diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildMultidiffusionUpscaleGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildMultidiffusionUpscaleGraph.ts
index f6eb4cbad5..082f099b3c 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graph/buildMultidiffusionUpscaleGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildMultidiffusionUpscaleGraph.ts
@@ -12,7 +12,6 @@ import {
   NEGATIVE_CONDITIONING,
   NOISE,
   POSITIVE_CONDITIONING,
-  RESIZE,
   SDXL_MODEL_LOADER,
   SPANDREL,
   TILED_MULTI_DIFFUSION_DENOISE_LATENTS,
@@ -26,13 +25,12 @@ import { getBoardField, getSDXLStylePrompts } from './graphBuilderUtils';
 export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promise<GraphType> => {
   const { model, cfgScale: cfg_scale, scheduler, steps, vaePrecision, seed, vae } = state.generation;
   const { positivePrompt, negativePrompt } = state.controlLayers.present;
-  const { upscaleModel, upscaleInitialImage, sharpness, structure, creativity, tiledVAE, scale, tileControlnetModel } =
+  const { upscaleModel, upscaleInitialImage, sharpness, structure, creativity, tiledVAE, tileControlnetModel } =
     state.upscale;
 
   assert(model, 'No model found in state');
   assert(upscaleModel, 'No upscale model found in state');
   assert(upscaleInitialImage, 'No initial image found in state');
-  assert(scale, 'Scale is required');
   assert(tileControlnetModel, 'Tile controlnet is required');
 
   const g = new Graph();
@@ -63,24 +61,14 @@ export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promis
 
   g.addEdge(upscaleNode, 'image', unsharpMaskNode2, 'image');
 
-  const resizeNode = g.addNode({
-    id: RESIZE,
-    type: 'img_resize',
-    width: ((upscaleInitialImage.width * scale) / 8) * 8,
-    height: ((upscaleInitialImage.height * scale) / 8) * 8,
-    resample_mode: 'lanczos',
-  });
-
-  g.addEdge(unsharpMaskNode2, 'image', resizeNode, 'image');
-
   const noiseNode = g.addNode({
     id: NOISE,
     type: 'noise',
     seed,
   });
 
-  g.addEdge(resizeNode, 'width', noiseNode, 'width');
-  g.addEdge(resizeNode, 'height', noiseNode, 'height');
+  g.addEdge(unsharpMaskNode2, 'width', noiseNode, 'width');
+  g.addEdge(unsharpMaskNode2, 'height', noiseNode, 'height');
 
   const i2lNode = g.addNode({
     id: IMAGE_TO_LATENTS,
@@ -89,7 +77,7 @@ export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promis
     tiled: tiledVAE,
   });
 
-  g.addEdge(resizeNode, 'image', i2lNode, 'image');
+  g.addEdge(unsharpMaskNode2, 'image', i2lNode, 'image');
 
   const l2iNode = g.addNode({
     type: 'l2i',
@@ -199,7 +187,7 @@ export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promis
     end_step_percent: (structure + 10) * 0.025 + 0.3,
   });
 
-  g.addEdge(resizeNode, 'image', controlnetNode1, 'image');
+  g.addEdge(unsharpMaskNode2, 'image', controlnetNode1, 'image');
 
   const controlnetNode2 = g.addNode({
     id: 'controlnet_2',
@@ -212,7 +200,7 @@ export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promis
     end_step_percent: 0.8,
   });
 
-  g.addEdge(resizeNode, 'image', controlnetNode2, 'image');
+  g.addEdge(unsharpMaskNode2, 'image', controlnetNode2, 'image');
 
   const collectNode = g.addNode({
     id: CONTROL_NET_COLLECT,
diff --git a/invokeai/frontend/web/src/features/parameters/store/upscaleSlice.ts b/invokeai/frontend/web/src/features/parameters/store/upscaleSlice.ts
index d39ec24a3d..9e51308f5c 100644
--- a/invokeai/frontend/web/src/features/parameters/store/upscaleSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/upscaleSlice.ts
@@ -12,7 +12,6 @@ interface UpscaleState {
   structure: number;
   creativity: number;
   tiledVAE: boolean;
-  scale: number | null;
   tileControlnetModel: ControlNetModelConfig | null;
 }
 
@@ -24,7 +23,6 @@ const initialUpscaleState: UpscaleState = {
   structure: 0,
   creativity: 0,
   tiledVAE: false,
-  scale: null,
   tileControlnetModel: null,
 };
 
@@ -34,14 +32,6 @@ export const upscaleSlice = createSlice({
   reducers: {
     upscaleModelChanged: (state, action: PayloadAction<ParameterSpandrelImageToImageModel | null>) => {
       state.upscaleModel = action.payload;
-
-      if (state.upscaleModel) {
-        const upscaleFactor = state.upscaleModel.name.match(/x(\d+)/);
-        if (upscaleFactor && upscaleFactor[1]) {
-          const scale = parseInt(upscaleFactor[1], 10);
-          state.scale = scale;
-        }
-      }
     },
     upscaleInitialImageChanged: (state, action: PayloadAction<ImageDTO | null>) => {
       state.upscaleInitialImage = action.payload;
@@ -58,9 +48,6 @@ export const upscaleSlice = createSlice({
     sharpnessChanged: (state, action: PayloadAction<number>) => {
       state.sharpness = action.payload;
     },
-    scaleChanged: (state, action: PayloadAction<number | null>) => {
-      state.scale = action.payload;
-    },
     tileControlnetModelChanged: (state, action: PayloadAction<ControlNetModelConfig | null>) => {
       state.tileControlnetModel = action.payload;
     },
@@ -74,7 +61,6 @@ export const {
   structureChanged,
   creativityChanged,
   sharpnessChanged,
-  scaleChanged,
   tileControlnetModelChanged,
 } = upscaleSlice.actions;