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Integrate Stable Diffusion with the Imaginate layer (#784)
* Add AI Artist layer * WIP add a button to download the rendered folder under an AI Artist layer * Successfully download the correct image * Break out image downloading JS into helper function * Change file download from using data URLs to blob URLs * WIP rasterize to blob * Remove dimensions from AI Artist layer * Successfully draw rasterized image on layer after calculation * Working txt2img generation based on user prompt * Add img2img and the main parameters * Fix ability to rasterize multi-depth documents with blob URL images by switching them to base64 * Fix test * Rasterize with artboard background color * Allow aspect ratio stretch of AI Artist images * Add automatic resolution choosing * Add a terminate button, and make the lifecycle more robust * Add negative prompt * Add range bounds for parameter inputs * Add seed * Add tiling and restore faces * Add server status check, server hostname customization, and resizing layer to fit AI Artist resolution * Fix background color of infinite canvas rasterization * Escape prompt text sent in the JSON * Revoke blob URLs when cleared/replaced to reduce memory leak * Fix welcome screen logo color * Add PreferencesMessageHandler * Add persistent storage of preferences * Fix crash introduced in previous commit when moving mouse on page load * Add tooltips to the AI Artist layer properties * Integrate AI Artist tool into the raster section of the tool shelf * Add a refresh button to the connection status * Fix crash when generating and switching to a different document tab * Add persistent image storage to AI Artist layers and fix duplication bugs * Add a generate with random seed button * Simplify and standardize message names * Majorly improve robustness of networking code * Fix race condition causing default server hostname to show disconnected when app loads with AI Artist layer selected (probably, not confirmed fixed) * Clean up messages and function calls by changing arguments into structs * Update API to more recent server commit * Add support for picking the sampling method * Add machinery for filtering selected layers with type * Replace placeholder button icons * Improve the random icon by tilting the dice * Use selected_layers() instead of repeating that code * Fix borrow error * Change message flow in progress towards fixing #797 * Allow loading image on non-active document (fixes #797) * Reduce code duplication with rasterization * Add AI Artist tool and layer icons, and remove ugly node layer icon style * Rename "AI Artist" codename to "Imaginate" feature name Co-authored-by: otdavies <oliver@psyfer.io> Co-authored-by: 0hypercube <0hypercube@gmail.com>
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co-authored by
otdavies
0hypercube
parent
06acd45a81
commit
30719bdc72
@@ -1,5 +1,7 @@
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import { replaceBlobURLsWithBase64 } from "@/utility-functions/files";
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// Rasterize the string of an SVG document at a given width and height and turn it into the blob data of an image file matching the given MIME type
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export function rasterizeSVG(svg: string, width: number, height: number, mime: string, backgroundColor?: string): Promise<Blob> {
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export async function rasterizeSVG(svg: string, width: number, height: number, mime: string, backgroundColor?: string): Promise<Blob> {
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let promiseResolve: (value: Blob | PromiseLike<Blob>) => void | undefined;
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let promiseReject: () => void | undefined;
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const promise = new Promise<Blob>((resolve, reject) => {
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@@ -21,9 +23,12 @@ export function rasterizeSVG(svg: string, width: number, height: number, mime: s
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context.fillRect(0, 0, width, height);
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}
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// This SVG rasterization scheme has the limitation that it cannot access blob URLs, so they must be inlined to base64 URLs
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const svgWithBase64Images = await replaceBlobURLsWithBase64(svg);
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// Create a blob URL for our SVG
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const image = new Image();
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const svgBlob = new Blob([svg], { type: "image/svg+xml;charset=utf-8" });
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const svgBlob = new Blob([svgWithBase64Images], { type: "image/svg+xml;charset=utf-8" });
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const url = URL.createObjectURL(svgBlob);
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image.onload = (): void => {
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// Draw our SVG to the canvas
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