mirror of
https://github.com/DominikDoom/a1111-sd-webui-tagcomplete.git
synced 2026-01-26 19:19:57 +00:00
198 lines
7.2 KiB
JavaScript
198 lines
7.2 KiB
JavaScript
// Utility functions to select text areas the script should work on,
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// including third party options.
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// Supported third party options so far:
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// - Dataset Tag Editor
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// Core text area selectors
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const core = [
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"#txt2img_prompt > label > textarea",
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"#img2img_prompt > label > textarea",
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"#txt2img_neg_prompt > label > textarea",
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"#img2img_neg_prompt > label > textarea",
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".prompt > label > textarea",
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"#txt2img_edit_style_prompt > label > textarea",
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"#txt2img_edit_style_neg_prompt > label > textarea",
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"#img2img_edit_style_prompt > label > textarea",
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"#img2img_edit_style_neg_prompt > label > textarea"
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];
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// Third party text area selectors
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const thirdParty = {
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"dataset-tag-editor": {
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"base": "#tab_dataset_tag_editor_interface",
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"hasIds": false,
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"selectors": [
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"Caption of Selected Image",
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"Interrogate Result",
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"Edit Caption",
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"Edit Tags"
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]
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},
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"image browser": {
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"base": "#tab_image_browser",
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"hasIds": false,
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"selectors": [
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"Filename keyword search",
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"EXIF keyword search"
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]
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},
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"tab_tagger": {
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"base": "#tab_tagger",
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"hasIds": false,
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"selectors": [
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"Additional tags (split by comma)",
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"Exclude tags (split by comma)"
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]
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},
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"tiled-diffusion-t2i": {
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"base": "#txt2img_script_container",
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"hasIds": true,
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"onDemand": true,
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"selectors": [
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"[id^=MD-t2i][id$=prompt] textarea",
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"[id^=MD-t2i][id$=prompt] input[type='text']"
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]
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},
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"tiled-diffusion-i2i": {
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"base": "#img2img_script_container",
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"hasIds": true,
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"onDemand": true,
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"selectors": [
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"[id^=MD-i2i][id$=prompt] textarea",
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"[id^=MD-i2i][id$=prompt] input[type='text']"
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]
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},
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"adetailer-t2i": {
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"base": "#txt2img_script_container",
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"hasIds": true,
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"onDemand": true,
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"selectors": [
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"[id^=script_txt2img_adetailer_ad_prompt] textarea",
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"[id^=script_txt2img_adetailer_ad_negative_prompt] textarea"
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]
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},
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"adetailer-i2i": {
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"base": "#img2img_script_container",
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"hasIds": true,
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"onDemand": true,
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"selectors": [
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"[id^=script_img2img_adetailer_ad_prompt] textarea",
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"[id^=script_img2img_adetailer_ad_negative_prompt] textarea"
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]
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},
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"deepdanbooru-object-recognition": {
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"base": "#tab_deepdanboru_object_recg_tab",
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"hasIds": false,
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"selectors": [
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"Found tags",
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]
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}
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}
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function getTextAreas() {
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// First get all core text areas
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let textAreas = [...gradioApp().querySelectorAll(core.join(", "))];
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for (const [key, entry] of Object.entries(thirdParty)) {
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if (entry.hasIds) { // If the entry has proper ids, we can just select them
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textAreas = textAreas.concat([...gradioApp().querySelectorAll(entry.selectors.join(", "))]);
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} else { // Otherwise, we have to find the text areas by their adjacent labels
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let base = gradioApp().querySelector(entry.base);
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// Safety check
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if (!base) continue;
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let allTextAreas = [...base.querySelectorAll("textarea, input[type='text']")];
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// Filter the text areas where the adjacent label matches one of the selectors
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let matchingTextAreas = allTextAreas.filter(ta => [...ta.parentElement.childNodes].some(x => entry.selectors.includes(x.innerText)));
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textAreas = textAreas.concat(matchingTextAreas);
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}
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};
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return textAreas;
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}
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function addOnDemandObservers(setupFunction) {
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for (const [key, entry] of Object.entries(thirdParty)) {
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if (!entry.onDemand) continue;
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let base = gradioApp().querySelector(entry.base);
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if (!base) continue;
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let accordions = [...base?.querySelectorAll(".gradio-accordion")];
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if (!accordions) continue;
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accordions.forEach(acc => {
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let accObserver = new MutationObserver((mutationList, observer) => {
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for (const mutation of mutationList) {
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if (mutation.type === "childList") {
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let newChildren = mutation.addedNodes;
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if (!newChildren) {
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accObserver.disconnect();
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continue;
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}
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newChildren.forEach(child => {
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if (child.classList.contains("gradio-accordion") || child.querySelector(".gradio-accordion")) {
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let newAccordions = [...child.querySelectorAll(".gradio-accordion")];
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newAccordions.forEach(nAcc => accObserver.observe(nAcc, { childList: true }));
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}
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});
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if (entry.hasIds) { // If the entry has proper ids, we can just select them
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[...gradioApp().querySelectorAll(entry.selectors.join(", "))].forEach(x => setupFunction(x));
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} else { // Otherwise, we have to find the text areas by their adjacent labels
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let base = gradioApp().querySelector(entry.base);
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// Safety check
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if (!base) continue;
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let allTextAreas = [...base.querySelectorAll("textarea, input[type='text']")];
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// Filter the text areas where the adjacent label matches one of the selectors
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let matchingTextAreas = allTextAreas.filter(ta => [...ta.parentElement.childNodes].some(x => entry.selectors.includes(x.innerText)));
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matchingTextAreas.forEach(x => setupFunction(x));
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}
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}
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}
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});
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accObserver.observe(acc, { childList: true });
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});
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};
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}
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const thirdPartyIdSet = new Set();
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// Get the identifier for the text area to differentiate between positive and negative
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function getTextAreaIdentifier(textArea) {
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let txt2img_p = gradioApp().querySelector('#txt2img_prompt > label > textarea');
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let txt2img_n = gradioApp().querySelector('#txt2img_neg_prompt > label > textarea');
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let img2img_p = gradioApp().querySelector('#img2img_prompt > label > textarea');
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let img2img_n = gradioApp().querySelector('#img2img_neg_prompt > label > textarea');
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let modifier = "";
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switch (textArea) {
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case txt2img_p:
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modifier = ".txt2img.p";
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break;
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case txt2img_n:
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modifier = ".txt2img.n";
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break;
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case img2img_p:
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modifier = ".img2img.p";
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break;
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case img2img_n:
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modifier = ".img2img.n";
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break;
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default:
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// If the text area is not a core text area, it must be a third party text area
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// Add it to the set of third party text areas and get its index as a unique identifier
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if (!thirdPartyIdSet.has(textArea))
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thirdPartyIdSet.add(textArea);
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modifier = `.thirdParty.ta${[...thirdPartyIdSet].indexOf(textArea)}`;
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break;
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}
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return modifier;
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}
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