "unsupportedMismatchedUnion": "niet-overeenkomende soort CollectionOrScalar met basissoorten {{firstType}} en {{secondType}}",
diff --git a/invokeai/frontend/web/public/locales/ru.json b/invokeai/frontend/web/public/locales/ru.json
index a1c434ad68..5df7dcf13b 100644
--- a/invokeai/frontend/web/public/locales/ru.json
+++ b/invokeai/frontend/web/public/locales/ru.json
@@ -879,7 +879,6 @@
         "unableToExtractSchemaNameFromRef": "невозможно извлечь имя схемы из ссылки",
         "executionStateError": "Ошибка",
         "prototypeDesc": "Этот вызов является прототипом. Он может претерпевать изменения при обновлении приложения и может быть удален в любой момент.",
-        "unknownOutput": "Неизвестный вывод: {{name}}",
         "executionStateCompleted": "Выполнено",
         "node": "Узел",
         "workflowAuthor": "Автор",
diff --git a/invokeai/frontend/web/public/locales/vi.json b/invokeai/frontend/web/public/locales/vi.json
index d76ab4d4f2..4977cae43a 100644
--- a/invokeai/frontend/web/public/locales/vi.json
+++ b/invokeai/frontend/web/public/locales/vi.json
@@ -236,7 +236,8 @@
         "layout": "Bố Cục",
         "row": "Hàng",
         "board": "Bảng",
-        "saveChanges": "Lưu Thay Đổi"
+        "saveChanges": "Lưu Thay Đổi",
+        "error_withCount_other": "{{count}} lỗi"
     },
     "prompt": {
         "addPromptTrigger": "Thêm Prompt Trigger",
@@ -769,7 +770,8 @@
         "urlForbiddenErrorMessage": "Bạn có thể cần yêu cầu quyền truy cập từ trang web đang cung cấp model.",
         "urlUnauthorizedErrorMessage": "Bạn có thể cần thiếp lập một token API để dùng được model này.",
         "fluxRedux": "FLUX Redux",
-        "sigLip": "SigLIP"
+        "sigLip": "SigLIP",
+        "llavaOnevision": "LLaVA OneVision"
     },
     "metadata": {
         "guidance": "Hướng Dẫn",
@@ -892,7 +894,6 @@
         "targetNodeFieldDoesNotExist": "Kết nối không phù hợp: đích đến/đầu vào của vùng {{node}}.{{field}} không tồn tại",
         "missingTemplate": "Node không hợp lệ: node {{node}} thuộc loại {{type}} bị thiếu mẫu trình bày (chưa tải?)",
         "unsupportedMismatchedUnion": "Dạng số lượng dữ liệu không khớp với {{firstType}} và {{secondType}}",
-        "unknownOutput": "Đầu Ra Không Rõ: {{name}}",
         "betaDesc": "Trình kích hoạt này vẫn trong giai đoạn beta. Cho đến khi ổn định, nó có thể phá hỏng thay đổi trong khi cập nhật ứng dụng. Chúng tôi dự định hỗ trợ trình kích hoạt này về lâu dài.",
         "cannotConnectInputToInput": "Không thế kết nối đầu vào với đầu vào",
         "showEdgeLabelsHelp": "Hiển thị tên trên kết nối, chỉ ra những node được kết nối",
@@ -1618,7 +1619,8 @@
         "displayInProgress": "Hiển Thị Hình Ảnh Đang Xử Lý",
         "intermediatesClearedFailed": "Có Vấn Đề Khi Dọn Sạch Sản Phẩm Trung Gian",
         "enableInvisibleWatermark": "Bật Chế Độ Ẩn Watermark",
-        "showDetailedInvocationProgress": "Hiện Dữ Liệu Xử Lý"
+        "showDetailedInvocationProgress": "Hiện Dữ Liệu Xử Lý",
+        "enableHighlightFocusedRegions": "Nhấn Mạnh Khu Vực Chỉ Định"
     },
     "sdxl": {
         "loading": "Đang Tải...",
@@ -2288,7 +2290,11 @@
             "container": "Hộp Chứa",
             "heading": "Đầu Dòng",
             "text": "Văn Bản",
-            "divider": "Gạch Chia"
+            "divider": "Gạch Chia",
+            "minimum": "Tối Thiểu",
+            "maximum": "Tối Đa",
+            "containerRowLayout": "Hộp Chứa (bố cục hàng)",
+            "containerColumnLayout": "Hộp Chứa (bố cục cột)"
         },
         "yourWorkflows": "Workflow Của Bạn",
         "browseWorkflows": "Khám Phá Workflow",
@@ -2300,7 +2306,11 @@
         "filterByTags": "Lọc Theo Nhãn",
         "recentlyOpened": "Mở Gần Đây",
         "private": "Cá Nhân",
-        "loadMore": "Tải Thêm"
+        "loadMore": "Tải Thêm",
+        "view": "Xem",
+        "deselectAll": "Huỷ Chọn Tất Cả",
+        "noRecentWorkflows": "Không Có Workflows Gần Đây",
+        "recommended": "Có Thể Bạn Sẽ Cần"
     },
     "upscaling": {
         "missingUpscaleInitialImage": "Thiếu ảnh dùng để upscale",
@@ -2327,7 +2337,8 @@
         "gettingStartedSeries": "Cần thêm hướng dẫn? Xem thử <LinkComponent>Bắt Đầu Làm Quen</LinkComponent> để biết thêm mẹo khai thác toàn bộ tiềm năng của Invoke Studio.",
         "toGetStarted": "Để bắt đầu, hãy nhập lệnh vào hộp và nhấp chuột vào <StrongComponent>Kích Hoạt</StrongComponent> để tạo ra bức ảnh đầu tiên. Chọn một mẫu trình bày cho lệnh để cải thiện kết quả. Bạn có thể chọn để lưu ảnh trực tiếp vào <StrongComponent>Thư Viện Ảnh</StrongComponent> hoặc chỉnh sửa chúng ở <StrongComponent>Canvas</StrongComponent>.",
         "noModelsInstalled": "Dường như bạn chưa tải model nào cả! Bạn có thể <DownloadStarterModelsButton>tải xuống các model khởi đầu</DownloadStarterModelsButton> hoặc <ImportModelsButton>nhập vào thêm model</ImportModelsButton>.",
-        "lowVRAMMode": "Cho hiệu suất tốt nhất, hãy làm theo <LinkComponent>hướng dẫn VRAM Thấp</LinkComponent> của chúng tôi."
+        "lowVRAMMode": "Cho hiệu suất tốt nhất, hãy làm theo <LinkComponent>hướng dẫn VRAM Thấp</LinkComponent> của chúng tôi.",
+        "toGetStartedWorkflow": "Để bắt đầu, hãy điền vào khu vực bên trái và bấm <StrongComponent>Kích Hoạt</StrongComponent> nhằm tạo sinh ảnh. Muốn khám phá thêm workflow? Nhấp vào <StrongComponent>icon thư mục</StrongComponent> nằm cạnh tiêu đề workflow để xem một dãy các mẫu trình bày khác."
     },
     "whatsNew": {
         "whatsNewInInvoke": "Có Gì Mới Ở Invoke",
@@ -2335,8 +2346,8 @@
         "watchRecentReleaseVideos": "Xem Video Phát Hành Mới Nhất",
         "watchUiUpdatesOverview": "Xem Tổng Quan Về Những Cập Nhật Cho Giao Diện Người Dùng",
         "items": [
-            "Trình Quản Lý Bộ Nhớ: Thiết lập mới cho người dùng với GPU Nvidia để giảm lượng VRAM sử dụng.",
-            "Hiệu suất: Các cải thiện tiếp theo nhằm gói gọn hiệu suất và khả năng phản hồi của ứng dụng."
+            "Workflow: Thư Viện Workflow mới và đã được cải tiến.",
+            "FLUX: Hỗ trợ FLUX Redux trong Workflow và Canvas."
         ]
     },
     "upsell": {
diff --git a/invokeai/frontend/web/public/locales/zh_CN.json b/invokeai/frontend/web/public/locales/zh_CN.json
index 51a6cb2e08..bfcb97ce35 100644
--- a/invokeai/frontend/web/public/locales/zh_CN.json
+++ b/invokeai/frontend/web/public/locales/zh_CN.json
@@ -908,7 +908,6 @@
         "unableToGetWorkflowVersion": "无法获取工作流架构版本",
         "nodePack": "节点包",
         "unableToExtractSchemaNameFromRef": "无法从参考中提取架构名",
-        "unknownOutput": "未知输出：{{name}}",
         "unknownErrorValidatingWorkflow": "验证工作流时出现未知错误",
         "collectionFieldType": "{{name}}(合集)",
         "unknownNodeType": "未知节点类型",
diff --git a/invokeai/frontend/web/src/features/controlLayers/components/common/CanvasEntityHeaderWarnings.tsx b/invokeai/frontend/web/src/features/controlLayers/components/common/CanvasEntityHeaderWarnings.tsx
index d940d00d61..ea61e9e30a 100644
--- a/invokeai/frontend/web/src/features/controlLayers/components/common/CanvasEntityHeaderWarnings.tsx
+++ b/invokeai/frontend/web/src/features/controlLayers/components/common/CanvasEntityHeaderWarnings.tsx
@@ -4,7 +4,6 @@ import { EMPTY_ARRAY } from 'app/store/constants';
 import { useAppSelector } from 'app/store/storeHooks';
 import { useEntityIdentifierContext } from 'features/controlLayers/contexts/EntityIdentifierContext';
 import { useEntityIsEnabled } from 'features/controlLayers/hooks/useEntityIsEnabled';
-import { selectModel } from 'features/controlLayers/store/paramsSlice';
 import { selectCanvasSlice, selectEntityOrThrow } from 'features/controlLayers/store/selectors';
 import type { CanvasEntityIdentifier } from 'features/controlLayers/store/types';
 import {
@@ -19,11 +18,12 @@ import { upperFirst } from 'lodash-es';
 import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { PiWarningBold } from 'react-icons/pi';
+import { selectMainModelConfig } from 'services/api/endpoints/models';
 import type { Equals } from 'tsafe';
 import { assert } from 'tsafe';
 
 const buildSelectWarnings = (entityIdentifier: CanvasEntityIdentifier, t: TFunction) => {
-  return createSelector(selectCanvasSlice, selectModel, (canvas, model) => {
+  return createSelector(selectCanvasSlice, selectMainModelConfig, (canvas, model) => {
     // This component is used within a <CanvasEntityStateGate /> so we can safely assume that the entity exists.
     // Should never throw.
     const entity = selectEntityOrThrow(canvas, entityIdentifier, 'CanvasEntityHeaderWarnings');
diff --git a/invokeai/frontend/web/src/features/controlLayers/store/validators.ts b/invokeai/frontend/web/src/features/controlLayers/store/validators.ts
index 6ec86e000c..425dab23ff 100644
--- a/invokeai/frontend/web/src/features/controlLayers/store/validators.ts
+++ b/invokeai/frontend/web/src/features/controlLayers/store/validators.ts
@@ -5,7 +5,7 @@ import type {
   CanvasReferenceImageState,
   CanvasRegionalGuidanceState,
 } from 'features/controlLayers/store/types';
-import type { ParameterModel } from 'features/parameters/types/parameterSchemas';
+import type { MainModelConfig } from 'services/api/types';
 
 const WARNINGS = {
   UNSUPPORTED_MODEL: 'controlLayers.warnings.unsupportedModel',
@@ -20,13 +20,14 @@ const WARNINGS = {
   CONTROL_ADAPTER_NO_MODEL_SELECTED: 'controlLayers.warnings.controlAdapterNoModelSelected',
   CONTROL_ADAPTER_INCOMPATIBLE_BASE_MODEL: 'controlLayers.warnings.controlAdapterIncompatibleBaseModel',
   CONTROL_ADAPTER_NO_CONTROL: 'controlLayers.warnings.controlAdapterNoControl',
+  FLUX_FILL_NO_WORKY_WITH_CONTROL_LORA: 'controlLayers.warnings.fluxFillIncompatibleWithControlLoRA',
 } as const;
 
 type WarningTKey = (typeof WARNINGS)[keyof typeof WARNINGS];
 
 export const getRegionalGuidanceWarnings = (
   entity: CanvasRegionalGuidanceState,
-  model: ParameterModel | null
+  model: MainModelConfig | null | undefined
 ): WarningTKey[] => {
   const warnings: WarningTKey[] = [];
 
@@ -78,7 +79,7 @@ export const getRegionalGuidanceWarnings = (
 
 export const getGlobalReferenceImageWarnings = (
   entity: CanvasReferenceImageState,
-  model: ParameterModel | null
+  model: MainModelConfig | null | undefined
 ): WarningTKey[] => {
   const warnings: WarningTKey[] = [];
 
@@ -110,7 +111,7 @@ export const getGlobalReferenceImageWarnings = (
 
 export const getControlLayerWarnings = (
   entity: CanvasControlLayerState,
-  model: ParameterModel | null
+  model: MainModelConfig | null | undefined
 ): WarningTKey[] => {
   const warnings: WarningTKey[] = [];
 
@@ -129,6 +130,13 @@ export const getControlLayerWarnings = (
     } else if (entity.controlAdapter.model.base !== model.base) {
       // Supported model architecture but doesn't match
       warnings.push(WARNINGS.CONTROL_ADAPTER_INCOMPATIBLE_BASE_MODEL);
+    } else if (
+      model.base === 'flux' &&
+      model.variant === 'inpaint' &&
+      entity.controlAdapter.model.type === 'control_lora'
+    ) {
+      // FLUX inpaint variants are FLUX Fill models - not compatible w/ Control LoRA
+      warnings.push(WARNINGS.FLUX_FILL_NO_WORKY_WITH_CONTROL_LORA);
     }
   }
 
@@ -137,7 +145,7 @@ export const getControlLayerWarnings = (
 
 export const getRasterLayerWarnings = (
   _entity: CanvasRasterLayerState,
-  _model: ParameterModel | null
+  _model: MainModelConfig | null | undefined
 ): WarningTKey[] => {
   const warnings: WarningTKey[] = [];
 
@@ -148,7 +156,7 @@ export const getRasterLayerWarnings = (
 
 export const getInpaintMaskWarnings = (
   _entity: CanvasInpaintMaskState,
-  _model: ParameterModel | null
+  _model: MainModelConfig | null | undefined
 ): WarningTKey[] => {
   const warnings: WarningTKey[] = [];
 
diff --git a/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts b/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts
index 4bd2436c0b..05feddcb77 100644
--- a/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts
+++ b/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts
@@ -42,8 +42,7 @@ export class InvalidModelConfigError extends Error {
 export const fetchModelConfig = async (key: string): Promise<AnyModelConfig> => {
   const { dispatch } = getStore();
   try {
-    const req = dispatch(modelsApi.endpoints.getModelConfig.initiate(key));
-    req.unsubscribe();
+    const req = dispatch(modelsApi.endpoints.getModelConfig.initiate(key, { subscribe: false }));
     return await req.unwrap();
   } catch {
     throw new ModelConfigNotFoundError(`Unable to retrieve model config for key ${key}`);
@@ -62,8 +61,9 @@ export const fetchModelConfig = async (key: string): Promise<AnyModelConfig> =>
 const fetchModelConfigByAttrs = async (name: string, base: BaseModelType, type: ModelType): Promise<AnyModelConfig> => {
   const { dispatch } = getStore();
   try {
-    const req = dispatch(modelsApi.endpoints.getModelConfigByAttrs.initiate({ name, base, type }));
-    req.unsubscribe();
+    const req = dispatch(
+      modelsApi.endpoints.getModelConfigByAttrs.initiate({ name, base, type }, { subscribe: false })
+    );
     return await req.unwrap();
   } catch {
     throw new ModelConfigNotFoundError(`Unable to retrieve model config for name/base/type ${name}/${base}/${type}`);
diff --git a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx
index c4f1ba380f..3338b008ed 100644
--- a/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx
+++ b/invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelManagerPanel/ModelTypeFilter.tsx
@@ -25,7 +25,7 @@ export const ModelTypeFilter = memo(() => {
       clip_vision: 'CLIP Vision',
       spandrel_image_to_image: t('modelManager.spandrelImageToImage'),
       control_lora: t('modelManager.controlLora'),
-      siglip: t('modelManager.siglip'),
+      siglip: t('modelManager.sigLip'),
       flux_redux: t('modelManager.fluxRedux'),
       llava_onevision: t('modelManager.llavaOnevision'),
     }),
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldDescriptionPopover.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldDescriptionPopover.tsx
index c336456613..cf832ef610 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldDescriptionPopover.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldDescriptionPopover.tsx
@@ -8,7 +8,7 @@ import {
   Textarea,
 } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
-import { useInputFieldDescription } from 'features/nodes/hooks/useInputFieldDescription';
+import { useInputFieldDescriptionSafe } from 'features/nodes/hooks/useInputFieldDescriptionSafe';
 import { fieldDescriptionChanged } from 'features/nodes/store/nodesSlice';
 import { NO_DRAG_CLASS, NO_PAN_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
 import type { ChangeEvent } from 'react';
@@ -48,7 +48,7 @@ InputFieldDescriptionPopover.displayName = 'InputFieldDescriptionPopover';
 const Content = memo(({ nodeId, fieldName }: Props) => {
   const dispatch = useAppDispatch();
   const { t } = useTranslation();
-  const description = useInputFieldDescription(nodeId, fieldName);
+  const description = useInputFieldDescriptionSafe(nodeId, fieldName);
   const onChange = useCallback(
     (e: ChangeEvent<HTMLTextAreaElement>) => {
       dispatch(fieldDescriptionChanged({ nodeId, fieldName, val: e.target.value }));
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldEditModeNodes.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldEditModeNodes.tsx
index ccc2a2fb85..34b1373853 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldEditModeNodes.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldEditModeNodes.tsx
@@ -7,7 +7,7 @@ import { InputFieldResetToDefaultValueIconButton } from 'features/nodes/componen
 import { useNodeFieldDnd } from 'features/nodes/components/sidePanel/builder/dnd-hooks';
 import { useInputFieldIsConnected } from 'features/nodes/hooks/useInputFieldIsConnected';
 import { useInputFieldIsInvalid } from 'features/nodes/hooks/useInputFieldIsInvalid';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { NO_DRAG_CLASS } from 'features/nodes/types/constants';
 import type { FieldInputTemplate } from 'features/nodes/types/field';
 import { memo, useRef } from 'react';
@@ -22,7 +22,7 @@ interface Props {
 }
 
 export const InputFieldEditModeNodes = memo(({ nodeId, fieldName }: Props) => {
-  const fieldTemplate = useInputFieldTemplate(nodeId, fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(nodeId, fieldName);
   const isInvalid = useInputFieldIsInvalid(nodeId, fieldName);
   const isConnected = useInputFieldIsConnected(nodeId, fieldName);
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate.tsx
index 5f43fc2977..1adee688cb 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate.tsx
@@ -1,23 +1,83 @@
-import { InputFieldUnknownPlaceholder } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldUnknownPlaceholder';
+import { Flex, Text } from '@invoke-ai/ui-library';
+import { InputFieldWrapper } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldWrapper';
 import { useInputFieldInstanceExists } from 'features/nodes/hooks/useInputFieldInstanceExists';
+import { useInputFieldNameSafe } from 'features/nodes/hooks/useInputFieldNameSafe';
 import { useInputFieldTemplateExists } from 'features/nodes/hooks/useInputFieldTemplateExists';
-import type { PropsWithChildren } from 'react';
-import { memo } from 'react';
+import type { PropsWithChildren, ReactNode } from 'react';
+import { memo, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type Props = PropsWithChildren<{
   nodeId: string;
   fieldName: string;
+  fallback?: ReactNode;
+  formatLabel?: (name: string) => string;
 }>;
 
-export const InputFieldGate = memo(({ nodeId, fieldName, children }: Props) => {
+export const InputFieldGate = memo(({ nodeId, fieldName, children, fallback, formatLabel }: Props) => {
   const hasInstance = useInputFieldInstanceExists(nodeId, fieldName);
   const hasTemplate = useInputFieldTemplateExists(nodeId, fieldName);
 
   if (!hasTemplate || !hasInstance) {
-    return <InputFieldUnknownPlaceholder nodeId={nodeId} fieldName={fieldName} />;
+    // fallback may be null, indicating we should render nothing at all - must check for undefined explicitly
+    if (fallback !== undefined) {
+      return fallback;
+    }
+    return (
+      <Fallback
+        nodeId={nodeId}
+        fieldName={fieldName}
+        formatLabel={formatLabel}
+        hasInstance={hasInstance}
+        hasTemplate={hasTemplate}
+      />
+    );
   }
 
   return children;
 });
 
 InputFieldGate.displayName = 'InputFieldGate';
+
+const Fallback = memo(
+  ({
+    nodeId,
+    fieldName,
+    formatLabel,
+    hasTemplate,
+    hasInstance,
+  }: {
+    nodeId: string;
+    fieldName: string;
+    formatLabel?: (name: string) => string;
+    hasTemplate: boolean;
+    hasInstance: boolean;
+  }) => {
+    const { t } = useTranslation();
+    const name = useInputFieldNameSafe(nodeId, fieldName);
+    const label = useMemo(() => {
+      if (formatLabel) {
+        return formatLabel(name);
+      }
+      if (hasTemplate && !hasInstance) {
+        return t('nodes.missingField_withName', { name });
+      }
+      if (!hasTemplate && hasInstance) {
+        return t('nodes.unexpectedField_withName', { name });
+      }
+      return t('nodes.unknownField_withName', { name });
+    }, [formatLabel, hasInstance, hasTemplate, name, t]);
+
+    return (
+      <InputFieldWrapper>
+        <Flex w="full" px={1} py={1} justifyContent="center">
+          <Text fontWeight="semibold" color="error.300" whiteSpace="pre" textAlign="center">
+            {label}
+          </Text>
+        </Flex>
+      </InputFieldWrapper>
+    );
+  }
+);
+
+Fallback.displayName = 'Fallback';
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldHandle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldHandle.tsx
index 6fdfe7a144..d25664070e 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldHandle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldHandle.tsx
@@ -7,7 +7,7 @@ import {
   useIsConnectionInProgress,
   useIsConnectionStartField,
 } from 'features/nodes/hooks/useFieldConnectionState';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { useFieldTypeName } from 'features/nodes/hooks/usePrettyFieldType';
 import { HANDLE_TOOLTIP_OPEN_DELAY } from 'features/nodes/types/constants';
 import type { FieldInputTemplate } from 'features/nodes/types/field';
@@ -62,7 +62,7 @@ const handleStyles = {
 } satisfies CSSProperties;
 
 export const InputFieldHandle = memo(({ nodeId, fieldName }: Props) => {
-  const fieldTemplate = useInputFieldTemplate(nodeId, fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(nodeId, fieldName);
   const fieldTypeName = useFieldTypeName(fieldTemplate.type);
   const fieldColor = useMemo(() => getFieldColor(fieldTemplate.type), [fieldTemplate.type]);
   const isModelField = useMemo(() => isModelFieldType(fieldTemplate.type), [fieldTemplate.type]);
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
index 1255f3465b..6761130e9b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer.tsx
@@ -13,10 +13,11 @@ import { StringGeneratorFieldInputComponent } from 'features/nodes/components/fl
 import { IntegerFieldInput } from 'features/nodes/components/flow/nodes/Invocation/fields/IntegerField/IntegerFieldInput';
 import { IntegerFieldInputAndSlider } from 'features/nodes/components/flow/nodes/Invocation/fields/IntegerField/IntegerFieldInputAndSlider';
 import { IntegerFieldSlider } from 'features/nodes/components/flow/nodes/Invocation/fields/IntegerField/IntegerFieldSlider';
+import { StringFieldDropdown } from 'features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldDropdown';
 import { StringFieldInput } from 'features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldInput';
 import { StringFieldTextarea } from 'features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldTextarea';
 import { useInputFieldInstance } from 'features/nodes/hooks/useInputFieldInstance';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import {
   isBoardFieldInputInstance,
   isBoardFieldInputTemplate,
@@ -135,7 +136,7 @@ type Props = {
 
 export const InputFieldRenderer = memo(({ nodeId, fieldName, settings }: Props) => {
   const field = useInputFieldInstance(nodeId, fieldName);
-  const template = useInputFieldTemplate(nodeId, fieldName);
+  const template = useInputFieldTemplateOrThrow(nodeId, fieldName);
 
   // When deciding which component to render, first we check the type of the template, which is more efficient than the
   // instance type check. The instance type check uses zod and is slower.
@@ -151,7 +152,7 @@ export const InputFieldRenderer = memo(({ nodeId, fieldName, settings }: Props)
     if (!isStringFieldInputInstance(field)) {
       return null;
     }
-    if (settings?.type !== 'string-field-config') {
+    if (!settings || settings.type !== 'string-field-config') {
       if (template.ui_component === 'textarea') {
         return <StringFieldTextarea nodeId={nodeId} field={field} fieldTemplate={template} />;
       } else {
@@ -162,8 +163,10 @@ export const InputFieldRenderer = memo(({ nodeId, fieldName, settings }: Props)
       return <StringFieldInput nodeId={nodeId} field={field} fieldTemplate={template} />;
     } else if (settings.component === 'textarea') {
       return <StringFieldTextarea nodeId={nodeId} field={field} fieldTemplate={template} />;
+    } else if (settings.component === 'dropdown') {
+      return <StringFieldDropdown nodeId={nodeId} field={field} fieldTemplate={template} settings={settings} />;
     } else {
-      assert<Equals<never, typeof settings.component>>(false, 'Unexpected settings.component');
+      assert<Equals<never, typeof settings>>(false, 'Unexpected settings');
     }
   }
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTitle.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTitle.tsx
index 4c73b3aac7..f1da09d43b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTitle.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTitle.tsx
@@ -9,7 +9,7 @@ import {
   useIsConnectionStartField,
 } from 'features/nodes/hooks/useFieldConnectionState';
 import { useInputFieldIsConnected } from 'features/nodes/hooks/useInputFieldIsConnected';
-import { useInputFieldLabel } from 'features/nodes/hooks/useInputFieldLabel';
+import { useInputFieldLabelSafe } from 'features/nodes/hooks/useInputFieldLabelSafe';
 import { useInputFieldTemplateTitle } from 'features/nodes/hooks/useInputFieldTemplateTitle';
 import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
 import { HANDLE_TOOLTIP_OPEN_DELAY, NO_FIT_ON_DOUBLE_CLICK_CLASS } from 'features/nodes/types/constants';
@@ -43,7 +43,7 @@ interface Props {
 export const InputFieldTitle = memo((props: Props) => {
   const { nodeId, fieldName, isInvalid, isDragging } = props;
   const inputRef = useRef<HTMLInputElement>(null);
-  const label = useInputFieldLabel(nodeId, fieldName);
+  const label = useInputFieldLabelSafe(nodeId, fieldName);
   const fieldTemplateTitle = useInputFieldTemplateTitle(nodeId, fieldName);
   const { t } = useTranslation();
   const isConnected = useInputFieldIsConnected(nodeId, fieldName);
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTooltipContent.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTooltipContent.tsx
index f83454ffd9..e456f771aa 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTooltipContent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldTooltipContent.tsx
@@ -1,7 +1,7 @@
 import { Flex, ListItem, Text, UnorderedList } from '@invoke-ai/ui-library';
 import { useInputFieldErrors } from 'features/nodes/hooks/useInputFieldErrors';
 import { useInputFieldInstance } from 'features/nodes/hooks/useInputFieldInstance';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { useFieldTypeName } from 'features/nodes/hooks/usePrettyFieldType';
 import { startCase } from 'lodash-es';
 import { memo, useMemo } from 'react';
@@ -16,7 +16,7 @@ export const InputFieldTooltipContent = memo(({ nodeId, fieldName }: Props) => {
   const { t } = useTranslation();
 
   const fieldInstance = useInputFieldInstance(nodeId, fieldName);
-  const fieldTemplate = useInputFieldTemplate(nodeId, fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(nodeId, fieldName);
   const fieldTypeName = useFieldTypeName(fieldTemplate.type);
   const fieldErrors = useInputFieldErrors(nodeId, fieldName);
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldUnknownPlaceholder.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldUnknownPlaceholder.tsx
deleted file mode 100644
index 615034ea32..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/InputFieldUnknownPlaceholder.tsx
+++ /dev/null
@@ -1,27 +0,0 @@
-import { FormControl, FormLabel } from '@invoke-ai/ui-library';
-import { InputFieldWrapper } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldWrapper';
-import { useInputFieldName } from 'features/nodes/hooks/useInputFieldName';
-import { memo } from 'react';
-import { useTranslation } from 'react-i18next';
-
-type Props = {
-  nodeId: string;
-  fieldName: string;
-};
-
-export const InputFieldUnknownPlaceholder = memo(({ nodeId, fieldName }: Props) => {
-  const { t } = useTranslation();
-  const name = useInputFieldName(nodeId, fieldName);
-
-  return (
-    <InputFieldWrapper>
-      <FormControl isInvalid={true} alignItems="stretch" justifyContent="center" gap={2} h="full" w="full">
-        <FormLabel display="flex" mb={0} px={1} py={2} gap={2}>
-          {t('nodes.unknownInput', { name })}
-        </FormLabel>
-      </FormControl>
-    </InputFieldWrapper>
-  );
-});
-
-InputFieldUnknownPlaceholder.displayName = 'InputFieldUnknownPlaceholder';
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldGate.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldGate.tsx
index 2b50e35706..85b01fdae9 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldGate.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldGate.tsx
@@ -1,7 +1,10 @@
-import { OutputFieldUnknownPlaceholder } from 'features/nodes/components/flow/nodes/Invocation/fields/OutputFieldUnknownPlaceholder';
+import { FormControl, FormLabel } from '@invoke-ai/ui-library';
+import { OutputFieldWrapper } from 'features/nodes/components/flow/nodes/Invocation/fields/OutputFieldWrapper';
+import { useOutputFieldName } from 'features/nodes/hooks/useOutputFieldName';
 import { useOutputFieldTemplateExists } from 'features/nodes/hooks/useOutputFieldTemplateExists';
 import type { PropsWithChildren } from 'react';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 type Props = PropsWithChildren<{
   nodeId: string;
@@ -12,10 +15,27 @@ export const OutputFieldGate = memo(({ nodeId, fieldName, children }: Props) =>
   const hasTemplate = useOutputFieldTemplateExists(nodeId, fieldName);
 
   if (!hasTemplate) {
-    return <OutputFieldUnknownPlaceholder nodeId={nodeId} fieldName={fieldName} />;
+    return <Fallback nodeId={nodeId} fieldName={fieldName} />;
   }
 
   return children;
 });
 
 OutputFieldGate.displayName = 'OutputFieldGate';
+
+const Fallback = memo(({ nodeId, fieldName }: Props) => {
+  const { t } = useTranslation();
+  const name = useOutputFieldName(nodeId, fieldName);
+
+  return (
+    <OutputFieldWrapper>
+      <FormControl isInvalid={true} alignItems="stretch" justifyContent="space-between" gap={2} h="full" w="full">
+        <FormLabel display="flex" alignItems="center" h="full" color="error.300" mb={0} px={1} gap={2}>
+          {t('nodes.unexpectedField_withName', { name })}
+        </FormLabel>
+      </FormControl>
+    </OutputFieldWrapper>
+  );
+});
+
+Fallback.displayName = 'Fallback';
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldUnknownPlaceholder.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldUnknownPlaceholder.tsx
deleted file mode 100644
index 9de792b9e5..0000000000
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/OutputFieldUnknownPlaceholder.tsx
+++ /dev/null
@@ -1,27 +0,0 @@
-import { FormControl, FormLabel } from '@invoke-ai/ui-library';
-import { OutputFieldWrapper } from 'features/nodes/components/flow/nodes/Invocation/fields/OutputFieldWrapper';
-import { useOutputFieldName } from 'features/nodes/hooks/useOutputFieldName';
-import { memo } from 'react';
-import { useTranslation } from 'react-i18next';
-
-type Props = {
-  nodeId: string;
-  fieldName: string;
-};
-
-export const OutputFieldUnknownPlaceholder = memo(({ nodeId, fieldName }: Props) => {
-  const { t } = useTranslation();
-  const name = useOutputFieldName(nodeId, fieldName);
-
-  return (
-    <OutputFieldWrapper>
-      <FormControl isInvalid={true} alignItems="stretch" justifyContent="space-between" gap={2} h="full" w="full">
-        <FormLabel display="flex" alignItems="center" h="full" color="error.300" mb={0} px={1} gap={2}>
-          {t('nodes.unknownOutput', { name })}
-        </FormLabel>
-      </FormControl>
-    </OutputFieldWrapper>
-  );
-});
-
-OutputFieldUnknownPlaceholder.displayName = 'OutputFieldUnknownPlaceholder';
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldDropdown.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldDropdown.tsx
new file mode 100644
index 0000000000..3d4242e7ec
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldDropdown.tsx
@@ -0,0 +1,36 @@
+import { Select } from '@invoke-ai/ui-library';
+import type { FieldComponentProps } from 'features/nodes/components/flow/nodes/Invocation/fields/inputs/types';
+import { useStringField } from 'features/nodes/components/flow/nodes/Invocation/fields/StringField/useStringField';
+import { NO_DRAG_CLASS, NO_PAN_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
+import type { StringFieldInputInstance, StringFieldInputTemplate } from 'features/nodes/types/field';
+import type { NodeFieldStringSettings } from 'features/nodes/types/workflow';
+import { memo } from 'react';
+
+export const StringFieldDropdown = memo(
+  (
+    props: FieldComponentProps<
+      StringFieldInputInstance,
+      StringFieldInputTemplate,
+      { settings: Extract<NodeFieldStringSettings, { component: 'dropdown' }> }
+    >
+  ) => {
+    const { value, onChange } = useStringField(props);
+
+    return (
+      <Select
+        onChange={onChange}
+        className={`${NO_DRAG_CLASS} ${NO_PAN_CLASS} ${NO_WHEEL_CLASS}`}
+        isDisabled={props.settings.options.length === 0}
+        value={value}
+      >
+        {props.settings.options.map((choice, i) => (
+          <option key={`${i}_${choice.value}`} value={choice.value}>
+            {choice.label || choice.value || `Option ${i + 1}`}
+          </option>
+        ))}
+      </Select>
+    );
+  }
+);
+
+StringFieldDropdown.displayName = 'StringFieldDropdown';
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldInput.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldInput.tsx
index d547428984..0cc17c4bf4 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldInput.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldInput.tsx
@@ -4,12 +4,21 @@ import { useStringField } from 'features/nodes/components/flow/nodes/Invocation/
 import { NO_DRAG_CLASS, NO_PAN_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
 import type { StringFieldInputInstance, StringFieldInputTemplate } from 'features/nodes/types/field';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 export const StringFieldInput = memo(
   (props: FieldComponentProps<StringFieldInputInstance, StringFieldInputTemplate>) => {
     const { value, onChange } = useStringField(props);
+    const { t } = useTranslation();
 
-    return <Input className={`${NO_DRAG_CLASS} ${NO_PAN_CLASS} ${NO_WHEEL_CLASS}`} value={value} onChange={onChange} />;
+    return (
+      <Input
+        className={`${NO_DRAG_CLASS} ${NO_PAN_CLASS} ${NO_WHEEL_CLASS}`}
+        placeholder={t('workflows.emptyStringPlaceholder')}
+        value={value}
+        onChange={onChange}
+      />
+    );
   }
 );
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldTextarea.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldTextarea.tsx
index 1985796470..91abe05202 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldTextarea.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/StringFieldTextarea.tsx
@@ -4,14 +4,17 @@ import { useStringField } from 'features/nodes/components/flow/nodes/Invocation/
 import { NO_DRAG_CLASS, NO_PAN_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
 import type { StringFieldInputInstance, StringFieldInputTemplate } from 'features/nodes/types/field';
 import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 export const StringFieldTextarea = memo(
   (props: FieldComponentProps<StringFieldInputInstance, StringFieldInputTemplate>) => {
+    const { t } = useTranslation();
     const { value, onChange } = useStringField(props);
 
     return (
       <Textarea
         className={`${NO_DRAG_CLASS} ${NO_PAN_CLASS} ${NO_WHEEL_CLASS}`}
+        placeholder={t('workflows.emptyStringPlaceholder')}
         value={value}
         onChange={onChange}
         h="full"
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/useStringField.ts b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/useStringField.ts
index 1affdae576..6d5b605d06 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/useStringField.ts
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/StringField/useStringField.ts
@@ -10,7 +10,7 @@ export const useStringField = (props: FieldComponentProps<StringFieldInputInstan
   const dispatch = useAppDispatch();
 
   const onChange = useCallback(
-    (e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement>) => {
+    (e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement | HTMLSelectElement>) => {
       dispatch(
         fieldStringValueChanged({
           nodeId,
diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringFieldCollectionInputComponent.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringFieldCollectionInputComponent.tsx
index d908d01676..fe3475ab43 100644
--- a/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringFieldCollectionInputComponent.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/flow/nodes/Invocation/fields/inputs/StringFieldCollectionInputComponent.tsx
@@ -1,5 +1,5 @@
 import type { SystemStyleObject } from '@invoke-ai/ui-library';
-import { Button, Divider, Flex, FormLabel, Grid, GridItem, IconButton, Input } from '@invoke-ai/ui-library';
+import { Button, Divider, Flex, Grid, GridItem, IconButton, Input, Text } from '@invoke-ai/ui-library';
 import { useAppStore } from 'app/store/nanostores/store';
 import { getOverlayScrollbarsParams, overlayScrollbarsStyles } from 'common/components/OverlayScrollbars/constants';
 import { useInputFieldIsInvalid } from 'features/nodes/hooks/useInputFieldIsInvalid';
@@ -107,42 +107,6 @@ export const StringFieldCollectionInputComponent = memo(
 
 StringFieldCollectionInputComponent.displayName = 'StringFieldCollectionInputComponent';
 
-type StringListItemContentProps = {
-  value: string;
-  index: number;
-  onRemoveString: (index: number) => void;
-  onChangeString: (index: number, value: string) => void;
-};
-
-const StringListItemContent = memo(({ value, index, onRemoveString, onChangeString }: StringListItemContentProps) => {
-  const { t } = useTranslation();
-
-  const onClickRemove = useCallback(() => {
-    onRemoveString(index);
-  }, [index, onRemoveString]);
-  const onChange = useCallback(
-    (e: ChangeEvent<HTMLInputElement>) => {
-      onChangeString(index, e.target.value);
-    },
-    [index, onChangeString]
-  );
-  return (
-    <Flex alignItems="center" gap={1}>
-      <Input size="xs" resize="none" value={value} onChange={onChange} />
-      <IconButton
-        size="sm"
-        variant="link"
-        alignSelf="stretch"
-        onClick={onClickRemove}
-        icon={<PiXBold />}
-        aria-label={t('common.remove')}
-        tooltip={t('common.remove')}
-      />
-    </Flex>
-  );
-});
-StringListItemContent.displayName = 'StringListItemContent';
-
 type ListItemContentProps = {
   value: string;
   index: number;
@@ -166,19 +130,26 @@ const ListItemContent = memo(({ value, index, onRemoveString, onChangeString }:
   return (
     <>
       <GridItem>
-        <FormLabel ps={1} m={0}>
+        <Text variant="subtext" textAlign="center" minW={8}>
           {index + 1}.
-        </FormLabel>
+        </Text>
       </GridItem>
       <GridItem>
-        <Input size="sm" resize="none" value={value} onChange={onChange} />
+        <Input
+          placeholder={t('workflows.emptyStringPlaceholder')}
+          size="sm"
+          resize="none"
+          value={value}
+          onChange={onChange}
+        />
       </GridItem>
       <GridItem>
         <IconButton
           tabIndex={-1}
           size="sm"
           variant="link"
-          alignSelf="stretch"
+          minW={8}
+          minH={8}
           onClick={onClickRemove}
           icon={<PiXBold />}
           aria-label={t('common.delete')}
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/FormElementEditModeHeader.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/FormElementEditModeHeader.tsx
index 890c904dd2..5c24b26bc9 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/FormElementEditModeHeader.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/FormElementEditModeHeader.tsx
@@ -1,6 +1,7 @@
 import type { FlexProps, SystemStyleObject } from '@invoke-ai/ui-library';
 import { Flex, IconButton, Spacer, Text } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
+import { InputFieldGate } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate';
 import { ContainerElementSettings } from 'features/nodes/components/sidePanel/builder/ContainerElementSettings';
 import { useDepthContext } from 'features/nodes/components/sidePanel/builder/contexts';
 import { NodeFieldElementSettings } from 'features/nodes/components/sidePanel/builder/NodeFieldElementSettings';
@@ -47,8 +48,16 @@ export const FormElementEditModeHeader = memo(({ element, dragHandleRef, ...rest
       <Label element={element} />
       <Spacer />
       {isContainerElement(element) && <ContainerElementSettings element={element} />}
-      {isNodeFieldElement(element) && <ZoomToNodeButton element={element} />}
-      {isNodeFieldElement(element) && <NodeFieldElementSettings element={element} />}
+      {isNodeFieldElement(element) && (
+        <InputFieldGate
+          nodeId={element.data.fieldIdentifier.nodeId}
+          fieldName={element.data.fieldIdentifier.fieldName}
+          fallback={null} // Do not render these buttons if the field is not found
+        >
+          <ZoomToNodeButton element={element} />
+          <NodeFieldElementSettings element={element} />
+        </InputFieldGate>
+      )}
       <RemoveElementButton element={element} />
     </Flex>
   );
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElement.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElement.tsx
index 19451e54bb..06c095a799 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElement.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElement.tsx
@@ -1,5 +1,4 @@
 import { useAppSelector } from 'app/store/storeHooks';
-import { InputFieldGate } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate';
 import { NodeFieldElementEditMode } from 'features/nodes/components/sidePanel/builder/NodeFieldElementEditMode';
 import { NodeFieldElementViewMode } from 'features/nodes/components/sidePanel/builder/NodeFieldElementViewMode';
 import { selectWorkflowMode, useElement } from 'features/nodes/store/workflowSlice';
@@ -15,19 +14,11 @@ export const NodeFieldElement = memo(({ id }: { id: string }) => {
   }
 
   if (mode === 'view') {
-    return (
-      <InputFieldGate nodeId={el.data.fieldIdentifier.nodeId} fieldName={el.data.fieldIdentifier.fieldName}>
-        <NodeFieldElementViewMode el={el} />
-      </InputFieldGate>
-    );
+    return <NodeFieldElementViewMode el={el} />;
   }
 
   // mode === 'edit'
-  return (
-    <InputFieldGate nodeId={el.data.fieldIdentifier.nodeId} fieldName={el.data.fieldIdentifier.fieldName}>
-      <NodeFieldElementEditMode el={el} />
-    </InputFieldGate>
-  );
+  return <NodeFieldElementEditMode el={el} />;
 });
 
 NodeFieldElement.displayName = 'NodeFieldElement';
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementDescriptionEditable.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementDescriptionEditable.tsx
index fa49391c22..9f386b496b 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementDescriptionEditable.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementDescriptionEditable.tsx
@@ -2,8 +2,8 @@ import { FormHelperText, Textarea } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { linkifyOptions, linkifySx } from 'common/components/linkify';
 import { useEditable } from 'common/hooks/useEditable';
-import { useInputFieldDescription } from 'features/nodes/hooks/useInputFieldDescription';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldDescriptionSafe } from 'features/nodes/hooks/useInputFieldDescriptionSafe';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { fieldDescriptionChanged } from 'features/nodes/store/nodesSlice';
 import type { NodeFieldElement } from 'features/nodes/types/workflow';
 import Linkify from 'linkify-react';
@@ -13,8 +13,8 @@ export const NodeFieldElementDescriptionEditable = memo(({ el }: { el: NodeField
   const { data } = el;
   const { fieldIdentifier } = data;
   const dispatch = useAppDispatch();
-  const description = useInputFieldDescription(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
-  const fieldTemplate = useInputFieldTemplate(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const description = useInputFieldDescriptionSafe(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
   const inputRef = useRef<HTMLTextAreaElement>(null);
 
   const onChange = useCallback(
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementEditMode.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementEditMode.tsx
index 9e3add1763..8aa3dccc97 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementEditMode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementEditMode.tsx
@@ -1,5 +1,6 @@
 import type { SystemStyleObject } from '@invoke-ai/ui-library';
-import { Box, Flex, FormControl } from '@invoke-ai/ui-library';
+import { Box, Divider, Flex, FormControl } from '@invoke-ai/ui-library';
+import { InputFieldGate } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate';
 import { InputFieldRenderer } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer';
 import { useContainerContext } from 'features/nodes/components/sidePanel/builder/contexts';
 import { useFormElementDnd } from 'features/nodes/components/sidePanel/builder/dnd-hooks';
@@ -8,9 +9,11 @@ import { FormElementEditModeContent } from 'features/nodes/components/sidePanel/
 import { FormElementEditModeHeader } from 'features/nodes/components/sidePanel/builder/FormElementEditModeHeader';
 import { NodeFieldElementDescriptionEditable } from 'features/nodes/components/sidePanel/builder/NodeFieldElementDescriptionEditable';
 import { NodeFieldElementLabelEditable } from 'features/nodes/components/sidePanel/builder/NodeFieldElementLabelEditable';
+import { NodeFieldElementStringDropdownSettings } from 'features/nodes/components/sidePanel/builder/NodeFieldElementStringDropdownSettings';
 import { useMouseOverFormField, useMouseOverNode } from 'features/nodes/hooks/useMouseOverNode';
 import type { NodeFieldElement } from 'features/nodes/types/workflow';
 import { NODE_FIELD_CLASS_NAME } from 'features/nodes/types/workflow';
+import type { RefObject } from 'react';
 import { memo, useRef } from 'react';
 
 const sx: SystemStyleObject = {
@@ -31,25 +34,11 @@ export const NodeFieldElementEditMode = memo(({ el }: { el: NodeFieldElement })
   const dragHandleRef = useRef<HTMLDivElement>(null);
   const [activeDropRegion, isDragging] = useFormElementDnd(el.id, draggableRef, dragHandleRef);
   const containerCtx = useContainerContext();
-  const { id, data } = el;
-  const { fieldIdentifier, showDescription } = data;
+  const { id } = el;
 
   return (
     <Flex ref={draggableRef} id={id} className={NODE_FIELD_CLASS_NAME} sx={sx} data-parent-layout={containerCtx.layout}>
-      <FormElementEditModeHeader dragHandleRef={dragHandleRef} element={el} data-is-dragging={isDragging} />
-      <FormElementEditModeContent data-is-dragging={isDragging} p={4}>
-        <FormControl flex="1 1 0" orientation="vertical">
-          <NodeFieldElementLabelEditable el={el} />
-          <Flex w="full" gap={4}>
-            <InputFieldRenderer
-              nodeId={fieldIdentifier.nodeId}
-              fieldName={fieldIdentifier.fieldName}
-              settings={data.settings}
-            />
-          </Flex>
-          {showDescription && <NodeFieldElementDescriptionEditable el={el} />}
-        </FormControl>
-      </FormElementEditModeContent>
+      <NodeFieldElementEditModeContent dragHandleRef={dragHandleRef} el={el} isDragging={isDragging} />
       <NodeFieldElementOverlay element={el} />
       <DndListDropIndicator activeDropRegion={activeDropRegion} gap="var(--invoke-space-4)" />
     </Flex>
@@ -58,6 +47,48 @@ export const NodeFieldElementEditMode = memo(({ el }: { el: NodeFieldElement })
 
 NodeFieldElementEditMode.displayName = 'NodeFieldElementEditMode';
 
+const NodeFieldElementEditModeContent = memo(
+  ({
+    el,
+    dragHandleRef,
+    isDragging,
+  }: {
+    el: NodeFieldElement;
+    dragHandleRef: RefObject<HTMLDivElement>;
+    isDragging: boolean;
+  }) => {
+    const { id, data } = el;
+    const { fieldIdentifier, showDescription } = data;
+    return (
+      <>
+        <FormElementEditModeHeader dragHandleRef={dragHandleRef} element={el} data-is-dragging={isDragging} />
+        <FormElementEditModeContent data-is-dragging={isDragging} p={4}>
+          <InputFieldGate nodeId={fieldIdentifier.nodeId} fieldName={fieldIdentifier.fieldName}>
+            <FormControl flex="1 1 0" orientation="vertical">
+              <NodeFieldElementLabelEditable el={el} />
+              <Flex w="full" gap={4}>
+                <InputFieldRenderer
+                  nodeId={fieldIdentifier.nodeId}
+                  fieldName={fieldIdentifier.fieldName}
+                  settings={data.settings}
+                />
+              </Flex>
+              {showDescription && <NodeFieldElementDescriptionEditable el={el} />}
+              {data.settings?.type === 'string-field-config' && data.settings.component === 'dropdown' && (
+                <>
+                  <Divider />
+                  <NodeFieldElementStringDropdownSettings id={id} settings={data.settings} />
+                </>
+              )}
+            </FormControl>
+          </InputFieldGate>
+        </FormElementEditModeContent>
+      </>
+    );
+  }
+);
+NodeFieldElementEditModeContent.displayName = 'NodeFieldElementEditModeContent';
+
 const nodeFieldOverlaySx: SystemStyleObject = {
   position: 'absolute',
   top: 0,
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementFloatSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementFloatSettings.tsx
index 04b9bd0c53..3815c62649 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementFloatSettings.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementFloatSettings.tsx
@@ -14,42 +14,48 @@ import { useTranslation } from 'react-i18next';
 
 type Props = {
   id: string;
-  config: NodeFieldFloatSettings;
+  settings: NodeFieldFloatSettings;
   nodeId: string;
   fieldName: string;
   fieldTemplate: FloatFieldInputTemplate;
 };
 
-export const NodeFieldElementFloatSettings = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props) => {
+export const NodeFieldElementFloatSettings = memo(({ id, settings, nodeId, fieldName, fieldTemplate }: Props) => {
   return (
     <>
-      <SettingComponent id={id} config={config} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
-      <SettingMin id={id} config={config} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
-      <SettingMax id={id} config={config} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
+      <SettingComponent
+        id={id}
+        settings={settings}
+        nodeId={nodeId}
+        fieldName={fieldName}
+        fieldTemplate={fieldTemplate}
+      />
+      <SettingMin id={id} settings={settings} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
+      <SettingMax id={id} settings={settings} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
     </>
   );
 });
 NodeFieldElementFloatSettings.displayName = 'NodeFieldElementFloatSettings';
 
-const SettingComponent = memo(({ id, config }: Props) => {
+const SettingComponent = memo(({ id, settings }: Props) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
 
   const onChangeComponent = useCallback(
     (e: ChangeEvent<HTMLSelectElement>) => {
-      const newConfig: NodeFieldFloatSettings = {
-        ...config,
+      const newSettings: NodeFieldFloatSettings = {
+        ...settings,
         component: zNumberComponent.parse(e.target.value),
       };
-      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
     },
-    [config, dispatch, id]
+    [settings, dispatch, id]
   );
 
   return (
     <FormControl orientation="vertical">
       <FormLabel flex={1}>{t('workflows.builder.component')}</FormLabel>
-      <Select value={config.component} onChange={onChangeComponent} size="sm">
+      <Select value={settings.component} onChange={onChangeComponent} size="sm">
         <option value="number-input">{t('workflows.builder.numberInput')}</option>
         <option value="slider">{t('workflows.builder.slider')}</option>
         <option value="number-input-and-slider">{t('workflows.builder.both')}</option>
@@ -59,36 +65,36 @@ const SettingComponent = memo(({ id, config }: Props) => {
 });
 SettingComponent.displayName = 'SettingComponent';
 
-const SettingMin = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props) => {
+const SettingMin = memo(({ id, settings, nodeId, fieldName, fieldTemplate }: Props) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const field = useInputFieldInstance<FloatFieldInputInstance>(nodeId, fieldName);
 
   const floatField = useFloatField(nodeId, fieldName, fieldTemplate);
 
-  const onToggleSetting = useCallback(() => {
-    const newConfig: NodeFieldFloatSettings = {
-      ...config,
-      min: config.min !== undefined ? undefined : floatField.min,
+  const onToggleOverride = useCallback(() => {
+    const newSettings: NodeFieldFloatSettings = {
+      ...settings,
+      min: settings.min !== undefined ? undefined : floatField.min,
     };
-    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
-  }, [config, dispatch, floatField, id]);
+    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
+  }, [settings, dispatch, floatField, id]);
 
   const onChange = useCallback(
     (min: number) => {
-      const newConfig: NodeFieldFloatSettings = {
-        ...config,
+      const newSettings: NodeFieldFloatSettings = {
+        ...settings,
         min,
       };
-      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
 
       // We may need to update the value if it is outside the new min/max range
-      const constrained = constrainNumber(field.value, floatField, newConfig);
+      const constrained = constrainNumber(field.value, floatField, newSettings);
       if (field.value !== constrained) {
         dispatch(fieldFloatValueChanged({ nodeId, fieldName, value: constrained }));
       }
     },
-    [config, dispatch, field.value, fieldName, floatField, id, nodeId]
+    [settings, dispatch, field.value, fieldName, floatField, id, nodeId]
   );
 
   const constraintMin = useMemo(
@@ -97,20 +103,20 @@ const SettingMin = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props
   );
 
   const constraintMax = useMemo(
-    () => (config.max ?? floatField.max) - floatField.step,
-    [config.max, floatField.max, floatField.step]
+    () => (settings.max ?? floatField.max) - floatField.step,
+    [settings.max, floatField.max, floatField.step]
   );
 
   return (
     <FormControl orientation="vertical">
       <Flex justifyContent="space-between" w="full" alignItems="center">
         <FormLabel m={0}>{t('workflows.builder.minimum')}</FormLabel>
-        <Switch isChecked={config.min !== undefined} onChange={onToggleSetting} size="sm" />
+        <Switch isChecked={settings.min !== undefined} onChange={onToggleOverride} size="sm" />
       </Flex>
       <CompositeNumberInput
         w="full"
-        isDisabled={config.min === undefined}
-        value={config.min === undefined ? (`${floatField.min} (inherited)` as unknown as number) : config.min}
+        isDisabled={settings.min === undefined}
+        value={settings.min === undefined ? (`${floatField.min} (inherited)` as unknown as number) : settings.min}
         onChange={onChange}
         min={constraintMin}
         max={constraintMax}
@@ -121,41 +127,41 @@ const SettingMin = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props
 });
 SettingMin.displayName = 'SettingMin';
 
-const SettingMax = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props) => {
+const SettingMax = memo(({ id, settings, nodeId, fieldName, fieldTemplate }: Props) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const field = useInputFieldInstance<FloatFieldInputInstance>(nodeId, fieldName);
 
   const floatField = useFloatField(nodeId, fieldName, fieldTemplate);
 
-  const onToggleSetting = useCallback(() => {
-    const newConfig: NodeFieldFloatSettings = {
-      ...config,
-      max: config.max !== undefined ? undefined : floatField.max,
+  const onToggleOverride = useCallback(() => {
+    const newSettings: NodeFieldFloatSettings = {
+      ...settings,
+      max: settings.max !== undefined ? undefined : floatField.max,
     };
-    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
-  }, [config, dispatch, floatField, id]);
+    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
+  }, [settings, dispatch, floatField, id]);
 
   const onChange = useCallback(
     (max: number) => {
-      const newConfig: NodeFieldFloatSettings = {
-        ...config,
+      const newSettings: NodeFieldFloatSettings = {
+        ...settings,
         max,
       };
-      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
 
       // We may need to update the value if it is outside the new min/max range
-      const constrained = constrainNumber(field.value, floatField, newConfig);
+      const constrained = constrainNumber(field.value, floatField, newSettings);
       if (field.value !== constrained) {
         dispatch(fieldFloatValueChanged({ nodeId, fieldName, value: constrained }));
       }
     },
-    [config, dispatch, field.value, fieldName, floatField, id, nodeId]
+    [settings, dispatch, field.value, fieldName, floatField, id, nodeId]
   );
 
   const constraintMin = useMemo(
-    () => (config.min ?? floatField.min) + floatField.step,
-    [config.min, floatField.min, floatField.step]
+    () => (settings.min ?? floatField.min) + floatField.step,
+    [settings.min, floatField.min, floatField.step]
   );
 
   const constraintMax = useMemo(
@@ -167,12 +173,12 @@ const SettingMax = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props
     <FormControl orientation="vertical">
       <Flex justifyContent="space-between" w="full" alignItems="center">
         <FormLabel m={0}>{t('workflows.builder.maximum')}</FormLabel>
-        <Switch isChecked={config.max !== undefined} onChange={onToggleSetting} size="sm" />
+        <Switch isChecked={settings.max !== undefined} onChange={onToggleOverride} size="sm" />
       </Flex>
       <CompositeNumberInput
         w="full"
-        isDisabled={config.max === undefined}
-        value={config.max === undefined ? (`${floatField.max} (inherited)` as unknown as number) : config.max}
+        isDisabled={settings.max === undefined}
+        value={settings.max === undefined ? (`${floatField.max} (inherited)` as unknown as number) : settings.max}
         onChange={onChange}
         min={constraintMin}
         max={constraintMax}
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementIntegerSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementIntegerSettings.tsx
index 5ffc1a271e..116cf45b3a 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementIntegerSettings.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementIntegerSettings.tsx
@@ -15,42 +15,48 @@ import { useTranslation } from 'react-i18next';
 
 type Props = {
   id: string;
-  config: NodeFieldIntegerSettings;
+  settings: NodeFieldIntegerSettings;
   nodeId: string;
   fieldName: string;
   fieldTemplate: IntegerFieldInputTemplate;
 };
 
-export const NodeFieldElementIntegerSettings = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props) => {
+export const NodeFieldElementIntegerSettings = memo(({ id, settings, nodeId, fieldName, fieldTemplate }: Props) => {
   return (
     <>
-      <SettingComponent id={id} config={config} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
-      <SettingMin id={id} config={config} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
-      <SettingMax id={id} config={config} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
+      <SettingComponent
+        id={id}
+        settings={settings}
+        nodeId={nodeId}
+        fieldName={fieldName}
+        fieldTemplate={fieldTemplate}
+      />
+      <SettingMin id={id} settings={settings} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
+      <SettingMax id={id} settings={settings} nodeId={nodeId} fieldName={fieldName} fieldTemplate={fieldTemplate} />
     </>
   );
 });
 NodeFieldElementIntegerSettings.displayName = 'NodeFieldElementIntegerSettings';
 
-const SettingComponent = memo(({ id, config }: Props) => {
+const SettingComponent = memo(({ id, settings }: Props) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
 
   const onChangeComponent = useCallback(
     (e: ChangeEvent<HTMLSelectElement>) => {
-      const newConfig: NodeFieldIntegerSettings = {
-        ...config,
+      const newSettings: NodeFieldIntegerSettings = {
+        ...settings,
         component: zNumberComponent.parse(e.target.value),
       };
-      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
     },
-    [config, dispatch, id]
+    [settings, dispatch, id]
   );
 
   return (
     <FormControl orientation="vertical">
       <FormLabel flex={1}>{t('workflows.builder.component')}</FormLabel>
-      <Select value={config.component} onChange={onChangeComponent} size="sm">
+      <Select value={settings.component} onChange={onChangeComponent} size="sm">
         <option value="number-input">{t('workflows.builder.numberInput')}</option>
         <option value="slider">{t('workflows.builder.slider')}</option>
         <option value="number-input-and-slider">{t('workflows.builder.both')}</option>
@@ -60,37 +66,37 @@ const SettingComponent = memo(({ id, config }: Props) => {
 });
 SettingComponent.displayName = 'SettingComponent';
 
-const SettingMin = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props) => {
+const SettingMin = memo(({ id, settings, nodeId, fieldName, fieldTemplate }: Props) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const field = useInputFieldInstance<IntegerFieldInputInstance>(nodeId, fieldName);
 
   const integerField = useIntegerField(nodeId, fieldName, fieldTemplate);
 
-  const onToggleSetting = useCallback(() => {
-    const newConfig: NodeFieldIntegerSettings = {
-      ...config,
-      min: config.min !== undefined ? undefined : integerField.min,
+  const onToggleOverride = useCallback(() => {
+    const newSettings: NodeFieldIntegerSettings = {
+      ...settings,
+      min: settings.min !== undefined ? undefined : integerField.min,
     };
 
-    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
-  }, [config, dispatch, integerField.min, id]);
+    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
+  }, [settings, dispatch, integerField.min, id]);
 
   const onChange = useCallback(
     (min: number) => {
-      const newConfig: NodeFieldIntegerSettings = {
-        ...config,
+      const newSettings: NodeFieldIntegerSettings = {
+        ...settings,
         min,
       };
-      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
 
       // We may need to update the value if it is outside the new min/max range
-      const constrained = constrainNumber(field.value, integerField, newConfig);
+      const constrained = constrainNumber(field.value, integerField, newSettings);
       if (field.value !== constrained) {
         dispatch(fieldIntegerValueChanged({ nodeId, fieldName, value: constrained }));
       }
     },
-    [config, dispatch, id, field, integerField, nodeId, fieldName]
+    [settings, dispatch, id, field, integerField, nodeId, fieldName]
   );
 
   const constraintMin = useMemo(
@@ -99,20 +105,20 @@ const SettingMin = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props
   );
 
   const constraintMax = useMemo(
-    () => (config.max ?? integerField.max) - integerField.step,
-    [config.max, integerField.max, integerField.step]
+    () => (settings.max ?? integerField.max) - integerField.step,
+    [settings.max, integerField.max, integerField.step]
   );
 
   return (
     <FormControl orientation="vertical">
       <Flex justifyContent="space-between" w="full" alignItems="center">
         <FormLabel m={0}>{t('workflows.builder.minimum')}</FormLabel>
-        <Switch isChecked={config.min !== undefined} onChange={onToggleSetting} size="sm" />
+        <Switch isChecked={settings.min !== undefined} onChange={onToggleOverride} size="sm" />
       </Flex>
       <CompositeNumberInput
         w="full"
-        isDisabled={config.min === undefined}
-        value={config.min ?? (`${integerField.min} (inherited)` as unknown as number)}
+        isDisabled={settings.min === undefined}
+        value={settings.min ?? (`${integerField.min} (inherited)` as unknown as number)}
         onChange={onChange}
         min={constraintMin}
         max={constraintMax}
@@ -123,42 +129,42 @@ const SettingMin = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props
 });
 SettingMin.displayName = 'SettingMin';
 
-const SettingMax = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props) => {
+const SettingMax = memo(({ id, settings, nodeId, fieldName, fieldTemplate }: Props) => {
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
   const field = useInputFieldInstance<IntegerFieldInputInstance>(nodeId, fieldName);
 
   const integerField = useIntegerField(nodeId, fieldName, fieldTemplate);
 
-  const onToggleSetting = useCallback(() => {
-    const newConfig: NodeFieldIntegerSettings = {
-      ...config,
-      max: config.max !== undefined ? undefined : integerField.max,
+  const onToggleOverride = useCallback(() => {
+    const newSettings: NodeFieldIntegerSettings = {
+      ...settings,
+      max: settings.max !== undefined ? undefined : integerField.max,
     };
-    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
-  }, [config, dispatch, integerField.max, id]);
+    dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
+  }, [settings, dispatch, integerField.max, id]);
 
   const onChange = useCallback(
     (max: number) => {
-      const newConfig: NodeFieldIntegerSettings = {
-        ...config,
+      const newSettings: NodeFieldIntegerSettings = {
+        ...settings,
         max,
       };
 
-      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
 
       // We may need to update the value if it is outside the new min/max range
-      const constrained = constrainNumber(field.value, integerField, newConfig);
+      const constrained = constrainNumber(field.value, integerField, newSettings);
       if (field.value !== constrained) {
         dispatch(fieldIntegerValueChanged({ nodeId, fieldName, value: constrained }));
       }
     },
-    [config, dispatch, field.value, fieldName, integerField, id, nodeId]
+    [settings, dispatch, field.value, fieldName, integerField, id, nodeId]
   );
 
   const constraintMin = useMemo(
-    () => (config.min ?? integerField.min) + integerField.step,
-    [config.min, integerField.min, integerField.step]
+    () => (settings.min ?? integerField.min) + integerField.step,
+    [settings.min, integerField.min, integerField.step]
   );
 
   const constraintMax = useMemo(
@@ -170,12 +176,12 @@ const SettingMax = memo(({ id, config, nodeId, fieldName, fieldTemplate }: Props
     <FormControl orientation="vertical">
       <Flex justifyContent="space-between" w="full" alignItems="center">
         <FormLabel m={0}>{t('workflows.builder.maximum')}</FormLabel>
-        <Switch isChecked={config.max !== undefined} onChange={onToggleSetting} size="sm" />
+        <Switch isChecked={settings.max !== undefined} onChange={onToggleOverride} size="sm" />
       </Flex>
       <CompositeNumberInput
         w="full"
-        isDisabled={config.max === undefined}
-        value={config.max ?? (`${integerField.max} (inherited)` as unknown as number)}
+        isDisabled={settings.max === undefined}
+        value={settings.max ?? (`${integerField.max} (inherited)` as unknown as number)}
         onChange={onChange}
         min={constraintMin}
         max={constraintMax}
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabel.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabel.tsx
index 422669c5a1..09ee58db36 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabel.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabel.tsx
@@ -1,15 +1,15 @@
 import { Flex, FormLabel, Spacer } from '@invoke-ai/ui-library';
 import { NodeFieldElementResetToInitialValueIconButton } from 'features/nodes/components/flow/nodes/Invocation/fields/NodeFieldElementResetToInitialValueIconButton';
-import { useInputFieldLabel } from 'features/nodes/hooks/useInputFieldLabel';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldLabelSafe } from 'features/nodes/hooks/useInputFieldLabelSafe';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import type { NodeFieldElement } from 'features/nodes/types/workflow';
 import { memo, useMemo } from 'react';
 
 export const NodeFieldElementLabel = memo(({ el }: { el: NodeFieldElement }) => {
   const { data } = el;
   const { fieldIdentifier } = data;
-  const label = useInputFieldLabel(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
-  const fieldTemplate = useInputFieldTemplate(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const label = useInputFieldLabelSafe(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
 
   const _label = useMemo(() => label || fieldTemplate.title, [label, fieldTemplate.title]);
 
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabelEditable.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabelEditable.tsx
index c9d4438940..b78315cc7c 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabelEditable.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementLabelEditable.tsx
@@ -2,8 +2,8 @@ import { Flex, FormLabel, Input, Spacer } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { useEditable } from 'common/hooks/useEditable';
 import { NodeFieldElementResetToInitialValueIconButton } from 'features/nodes/components/flow/nodes/Invocation/fields/NodeFieldElementResetToInitialValueIconButton';
-import { useInputFieldLabel } from 'features/nodes/hooks/useInputFieldLabel';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldLabelSafe } from 'features/nodes/hooks/useInputFieldLabelSafe';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { fieldLabelChanged } from 'features/nodes/store/nodesSlice';
 import type { NodeFieldElement } from 'features/nodes/types/workflow';
 import { memo, useCallback, useRef } from 'react';
@@ -12,8 +12,8 @@ export const NodeFieldElementLabelEditable = memo(({ el }: { el: NodeFieldElemen
   const { data } = el;
   const { fieldIdentifier } = data;
   const dispatch = useAppDispatch();
-  const label = useInputFieldLabel(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
-  const fieldTemplate = useInputFieldTemplate(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const label = useInputFieldLabelSafe(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
   const inputRef = useRef<HTMLInputElement>(null);
 
   const onChange = useCallback(
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementSettings.tsx
index 1ae99862c4..c3998b5317 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementSettings.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementSettings.tsx
@@ -15,7 +15,7 @@ import { useAppDispatch } from 'app/store/storeHooks';
 import { NodeFieldElementFloatSettings } from 'features/nodes/components/sidePanel/builder/NodeFieldElementFloatSettings';
 import { NodeFieldElementIntegerSettings } from 'features/nodes/components/sidePanel/builder/NodeFieldElementIntegerSettings';
 import { NodeFieldElementStringSettings } from 'features/nodes/components/sidePanel/builder/NodeFieldElementStringSettings';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { formElementNodeFieldDataChanged } from 'features/nodes/store/workflowSlice';
 import {
   isFloatFieldInputTemplate,
@@ -36,7 +36,7 @@ export const NodeFieldElementSettings = memo(({ element }: { element: NodeFieldE
   const { id, data } = element;
   const { showDescription, fieldIdentifier } = data;
   const { nodeId, fieldName } = fieldIdentifier;
-  const fieldTemplate = useInputFieldTemplate(nodeId, fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(nodeId, fieldName);
 
   const { t } = useTranslation();
   const dispatch = useAppDispatch();
@@ -79,7 +79,7 @@ export const NodeFieldElementSettings = memo(({ element }: { element: NodeFieldE
               {settings?.type === 'integer-field-config' && isIntegerFieldInputTemplate(fieldTemplate) && (
                 <NodeFieldElementIntegerSettings
                   id={id}
-                  config={settings}
+                  settings={settings}
                   nodeId={nodeId}
                   fieldName={fieldName}
                   fieldTemplate={fieldTemplate}
@@ -88,13 +88,15 @@ export const NodeFieldElementSettings = memo(({ element }: { element: NodeFieldE
               {settings?.type === 'float-field-config' && isFloatFieldInputTemplate(fieldTemplate) && (
                 <NodeFieldElementFloatSettings
                   id={id}
-                  config={settings}
+                  settings={settings}
                   nodeId={nodeId}
                   fieldName={fieldName}
                   fieldTemplate={fieldTemplate}
                 />
               )}
-              {settings?.type === 'string-field-config' && <NodeFieldElementStringSettings id={id} config={settings} />}
+              {settings?.type === 'string-field-config' && (
+                <NodeFieldElementStringSettings id={id} settings={settings} />
+              )}
             </Flex>
           </PopoverBody>
         </PopoverContent>
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringDropdownSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringDropdownSettings.tsx
new file mode 100644
index 0000000000..156fe04b99
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringDropdownSettings.tsx
@@ -0,0 +1,205 @@
+import { Button, ButtonGroup, Divider, Flex, Grid, GridItem, IconButton, Input, Text } from '@invoke-ai/ui-library';
+import { useAppDispatch } from 'app/store/storeHooks';
+import { getOverlayScrollbarsParams, overlayScrollbarsStyles } from 'common/components/OverlayScrollbars/constants';
+import { formElementNodeFieldDataChanged } from 'features/nodes/store/workflowSlice';
+import { NO_DRAG_CLASS, NO_WHEEL_CLASS } from 'features/nodes/types/constants';
+import { getDefaultStringOption, type NodeFieldStringDropdownSettings } from 'features/nodes/types/workflow';
+import { OverlayScrollbarsComponent } from 'overlayscrollbars-react';
+import type { ChangeEvent } from 'react';
+import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
+import { PiArrowCounterClockwiseBold, PiPlusBold, PiXBold } from 'react-icons/pi';
+
+const overlayscrollbarsOptions = getOverlayScrollbarsParams({}).options;
+
+export const NodeFieldElementStringDropdownSettings = memo(
+  ({ id, settings }: { id: string; settings: NodeFieldStringDropdownSettings }) => {
+    const { t } = useTranslation();
+    const dispatch = useAppDispatch();
+
+    const onRemoveOption = useCallback(
+      (index: number) => {
+        const options = [...settings.options];
+        options.splice(index, 1);
+        dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: { ...settings, options } } }));
+      },
+      [settings, dispatch, id]
+    );
+
+    const onChangeOptionValue = useCallback(
+      (index: number, value: string) => {
+        if (!settings.options[index]) {
+          return;
+        }
+        const option = { ...settings.options[index], value };
+        const options = [...settings.options];
+        options[index] = option;
+        dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: { ...settings, options } } }));
+      },
+      [dispatch, id, settings]
+    );
+
+    const onChangeOptionLabel = useCallback(
+      (index: number, label: string) => {
+        if (!settings.options[index]) {
+          return;
+        }
+        const option = { ...settings.options[index], label };
+        const options = [...settings.options];
+        options[index] = option;
+        dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: { ...settings, options } } }));
+      },
+      [dispatch, id, settings]
+    );
+
+    const onAddOption = useCallback(() => {
+      const options = [...settings.options, getDefaultStringOption()];
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: { ...settings, options } } }));
+    }, [dispatch, id, settings]);
+
+    const onResetOptions = useCallback(() => {
+      const options = [getDefaultStringOption()];
+      dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: { ...settings, options } } }));
+    }, [dispatch, id, settings]);
+
+    return (
+      <Flex
+        className={NO_DRAG_CLASS}
+        position="relative"
+        w="full"
+        h="auto"
+        maxH={64}
+        alignItems="stretch"
+        justifyContent="center"
+        borderRadius="base"
+        flexDir="column"
+        gap={2}
+      >
+        <ButtonGroup isAttached={false} w="full">
+          <Button onClick={onAddOption} variant="ghost" flex={1} leftIcon={<PiPlusBold />}>
+            {t('workflows.builder.addOption')}
+          </Button>
+          <Button onClick={onResetOptions} variant="ghost" flex={1} leftIcon={<PiArrowCounterClockwiseBold />}>
+            {t('workflows.builder.resetOptions')}
+          </Button>
+        </ButtonGroup>
+        {settings.options.length > 0 && (
+          <>
+            <Divider />
+            <OverlayScrollbarsComponent
+              className={NO_WHEEL_CLASS}
+              defer
+              style={overlayScrollbarsStyles}
+              options={overlayscrollbarsOptions}
+            >
+              <Grid gap={1} gridTemplateColumns="auto 1fr 1fr auto" gridTemplateRows="auto 1fr" alignItems="center">
+                <GridItem minW={8}>
+                  <Text textAlign="center" variant="subtext">
+                    #
+                  </Text>
+                </GridItem>
+                <GridItem>
+                  <Text textAlign="center" variant="subtext">
+                    {t('common.label')}
+                  </Text>
+                </GridItem>
+                <GridItem>
+                  <Text textAlign="center" variant="subtext">
+                    {t('common.value')}
+                  </Text>
+                </GridItem>
+                <GridItem />
+                {settings.options.map(({ value, label }, index) => (
+                  <ListItemContent
+                    key={index}
+                    value={value}
+                    label={label}
+                    index={index}
+                    onRemoveOption={onRemoveOption}
+                    onChangeOptionValue={onChangeOptionValue}
+                    onChangeOptionLabel={onChangeOptionLabel}
+                    isRemoveDisabled={settings.options.length <= 1}
+                  />
+                ))}
+              </Grid>
+            </OverlayScrollbarsComponent>
+          </>
+        )}
+      </Flex>
+    );
+  }
+);
+
+NodeFieldElementStringDropdownSettings.displayName = 'NodeFieldElementStringDropdownSettings';
+
+type ListItemContentProps = {
+  value: string;
+  label: string;
+  index: number;
+  onRemoveOption: (index: number) => void;
+  onChangeOptionValue: (index: number, value: string) => void;
+  onChangeOptionLabel: (index: number, label: string) => void;
+  isRemoveDisabled: boolean;
+};
+
+const ListItemContent = memo(
+  ({
+    value,
+    label,
+    index,
+    onRemoveOption,
+    onChangeOptionValue,
+    onChangeOptionLabel,
+    isRemoveDisabled,
+  }: ListItemContentProps) => {
+    const { t } = useTranslation();
+
+    const onClickRemove = useCallback(() => {
+      onRemoveOption(index);
+    }, [index, onRemoveOption]);
+
+    const onChangeValue = useCallback(
+      (e: ChangeEvent<HTMLInputElement>) => {
+        onChangeOptionValue(index, e.target.value);
+      },
+      [index, onChangeOptionValue]
+    );
+
+    const onChangeLabel = useCallback(
+      (e: ChangeEvent<HTMLInputElement>) => {
+        onChangeOptionLabel(index, e.target.value);
+      },
+      [index, onChangeOptionLabel]
+    );
+
+    return (
+      <>
+        <GridItem>
+          <Text variant="subtext" textAlign="center">
+            {index + 1}.
+          </Text>
+        </GridItem>
+        <GridItem>
+          <Input size="sm" resize="none" placeholder="label" value={label} onChange={onChangeLabel} />
+        </GridItem>
+        <GridItem>
+          <Input size="sm" resize="none" placeholder="value" value={value} onChange={onChangeValue} />
+        </GridItem>
+        <GridItem>
+          <IconButton
+            tabIndex={-1}
+            size="sm"
+            variant="link"
+            minW={8}
+            minH={8}
+            onClick={onClickRemove}
+            isDisabled={isRemoveDisabled}
+            icon={<PiXBold />}
+            aria-label={t('common.delete')}
+          />
+        </GridItem>
+      </>
+    );
+  }
+);
+ListItemContent.displayName = 'ListItemContent';
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringSettings.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringSettings.tsx
index f2818d237e..97a30851fa 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringSettings.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementStringSettings.tsx
@@ -1,36 +1,55 @@
 import { FormControl, FormLabel, Select } from '@invoke-ai/ui-library';
 import { useAppDispatch } from 'app/store/storeHooks';
 import { formElementNodeFieldDataChanged } from 'features/nodes/store/workflowSlice';
-import { type NodeFieldStringSettings, zStringComponent } from 'features/nodes/types/workflow';
+import { getDefaultStringOption, type NodeFieldStringSettings, zStringComponent } from 'features/nodes/types/workflow';
+import { omit } from 'lodash-es';
 import type { ChangeEvent } from 'react';
 import { memo, useCallback } from 'react';
 import { useTranslation } from 'react-i18next';
 
-export const NodeFieldElementStringSettings = memo(
-  ({ id, config }: { id: string; config: NodeFieldStringSettings }) => {
-    const { t } = useTranslation();
-    const dispatch = useAppDispatch();
+type Props = {
+  id: string;
+  settings: NodeFieldStringSettings;
+};
 
-    const onChangeComponent = useCallback(
-      (e: ChangeEvent<HTMLSelectElement>) => {
-        const newConfig: NodeFieldStringSettings = {
-          ...config,
-          component: zStringComponent.parse(e.target.value),
+export const NodeFieldElementStringSettings = memo(({ id, settings }: Props) => {
+  const { t } = useTranslation();
+  const dispatch = useAppDispatch();
+
+  const onChangeComponent = useCallback(
+    (e: ChangeEvent<HTMLSelectElement>) => {
+      const component = zStringComponent.parse(e.target.value);
+      if (component === settings.component) {
+        // no change
+        return;
+      }
+      if (component === 'dropdown') {
+        // if the component is changing to dropdown, we need to set the options
+        const newSettings: NodeFieldStringSettings = {
+          ...settings,
+          component,
+          options: [getDefaultStringOption()],
         };
-        dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newConfig } }));
-      },
-      [config, dispatch, id]
-    );
+        dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
+        return;
+      } else {
+        // if the component is changing from dropdown, we need to remove the options
+        const newSettings: NodeFieldStringSettings = omit({ ...settings, component }, 'options');
+        dispatch(formElementNodeFieldDataChanged({ id, changes: { settings: newSettings } }));
+      }
+    },
+    [settings, dispatch, id]
+  );
 
-    return (
-      <FormControl>
-        <FormLabel flex={1}>{t('workflows.builder.component')}</FormLabel>
-        <Select value={config.component} onChange={onChangeComponent} size="sm">
-          <option value="input">{t('workflows.builder.singleLine')}</option>
-          <option value="textarea">{t('workflows.builder.multiLine')}</option>
-        </Select>
-      </FormControl>
-    );
-  }
-);
+  return (
+    <FormControl>
+      <FormLabel flex={1}>{t('workflows.builder.component')}</FormLabel>
+      <Select value={settings.component} onChange={onChangeComponent} size="sm">
+        <option value="input">{t('workflows.builder.singleLine')}</option>
+        <option value="textarea">{t('workflows.builder.multiLine')}</option>
+        <option value="dropdown">{t('workflows.builder.dropdown')}</option>
+      </Select>
+    </FormControl>
+  );
+});
 NodeFieldElementStringSettings.displayName = 'NodeFieldElementStringSettings';
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementViewMode.tsx b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementViewMode.tsx
index 2e5ba21377..5f6dc87dbc 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementViewMode.tsx
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/NodeFieldElementViewMode.tsx
@@ -1,15 +1,17 @@
 import type { SystemStyleObject } from '@invoke-ai/ui-library';
 import { Flex, FormControl, FormHelperText } from '@invoke-ai/ui-library';
 import { linkifyOptions, linkifySx } from 'common/components/linkify';
+import { InputFieldGate } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldGate';
 import { InputFieldRenderer } from 'features/nodes/components/flow/nodes/Invocation/fields/InputFieldRenderer';
 import { useContainerContext } from 'features/nodes/components/sidePanel/builder/contexts';
 import { NodeFieldElementLabel } from 'features/nodes/components/sidePanel/builder/NodeFieldElementLabel';
-import { useInputFieldDescription } from 'features/nodes/hooks/useInputFieldDescription';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldDescriptionSafe } from 'features/nodes/hooks/useInputFieldDescriptionSafe';
+import { useInputFieldTemplateOrThrow, useInputFieldTemplateSafe } from 'features/nodes/hooks/useInputFieldTemplate';
 import type { NodeFieldElement } from 'features/nodes/types/workflow';
 import { NODE_FIELD_CLASS_NAME } from 'features/nodes/types/workflow';
 import Linkify from 'linkify-react';
-import { memo, useMemo } from 'react';
+import { memo, useCallback, useMemo } from 'react';
+import { useTranslation } from 'react-i18next';
 
 const sx: SystemStyleObject = {
   '&[data-parent-layout="column"]': {
@@ -25,16 +27,23 @@ const sx: SystemStyleObject = {
   },
 };
 
+const useFormatFallbackLabel = () => {
+  const { t } = useTranslation();
+  const formatLabel = useCallback((name: string) => t('nodes.unknownFieldEditWorkflowToFix_withName', { name }), [t]);
+  return formatLabel;
+};
+
 export const NodeFieldElementViewMode = memo(({ el }: { el: NodeFieldElement }) => {
   const { id, data } = el;
   const { fieldIdentifier, showDescription } = data;
-  const description = useInputFieldDescription(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
-  const fieldTemplate = useInputFieldTemplate(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const description = useInputFieldDescriptionSafe(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const fieldTemplate = useInputFieldTemplateSafe(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
   const containerCtx = useContainerContext();
+  const formatFallbackLabel = useFormatFallbackLabel();
 
   const _description = useMemo(
-    () => description || fieldTemplate.description,
-    [description, fieldTemplate.description]
+    () => description || fieldTemplate?.description || '',
+    [description, fieldTemplate?.description]
   );
 
   return (
@@ -45,22 +54,45 @@ export const NodeFieldElementViewMode = memo(({ el }: { el: NodeFieldElement })
       data-parent-layout={containerCtx.layout}
       data-with-description={showDescription && !!_description}
     >
-      <FormControl flex="1 1 0" orientation="vertical">
-        <NodeFieldElementLabel el={el} />
-        <Flex w="full" gap={4}>
-          <InputFieldRenderer
-            nodeId={fieldIdentifier.nodeId}
-            fieldName={fieldIdentifier.fieldName}
-            settings={data.settings}
-          />
-        </Flex>
-        {showDescription && _description && (
-          <FormHelperText sx={linkifySx}>
-            <Linkify options={linkifyOptions}>{_description}</Linkify>
-          </FormHelperText>
-        )}
-      </FormControl>
+      <InputFieldGate
+        nodeId={el.data.fieldIdentifier.nodeId}
+        fieldName={el.data.fieldIdentifier.fieldName}
+        formatLabel={formatFallbackLabel}
+      >
+        <NodeFieldElementViewModeContent el={el} />
+      </InputFieldGate>
     </Flex>
   );
 });
 NodeFieldElementViewMode.displayName = 'NodeFieldElementViewMode';
+
+const NodeFieldElementViewModeContent = memo(({ el }: { el: NodeFieldElement }) => {
+  const { data } = el;
+  const { fieldIdentifier, showDescription } = data;
+  const description = useInputFieldDescriptionSafe(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(fieldIdentifier.nodeId, fieldIdentifier.fieldName);
+
+  const _description = useMemo(
+    () => description || fieldTemplate.description,
+    [description, fieldTemplate.description]
+  );
+
+  return (
+    <FormControl flex="1 1 0" orientation="vertical">
+      <NodeFieldElementLabel el={el} />
+      <Flex w="full" gap={4}>
+        <InputFieldRenderer
+          nodeId={fieldIdentifier.nodeId}
+          fieldName={fieldIdentifier.fieldName}
+          settings={data.settings}
+        />
+      </Flex>
+      {showDescription && _description && (
+        <FormHelperText sx={linkifySx}>
+          <Linkify options={linkifyOptions}>{_description}</Linkify>
+        </FormHelperText>
+      )}
+    </FormControl>
+  );
+});
+NodeFieldElementViewModeContent.displayName = 'NodeFieldElementViewModeContent';
diff --git a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/use-add-node-field-to-root.ts b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/use-add-node-field-to-root.ts
index cffe13b862..ed2e6b7281 100644
--- a/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/use-add-node-field-to-root.ts
+++ b/invokeai/frontend/web/src/features/nodes/components/sidePanel/builder/use-add-node-field-to-root.ts
@@ -1,6 +1,6 @@
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
 import { useInputFieldInstance } from 'features/nodes/hooks/useInputFieldInstance';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { formElementAdded, selectFormRootElementId } from 'features/nodes/store/workflowSlice';
 import { buildNodeFieldElement } from 'features/nodes/types/workflow';
 import { useCallback } from 'react';
@@ -8,7 +8,7 @@ import { useCallback } from 'react';
 export const useAddNodeFieldToRoot = (nodeId: string, fieldName: string) => {
   const dispatch = useAppDispatch();
   const rootElementId = useAppSelector(selectFormRootElementId);
-  const fieldTemplate = useInputFieldTemplate(nodeId, fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(nodeId, fieldName);
   const field = useInputFieldInstance(nodeId, fieldName);
 
   const addNodeFieldToRoot = useCallback(() => {
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDefaultValue.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDefaultValue.ts
index 3ac715cdc0..68aa97e13e 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDefaultValue.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDefaultValue.ts
@@ -1,6 +1,6 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
-import { useInputFieldTemplate } from 'features/nodes/hooks/useInputFieldTemplate';
+import { useInputFieldTemplateOrThrow } from 'features/nodes/hooks/useInputFieldTemplate';
 import { fieldValueReset } from 'features/nodes/store/nodesSlice';
 import { selectNodesSlice } from 'features/nodes/store/selectors';
 import { isInvocationNode } from 'features/nodes/types/invocation';
@@ -10,7 +10,7 @@ import { useCallback, useMemo } from 'react';
 export const useInputFieldDefaultValue = (nodeId: string, fieldName: string) => {
   const dispatch = useAppDispatch();
 
-  const fieldTemplate = useInputFieldTemplate(nodeId, fieldName);
+  const fieldTemplate = useInputFieldTemplateOrThrow(nodeId, fieldName);
   const selectIsChanged = useMemo(
     () =>
       createSelector(selectNodesSlice, (nodes) => {
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDescription.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDescription.ts
deleted file mode 100644
index 8ccd6844e4..0000000000
--- a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDescription.ts
+++ /dev/null
@@ -1,22 +0,0 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppSelector } from 'app/store/storeHooks';
-import { selectNodesSlice } from 'features/nodes/store/selectors';
-import { isInvocationNode } from 'features/nodes/types/invocation';
-import { useMemo } from 'react';
-
-export const useInputFieldDescription = (nodeId: string, fieldName: string) => {
-  const selector = useMemo(
-    () =>
-      createSelector(selectNodesSlice, (nodes) => {
-        const node = nodes.nodes.find((node) => node.id === nodeId);
-        if (!isInvocationNode(node)) {
-          return '';
-        }
-        return node?.data.inputs[fieldName]?.description ?? '';
-      }),
-    [fieldName, nodeId]
-  );
-
-  const notes = useAppSelector(selector);
-  return notes;
-};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDescriptionSafe.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDescriptionSafe.ts
new file mode 100644
index 0000000000..0aef7ddd7e
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldDescriptionSafe.ts
@@ -0,0 +1,26 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { useAppSelector } from 'app/store/storeHooks';
+import { selectFieldInputInstanceSafe, selectNodesSlice } from 'features/nodes/store/selectors';
+import { useMemo } from 'react';
+
+/**
+ * Gets the user-defined description of an input field for a given node.
+ *
+ * If the node doesn't exist or is not an invocation node, an empty string is returned.
+ *
+ * @param nodeId The ID of the node
+ * @param fieldName The name of the field
+ */
+export const useInputFieldDescriptionSafe = (nodeId: string, fieldName: string) => {
+  const selector = useMemo(
+    () =>
+      createSelector(
+        selectNodesSlice,
+        (nodes) => selectFieldInputInstanceSafe(nodes, nodeId, fieldName)?.description ?? ''
+      ),
+    [fieldName, nodeId]
+  );
+
+  const description = useAppSelector(selector);
+  return description;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldLabel.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldLabel.ts
deleted file mode 100644
index 6487b66f60..0000000000
--- a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldLabel.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import { createSelector } from '@reduxjs/toolkit';
-import { useAppSelector } from 'app/store/storeHooks';
-import { selectFieldInputInstanceSafe, selectNodesSlice } from 'features/nodes/store/selectors';
-import { useMemo } from 'react';
-
-export const useInputFieldLabel = (nodeId: string, fieldName: string): string => {
-  const selector = useMemo(
-    () =>
-      createSelector(selectNodesSlice, (nodes) => {
-        return selectFieldInputInstanceSafe(nodes, nodeId, fieldName)?.label ?? '';
-      }),
-    [fieldName, nodeId]
-  );
-
-  const label = useAppSelector(selector);
-
-  return label;
-};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldLabelSafe.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldLabelSafe.ts
new file mode 100644
index 0000000000..8ee6d8716b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldLabelSafe.ts
@@ -0,0 +1,24 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { useAppSelector } from 'app/store/storeHooks';
+import { selectFieldInputInstanceSafe, selectNodesSlice } from 'features/nodes/store/selectors';
+import { useMemo } from 'react';
+
+/**
+ * Gets the user-defined label of an input field for a given node.
+ *
+ * If the node doesn't exist or is not an invocation node, an empty string is returned.
+ *
+ * @param nodeId The ID of the node
+ * @param fieldName The name of the field
+ */
+export const useInputFieldLabelSafe = (nodeId: string, fieldName: string): string => {
+  const selector = useMemo(
+    () =>
+      createSelector(selectNodesSlice, (nodes) => selectFieldInputInstanceSafe(nodes, nodeId, fieldName)?.label ?? ''),
+    [fieldName, nodeId]
+  );
+
+  const label = useAppSelector(selector);
+
+  return label;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldName.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldNameSafe.ts
similarity index 92%
rename from invokeai/frontend/web/src/features/nodes/hooks/useInputFieldName.ts
rename to invokeai/frontend/web/src/features/nodes/hooks/useInputFieldNameSafe.ts
index 35f553e27c..4b2ac84968 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldName.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldNameSafe.ts
@@ -5,7 +5,7 @@ import { $templates } from 'features/nodes/store/nodesSlice';
 import { selectInvocationNodeSafe, selectNodesSlice } from 'features/nodes/store/selectors';
 import { useMemo } from 'react';
 
-export const useInputFieldName = (nodeId: string, fieldName: string) => {
+export const useInputFieldNameSafe = (nodeId: string, fieldName: string) => {
   const templates = useStore($templates);
 
   const selector = useMemo(
diff --git a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldTemplate.ts b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldTemplate.ts
index 34afde1e49..e5c2367bed 100644
--- a/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldTemplate.ts
+++ b/invokeai/frontend/web/src/features/nodes/hooks/useInputFieldTemplate.ts
@@ -3,7 +3,16 @@ import type { FieldInputTemplate } from 'features/nodes/types/field';
 import { useMemo } from 'react';
 import { assert } from 'tsafe';
 
-export const useInputFieldTemplate = (nodeId: string, fieldName: string): FieldInputTemplate => {
+/**
+ * Returns the template for a specific input field of a node.
+ *
+ * **Note:** This hook will throw an error if the template for the input field is not found.
+ *
+ * @param nodeId - The ID of the node.
+ * @param fieldName - The name of the input field.
+ * @throws Will throw an error if the template for the input field is not found.
+ */
+export const useInputFieldTemplateOrThrow = (nodeId: string, fieldName: string): FieldInputTemplate => {
   const template = useNodeTemplate(nodeId);
   const fieldTemplate = useMemo(() => {
     const _fieldTemplate = template.inputs[fieldName];
@@ -12,3 +21,17 @@ export const useInputFieldTemplate = (nodeId: string, fieldName: string): FieldI
   }, [fieldName, template.inputs]);
   return fieldTemplate;
 };
+
+/**
+ * Returns the template for a specific input field of a node.
+ *
+ * **Note:** This function is a safe version of `useInputFieldTemplate` and will not throw an error if the template is not found.
+ *
+ * @param nodeId - The ID of the node.
+ * @param fieldName - The name of the input field.
+ */
+export const useInputFieldTemplateSafe = (nodeId: string, fieldName: string): FieldInputTemplate | null => {
+  const template = useNodeTemplate(nodeId);
+  const fieldTemplate = useMemo(() => template.inputs[fieldName] ?? null, [fieldName, template.inputs]);
+  return fieldTemplate;
+};
diff --git a/invokeai/frontend/web/src/features/nodes/types/workflow.ts b/invokeai/frontend/web/src/features/nodes/types/workflow.ts
index 48137d8fa1..3a852d6deb 100644
--- a/invokeai/frontend/web/src/features/nodes/types/workflow.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/workflow.ts
@@ -91,14 +91,37 @@ const zNodeFieldIntegerSettings = z.object({
 export type NodeFieldIntegerSettings = z.infer<typeof zNodeFieldIntegerSettings>;
 export const getIntegerFieldSettingsDefaults = (): NodeFieldIntegerSettings => zNodeFieldIntegerSettings.parse({});
 
-export const zStringComponent = z.enum(['input', 'textarea']);
+const zStringOption = z
+  .object({
+    label: z.string(),
+    value: z.string(),
+  })
+  .default({ label: '', value: '' });
+type StringOption = z.infer<typeof zStringOption>;
+export const getDefaultStringOption = (): StringOption => ({ label: '', value: '' });
+export const zStringComponent = z.enum(['input', 'textarea', 'dropdown']);
 const STRING_FIELD_CONFIG_TYPE = 'string-field-config';
-const zNodeFieldStringSettings = z.object({
+const zNodeFieldStringInputSettings = z.object({
   type: z.literal(STRING_FIELD_CONFIG_TYPE).default(STRING_FIELD_CONFIG_TYPE),
-  component: zStringComponent.default('input'),
+  component: z.literal('input').default('input'),
 });
+const zNodeFieldStringTextareaSettings = z.object({
+  type: z.literal(STRING_FIELD_CONFIG_TYPE).default(STRING_FIELD_CONFIG_TYPE),
+  component: z.literal('textarea').default('textarea'),
+});
+const zNodeFieldStringDropdownSettings = z.object({
+  type: z.literal(STRING_FIELD_CONFIG_TYPE).default(STRING_FIELD_CONFIG_TYPE),
+  component: z.literal('dropdown').default('dropdown'),
+  options: z.array(zStringOption),
+});
+export type NodeFieldStringDropdownSettings = z.infer<typeof zNodeFieldStringDropdownSettings>;
+const zNodeFieldStringSettings = z.union([
+  zNodeFieldStringInputSettings,
+  zNodeFieldStringTextareaSettings,
+  zNodeFieldStringDropdownSettings,
+]);
 export type NodeFieldStringSettings = z.infer<typeof zNodeFieldStringSettings>;
-export const getStringFieldSettingsDefaults = (): NodeFieldStringSettings => zNodeFieldStringSettings.parse({});
+export const getStringFieldSettingsDefaults = (): NodeFieldStringSettings => zNodeFieldStringInputSettings.parse({});
 
 const zNodeFieldData = z.object({
   fieldIdentifier: zFieldIdentifier,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addControlAdapters.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addControlAdapters.ts
index f340cd70a7..5fcd13ba4f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addControlAdapters.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addControlAdapters.ts
@@ -4,9 +4,8 @@ import type { CanvasManager } from 'features/controlLayers/konva/CanvasManager';
 import type { CanvasControlLayerState, Rect } from 'features/controlLayers/store/types';
 import { getControlLayerWarnings } from 'features/controlLayers/store/validators';
 import type { Graph } from 'features/nodes/util/graph/generation/Graph';
-import type { ParameterModel } from 'features/parameters/types/parameterSchemas';
 import { serializeError } from 'serialize-error';
-import type { ImageDTO, Invocation } from 'services/api/types';
+import type { ImageDTO, Invocation, MainModelConfig } from 'services/api/types';
 import { assert } from 'tsafe';
 
 const log = logger('system');
@@ -17,7 +16,7 @@ type AddControlNetsArg = {
   g: Graph;
   rect: Rect;
   collector: Invocation<'collect'>;
-  model: ParameterModel;
+  model: MainModelConfig;
 };
 
 type AddControlNetsResult = {
@@ -66,7 +65,7 @@ type AddT2IAdaptersArg = {
   g: Graph;
   rect: Rect;
   collector: Invocation<'collect'>;
-  model: ParameterModel;
+  model: MainModelConfig;
 };
 
 type AddT2IAdaptersResult = {
@@ -114,7 +113,7 @@ type AddControlLoRAArg = {
   entities: CanvasControlLayerState[];
   g: Graph;
   rect: Rect;
-  model: ParameterModel;
+  model: MainModelConfig;
   denoise: Invocation<'flux_denoise'>;
 };
 
@@ -129,9 +128,9 @@ export const addControlLoRA = async ({ manager, entities, g, rect, model, denois
     // No valid control LoRA found
     return;
   }
-  if (validControlLayers.length > 1) {
-    throw new Error('Cannot add more than one FLUX control LoRA.');
-  }
+
+  assert(model.variant !== 'inpaint', 'FLUX Control LoRA is not compatible with FLUX Fill.');
+  assert(validControlLayers.length <= 1, 'Cannot add more than one FLUX control LoRA.');
 
   const getImageDTOResult = await withResultAsync(() => {
     const adapter = manager.adapters.controlLayers.get(validControlLayer.id);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXFill.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXFill.ts
new file mode 100644
index 0000000000..22b891fd5b
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXFill.ts
@@ -0,0 +1,202 @@
+import type { RootState } from 'app/store/store';
+import type { CanvasManager } from 'features/controlLayers/konva/CanvasManager';
+import { getPrefixedId } from 'features/controlLayers/konva/util';
+import { selectCanvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
+import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
+import { selectCanvasSlice } from 'features/controlLayers/store/selectors';
+import type { Dimensions } from 'features/controlLayers/store/types';
+import type { Graph } from 'features/nodes/util/graph/generation/Graph';
+import { isEqual } from 'lodash-es';
+import type { Invocation } from 'services/api/types';
+
+type AddFLUXFillArg = {
+  state: RootState;
+  g: Graph;
+  manager: CanvasManager;
+  l2i: Invocation<'flux_vae_decode'>;
+  denoise: Invocation<'flux_denoise'>;
+  originalSize: Dimensions;
+  scaledSize: Dimensions;
+};
+
+export const addFLUXFill = async ({
+  state,
+  g,
+  manager,
+  l2i,
+  denoise,
+  originalSize,
+  scaledSize,
+}: AddFLUXFillArg): Promise<Invocation<'invokeai_img_blend' | 'apply_mask_to_image'>> => {
+  // FLUX Fill always fully denoises
+  denoise.denoising_start = 0;
+  denoise.denoising_end = 1;
+
+  const params = selectParamsSlice(state);
+  const canvasSettings = selectCanvasSettingsSlice(state);
+  const canvas = selectCanvasSlice(state);
+
+  const { bbox } = canvas;
+
+  const rasterAdapters = manager.compositor.getVisibleAdaptersOfType('raster_layer');
+  const initialImage = await manager.compositor.getCompositeImageDTO(rasterAdapters, bbox.rect, {
+    is_intermediate: true,
+    silent: true,
+  });
+
+  const inpaintMaskAdapters = manager.compositor.getVisibleAdaptersOfType('inpaint_mask');
+  const maskImage = await manager.compositor.getCompositeImageDTO(inpaintMaskAdapters, bbox.rect, {
+    is_intermediate: true,
+    silent: true,
+  });
+
+  const fluxFill = g.addNode({ type: 'flux_fill', id: getPrefixedId('flux_fill') });
+
+  if (!isEqual(scaledSize, originalSize)) {
+    // Scale before processing requires some resizing
+
+    // Combine the inpaint mask and the initial image's alpha channel into a single mask
+    const maskAlphaToMask = g.addNode({
+      id: getPrefixedId('alpha_to_mask'),
+      type: 'tomask',
+      image: { image_name: maskImage.image_name },
+      invert: !canvasSettings.preserveMask,
+    });
+    const initialImageAlphaToMask = g.addNode({
+      id: getPrefixedId('image_alpha_to_mask'),
+      type: 'tomask',
+      image: { image_name: initialImage.image_name },
+    });
+    const maskCombine = g.addNode({
+      id: getPrefixedId('mask_combine'),
+      type: 'mask_combine',
+    });
+    g.addEdge(maskAlphaToMask, 'image', maskCombine, 'mask1');
+    g.addEdge(initialImageAlphaToMask, 'image', maskCombine, 'mask2');
+
+    // Resize the combined and initial image to the scaled size
+    const resizeInputMaskToScaledSize = g.addNode({
+      id: getPrefixedId('resize_mask_to_scaled_size'),
+      type: 'img_resize',
+      ...scaledSize,
+    });
+    g.addEdge(maskCombine, 'image', resizeInputMaskToScaledSize, 'image');
+
+    const alphaMaskToTensorMask = g.addNode({
+      type: 'image_mask_to_tensor',
+      id: getPrefixedId('image_mask_to_tensor'),
+    });
+    g.addEdge(resizeInputMaskToScaledSize, 'image', alphaMaskToTensorMask, 'image');
+    g.addEdge(alphaMaskToTensorMask, 'mask', fluxFill, 'mask');
+
+    // Resize the initial image to the scaled size and add to the FLUX Fill node
+    const resizeInputImageToScaledSize = g.addNode({
+      id: getPrefixedId('resize_image_to_scaled_size'),
+      type: 'img_resize',
+      image: { image_name: initialImage.image_name },
+      ...scaledSize,
+    });
+    g.addEdge(resizeInputImageToScaledSize, 'image', fluxFill, 'image');
+
+    // Provide the FLUX Fill conditioning w/ image and mask to the denoise node
+    g.addEdge(fluxFill, 'fill_cond', denoise, 'fill_conditioning');
+
+    // Resize the output image back to the original size
+    const resizeOutputImageToOriginalSize = g.addNode({
+      id: getPrefixedId('resize_image_to_original_size'),
+      type: 'img_resize',
+      ...originalSize,
+    });
+    // After denoising, resize the image and mask back to original size
+    g.addEdge(l2i, 'image', resizeOutputImageToOriginalSize, 'image');
+
+    const expandMask = g.addNode({
+      type: 'expand_mask_with_fade',
+      id: getPrefixedId('expand_mask_with_fade'),
+      fade_size_px: params.maskBlur,
+    });
+    g.addEdge(maskCombine, 'image', expandMask, 'mask');
+
+    // Do the paste back if we are sending to gallery (in which case we want to see the full image), or if we are sending
+    // to canvas but not outputting only masked regions
+    if (!canvasSettings.sendToCanvas || !canvasSettings.outputOnlyMaskedRegions) {
+      const imageLayerBlend = g.addNode({
+        type: 'invokeai_img_blend',
+        id: getPrefixedId('image_layer_blend'),
+        layer_base: { image_name: initialImage.image_name },
+      });
+      g.addEdge(resizeOutputImageToOriginalSize, 'image', imageLayerBlend, 'layer_upper');
+      g.addEdge(expandMask, 'image', imageLayerBlend, 'mask');
+      return imageLayerBlend;
+    } else {
+      // Otherwise, just apply the mask
+      const applyMaskToImage = g.addNode({
+        type: 'apply_mask_to_image',
+        id: getPrefixedId('apply_mask_to_image'),
+        invert_mask: true,
+      });
+      g.addEdge(expandMask, 'image', applyMaskToImage, 'mask');
+      g.addEdge(resizeOutputImageToOriginalSize, 'image', applyMaskToImage, 'image');
+      return applyMaskToImage;
+    }
+  } else {
+    // Combine the inpaint mask and the initial image's alpha channel into a single mask
+    const maskAlphaToMask = g.addNode({
+      id: getPrefixedId('alpha_to_mask'),
+      type: 'tomask',
+      image: { image_name: maskImage.image_name },
+      invert: !canvasSettings.preserveMask,
+    });
+    const initialImageAlphaToMask = g.addNode({
+      id: getPrefixedId('image_alpha_to_mask'),
+      type: 'tomask',
+      image: { image_name: initialImage.image_name },
+    });
+    const maskCombine = g.addNode({
+      id: getPrefixedId('mask_combine'),
+      type: 'mask_combine',
+    });
+    g.addEdge(maskAlphaToMask, 'image', maskCombine, 'mask1');
+    g.addEdge(initialImageAlphaToMask, 'image', maskCombine, 'mask2');
+
+    const alphaMaskToTensorMask = g.addNode({
+      type: 'image_mask_to_tensor',
+      id: getPrefixedId('image_mask_to_tensor'),
+    });
+    g.addEdge(maskCombine, 'image', alphaMaskToTensorMask, 'image');
+    g.addEdge(alphaMaskToTensorMask, 'mask', fluxFill, 'mask');
+
+    fluxFill.image = { image_name: initialImage.image_name };
+    g.addEdge(fluxFill, 'fill_cond', denoise, 'fill_conditioning');
+
+    const expandMask = g.addNode({
+      type: 'expand_mask_with_fade',
+      id: getPrefixedId('expand_mask_with_fade'),
+      fade_size_px: params.maskBlur,
+    });
+    g.addEdge(maskCombine, 'image', expandMask, 'mask');
+
+    // Do the paste back if we are sending to gallery (in which case we want to see the full image), or if we are sending
+    // to canvas but not outputting only masked regions
+    if (!canvasSettings.sendToCanvas || !canvasSettings.outputOnlyMaskedRegions) {
+      const imageLayerBlend = g.addNode({
+        type: 'invokeai_img_blend',
+        id: getPrefixedId('image_layer_blend'),
+        layer_base: { image_name: initialImage.image_name },
+      });
+      g.addEdge(l2i, 'image', imageLayerBlend, 'layer_upper');
+      g.addEdge(expandMask, 'image', imageLayerBlend, 'mask');
+      return imageLayerBlend;
+    } else {
+      // Otherwise, just apply the mask
+      const applyMaskToImage = g.addNode({
+        type: 'apply_mask_to_image',
+        id: getPrefixedId('apply_mask_to_image'),
+        invert_mask: true,
+      });
+      g.addEdge(expandMask, 'image', applyMaskToImage, 'mask');
+      g.addEdge(l2i, 'image', applyMaskToImage, 'image');
+      return applyMaskToImage;
+    }
+  }
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXRedux.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXRedux.ts
index 2c53b3bd9f..1cef2cb95f 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXRedux.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addFLUXRedux.ts
@@ -2,8 +2,7 @@ import type { CanvasReferenceImageState, FLUXReduxConfig } from 'features/contro
 import { isFLUXReduxConfig } from 'features/controlLayers/store/types';
 import { getGlobalReferenceImageWarnings } from 'features/controlLayers/store/validators';
 import type { Graph } from 'features/nodes/util/graph/generation/Graph';
-import type { ParameterModel } from 'features/parameters/types/parameterSchemas';
-import type { Invocation } from 'services/api/types';
+import type { Invocation, MainModelConfig } from 'services/api/types';
 import { assert } from 'tsafe';
 
 type AddFLUXReduxResult = {
@@ -14,7 +13,7 @@ type AddFLUXReduxArg = {
   entities: CanvasReferenceImageState[];
   g: Graph;
   collector: Invocation<'collect'>;
-  model: ParameterModel;
+  model: MainModelConfig;
 };
 
 export const addFLUXReduxes = ({ entities, g, collector, model }: AddFLUXReduxArg): AddFLUXReduxResult => {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addIPAdapters.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addIPAdapters.ts
index 5e2d94996c..f063afbb29 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addIPAdapters.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addIPAdapters.ts
@@ -5,8 +5,7 @@ import {
 } from 'features/controlLayers/store/types';
 import { getGlobalReferenceImageWarnings } from 'features/controlLayers/store/validators';
 import type { Graph } from 'features/nodes/util/graph/generation/Graph';
-import type { ParameterModel } from 'features/parameters/types/parameterSchemas';
-import type { Invocation } from 'services/api/types';
+import type { Invocation, MainModelConfig } from 'services/api/types';
 import { assert } from 'tsafe';
 
 type AddIPAdaptersResult = {
@@ -17,7 +16,7 @@ type AddIPAdaptersArg = {
   entities: CanvasReferenceImageState[];
   g: Graph;
   collector: Invocation<'collect'>;
-  model: ParameterModel;
+  model: MainModelConfig;
 };
 
 export const addIPAdapters = ({ entities, g, collector, model }: AddIPAdaptersArg): AddIPAdaptersResult => {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addInpaint.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addInpaint.ts
index baf6974d22..fb541b2ee9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addInpaint.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addInpaint.ts
@@ -39,7 +39,7 @@ export const addInpaint = async ({
   scaledSize,
   denoising_start,
   fp32,
-}: AddInpaintArg): Promise<Invocation<'canvas_v2_mask_and_crop' | 'img_resize'>> => {
+}: AddInpaintArg): Promise<Invocation<'invokeai_img_blend' | 'apply_mask_to_image'>> => {
   denoise.denoising_start = denoising_start;
 
   const params = selectParamsSlice(state);
@@ -104,10 +104,10 @@ export const addInpaint = async ({
       edge_radius: params.canvasCoherenceEdgeSize,
       fp32,
     });
-    const canvasPasteBack = g.addNode({
-      id: getPrefixedId('canvas_v2_mask_and_crop'),
-      type: 'canvas_v2_mask_and_crop',
-      mask_blur: params.maskBlur,
+    const expandMask = g.addNode({
+      type: 'expand_mask_with_fade',
+      id: getPrefixedId('expand_mask_with_fade'),
+      fade_size_px: params.maskBlur,
     });
 
     // Resize initial image and mask to scaled size, feed into to gradient mask
@@ -128,18 +128,31 @@ export const addInpaint = async ({
     // After denoising, resize the image and mask back to original size
     g.addEdge(l2i, 'image', resizeImageToOriginalSize, 'image');
     g.addEdge(createGradientMask, 'expanded_mask_area', resizeMaskToOriginalSize, 'image');
+    g.addEdge(createGradientMask, 'expanded_mask_area', expandMask, 'mask');
 
-    // Finally, paste the generated masked image back onto the original image
-    g.addEdge(resizeImageToOriginalSize, 'image', canvasPasteBack, 'generated_image');
-    g.addEdge(resizeMaskToOriginalSize, 'image', canvasPasteBack, 'mask');
-
+    // After denoising, resize the image and mask back to original size
     // Do the paste back if we are sending to gallery (in which case we want to see the full image), or if we are sending
     // to canvas but not outputting only masked regions
     if (!canvasSettings.sendToCanvas || !canvasSettings.outputOnlyMaskedRegions) {
-      canvasPasteBack.source_image = { image_name: initialImage.image_name };
+      const imageLayerBlend = g.addNode({
+        type: 'invokeai_img_blend',
+        id: getPrefixedId('image_layer_blend'),
+        layer_base: { image_name: initialImage.image_name },
+      });
+      g.addEdge(resizeImageToOriginalSize, 'image', imageLayerBlend, 'layer_upper');
+      g.addEdge(resizeMaskToOriginalSize, 'image', imageLayerBlend, 'mask');
+      return imageLayerBlend;
+    } else {
+      // Otherwise, just apply the mask
+      const applyMaskToImage = g.addNode({
+        type: 'apply_mask_to_image',
+        id: getPrefixedId('apply_mask_to_image'),
+        invert_mask: true,
+      });
+      g.addEdge(resizeMaskToOriginalSize, 'image', applyMaskToImage, 'mask');
+      g.addEdge(resizeImageToOriginalSize, 'image', applyMaskToImage, 'image');
+      return applyMaskToImage;
     }
-
-    return canvasPasteBack;
   } else {
     // No scale before processing, much simpler
     const i2l = g.addNode({
@@ -164,11 +177,6 @@ export const addInpaint = async ({
       fp32,
       image: { image_name: initialImage.image_name },
     });
-    const canvasPasteBack = g.addNode({
-      id: getPrefixedId('canvas_v2_mask_and_crop'),
-      type: 'canvas_v2_mask_and_crop',
-      mask_blur: params.maskBlur,
-    });
 
     g.addEdge(alphaToMask, 'image', createGradientMask, 'mask');
     g.addEdge(i2l, 'latents', denoise, 'latents');
@@ -178,16 +186,35 @@ export const addInpaint = async ({
       g.addEdge(modelLoader, 'unet', createGradientMask, 'unet');
     }
     g.addEdge(createGradientMask, 'denoise_mask', denoise, 'denoise_mask');
-    g.addEdge(createGradientMask, 'expanded_mask_area', canvasPasteBack, 'mask');
 
-    g.addEdge(l2i, 'image', canvasPasteBack, 'generated_image');
+    const expandMask = g.addNode({
+      type: 'expand_mask_with_fade',
+      id: getPrefixedId('expand_mask_with_fade'),
+      fade_size_px: params.maskBlur,
+    });
+    g.addEdge(createGradientMask, 'expanded_mask_area', expandMask, 'mask');
 
     // Do the paste back if we are sending to gallery (in which case we want to see the full image), or if we are sending
     // to canvas but not outputting only masked regions
     if (!canvasSettings.sendToCanvas || !canvasSettings.outputOnlyMaskedRegions) {
-      canvasPasteBack.source_image = { image_name: initialImage.image_name };
+      const imageLayerBlend = g.addNode({
+        type: 'invokeai_img_blend',
+        id: getPrefixedId('image_layer_blend'),
+        layer_base: { image_name: initialImage.image_name },
+      });
+      g.addEdge(l2i, 'image', imageLayerBlend, 'layer_upper');
+      g.addEdge(expandMask, 'image', imageLayerBlend, 'mask');
+      return imageLayerBlend;
+    } else {
+      // Otherwise, just apply the mask
+      const applyMaskToImage = g.addNode({
+        type: 'apply_mask_to_image',
+        id: getPrefixedId('apply_mask_to_image'),
+        invert_mask: true,
+      });
+      g.addEdge(expandMask, 'image', applyMaskToImage, 'mask');
+      g.addEdge(l2i, 'image', applyMaskToImage, 'image');
+      return applyMaskToImage;
     }
-
-    return canvasPasteBack;
   }
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addNSFWChecker.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addNSFWChecker.ts
index f1a08faab1..405e778352 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addNSFWChecker.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addNSFWChecker.ts
@@ -11,7 +11,14 @@ import type { Invocation } from 'services/api/types';
 export const addNSFWChecker = (
   g: Graph,
   imageOutput: Invocation<
-    'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop' | 'flux_vae_decode' | 'sd3_l2i'
+    | 'l2i'
+    | 'img_nsfw'
+    | 'img_watermark'
+    | 'img_resize'
+    | 'invokeai_img_blend'
+    | 'apply_mask_to_image'
+    | 'flux_vae_decode'
+    | 'sd3_l2i'
   >
 ): Invocation<'img_nsfw'> => {
   const nsfw = g.addNode({
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addOutpaint.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addOutpaint.ts
index a1d6ddb738..98f40b76c2 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addOutpaint.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addOutpaint.ts
@@ -40,7 +40,7 @@ export const addOutpaint = async ({
   scaledSize,
   denoising_start,
   fp32,
-}: AddOutpaintArg): Promise<Invocation<'canvas_v2_mask_and_crop' | 'img_resize'>> => {
+}: AddOutpaintArg): Promise<Invocation<'invokeai_img_blend' | 'apply_mask_to_image'>> => {
   denoise.denoising_start = denoising_start;
 
   const params = selectParamsSlice(state);
@@ -142,29 +142,39 @@ export const addOutpaint = async ({
       type: 'img_resize',
       ...originalSize,
     });
-    const canvasPasteBack = g.addNode({
-      id: getPrefixedId('canvas_v2_mask_and_crop'),
-      type: 'canvas_v2_mask_and_crop',
-      mask_blur: params.maskBlur,
+    const expandMask = g.addNode({
+      type: 'expand_mask_with_fade',
+      id: getPrefixedId('expand_mask_with_fade'),
+      fade_size_px: params.maskBlur,
     });
-
     // Resize initial image and mask to scaled size, feed into to gradient mask
 
     // After denoising, resize the image and mask back to original size
     g.addEdge(l2i, 'image', resizeOutputImageToOriginalSize, 'image');
-    g.addEdge(createGradientMask, 'expanded_mask_area', resizeOutputMaskToOriginalSize, 'image');
-
-    // Finally, paste the generated masked image back onto the original image
-    g.addEdge(resizeOutputImageToOriginalSize, 'image', canvasPasteBack, 'generated_image');
-    g.addEdge(resizeOutputMaskToOriginalSize, 'image', canvasPasteBack, 'mask');
-
+    g.addEdge(createGradientMask, 'expanded_mask_area', expandMask, 'mask');
+    g.addEdge(expandMask, 'image', resizeOutputMaskToOriginalSize, 'image');
     // Do the paste back if we are sending to gallery (in which case we want to see the full image), or if we are sending
     // to canvas but not outputting only masked regions
     if (!canvasSettings.sendToCanvas || !canvasSettings.outputOnlyMaskedRegions) {
-      canvasPasteBack.source_image = { image_name: initialImage.image_name };
+      const imageLayerBlend = g.addNode({
+        type: 'invokeai_img_blend',
+        id: getPrefixedId('image_layer_blend'),
+        layer_base: { image_name: initialImage.image_name },
+      });
+      g.addEdge(resizeOutputImageToOriginalSize, 'image', imageLayerBlend, 'layer_upper');
+      g.addEdge(resizeOutputMaskToOriginalSize, 'image', imageLayerBlend, 'mask');
+      return imageLayerBlend;
+    } else {
+      // Otherwise, just apply the mask
+      const applyMaskToImage = g.addNode({
+        type: 'apply_mask_to_image',
+        id: getPrefixedId('apply_mask_to_image'),
+        invert_mask: true,
+      });
+      g.addEdge(resizeOutputMaskToOriginalSize, 'image', applyMaskToImage, 'mask');
+      g.addEdge(resizeOutputImageToOriginalSize, 'image', applyMaskToImage, 'image');
+      return applyMaskToImage;
     }
-
-    return canvasPasteBack;
   } else {
     infill.image = { image_name: initialImage.image_name };
     // No scale before processing, much simpler
@@ -197,11 +207,6 @@ export const addOutpaint = async ({
       fp32,
       image: { image_name: initialImage.image_name },
     });
-    const canvasPasteBack = g.addNode({
-      id: getPrefixedId('canvas_v2_mask_and_crop'),
-      type: 'canvas_v2_mask_and_crop',
-      mask_blur: params.maskBlur,
-    });
     g.addEdge(maskAlphaToMask, 'image', maskCombine, 'mask1');
     g.addEdge(initialImageAlphaToMask, 'image', maskCombine, 'mask2');
     g.addEdge(maskCombine, 'image', createGradientMask, 'mask');
@@ -214,15 +219,35 @@ export const addOutpaint = async ({
     }
 
     g.addEdge(createGradientMask, 'denoise_mask', denoise, 'denoise_mask');
-    g.addEdge(createGradientMask, 'expanded_mask_area', canvasPasteBack, 'mask');
-    g.addEdge(l2i, 'image', canvasPasteBack, 'generated_image');
+
+    const expandMask = g.addNode({
+      type: 'expand_mask_with_fade',
+      id: getPrefixedId('expand_mask_with_fade'),
+      fade_size_px: params.maskBlur,
+    });
+    g.addEdge(createGradientMask, 'expanded_mask_area', expandMask, 'mask');
 
     // Do the paste back if we are sending to gallery (in which case we want to see the full image), or if we are sending
     // to canvas but not outputting only masked regions
     if (!canvasSettings.sendToCanvas || !canvasSettings.outputOnlyMaskedRegions) {
-      canvasPasteBack.source_image = { image_name: initialImage.image_name };
+      const imageLayerBlend = g.addNode({
+        type: 'invokeai_img_blend',
+        id: getPrefixedId('image_layer_blend'),
+        layer_base: { image_name: initialImage.image_name },
+      });
+      g.addEdge(l2i, 'image', imageLayerBlend, 'layer_upper');
+      g.addEdge(expandMask, 'image', imageLayerBlend, 'mask');
+      return imageLayerBlend;
+    } else {
+      // Otherwise, just apply the mask
+      const applyMaskToImage = g.addNode({
+        type: 'apply_mask_to_image',
+        id: getPrefixedId('apply_mask_to_image'),
+        invert_mask: true,
+      });
+      g.addEdge(expandMask, 'image', applyMaskToImage, 'mask');
+      g.addEdge(l2i, 'image', applyMaskToImage, 'image');
+      return applyMaskToImage;
     }
-
-    return canvasPasteBack;
   }
 };
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addRegions.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addRegions.ts
index f804b78ab4..344e6119ef 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addRegions.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addRegions.ts
@@ -6,9 +6,8 @@ import { getPrefixedId } from 'features/controlLayers/konva/util';
 import type { CanvasRegionalGuidanceState, Rect } from 'features/controlLayers/store/types';
 import { getRegionalGuidanceWarnings } from 'features/controlLayers/store/validators';
 import type { Graph } from 'features/nodes/util/graph/generation/Graph';
-import type { ParameterModel } from 'features/parameters/types/parameterSchemas';
 import { serializeError } from 'serialize-error';
-import type { Invocation } from 'services/api/types';
+import type { Invocation, MainModelConfig } from 'services/api/types';
 import { assert } from 'tsafe';
 
 const log = logger('system');
@@ -26,7 +25,7 @@ type AddRegionsArg = {
   regions: CanvasRegionalGuidanceState[];
   g: Graph;
   bbox: Rect;
-  model: ParameterModel;
+  model: MainModelConfig;
   posCond: Invocation<'compel' | 'sdxl_compel_prompt' | 'flux_text_encoder'>;
   negCond: Invocation<'compel' | 'sdxl_compel_prompt' | 'flux_text_encoder'> | null;
   posCondCollect: Invocation<'collect'>;
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addWatermarker.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addWatermarker.ts
index 4672169393..a61b9a1cdb 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/addWatermarker.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/addWatermarker.ts
@@ -11,7 +11,14 @@ import type { Invocation } from 'services/api/types';
 export const addWatermarker = (
   g: Graph,
   imageOutput: Invocation<
-    'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop' | 'flux_vae_decode' | 'sd3_l2i'
+    | 'l2i'
+    | 'img_nsfw'
+    | 'img_watermark'
+    | 'img_resize'
+    | 'invokeai_img_blend'
+    | 'apply_mask_to_image'
+    | 'flux_vae_decode'
+    | 'sd3_l2i'
   >
 ): Invocation<'img_watermark'> => {
   const watermark = g.addNode({
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildFLUXGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildFLUXGraph.ts
index 4d6db95ad0..897b8e2c14 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildFLUXGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildFLUXGraph.ts
@@ -5,7 +5,7 @@ import { getPrefixedId } from 'features/controlLayers/konva/util';
 import { selectCanvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
 import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import { selectCanvasMetadata, selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers';
+import { addFLUXFill } from 'features/nodes/util/graph/generation/addFLUXFill';
 import { addFLUXLoRAs } from 'features/nodes/util/graph/generation/addFLUXLoRAs';
 import { addFLUXReduxes } from 'features/nodes/util/graph/generation/addFLUXRedux';
 import { addImageToImage } from 'features/nodes/util/graph/generation/addImageToImage';
@@ -22,8 +22,9 @@ import {
   getPresetModifiedPrompts,
   getSizes,
 } from 'features/nodes/util/graph/graphBuilderUtils';
+import { t } from 'i18next';
+import { selectMainModelConfig } from 'services/api/endpoints/models';
 import type { Invocation } from 'services/api/types';
-import { isNonRefinerMainModelConfig } from 'services/api/types';
 import type { Equals } from 'tsafe';
 import { assert } from 'tsafe';
 
@@ -47,9 +48,10 @@ export const buildFLUXGraph = async (
 
   const { originalSize, scaledSize } = getSizes(bbox);
 
+  const model = selectMainModelConfig(state);
+
   const {
-    model,
-    guidance,
+    guidance: baseGuidance,
     seed,
     steps,
     fluxVAE,
@@ -60,10 +62,34 @@ export const buildFLUXGraph = async (
   } = params;
 
   assert(model, 'No model found in state');
+  assert(model.base === 'flux', 'Model is not a FLUX model');
   assert(t5EncoderModel, 'No T5 Encoder model found in state');
   assert(clipEmbedModel, 'No CLIP Embed model found in state');
   assert(fluxVAE, 'No FLUX VAE model found in state');
 
+  const isFLUXFill = model.variant === 'inpaint';
+  let guidance = baseGuidance;
+  if (isFLUXFill) {
+    // FLUX Fill doesn't work with Text to Image or Image to Image generation modes. Well, technically, it does, but
+    // the outputs are garbagio.
+    //
+    // Unfortunately, we do not know the generation mode until the user clicks Invoke, so this is the first place we
+    // can check for this incompatibility.
+    //
+    // We are opting to fail loudly instead of produce garbage images, hence this being an assert.
+    //
+    // The message in this assert will be shown in a toast to the user, so we are using the translation system for it.
+    //
+    // The other asserts above are just for sanity & type check and should never be hit, so they do not have
+    // translations.
+    assert(generationMode === 'inpaint' || generationMode === 'outpaint', t('toast.fluxFillIncompatibleWithT2IAndI2I'));
+
+    // FLUX Fill wants much higher guidance values than normal FLUX - silently "fix" the value for the user.
+    // TODO(psyche): Figure out a way to alert the user that this is happening - maybe return warnings from the graph
+    // builder and toast them?
+    guidance = 30;
+  }
+
   const { positivePrompt } = getPresetModifiedPrompts(state);
 
   const g = new Graph(getPrefixedId('flux_graph'));
@@ -115,16 +141,13 @@ export const buildFLUXGraph = async (
 
   addFLUXLoRAs(state, g, denoise, modelLoader, posCond);
 
-  const modelConfig = await fetchModelConfigWithTypeGuard(model.key, isNonRefinerMainModelConfig);
-  assert(modelConfig.base === 'flux');
-
   g.upsertMetadata({
     generation_mode: 'flux_txt2img',
     guidance,
     width: originalSize.width,
     height: originalSize.height,
     positive_prompt: positivePrompt,
-    model: Graph.getModelMetadataField(modelConfig),
+    model: Graph.getModelMetadataField(model),
     seed,
     steps,
     vae: fluxVAE,
@@ -143,10 +166,27 @@ export const buildFLUXGraph = async (
   }
 
   let canvasOutput: Invocation<
-    'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop' | 'flux_vae_decode' | 'sd3_l2i'
+    | 'l2i'
+    | 'img_nsfw'
+    | 'img_watermark'
+    | 'img_resize'
+    | 'invokeai_img_blend'
+    | 'apply_mask_to_image'
+    | 'flux_vae_decode'
+    | 'sd3_l2i'
   > = l2i;
 
-  if (generationMode === 'txt2img') {
+  if (isFLUXFill) {
+    canvasOutput = await addFLUXFill({
+      state,
+      g,
+      manager,
+      l2i,
+      denoise,
+      originalSize,
+      scaledSize,
+    });
+  } else if (generationMode === 'txt2img') {
     canvasOutput = addTextToImage({ g, l2i, originalSize, scaledSize });
   } else if (generationMode === 'img2img') {
     canvasOutput = await addImageToImage({
@@ -206,7 +246,7 @@ export const buildFLUXGraph = async (
     g,
     rect: canvas.bbox.rect,
     collector: controlNetCollector,
-    model: modelConfig,
+    model,
   });
   if (controlNetResult.addedControlNets > 0) {
     g.addEdge(controlNetCollector, 'collection', denoise, 'control');
@@ -220,7 +260,7 @@ export const buildFLUXGraph = async (
     g,
     rect: canvas.bbox.rect,
     denoise,
-    model: modelConfig,
+    model,
   });
 
   const ipAdapterCollect = g.addNode({
@@ -231,7 +271,7 @@ export const buildFLUXGraph = async (
     entities: canvas.referenceImages.entities,
     g,
     collector: ipAdapterCollect,
-    model: modelConfig,
+    model,
   });
 
   const fluxReduxCollect = g.addNode({
@@ -242,7 +282,7 @@ export const buildFLUXGraph = async (
     entities: canvas.referenceImages.entities,
     g,
     collector: fluxReduxCollect,
-    model: modelConfig,
+    model,
   });
 
   const regionsResult = await addRegions({
@@ -250,7 +290,7 @@ export const buildFLUXGraph = async (
     regions: canvas.regionalGuidance.entities,
     g,
     bbox: canvas.bbox.rect,
-    model: modelConfig,
+    model,
     posCond,
     negCond: null,
     posCondCollect,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD1Graph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD1Graph.ts
index 7cb3119162..7994146ed9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD1Graph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD1Graph.ts
@@ -5,7 +5,6 @@ import { getPrefixedId } from 'features/controlLayers/konva/util';
 import { selectCanvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
 import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import { selectCanvasMetadata, selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers';
 import { addControlNets, addT2IAdapters } from 'features/nodes/util/graph/generation/addControlAdapters';
 import { addImageToImage } from 'features/nodes/util/graph/generation/addImageToImage';
 import { addInpaint } from 'features/nodes/util/graph/generation/addInpaint';
@@ -24,8 +23,8 @@ import {
   getPresetModifiedPrompts,
   getSizes,
 } from 'features/nodes/util/graph/graphBuilderUtils';
+import { selectMainModelConfig } from 'services/api/endpoints/models';
 import type { Invocation } from 'services/api/types';
-import { isNonRefinerMainModelConfig } from 'services/api/types';
 import type { Equals } from 'tsafe';
 import { assert } from 'tsafe';
 
@@ -45,9 +44,9 @@ export const buildSD1Graph = async (
   const canvas = selectCanvasSlice(state);
 
   const { bbox } = canvas;
+  const model = selectMainModelConfig(state);
 
   const {
-    model,
     cfgScale: cfg_scale,
     cfgRescaleMultiplier: cfg_rescale_multiplier,
     scheduler,
@@ -137,8 +136,7 @@ export const buildSD1Graph = async (
   g.addEdge(noise, 'noise', denoise, 'noise');
   g.addEdge(denoise, 'latents', l2i, 'latents');
 
-  const modelConfig = await fetchModelConfigWithTypeGuard(model.key, isNonRefinerMainModelConfig);
-  assert(modelConfig.base === 'sd-1' || modelConfig.base === 'sd-2');
+  assert(model.base === 'sd-1' || model.base === 'sd-2');
 
   g.upsertMetadata({
     generation_mode: 'txt2img',
@@ -148,7 +146,7 @@ export const buildSD1Graph = async (
     height: originalSize.height,
     positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
-    model: Graph.getModelMetadataField(modelConfig),
+    model: Graph.getModelMetadataField(model),
     seed,
     steps,
     rand_device: shouldUseCpuNoise ? 'cpu' : 'cuda',
@@ -170,7 +168,14 @@ export const buildSD1Graph = async (
   const denoising_start = 1 - params.img2imgStrength;
 
   let canvasOutput: Invocation<
-    'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop' | 'flux_vae_decode' | 'sd3_l2i'
+    | 'l2i'
+    | 'img_nsfw'
+    | 'img_watermark'
+    | 'img_resize'
+    | 'invokeai_img_blend'
+    | 'apply_mask_to_image'
+    | 'flux_vae_decode'
+    | 'sd3_l2i'
   > = l2i;
 
   if (generationMode === 'txt2img') {
@@ -233,7 +238,7 @@ export const buildSD1Graph = async (
     g,
     rect: canvas.bbox.rect,
     collector: controlNetCollector,
-    model: modelConfig,
+    model,
   });
   if (controlNetResult.addedControlNets > 0) {
     g.addEdge(controlNetCollector, 'collection', denoise, 'control');
@@ -251,7 +256,7 @@ export const buildSD1Graph = async (
     g,
     rect: canvas.bbox.rect,
     collector: t2iAdapterCollector,
-    model: modelConfig,
+    model,
   });
   if (t2iAdapterResult.addedT2IAdapters > 0) {
     g.addEdge(t2iAdapterCollector, 'collection', denoise, 't2i_adapter');
@@ -267,7 +272,7 @@ export const buildSD1Graph = async (
     entities: canvas.referenceImages.entities,
     g,
     collector: ipAdapterCollect,
-    model: modelConfig,
+    model,
   });
 
   const regionsResult = await addRegions({
@@ -275,7 +280,7 @@ export const buildSD1Graph = async (
     regions: canvas.regionalGuidance.entities,
     g,
     bbox: canvas.bbox.rect,
-    model: modelConfig,
+    model,
     posCond,
     negCond,
     posCondCollect,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD3Graph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD3Graph.ts
index 8c0c8edf4b..38288947d1 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD3Graph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSD3Graph.ts
@@ -5,7 +5,6 @@ import { getPrefixedId } from 'features/controlLayers/konva/util';
 import { selectCanvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
 import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import { selectCanvasMetadata, selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers';
 import { addImageToImage } from 'features/nodes/util/graph/generation/addImageToImage';
 import { addInpaint } from 'features/nodes/util/graph/generation/addInpaint';
 import { addNSFWChecker } from 'features/nodes/util/graph/generation/addNSFWChecker';
@@ -19,8 +18,8 @@ import {
   getPresetModifiedPrompts,
   getSizes,
 } from 'features/nodes/util/graph/graphBuilderUtils';
+import { selectMainModelConfig } from 'services/api/endpoints/models';
 import type { Invocation } from 'services/api/types';
-import { isNonRefinerMainModelConfig } from 'services/api/types';
 import type { Equals } from 'tsafe';
 import { assert } from 'tsafe';
 
@@ -33,6 +32,10 @@ export const buildSD3Graph = async (
   const generationMode = await manager.compositor.getGenerationMode();
   log.debug({ generationMode }, 'Building SD3 graph');
 
+  const model = selectMainModelConfig(state);
+  assert(model, 'No model found in state');
+  assert(model.base === 'sd-3');
+
   const params = selectParamsSlice(state);
   const canvasSettings = selectCanvasSettingsSlice(state);
   const canvas = selectCanvasSlice(state);
@@ -40,7 +43,6 @@ export const buildSD3Graph = async (
   const { bbox } = canvas;
 
   const {
-    model,
     cfgScale: cfg_scale,
     seed,
     steps,
@@ -52,8 +54,6 @@ export const buildSD3Graph = async (
     img2imgStrength,
   } = params;
 
-  assert(model, 'No model found in state');
-
   const { originalSize, scaledSize } = getSizes(bbox);
   const { positivePrompt, negativePrompt } = getPresetModifiedPrompts(state);
 
@@ -107,9 +107,6 @@ export const buildSD3Graph = async (
 
   g.addEdge(denoise, 'latents', l2i, 'latents');
 
-  const modelConfig = await fetchModelConfigWithTypeGuard(model.key, isNonRefinerMainModelConfig);
-  assert(modelConfig.base === 'sd-3');
-
   g.upsertMetadata({
     generation_mode: 'sd3_txt2img',
     cfg_scale,
@@ -117,7 +114,7 @@ export const buildSD3Graph = async (
     height: originalSize.height,
     positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
-    model: Graph.getModelMetadataField(modelConfig),
+    model: Graph.getModelMetadataField(model),
     seed,
     steps,
     vae: vae ?? undefined,
@@ -135,7 +132,14 @@ export const buildSD3Graph = async (
   }
 
   let canvasOutput: Invocation<
-    'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop' | 'flux_vae_decode' | 'sd3_l2i'
+    | 'l2i'
+    | 'img_nsfw'
+    | 'img_watermark'
+    | 'img_resize'
+    | 'invokeai_img_blend'
+    | 'apply_mask_to_image'
+    | 'flux_vae_decode'
+    | 'sd3_l2i'
   > = l2i;
 
   if (generationMode === 'txt2img') {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSDXLGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSDXLGraph.ts
index 02fb7e7035..ff1fd45aed 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSDXLGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/generation/buildSDXLGraph.ts
@@ -5,7 +5,6 @@ import { getPrefixedId } from 'features/controlLayers/konva/util';
 import { selectCanvasSettingsSlice } from 'features/controlLayers/store/canvasSettingsSlice';
 import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import { selectCanvasMetadata, selectCanvasSlice } from 'features/controlLayers/store/selectors';
-import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers';
 import { addControlNets, addT2IAdapters } from 'features/nodes/util/graph/generation/addControlAdapters';
 import { addImageToImage } from 'features/nodes/util/graph/generation/addImageToImage';
 import { addInpaint } from 'features/nodes/util/graph/generation/addInpaint';
@@ -24,8 +23,8 @@ import {
   getPresetModifiedPrompts,
   getSizes,
 } from 'features/nodes/util/graph/graphBuilderUtils';
+import { selectMainModelConfig } from 'services/api/endpoints/models';
 import type { Invocation } from 'services/api/types';
-import { isNonRefinerMainModelConfig } from 'services/api/types';
 import type { Equals } from 'tsafe';
 import { assert } from 'tsafe';
 
@@ -40,6 +39,10 @@ export const buildSDXLGraph = async (
   const generationMode = await manager.compositor.getGenerationMode();
   log.debug({ generationMode }, 'Building SDXL graph');
 
+  const model = selectMainModelConfig(state);
+  assert(model, 'No model found in state');
+  assert(model.base === 'sdxl');
+
   const params = selectParamsSlice(state);
   const canvasSettings = selectCanvasSettingsSlice(state);
   const canvas = selectCanvasSlice(state);
@@ -47,7 +50,6 @@ export const buildSDXLGraph = async (
   const { bbox } = canvas;
 
   const {
-    model,
     cfgScale: cfg_scale,
     cfgRescaleMultiplier: cfg_rescale_multiplier,
     scheduler,
@@ -136,9 +138,6 @@ export const buildSDXLGraph = async (
   g.addEdge(noise, 'noise', denoise, 'noise');
   g.addEdge(denoise, 'latents', l2i, 'latents');
 
-  const modelConfig = await fetchModelConfigWithTypeGuard(model.key, isNonRefinerMainModelConfig);
-  assert(modelConfig.base === 'sdxl');
-
   g.upsertMetadata({
     generation_mode: 'sdxl_txt2img',
     cfg_scale,
@@ -147,7 +146,7 @@ export const buildSDXLGraph = async (
     height: originalSize.height,
     positive_prompt: positivePrompt,
     negative_prompt: negativePrompt,
-    model: Graph.getModelMetadataField(modelConfig),
+    model: Graph.getModelMetadataField(model),
     seed,
     steps,
     rand_device: shouldUseCpuNoise ? 'cpu' : 'cuda',
@@ -175,7 +174,14 @@ export const buildSDXLGraph = async (
     : 1 - params.img2imgStrength;
 
   let canvasOutput: Invocation<
-    'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop' | 'flux_vae_decode' | 'sd3_l2i'
+    | 'l2i'
+    | 'img_nsfw'
+    | 'img_watermark'
+    | 'img_resize'
+    | 'invokeai_img_blend'
+    | 'apply_mask_to_image'
+    | 'flux_vae_decode'
+    | 'sd3_l2i'
   > = l2i;
 
   if (generationMode === 'txt2img') {
@@ -238,7 +244,7 @@ export const buildSDXLGraph = async (
     g,
     rect: canvas.bbox.rect,
     collector: controlNetCollector,
-    model: modelConfig,
+    model,
   });
   if (controlNetResult.addedControlNets > 0) {
     g.addEdge(controlNetCollector, 'collection', denoise, 'control');
@@ -256,7 +262,7 @@ export const buildSDXLGraph = async (
     g,
     rect: canvas.bbox.rect,
     collector: t2iAdapterCollector,
-    model: modelConfig,
+    model,
   });
   if (t2iAdapterResult.addedT2IAdapters > 0) {
     g.addEdge(t2iAdapterCollector, 'collection', denoise, 't2i_adapter');
@@ -272,7 +278,7 @@ export const buildSDXLGraph = async (
     entities: canvas.referenceImages.entities,
     g,
     collector: ipAdapterCollect,
-    model: modelConfig,
+    model,
   });
 
   const regionsResult = await addRegions({
@@ -280,7 +286,7 @@ export const buildSDXLGraph = async (
     regions: canvas.regionalGuidance.entities,
     g,
     bbox: canvas.bbox.rect,
-    model: modelConfig,
+    model,
     posCond,
     negCond,
     posCondCollect,
diff --git a/invokeai/frontend/web/src/features/queue/store/readiness.ts b/invokeai/frontend/web/src/features/queue/store/readiness.ts
index 33f76d0e48..64c402e11c 100644
--- a/invokeai/frontend/web/src/features/queue/store/readiness.ts
+++ b/invokeai/frontend/web/src/features/queue/store/readiness.ts
@@ -39,6 +39,8 @@ import i18n from 'i18next';
 import { debounce, groupBy, upperFirst } from 'lodash-es';
 import { atom, computed } from 'nanostores';
 import { useEffect } from 'react';
+import { selectMainModelConfig } from 'services/api/endpoints/models';
+import type { MainModelConfig } from 'services/api/types';
 import { $isConnected } from 'services/events/stores';
 
 /**
@@ -85,8 +87,10 @@ const debouncedUpdateReasons = debounce(
     store: AppStore
   ) => {
     if (tab === 'canvas') {
+      const model = selectMainModelConfig(store.getState());
       const reasons = await getReasonsWhyCannotEnqueueCanvasTab({
         isConnected,
+        model,
         canvas,
         params,
         dynamicPrompts,
@@ -314,6 +318,7 @@ const getReasonsWhyCannotEnqueueUpscaleTab = (arg: {
 
 const getReasonsWhyCannotEnqueueCanvasTab = (arg: {
   isConnected: boolean;
+  model: MainModelConfig | null | undefined;
   canvas: CanvasState;
   params: ParamsState;
   dynamicPrompts: DynamicPromptsState;
@@ -325,6 +330,7 @@ const getReasonsWhyCannotEnqueueCanvasTab = (arg: {
 }) => {
   const {
     isConnected,
+    model,
     canvas,
     params,
     dynamicPrompts,
@@ -334,7 +340,7 @@ const getReasonsWhyCannotEnqueueCanvasTab = (arg: {
     canvasIsCompositing,
     canvasIsSelectingObject,
   } = arg;
-  const { model, positivePrompt } = params;
+  const { positivePrompt } = params;
   const reasons: Reason[] = [];
 
   if (!isConnected) {
diff --git a/invokeai/frontend/web/src/features/settingsAccordions/components/GenerationSettingsAccordion/GenerationSettingsAccordion.tsx b/invokeai/frontend/web/src/features/settingsAccordions/components/GenerationSettingsAccordion/GenerationSettingsAccordion.tsx
index 0fb84c8403..52fdc2a413 100644
--- a/invokeai/frontend/web/src/features/settingsAccordions/components/GenerationSettingsAccordion/GenerationSettingsAccordion.tsx
+++ b/invokeai/frontend/web/src/features/settingsAccordions/components/GenerationSettingsAccordion/GenerationSettingsAccordion.tsx
@@ -22,6 +22,7 @@ import { selectActiveTab } from 'features/ui/store/uiSelectors';
 import { memo, useMemo } from 'react';
 import { useTranslation } from 'react-i18next';
 import { useSelectedModelConfig } from 'services/api/hooks/useSelectedModelConfig';
+import { isFluxFillMainModelModelConfig } from 'services/api/types';
 
 const formLabelProps: FormLabelProps = {
   minW: '4rem',
@@ -83,7 +84,7 @@ export const GenerationSettingsAccordion = memo(() => {
               {!isFLUX && !isSD3 && !isUpscaling && <ParamScheduler />}
               {isUpscaling && <ParamUpscaleScheduler />}
               <ParamSteps />
-              {isFLUX && <ParamGuidance />}
+              {isFLUX && modelConfig && !isFluxFillMainModelModelConfig(modelConfig) && <ParamGuidance />}
               {isUpscaling && <ParamUpscaleCFGScale />}
               {!isFLUX && !isUpscaling && <ParamCFGScale />}
             </FormControlGroup>
diff --git a/invokeai/frontend/web/src/services/api/endpoints/models.ts b/invokeai/frontend/web/src/services/api/endpoints/models.ts
index 3c7ba369ea..e697d1443f 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/models.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/models.ts
@@ -1,9 +1,16 @@
 import type { EntityState } from '@reduxjs/toolkit';
-import { createEntityAdapter } from '@reduxjs/toolkit';
+import { createEntityAdapter, createSelector } from '@reduxjs/toolkit';
 import { getSelectorsOptions } from 'app/store/createMemoizedSelector';
+import { selectParamsSlice } from 'features/controlLayers/store/paramsSlice';
 import queryString from 'query-string';
 import type { operations, paths } from 'services/api/schema';
-import type { AnyModelConfig, GetHFTokenStatusResponse, SetHFTokenArg, SetHFTokenResponse } from 'services/api/types';
+import {
+  type AnyModelConfig,
+  type GetHFTokenStatusResponse,
+  isNonRefinerMainModelConfig,
+  type SetHFTokenArg,
+  type SetHFTokenResponse,
+} from 'services/api/types';
 import type { Param0 } from 'tsafe';
 
 import type { ApiTagDescription } from '..';
@@ -313,3 +320,23 @@ export const {
 } = modelsApi;
 
 export const selectModelConfigsQuery = modelsApi.endpoints.getModelConfigs.select();
+export const selectMainModelConfig = createSelector(
+  selectModelConfigsQuery,
+  selectParamsSlice,
+  (modelConfigs, { model }) => {
+    if (!modelConfigs.data) {
+      return null;
+    }
+    if (!model) {
+      return null;
+    }
+    const modelConfig = modelConfigsAdapterSelectors.selectById(modelConfigs.data, model.key);
+    if (!modelConfig) {
+      return null;
+    }
+    if (!isNonRefinerMainModelConfig(modelConfig)) {
+      return null;
+    }
+    return modelConfig;
+  }
+);
diff --git a/invokeai/frontend/web/src/services/api/schema.ts b/invokeai/frontend/web/src/services/api/schema.ts
index ab5b14cce4..4e8190d647 100644
--- a/invokeai/frontend/web/src/services/api/schema.ts
+++ b/invokeai/frontend/web/src/services/api/schema.ts
@@ -1875,6 +1875,63 @@ export type components = {
              */
             type: "apply_tensor_mask_to_image";
         };
+        /**
+         * Apply Mask to Image
+         * @description Extracts a region from a generated image using a mask and blends it seamlessly onto a source image.
+         *     The mask uses black to indicate areas to keep from the generated image and white for areas to discard.
+         */
+        ApplyMaskToImageInvocation: {
+            /**
+             * @description The board to save the image to
+             * @default null
+             */
+            board?: components["schemas"]["BoardField"] | null;
+            /**
+             * @description Optional metadata to be saved with the image
+             * @default null
+             */
+            metadata?: components["schemas"]["MetadataField"] | null;
+            /**
+             * Id
+             * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+             */
+            id: string;
+            /**
+             * Is Intermediate
+             * @description Whether or not this is an intermediate invocation.
+             * @default false
+             */
+            is_intermediate?: boolean;
+            /**
+             * Use Cache
+             * @description Whether or not to use the cache
+             * @default true
+             */
+            use_cache?: boolean;
+            /**
+             * @description The image from which to extract the masked region
+             * @default null
+             */
+            image?: components["schemas"]["ImageField"];
+            /**
+             * @description The mask defining the region (black=keep, white=discard)
+             * @default null
+             */
+            mask?: components["schemas"]["ImageField"];
+            /**
+             * Invert Mask
+             * @description Whether to invert the mask before applying it
+             * @default false
+             */
+            invert_mask?: boolean;
+            /**
+             * type
+             * @default apply_mask_to_image
+             * @constant
+             * @enum {string}
+             */
+            type: "apply_mask_to_image";
+        };
         /**
          * BaseMetadata
          * @description Adds typing data for discriminated union.
@@ -6372,6 +6429,65 @@ export type components = {
              */
             priority: number;
         };
+        /**
+         * Expand Mask with Fade
+         * @description Expands a mask with a fade effect. The mask uses black to indicate areas to keep from the generated image and white for areas to discard.
+         *     The mask is thresholded to create a binary mask, and then a distance transform is applied to create a fade effect.
+         *     The fade size is specified in pixels, and the mask is expanded by that amount. The result is a mask with a smooth transition from black to white.
+         */
+        ExpandMaskWithFadeInvocation: {
+            /**
+             * @description The board to save the image to
+             * @default null
+             */
+            board?: components["schemas"]["BoardField"] | null;
+            /**
+             * @description Optional metadata to be saved with the image
+             * @default null
+             */
+            metadata?: components["schemas"]["MetadataField"] | null;
+            /**
+             * Id
+             * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
+             */
+            id: string;
+            /**
+             * Is Intermediate
+             * @description Whether or not this is an intermediate invocation.
+             * @default false
+             */
+            is_intermediate?: boolean;
+            /**
+             * Use Cache
+             * @description Whether or not to use the cache
+             * @default true
+             */
+            use_cache?: boolean;
+            /**
+             * @description The mask to expand
+             * @default null
+             */
+            mask?: components["schemas"]["ImageField"];
+            /**
+             * Threshold
+             * @description The threshold for the binary mask (0-255)
+             * @default 0
+             */
+            threshold?: number;
+            /**
+             * Fade Size Px
+             * @description The size of the fade in pixels
+             * @default 32
+             */
+            fade_size_px?: number;
+            /**
+             * type
+             * @default expand_mask_with_fade
+             * @constant
+             * @enum {string}
+             */
+            type: "expand_mask_with_fade";
+        };
         /** ExposedField */
         ExposedField: {
             /** Nodeid */
@@ -6380,7 +6496,7 @@ export type components = {
             fieldName: string;
         };
         /**
-         * FLUX LoRA Collection Loader
+         * Apply LoRA Collection - FLUX
          * @description Applies a collection of LoRAs to a FLUX transformer.
          */
         FLUXLoRACollectionLoader: {
@@ -7644,7 +7760,7 @@ export type components = {
             mask: components["schemas"]["TensorField"];
         };
         /**
-         * FLUX Fill
+         * FLUX Fill Conditioning
          * @description Prepare the FLUX Fill conditioning data.
          */
         FluxFillInvocation: {
@@ -7769,7 +7885,7 @@ export type components = {
             type: "flux_ip_adapter";
         };
         /**
-         * FLUX LoRA
+         * Apply LoRA - FLUX
          * @description Apply a LoRA model to a FLUX transformer and/or text encoder.
          */
         FluxLoRALoaderInvocation: {
@@ -8429,7 +8545,7 @@ export type components = {
              * @description The nodes in this graph
              */
             nodes?: {
-                [key: string]: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
+                [key: string]: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["ApplyMaskToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ExpandMaskWithFadeInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
             };
             /**
              * Edges
@@ -11301,7 +11417,7 @@ export type components = {
              * Invocation
              * @description The ID of the invocation
              */
-            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
+            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["ApplyMaskToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ExpandMaskWithFadeInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
             /**
              * Invocation Source Id
              * @description The ID of the prepared invocation's source node
@@ -11359,7 +11475,7 @@ export type components = {
              * Invocation
              * @description The ID of the invocation
              */
-            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
+            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["ApplyMaskToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ExpandMaskWithFadeInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
             /**
              * Invocation Source Id
              * @description The ID of the prepared invocation's source node
@@ -11396,6 +11512,7 @@ export type components = {
         InvocationOutputMap: {
             add: components["schemas"]["IntegerOutput"];
             alpha_mask_to_tensor: components["schemas"]["MaskOutput"];
+            apply_mask_to_image: components["schemas"]["ImageOutput"];
             apply_tensor_mask_to_image: components["schemas"]["ImageOutput"];
             blank_image: components["schemas"]["ImageOutput"];
             boolean: components["schemas"]["BooleanOutput"];
@@ -11435,6 +11552,7 @@ export type components = {
             dw_openpose_image_processor: components["schemas"]["ImageOutput"];
             dynamic_prompt: components["schemas"]["StringCollectionOutput"];
             esrgan: components["schemas"]["ImageOutput"];
+            expand_mask_with_fade: components["schemas"]["ImageOutput"];
             face_identifier: components["schemas"]["ImageOutput"];
             face_mask_detection: components["schemas"]["FaceMaskOutput"];
             face_off: components["schemas"]["FaceOffOutput"];
@@ -11656,7 +11774,7 @@ export type components = {
              * Invocation
              * @description The ID of the invocation
              */
-            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
+            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["ApplyMaskToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ExpandMaskWithFadeInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
             /**
              * Invocation Source Id
              * @description The ID of the prepared invocation's source node
@@ -11725,7 +11843,7 @@ export type components = {
              * Invocation
              * @description The ID of the invocation
              */
-            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
+            invocation: components["schemas"]["AddInvocation"] | components["schemas"]["AlphaMaskToTensorInvocation"] | components["schemas"]["ApplyMaskTensorToImageInvocation"] | components["schemas"]["ApplyMaskToImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["BoundingBoxInvocation"] | components["schemas"]["CLIPSkipInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["CalculateImageTilesEvenSplitInvocation"] | components["schemas"]["CalculateImageTilesInvocation"] | components["schemas"]["CalculateImageTilesMinimumOverlapInvocation"] | components["schemas"]["CannyEdgeDetectionInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["CanvasPasteBackInvocation"] | components["schemas"]["CanvasV2MaskAndCropInvocation"] | components["schemas"]["CenterPadCropInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["ColorMapInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ContentShuffleInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["CoreMetadataInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["CreateGradientMaskInvocation"] | components["schemas"]["CropImageToBoundingBoxInvocation"] | components["schemas"]["CropLatentsCoreInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["DWOpenposeDetectionInvocation"] | components["schemas"]["DWOpenposeImageProcessorInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["DenoiseLatentsMetaInvocation"] | components["schemas"]["DepthAnythingDepthEstimationInvocation"] | components["schemas"]["DepthAnythingImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["ExpandMaskWithFadeInvocation"] | components["schemas"]["FLUXLoRACollectionLoader"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatBatchInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FloatGenerator"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["FluxControlLoRALoaderInvocation"] | components["schemas"]["FluxControlNetInvocation"] | components["schemas"]["FluxDenoiseInvocation"] | components["schemas"]["FluxDenoiseLatentsMetaInvocation"] | components["schemas"]["FluxFillInvocation"] | components["schemas"]["FluxIPAdapterInvocation"] | components["schemas"]["FluxLoRALoaderInvocation"] | components["schemas"]["FluxModelLoaderInvocation"] | components["schemas"]["FluxReduxInvocation"] | components["schemas"]["FluxTextEncoderInvocation"] | components["schemas"]["FluxVaeDecodeInvocation"] | components["schemas"]["FluxVaeEncodeInvocation"] | components["schemas"]["FreeUInvocation"] | components["schemas"]["GetMaskBoundingBoxInvocation"] | components["schemas"]["GroundingDinoInvocation"] | components["schemas"]["HEDEdgeDetectionInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["HeuristicResizeInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["IdealSizeInvocation"] | components["schemas"]["ImageBatchInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImageGenerator"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageMaskToTensorInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageNoiseInvocation"] | components["schemas"]["ImagePanelLayoutInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerBatchInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["IntegerGenerator"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["InvertTensorMaskInvocation"] | components["schemas"]["InvokeAdjustImageHuePlusInvocation"] | components["schemas"]["InvokeEquivalentAchromaticLightnessInvocation"] | components["schemas"]["InvokeImageBlendInvocation"] | components["schemas"]["InvokeImageCompositorInvocation"] | components["schemas"]["InvokeImageDilateOrErodeInvocation"] | components["schemas"]["InvokeImageEnhanceInvocation"] | components["schemas"]["InvokeImageValueThresholdsInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["LineartAnimeEdgeDetectionInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["LineartEdgeDetectionInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LlavaOnevisionVllmInvocation"] | components["schemas"]["LoRACollectionLoader"] | components["schemas"]["LoRALoaderInvocation"] | components["schemas"]["LoRASelectorInvocation"] | components["schemas"]["MLSDDetectionInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["MaskFromIDInvocation"] | components["schemas"]["MaskTensorToImageInvocation"] | components["schemas"]["MediaPipeFaceDetectionInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["MergeMetadataInvocation"] | components["schemas"]["MergeTilesToImageInvocation"] | components["schemas"]["MetadataFieldExtractorInvocation"] | components["schemas"]["MetadataFromImageInvocation"] | components["schemas"]["MetadataInvocation"] | components["schemas"]["MetadataItemInvocation"] | components["schemas"]["MetadataItemLinkedInvocation"] | components["schemas"]["MetadataToBoolInvocation"] | components["schemas"]["MetadataToControlnetsInvocation"] | components["schemas"]["MetadataToFloatInvocation"] | components["schemas"]["MetadataToIPAdaptersInvocation"] | components["schemas"]["MetadataToIntegerInvocation"] | components["schemas"]["MetadataToLorasCollectionInvocation"] | components["schemas"]["MetadataToLorasInvocation"] | components["schemas"]["MetadataToModelInvocation"] | components["schemas"]["MetadataToSDXLLorasInvocation"] | components["schemas"]["MetadataToSDXLModelInvocation"] | components["schemas"]["MetadataToSchedulerInvocation"] | components["schemas"]["MetadataToStringInvocation"] | components["schemas"]["MetadataToT2IAdaptersInvocation"] | components["schemas"]["MetadataToVAEInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["ModelIdentifierInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["NormalMapInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["PairTileImageInvocation"] | components["schemas"]["PasteImageIntoBoundingBoxInvocation"] | components["schemas"]["PiDiNetEdgeDetectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RectangleMaskInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["SD3DenoiseInvocation"] | components["schemas"]["SD3ImageToLatentsInvocation"] | components["schemas"]["SD3LatentsToImageInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLLoRACollectionLoader"] | components["schemas"]["SDXLLoRALoaderInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["Sd3ModelLoaderInvocation"] | components["schemas"]["Sd3TextEncoderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["SegmentAnythingInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["SpandrelImageToImageAutoscaleInvocation"] | components["schemas"]["SpandrelImageToImageInvocation"] | components["schemas"]["StringBatchInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["StringGenerator"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["TileToPropertiesInvocation"] | components["schemas"]["TiledMultiDiffusionDenoiseLatents"] | components["schemas"]["UnsharpMaskInvocation"] | components["schemas"]["VAELoaderInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"];
             /**
              * Invocation Source Id
              * @description The ID of the prepared invocation's source node
@@ -13008,7 +13126,7 @@ export type components = {
             type: "llava_onevision_vllm";
         };
         /**
-         * LoRA Collection - SD1.5
+         * Apply LoRA Collection - SD1.5
          * @description Applies a collection of LoRAs to the provided UNet and CLIP models.
          */
         LoRACollectionLoader: {
@@ -13142,7 +13260,7 @@ export type components = {
             weight: number;
         };
         /**
-         * LoRA
+         * Apply LoRA - SD1.5
          * @description Apply selected lora to unet and text_encoder.
          */
         LoRALoaderInvocation: {
@@ -13310,7 +13428,7 @@ export type components = {
             weight: number;
         };
         /**
-         * LoRA Model - SD1.5
+         * Select LoRA
          * @description Selects a LoRA model and weight.
          */
         LoRASelectorInvocation: {
@@ -17864,7 +17982,7 @@ export type components = {
             type: "sdxl_compel_prompt";
         };
         /**
-         * LoRA Collection - SDXL
+         * Apply LoRA Collection - SDXL
          * @description Applies a collection of SDXL LoRAs to the provided UNet and CLIP models.
          */
         SDXLLoRACollectionLoader: {
@@ -17918,7 +18036,7 @@ export type components = {
             type: "sdxl_lora_collection_loader";
         };
         /**
-         * LoRA Model - SDXL
+         * Apply LoRA - SDXL
          * @description Apply selected lora to unet and text_encoder.
          */
         SDXLLoRALoaderInvocation: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 20f51f8ad6..9692bf2f77 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -251,6 +251,10 @@ export const isFluxMainModelModelConfig = (config: AnyModelConfig): config is Ma
   return config.type === 'main' && config.base === 'flux';
 };
 
+export const isFluxFillMainModelModelConfig = (config: AnyModelConfig): config is MainModelConfig => {
+  return config.type === 'main' && config.base === 'flux' && config.variant === 'inpaint';
+};
+
 export const isNonSDXLMainModelConfig = (config: AnyModelConfig): config is MainModelConfig => {
   return config.type === 'main' && (config.base === 'sd-1' || config.base === 'sd-2');
 };
diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index a26c194ff7..aa3dccb5d5 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "5.8.1"
+__version__ = "5.9.0rc1"