Files
a1111-sd-webui-tagcomplete/javascript/_textAreas.js
2025-07-12 18:29:06 +02:00

219 lines
8.6 KiB
JavaScript

// Utility functions to select text areas the script should work on,
// including third party options.
TAC.TextAreas = new (function () {
// Core text area selectors
const core = [
"#txt2img_prompt > label > textarea",
"#img2img_prompt > label > textarea",
"#txt2img_neg_prompt > label > textarea",
"#img2img_neg_prompt > label > textarea",
".prompt > label > textarea",
"#txt2img_edit_style_prompt > label > textarea",
"#txt2img_edit_style_neg_prompt > label > textarea",
"#img2img_edit_style_prompt > label > textarea",
"#img2img_edit_style_neg_prompt > label > textarea",
];
// Third party text area selectors
const thirdParty = {
"dataset-tag-editor": {
base: "#tab_dataset_tag_editor_interface",
hasIds: false,
selectors: [
"Caption of Selected Image",
"Interrogate Result",
"Edit Caption",
"Edit Tags",
],
},
"image browser": {
base: "#tab_image_browser",
hasIds: false,
selectors: ["Filename keyword search", "EXIF keyword search"],
},
tab_tagger: {
base: "#tab_tagger",
hasIds: false,
selectors: ["Additional tags (split by comma)", "Exclude tags (split by comma)"],
},
"tiled-diffusion-t2i": {
base: "#txt2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=MD-t2i][id$=prompt] textarea",
"[id^=MD-t2i][id$=prompt] input[type='text']",
],
},
"tiled-diffusion-i2i": {
base: "#img2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=MD-i2i][id$=prompt] textarea",
"[id^=MD-i2i][id$=prompt] input[type='text']",
],
},
"adetailer-t2i": {
base: "#txt2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=script_txt2img_adetailer_ad_prompt] textarea",
"[id^=script_txt2img_adetailer_ad_negative_prompt] textarea",
],
},
"adetailer-i2i": {
base: "#img2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=script_img2img_adetailer_ad_prompt] textarea",
"[id^=script_img2img_adetailer_ad_negative_prompt] textarea",
],
},
"deepdanbooru-object-recognition": {
base: "#tab_deepdanboru_object_recg_tab",
hasIds: false,
selectors: ["Found tags"],
},
TIPO: {
base: "#tab_txt2img",
hasIds: false,
selectors: ["Tag Prompt"],
},
};
this.getTextAreas = function () {
// First get all core text areas
let textAreas = [...gradioApp().querySelectorAll(core.join(", "))];
for (const [key, entry] of Object.entries(thirdParty)) {
if (entry.hasIds) {
// If the entry has proper ids, we can just select them
textAreas = textAreas.concat([
...gradioApp().querySelectorAll(entry.selectors.join(", ")),
]);
} else {
// Otherwise, we have to find the text areas by their adjacent labels
let base = gradioApp().querySelector(entry.base);
// Safety check
if (!base) continue;
let allTextAreas = [...base.querySelectorAll("textarea, input[type='text']")];
// Filter the text areas where the adjacent label matches one of the selectors
let matchingTextAreas = allTextAreas.filter((ta) =>
[...ta.parentElement.childNodes].some((x) =>
entry.selectors.includes(x.innerText)
)
);
textAreas = textAreas.concat(matchingTextAreas);
}
}
return textAreas;
}
this.addOnDemandObservers = function (setupFunction) {
for (const [key, entry] of Object.entries(thirdParty)) {
if (!entry.onDemand) continue;
let base = gradioApp().querySelector(entry.base);
if (!base) continue;
let accordions = [...base?.querySelectorAll(".gradio-accordion")];
if (!accordions) continue;
accordions.forEach((acc) => {
let accObserver = new MutationObserver((mutationList, observer) => {
for (const mutation of mutationList) {
if (mutation.type === "childList") {
let newChildren = mutation.addedNodes;
if (!newChildren) {
accObserver.disconnect();
continue;
}
newChildren.forEach((child) => {
if (
child.classList.contains("gradio-accordion") ||
child.querySelector(".gradio-accordion")
) {
let newAccordions = [
...child.querySelectorAll(".gradio-accordion"),
];
newAccordions.forEach((nAcc) =>
accObserver.observe(nAcc, { childList: true })
);
}
});
if (entry.hasIds) {
// If the entry has proper ids, we can just select them
[
...gradioApp().querySelectorAll(entry.selectors.join(", ")),
].forEach((x) => setupFunction(x));
} else {
// Otherwise, we have to find the text areas by their adjacent labels
let base = gradioApp().querySelector(entry.base);
// Safety check
if (!base) continue;
let allTextAreas = [
...base.querySelectorAll("textarea, input[type='text']"),
];
// Filter the text areas where the adjacent label matches one of the selectors
let matchingTextAreas = allTextAreas.filter((ta) =>
[...ta.parentElement.childNodes].some((x) =>
entry.selectors.includes(x.innerText)
)
);
matchingTextAreas.forEach((x) => setupFunction(x));
}
}
}
});
accObserver.observe(acc, { childList: true });
});
}
}
const thirdPartyIdSet = new Set();
// Get the identifier for the text area to differentiate between positive and negative
this.getTextAreaIdentifier = function (textArea) {
let txt2img_p = gradioApp().querySelector("#txt2img_prompt > label > textarea");
let txt2img_n = gradioApp().querySelector("#txt2img_neg_prompt > label > textarea");
let img2img_p = gradioApp().querySelector("#img2img_prompt > label > textarea");
let img2img_n = gradioApp().querySelector("#img2img_neg_prompt > label > textarea");
let modifier = "";
switch (textArea) {
case txt2img_p:
modifier = ".txt2img.p";
break;
case txt2img_n:
modifier = ".txt2img.n";
break;
case img2img_p:
modifier = ".img2img.p";
break;
case img2img_n:
modifier = ".img2img.n";
break;
default:
// If the text area is not a core text area, it must be a third party text area
// Add it to the set of third party text areas and get its index as a unique identifier
if (!thirdPartyIdSet.has(textArea)) thirdPartyIdSet.add(textArea);
modifier = `.thirdParty.ta${[...thirdPartyIdSet].indexOf(textArea)}`;
break;
}
return modifier;
}
})();