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compositing in frontend
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committed by
psychedelicious
parent
5e20c9a1ca
commit
23627cf18d
@@ -1,5 +1,6 @@
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import { withResult, withResultAsync } from 'common/util/result';
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import { CanvasCacheModule } from 'features/controlLayers/konva/CanvasCacheModule';
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import type { CanvasEntityAdapterInpaintMask } from 'features/controlLayers/konva/CanvasEntity/CanvasEntityAdapterInpaintMask';
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import type { CanvasEntityAdapter, CanvasEntityAdapterFromType } from 'features/controlLayers/konva/CanvasEntity/types';
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import type { CanvasManager } from 'features/controlLayers/konva/CanvasManager';
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import { CanvasModuleBase } from 'features/controlLayers/konva/CanvasModuleBase';
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@@ -426,6 +427,147 @@ export class CanvasCompositorModule extends CanvasModuleBase {
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return this.mergeByEntityIdentifiers(entityIdentifiers, false);
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};
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/**
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* Creates and uploads a grayscale representation of the noise masks or any other attribute.
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* This produces an image with a white background where the mask is represented by dark values
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* rather than transparency.
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*
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* @param adapters The adapters for the canvas entities to composite
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* @param rect The region to include in the rasterized image
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* @param attribute The attribute to use for grayscale values (defaults to 'noiseLevel')
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* @param uploadOptions Options for uploading the image
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* @param forceUpload If true, the image is always re-uploaded, returning a new image DTO
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* @returns A promise that resolves to the image DTO
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*/
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getGrayscaleMaskCompositeImageDTO = async (
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adapters: CanvasEntityAdapterInpaintMask[],
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rect: Rect,
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attribute: 'noiseLevel' = 'noiseLevel',
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uploadOptions: SetOptional<Omit<UploadImageArg, 'file'>, 'image_category'> = { is_intermediate: true },
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forceUpload?: boolean
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): Promise<ImageDTO> => {
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assert(rect.width > 0 && rect.height > 0, 'Unable to rasterize empty rect');
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//const entityIdentifiers = adapters.map((adapter) => adapter.entityIdentifier);
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// Use a unique hash that includes the attribute name for caching
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const hash = this.getCompositeHash(adapters, { rect, attribute, grayscale: true });
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const cachedImageName = forceUpload ? undefined : this.manager.cache.imageNameCache.get(hash);
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let imageDTO: ImageDTO | null = null;
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if (cachedImageName) {
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imageDTO = await getImageDTOSafe(cachedImageName);
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if (imageDTO) {
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this.log.debug({ rect, imageName: cachedImageName, imageDTO }, 'Using cached grayscale composite image');
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return imageDTO;
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}
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this.log.warn({ rect, imageName: cachedImageName }, 'Cached grayscale image name not found, recompositing');
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}
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// Create a white background canvas
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const canvas = document.createElement('canvas');
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canvas.width = rect.width;
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canvas.height = rect.height;
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const ctx = canvas.getContext('2d');
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assert(ctx !== null, 'Canvas 2D context is null');
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// Fill with white first (creates white background)
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ctx.fillStyle = 'white';
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ctx.fillRect(0, 0, rect.width, rect.height);
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// Apply special compositing mode
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ctx.globalCompositeOperation = 'darken';
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// Draw each adapter's content
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for (const adapter of adapters) {
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this.log.debug({ entityIdentifier: adapter.entityIdentifier }, 'Drawing entity to grayscale composite canvas');
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// Get the canvas from the adapter
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const adapterCanvas = adapter.getCanvas(rect);
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// Create a temporary canvas for grayscale conversion
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const tempCanvas = document.createElement('canvas');
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tempCanvas.width = adapterCanvas.width;
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tempCanvas.height = adapterCanvas.height;
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const tempCtx = tempCanvas.getContext('2d');
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assert(tempCtx !== null, 'Temp canvas 2D context is null');
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// Draw the original adapter canvas to the temp canvas
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tempCtx.drawImage(adapterCanvas, 0, 0);
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// Get the image data for processing
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const imageData = tempCtx.getImageData(0, 0, tempCanvas.width, tempCanvas.height);
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const data = imageData.data;
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// Convert alpha values to grayscale based on the specified attribute
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// Get the attribute value with proper type checking
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const attributeValue = typeof adapter.state[attribute] === 'number' ? (adapter.state[attribute] as number) : 1.0; // Default to full strength if attribute is not a number
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// Process all pixels in the image data
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for (let i = 3; i < data.length; i += 4) {
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// Make sure we're accessing valid array indices
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if (i + 3 < data.length) {
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const alpha = data[i + 3]! / 255;
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// Calculate grayscale value: white (255) for no mask, darker for stronger mask
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// Scale according to the attribute value (higher attribute = darker pixels)
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const grayValue = Math.max(0, Math.min(255, 255 - Math.round(255 * alpha * attributeValue)));
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data[i] = grayValue; // R
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data[i + 1] = grayValue; // G
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data[i + 2] = grayValue; // B
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data[i + 3] = 255; // A (fully opaque)
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}
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}
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// Put the processed image data back to the temp canvas
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tempCtx.putImageData(imageData, 0, 0);
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// Draw the temp canvas to the main canvas
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ctx.drawImage(tempCanvas, 0, 0);
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}
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// Convert to blob and upload
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this.$isProcessing.set(true);
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const blobResult = await withResultAsync(() => canvasToBlob(canvas));
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this.$isProcessing.set(false);
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if (blobResult.isErr()) {
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this.log.error(
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{ error: serializeError(blobResult.error) },
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'Failed to convert grayscale composite canvas to blob'
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);
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throw blobResult.error;
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}
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const blob = blobResult.value;
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if (this.manager._isDebugging) {
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previewBlob(blob, 'Grayscale Composite');
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}
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this.$isUploading.set(true);
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const uploadResult = await withResultAsync(() =>
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uploadImage({
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file: new File([blob], 'canvas-grayscale-composite.png', { type: 'image/png' }),
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image_category: 'general',
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...uploadOptions,
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})
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);
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this.$isUploading.set(false);
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if (uploadResult.isErr()) {
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throw uploadResult.error;
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}
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imageDTO = uploadResult.value;
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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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/**
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* Calculates the transparency of the composite of the give adapters.
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* @param adapters The adapters to composite
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