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https://github.com/invoke-ai/InvokeAI
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feat(ui): add save to gallery button
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@ -1654,6 +1654,10 @@
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"storeNotInitialized": "Store is not initialized"
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},
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"controlLayers": {
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"saveCanvasToGallery": "Save Canvas To Gallery",
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"saveBboxToGallery": "Save Bbox To Gallery",
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"savedToGalleryOk": "Saved to Gallery",
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"savedToGalleryError": "Error saving to gallery",
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"clearHistory": "Clear History",
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"generateMode": "Generate",
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"generateModeDesc": "Create individual images. Generated images are added directly to the gallery.",
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@ -2,6 +2,7 @@
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import { Flex, Spacer } from '@invoke-ai/ui-library';
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import { CanvasResetViewButton } from 'features/controlLayers/components/CanvasResetViewButton';
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import { CanvasScale } from 'features/controlLayers/components/CanvasScale';
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import { SaveToGalleryButton } from 'features/controlLayers/components/SaveToGalleryButton';
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import { CanvasSettingsPopover } from 'features/controlLayers/components/Settings/CanvasSettingsPopover';
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import { ToolChooser } from 'features/controlLayers/components/Tool/ToolChooser';
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import { ToolFillColorPicker } from 'features/controlLayers/components/Tool/ToolFillColorPicker';
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@ -27,6 +28,7 @@ export const ControlLayersToolbar = memo(() => {
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<CanvasResetViewButton />
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<Spacer />
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<ToolFillColorPicker />
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<SaveToGalleryButton />
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<CanvasSettingsPopover />
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<ViewerToggle />
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</Flex>
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@ -0,0 +1,53 @@
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import { IconButton, useShiftModifier } from '@invoke-ai/ui-library';
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import { logger } from 'app/logging/logger';
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import { buildUseBoolean } from 'common/hooks/useBoolean';
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import { isOk, withResultAsync } from 'common/util/result';
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import { useCanvasManager } from 'features/controlLayers/contexts/CanvasManagerProviderGate';
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import { toast } from 'features/toast/toast';
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import { memo, useCallback } from 'react';
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import { useTranslation } from 'react-i18next';
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import { PiFloppyDiskBold } from 'react-icons/pi';
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import { serializeError } from 'serialize-error';
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const log = logger('canvas');
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const [useIsSaving] = buildUseBoolean(false);
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export const SaveToGalleryButton = memo(() => {
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const { t } = useTranslation();
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const shift = useShiftModifier();
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const canvasManager = useCanvasManager();
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const isSaving = useIsSaving();
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const onClick = useCallback(async () => {
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isSaving.setTrue();
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const rect = shift ? canvasManager.stateApi.getBbox().rect : canvasManager.stage.getVisibleRect();
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const result = await withResultAsync(() =>
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canvasManager.compositor.rasterizeAndUploadCompositeRasterLayer(rect, true)
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);
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if (isOk(result)) {
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toast({ title: t('controlLayers.savedToGalleryOk') });
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} else {
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log.error({ error: serializeError(result.error) }, 'Failed to save canvas to gallery');
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toast({ title: t('controlLayers.savedToGalleryError'), status: 'error' });
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}
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isSaving.setFalse();
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}, [canvasManager.compositor, canvasManager.stage, canvasManager.stateApi, isSaving, shift, t]);
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return (
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<IconButton
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variant="ghost"
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onClick={onClick}
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icon={<PiFloppyDiskBold />}
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isLoading={isSaving.isTrue}
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aria-label={shift ? t('controlLayers.saveBboxToGallery') : t('controlLayers.saveCanvasToGallery')}
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tooltip={shift ? t('controlLayers.saveBboxToGallery') : t('controlLayers.saveCanvasToGallery')}
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/>
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);
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});
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SaveToGalleryButton.displayName = 'SaveToGalleryButton';
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@ -147,6 +147,19 @@ export class CanvasCompositorModule extends CanvasModuleABC {
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return stableHash(data);
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};
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rasterizeAndUploadCompositeRasterLayer = async (rect: Rect, saveToGallery: boolean) => {
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this.log.trace({ rect }, 'Rasterizing composite raster layer');
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const canvas = this.getCompositeRasterLayerCanvas(rect);
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const blob = await canvasToBlob(canvas);
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if (this.manager._isDebugging) {
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previewBlob(blob, 'Composite raster layer canvas');
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}
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return uploadImage(blob, 'composite-raster-layer.png', 'general', !saveToGallery);
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};
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getCompositeRasterLayerImageDTO = async (rect: Rect): Promise<ImageDTO> => {
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let imageDTO: ImageDTO | null = null;
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@ -161,15 +174,7 @@ export class CanvasCompositorModule extends CanvasModuleABC {
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}
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}
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this.log.trace({ rect }, 'Rasterizing composite raster layer');
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const canvas = this.getCompositeRasterLayerCanvas(rect);
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const blob = await canvasToBlob(canvas);
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if (this.manager._isDebugging) {
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previewBlob(blob, 'Composite raster layer canvas');
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}
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imageDTO = await uploadImage(blob, 'composite-raster-layer.png', 'general', true);
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imageDTO = await this.rasterizeAndUploadCompositeRasterLayer(rect, false);
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this.manager.cache.imageNameCache.set(hash, imageDTO.image_name);
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return imageDTO;
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};
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@ -85,26 +85,23 @@ export class CanvasStageModule extends CanvasModuleABC {
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}
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}
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const rectUnion = getRectUnion(...rects);
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if (rectUnion.width === 0 || rectUnion.height === 0) {
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// fall back to the bbox if there is no content
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return this.manager.stateApi.getBbox().rect;
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} else {
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return rectUnion;
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}
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return getRectUnion(...rects);
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};
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fitBboxToStage = () => {
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this.log.trace('Fitting bbox to stage');
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const bbox = this.manager.stateApi.getBbox();
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this.fitRect(bbox.rect);
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const { rect } = this.manager.stateApi.getBbox();
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this.log.trace({ rect }, 'Fitting bbox to stage');
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this.fitRect(rect);
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};
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fitLayersToStage() {
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this.log.trace('Fitting layers to stage');
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const rect = this.getVisibleRect();
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this.fitRect(rect);
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if (rect.width === 0 || rect.height === 0) {
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this.fitBboxToStage();
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} else {
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this.log.trace({ rect }, 'Fitting layers to stage');
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this.fitRect(rect);
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}
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}
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fitRect = (rect: Rect) => {
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