ff762b8f17
- Enhanced cursor behavior for new tools: semantic select, mask lasso, and mask rectangle. - Updated mask edit state to include mask asset ID and kind. - Implemented inpaint region commands for adding, applying, and removing inpaint regions. - Introduced new operations for lasso and semantic selection tools. - Created UI components for candidate review and inpaint region management. - Added tests for inpaint region commands to ensure functionality. - Updated various components to support new inpaint features and improve user experience.
329 lines
15 KiB
TypeScript
329 lines
15 KiB
TypeScript
import type { Asset } from "@core/asset";
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import type { ImageDocument } from "@core/document";
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import type { Rect } from "@core/geometry";
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import type { AssetId, InpaintRegionId, LayerId } from "@core/id";
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import type { Layer } from "@core/layer";
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import type { SelectionState } from "@editor/state";
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import type { GenerateSettings } from "@editor/tools";
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import { createDocumentReadIndex, resolveIndexedLayerBounds } from "@editor/document-indexes";
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import { createNormalizedMaskSource, cropCanvas, cropMaskValuesToDataUrl, expandRectWithinBounds, loadImageCanvas, sampleDocumentCanvasInLayerSpace } from "@platform/browser/maskRaster";
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import { renderArtboardCanvas } from "@platform/browser/exportArtboardPng";
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export type InpaintBundle = {
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inputImage: string;
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sourceImage: string;
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contextImage: string;
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maskImage: string;
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editMaskImage: string;
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blendMaskImage: string;
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width: number;
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height: number;
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targetLayerId: LayerId;
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regionId: InpaintRegionId;
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sourceAssetId: AssetId;
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maskAssetId: AssetId;
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revision: { source: string; mask: string };
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crop: {
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assetBounds: Rect;
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documentBounds: Rect;
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padding: number;
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maskedAreaOnly: boolean;
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};
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mask: {
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polarity: GenerateSettings["inpaint"]["maskPolarity"];
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activeBounds: Rect;
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};
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placement: {
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artboardId: string;
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layerName: string;
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transform: Extract<Layer, { type: "image" | "raster" }>["transform"];
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};
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backend: {
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growMaskBy: number;
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maskedContent: GenerateSettings["inpaint"]["maskedContent"];
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maskBlur: number;
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maskFeather: number;
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maskExpand: number;
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cropPadding: number;
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};
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};
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type InpaintTarget = {
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artboardId: string;
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layer: Extract<Layer, { type: "image" | "raster" }>;
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asset: Asset;
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maskAsset: Asset;
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regionId: InpaintRegionId;
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};
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const modelMultiple = 8;
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const minModelSize = 64;
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const maxModelSize = 4096;
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export async function buildInpaintBundle(document: ImageDocument, selection: SelectionState, settings: GenerateSettings): Promise<InpaintBundle> {
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const target = resolveInpaintTarget(document, selection);
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validateInpaintTarget(target);
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const width = Math.max(1, Math.round(target.asset.intrinsicSize.w));
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const height = Math.max(1, Math.round(target.asset.intrinsicSize.h));
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const sourceLimit = target.layer.sourceRect ?? { x: 0, y: 0, w: width, h: height };
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const editMask = await createNormalizedMaskSource(target.maskAsset.source, width, height, {
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polarity: "revealed",
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despeckle: settings.inpaint.maskDespeckle,
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limit: sourceLimit,
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});
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const noiseMask = await createNormalizedMaskSource(target.maskAsset.source, width, height, {
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polarity: "revealed",
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expand: settings.inpaint.maskExpand,
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blur: settings.inpaint.maskBlur,
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despeckle: settings.inpaint.maskDespeckle,
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limit: sourceLimit,
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});
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const blendMask = await createNormalizedMaskSource(target.maskAsset.source, width, height, {
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polarity: "revealed",
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feather: settings.inpaint.maskFeather,
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despeckle: settings.inpaint.maskDespeckle,
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limit: sourceLimit,
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});
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if (!editMask.bounds || !noiseMask.bounds) throw new Error("Paint over the area you want AI to replace.");
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const crop = settings.inpaint.maskedAreaOnly
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? expandRectWithinBounds(noiseMask.bounds, settings.inpaint.cropPadding, { w: width, h: height }, modelMultiple, minModelSize)
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: { x: 0, y: 0, w: width, h: height };
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const outputWidth = toModelSize(crop.w, "width");
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const outputHeight = toModelSize(crop.h, "height");
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const sourceCanvas = await loadImageCanvas(target.asset.source, width, height);
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const sourceImage = cropCanvas(sourceCanvas, crop, outputWidth, outputHeight);
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const preparedCanvas = prepareMaskedContentInputCanvas(await loadImageCanvas(target.asset.source, width, height), editMask.values, settings.inpaint.maskedContent);
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const preparedSourceImage = cropCanvas(preparedCanvas, crop, outputWidth, outputHeight);
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const artboard = document.artboards.find((candidate) => candidate.id === target.artboardId);
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if (!artboard) throw new Error("The target artboard no longer exists.");
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const contextImage = sampleDocumentCanvasInLayerSpace(await renderArtboardCanvas(artboard, document.assets), artboard.bounds, target.layer, target.asset.intrinsicSize, crop, outputWidth, outputHeight);
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const inputImage = await mergePreparedRegionIntoContext(contextImage, preparedSourceImage, cropMaskValuesToDataUrl(editMask.values, width, height, crop, outputWidth, outputHeight), outputWidth, outputHeight);
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const maskImage = cropMaskValuesToDataUrl(noiseMask.values, width, height, crop, outputWidth, outputHeight);
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const editMaskImage = cropMaskValuesToDataUrl(editMask.values, width, height, crop, outputWidth, outputHeight);
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const blendMaskImage = cropMaskValuesToDataUrl(blendMask.values, width, height, crop, outputWidth, outputHeight);
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const scaleX = target.layer.transform.scale.x;
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const scaleY = target.layer.transform.scale.y;
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const documentBounds = {
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x: target.layer.transform.position.x + crop.x * scaleX,
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y: target.layer.transform.position.y + crop.y * scaleY,
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w: outputWidth * scaleX,
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h: outputHeight * scaleY,
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};
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return {
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inputImage,
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sourceImage,
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contextImage,
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maskImage,
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editMaskImage,
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blendMaskImage,
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width: outputWidth,
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height: outputHeight,
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targetLayerId: target.layer.id,
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regionId: target.regionId,
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sourceAssetId: target.asset.id,
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maskAssetId: target.maskAsset.id,
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crop: {
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assetBounds: crop,
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documentBounds,
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padding: settings.inpaint.cropPadding,
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maskedAreaOnly: settings.inpaint.maskedAreaOnly,
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},
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mask: {
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polarity: "revealed",
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activeBounds: editMask.bounds,
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},
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placement: {
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artboardId: target.artboardId,
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layerName: `${target.layer.name} inpaint`,
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transform: {
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position: rotatedCropPosition(target.layer, target.asset, { ...crop, w: outputWidth, h: outputHeight }),
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scale: { x: documentBounds.w / outputWidth, y: documentBounds.h / outputHeight },
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rotation: target.layer.transform.rotation,
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},
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},
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backend: {
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growMaskBy: settings.inpaint.growMaskBy,
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maskedContent: settings.inpaint.maskedContent,
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maskBlur: settings.inpaint.maskBlur,
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maskFeather: settings.inpaint.maskFeather,
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maskExpand: settings.inpaint.maskExpand,
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cropPadding: settings.inpaint.cropPadding,
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},
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revision: {
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source: await createContentRevision(target.asset.source),
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mask: await createContentRevision(target.maskAsset.source),
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},
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};
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}
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function resolveInpaintTarget(document: ImageDocument, selection: SelectionState): InpaintTarget {
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if (selection.layerIds.length !== 1 || !selection.layerIds[0]) throw new Error("Select one image or raster layer to inpaint.");
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const documentIndex = createDocumentReadIndex(document);
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const layerInfo = documentIndex.layerInfoById.get(selection.layerIds[0]);
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if (!layerInfo || (layerInfo.layer.type !== "image" && layerInfo.layer.type !== "raster")) throw new Error("Select one image or raster layer to inpaint. Text must be rasterized first.");
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const asset = documentIndex.assetById.get(layerInfo.layer.assetId);
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if (!asset) throw new Error("The selected layer is missing its source image.");
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const region = document.inpaintRegions.find((candidate) => candidate.targetLayerId === layerInfo.layer.id && candidate.enabled);
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if (!region) throw new Error("Add an AI edit region before running inpaint.");
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const maskAsset = documentIndex.assetById.get(region.maskAssetId);
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if (!maskAsset) throw new Error("The AI edit region is missing its mask data.");
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if (!resolveIndexedLayerBounds(documentIndex, layerInfo.layer)) throw new Error("Unable to resolve the selected layer bounds.");
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return { artboardId: layerInfo.artboardId, layer: layerInfo.layer, asset, maskAsset, regionId: region.id };
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}
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function validateInpaintTarget(target: InpaintTarget) {
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if (target.asset.intrinsicSize.w <= 0 || target.asset.intrinsicSize.h <= 0) throw new Error("The selected image has an invalid size.");
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if (target.maskAsset.intrinsicSize.w <= 0 || target.maskAsset.intrinsicSize.h <= 0) throw new Error("The selected mask has an invalid size.");
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if (Math.round(target.asset.intrinsicSize.w) !== Math.round(target.maskAsset.intrinsicSize.w) || Math.round(target.asset.intrinsicSize.h) !== Math.round(target.maskAsset.intrinsicSize.h)) {
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throw new Error("The selected layer and mask image sizes do not match.");
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}
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}
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function toModelSize(value: number, axis: "width" | "height"): number {
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const rounded = Math.max(minModelSize, Math.ceil(value / modelMultiple) * modelMultiple);
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if (rounded > maxModelSize) throw new Error(`The inpaint ${axis} is too large for the model. Use masked-area inpaint or a smaller source.`);
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return rounded;
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}
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function prepareMaskedContentInputCanvas(sourceCanvas: HTMLCanvasElement, maskValues: Uint8ClampedArray, mode: GenerateSettings["inpaint"]["maskedContent"]): HTMLCanvasElement {
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if (mode === "neutral" || mode === "originalColor") return sourceCanvas;
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const context = sourceCanvas.getContext("2d");
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if (!context) return sourceCanvas;
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const imageData = context.getImageData(0, 0, sourceCanvas.width, sourceCanvas.height);
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imageData.data.set(applyMaskedContentModeToRgba(imageData.data, sourceCanvas.width, sourceCanvas.height, maskValues, mode));
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context.putImageData(imageData, 0, 0);
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return sourceCanvas;
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}
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export function applyMaskedContentModeToRgba(data: Uint8ClampedArray, width: number, height: number, maskValues: Uint8ClampedArray, mode: GenerateSettings["inpaint"]["maskedContent"]): Uint8ClampedArray {
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const next = new Uint8ClampedArray(data);
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if (mode === "neutral" || mode === "originalColor") return next;
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const edgeValues = mode === "edges" ? createEdgeMapValues(data, width, height) : undefined;
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for (let pixel = 0; pixel < width * height; pixel += 1) {
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const amount = (maskValues[pixel] ?? 0) / 255;
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if (amount <= 0) continue;
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const index = pixel * 4;
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const red = data[index] ?? 0;
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const green = data[index + 1] ?? 0;
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const blue = data[index + 2] ?? 0;
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const target = edgeValues ? edgeValues[pixel] ?? 128 : luminance(red, green, blue);
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next[index] = blendChannel(red, target, amount);
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next[index + 1] = blendChannel(green, target, amount);
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next[index + 2] = blendChannel(blue, target, amount);
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}
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return next;
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}
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function createEdgeMapValues(data: Uint8ClampedArray, width: number, height: number): Uint8ClampedArray {
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const gray = new Float32Array(width * height);
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const edges = new Uint8ClampedArray(width * height);
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for (let pixel = 0; pixel < width * height; pixel += 1) {
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const index = pixel * 4;
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gray[pixel] = luminance(data[index] ?? 0, data[index + 1] ?? 0, data[index + 2] ?? 0);
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}
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for (let y = 0; y < height; y += 1) {
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for (let x = 0; x < width; x += 1) {
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const gx =
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-sampleGray(gray, width, height, x - 1, y - 1) +
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sampleGray(gray, width, height, x + 1, y - 1) -
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2 * sampleGray(gray, width, height, x - 1, y) +
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2 * sampleGray(gray, width, height, x + 1, y) -
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sampleGray(gray, width, height, x - 1, y + 1) +
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sampleGray(gray, width, height, x + 1, y + 1);
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const gy =
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-sampleGray(gray, width, height, x - 1, y - 1) -
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2 * sampleGray(gray, width, height, x, y - 1) -
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sampleGray(gray, width, height, x + 1, y - 1) +
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sampleGray(gray, width, height, x - 1, y + 1) +
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2 * sampleGray(gray, width, height, x, y + 1) +
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sampleGray(gray, width, height, x + 1, y + 1);
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const magnitude = Math.hypot(gx, gy);
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edges[y * width + x] = Math.round(clampNumber(128 + Math.max(0, magnitude - 24) * 0.75, 128, 255));
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}
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}
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return edges;
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}
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function sampleGray(values: Float32Array, width: number, height: number, x: number, y: number): number {
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const clampedX = Math.max(0, Math.min(width - 1, x));
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const clampedY = Math.max(0, Math.min(height - 1, y));
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return values[clampedY * width + clampedX] ?? 0;
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}
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function luminance(red: number, green: number, blue: number): number {
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return Math.round(0.2126 * red + 0.7152 * green + 0.0722 * blue);
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}
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function blendChannel(previous: number, next: number, amount: number): number {
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return Math.round(previous * (1 - amount) + next * amount);
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}
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function clampNumber(value: number, min: number, max: number): number {
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return Math.max(min, Math.min(max, value));
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}
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async function mergePreparedRegionIntoContext(contextSource: string, preparedSource: string, editMaskSource: string, width: number, height: number): Promise<string> {
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const [contextCanvas, preparedCanvas, maskCanvas] = await Promise.all([
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loadImageCanvas(contextSource, width, height),
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loadImageCanvas(preparedSource, width, height),
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loadImageCanvas(editMaskSource, width, height),
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]);
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const context = contextCanvas.getContext("2d");
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const prepared = preparedCanvas.getContext("2d");
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const mask = maskCanvas.getContext("2d");
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if (!context || !prepared || !mask) return contextSource;
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const contextData = context.getImageData(0, 0, width, height);
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const preparedData = prepared.getImageData(0, 0, width, height);
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const maskData = mask.getImageData(0, 0, width, height);
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for (let pixel = 0; pixel < width * height; pixel += 1) {
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const amount = (maskData.data[pixel * 4] ?? 0) / 255;
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if (amount <= 0) continue;
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for (let channel = 0; channel < 4; channel += 1) {
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const index = pixel * 4 + channel;
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contextData.data[index] = blendChannel(contextData.data[index] ?? 0, preparedData.data[index] ?? 0, amount);
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}
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}
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context.putImageData(contextData, 0, 0);
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return contextCanvas.toDataURL("image/png");
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}
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function rotatedCropPosition(layer: InpaintTarget["layer"], asset: Asset, crop: Rect) {
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const source = layer.sourceRect ?? { x: 0, y: 0, ...asset.intrinsicSize };
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const scale = layer.transform.scale;
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const originalCenter = {
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x: layer.transform.position.x + (source.x + source.w / 2) * scale.x,
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y: layer.transform.position.y + (source.y + source.h / 2) * scale.y,
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};
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const cropCenter = {
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x: layer.transform.position.x + (crop.x + crop.w / 2) * scale.x,
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y: layer.transform.position.y + (crop.y + crop.h / 2) * scale.y,
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};
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const dx = cropCenter.x - originalCenter.x;
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const dy = cropCenter.y - originalCenter.y;
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const cos = Math.cos(layer.transform.rotation);
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const sin = Math.sin(layer.transform.rotation);
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const rotatedCenter = { x: originalCenter.x + dx * cos - dy * sin, y: originalCenter.y + dx * sin + dy * cos };
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return { x: rotatedCenter.x - crop.w * scale.x / 2, y: rotatedCenter.y - crop.h * scale.y / 2 };
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}
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export async function createContentRevision(source: string): Promise<string> {
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const digest = await crypto.subtle.digest("SHA-256", new TextEncoder().encode(source));
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return Array.from(new Uint8Array(digest), (byte) => byte.toString(16).padStart(2, "0")).join("");
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}
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