diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
index 3edea0b3c0..9474a8df4e 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSDXLRefinerToGraph.ts
@@ -1,11 +1,15 @@
 import { RootState } from 'app/store/store';
-import { MetadataAccumulatorInvocation } from 'services/api/types';
+import {
+  MetadataAccumulatorInvocation,
+  SeamlessModeInvocation,
+} from 'services/api/types';
 import { NonNullableGraph } from '../../types/types';
 import {
   CANVAS_OUTPUT,
   LATENTS_TO_IMAGE,
   MASK_BLUR,
   METADATA_ACCUMULATOR,
+  REFINER_SEAMLESS,
   SDXL_CANVAS_IMAGE_TO_IMAGE_GRAPH,
   SDXL_CANVAS_INPAINT_GRAPH,
   SDXL_CANVAS_OUTPAINT_GRAPH,
@@ -21,7 +25,8 @@ import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 export const addSDXLRefinerToGraph = (
   state: RootState,
   graph: NonNullableGraph,
-  baseNodeId: string
+  baseNodeId: string,
+  modelLoaderNodeId?: string
 ): void => {
   const {
     refinerModel,
@@ -33,6 +38,8 @@ export const addSDXLRefinerToGraph = (
     refinerStart,
   } = state.sdxl;
 
+  const { seamlessXAxis, seamlessYAxis } = state.generation;
+
   if (!refinerModel) {
     return;
   }
@@ -53,6 +60,10 @@ export const addSDXLRefinerToGraph = (
     metadataAccumulator.refiner_steps = refinerSteps;
   }
 
+  const modelLoaderId = modelLoaderNodeId
+    ? modelLoaderNodeId
+    : SDXL_MODEL_LOADER;
+
   // Construct Style Prompt
   const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
     craftSDXLStylePrompt(state, true);
@@ -65,10 +76,7 @@ export const addSDXLRefinerToGraph = (
 
   graph.edges = graph.edges.filter(
     (e) =>
-      !(
-        e.source.node_id === SDXL_MODEL_LOADER &&
-        ['vae'].includes(e.source.field)
-      )
+      !(e.source.node_id === modelLoaderId && ['vae'].includes(e.source.field))
   );
 
   graph.nodes[SDXL_REFINER_MODEL_LOADER] = {
@@ -98,8 +106,39 @@ export const addSDXLRefinerToGraph = (
     denoising_end: 1,
   };
 
-  graph.edges.push(
-    {
+  // Add Seamless To Refiner
+  if (seamlessXAxis || seamlessYAxis) {
+    graph.nodes[REFINER_SEAMLESS] = {
+      id: REFINER_SEAMLESS,
+      type: 'seamless',
+      seamless_x: seamlessXAxis,
+      seamless_y: seamlessYAxis,
+    } as SeamlessModeInvocation;
+
+    graph.edges.push(
+      {
+        source: {
+          node_id: SDXL_REFINER_MODEL_LOADER,
+          field: 'unet',
+        },
+        destination: {
+          node_id: REFINER_SEAMLESS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: REFINER_SEAMLESS,
+          field: 'unet',
+        },
+        destination: {
+          node_id: SDXL_REFINER_DENOISE_LATENTS,
+          field: 'unet',
+        },
+      }
+    );
+  } else {
+    graph.edges.push({
       source: {
         node_id: SDXL_REFINER_MODEL_LOADER,
         field: 'unet',
@@ -108,7 +147,10 @@ export const addSDXLRefinerToGraph = (
         node_id: SDXL_REFINER_DENOISE_LATENTS,
         field: 'unet',
       },
-    },
+    });
+  }
+
+  graph.edges.push(
     {
       source: {
         node_id: SDXL_REFINER_MODEL_LOADER,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSeamlessToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSeamlessToLinearGraph.ts
new file mode 100644
index 0000000000..4cb298a626
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSeamlessToLinearGraph.ts
@@ -0,0 +1,79 @@
+import { RootState } from 'app/store/store';
+import { SeamlessModeInvocation } from 'services/api/types';
+import { NonNullableGraph } from '../../types/types';
+import {
+  DENOISE_LATENTS,
+  IMAGE_TO_IMAGE_GRAPH,
+  SDXL_IMAGE_TO_IMAGE_GRAPH,
+  SDXL_TEXT_TO_IMAGE_GRAPH,
+  SEAMLESS,
+  TEXT_TO_IMAGE_GRAPH,
+} from './constants';
+
+export const addSeamlessToLinearGraph = (
+  state: RootState,
+  graph: NonNullableGraph,
+  modelLoaderNodeId: string
+): void => {
+  // Remove Existing UNet Connections
+  const { seamlessXAxis, seamlessYAxis } = state.generation;
+
+  graph.nodes[SEAMLESS] = {
+    id: SEAMLESS,
+    type: 'seamless',
+    seamless_x: seamlessXAxis,
+    seamless_y: seamlessYAxis,
+  } as SeamlessModeInvocation;
+
+  graph.edges = graph.edges.filter(
+    (e) =>
+      !(
+        e.source.node_id === modelLoaderNodeId &&
+        ['unet'].includes(e.source.field)
+      ) &&
+      !(
+        e.source.node_id === modelLoaderNodeId &&
+        ['vae'].includes(e.source.field)
+      )
+  );
+
+  if (
+    graph.id === TEXT_TO_IMAGE_GRAPH ||
+    graph.id === IMAGE_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_TEXT_TO_IMAGE_GRAPH ||
+    graph.id === SDXL_IMAGE_TO_IMAGE_GRAPH
+  ) {
+    graph.edges.push(
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'unet',
+        },
+        destination: {
+          node_id: SEAMLESS,
+          field: 'unet',
+        },
+      },
+      {
+        source: {
+          node_id: modelLoaderNodeId,
+          field: 'vae',
+        },
+        destination: {
+          node_id: SEAMLESS,
+          field: 'vae',
+        },
+      },
+      {
+        source: {
+          node_id: SEAMLESS,
+          field: 'unet',
+        },
+        destination: {
+          node_id: DENOISE_LATENTS,
+          field: 'unet',
+        },
+      }
+    );
+  }
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
index 982a09357f..a514f0ead9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearImageToImageGraph.ts
@@ -10,6 +10,7 @@ import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
@@ -24,6 +25,7 @@ import {
   NOISE,
   POSITIVE_CONDITIONING,
   RESIZE,
+  SEAMLESS,
 } from './constants';
 
 /**
@@ -49,6 +51,8 @@ export const buildLinearImageToImageGraph = (
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
     vaePrecision,
+    seamlessXAxis,
+    seamlessYAxis,
   } = state.generation;
 
   // TODO: add batch functionality
@@ -80,6 +84,8 @@ export const buildLinearImageToImageGraph = (
     throw new Error('No model found in state');
   }
 
+  let modelLoaderNodeId = MAIN_MODEL_LOADER;
+
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
@@ -338,11 +344,17 @@ export const buildLinearImageToImageGraph = (
     },
   });
 
+  // Add Seamless To Graph
+  if (seamlessXAxis || seamlessYAxis) {
+    addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
+    modelLoaderNodeId = SEAMLESS;
+  }
+
   // optionally add custom VAE
-  addVAEToGraph(state, graph, MAIN_MODEL_LOADER);
+  addVAEToGraph(state, graph, modelLoaderNodeId);
 
   // add LoRA support
-  addLoRAsToGraph(state, graph, DENOISE_LATENTS);
+  addLoRAsToGraph(state, graph, DENOISE_LATENTS, modelLoaderNodeId);
 
   // add dynamic prompts - also sets up core iteration and seed
   addDynamicPromptsToGraph(state, graph);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
index 42ea07c923..553cf0f548 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLImageToImageGraph.ts
@@ -11,6 +11,7 @@ import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
@@ -20,10 +21,12 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
+  REFINER_SEAMLESS,
   RESIZE,
   SDXL_DENOISE_LATENTS,
   SDXL_IMAGE_TO_IMAGE_GRAPH,
   SDXL_MODEL_LOADER,
+  SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
@@ -49,6 +52,8 @@ export const buildLinearSDXLImageToImageGraph = (
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
     vaePrecision,
+    seamlessXAxis,
+    seamlessYAxis,
   } = state.generation;
 
   const {
@@ -79,6 +84,9 @@ export const buildLinearSDXLImageToImageGraph = (
     throw new Error('No model found in state');
   }
 
+  // Model Loader ID
+  let modelLoaderNodeId = SDXL_MODEL_LOADER;
+
   const use_cpu = shouldUseNoiseSettings
     ? shouldUseCpuNoise
     : initialGenerationState.shouldUseCpuNoise;
@@ -351,15 +359,23 @@ export const buildLinearSDXLImageToImageGraph = (
     },
   });
 
-  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
+  // Add Seamless To Graph
+  if (seamlessXAxis || seamlessYAxis) {
+    addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
+    modelLoaderNodeId = SEAMLESS;
+  }
 
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
     addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+    modelLoaderNodeId = REFINER_SEAMLESS;
   }
 
   // optionally add custom VAE
-  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+  addVAEToGraph(state, graph, modelLoaderNodeId);
+
+  // Add LoRA Support
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, modelLoaderNodeId);
 
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
index a74884f23b..e5a4460d5b 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearSDXLTextToImageGraph.ts
@@ -7,6 +7,7 @@ import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
 import { addSDXLLoRAsToGraph } from './addSDXLLoRAstoGraph';
 import { addSDXLRefinerToGraph } from './addSDXLRefinerToGraph';
+import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
@@ -15,9 +16,11 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
+  REFINER_SEAMLESS,
   SDXL_DENOISE_LATENTS,
   SDXL_MODEL_LOADER,
   SDXL_TEXT_TO_IMAGE_GRAPH,
+  SEAMLESS,
 } from './constants';
 import { craftSDXLStylePrompt } from './helpers/craftSDXLStylePrompt';
 
@@ -38,6 +41,8 @@ export const buildLinearSDXLTextToImageGraph = (
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
     vaePrecision,
+    seamlessXAxis,
+    seamlessYAxis,
   } = state.generation;
 
   const {
@@ -61,6 +66,9 @@ export const buildLinearSDXLTextToImageGraph = (
   const { craftedPositiveStylePrompt, craftedNegativeStylePrompt } =
     craftSDXLStylePrompt(state, shouldConcatSDXLStylePrompt);
 
+  // Model Loader ID
+  let modelLoaderNodeId = SDXL_MODEL_LOADER;
+
   /**
    * The easiest way to build linear graphs is to do it in the node editor, then copy and paste the
    * full graph here as a template. Then use the parameters from app state and set friendlier node
@@ -244,16 +252,23 @@ export const buildLinearSDXLTextToImageGraph = (
     },
   });
 
+  // Add Seamless To Graph
+  if (seamlessXAxis || seamlessYAxis) {
+    addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
+    modelLoaderNodeId = SEAMLESS;
+  }
+
   // Add Refiner if enabled
   if (shouldUseSDXLRefiner) {
     addSDXLRefinerToGraph(state, graph, SDXL_DENOISE_LATENTS);
+    modelLoaderNodeId = REFINER_SEAMLESS;
   }
 
   // optionally add custom VAE
-  addVAEToGraph(state, graph, SDXL_MODEL_LOADER);
+  addVAEToGraph(state, graph, modelLoaderNodeId);
 
   // add LoRA support
-  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, SDXL_MODEL_LOADER);
+  addSDXLLoRAsToGraph(state, graph, SDXL_DENOISE_LATENTS, modelLoaderNodeId);
 
   // add controlnet, mutating `graph`
   addControlNetToLinearGraph(state, graph, SDXL_DENOISE_LATENTS);
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index 99a1ec7420..d07534bdd9 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -10,6 +10,7 @@ import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
 import { addDynamicPromptsToGraph } from './addDynamicPromptsToGraph';
 import { addLoRAsToGraph } from './addLoRAsToGraph';
 import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
+import { addSeamlessToLinearGraph } from './addSeamlessToLinearGraph';
 import { addVAEToGraph } from './addVAEToGraph';
 import { addWatermarkerToGraph } from './addWatermarkerToGraph';
 import {
@@ -22,6 +23,7 @@ import {
   NOISE,
   ONNX_MODEL_LOADER,
   POSITIVE_CONDITIONING,
+  SEAMLESS,
   TEXT_TO_IMAGE_GRAPH,
 } from './constants';
 
@@ -42,6 +44,8 @@ export const buildLinearTextToImageGraph = (
     shouldUseCpuNoise,
     shouldUseNoiseSettings,
     vaePrecision,
+    seamlessXAxis,
+    seamlessYAxis,
   } = state.generation;
 
   const use_cpu = shouldUseNoiseSettings
@@ -55,7 +59,7 @@ export const buildLinearTextToImageGraph = (
 
   const isUsingOnnxModel = model.model_type === 'onnx';
 
-  const modelLoaderNodeId = isUsingOnnxModel
+  let modelLoaderNodeId = isUsingOnnxModel
     ? ONNX_MODEL_LOADER
     : MAIN_MODEL_LOADER;
 
@@ -258,6 +262,12 @@ export const buildLinearTextToImageGraph = (
     },
   });
 
+  // Add Seamless To Graph
+  if (seamlessXAxis || seamlessYAxis) {
+    addSeamlessToLinearGraph(state, graph, modelLoaderNodeId);
+    modelLoaderNodeId = SEAMLESS;
+  }
+
   // optionally add custom VAE
   addVAEToGraph(state, graph, modelLoaderNodeId);
 
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index c701386898..8ada7393dd 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -56,6 +56,8 @@ export const SDXL_REFINER_POSITIVE_CONDITIONING =
 export const SDXL_REFINER_NEGATIVE_CONDITIONING =
   'sdxl_refiner_negative_conditioning';
 export const SDXL_REFINER_DENOISE_LATENTS = 'sdxl_refiner_denoise_latents';
+export const SEAMLESS = 'seamless';
+export const REFINER_SEAMLESS = 'refiner_seamless';
 
 // friendly graph ids
 export const TEXT_TO_IMAGE_GRAPH = 'text_to_image_graph';
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
index 4667ca63c0..2b40eca382 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabParameters.tsx
@@ -2,6 +2,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/Para
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
+import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import { memo } from 'react';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
 import ParamSDXLRefinerCollapse from './ParamSDXLRefinerCollapse';
@@ -17,6 +18,7 @@ const SDXLImageToImageTabParameters = () => {
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
+      <ParamSeamlessCollapse />
     </>
   );
 };
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
index 084c12af61..ff47a42207 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLTextToImageTabParameters.tsx
@@ -2,6 +2,7 @@ import ParamDynamicPromptsCollapse from 'features/dynamicPrompts/components/Para
 import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
 import ParamControlNetCollapse from 'features/parameters/components/Parameters/ControlNet/ParamControlNetCollapse';
 import ParamNoiseCollapse from 'features/parameters/components/Parameters/Noise/ParamNoiseCollapse';
+import ParamSeamlessCollapse from 'features/parameters/components/Parameters/Seamless/ParamSeamlessCollapse';
 import TextToImageTabCoreParameters from 'features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters';
 import { memo } from 'react';
 import ParamSDXLPromptArea from './ParamSDXLPromptArea';
@@ -17,6 +18,7 @@ const SDXLTextToImageTabParameters = () => {
       <ParamLoraCollapse />
       <ParamDynamicPromptsCollapse />
       <ParamNoiseCollapse />
+      <ParamSeamlessCollapse />
     </>
   );
 };
diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 6cff92a136..9bdc16ce77 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -9,7 +9,6 @@ export const initialConfigState: AppConfig = {
   disabledFeatures: ['lightbox', 'faceRestore', 'batches'],
   disabledSDFeatures: [
     'variation',
-    'seamless',
     'symmetry',
     'hires',
     'perlinNoise',
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index c089798721..6dee0fdaa2 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -2092,7 +2092,7 @@ export type components = {
        * @description The nodes in this graph
        */
       nodes?: {
-        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
       /**
        * Edges
@@ -2135,7 +2135,7 @@ export type components = {
        * @description The results of node executions
        */
       results: {
-        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
+        [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"];
       };
       /**
        * Errors
@@ -5707,6 +5707,73 @@ export type components = {
      * @enum {string}
      */
     SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
+    /**
+     * Seamless
+     * @description Applies the seamless transformation to the Model UNet and VAE.
+     */
+    SeamlessModeInvocation: {
+      /**
+       * Id
+       * @description The id of this node. Must be unique among all nodes.
+       */
+      id: string;
+      /**
+       * Is Intermediate
+       * @description Whether or not this node is an intermediate node.
+       * @default false
+       */
+      is_intermediate?: boolean;
+      /**
+       * Type
+       * @default seamless
+       * @enum {string}
+       */
+      type: "seamless";
+      /**
+       * UNet
+       * @description UNet (scheduler, LoRAs)
+       */
+      unet?: components["schemas"]["UNetField"];
+      /**
+       * VAE
+       * @description VAE model to load
+       */
+      vae?: components["schemas"]["VaeField"];
+      /**
+       * Seamless Y
+       * @description Specify whether Y axis is seamless
+       * @default true
+       */
+      seamless_y?: boolean;
+      /**
+       * Seamless X
+       * @description Specify whether X axis is seamless
+       * @default true
+       */
+      seamless_x?: boolean;
+    };
+    /**
+     * SeamlessModeOutput
+     * @description Modified Seamless Model output
+     */
+    SeamlessModeOutput: {
+      /**
+       * Type
+       * @default seamless_output
+       * @enum {string}
+       */
+      type: "seamless_output";
+      /**
+       * UNet
+       * @description UNet (scheduler, LoRAs)
+       */
+      unet?: components["schemas"]["UNetField"];
+      /**
+       * VAE
+       * @description VAE
+       */
+      vae?: components["schemas"]["VaeField"];
+    };
     /**
      * Segment Anything Processor
      * @description Applies segment anything processing to image
@@ -6196,6 +6263,11 @@ export type components = {
        * @description Loras to apply on model loading
        */
       loras: components["schemas"]["LoraInfo"][];
+      /**
+       * Seamless Axes
+       * @description Axes("x" and "y") to which apply seamless
+       */
+      seamless_axes?: string[];
     };
     /** Upscaler */
     Upscaler: {
@@ -6230,6 +6302,11 @@ export type components = {
        * @description Info to load vae submodel
        */
       vae: components["schemas"]["ModelInfo"];
+      /**
+       * Seamless Axes
+       * @description Axes("x" and "y") to which apply seamless
+       */
+      seamless_axes?: string[];
     };
     /**
      * VAE
@@ -6412,18 +6489,6 @@ export type components = {
      * @enum {string}
      */
     StableDiffusionOnnxModelFormat: "olive" | "onnx";
-    /**
-     * ControlNetModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    ControlNetModelFormat: "checkpoint" | "diffusers";
-    /**
-     * StableDiffusion2ModelFormat
-     * @description An enumeration.
-     * @enum {string}
-     */
-    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
     /**
      * StableDiffusionXLModelFormat
      * @description An enumeration.
@@ -6436,6 +6501,18 @@ export type components = {
      * @enum {string}
      */
     StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+    /**
+     * ControlNetModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    ControlNetModelFormat: "checkpoint" | "diffusers";
+    /**
+     * StableDiffusion2ModelFormat
+     * @description An enumeration.
+     * @enum {string}
+     */
+    StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
   };
   responses: never;
   parameters: never;
@@ -6552,7 +6629,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
@@ -6593,7 +6670,7 @@ export type operations = {
     };
     requestBody: {
       content: {
-        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
+        "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageLuminosityAdjustmentInvocation"] | components["schemas"]["ImageSaturationAdjustmentInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"];
       };
     };
     responses: {
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index 6b064edab3..51e2459b7f 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -130,6 +130,7 @@ export type ESRGANInvocation = s['ESRGANInvocation'];
 export type DivideInvocation = s['DivideInvocation'];
 export type ImageNSFWBlurInvocation = s['ImageNSFWBlurInvocation'];
 export type ImageWatermarkInvocation = s['ImageWatermarkInvocation'];
+export type SeamlessModeInvocation = s['SeamlessModeInvocation'];
 
 // ControlNet Nodes
 export type ControlNetInvocation = s['ControlNetInvocation'];