diff --git a/invokeai/app/services/images/images_default.py b/invokeai/app/services/images/images_default.py
index 74aeeccca5..ff21731a50 100644
--- a/invokeai/app/services/images/images_default.py
+++ b/invokeai/app/services/images/images_default.py
@@ -154,7 +154,7 @@ class ImageService(ImageServiceABC):
             self.__invoker.services.logger.error("Image record not found")
             raise
         except Exception as e:
-            self.__invoker.services.logger.error("Problem getting image DTO")
+            self.__invoker.services.logger.error("Problem getting image metadata")
             raise e
 
     def get_workflow(self, image_name: str) -> Optional[WorkflowWithoutID]:
diff --git a/invokeai/backend/model_management/seamless.py b/invokeai/backend/model_management/seamless.py
index e145c6f481..fb9112b56d 100644
--- a/invokeai/backend/model_management/seamless.py
+++ b/invokeai/backend/model_management/seamless.py
@@ -30,6 +30,8 @@ def set_seamless(model: Union[UNet2DConditionModel, AutoencoderKL], seamless_axe
     # Callable: (input: Tensor, weight: Tensor, bias: Optional[Tensor]) -> Tensor
     to_restore: list[tuple[nn.Conv2d | nn.ConvTranspose2d, Callable]] = []
     try:
+        # Hard coded to skip down block layers, allowing for seamless tiling at the expense of prompt adherence
+        skipped_layers = 1
         for m_name, m in model.named_modules():
             if not isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)):
                 continue
@@ -40,8 +42,7 @@ def set_seamless(model: Union[UNet2DConditionModel, AutoencoderKL], seamless_axe
                 block_num = int(block_num)
                 resnet_num = int(resnet_num)
 
-                # Could be configurable to allow skipping arbitrary numbers of down blocks
-                if block_num >= len(model.down_blocks):
+                if block_num >= len(model.down_blocks) - skipped_layers:
                     continue
 
                 # Skip the second resnet (could be configurable)
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/addHrfToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/addHrfToGraph.ts
index daa214364d..7413302fa5 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/addHrfToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/addHrfToGraph.ts
@@ -23,6 +23,7 @@ import {
   NOISE,
   NOISE_HRF,
   RESIZE_HRF,
+  SEAMLESS,
   VAE_LOADER,
 } from './constants';
 import { setMetadataReceivingNode, upsertMetadata } from './metadata';
@@ -30,7 +31,6 @@ import { setMetadataReceivingNode, upsertMetadata } from './metadata';
 // Copy certain connections from previous DENOISE_LATENTS to new DENOISE_LATENTS_HRF.
 function copyConnectionsToDenoiseLatentsHrf(graph: NonNullableGraph): void {
   const destinationFields = [
-    'vae',
     'control',
     'ip_adapter',
     'metadata',
@@ -107,9 +107,10 @@ export const addHrfToGraph = (state: RootState, graph: NonNullableGraph): void =
   }
   const log = logger('txt2img');
 
-  const { vae } = state.generation;
+  const { vae, seamlessXAxis, seamlessYAxis } = state.generation;
   const { hrfStrength, hrfEnabled, hrfMethod } = state.hrf;
   const isAutoVae = !vae;
+  const isSeamlessEnabled = seamlessXAxis || seamlessYAxis;
   const width = state.generation.width;
   const height = state.generation.height;
   const optimalDimension = selectOptimalDimension(state);
@@ -158,7 +159,7 @@ export const addHrfToGraph = (state: RootState, graph: NonNullableGraph): void =
     },
     {
       source: {
-        node_id: isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
+        node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
         field: 'vae',
       },
       destination: {
@@ -259,7 +260,7 @@ export const addHrfToGraph = (state: RootState, graph: NonNullableGraph): void =
   graph.edges.push(
     {
       source: {
-        node_id: isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
+        node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
         field: 'vae',
       },
       destination: {
@@ -322,7 +323,7 @@ export const addHrfToGraph = (state: RootState, graph: NonNullableGraph): void =
   graph.edges.push(
     {
       source: {
-        node_id: isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
+        node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
         field: 'vae',
       },
       destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/addSeamlessToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/addSeamlessToLinearGraph.ts
index 850b2a65bd..803437e968 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/addSeamlessToLinearGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/addSeamlessToLinearGraph.ts
@@ -14,6 +14,7 @@ import {
   SDXL_IMAGE_TO_IMAGE_GRAPH,
   SDXL_TEXT_TO_IMAGE_GRAPH,
   SEAMLESS,
+  VAE_LOADER,
 } from './constants';
 import { upsertMetadata } from './metadata';
 
@@ -23,7 +24,8 @@ export const addSeamlessToLinearGraph = (
   modelLoaderNodeId: string
 ): void => {
   // Remove Existing UNet Connections
-  const { seamlessXAxis, seamlessYAxis } = state.generation;
+  const { seamlessXAxis, seamlessYAxis, vae } = state.generation;
+  const isAutoVae = !vae;
 
   graph.nodes[SEAMLESS] = {
     id: SEAMLESS,
@@ -32,6 +34,15 @@ export const addSeamlessToLinearGraph = (
     seamless_y: seamlessYAxis,
   } as SeamlessModeInvocation;
 
+  if (!isAutoVae) {
+    graph.nodes[VAE_LOADER] = {
+      type: 'vae_loader',
+      id: VAE_LOADER,
+      is_intermediate: true,
+      vae_model: vae,
+    };
+  }
+
   if (seamlessXAxis) {
     upsertMetadata(graph, {
       seamless_x: seamlessXAxis,
@@ -75,7 +86,7 @@ export const addSeamlessToLinearGraph = (
     },
     {
       source: {
-        node_id: modelLoaderNodeId,
+        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: 'vae',
       },
       destination: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/addVAEToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/addVAEToGraph.ts
index b886c9b7d5..95781d08e7 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/addVAEToGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/addVAEToGraph.ts
@@ -21,6 +21,7 @@ import {
   SDXL_IMAGE_TO_IMAGE_GRAPH,
   SDXL_REFINER_INPAINT_CREATE_MASK,
   SDXL_TEXT_TO_IMAGE_GRAPH,
+  SEAMLESS,
   TEXT_TO_IMAGE_GRAPH,
   VAE_LOADER,
 } from './constants';
@@ -31,15 +32,16 @@ export const addVAEToGraph = (
   graph: NonNullableGraph,
   modelLoaderNodeId: string = MAIN_MODEL_LOADER
 ): void => {
-  const { vae, canvasCoherenceMode } = state.generation;
+  const { vae, canvasCoherenceMode, seamlessXAxis, seamlessYAxis } = state.generation;
   const { boundingBoxScaleMethod } = state.canvas;
   const { refinerModel } = state.sdxl;
 
   const isUsingScaledDimensions = ['auto', 'manual'].includes(boundingBoxScaleMethod);
 
   const isAutoVae = !vae;
+  const isSeamlessEnabled = seamlessXAxis || seamlessYAxis;
 
-  if (!isAutoVae) {
+  if (!isAutoVae && !isSeamlessEnabled) {
     graph.nodes[VAE_LOADER] = {
       type: 'vae_loader',
       id: VAE_LOADER,
@@ -56,7 +58,7 @@ export const addVAEToGraph = (
   ) {
     graph.edges.push({
       source: {
-        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+        node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: 'vae',
       },
       destination: {
@@ -74,7 +76,7 @@ export const addVAEToGraph = (
   ) {
     graph.edges.push({
       source: {
-        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+        node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: 'vae',
       },
       destination: {
@@ -92,7 +94,7 @@ export const addVAEToGraph = (
   ) {
     graph.edges.push({
       source: {
-        node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+        node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
         field: 'vae',
       },
       destination: {
@@ -111,7 +113,7 @@ export const addVAEToGraph = (
     graph.edges.push(
       {
         source: {
-          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
           field: 'vae',
         },
         destination: {
@@ -121,7 +123,7 @@ export const addVAEToGraph = (
       },
       {
         source: {
-          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
           field: 'vae',
         },
         destination: {
@@ -131,7 +133,7 @@ export const addVAEToGraph = (
       },
       {
         source: {
-          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
           field: 'vae',
         },
         destination: {
@@ -145,7 +147,7 @@ export const addVAEToGraph = (
     if (canvasCoherenceMode !== 'unmasked') {
       graph.edges.push({
         source: {
-          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
           field: 'vae',
         },
         destination: {
@@ -160,7 +162,7 @@ export const addVAEToGraph = (
     if (graph.id === SDXL_CANVAS_INPAINT_GRAPH || graph.id === SDXL_CANVAS_OUTPAINT_GRAPH) {
       graph.edges.push({
         source: {
-          node_id: isAutoVae ? modelLoaderNodeId : VAE_LOADER,
+          node_id: isSeamlessEnabled ? SEAMLESS : isAutoVae ? modelLoaderNodeId : VAE_LOADER,
           field: 'vae',
         },
         destination: {