Files
ComfyUI-Lora-Manager/web/comfyui/utils.js

270 lines
9.2 KiB
JavaScript

export const CONVERTED_TYPE = 'converted-widget';
import { AutoComplete } from "./autocomplete.js";
export function chainCallback(object, property, callback) {
if (object == undefined) {
//This should not happen.
console.error("Tried to add callback to non-existant object")
return;
}
if (property in object) {
const callback_orig = object[property]
object[property] = function () {
const r = callback_orig.apply(this, arguments);
callback.apply(this, arguments);
return r
};
} else {
object[property] = callback;
}
}
export function getComfyUIFrontendVersion() {
return window['__COMFYUI_FRONTEND_VERSION__'] || "0.0.0";
}
// Dynamically import the appropriate widget based on app version
export async function dynamicImportByVersion(latestModulePath, legacyModulePath) {
// Parse app version and compare with 1.12.6 (version when tags widget API changed)
const currentVersion = getComfyUIFrontendVersion();
const versionParts = currentVersion.split('.').map(part => parseInt(part, 10));
const requiredVersion = [1, 12, 6];
// Compare version numbers
for (let i = 0; i < 3; i++) {
if (versionParts[i] > requiredVersion[i]) {
console.log(`Using latest widget: ${latestModulePath}`);
return import(latestModulePath);
} else if (versionParts[i] < requiredVersion[i]) {
console.log(`Using legacy widget: ${legacyModulePath}`);
return import(legacyModulePath);
}
}
// If we get here, versions are equal, use the latest module
console.log(`Using latest widget: ${latestModulePath}`);
return import(latestModulePath);
}
export function hideWidgetForGood(node, widget, suffix = "") {
widget.origType = widget.type;
widget.origComputeSize = widget.computeSize;
widget.origSerializeValue = widget.serializeValue;
widget.computeSize = () => [0, -4]; // -4 is due to the gap litegraph adds between widgets automatically
widget.type = CONVERTED_TYPE + suffix;
// widget.serializeValue = () => {
// // Prevent serializing the widget if we have no input linked
// const w = node.inputs?.find((i) => i.widget?.name === widget.name);
// if (w?.link == null) {
// return undefined;
// }
// return widget.origSerializeValue ? widget.origSerializeValue() : widget.value;
// };
// Hide any linked widgets, e.g. seed+seedControl
if (widget.linkedWidgets) {
for (const w of widget.linkedWidgets) {
hideWidgetForGood(node, w, `:${widget.name}`);
}
}
}
// Function to get the appropriate loras widget based on ComfyUI version
export async function getLorasWidgetModule() {
return await dynamicImportByVersion("./loras_widget.js", "./legacy_loras_widget.js");
}
// Update pattern to match both formats: <lora:name:model_strength> or <lora:name:model_strength:clip_strength>
export const LORA_PATTERN = /<lora:([^:]+):([-\d\.]+)(?::([-\d\.]+))?>/g;
// Get connected Lora Stacker nodes that feed into the current node
export function getConnectedInputStackers(node) {
const connectedStackers = [];
if (node.inputs) {
for (const input of node.inputs) {
if (input.name === "lora_stack" && input.link) {
const link = app.graph.links[input.link];
if (link) {
const sourceNode = app.graph.getNodeById(link.origin_id);
if (sourceNode && sourceNode.comfyClass === "Lora Stacker (LoraManager)") {
connectedStackers.push(sourceNode);
}
}
}
}
}
return connectedStackers;
}
// Get connected TriggerWord Toggle nodes that receive output from the current node
export function getConnectedTriggerToggleNodes(node) {
const connectedNodes = [];
if (node.outputs && node.outputs.length > 0) {
for (const output of node.outputs) {
if (output.links && output.links.length > 0) {
for (const linkId of output.links) {
const link = app.graph.links[linkId];
if (link) {
const targetNode = app.graph.getNodeById(link.target_id);
if (targetNode && targetNode.comfyClass === "TriggerWord Toggle (LoraManager)") {
connectedNodes.push(targetNode.id);
}
}
}
}
}
}
return connectedNodes;
}
// Extract active lora names from a node's widgets
export function getActiveLorasFromNode(node) {
const activeLoraNames = new Set();
// For lorasWidget style entries (array of objects)
if (node.lorasWidget && node.lorasWidget.value) {
node.lorasWidget.value.forEach(lora => {
if (lora.active) {
activeLoraNames.add(lora.name);
}
});
}
return activeLoraNames;
}
// Recursively collect all active loras from a node and its input chain
export function collectActiveLorasFromChain(node, visited = new Set()) {
// Prevent infinite loops from circular references
if (visited.has(node.id)) {
return new Set();
}
visited.add(node.id);
// Get active loras from current node
const allActiveLoraNames = getActiveLorasFromNode(node);
// Get connected input stackers and collect their active loras
const inputStackers = getConnectedInputStackers(node);
for (const stacker of inputStackers) {
const stackerLoras = collectActiveLorasFromChain(stacker, visited);
stackerLoras.forEach(name => allActiveLoraNames.add(name));
}
return allActiveLoraNames;
}
// Update trigger words for connected toggle nodes
export function updateConnectedTriggerWords(node, loraNames) {
const connectedNodeIds = getConnectedTriggerToggleNodes(node);
if (connectedNodeIds.length > 0) {
fetch("/api/loras/get_trigger_words", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
lora_names: Array.from(loraNames),
node_ids: connectedNodeIds
})
}).catch(err => console.error("Error fetching trigger words:", err));
}
}
export function mergeLoras(lorasText, lorasArr) {
// Parse lorasText into a map: name -> {strength, clipStrength}
const parsedLoras = {};
let match;
LORA_PATTERN.lastIndex = 0;
while ((match = LORA_PATTERN.exec(lorasText)) !== null) {
const name = match[1];
const modelStrength = Number(match[2]);
const clipStrength = match[3] ? Number(match[3]) : modelStrength;
parsedLoras[name] = { strength: modelStrength, clipStrength };
}
// Build result array in the order of lorasArr
const result = [];
const usedNames = new Set();
for (const lora of lorasArr) {
if (parsedLoras[lora.name]) {
result.push({
name: lora.name,
strength: lora.strength !== undefined ? lora.strength : parsedLoras[lora.name].strength,
active: lora.active !== undefined ? lora.active : true,
expanded: lora.expanded !== undefined ? lora.expanded : false,
clipStrength: lora.clipStrength !== undefined ? lora.clipStrength : parsedLoras[lora.name].clipStrength,
});
usedNames.add(lora.name);
}
}
// Add any new loras from lorasText that are not in lorasArr, in their text order
for (const name in parsedLoras) {
if (!usedNames.has(name)) {
result.push({
name,
strength: parsedLoras[name].strength,
active: true,
clipStrength: parsedLoras[name].clipStrength,
});
}
}
return result;
}
/**
* Initialize autocomplete for an input widget and setup cleanup
* @param {Object} node - The node instance
* @param {Object} inputWidget - The input widget to add autocomplete to
* @param {Function} originalCallback - The original callback function
* @returns {Function} Enhanced callback function with autocomplete
*/
export function setupInputWidgetWithAutocomplete(node, inputWidget, originalCallback) {
let autocomplete = null;
// Enhanced callback that initializes autocomplete and calls original callback
const enhancedCallback = (value) => {
// Initialize autocomplete on first callback if not already done
if (!autocomplete && inputWidget.inputEl) {
autocomplete = new AutoComplete(inputWidget.inputEl, 'loras', {
maxItems: 15,
minChars: 1,
debounceDelay: 200
});
// Store reference for cleanup
node.autocomplete = autocomplete;
}
// Call the original callback
if (originalCallback) {
originalCallback(value);
}
};
// Setup cleanup on node removal
setupAutocompleteCleanup(node);
return enhancedCallback;
}
/**
* Setup autocomplete cleanup when node is removed
* @param {Object} node - The node instance
*/
export function setupAutocompleteCleanup(node) {
// Override onRemoved to cleanup autocomplete
const originalOnRemoved = node.onRemoved;
node.onRemoved = function() {
if (this.autocomplete) {
this.autocomplete.destroy();
this.autocomplete = null;
}
if (originalOnRemoved) {
originalOnRemoved.call(this);
}
};
}