feat(ui): update staging handling to work w/ cropped mask

invokeai/frontend/web/src/features/controlLayers/konva/CanvasStagingArea.ts

@@ -18,55 +18,47 @@ export class CanvasStagingArea {
 
   async render() {
     const session = this.manager.stateApi.getSession();
+    const bboxRect = this.manager.stateApi.getBbox().rect;
     const shouldShowStagedImage = this.manager.stateApi.getShouldShowStagedImage();
 
     this.selectedImage = session.stagedImages[session.selectedStagedImageIndex] ?? null;
 
     if (this.selectedImage) {
+      const { imageDTO, offsetX, offsetY } = this.selectedImage;
       if (this.image) {
-        if (
-          !this.image.isLoading &&
-          !this.image.isError &&
-          this.image.imageName !== this.selectedImage.imageDTO.image_name
-        ) {
-          await this.image.updateImageSource(this.selectedImage.imageDTO.image_name);
+        if (!this.image.isLoading && !this.image.isError && this.image.imageName !== imageDTO.image_name) {
+          this.image.konvaImageGroup.visible(false);
+          this.image.konvaImage?.width(imageDTO.width);
+          this.image.konvaImage?.height(imageDTO.height);
+          this.image.konvaImageGroup.x(bboxRect.x + offsetX);
+          this.image.konvaImageGroup.y(bboxRect.y + offsetY);
+          await this.image.updateImageSource(imageDTO.image_name);
         }
-        this.image.konvaImageGroup.x(this.selectedImage.rect.x);
-        this.image.konvaImageGroup.y(this.selectedImage.rect.y);
-        this.image.konvaImageGroup.visible(shouldShowStagedImage);
       } else {
-        const { image_name } = this.selectedImage.imageDTO;
-        const { x, y, width, height } = this.selectedImage.rect;
-        this.image = new CanvasImage(
-          {
-            id: 'staging-area-image',
-            type: 'image',
-            x,
-            y,
+        const { image_name, width, height } = imageDTO;
+        this.image = new CanvasImage({
+          id: 'staging-area-image',
+          type: 'image',
+          x: 0,
+          y: 0,
+          width,
+          height,
+          filters: [],
+          image: {
+            name: image_name,
             width,
             height,
-            filters: [],
-            image: {
-              name: image_name,
-              width,
-              height,
-            },
           },
-          {
-            onLoad: (konvaImage) => {
-              if (this.selectedImage) {
-                konvaImage.width(this.selectedImage.rect.width);
-                konvaImage.height(this.selectedImage.rect.height);
-              }
-              this.manager.stateApi.resetLastProgressEvent();
-              this.image?.konvaImageGroup.visible(shouldShowStagedImage);
-            },
-          }
-        );
+        });
         this.group.add(this.image.konvaImageGroup);
-        await this.image.updateImageSource(this.selectedImage.imageDTO.image_name);
-        this.image.konvaImageGroup.visible(shouldShowStagedImage);
+        this.image.konvaImage?.width(imageDTO.width);
+        this.image.konvaImage?.height(imageDTO.height);
+        this.image.konvaImageGroup.x(bboxRect.x + offsetX);
+        this.image.konvaImageGroup.y(bboxRect.y + offsetY);
+        await this.image.updateImageSource(imageDTO.image_name);
       }
+      this.manager.stateApi.resetLastProgressEvent();
+      this.image.konvaImageGroup.visible(shouldShowStagedImage);
     } else {
       this.image?.konvaImageGroup.visible(false);
     }

invokeai/frontend/web/src/features/controlLayers/store/canvasV2Slice.ts

@@ -15,7 +15,10 @@ import { regionsReducers } from 'features/controlLayers/store/regionsReducers';
 import { sessionReducers } from 'features/controlLayers/store/sessionReducers';
 import { settingsReducers } from 'features/controlLayers/store/settingsReducers';
 import { toolReducers } from 'features/controlLayers/store/toolReducers';
+import { getScaledBoundingBoxDimensions } from 'features/controlLayers/util/getScaledBoundingBoxDimensions';
 import { initialAspectRatioState } from 'features/parameters/components/DocumentSize/constants';
+import { getOptimalDimension } from 'features/parameters/util/optimalDimension';
+import { pick } from 'lodash-es';
 import { atom } from 'nanostores';
 import type { InvocationDenoiseProgressEvent } from 'services/events/types';
 
@@ -158,6 +161,12 @@ export const canvasV2Slice = createSlice({
     },
     canvasReset: (state) => {
       state.bbox = deepClone(initialState.bbox);
+      const optimalDimension = getOptimalDimension(state.params.model);
+      state.bbox.rect.width = optimalDimension;
+      state.bbox.rect.height = optimalDimension;
+      const size = pick(state.bbox.rect, 'width', 'height');
+      state.bbox.scaledSize = getScaledBoundingBoxDimensions(size, optimalDimension);
+
       state.controlAdapters = deepClone(initialState.controlAdapters);
       state.ipAdapters = deepClone(initialState.ipAdapters);
       state.layers = deepClone(initialState.layers);
@@ -195,6 +204,7 @@ export const {
   bboxSizeOptimized,
   // layers
   layerAdded,
+  layerAddedFromStagingArea,
   layerRecalled,
   layerDeleted,
   layerReset,

invokeai/frontend/web/src/features/controlLayers/store/layersReducers.ts

@@ -11,8 +11,10 @@ import type {
   EraserLine,
   ImageObjectAddedArg,
   LayerEntity,
+  Position,
   RectShape,
   ScaleChangedArg,
+  StagingAreaImage,
 } from './types';
 import { imageDTOToImageObject, imageDTOToImageWithDims } from './types';
 
@@ -43,6 +45,32 @@ export const layersReducers = {
     },
     prepare: () => ({ payload: { id: uuidv4() } }),
   },
+  layerAddedFromStagingArea: {
+    reducer: (
+      state,
+      action: PayloadAction<{ id: string; objectId: string; stagingAreaImage: StagingAreaImage; pos: Position }>
+    ) => {
+      const { id, objectId, stagingAreaImage, pos } = action.payload;
+      const { imageDTO, offsetX, offsetY } = stagingAreaImage;
+      const imageObject = imageDTOToImageObject(id, objectId, imageDTO);
+      state.layers.entities.push({
+        id,
+        type: 'layer',
+        isEnabled: true,
+        bbox: null,
+        bboxNeedsUpdate: false,
+        objects: [imageObject],
+        opacity: 1,
+        x: pos.x + offsetX,
+        y: pos.y + offsetY,
+      });
+      state.selectedEntityIdentifier = { type: 'layer', id };
+      state.layers.imageCache = null;
+    },
+    prepare: (payload: { stagingAreaImage: StagingAreaImage; pos: Position }) => ({
+      payload: { ...payload, id: uuidv4(), objectId: uuidv4() },
+    }),
+  },
   layerRecalled: (state, action: PayloadAction<{ data: LayerEntity }>) => {
     const { data } = action.payload;
     state.layers.entities.push(data);

invokeai/frontend/web/src/features/controlLayers/store/paramsReducers.ts

@@ -60,7 +60,6 @@ export const paramsReducers = {
     }
 
     // Update the bbox size to match the new model's optimal size
-    // TODO(psyche): Should we change the document size too?
     const optimalDimension = getOptimalDimension(model);
     if (!getIsSizeOptimal(state.bbox.rect.width, state.bbox.rect.height, optimalDimension)) {
       const bboxDims = calculateNewSize(state.bbox.aspectRatio.value, optimalDimension * optimalDimension);

invokeai/frontend/web/src/features/controlLayers/store/sessionReducers.ts

@@ -14,9 +14,9 @@ export const sessionReducers = {
     state.tool.selectedBuffer = state.tool.selected;
     state.tool.selected = 'view';
   },
-  sessionImageStaged: (state, action: PayloadAction<StagingAreaImage>) => {
-    const { imageDTO, rect } = action.payload;
-    state.session.stagedImages.push({ imageDTO, rect });
+  sessionImageStaged: (state, action: PayloadAction<{ stagingAreaImage: StagingAreaImage }>) => {
+    const { stagingAreaImage } = action.payload;
+    state.session.stagedImages.push(stagingAreaImage);
     state.session.selectedStagedImageIndex = state.session.stagedImages.length - 1;
   },
   sessionNextStagedImageSelected: (state) => {

invokeai/frontend/web/src/features/controlLayers/store/types.ts

@@ -828,7 +828,8 @@ export type LoRA = {
 
 export type StagingAreaImage = {
   imageDTO: ImageDTO;
-  rect: Rect;
+  offsetX: number;
+  offsetY: number;
 };
 
 export type CanvasV2State = {

invokeai/frontend/web/src/features/nodes/util/graph/generation/addInpaint.ts

@@ -66,8 +66,7 @@ export const addInpaint = async (
     const canvasPasteBack = g.addNode({
       id: 'canvas_v2_mask_and_crop',
       type: 'canvas_v2_mask_and_crop',
-      invert: true,
-      crop_visible: true,
+      mask_blur: compositing.maskBlur,
     });
 
     // Resize initial image and mask to scaled size, feed into to gradient mask
@@ -113,8 +112,7 @@ export const addInpaint = async (
     const canvasPasteBack = g.addNode({
       id: 'canvas_v2_mask_and_crop',
       type: 'canvas_v2_mask_and_crop',
-      invert: true,
-      crop_visible: true,
+      mask_blur: compositing.maskBlur,
     });
     g.addEdge(alphaToMask, 'image', createGradientMask, 'mask');
     g.addEdge(i2l, 'latents', denoise, 'latents');

invokeai/frontend/web/src/features/nodes/util/graph/generation/addNSFWChecker.ts

@@ -10,7 +10,7 @@ import type { Invocation } from 'services/api/types';
  */
 export const addNSFWChecker = (
   g: Graph,
-  imageOutput: Invocation<'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_paste_back'>
+  imageOutput: Invocation<'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop'>
 ): Invocation<'img_nsfw'> => {
   const nsfw = g.addNode({
     id: NSFW_CHECKER,

invokeai/frontend/web/src/features/nodes/util/graph/generation/addOutpaint.ts

@@ -101,8 +101,7 @@ export const addOutpaint = async (
     const canvasPasteBack = g.addNode({
       id: 'canvas_v2_mask_and_crop',
       type: 'canvas_v2_mask_and_crop',
-      invert: true,
-      crop_visible: true,
+      mask_blur: compositing.maskBlur,
     });
 
     // Resize initial image and mask to scaled size, feed into to gradient mask
@@ -147,8 +146,7 @@ export const addOutpaint = async (
     const canvasPasteBack = g.addNode({
       id: 'canvas_v2_mask_and_crop',
       type: 'canvas_v2_mask_and_crop',
-      invert: true,
-      crop_visible: true,
+      mask_blur: compositing.maskBlur,
     });
     g.addEdge(maskAlphaToMask, 'image', maskCombine, 'mask1');
     g.addEdge(initialImageAlphaToMask, 'image', maskCombine, 'mask2');

invokeai/frontend/web/src/features/nodes/util/graph/generation/addWatermarker.ts

@@ -10,7 +10,7 @@ import type { Invocation } from 'services/api/types';
  */
 export const addWatermarker = (
   g: Graph,
-  imageOutput: Invocation<'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_paste_back'>
+  imageOutput: Invocation<'l2i' | 'img_nsfw' | 'img_watermark' | 'img_resize' | 'canvas_v2_mask_and_crop'>
 ): Invocation<'img_watermark'> => {
   const watermark = g.addNode({
     id: WATERMARKER,