mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
use fn to get width/height of output image
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5060bf2f62
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@ -2,7 +2,7 @@ import type { RootState } from 'app/store/store';
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import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers';
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import type { GraphType } from 'features/nodes/util/graph/generation/Graph';
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import { Graph } from 'features/nodes/util/graph/generation/Graph';
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import { isNonRefinerMainModelConfig, isSpandrelImageToImageModelConfig } from 'services/api/types';
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import { ImageDTO, isNonRefinerMainModelConfig, isSpandrelImageToImageModelConfig } from 'services/api/types';
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import { assert } from 'tsafe';
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import {
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@ -25,7 +25,11 @@ import { addLoRAs } from './generation/addLoRAs';
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import { addSDXLLoRas } from './generation/addSDXLLoRAs';
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import { getBoardField, getSDXLStylePrompts } from './graphBuilderUtils';
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export const UPSCALE_SCALE = 2;
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const UPSCALE_SCALE = 2;
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export const getOutputImageSize = (initialImage: ImageDTO) => {
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return { width: ((initialImage.width * UPSCALE_SCALE) / 8) * 8, height: ((initialImage.height * UPSCALE_SCALE) / 8) * 8 }
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}
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export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promise<GraphType> => {
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const { model, cfgScale: cfg_scale, scheduler, steps, vaePrecision, seed, vae } = state.generation;
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@ -38,33 +42,32 @@ export const buildMultidiffusionUpscsaleGraph = async (state: RootState): Promis
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assert(upscaleInitialImage, 'No initial image found in state');
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assert(tileControlnetModel, 'Tile controlnet is required');
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const outputWidth = ((upscaleInitialImage.width * UPSCALE_SCALE) / 8) * 8;
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const outputHeight = ((upscaleInitialImage.height * UPSCALE_SCALE) / 8) * 8;
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const { width: outputWidth, height: outputHeight } = getOutputImageSize(upscaleInitialImage)
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const g = new Graph();
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const unsharpMaskNode1 = g.addNode({
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id: `${UNSHARP_MASK}_1`,
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type: 'unsharp_mask',
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image: upscaleInitialImage,
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radius: 2,
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strength: (sharpness + 10) * 3.75 + 25,
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});
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// const unsharpMaskNode1 = g.addNode({
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// id: `${UNSHARP_MASK}_1`,
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// type: 'unsharp_mask',
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// image: upscaleInitialImage,
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// radius: 2,
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// strength: (sharpness + 10) * 3.75 + 25,
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// });
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const upscaleNode = g.addNode({
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id: SPANDREL,
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type: 'spandrel_image_to_image',
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image_to_image_model: upscaleModel,
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tile_size: 500,
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image: upscaleInitialImage
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});
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g.addEdge(unsharpMaskNode1, 'image', upscaleNode, 'image');
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const unsharpMaskNode2 = g.addNode({
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id: `${UNSHARP_MASK}_2`,
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type: 'unsharp_mask',
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radius: 2,
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strength: 50,
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strength: (sharpness + 10) * 3.75 + 25,
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});
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g.addEdge(upscaleNode, 'image', unsharpMaskNode2, 'image');
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@ -1,6 +1,6 @@
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import { Flex, Text } from '@invoke-ai/ui-library';
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import { useAppSelector } from 'app/store/storeHooks';
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import { UPSCALE_SCALE } from 'features/nodes/util/graph/buildMultidiffusionUpscaleGraph';
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import { getOutputImageSize } from 'features/nodes/util/graph/buildMultidiffusionUpscaleGraph';
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import { useMemo } from 'react';
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import { useTranslation } from 'react-i18next';
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@ -10,7 +10,8 @@ export const UpscaleSizeDetails = () => {
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const outputSizeText = useMemo(() => {
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if (upscaleInitialImage) {
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return `${t('upscaling.outputImageSize')}: ${upscaleInitialImage.width * UPSCALE_SCALE} ${t('upscaling.x')} ${upscaleInitialImage.height * UPSCALE_SCALE}`;
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const { width, height } = getOutputImageSize(upscaleInitialImage);
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return `${t('upscaling.outputImageSize')}: ${width} ${t('upscaling.x')} ${height}`;
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}
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}, [upscaleInitialImage, t]);
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