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

184 lines
7.2 KiB
JavaScript

import { app } from "../../scripts/app.js";
import { dynamicImportByVersion } from "./utils.js";
// Extract pattern into a constant for consistent use
const LORA_PATTERN = /<lora:([^:]+):([-\d\.]+)>/g;
// Function to get the appropriate loras widget based on ComfyUI version
async function getLorasWidgetModule() {
return await dynamicImportByVersion("./loras_widget.js", "./legacy_loras_widget.js");
}
// Function to get connected trigger toggle nodes
function getConnectedTriggerToggleNodes(node) {
const connectedNodes = [];
// Check if node has outputs
if (node.outputs && node.outputs.length > 0) {
// For each output slot
for (const output of node.outputs) {
// Check if this output has any links
if (output.links && output.links.length > 0) {
// For each link, get the target node
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;
}
// Function to update trigger words for connected toggle nodes
function updateConnectedTriggerWords(node, text) {
const connectedNodeIds = getConnectedTriggerToggleNodes(node);
if (connectedNodeIds.length > 0) {
// Extract lora names from the text
const loraNames = [];
let match;
// Reset the RegExp object's lastIndex to start from the beginning
LORA_PATTERN.lastIndex = 0;
while ((match = LORA_PATTERN.exec(text)) !== null) {
loraNames.push(match[1]); // match[1] contains the lora name
}
// Call API to get trigger words
fetch("/loramanager/get_trigger_words", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
lora_names: loraNames,
node_ids: connectedNodeIds
})
}).catch(err => console.error("Error fetching trigger words:", err));
}
}
function mergeLoras(lorasText, lorasArr) {
const result = [];
let match;
// Parse text input and create initial entries
while ((match = LORA_PATTERN.exec(lorasText)) !== null) {
const name = match[1];
const inputStrength = Number(match[2]);
// Find if this lora exists in the array data
const existingLora = lorasArr.find(l => l.name === name);
result.push({
name: name,
// Use existing strength if available, otherwise use input strength
strength: existingLora ? existingLora.strength : inputStrength,
active: existingLora ? existingLora.active : true
});
}
return result;
}
app.registerExtension({
name: "LoraManager.LoraLoader",
async nodeCreated(node) {
if (node.comfyClass === "Lora Loader (LoraManager)") {
// Enable widget serialization
node.serialize_widgets = true;
node.addInput('clip', 'CLIP', {
"shape": 7
});
node.addInput("lora_stack", 'LORA_STACK', {
"shape": 7 // 7 is the shape of the optional input
});
// Wait for node to be properly initialized
requestAnimationFrame(async () => {
// Restore saved value if exists
let existingLoras = [];
if (node.widgets_values && node.widgets_values.length > 0) {
const savedValue = node.widgets_values[1];
// TODO: clean up this code
try {
// Check if the value is already an array/object
if (typeof savedValue === 'object' && savedValue !== null) {
existingLoras = savedValue;
} else if (typeof savedValue === 'string') {
existingLoras = JSON.parse(savedValue);
}
} catch (e) {
console.warn("Failed to parse loras data:", e);
existingLoras = [];
}
}
// Merge the loras data
const mergedLoras = mergeLoras(node.widgets[0].value, existingLoras);
// Add flag to prevent callback loops
let isUpdating = false;
// Dynamically load the appropriate widget module
const lorasModule = await getLorasWidgetModule();
const { addLorasWidget } = lorasModule;
// Get the widget object directly from the returned object
const result = addLorasWidget(node, "loras", {
defaultVal: mergedLoras // Pass object directly
}, (value) => {
// Prevent recursive calls
if (isUpdating) return;
isUpdating = true;
try {
// Remove loras that are not in the value array
const inputWidget = node.widgets[0];
const currentLoras = value.map(l => l.name);
// Use the constant pattern here as well
let newText = inputWidget.value.replace(LORA_PATTERN, (match, name, strength) => {
return currentLoras.includes(name) ? match : '';
});
// Clean up multiple spaces and trim
newText = newText.replace(/\s+/g, ' ').trim();
inputWidget.value = newText;
// Add this line to update trigger words when lorasWidget changes cause inputWidget value to change
updateConnectedTriggerWords(node, newText);
} finally {
isUpdating = false;
}
});
node.lorasWidget = result.widget;
// Update input widget callback
const inputWidget = node.widgets[0];
inputWidget.callback = (value) => {
if (isUpdating) return;
isUpdating = true;
try {
const currentLoras = node.lorasWidget.value || [];
const mergedLoras = mergeLoras(value, currentLoras);
node.lorasWidget.value = mergedLoras;
// Replace the existing trigger word update code with the new function
updateConnectedTriggerWords(node, value);
} finally {
isUpdating = false;
}
};
});
}
},
});